Design and Implementation of Distributed Industrial Internet of Things Intelligent Sensing System Based on Edge Computing

With the rapid development of Industry 4.0 and smart manufacturing, Industrial Internet of Things (IIoT) is playing an increasingly important role in areas such as equipment condition monitoring, fault prediction, and energy management. This paper designs and implements a distributed industrial IoT intelligent sensing system based on edge computing. The system uses STM32 microcontrollers to construct a multi-node sensing network, combined with the Jetson Nano edge computing platform, forming a low-power, highly robust, and real-time industrial monitoring architecture. Experimental results show that the proposed system performs well in terms of communication latency, multi-node synchronization, and system stability, demonstrating good scalability and strong practical applicability. It is suitable for intelligent sensing and remote maintenance of equipment operation status in complex and changing industrial environments.