Design and implementation of real-time monitoring system for multiple machine tools

Abstract With the increase in the number of machine tools in the workshop and the increase in machine tool operating data, the traditional maintenance mode cannot meet the needs of enterprises for efficient and stable production in the workshop. Based on big data components such as Flink, Kafka, and HBase, a high-performance real-time monitoring system for multiple machine tools is constructed. The system collects data by adding sensors and the communication protocol of the CNC system, and writes the collected data into the message queue Kafka. The real-time monitoring module is built with Flink as the core, and consumes data from Kafka as a Kafka consumer. After Flink completes the preprocessing and statistics of the data, it stores the data in HBase, and realizes the visual display of the monitoring data through visual components. Experimental test results show that the system runs stably, has reliable performance, and has good scalability, which can effectively improve workshop monitoring efficiency and reduce enterprise operating costs.