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Nadine Cranenburgh

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  1. 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 ar
  2. 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 e
  3. 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 communicatio
  4. Description: Taggle currently manages over three 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. While the company is still heavily focused on the water industry, it is now beginning to look at adjacent markets including agriculture and environmental monitoring. This case study describes the development of Taggle’s one-way water metering and remote sensing solution using LPWAN. Source: Based on a webinar delivered on 1 May 2018 to the Applied IOT Engineering Community
  5. Introduction Energy analytics is a specific application of IoT data analytics which can be used for several purposes including energy management, predictive maintenance, usage forecasts, anomaly detection and automated reporting. To perform effective data analytics using IoT, a good first step is integrating all sources of energy data to a central location for analysis. It is worth noting that the difference between energy monitoring and analytics is that monitoring only allows users to view data in a particular format, while analytics provides insights to the user through alert
  6. 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
  7. Introduction Replacing prisons with high tech systems capable of detaining prisoners in their own homes and the use of artificial intelligence to predict and prevent imminent offenses may sound the stuff of science fiction, but rapid advances in technology surrounding IoT makes such a vision a possibility worth discussing. A system that effectively turns prisoners into internet nodes using IoT wearables with the ability to deliver electric shocks would have significant social impact. These ramifications need to be taken into account along with engineering design and legal considerati
  8. Introduction Management of an IoT project is likely to pose challenges for those used to stand-alone product development, as it combines detailed product and technology development and application with systems engineering. While recognising and overcoming technical risks is necessary for all projects, it can be particularly critical for project management of IoT applications because of the complexity of the technology used, which may include a broad range of technologies involving several layers of the IoT architecture. This can lead to project teams needing to seek assistance from s
  9. Introduction Smart metering using IoT has the potential to increase efficient use of utilities and identify and resolve issues in supply infrastructure in the utility industry. One definition of smart metering is the collection of metering data on utility (electricity, water, gas) use, and the systems and processes that derive value from the data. It also enables two-way communications from the meter to utility providers and users, and involves intelligence and processing within the meter that differentiates it from simple automated meter-reading systems that send a reading at specified i
  10. Introduction Traditional satellite solutions for providing a communications backhaul are obviously applicable for applications involving remote sensors, Defence, tracking across wide geographic areas including oceans, as well as developing solutions for global supply chains. In remote areas, terrestrial communication technology connectivity for IoT devices can be largely absent or very expensive. Existing data communication satellites (eg. Iridium and Globalstar) are a solution, but can be expensive, limiting the number of sensors that can be deployed to relay data, and how often dat
  11. Introduction IoT collects the information from physical assets (Things) in the real world, while augmented reality (AR) takes digital information and displays it in the real world. By combining IoT with AR, it is possible to create an immersive ‘in-context’ visualisation that aids understanding of products and Things, as shown in the diagram below. Diagram courtesy of Allan Thompson, LEAP Australia The earliest examples of AR included heads-up displays in military aircraft in the early 1960s, and later civilian aircraft. A recent popular example of location-based AR
  12. Description: The Internet of Things is creating a whole new digital agenda for oil and gas. This case study details how DiUS helped Environmental Monitoring Solutions use the cloud and IoT to tackle the global petroleum industry problem of petrol station inefficiencies and make a positive environmental impact. Source: Based on a webinar delivered on 1 August 2017 to the Applied IOT Engineering Community of Engineers Australia by Zoran Angelovski, DiUS Principal Consultant and Russell Dupuy, Managing Director of Environmental Monitoring Solutions Biographies: Zoran Angelovski has
  13. Introduction IoT applications discover and store huge volumes of data from multiple sources, and process it using various forms of data analytics. The results of this analysis need to be presented in a way that is useful to end users and aid in their decision making. Presenting data in visual forms, such as charts and graphs, enables users to understand what is happening at a glance and conceptualise what further investigations are required to understand a complex phenomenon (such as building vibrations). Interactive analytics are a set of tools that allow data analysts to investigat
  14. Introduction Data for IoT applications often comes from many heterogenous sources, which may not be easily brought together for analysis. Data integration is one approach that is used in IoT solutions to allow disparate data to be used to provide useful decision-making support. It is a tool that is often used in data warehousing. Data integration makes use of Extract, Transform, Load (ETL) tools. There are also other new tools including Enterprise Feedback Management (EFM). These are the tools that are utilised to bring the data from one point to the other. ETL vendors are listed in
  15. Introduction A major challenge In processing the volume of data required for IoT solutions is sourcing sufficient computing power to perform before-aggregation computations. When this needs to be carried out record by record, many traditional data environments, which use disk storage to store data, are not sufficiently powerful to complete the task, or may take days to deliver results. An in-memory database (IMDB) is a database management system that primarily relies on main memory (RAM) for computer data storage. It can be thousands of times faster than a disk storage database and i
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