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Industrial Ethernet Book 104

Technology Future-proof data processing with intelligent IoT gateways IoT gateway solutions can simplify data acquisition from devices and then use popular Modbus protocols, to route the data using built-in 4G LTE communication capability. This enables efficient, on-demand transmission of data, and faster response times for systems in the field. THE IMPLICATIONS OF BRINGING a large number of devices online, namely the need for efficient methods to collect information from IoT devices and how to handle the large amount of data collected from these devices, has largely been an overlooked topic. To date, most discussions about the Industrial Internet of Things (IoT) have been about connecting new devices and rapidly bringing them online. Industrial IoT solutions are judged on their ability to adapt to various data acquisition needs and how they can transform the data collected from devices into useful business insights that can help decision makers. What makes an Industrial IoT solution truly stand out is the flexible data handling possibilities that it can provide. Providing efficient and maintainable data handling as part of an IoT solution presents significant challenges because of the very nature of data-management solutions that exist today. System integrators looking to deploy IT solutions in the Industrial IoT world are faced with complicated requirement specifications and have to spend a lot of time and money customizing these applications to suit specific industrial automation (IA) requirements. Customizing applications for IIoT Most solution integrators are not familiar with the various fieldbus protocols used by field devices. They typically end up deploying standard data management solutions that can cater well to IT applications but cannot support the data-acquisition, storage, processing, transmission, and data-analytic needs of industrial automation solutions. Integrators might not have the skills to customize these data management solutions for the IoT. A customized solution that can fill the gap between the IT and IA applications is required. IT experts, who are oriented more towards the needs of business applications, need to be trained on the critical requirements of industrial applications, so that they can build data solutions that are a good fit for Industrial IoT solutions. Customized IIoT solutions It is common knowledge that any customization of controllers, data loggers, and routers requires huge investments of time System architecture before and after implementing the system with an intelligent IoT gateway. and money. Embedded computers are highly customizable, but you have to build what you need from scratch. An intermediate solution that combines the capabilities of a controller, data logger, router, and customized software will significantly shorten the time-to-market. Such a ready-made solution will allow you to focus on your core competencies rather than build a customized solution. GUI for data acquisition A configurable easy-to-use GUI (graphical user interface) for data acquisition, which allows an IT expert to handle the popular Modbus protocols in industrial automation applications without the need for any additional programming will take the pressure off of the field engineers who can focus on the tasks that they are good at. Seamless data integration Edge devices are deployed and used every day to fill the information gap in the field. These devices operate based on different Modbus protocols or may sometimes use proprietary protocols. The deployment of these edge devices is widening the boundaries of a traditional enterprise into spaces that were never before imagined. Centralized SOURCE: MOXA data management systems must be able to integrate disparate data types from these devices and add the relevant contextual dimension to the data to create a unified view of the operations for effective system management. The volume of data that is generated by the edge devices is growing exponentially. Industrial IoT solutions must include a strategy to handle such large volumes of data. Industrial IoT applications should have the built-in ability to respond locally to a field alert and take corrective action at the device end to enable faster response time instead of transmitting data to a centralized data management system. The process of transmitting data to a centralized system for processing could take up to a few minutes, which could be too late if it involves data relating to critical industrial processes. Local intelligence/edge-computing One strategy to achieve faster response time is to deploy Big Data solutions, which are expensive and require skilled personnel. Alternatively, you can process data locally either in the IoT gateway or at the device-end and make decisions locally, which is much faster. Then, only critical data needs to 43 2.2018 industrial ethernet book


Industrial Ethernet Book 104
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