Design of Gearbox Monitoring System Based on Edge Computing

With the advent of Industry 4.0 and the Industrial Internet, the Internet of Things (IoT) development of applications is booming, the mining machinery working environment is extremely harsh, therefore, the requirements of the performance, quality, durability, reliability of its gearbox is pretty high, to meet these requirements, real-time monitoring is becoming a demanded task. For this purpose, a gearbox monitoring system based on edge computing is established. In the paper at hand, a novel Jacobi-type data parallel processing method is proposed, with which, the efficiency and life of the gearbox are calculated through the edge service APP. Traditional methods by solely utilizing cloud computing cannot effectively accomplish this task. Using cloud-edge collaboration technology, the Web application in scenarios such as intelligent mining is designed, which can grasp the operating status of equipment in the entire mining area, unify scheduling and orchestration of computing resources, update the monitoring model on edge computing nodes, and process and generate effective data of machinery and equipment in real-time at the edge computing device. It reduces the operation and maintenance cost, solves the problem of monitoring data congestion caused by insufficient data bandwidth, and ensures a stable and safe operation of mining machinery.