Key technologies of data monitoring for coal machinery equipment in the intelligent IOT environment

Coal machinery equipment plays an important role in the process of coal mining. It is of great significance for its safe, stable, reliable and healthy operation to carry out the research on data monitoring methods of coal machinery equipment. Aiming at the problems of repeated construction of monitoring and diagnosis system of coal machine equipment, serious “information island” phenomenon and poor expansion of transmission network, this study puts forward the data monitoring method of coal machine equipment based on the perception of Internet of Things (IoT), and focuses on the key technologies of data acquisition, data transmission, data processing and application of coal machine equipment, and establishes the overall structure of coal machinery equipment monitoring based on IoT. In the sensing layer, a cooperative information acquisition system for key components of coal machinery equipment based on ZigBee short-distance wireless communication technology is designed to realize real-time data acquisition. In the network layer, a long-distance wireless data transmission and reception platform based on 4G technology is established, and Message Queuing Telemetry Transport (MQTT) communication protocol is used to send the data to the cloud, the interface is reserved for future communication technology, the real-time transmission and storage of data are realized. In the middleware layer, the processing methods of heterogeneous data are proposed, and the preprocessing technology of big data is studied to realize data sharing. In the application layer, the application direction of coal machine equipment data monitoring is proposed. Based on the interactive technology, a humanized and visual fault monitoring and diagnosis platform is established, which verifies the above theories and methods. This study not only realizes the effective monitoring of coal machine equipment data, but also promotes the sharing of coal machine information, which provides a new idea for the construction of intelligent mine.