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  1. Last week
  2. Casino hacked via a thermometer in a lobby aquarium

  3. Casino hacked via a thermometer in a lobby aquarium

    LOL!! I have reposted this on the LinkedIn discussion group.
  4. Casino hacked via a thermometer in a lobby aquarium – what a nice story. Sad, there is no technical details in the article. http://www.businessinsider.de/hackers-stole-a-casinos-database-through-a-thermometer-in-the-lobby-fish-tank-2018-4?r=UK&IR=T
  5. Earlier
  6. Demystifying Energy Analytics

    Next Tuesday 17 April, Umesh Bhutoria from EnergyTech Ventures will be delivering a webinar titled The Data Indigestion Crisis: New approaches to Energy Analytics. The successful startup from India is in the process of establishing its business in Australia, participating in a bootcamp program being run by Energy Australia. He company has developed an Insights as a Service business around energy analytics. I had coffee with Umesh to go over what he will present and was interested to find he is primarily targeting brownfield installations. When I questioned this strategy, he pointed out that the vast majority of installed systems managing energy consumption are largely underutilized, operating as alarm systems rather than being used to optimise energy efficiency. Umesh pointed to a number of issues such as the difficulty of having multiple data sources and a skill gap in knowing what to do with the data even if they had it. The main problem he says, is that companies often don't know what the actually want from their systems. He related one case where he won a contract over a large multi-national vendor because he told the client he didn't want their business if they couldn't see the difference in his approach. This encouraged the client to go back and work out their real needs. In this webinar, Umesh will begin with an introduction to Energy Analytics, outline the different approaches and then look at a case study of of one of the worlds largest Terry Towel manufacturing sites.
  7. Water metering and remote sensing

    Title: Water metering and remote sensing: When one-way is the better way Presenter: Mark Halliwell, Business Development Manager, Taggle Systems Description: As engineers come to grips with specifying the most appropriate Internet of Things solutions, a key consideration is the choice of communication system – usually a low power wide area network (LPWAN). The uninformed may assume that two-way LPWAN systems are better than one-way communication. However, many engineering applications such as water metering, do not usually require control of the device or even any communication back to the device. Moreover, two-way communication introduces complications around security and power management that should be considered. This presentation explores the advantages of one-way sensing solutions and the refinements required to make them commercially and technically superior for certain applications. Taggle Systems’ one-way sensing solution is showcased. Taggle was founded by some of the same people who developed the first high-speed Wi-Fi chips, commercializing the development work completed at CSIRO. Their aim was to cover solution gaps that Wi-Fi couldn’t address. Taggle currently manages over 3 million water meter readings per day, making it one of the largest remote sensing operators in Australia and arguably the most successful IoT implementation to date About the presenters: Mark has 20 year's experience in business development roles with systems associated with SCADA, industrial automation, communications, environmental, AMR and other remote monitoring systems. He has previously worked for companies such as Advantech, Halytech and Schneider Electric. When: 12pm (NSW time) 1 May 2018. The presentation will last 30 minutes followed by 30 minutes question time. Where: The presentation by webinar Cost: This presentation is free to members of Engineers Australia (EA), the Australian Computer Society (ACS), the Institution of Engineering and Technology (IET) and IEEE. Just provide your membership number during registration for the event. The cost for non-members is $30. How to register: Please register on the Engineers Australia event system. Note, to register you need to have a free EA ID which you can get on the first screen of the registration page. Take note of your ID number for future events.
  8. The 2nd Annual All-of-Government NZ Digital Transformation is a premier conference bringing leaders from the Government together to identify opportunities to develop New Zealand’s digital capabilities for better public service delivery. The event will include insightful case studies as well as interactive panel sessions discussing a range of topics. This event was previously held in 2017, with over 100 Government leaders in attendance. Attend the two-day conference to hear how other Government organisations are managing their digital, technology, data and business transformations. Packed with exclusive presentations,interactive panel discussions and roundtable sessions. This conference will examine key strategies, plans and initiatives to deliver improved citizen-centric services The 3 key themes to be covered at the conference are: Digital transformation, digital service delivery & engagement: - Governments are modernising their systems and processes to keep up with drive in the innovation economy and deliver better services plus citizen engagement ICT transformation: Citizens are becoming more demanding in timely access to information and services - systems and processes need to be transformed in order to achieve this Data transformation: Government is seeking better citizen insight, to make more informed decisions for both policy and the delivery of digital services For more information on registration please send an email to waleed.ahmed@aventedge.com 2nd Annual All-of-Government NZ Digital Transformation Brochure-WA.pdf
  9. What does it take to be an IoT engineer?

    The IoT and some Ancient History It was the winter of 1988 and I was shivering with fright in a garage attached to a rented house wherein my wife and three preschool sons awaited whatever bread I could put on the table. I’d completed my work on the South Australian Wind Energy Survey (1984-1987); I’d been contracted to make wind and solar measurements at over thirty sites across the state, logging the data and analysing it on the first IBM PC computer blitzing along at 4.7 MHz. This marvel of cutting-edge technology had two 8-inch floppy drives but no hard drive, no telemetry and a bulky monochrome display. Mechanical printers were slow and noisy. Home-made data analysis software had to be written in BASIC. The Internet was a term and a technology yet to be dreamt of. Renewable energy In South Australia died as soon as the Government-sponsored Wind Survey was completed in 1987. It simply had no traction at all with our electrical authorities who – frankly – had no intention of taking that ‘hippy technology’ any further while there was still plenty of coal to be mined at Leigh Creek in the State’s far north. All those wind measurements gained me a Master’s Degree in Electronic Engineering, but I was now seriously out on my own, sitting at a battered wooden desk with a second-hand kerosene heater as the only source of warmth. Measurement Engineering Australia (MEA) was underway and I was now a pioneer in the brave new world of desktop computing, environmental sensors and data logging. [No grandiose visions of sales outside my home state led me to add ‘Australia’ onto the company name: I just didn’t want to spend the rest of my working life talking about ‘ME’] 1987: Renewable energy and the IoT arrive simultaneously in South Australia, although nobody knew it at the time. At about that time, a long skinny German PhD student set out from the warmth of a European summer to fly down to Australia to start his doctoral studies in agriculture in South Australia. Pretty soon he’d found his way to my lab and we set out together to measure the growth rate of oranges on the Loxton Research Station. ‘Plant-based measurements’ had arrived. Once all this remote measurement gear had been set up in the Loxton research orchard the data coming back showed a remarkable sensitivity to crop water stress. How could I reproduce these measurements in crops that didn’t have oranges hanging off them? So began a thirty-year odyssey to develop a sensor so sensitive that it would allow the plants to do the talking: not the soil, not the atmosphere – the plants! Along the way I studied both ancient and modern circuits, went back to the basics of my craft, studied endlessly through weekends, nights and annual leave and gained a PhD and a Dean’s Commendation. I gave lectures in Europe to scientific audiences, wrote papers for international journals, ran field trials of the sensor in Australian vineyards and analysed the results. I began to see a way forward. All this from the kitchen table, for although I now had a larger desk at MEA there was little time or budget available for such a long-term endeavour. I’d set out to create a ‘new-to-world’ sensor and wound up with a superb education in analog and digital electronics. Three decades have passed and I’m still not at product launch. But I do have a few secret weapons. Down the backyard is my home lab, put together through careful shopping on eBay for second-hand instruments. It is here – during more evenings, weekends and annual leave – that I gained ground that would have been impossible among the distractions of my daily rounds as MEA’s Engineering Director. Data logging and desk-top computing have transmogrified into the Internet of Things, and I’ve become an old dog who understands all that stuff. I’m surrounded by the finest technicians, engineers, marketing, management and operations people who cover off on those skills I don’t have. The business infrastructure is solid. I’ve had decades to learn about viticulture and horticulture at first hand. Plexus routinely carry soil moisture and climate data and deliver it to farmers via MEA’s Green Brain. Best of all, the Internet of Things now spoils me for choice, just as I find myself looking to launch this new crop water stress sensor. Should I choose satellite, Bluetooth, narrow-band or CAT-M1 cellular IoT technologies or the ultra-narrowband Sigfox network? Nothing frightens me anymore; I can put my hand to any combination of these technologies to deliver plant-based measurements to Green Brain and farmers. Wind and solar energy took off in South Australia big-time in the early 1990’s, driven by commercial interest and new players in the energy market. MEA was well-positioned to grow with that wave. We instrumented over three hundred wind monitoring systems across Australia, many of which now host massive wind farms. Likewise, with solar monitoring. Funds from my first outing as a pioneer were reinvested in the development of Plexus and Green Brain IoT technologies for agriculture. And that long skinny PhD student of long ago got over the academic line and returned to Germany as Doctor Braun, now Professor Braun. That small task he left me – to improve on methods of making plant-based measurements – has blown out to become the swan-song of a long engineering career. But at least the IoT is now here to allow me to connect it all up…
  10. Just what IS a smart city?

    I’ve always been a bit confused about what a smart city actually is. When you talk to people in the field, you normally get vague answers about how the Internet of Things is going to transform cities. The basic idea is to improve the efficiency and effectiveness in the way we manage our community assets and services. Using the Internet of Things (IoT) we collect more data and analyze it to make smarter operational and strategic decisions. When pressed for examples, smart city enthusiasts usually point to specific point solutions around parking, water meters, energy monitoring, garbage bins and the like. But individually none of these make an entire city smart, right? For a while, I thought that smart cities must have something to do with interconnecting this large variety of point solutions, to get synergistic benefits through the likes of big data analytics and machine learning. However, the engineer in me knows just how complex such an approach is. It’s a great aspiration, and I’m all for it, but we are a long, long way from that. So it was refreshing to talk to Thinxtra’s VP Ecosystems & Marketing Renald Gallis about their Smart Council Program which recently gained a $10 million boost in funding from the Clean Energy Finance Corporation to help roll out the Sigfox low power wide area network technology to councils across Australia. He confirmed for me that most smart cities are currently limited to point solutions. Thinxtra has partnered with a number of organisations to help them offer a variety of solutions for everything from manhole monitoring to prevent overflow, through to rodent infestation control. What I gained from that conversation is a realization that smart cities ARE about interconnectedness – but it’s more to do with people than technology. According to Renald, the key to smart cities and any other industry vertical, is the quality of the business relationships that sit behind the IoT solutions. When Thinxtra evaluates potential companies to bring their solutions into the Sigfox network, they look first to access the maturity of their thinking about IoT. It’s not enough to have a smart technology solution, it must also be at a price point that makes it viable and it must also be scalable. The company delivering the IoT solution must understand not just the technologies but the organisational systems required to sustain them in the field. It’s one thing to produce a few hundred devices. It’s another to produce tens of thousands devices and support them nationally or globally. Having confidence in the solution is a key part of what Renald calls "proof of value" which goes beyond a simple business case. He will be delivering a webinar on proof of value to this community on 3 April. Renald says there are a lot of “digital tourists” – individuals or companies that have an idea and dabble in the IoT space. However, they don’t really know what they want or fully understand the complex landscape of IoT solution providers. They ending up wasting a lot of time for everyone involved. So what makes a smart city is smart relationships between organisations that really “get” IoT. Smart relationships start with the quality of the organisations involved. Providers need to have all the backend processes to support the systems in the field. This will include partnering with reliable providers of connectivity, middleware and cloud systems. Because the ability to scale is important, the provider in the relationship should ideally be a big player in the market – nationally or globally. According to Gallis, start-ups need to be realistic about their ability to take market share and align themselves to the right global player as quickly as possible in the evolution of their product. Adopters of IoT solutions also need to have the right organisational systems in place to strategically address the way IoT will positively disrupt their business models and processes. Ideally, they will have an innovation department of some sort in place to both assess the technology and to shepherd solutions through to implementation. Smart relationships also relate to how city authorises encourage multiple point solutions to work together. Generally speaking the point solutions will be using the same kinds of technologies. Ideally, these technologies would be from the same providers, using the same platforms. However, in a competitive world, this is wishful thinking, especially for large cities. At this stage concepts like open data and an IoT friendly regulatory environment come into play and city authorities do need to play their role in facilitating smart relationship. So what IS a smart city? I’m thinking it is a vibrant ecosystem of technology providers and adopters across the city, working together to improve macro outcomes like livability, prosperity and sustainability. IoT sits at the heart of that, connecting technologies and organisations. It plays a role in brokering relationships between people from all fields and disciplines to work together in smart ways. As Marshall McLuhan said, “the medium is the message” and today IoT is the medium. --------- Dr Tim Kannegieter is the facilitator of Engineers Australia Applied IoT Engineering Community.
  11. http://myriota.com/myriota-closes-series-a-funding-round/
  12. IOT - BLE 5 Mesh scale Challenges

    Fascinating project. You're really at the bleeding edge of Bluetooth so it would be beneficial to work directly with some techs from the Bluetooth SIG - I'm sure they would be very interested in having your project be a case study. BT Mesh is only 6 months old or so, so there wont be too many people doing what you're doing. Sounds like you've considered most of the parameters. A couple more: It's going to get really noisy where device density is high. Consider a scheme that disables relaying for nodes that have a lot of neighbours - if you keep the relaying nodes down so you have just enough mesh paths, you'll avoid it turning into a shouting match where no one gets heard. All relaying nodes need to listen all the time - your relaying nodes wont last long on battery. Make sure you have a continuous power source available for them. The network can be segmented into "groups". But it's really just a logical layer - every node still participates in the mesh (see the dot point about limiting the number of relaying nodes), but some also take action if they're within the "group". There's probably not many BT Mesh projects of similar scale to refer to. You could consider widening your search to include Zigbee case studies - mesh has been run and done and cursed and succeeded with Zigbee for a lot longer. Generally the need to continuously power the relaying nodes kills most use cases for mesh, but there'll be some exceptions out there. Otherwise you'd really benefit from seeking out some Bluetooth experts, rather than general IoT experts. Start with the SIG and see who you can find from there.
  13. IOT - BLE 5 Mesh scale Challenges

    What about using LPWAN technology such as Sigfox? You don't need to create a mesh network anymore (expensive to do, always some gateways that needs to be fixed, and pairing configuration & issues). With Sigfox, assume the network is already here (you can check current coverage at thinxtra.com/coverage), the device connects directly (no pairing) via Sigfox to your cloud. Happy to discuss further at renald.gallis@thinxtra.com
  14. I'm working with a customer on an IOT device that utilize a mesh network for: inter-device communications, configuration and reporting. We're at the network design stage and can foresee some challenges ahead and wanted to know if anyone has solved the network scale challenges and how. Functional Requirements No gateway for basic installation Devices will be enrolled with a thrid party device (eg phone, tablet, computer) IoT device senses multiple environmental variables and performs a switching function IoT device can act as a group/zone (when configured) ie one device triggers a behavior in the group (needs to be reliable). IoT device records data and can be retrieved later for analysis. IoT device has a schedule for behavior Non functional requirements: Up to 8 meters between devices Typical install size 100 IoT devices Max install size 1000 IoT devices Firmware up to 2MB Challenges that we're foreseeing: Size of the mesh - up to 1000 devices Modelling show that with BLE 5 we can go quite high but perhaps not 1000. Priority messages (eg acting as a zone) get exponentially slower with the size of the network. We've not been able to find practical examples of a scale of 400+ devices Is there a way to segment/separate the network. Performance of the mesh Getting a message from one edge to another will be slow. The performance impact of getting an ACK from the far edge of the network will be high. Prioritizing network traffic for certain events Keeping clocks in sync - I would have thought this would be built into BLE 5 and was surprised it's not. Is CheepSync the solution or is there another? I was wondering if anyone has some case studies they can share or know if anyone who has tackled some of the above problems and understands the limits of the network. Presumably something like wirepass would solve the problem if it ran on BLE 5.
  15. Learning on the Edge

    The internet of things (IoT) is complex. Examined at an industry or national level, there are a huge number of variables and players, that it’s hard to even visualise how all the components will ever work together to realise the potential. However, we all have a vested interest in ensuring the IoT industry blossoms to reach its full potential. In the IoT Engineering Community, we have previously spoken about the technical skills required to develop the IoT engineering workplace. A key point identified is that it practically impossible for anyone one individual to become expert in all areas relating to IoT. A rule of thumb is that it take 10 years to become truly expert in a field. Well, IoT has dozens of discreet fields of equal complexity. To complicate matters further, the engineering of an IoT system is just one part of the picture. In a webinar on Tuesday 20 March titled Flattening the IoT Learning Curve, Frank Zeichner sets out the broader context of IoT learning. Learning at multiple levels, from individuals through companies to government. It’s all interconnected and none of these levels will get the full benefits without the other. He argues that the most valuable learning is that which comes at the edges of three broad domains relating to engineering, business and industry domains. Its only when an engineer truly understands the business imperative or vice versa for the C-suite, that we begin to develop skills that will truly make a difference. Similarly, both the business and engineering skill must be applied in a way that will work for that particular industry. The application of IoT is different in a variety of industries and while the technology may be the same, unless you understand all those complex variables in context of application your project will be on risky ground. However, the potential is there. The Food Agility CRC, which Frank discusses in his presentation, is aiming to shift the food sector from a $46 billion to a $100 billion industry by exploiting the potential of digital transformation, primarily though IoT. The IoT Alliance Australia, of which Zeichner is the CEO, has an Education and Skills Workgroup which is creating an education Framework to “provide a methodology for scoping, developing, and tracking the type of education engagement required to expand the IoT knowledge, skills and capability development delivered by education providers and professional bodies that intersect the IoT marketplace”. Learning needs to take place at the individual, organisational, industry and national levels. Unless we get practical progress in learning how to successfully exploit the potential of IoT at all these levels, we run the risk of a major lost opportunity as other nations aggressively push a coordinated agenda.
  16. New IoT Devices Made in Ukraine

    Thank you, you were right very interesting information. I was surprised by most ideas ( Luciding in the first place, of course, i need it ). I am happy that IT industry in Ukraine developing so fast, statistics here. So who knows what the future holds? Hope we will see more (useful and funny) devices.
  17. Building Industry Applications

    There are a number of areas that IoT will be applied in the building industry: Things in Buildings: Virtually every component of a building can be sensored to deliver superior performance benefits. For example, see our case study on lighting control. Systems in Buildings: The way all the different things in buildings are connected will change as well. Primarily this is in relation to new forms of building management systems. However, depending on the building sector any number of enterprise systems will be disrupted by IoT. For example tracking of critical assets within buildings will change dramatically. Essentially, whatever the problem is Construction and maintenance of buildings: Again tracking of building components during the procurement and construction phase will bring productivity benefits to the construction process. Workers' clothing and equipment can also be instrumented and connected. For example, helmets may include visors with augmented reality to assist workers in assembling and maintaining equipment. It can even be used to monitor the movement of adjacent buildings during construction. See our micro case studies for more examples.
  18. Building Management Systems

    Introduction The concept of IoT Building Management Systems (BMS) as a service is poised to change the building industry. As the price of internet connected sensors comes down, a large number of sensors can be placed in a building to provide multiple data points connected to advanced cloud based analytical systems. This delivers superior BMS performance to traditional engineering approaches. Building owners own their data, while allowing service providers to help them optimise the efficiency and sustainability of their facilities. This approach also facilitates auditing of the actual performance of building management systems during the critical Defects Liability Period. Traditional vs IoT BMS The purpose of BMS is to achieve sustainable buildings and cities. They should increase efficiency, resilience, security and productivity, as well as reducing environmental impact. They may also incorporate intelligence (as in smart cities) and have the capacity to detect and fix damage. Traditional BMS were pioneered several decades ago. They started the process of automated control and data collection. A diagram of a traditional BMS is shown below. Diagram courtesy of Bob Sharon, Blue IoT Traditional BMS were often proprietary systems. They were expensive to purchase, and modifications to data extraction rules or reporting functions (“steering wheel options”) were also costly. This meant that many BMS owners did not use their systems to their full potential. Other challenges included the long lead times to make changes to the system, the high cost of the cabling to connect extra sensors, specialist programming services required (also costly), and limited alarm complexity without blowing out the budget. Data extraction and report customisation was typically complex and expensive, as was integrating additional data sets from additional systems or devices. And in many cases, the BMS vendor owned the data. A diagram of an IoT BMS is shown below. Diagram courtesy of Bob Sharon, Blue IoT IoT BMS solved many of the issues of traditional BMS systems through open system architectures, wireless technology instead of cabling, increased agility and integration, and reduced operation, modification and maintenance costs. A general comparison between traditional and IoT BMS is shown in the table below. One comment is that some tradition BMS are also starting to become more open. Diagram courtesy of Bob Sharon, Blue IoT Democratisation of data is another advantage IoT BMS have over traditional systems. Open source platforms where the client owns the data allow system modifications to be easily made, and the client to change vendors to meet their service requirements. This trend is set to increase in BMS and other IoT applications. The transition of BMS from traditional to IoT systems is still progressing. So for mission critical applications it may be advisable to use an open source traditional BMS with two-way communications and control form the cloud, with the option to shift to complete cloud operation as the technology matures. Architecture considerations for IoT BMS Considerations when choosing the data aggregation and IoT architecture for an IoT BMS include: Which protocols should connect the sensors and IoT platform? What form of communications technology best suits the application (eg Zigbee, wifi 802.x, Sigfox, Bluetooth low energy (BLE) and LoRaWAN? How will your application engage with the cloud? Who will own the application data (vendor, building owner, users of devices)? Is an open or closed architecture most suitable? It is also recommended that a highly resilient (tier 3 or tier 4) data centre is used for BMS to ensure that data management meets requirements. Sensors and Predictive maintenance One of the problems with traditional BMS is the cost of adding additional sensors, which means that the minimum number is used. With IoT BMS, this cost is greatly reduced, which opens up opportunities for a wide range of data collection to be integrated. It is important to pay attention to data calibration and validation, to ensure that high quality, accurate data is collected. A diagram of some of the sensors which could be used in an IoT BMS is shown below. Diagram courtesy of Bob Sharon, Blue IoT Self-healing and predictive maintenance In particular accelerometers, vibration transmitters and switches can be used to monitor critical rotating machines, and perform predictive maintenance. For example, accelerometers can be used to measure vibration and measure the harmonics of motors. Through monitoring, faults can be fixed before they fail. Advanced machine learning tools will be invaluable for implementing self-healing machines that can dramatically reduce maintenance costs and risks of outages and out of hours maintenance. These cost reductions can offset the cost of installing an IoT BMS. Data analytics There are various data analytics platforms that can take data from thousands of sensors in disparate building management systems (over thousands of buildings if necessary) and create effective interactive analytics and visualisations for end users. This data can be interpreted by engineers and other experts to solve issues that are detected. Security Security of IoT BMS is crucial to ensure that hackers do not take control of the BMS or use it as a pathway to corporate networks, both of which can cause significant damage. A robust, holistic security architecture should be chosen, which implements security at every level including choice and security measures and levels for all of the following components of the BMS: sensor hardware communications protocol cloud IoT platform gateways cloud data centre Other considerations are whether encryption is used, if AI is used to check for unwanted signatures, whether a mesh network being used for sensor communication (can introduce additional risks), which geographic locations the data is going to before it reaches the data centre (and associated risks vs timely transmission of data). While risks cannot be entirely eliminated, they can be greatly reduced with careful security planning and design. An example of how BMS security can be implemented using LoRaWAN is shown below. Diagram courtesy of Bob Sharon, Blue IoT LoRaWAN has the advantage of being able to be encrypted, and the sensors are isolated. The data goes from the sensor directly to the gateway. From the gateway, it goes out over either 3G or 4G, or to another LoRaWAN base station, depending on the system design. This lowers the risk of hacking and additional AI layers can be added for further security. Two-way communication may also be available depending on the class of LoRaWAN used. This example is suitable for low bandwidth data. Sources: The content on this page has been primarily sourced from: Webinar titled “The death of Building Management Systems as we know them” by Bob Sharon, Chief Innovation Officer, Blue IoT See also the article of the same title in our discussion forum with some comments.
  19. Energy Analytics

    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Functions > Energy Management. Others can purchase the recording on EABooks. 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: The Data Indigestion Crisis: New approaches to Energy Analytics Presenter: Umesh Bhutoria, Founder and CEO, Energytech Ventures Description: With billions of new sensors from the Internet of Things flooding organisations with data, coupled with cheap cloud storage and processing capacity, we are rapidly heading toward a data ingestion crisis. If organisations are to take advantage of the benefits of IoT, there needs to be a step change in the ability of engineers to take advantage of advanced analytics. However, there remains a lack of skilled resources and a bewildering variety of options in the solution stack (hardware + software + platform). In the energy analytics area, companies globally are expected to spend up to $4 billion annually in the manufacturing and utility sectors alone. However, they are also expected to only reap 30% of the potential value from their investments, due to poor identification and leveraging of actionable insights. As a result, it is expected that analytics as service will grow rapidly along with a range of business model innovations but organisations still need to understand what services they are procuring. This webinar aims to help prepare organisations to invest in data analytics by setting out the basics of the field and then addressing the massive changes taking place due to the Internet of Things. It will show how to get started, how to deal with vendors and how to bring people in your organisation along with you. The presentation will also include a number of energy analytics case studies, including from the textile industry in Asia. About the presenters: Umesh has over ten years’ experience in energy efficiency having worked with clients like the World Bank Group, IFC, Sweden Textile Water Initiative, Tat Motors, TERI, NALCO, Aditya Birla Group, SIDBI, Mardec, and Welspun across India, Bangladesh and Malaysia. He was the Energy Manager of the Year in 2013 for Energy Engineers India and was recognized for pathbreaking work in Energy Analytics in 2017 by AEE Western India Chapter. When: 12pm (NSW time) 17 April 2018. The presentation will last 30 minutes followed by 30 minutes question time. Where: The presentation by webinar Cost: This presentation is free to members of Engineers Australia (EA), the Australian Computer Society (ACS), the Institution of Engineering and Technology (IET) and IEEE. Just provide your membership number during registration for the event. The cost for non-members is $30. How to register: Please register on the Engineers Australia event system. Note, to register you need to have a free EA ID which you can get on the first screen of the registration page. Take note of your ID number for future events.
  20. Satellites vs LPWAN

    Title: Space Wars: Satellites versus LPWAN Presenters: Warwick Gillespie, Research Engineer, Sense-T, University of Tasmania and Simon Edwards, Research Engineer, Sense-T, University of Tasmania Description: As satellite options for delivering backhaul communication services for Internet of Things systems begin to roll out, engineers in numerous fields will need to choose between the space-based systems or the new generations of terrestrial based Low Power Wide Area Networks. Engineers usually rely on the specifications provided by vendors when designing the best technical solutions. However, what happens in the field can be a very different matter. Sense-T, at the University of Tasmania, has been conducting live trials with some of the very first nanosatellites to come online against LoRaWAN, one of the leaders in the LPWAN space. Set in an agricultural setting, the aim of the project is to determine real world information on key factors like power consumption of IoT devices and the range of the terrestrial systems. Factors such as weather conditions and topography will be assessed, delivering valuable insights not just to agricultural engineers, but any one working with systems in remote locations, mobile systems or global distribution chains. The webinar is scheduled to be delivered as soon as the results have been analysed, given EA members cutting edge insights in this new frontier of IoT. About the presenters: Warwick has been a Research Engineer in the Sense-T team at the University if Tasmania since 2015. Prior to this he spent five years at Myriax, a Hobart based Software Company, as Technical Support and Product Manager on the Eonfusion software project, a multi-dimensional GIS package for analysis and visualisation of time-varying geospatial data. He has also lectured in Engineering at the University of Tasmania. Warwick has a Bachelor of Engineering (Computer Systems) with First Class Honours and a PhD, both at UTAS. His PhD research focused on content-based video indexing and retrieval, developing video processing techniques to define feature metrics, and investigating machine learning algorithms to perform classification and indexing. Simon has been a Research Engineer in the Sense-T team at the University if Tasmania since 2016. He has worked with technology companies since 1990 and has gained a wealth of experience in research and development. He has a Bachelor of Engineering (Electronics, Hons) and areas of research have included embedded systems, refrigeration technologies, X-band radar, precision temperature control systems, and neural networks. Simon has over 15 years’ experience in IT and commercialization and founded a successful start-up in 2000, developing bespoke networked applications/software products. He also has extensive experience architecting applications streamline compliance and business processes in various industries. When: 12pm (NSW, Australia time) 15 May 2018. The presentation will last 30 minutes followed by 30 minutes question time. Where: The presentation by webinar Cost: This presentation is free to members of Engineers Australia (EA), the Australian Computer Society (ACS), the Institution of Engineering and Technology (IET) and IEEE. Just provide your membership number during registration for the event. The cost for non-members is $30. How to register: Please register on the Engineers Australia event system by clicking the register button above.
  21. Hi Heath I'd be happy to give a talk about on-farm IoT if that would interest your group. July would suit me. Best regards Andrew at MEA
  22. What does it take to be an IoT engineer?

    A Litmus Test for the IoT Thanks for your kind words, Tim The modern conundrum is that there are two audiences in this IoT hype cycle; those seeking funds who are targeting investors, and those building real systems targeting farmers with gear that must work and be supported on-farm for at least a decade. It’s taken me a long time to figure out a way to differentiate between the two. The former is characterized by new players who see agriculture as a ripe field for new IoT products. These folks seem to be acting under the old British legal mechanism known as ‘Terra Nullius’ which sees Australian agriculture as ‘an empty land’ available for plunder. The fact that there is a rich history of trial and error, success and failure by long-standing companies in this arena is simply brushed aside, or goes unrecognized as an inconvenient truth. This is possible because both startups and investors are equally ignorant of the deep ground truths that make agriculture such a difficult place to make a living. The second class of citizen are those who have been in the game for a long period and know just how hard this business is. It’s not simply that equipment is beaten up by Acts of God, Mother Nature, animals, lightning and rogue humans on farm machinery, but that farmers are both a practical and sceptical bunch; they have been parasitised by every salesperson on the planet. Farmers don’t read web sites then buy the glitz; they find out from fellow farmers which suppliers are cutting the mustard in looking after them in the long haul and offering value. They have sheds full of stuff that didn’t work! You can recognize the real players by their bruises and their reluctance to skite about how terrific they are. They know where the bodies lie. Any success is hard-won. In short, nobody gets credence with me in the game unless they’ve been through a long period of on-farm humiliation. This takes years of tenacious effort, toe-to-toe with farmers and their agents, making stuff work and fixing what doesn’t. Your case study telling of Taggle’s reasons for getting out of the agriculture market pretty much makes my point. So, hoping 2018 is a good year for you too, Tim. You and Geoff Sizer have done much for Australia's engineering community by the creation of this forum.
  23. What does it take to be an IoT engineer?

    Great to hear this update and cant wait to hear about your four new IoT solutions. Yes, agriculture does seem to be a sector that does seem to be targetted by a disproportionate number of IoT ventures, not just start ups but the big global players going into partnerships with governments, universities and the like. Interestingly, I was interviewing Taggle this week in preparation for an upcoming webinar from them and I discovered they started life by targeting tags for cattle. However, they exited that area early because they found that farmers were a hard bunch to get money out of! They pivoted to water meters and now dominate the IoT space for that sector. All the best for 2018 Andrew! Tim
  24. What does it take to be an IoT engineer?

    Old Dogs and the IoT It’s been a year of the utmost tedium: MEA versus Mother Nature in the ‘Valley of Death’. Done and dusted. Our Green Brain now holds ¾ billion climate and soil moisture records and this grows at about a dozen new records every second. Plexus ‘ZigBee’ + 3G telemetry delivers IoT data from over 4000 sites. Farmers can access their data at any time, from anywhere. The MEA production line and service department are likewise approaching calm and stability. We’ve got the bugs out of many things. But from every angle I’m still being told that “the true role of an IoT startup is to EXIT!” Under this modern business model, my job would be to carry the cash to the bank and to let the new buyer pick up all the loose ends of first IoT product release. It would be up to the new company to go through the hard slog of creating real value, brand loyalty, jobs and channels to market and service. ‘Old school’ – on the other hand – strives for the paradox of product stability and a sustainable business. You can’t be sustainable if you don’t obsolete your stable old products and battle through the Valley of Death after product launch to stabilise the new ones. Since MEA first launched modern on-farm IoT product in 2013 there has been an explosion of technology, hype and competition. Therefore, the race continues: we’ve learnt that no single IoT solution fits all farms. Once again, we are creating a new startup within an old company. On the drawing board are not one – but four – modern IoT technologies that will spring forth to plug the gaps in our product spectrum and our competitors’ muzzles. And what can I conclude from all this? Simply that general-purpose ‘measurement engineering’ – a discipline I invented for myself 34 years ago to describe what I did for a living – is a pretty good fit to the modern IoT.
  25. Asset Tracking with Blue IoT

    IoT asset tracking company Leash It developed a RTLS solution for use in multi-storey buildings to pinpoint the exact location of an asset on a floor plan. The solution used BLE low energy Bluetooth, Wi-Fi, multiple gateways and software to constantly map the location of assets within the infrastructure. The solution also provided the option of adding sensors for heat and humidity, as well as an accelerometer. To implement the solution, a floor plan must first be uploaded to locate assets within the building. Then gateways need to be placed in the floorplan and installed in corresponding positions in the physical building. Thirdly, assets need to be uploaded to the registry and the unique code of the asset tag allocated to each asset, then the asset register should be exported to the asset management system. Once this is done, permissions and notifications are allocated to staff, and the gateways activated to start tracking assets and collecting movement data. Notifications can be sent via SMS, and are sent according to rules set during system installation. For example, if a piece of equipment is removed from its allocated area, or a (tracked) staff member enters an area for which he or she has not completed the required OH&S induction. Depending on permissions, staff can search the floorplan for particular equipment, or click on gateways to see which assets are located nearby. Data is also uploaded to an analytical engine which can break down asset utilisation and productivity, including how long an asset has been in a particular place, and all the places it has occupied within the building. The solution allows location within floors, and also identifies what level floor assets are on by using reference point architecture with gateways in every office and open area of every floor. The gateways are able to determine distance from asset by signal strength, and the concrete between floors stops the Bluetooth beacon being transmitted between storeys. It is accurate to within a metre. The battery life of the tags typically used for assets is around three to five years, although smaller Bluetooth tags (eg. For laptops) can last one year. The solution can be retrofitted to existing infrastructure as the gateways connect to local wi-fi and detect Bluetooth tagged assets. It can also be used in wider areas such as outdoor mine sites as it implements a number of gateways with ranges from 15 to 120 m. Leash It has established a free asset tracking network called the Community of Things (CoT).This can be used to track commercial assets that are reported as lost or stolen through a consumer asset tracking App on consumer’s phones, forming a mesh network that can detect the reported assets and send a GPS location to the owner.
  26. Flattening the IoT learning curve

    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Overview > Introduction to IoT. Others can purchase the recording on EABooks. You can also view a list of all recordings. Title: Flattening the IoT learning curve Presenter: Frank Zeichner, Industry Associate Professor, Schools of Systems, Management and Leadership, University of Technology Sydney Description: The learning curve around the Internet of Things can be very steep and it is almost impossible to learn all of the technologies involved to any great depth, yet IoT should be on the career path of every engineer because it is expected to impact every industry and discipline. However, engineering professionals that can climb this learning hill and become an IoT specialist in their industry sector are likely to be in great demand. With the growing maturity of IoT, universities, association and vendors alike are all scrambling to find the best ways to flatten the IoT learning curve to produce more engineers able to work in this burgeoning industry. Frank Zeichner is in a unique position to offer advice, having authored a major report on the uptake of IoT by industry, as CEO of the IoT Alliance Australia (ioTAA) and now developing courses at UTS. In this presentation, Frank will describe the options for learning about IoT and getting involved with the technology. He discusses how individuals, companies and entire industries can develop practical pathways of learning by chosing the right mix of formal, informal and experimental options. He provides examples of what some organisations are doing in the space, including Tulip (Technology for Urban Liveability Project) and the latest achievements of the IoT Alliance. About the presenter: Frank is CEO of the IoT Alliance Australia, the peak IoT industry body, Industry Associate Professor, Schools of Systems, Management and Leadership, University of Technology Sydney (UTS) and Director of the Knowledge Economy Institute at UTS an Industry/Research hub for IoT and Cities. In addition, Frank is also a board member of Telsoc. When: NOTE change of Time 2pm (NSW time) 20 March 2018. The presentation will last 30 minutes followed by 30 minutes question time. Where: The presentation by webinar Cost: This presentation is free to members of Engineers Australia (EA), the Australian Computer Society (ACS), the Institution of Engineering and Technology (IET) and IEEE. Just provide your membership number during registration for the event. The cost for non-members is $30. How to register: Please register on the Engineers Australia event system. Note, to register you need to have a free EA ID which you can get on the first screen of the registration page. Take note of your ID number for future events.
  27. Proof of Value

    Recording: This webinar has now passed. Members of Engineers Australia can view the recording for free on MyPortal. Logon and navigate to Practices > Business Planning & Innovation. Others can purchase the recording on EABooks. You can also view a list of all recordings. Title: The Tinder of IoT: Proof of Value Presenter: Renald Gallis, BP Ecosystem & Marketing Description: Building proof of value is the final frontier in what some call the wild west of The Internet of Things (IoT). The technology of the IoT is well established now and engineers can connect any system together to work functionally. However, many IoT pilot projects fail to make it through to mainstream adoption. In this presentation, Renald Gallis discusses how to develop “proof of value” to help take your idea from concept to commercial success. Proof of value starts with the design process and building the business case, but has a much stronger focus on how to scale up design concepts into large scale industrial settings. Organisations looking to innovate their businesses, need to develop the maturity of their approach to IoT by understanding the technology, the options and compromises. Above all they need to foster strong relationships with large players to ensure the longevity of any solutions. As a network operator, Thinxtra often find itself match-making business relationships between the many and disparate organisations the IoT space, a process it calls the Tinder of IoT – and the key to making these relationships work is to build a robust proof of value that works for all partners in the project. About the presenter: Renald Gallis has 25 years of senior management experience in different continents, leading teams from diverse departments and multi-cultural backgrounds. Over the past four years he has focused IoT/M2M markets including smart cities, smart industry and smart agriculture, including helping Thinxtra become a network operator building nationwide Internet of Things in Australia and New Zealand using Sigfox technology. When: 12pm (NSW time) 3 April 2018. The presentation will last 30 minutes followed by 30 minutes question time. Where: The presentation by webinar Cost: This presentation is free to members of Engineers Australia (EA), the Australian Computer Society (ACS), the Institution of Engineering and Technology (IET) and IEEE. Just provide your membership number during registration for the event. The cost for non-members is $30. How to register: Please register on the Engineers Australia event system linked above. Note, to register you need to have a free EA ID which you can get on the first screen of the registration page. Take note of your ID number for future events.
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