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Intelligent Edge IoT Platforms much have certain functionalities that are critical for any successful IoT implementation. IoT solutions provide visibility on how your assets and processes are performing. They use real-time sensor data to get insights into your plant’s performance that help answer “what if” scenarios for various stakeholders.
Let us first start with a quick review of the traditional approach to monitoring and control of processes and machines. PLCs/RTUs are typically used for this purpose today. PLCs/RTUs are purpose-built hardware for controlling a machine. PLCs/RTUs are not built for 1) collecting sensor data using various industry wireless interfaces (Zigbee/BLE) and cannot handle wired interfaces such as Video feeds and 2) Transform the ingested data before transporting it into an IoT application using secured communication protocol over GSM/GPRS/4G/Wifi. Hence you need a system that was designed with IoT in mind.
First the intelligent edge IoT hardware should be designed for collecting sensor data at scale, transforming it into actionable intelligence with a powerful on-board processor with support for high-level and general-purpose programming languages such as Python, Flow chart programming, Node RED and others.
Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates. It enables latency-sensitive computing, offers greater business agility through better control and faster insights, lowers operating expenses, and results in a more efficient network bandwidth utilization.
Here are six must have Edge IoT Platform functionalities needed for any successful IOT project implementation. Please feel free to add to my list — or challenge it — in the comments
Six must have Edge IoT Platform functionalities :
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