INDUSTRY 4.0/IIoT DEPLOYING & MANAGING IIOT SOLUTIONS


range of -55 °C to +155 °C, both from Analog Devices, along with a magnetic field sensor and a high-performance MEMS (Micro- Electro-Mechanical-Systems) microphone. iCOMOX is based on Analog Devices'


ADuCM4050 application processor and deploys the company’s LTC5800-IPM wireless transceiver, incorporating high-performance sensing, and embedded software and analyses to ensure early fault detection. The collaboration of Arrow and Shiratech


The latest cloud analytics software and retrofit hardware is making digitalisation more straightforward says Stephen Brandt, key account manager, Arrow Electronics


D


igitalisation is having a transformative effect on the manufacturing sector. The combination of technologies such


as sensors, robotics and wireless connectivity are coming together to create smarter production environments. In these advanced facilities, engineers have real-time data at their fingertips, enabling them to make genuinely informed decisions over a host of factors right across the shop floor. The area of maintenance is perhaps the


single biggest beneficiary of this new connected way of doing things. Here, the Industrial Internet of Things (IIoT) is applied through miniature sensors attached to a broad range of production equipment, measuring a range of parameters such as vibration, temperature, and rotational speed. This data can be streamed quickly and


safely to the cloud, where analytics spot performance trends and anomalies, taking the guesswork out of maintenance. Artificial intelligence could then be applied


to compare real-time data with historical patterns and make automated decisions to further streamline predictive maintenance within the plant. That is the theory, anyhow. But the


deployment and management of IIoT architecture depend upon the selection of some key underpinning technologies to bring it to life. This includes establishing powerful cloud-based analytics to provide the brainpower for monitoring and control. Digital infrastructure also needs to be supported by physical assets such as sensors, which can be quickly and efficiently retrofitted to existing equipment. So, let us look in more detail at how IIoT


infrastructure can be deployed to implement condition-based monitoring of machines. Companies are often wary of embracing this


10 MAY 2021 | PROCESS & CONTROL


type of technology due to concerns over security, complexity, and cost. However, Arrow has allayed those fears by developing a range of intelligent and cost-effective solutions based on MindSphere, the industrial IoT as a service solution from Siemens that uses advanced analytics and AI to power IoT solutions from the edge to the cloud. One example is a cloud analytics solution,


which provides an end-to-end system that includes sensors, connectivity hardware, and analysis and reporting software. The system, offered in co-operation with Shiratech, is an embedded sensor-to-cloud platform called iCOMOX (intelligent COndition MOnitoring boX) which can monitor operating conditions from the surface of industrial equipment. The box can be easily attached to a machine/device's surface, providing accurate insight into vibration, magnetic field, temperature and sound. One big advantage is its simplicity: iCOMOX,


combines the strengths of a multisensory device with the key features of MindSphere - making installation, operation and maintenance straightforward. iCOMOX has also been designed for low


energy consumption, with the integrated sensors detecting faults in many machines and numerous industrial systems. Several sensors have been integrated: the low-noise, low-power ADXL356 vibration sensor and the ADT7410 16-bit temperature sensor with a


codestryke dashboard


provides all the building blocks for the successful and cost-effective deployment of IIoT for condition-monitoring purposes. This, in turn, can be supported by partner company codestryke, which can provide a full range of consultancy and customisation services to ensure successful planning and roll-out of scalable MindSphere IIoT projects. The second example of smart collaboration


between Arrow and MindSphere provides a means of retrofitting IIoT monitoring capabilities to older equipment. The two companies have worked in conjunction with cybersecurity specialist Trustonic to provide a functional retrofit solution that can send data to the cloud safely and efficiently. In terms of how it works, sensors and


controllers attached to the plant transmit information to a gateway developed by Arrow. This could be based on Samsung Arctic 710s with Trusted Execution Environment, which offers a secure and trustworthy runtime environment for mobile devices' applications. The installed software transfers data to the MindSphere cloud via Virtual Private Network. To start a machine's communication with


MindSphere, operators use the smartphone app and a code to identify and connect to the gateway. This is followed by establishing a connection between the mobile phone and Trustonic's secure server. The operator then scans the barcode attached to the plant. A trusted application will, after legitimisation, be installed on the smartphone and gateway before the machine sensors or controllers will connect to the MindSphere cloud. Arrow also offers the entire Siemens


MindSphere IoT solution portfolio. This includes hardware, software and consultancy advice. The MindConnect IoT2040 and MindConnect Nanodevices will, in addition to the above concept, also be particularly suited for the Siemens AG SIMATIC-S7 family of programmable logic controllers. Furthermore, the Siemens Smart Machine


Assistant offers a combined solution for all industrial machinery, using data analysis and machine learning functions to improve the performance parameters of devices, systems and plant. This means it is possible to identify any hidden relationships and error sources to enhance the quality of production.


Arrow Electronics www.arrow.com


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