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    Information to be confirmed. PLEASE NOTE THE EVENT TIME IS 12.00PM TO 1.00PM AEDT - MEMBERS OUTSIDE OF ACT, NSW, VIC & TAS NEED TO ADJUST TIMES ACCORDINGLY Description: About the presenter:
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  5. It's all happening Down-Under; three Aussie companies have launched four satellites for IoT connectivity in the past few weeks. https://www.theage.com.au/national/how-a-tiny-box-attached-to-a-cow-s-ear-is-making-waves-in-space-20181205-p50kas.html
  6. Last week, Adelaide startup Fleet Space Technologies launched its Proxima I and II CubeSats from New Zealand, marking the company’s first commercial satellite launch and laying the foundation for free global connectivity for the industrial Internet of Things (IoT). https://www.createdigital.org.au/adelaide-startups-cubesat-launch-is-an-australian-first/?utm_source=ExactTarget&utm_medium=email&utm_campaign=EDM-20181120 This story appeared in createdigital - an Engineers Australia eNewsletter
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    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Overview > Introduction. You can also view a list of all recordings. To be notified of upcoming webinars, register on this website and tick the newsletter box. --------------------------------------------------------------------------------------------------------- EVENT OF INTEREST TO IOT COMMUNITY LIVE CANBERRA EVENT TOMORROW – WEDNESDAY 14 NOVEMBER, 12PM TO 1.30PM (join via Webinar for Non-Canberra members) Tomorrow, 14 November, the Risk Engineering Society will be hosting a live discussion panel and Q&A session on the risks associated with and future of driverless or AV (Autonomous Vehicles). The event will be held at the Seeing Machines Office in Fyshwick from 12pm to 1.30pm, details of the event are outlined below. The cost of attending is free to members and seats are limited so please register promptly to avoid missing out. To register please go to the Engineers Australia website: https://www.engineersaustralia.org.au/Event/software-wheels-driver-awareness-and-can-drive-trial Live Event & National Webinar Entrusting the driving task to a computer will eventually become a reality, but the journey to then will be gradual, complex and potentially dangerous. Synopsis As we grapple with the reality of dealing with a range of Autonomous Vehicles (AV) on our roads, there is general agreement these vehicles will make driving easier, more comfortable, and eventually, safer. Entrusting the driving task to a computer will eventually become a reality, but the journey to then will be gradual, complex, and potentially dangerous. As the technology improves the risk profile changes and the number of unexpected and potentially dangerous events the car will not be able to reliably respond to will reduce. However, this raises new issues around driver awareness where the driver could become complacent in an environment where increasing speed and other, unforeseen obstacles could result in potentially dire consequences. This raises new challenges for many organisations involved with AV safety including regulators, manufacturers, law enforcement, and associated organisations such as Engineers Australia and the Australasian New Car Assessment Program (ANCAP). The ACT Government, together with Seeing Machines, has established an AV study - initiated the CAN drive - trial which will, through observing driver behaviour in an automated vehicle setting, help us better understand when and why, from both a safety and a regulatory perspective, a driver should be in control rather than the automated vehicle, and help to manage the transition from one to the other with reduced risk. The CAN Drive trial CAN drive supports a growing appetite internationally to understand issues such as when and how drivers will use automated driving functions and how it might impact their awareness of the environment around them, as well as their ability to take control of steering and speed functions from the vehicle when required, and at short notice. A panel discussion will be held at Seeing Machines offices, Fyshwick, and broadcast live via a National Webinar. Speaker 1: Mr Andrew McCredie, ACT Government AV Trial Governance Committee: Why CAN drive trial is being conducted. Speaker 2: Mr Ken Kroeger, Chairman, Seeing Machines Ltd: What Seeing Machines are doing, and what have found so far. Ken joined Seeing Machines in 2011 as CEO. Under Ken’s leadership the company has been strategically transformed into a recognized industry leader in computer vision, eye-tracking and intervention safety products and services with leading customers such as Caterpillar. Ken’s understanding of computer technology was honed at the North Alberta Institute of Technology. His experience as a technology entrepreneur came to the fore when he moved to Australia in the mid-1990s and co-founded 3D simulation and training provider Catalyst Interactive. Ken’s exposure to a wide range of industries, governments and defence/security agencies at an international level, has allowed him to develop a solid understanding of how technology can be applied to help people and organizations perform at a higher or safer level. Speaker 3: Mr James Goodwin, Chief Executive Officer, Australasian New Car Assessment Program: How this work impacts ANCAP's safety rating system. James Goodwin is a former journalist and news presenter with a professional career in corporate affairs and government relations. He has a particular interest in consumer advocacy and education, particularly in the areas of transport and safety as well as improving corporate governance in the not-for-profit sector. Prior to joining ANCAP, Mr Goodwin held the position of Director - Government Relations & Communications at the Australian Automobile Association (AAA). James also held a senior corporate affairs position with the industry body representing the interests of new car and motorcycle brands in Australia, the Federal Chamber of Automotive Industries (FCAI). Q&A Session Facilitator: Mr Geoff Hurst, FIEAust, National President of the Risk Engineering Society.
  8. This webinar has now passed. ------------------------------------------------------------------------------------------------------------------ Title: The Role of Fog Computing in IoT Presenter: Dr. Rajkumar Buyya Description: In the next two decades, Internet of Things (IoT) paradigm will play an important role in transforming the industry, environment, and society. The requirement of supporting both latency sensitive and computing intensive Internet of Things (IoT) applications is consistently boosting the necessity for integrating Edge, Fog and Cloud infrastructure. Fog computing environments harness the edge network resources to support applications and deliver services for making decisions in real-time. These intelligent IoT applications are estimated to have an economic impact of $11 trillion per year by 2025 (equivalent of 11% of the world economy). This keynote talk presents: (a) architectural principles for Fog computing to harness edge resources, (b) algorithms for QoS-based provisioning of resources and scheduling of applications along with techniques for management of failures, and (c) a novel FogBus software framework with Blockchain-based data-integrity management for facilitating end-to-end IoT-Fog(Edge)-Cloud integration for execution of sensitive IoT applications, (d) a health-care application casestudy integrating finger pulse oximeter as IoT devices with Smartphone-based gateway and Raspberry Pi-based Fog nodes for Sleep Apnea analysis, and (e) future directions in Fog and Edge computing. About the Presenter: Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=120, g-index=255, 76,800+ citations). Dr. Buyya is recognized as a "Web of Science Highly Cited Researcher" in both 2016 and 2017 by Thomson Reuters, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to Cloud computing. Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "2010 Frost & Sullivan New Product Innovation Award". Recently, He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established over 45 years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com
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    Webinar Recording: IoT Digital Utilities - Innovation from Seed to Solution, Presented by Dr Mike Dixon, CEO and Founder of Synauta Inc. --------------------------------------------------------------------------------------------------------- PLEASE NOTE THE EVENT TIME IS 12.00PM TO 1.00PM AEDT - MEMBERS OUTSIDE OF ACT, NSW, VIC & TAS NEED TO ADJUST TIMES ACCORDINGLY Description: Australian water utilities have long been global leaders in water management. We have invested heavily in technology and infrastructure, helping solve our water hardships. Is now the perfect time for Australia to leverage it’s expertise in water and harness the digital revolution to build our economy? This webinar will outline a map of digital possibilities for the Australian water utility. Digital transformation consists of the adoption of technologies for remote sensing, asset management, customer engagement, predictive analytics, artificial intelligence, augmented and virtual reality, and cybersecurity. We will highlight excellent examples from Australia and share others from across the globe. About the Presenter: Dr Mike Dixon is the CEO and Founder of Synauta Inc, an IoT company leveraging opex savings for water and power utilities by providing cyber security, sensor networks and software. He is an advisor to multiple start-ups including Sandymount Technologies, which spun out of MIT. Mike is a global expert in desalination and water treatment technology working with membrane and thermal technologies in Australia, North America, the Middle East, the Caribbean and Asia. He has worked across the entire value chain with technology manufacturers, water utilities, oil and gas companies, pharmaceutical companies and research hubs. Prior to Synauta, Mike was Applications Development Manager for NanoH2O, a global provider of reverse osmosis membranes that leveraged UCLA developed nanotechnology to lower the cost of desalination with over 300 installations in 40+ countries in the three years from market launch. LG Chem acquired NanoH2O in 2014. Mike was National President of the Young Water Professionals for the Australian Water Association in 2012 and is currently Secretary of the International Desalination Association (IDA) Board of Directors.
  10. Andrew at MEA

    What does it take to be an IoT engineer?

    Producing the IoT I’m a self-confessed ‘data-sheet junky’. This is an inexpensive and innocuous habit, allowing me to indulge in circuit daydreams at odd moments while the digital whiz-kids are struggling with coding and software and Internet issues. Many hundreds of data sheets sit quietly on my phone and are backed up in the Cloud, weighing nothing, costing nothing, crammed with applications information and a free education in how to build things with electronics. These data sheets keep my dream of being an electronics engineer alive while I do my day job in the IoT business. In the past four months – since official product launch of our latest on-farm IoT product – MEA has been running field trials with live customers, testing phone apps on every conceivable Android and iOS device and generally getting beat-up as per usual. While all that has been going on a whole new engineering project has been underway: construction of the production line. No IoT product development has been completed until you’ve built the programming and test jigs and are churning out stock to load the shelves. Boxes and boxes of built-up circuit boards arrive from remote PCB factories and pile up on the incoming stock shelves. Our operations manager hovers nervously on the fringes of the engineering team, waiting for the gun to go off. Designing the product is only half the game; the second half is running every device through electrical tests, charging batteries and load-testing them, loading firmware into various on-board microcontrollers, testing Bluetooth and other comms channels, reading sensors, milking out those all-important identifying MAC addresses, logging them and printing labels then storing test results to our server. Then there’s documentation, staff training and meshing-in all those other manufactured components such as enclosures, packaging and ancillary items. We’re building low-cost volume IoT products, so this whole production process has to be automated and run by any kid old enough to serve hamburgers. Profit margins are slim as we compete in this over-hyped and over-heated world where the final arbiter of success is a signed purchase order, positive cash flow and a light service load. Our product development team is a small enclosed world demanding high skill levels and intense concentration. Upstairs is a very different reality; our marketing folk are trying to get the knots out of the customer experience, simplifying the creation of Green Brain accounts and the downloading of the Retrieve app that runs our latest Bluetooth loggers and connects sensors and loggers through phones to our Green Brain database in the Cloud. Endless talking, phone calls, stress, tweaks to Green Brain operations – just the usual daily round while management tries to keep the MEA ship on an even keel and the books balanced. So that’s the scene around me. Except my mind is off wandering, scouting ahead to the next generation of products that will one day create an internal furor of their own. I’ve come up with a cunning new circuit for solving the Yamartino formula in the measurement of wind direction for newer faster MEA weather stations. I need a PWM-to-DAC converter and I just know I’ve got a data sheet for that somewhere…
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    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Overview > Introduction. You can also view a list of all recordings. To be notified of upcoming webinars, register on this website and tick the newsletter box. --------------------------------------------------------------------------------------------------------------------------------------- Title: IoT in Defence Part 2: Case Studies from Thales Presenter: Kerry Lunney, Country Engineering Director / Chief Engineer, Thales Australia International Council of Systems Engineering (INCOSE) President-Elect Organisation: Thales in Australia is part of a leading international electronics and systems group serving the defence, aerospace and space, security, and transport markets in Australia and throughout the world. Thales’s technology and products help airlines, air traffic control, urban transportation systems, and the energy and defence industries improve their real-time decision making. Thales as a leader in advanced systems takes advantage of the full range of IoT technologies, as appropriate to meet the needs of the customer and the ever increasing speed of technology change, in delivering its solutions. Description: The ability to capture and analyse data from distributed connected devices offers the potential to optimize processes, create new revenue streams, and improve customer service. However, the IoT also exposes organizations to new security vulnerabilities introduced by increased network connectivity and devices that are not secured by design. Likewise the ability to fully utilise an IoT product within the constraints of defence industry acquisition frameworks is not without its challenges. This presentation will cover these aspects, including technical governance regimes, to operate IoT “stuff” in the defence world. About the Presenter: As the Country Engineering Director and Chief Engineer in Thales Australia, Kerry provides technical leadership and governance on bids and projects, delivers technical training programs, and participates on a number of Technical Boards and Communities of Thales. Recent roles include Chief Systems Engineer, Solutions Architect and Design Authority. Prior to joining Thales, Kerry has worked overseas and locally for GTECH, Boeing and Rockwell. Augmenting her career in Systems and Systems Engineering, Kerry holds the position in the International Council of Systems Engineering (INCOSE) of President Elect for 2018-2019, and will be the President for 2020-2021. In addition, Kerry is a member of IEEE, a Fellow Member of Engineers Australia with the status of Engineering Executive and Chartered Professional Engineer, and holds the Expert Systems Engineering Professional (ESEP) qualification from INCOSE. This is the second in a series of webinar on the application of IoT engineering in the defence industry. The first of the presentation can be found under the Defence tab of the IoT Engineering webinar portal at https://www.engineersaustralia.org.au/portal/IoT
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    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Overview > Introduction. You can also view a list of all recordings. To be notified of upcoming webinars, register on this website and tick the newsletter box. ----------------------------------------------------------------------------------------------------------------------------------------- Title: IoT for Critical Applications – Making Regulatory Standards Work For You Presenter: Geoff Sizer, IoT Community Leader Description: IoT is increasingly finding its way into applications where safety, reliability, security and functional effectiveness are paramount. This includes use in medical, transportation, industrial, defence and even aerospace applications. The design, development and manufacture of electronics devices and software for use in these environments needs to comply with the requirements of international regulatory standards which go beyond the electromagnetic compatibility and radiocommunications standards which apply to all electronic devices. Such standards apply not only to the characteristics of the finished design, but to the processes used to develop it, including risk management. Rather than being seen as a burden, compliance with regulatory standards should be seen positively, as a way of enhancing product quality, which indeed their purpose. The aim should not be “to comply with the standard”, but to “develop a safe, reliable, high quality product”. The presentation will draw on experience gained in taking an electronics and software development team through the process of certification of its Quality Management System to ISO 13485 for medical devices – essentially ISO 9001 “on steroids”. Lessons learned can be usefully extrapolated to product development for other critical applications, and to enhance the quality of less critical commercial and consumer product designs for minimal development overhead. About the Presenter: Genesys founder and CEO Geoff Sizer has a lifelong passion for electronics and technology, and an ongoing commitment to the electronics engineering profession. He has more than 35 years experience in electronic product development ranging from complex systems to simple consumer goods for a diverse range of industries and applications. Geoff is a Fellow of Engineers Australia and a Chartered Professional. As a former President of the IREE, Geoff was instrumental in the formation of the ITEE College in Engineers Australia and is its immediate past chair. He has championed the formation of the Applied IOT Community of practice. During his career Geoff has acted as a Director or Chief Technical Officer for several leading technology firms including Advanced Systems Research Pty Ltd, Advanced Spectrum Technologies Pty Ltd, EMC Assessors Pty Ltd, Telezygology Inc and Embertec Pty Ltd .
  13. Nadine Cranenburgh

    Industrial IoT Automation

    Introduction The IoT era has been marked by an exponential increase in hardware and software capabilities. This has meant that industrial automation control systems have moved from stand-alone, discrete, relay-based automation systems towards multi-processor systems, edge- or cloud-connected systems as shown below. Diagram courtesy of Chris Vains, Siemens Australia NZ This transformation in automation systems has been mirrored in the data formats, which have moved from paper charts and manual reports to big data applications which can collect insights from multiple sites around the globe and enable predictive analysis and decision making. Diagram courtesy of Chris Vains, Siemens Australia NZ A major shift in focus has been the increasing trend to use industrial data to improve processes in the future as well as find out why things went wrong in the past. One example is the use of ‘prescription’ which is the process of changing the use of assets to extend their life or improve processes when data analytics have predicted a failure is imminent. Industrial IoT (IIoT) requirements and data model IoT solutions for industry have specific requirements. As well as needing to be reliable and robust enough to survive in an industrial environment, they need to be scalable and meet industrial cybersecurity standards. Interoperability with legacy systems, which may be 10 to 20 years old, is also key, and industrial clients require the ability to customise solutions to meet their specific requirements. Solutions need to be commercially available in the long term to provide continuous business models to clients. A general example of an IoT data model for a manufacturing application is shown below. Diagram courtesy of Chris Vains, Siemens Australia NZ In industrial applications, the cost of monitoring reliability of equipment to minimise production downtime needs to be balanced against the cost of the parts, as it might be cheaper to run to failure rather than monitor depending on the cost of downtime. The diagram below shows the kinds of input data and analysis that might be implemented for a packaging production line application. Diagram courtesy of Chris Vains, Siemens Australia NZ Platform as a service One cloud-computing tool for the IIoT is ‘platform as a service’ (PaaS). This is an IoT operating system that connects things and collects data. API interfaces allow other service providers to connect and offer additional functionality such as data analytics. It can also be used for application development, testing and deployment. Examples include Siemen’s MindSphere, Honeywell Sentience and GE Predix. Staged approach Rolling out IoT-based automation in industry generally follows a staged approach. For example, operations might start by implementing a data-driven approach to improve transparency and asset management and use data to automate a standalone process. As the IoT solution merges with the company’s systems and data collection and integration becomes more mature, it will start to drive proactive automation of processes. Industry can then progress to introducing digital ‘twins’ for products, production and performance to feed data on potential changes into offline models before implementing them in the production plant. The final stage is using tools such as augmented reality and AI to gain high-level insights from data that can drive innovation and system optimisation. This concept is illustrated in the diagram below. Diagram courtesy of Chris Vains, Siemens Australia NZ Future of IIoT Automation As technology continues to advance, future applications of IoT automation could include: distributed intelligence edge control eg. analytics and model-based control local optimisation eg. line monitoring and control devices to optimise performance of a production line connectivity to data outside of the reach of today’s control systems eg. environmental or weather data real-time simulation eg. data feedback for process optimisation or testing measures to improve performance. The diagram below shows a possible future data model for IIoT solutions, where edge control is the gateway for information flowing to and from the cloud to drive decision making. Diagram courtesy of Chris Vains, Siemens Australia NZ Sources: The content on this page was primarily sourced from the following: Webinar titled ‘Automation in the IoT Era’ by Chris Vains, Head of Digital Enterprise, Siemens Australia and NZ
  14. Nadine Cranenburgh

    Product development (AFR Services)

    Description: Four years ago ATF Services made a strategic decision to move into high-tech video surveillance solutions. This case study outlines the product development process for their intelligent multi-function IoT security alarm. Source: Based on a webinar titled ‘Case Study on IoT Product Development’ delivered on 14 August 2018 by Robin Mysell, CEO, ATF Services. Biography: Robin Mysell has been CEO of ATF Services for nearly six years. He has used his strategic and leadership skills to successfully transform underperforming companies faced with tough economic and competitive environments in Australia, New Zealand, and the United Kingdom. Robin is a firm believer in using technology and innovation to help improve business efficiency. Implementing continuous improvement and lean principles is one of his key transformation strategies. Introduction ATF Services needed to diversify from its core business of temporary fencing and edge protection due to market saturation with hire equipment following the end of the mining boom. They decided to move into camera-based security surveillance systems, starting with the development of a single solar panel, 4G security camera system with infrared light for night operation. The system was intended for operation at medium to large sites. Challenges to be overcome were false alerts from sources such as animals and objects flapping in the wind. Systems also needed to operate continuously, and have power backup in the case of power failure. Early stages ATF had a steep learning curve in solar power generation for their first generation cameras. Issues faced were a need to clearly define power requirements, and reliance on an expensive lithium ion phosphate battery. Climatic variations over the target markets across Australia and New Zealand, meaning that products had to be able to operate reliably in a wide range of temperatures and weather conditions. The first hurdle was to decrease power consumption to allow the move to less expensive batteries. Perfecting power management allowed the company to save around $2000 per camera by using cheaper VRSLA batteries. An image of the mature camera system is shown below. Diagram courtesy of Robin Mysell, ATF Services The team developed a stable camera system, but it was unable to see through buildings or fences, meaning that sites were vulnerable to break-ins from areas not covered by camera surveillance. To cover black-spots on site, an IP66-rated, vandal-proof wireless sensor was needed. The sensor also needed to be able to communicate with the security cameras and have a one-year battery life. After testing third party devices, ATF decided to develop an in-house solution in partnership with Genesys Electronics Design. IoT security alarm design process Most of the motion alarms on the market are built for indoor or household settings, where environmental variables are highly controlled. ATF needed industrial-grade sensors which could cope with variations in temperature and weather, as well as distinguish false alarms from animals and flapping objects. This meant that third party sensors were either inadequate or too expensive. Once the decision had been made to develop an in-house device in partnership with Genesys, AFR incorporated additional sensors into the design. These included: a tamper switch to detect interference an accelerometer to detect if the device was hit or improperly installed a microphone to detect unexpected noises such as breaking glass Limitations faced were size and power consumption. An image of the current alarm device is shown below. Diagram courtesy of Robin Mysell, ATF Services The scope of the product continually changed during the development process, based on client feedback and a growing understanding of what could be achieved. AFR is still growing its understanding of potential applications for the device. For example, using recently rolled out LPWAN technologies, the company has discovered that the security alarm device can be installed in a standalone configuration without a co-located camera. Installation in shipping containers (shown in the image below) proved to be a challenge, as sealed containers create a shielding effect and block communications. The solution implemented was to install the alarm on the container door so that communications were restored as soon as the container door was opened and a message could be sent back to base. Diagram courtesy of Robin Mysell, ATF Services ATF Services also developed a custom app for the alarm in parallel with the hardware and firmware development process. Lessons learned One lesson learned during the design process was that being involved in the product design process can mean a loss of objectivity. This means that customer feedback can be useful to gain a fresh perspective on features that would be useful to end users. Another learning was that keeping the app interface smooth and simple for clients meant a lot of work at the backend, and scoping the end user experience was crucial early in the design process as redesigning an app’s features and the device framework that communicates with the app later in the process is a huge undertaking. While writing the device framework at the same time as developing cloud services and the software backend was a challenge, AFR now has the benefit of full ownership and control of all system assets in order to make changes and undertake future development. Another lesson was in ensuring thorough up-front project scoping. Scope-creep can be a risk when building technology which is the first of its kind, and the many scope changes and time delays came at a heavy cost – doubling the original development budget. While this was a major issue in the short term, in the medium term it has provided a much more capable system, with applications that are still emerging. Since the security alarm project, AFR has started putting together a ‘wish list’ for added functionality and features at the start of the product design process and prioritising those features to understand the cost-benefit of each, with a view to how it may increase the product value over the medium to long term. Upgrade paths should be designed into a system, to take into account the rapid pace of technological development in the IoT sector. The system should also be scalable, to cope with user growth over time. The solid partnership with Genesys was another crucial factor in the success of the project.
  15. Andrew at MEA

    What does it take to be an IoT engineer?

    Constipation in the IoT In his best-selling book “The HP Way: How Bill Hewlett and I Built Our Company”, David Packard provides insights into managing and motivating people and inspiration for would-be entrepreneurs. [The following two paragraphs are an extract from the cover notes…] “From a one-car-garage company to a multibillion-dollar industry, the rise of Hewlett-Packard is an extraordinary tale of vision, innovation and hard work. Conceived in 1939, Hewlett-Packard earned success not only as a result of its engineering know-how and cutting-edge product ideas, but also because of the unique management style it developed – a way of doing things called 'the HP way'. Decades before today's creative management trends, Hewlett–Packard invented such strategies as 'walk–around management', 'flextime', and 'quality cycles'. Always sensitive to the needs of its customers and responsive to employee input, Hewlett-Packard earned massive steady growth that far outshone its competitors' vacillating fortunes, even with radically different products from those responsible for its initial boom.” Yet the pearl for me in reading The HP-Way was some advice given to Dave Packard in the company’s early formative years by an older bank manager, that more companies die of constipation than starvation. The great difficulty of being a player in the Internet of Things arena is the sheer diversity of skill-sets required to implement a useful solution to a customer’s problem. Further, one runs the risk of vacillating to a stand-still, because there are simply too many possible choices to be made between competing sensors, networks, software packages and so on. The particular area causing constipation in MEA’s product development cycle at the moment is in choosing a network operator. When MEA launched its Plexus sensor networks in 2013, choices were few and an on-farm ZigBee network feeding a 3G/4G on-site backhaul made plenty of sense if we wished to provide a one-shop solution. Similarly, there was a dearth of folk who understood cloud-based data-bases and web applications, so we created Green Brain ourselves. We weren’t even sure if mobile phones were going to be sufficiently ubiquitous to allow farmers to view their data from anywhere at any time. (Indeed, we were still creating our own Magpie PC-based data logging software at launch date) And this was only five years ago! Since then, all sorts of folk have made massive investments in parallel network developments designed specifically for the IoT; Sigfox, Taggle, Lo-Ra Wan, Myriota and Fleet Systems just to name a handful. So, from being a provider of our own network solutions, MEA is now spoiled-for-choice with low-cost carriers all anxious for us to feed our data transmissions through their gateways, locking us in to finding and billing customers while the network providers bill us. This new model – of using alternate carriers to Telstra – has plenty going for it in terms of manufacturing and transmission costs, but comes with an uncertainty in coverage. We wind up wanting to build solutions for all of them. (And indeed, they are anxious for us to do so). Constipation indeed! While I was trying to get all this sorted, Green Brain passed the one billion record mark. Perhaps the lesson to be drawn from all this is that one must simply continue to adapt one’s business model to the current technological status quo, and to be fleet-of-foot about it. The Hewlett-Packard model shows that this can be done, while listening to customers and employees at the same time.
  16. until
    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Overview > Introduction. You can also view a list of all recordings. To be notified of upcoming webinars, register on this website and tick the newsletter box. --------------------------------------------------------------------------------------------------------- Title: Scaling up: The great data challenge for IoT Presenter: Chris Law, CEO, Future Grid Description: As the world flattens, the devices that power it and connect us are churning out more and more data. When Future Grid asked why no one was providing enterprises with a powerful, scalable, affordable, user-friendly data management solution to create value from their data, everyone said it was too much data to process. This presentation addresses how to deal with this problem. About the Presenter: Chris has an extensive, 20-year history holding strategic positions across a wide variety of industries, including energy, pay TV, telecommunications and construction. Chris’s accomplishments include delivering the strategic direction for large programs of work while more recently he has supported large enterprise innovation for companies, such as Foxtel, where he led a Field Workforce transformation program that delivered savings of over $30 million per year. As the visionary shaping and driving Future Grid’s mission, Chris recognised early on the emerging problem of an overabundance of data, as more devices become connected and produced more data. He recognised companies had no way to make sense of the reams of data in an efficient, cost-effective manner, and set out to make Future Grid an accessible, customer-centric solution for utilities and telcos. Chris holds a Bachelor of Electronics Engineering from Swinburne University.
  17. grant.li

    Case Study on IoT Product Development

    until

    where is link of login to today web meeting?
  18. Andrew at MEA

    What does it take to be an IoT engineer?

    The IoT and the Sensor Black-Hole MEA’s IoT product development road-map is pretty well laid out for the next two years: new CAT-M1, Myriota satellite and Sigfox network cores will connect third-party sensors to MEA’s Green Brain web-app. This in addition to our existing Plexus long-range ZigBee on-farm networks and the new Green Brain loggers with their Bluetooth to 3G/4G hop through farmers’ mobile phones. And of course, there’s always our GDots at the really bottom-end of our product spectrum for farmers replacing IoT technology with human gray matter. This all makes perfect sense from a company perspective, but I find myself off yawning in a corner, quite rightly leaving all the young bucks to work their digital magic. The IoT scenery – so mysterious just a few years ago – has become mundane. Lots of excitement still as the brawls develop in the race to create the networks that will carry all the data from billions of sensors but – yawn – the electronics design challenge has disappeared. Just connect a few wires from sensors to the IoT module and step back while the firmware/software boys step forward to do the real product development. I nailed all the solar-battery stuff years ago, so even that’s not around to interest me anymore. In the marketplace, more and more folk are coming out of the woodwork with a piece of the IoT jigsaw puzzle in their hand, looking for folk with matching pieces. Data analysis folk are looking for databases to work on. Software companies with databases are looking for system integrators to feed them data. System integrators are looking for network modules and network operators to carry their data to the software folk. Sensor manufacturers are looking for system integrators to snap up their offerings and solve the real-world installation issues. Everyone’s looking for customers, agents, distributors or investors/buyers. Yawn. With the IoT dust settling, I’m increasingly conscious of a black-hole appearing in my peripheral vision. Where will all the new sensors come from to interface the stubbornly analog world to this burgeoning digital world? Four decades of studying and using sensors has shown me that this is an area growing at a snail’s pace by comparison to the stellar developments in the digital sphere. New stuff appears only rarely, and then its rather more an adaption of older ideas using newer processes, or is far too expensive to match the low-cost devices in the digital arena. Sadly, analogue electronics is barely taught any longer at under-graduate level and its practitioners – such as myself – are ageing and increasingly sidelined in a digital world. Sure, there are sensors available for most of the regular tasks that can feed the IoT networks, but there are plenty of instances of poor-fits between what we have and what is needed in new applications. Sensor technology then is fertile ground for feeding the ravenous appetites predicted for upstream IoT technologies. Just a few more IoT products to knock out over the coming two years and I’ll be off to the home lab to think about weird and wonderful sensors to solve all those old intractable measurement problems. We analogue engineers are well-suited for just that sort of work. And the technology needed to build and test working circuits is all available for a song on eBay. I’ll happily leave the digital wars for a new generation to fight, while I focus on doing what I love – electronic sensor design. Analogue home labs – like mine – are well-suited to tackle future sensor droughts in the burgeoning IoT era
  19. until
    Webinar Recording: This webinar has now passed. The recording can be viewed free by EA Members in MyPortal . Navigate to Industry Applications and case studies >> Other --------------------------------------------------------------------------------------------------------------- Title: A case study on IoT Product Development: "If I knew then what I know now..." Presenter: Robin Mysell, CEO, ATF Services Description: “If I knew four years ago what I know now, I would probably have saved myself a million dollars”. Robin Mysell and his team at ATF Services are at the cutting edge of IoT product development, marketing a range of consumer devices that are taking full advantage of the full range of IoT technologies. Four years ago the business provided temporary fencing and height safety services but made a strategic decision to move into high tech video surveillance solutions. The company recently launched a high-profile activity sensor called AbiBird in the competitive “aging in place” market, but the product Mysell is most proud of is a multi-function security device that he says is “truly intelligent”. In this presentation, Mysell will relate the IoT journey his company has been on, delivering some of the first IoT products based on a national LPWAN network. He will discuss what technology and business model choices that had to be considered and the development methodologies employed. Building on his “if I knew four years ago what I know now”, he will pass on lessons learned for others looking to develop IoT based products or bespoke solutions for industrial settings. About the presenter: Robin has been CEO of ATF Services for nearly 6 years. Robin has used his strategic and leadership skills to successfully transform underperforming companies faced with tough economic and competitive environments in New Zealand, United Kingdom and Australia. He is a firm believer in technology and innovation to help improve business efficiency. Implementing continuous improvement and lean principles is one of his key transformation strategies.
  20. Anastasia Stefanuk

    New IoT Devices Made in Ukraine

    https://mobilunity.ch/blog/das-internet-der-dinge-wie-findet-man-erfahrenen-iot-entwickler/
  21. Nadine Cranenburgh

    IoT in Defence

    Introduction IoT, with its ability to capture and analyse data to generate insights, is emerging as an enabling technology for defence in Australia, which is currently undergoing the most significant re-equipment since World War II. While defence was a driver of technological developments such as GPS up until the 1960s and 1970s, private commerce is driving the development of technologies such as IoT, and defence is positioning itself to leverage these technologies for its operations. This raises concerns about reliability and security of commercially sourced devices and communications networks. A major application is in national security, where defence will increasingly rely on IoT, and advanced and autonomous systems to protect society from threats such as terrorism. Data and digital warfare, intelligent bases, and maintaining the health and wellbeing of personnel are also areas where IoT solutions could be beneficial. Defence is taking an integrated approach to developing new technologies in collaboration with universities and industry, supported by the Next Generation Technologies Fund. As well as custom solutions, defence makes use of solutions and equipment developed for other industries, including satellites and nanosatellites, drones, warehousing, autonomous robots, smart energy, microgrids, and machine vision. In order for defence to take full advantage of IoT, it will need to update approaches to management and acquisition frameworks as well as considering the technical aspects of solutions. Complexity The architectural complexity of defence solutions is dependent on the usage requirements, and whether users are self-contained (as for a single mission) or distributed over a geographical area (for multiple missions or network capability). IoT solutions for defence typically fall into the ‘systems of systems’ area, including communities of interest and collaboration nets, as illustrated in the diagram below. Diagram courtesy of Kerry Lunney, Thales For commercial off the shelf (COTS) solutions, a principle that applies is intentional obsolescence. This is the idea that the solution is not designed to last forever, but with the assumption that it will be replaced after a certain number of years. Areas of IoT application and benefits The applications of IoT in defence can be divided into four areas (as described in the paper "A Review on Internet of Things for Defense and Public Safety", see Further Reading on this page): surveillance: situational awareness, troop monitoring, intrusion detection equipment tracking: forces, tanks, fighter jets, radios, technical devices emergency services: peacekeeping, homeland and broader security, firefighting, search and rescue, disaster relief, battlefield communications, energy harvesting public infrastructure: environmental monitoring, law enforcement, public protection IoT applications within defence can also be divided into the categories of logistics and supply chain, digital/data warfare, health and wellbeing and intelligent bases. Health and wellbeing of military personnel can be related to those who have been injured in conflict or monitoring how people are dealing with the stress and pressure of operations. Intelligent bases encompass remote deployed bases rather than mainland bases. These remote bases are more intelligent, and interconnected with wifi, bluetooth, and other communication protocols, but can have additional security concerns. The major benefits provided by IoT solutions within the second set of categories are summarised in the diagram below. Diagram courtesy of Kerry Lunney, Thales Land applications The Fight Recorder is based on the concept of a ‘black box’ recorder for soldiers, this device uses sensors to capture information about soldiers, their actions and motions, the operating environment, and can also be used as an emergency distress beacon. Data is transmitted via micro-satellite communications, and there is also an independently powered recording device on board. Once integrated, the onboard global navigation satellite system (GNSS) chip is expected to operate once every few seconds or event and intervals of a minute unless it is actively transmitting as a beacon. One of the challenges of integrating the inertial measurement unit (IMU) and the GNSS chip is that the chip is power hungry and will drain batteries quickly. A potential problem with using microsatellite connected IoT devices as emergency beacons for soldiers is that the latency of low earth orbit satellites might cause a delay in response. The data captured by the fight recorder can be used to inform, design and performance soldier equipment and protective wear. A diagram of the Fight Recorder’s components is below. Diagram courtesy of Dr Alex Zelinski, Department of Defence This device also has the potential to be used to collect, log and transmit life signs such as heart rate and respiration. An operational concept diagram is shown below. Diagram courtesy of Dr Alex Zelinski, Department of Defence Recent developments in IoT low power electronic components, as well as long life battery technology, has made the deployment of these devices in real life defence environments more practical, as the battery could last for years without needing to be changed. Motion data can be downloaded at the end of the mission, but also progressively uploaded through micro-satellites currently in development. The analysis of motion data will be used in conjunction with computer models to develop accurate models of soldiers’ body movement. In turn, this will be used to develop event reconstruction algorithms for the Fight Recorder. An example of data analysis using other motion-detection devices is shown below. Diagram courtesy of Dr Alex Zelinski, Department of Defence Underwater applications Defence has used sonar array networks (using sonar buoys) for underwater IoT applications. They also make use of seabed sensor arrays deployed by organisations including the Australian Institute of Maritime Science and <spell out> NOAA in the US. In Australia, which has limited seabed arrays, there is also potential to use networked sensors mounted on unmanned underwater vehicles or vehicles on the surface of the water (unmanned boats) which could communicate among themselves or via microsatellite networks. The Internet of Military Things The Internet of Military Things concept uses sensors in remote, austere or degraded environments, internetworked through Low Earth Orbit (LEO) micro or nanosatellites. The aim is to provide persistent situational awareness of operational environments, for example, chemical threats; as well as the awareness of forces, for example, monitoring the health status of soldiers through Fight Recorders. This is illustrated in the diagram below. Diagram courtesy of Dr Alex Zelinski, Department of Defence The idea is to enable defence personnel to be able to rapidly deploy a network of sensors, including mobile sensors such as UAVs, which is uploaded to a cloud and shared with operators. A multinational defence trial was recently held in Adelaide to investigate the benefits of integrating wide-area aerial intelligence, surveillance and reconnaissance (ISR), ground sensors and target data to tactical operations in urban environments. Using an open systems architecture <link to open systems> for unattended sensors designed by the US military, the five nations participating in the trial (US, UK, Canada, NZ and Australia) were able to integrate technologies developed in each of their nations within a week for field testing. A second trial is planned in Canada and will integrate additional technologies including GPS-denied 3D mapping and an Internet of Military Things concept demonstrator. Collaboration with academia and industry Australian Defence is funding partnerships with IoT small to medium enterprises and universities through the Small Business Innovation Research for Defence (SBIRD) program which offers grants and collaborative research opportunities. This approach has been successful in stimulating innovation in Defence IoT and other technologies in the US. Challenges The diagram below highlights some of the potential challenges for IoT in defence. The left column highlights the main area of interest in using IoT solutions for systems of systems, the middle column the challenges, and the right-hand column the characteristics, capabilities, and features that defence needs to control. Diagram courtesy of Kerry Lunney, Thales For example, IoT can introduce additional vulnerability through factors including cybersecurity, security, resilience, privacy, and control. Defence employs solutions outside of the IoT sphere, and shares solutions with allies, so commonality and integration are important, as is data ownership. Environmental conditions can be harsh, including heat, dust, and water. Another challenge is adjusting to an expendable mentality with intentional obsolescence. Things move fast in IoT and defence is not used to continuous change. Solutions to these problems will require not only technical input but changes in non-technical areas such as strategic, contract and project management; standards; supply chain and acquisition; risk management and collaboration boundaries. Communications Communications present specific challenges for IoT in defence. Military operations in remote areas or at sea may not have access to terrestrial communications networks. They are addressing this problem by tapping into low power, low-cost microsatellite communications. Other concerns are that in a conflict, satellite communications might not be available and that communication can reveal the location of the defence operator, which could put them in danger. One solution to these challenges which has been deployed in Defence is using UAVs as ‘data mules’ that move between various locations to collect and deliver data as illustrated below. Diagram courtesy of Dr Alex Zelinski, Department of Defence A fleet of UAVs intelligently can arbitrate among themselves to determine which vehicle goes to each particular location to collect or deliver data. This approach has challenges, including controlling multiple UAVs from the ground, the limited time of UAV continuous operation (typically three to six hours). Another challenge is keeping fixed sensors in the air at around 20,000 km above the Earth’s surface. Balloons have been trialled but were blown out of position by the wind. Heavy sensors and equipment can also be a challenge in the air. To decrease their reliance on satellite communications, Defence is also looking, in the long term, at directed point-to-point communication systems which combine electronic warfare radar and communications through a single device. Security Another challenge is ensuring that defence IoT devices and communications networks are not accessed by hostile parties. IoT technologies in Defence are currently in the experimental phase. When operational, significant investment will be made in anti-tamper devices such as auto-erase when a device is attacked. Satellites, particularly large, expensive satellites, are also vulnerable to attack. To address this issue, the US military is considering a private Defence Low Earth Orbit (LEO) satellite constellation with persistent global coverage. Overcoming challenges Some areas to take into account when addressing challenges to IoT implementation in defence are: equivalency acquisition/development cycles problem definitions technology advancements digital twins risk profiles Equivalency could involve considering adoption solutions which have been built in accordance with international rather than Australian or military standards, as well as planning for short product life. If an IoT solution is trusted and proven in other settings, validation in a defence setting using a pilot program might be a better use of resources than revalidating the solution completely. Operational libraries can be built using a digital twin or ‘sister’ (similar but not quite identical system). Digital twins are worthwhile in the defence environment for setting up bases, logistics, and training. They can also replace the need for maintaining excessive system documentation. Importantly, changing a system to comply with military or Australian standards, or adding capability, means that it is no longer an off-the-shelf IoT solution. An alternative flexible solution is designing an additional transforming application that enhances the functionality of the existing solution. Recommendations for acquisition and development lifecycle considerations include looking into incremental, agile, lean and evolutionary lifecycles, as well as further use of digital twins. Virtual engineering approaches – which use virtual or augmented reality could also be an option; as could model-based engineering and a minimum viable product approach. It is a good idea to avoid defining contract milestones prior to agreeing on the lifecycle to be followed, and excessive documentation. Because risk profile will vary over time with a commercial IoT solution, it should be made adjustable and shared between stakeholders as much as possible. When defining the problem to be solved some of the approaches above could also be used in design as well as designing to specification, and designing to market. Designing to flexible capability or dedicated capability could also be used. The best approach is to take advantage of the best engineering approach to address challenges and avoid over-specifying, as especially with AI, robotics and autonomous systems they will not be deterministic, and predictions and set test programs will be difficult at the start of a project. There is also potential for automating some decision making in environments which it is difficult for humans to access or control, and evolving technologies such as blockchain can assist in addressing vulnerabilities in cybersecurity. Big data analytics can help users gain insights from the large amount of data available in defence applications. Because environments are becoming more unpredictable, a shift to less rigid technical governance, which avoids defining details for the unknown is a good approach. Instead, project managers and engineers should plan to contain disruptions if they occur, and implement learnings in the future. Similarly, risk profiles need to shift from assigning responsibilities at the start of programs and taking a penalty-based approach to becoming more flexible with shared responsibility in increasingly uncertain conditions. Sources The information on this page was primarily sourced from the following sources: Webinar titled ‘Defence Next Generation Technologies: Driving Innovation in Defence’ by Dr Alex Zelinsky AO, Chief Defence Scientist, Department of Defence. Webinar titled ‘IoT in Defence Part 2: Case Studies from Thales’ by Kerry Lunney, Country Engineering Director & Chief Engineer, Thales Australia Further reading "A Review on Internet of Things for Defense and Public Safety", 2016
  22. EvenChu

    Smart metering for water with the IoT

    Hi...as per my knowledge Water meters are installed at each of the inlets in an apartment, and the totalizers are placed as near as possible. Data from these smart meters is sent to the controller/totalizer, which is then sent to the cloud for further actions. Access to the cloud data via apps enables users to switch on/off the valve. For uninterrupted performance, the meters have a backup power source that can also be solar based. However, the cost of solar based batteries is still quite high and suppliers should keep track of OpEx of the projects to make them viable in the long run.
  23. Morteza Shahpari

    A whitepaper on NB-IoT

    Dear all, IEEE Communication Society just published a whitepaper from Anritsu about the NB-IoT. It is entitled "NB-IoT: Characteristics and Considerations for Design and Verification." It can be downloaded from here: https://event.on24.com/wcc/r/1787693/A92FD100BE9027E11FE04351AFF340DB I believe it might be of interest especially for those active on the communications sides of IoT. They don't have a strict sharing policy, so I attach the document here. Kind regards, nbiotwhitepaper1530112129543.pdf
  24. Julian Grodzicky

    Augmented reality (AR)

    A good, quick general overview of AR and it's applicability to data visualisation in IoT/IIoT. Further examples of AR authoring software (SDKs) that could have been mentioned: Unity 3D, Wikitude, Kudan, EasyAR, and especially opensource ARToolKit, which has been around for close? to 20 years. In the limitations of AR section, especially in industrial or field applications, a mention should be made of user immersion phenomena, and user immersion mitigation methods. Some further reading about SDKs: https://arvrjourney.com/best-ar-sdk-for-developing-ar-applications-560b8222f0fa
  25. Julian Grodzicky

    Augmented reality (AR)

    A good, quick general overview of AR and it's applicability to data visualisation in IoT/IIoT. Further examples of AR authoring software (SDKs) could have been mentioned: Unity 3D, Wikitude, Kudan, EasyAR, and especially opensource ARToolKit, which has been around for close? to 20 years. Further reading: https://arvrjourney.com/best-ar-sdk-for-developing-ar-applications-560b8222f0fa
  26. Andrew at MEA

    What does it take to be an IoT engineer?

    A ‘BeeTLE’ in the IoT Yippee! – no more USB cables to connect into our IoT devices to set them up! Our new measurement and data logging core – code-named the ‘BeeTLE’ during product development – uses a Blue Tooth Low Energy (BTLE) radio link instead. This is a non-trivial step forward in field measurements, because connectors are the weak-points in field enclosures. At 2.4GHz, enclosure walls are transparent to communications while remaining opaque to rain, sun, dust and wildlife. Similarly, the need for robust portable field computers has finally disappeared; mobile phones – already Bluetooth and 3G/4G enabled ­ – and custom apps pick up that load. For the past five months MEA’s product development focus has been on the development of the simplest possible and lowest-cost IoT device that could read our range of on-farm sensors. This BeeTLE core would be the fundamental logging platform from which future products would step off as we add LPWAN, CAT-M1, NB-IoT and satellite backhaul links. For the moment though, BeeTLEs need only human legs + smart phones + nimble fingers + modest intellect to go out there to fetch data. Data logging fills in the measurement gaps between visits, and the irrigator trades off his travel time against the convenience and higher capital cost of always-on IoT telemetry systems. There are no network Hubs or Gateways needed; the user has those in his pocket in the shape of his mobile phone. Telstra and their ilk provide the longer back-haul of data and send him the bill for those services. Green Brain – MEA’s existing database and farmer web app in the Cloud – provides all the long-term data storage. Once new data is uploaded from a BeeTLE through the mobile phone to Green Brain, graphical data all comes back down over the Internet to the same smart phone for data display. The devil is – of course – in the detail. What happens when the measurement site is out of 3G/4G coverage? (Answer: Unloading takes place normally between BeeTLE and phone, with data stored in the phone’s memory. Upload and data display happen automatically once the farmer returns within range of either Telstra or his home/office Wi-Fi system) Can multiple users – the farmer and his workers – unload the same BeeTLE? (Answer: Yes. Green Brain tracks and automatically synchronises phones and incoming data) And so on and so forth. Good software engineering ensures that the whole process is seamless and ultra-simple for the user, despite lots of clever stuff being needed behind the scenes to cope with all the edge cases. But what’s the really cool thing about Blue Tooth connectivity? The Beetle – now called a ‘GBLogger’ because its powered by Green Brain – needs no On-Off switch! If connectors are a pain, access to power switches elevates that enclosure vulnerability to a whole new level. But no switch is needed; the entire product runs on less than 25µA of current, allowing the GBLogger’s batteries to be loaded and sealed in at the factory with years of shelf life ahead. And Australian aircraft now allow ‘gate-to-gate’ usage of such low-power BT devices, so GBLoggers can be shipped by air while continuing to advertise their readiness to start logging at a moment’s notice. Figure 1 This simple MEA circuit board is at the heart of a battery-powered, Bluetooth-enabled smart-sensor and Green Brain-enabled data logger for the simplest possible MEA on-farm IoT platform
  27. The Internet of Things (IoT) market was worth USD 605.69 billion in 2014 owing to rising requirement for internet connectivity worldwide coupled with technological advancements. The emergence of start-ups in different industries to satisfy growing need of consumers is anticipated to result in increasing venture capital investments. The market is estimated to grow at 15.2 % to reach over USD 1.88 trillion by 2022. IoT market is projected to increase at a significant pace on account of its ability to improve efficiency and enable new services. IoT connects devices including industrial equipment and consumer electronics through a network that allows users to gather information and manage devices via software. Key factors that are expected to propel future growth include improving connectivity and internet access, data processing requirements and decreasing costs of internet enabled sensors. In addition, the market is likely to witness significant growth opportunities over the forecast period owing to increase in demand for gadgets such as wearable devices and futuristic elements including connected homes, vehicles, and cities coupled together with industrial internet of things (IIoT) To view summary of this report, click the link below: www.grandviewresearch.com/industry-analysis/iot-market The absence of universally accepted standards that give rise to security and privacy issues are expected to hamper growth in the industry. Moreover, the introduction of stringent rules and regulation in the U.S and Europe to tighten data security and privacy for internet users are anticipated to restrict further market growth. The global IoT market was dominated by device segment comprising of sensors and modules and contributed to over 30.0% of the overall market in 2014. The device segment is projected to witness significant growth opportunities through introduction of innovative IoT platforms as a substitute for competitor devices such as HomeKit by Apple Inc and Brillo by GoogeInc A significant revenue share in the IoT market is anticipated to be occupied by the consumer electronics application segment followed by manufacturing and retail. The introduction of new concepts such as connected cars in the transportation sector is expected to propel demand for IoT over the forecast period. In 2014, about 25.0% of the overall industry was acquired by this segment. Emerging economies such as Japan, India and China are expected to be the key drivers of IoT industry on account of manifestation of major component and technology manufacturers such as Huawei and Samsung coupled with the potential for the high-speed broadband internet. Asia Pacific is thereby projected to grow at a CAGR of approximately 16.0% over the next seven years. IoT is a dynamic market majorly fuelled by new product developments and enhancements in technology. Organizations are focussing on investing in IoT divisions, innovation labs, and R&D to obtain the first-mover advantage to expand globally and mark their presence. Key companies include major telecom and technology giants such as Alcatel-Lucent, Accenture PLC, Google Inc., Apple Inc., General Electric, IBM, Freescale Semiconductors, SAP SE and Samsung Electronics. About Grand View Research Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials, and healthcare. For more information: www.grandviewresearch.com
  28. Andrew at MEA

    What does it take to be an IoT engineer?

    The IoT and the Iron Triangle The Christmas break was over and – in mid-January of this year – we regrouped here at MEA to figure out what our next product offering would be. Across the table from the engineering team sat our management and marketing folk who – for some reason – were looking us rather sternly in the eye. “Now” – said our MD – “we don’t set product development time-lines to meet market-launch opportunities but we need new product to go on show at the Irrigation Australia International Conference-Exhibition in Sydney between the 13th-15th June 2018” And so, it all began again… As engineering director, my job is to look blithely unconcerned at these times and to prevent panic breaking out among the younger engineers. Five months, to go from a clean sheet of paper to working prototypes that will utilize new technology across all the diversity of skill sets that form MEA’s IoT product development team – electronics, PCB layout, firmware phone app and web app developers, mechanical engineering and industrial design, manufacturing, packaging and all the usual interplay with our marketing, sales, operations and service people. Not to mention our suppliers… As engineering director, I don’t get to do anything specific in the way of design work anymore, but I’m expected to be across every facet of this IoT ‘sprint’ to an immovable goal post. So, I make use of the ‘Iron Triangle of Product Development’. This rule-of-thumb states that you have to continually make decisions between Quality, Cost and Time-to-Market. But you only get to choose two out of three, because they are all in their way mutually exclusive. What the rule doesn’t say is that different segments of the project get different mixes of choice. Sometime I’ll choose Quality and Speed at some additional production Cost. At other times I need to sacrifice Quality to Time-to-Market and lower Cost. And so on and so forth, literally on a daily basis. So, on this past Tuesday (June 12th, 2018) our marketing team flew into Sydney from Adelaide and Queensland with the expected new product good to launch. True, we only finished firmware a week ago, the phone app half a week ago, and a brand-new version of Green Brain just two days before. And we had to pull a few swifties by 3D-printing new parts of the enclosures rather than the more time-consuming business of creating injection-moulding tools. We took the risky step of prototyping PCB and early-production run PCB assemblies in China for the first time, because local manufacturers are not well set up for rapid and inexpensive prototyping. And we kind of skimmed over the extended field trials, relying on 35 years of data logging and field experience to direct our in-house testing. So, we made it, thanks to a deep well of company experience and rapid prototyping techniques. No doubt next week we’ll be getting the stern eye once again, and we’ll limp once more to the starting blocks.
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