Research on cloud-edge-terminal collaborative intelligent control of coal shearer based on 5G communication

The current shearer control system is difficult to deal with the complex working conditions of the underground working face. The realization of the intelligent height and speed regulation control of the shearer is faced with three major technical problems:the lack of data communication capacity of traditional 4G, WiFi and other wireless communication technologies, the low data processing synergy of the centralized cloud computing platform, and the need for high manual intervention assistance for coal cutting control. In order to promote the intelligent development of the shearer and the whole fully mechanized mining face, starting from solving the key technologies of the shearer such as 5G communication technology, cloud-side-end collaboration technology, intelligent height and speed regulation control technology, a shearer intelligent height and speed regulation control system based on 5G+cloud-side-end collaboration technology was developed, and the 5G communication technology and cloud-side-end collaboration technology used in the system were described in detail, the hardware platform and communication network of the shearer intelligent height adjustment and speed regulation control system were introduced. The shearer intelligent height and speed regulation control system adopts a multimodal fusion coal rock distribution identification model based on feature level fusion and decision level complementarity, and on the basis of coal rock distribution identification technology, the shearer intelligent height adjustment and speed regulation control strategy of "memory cutting coal+coal rock distribution identification intervention" is used for cutting control. The 81309 Working Face in Shendong Baode Coal Mine conducted a 2-month application test of the control system, the test results showed that the packet loss rate of the real-time communication of the shearer was about 0.003%, the end-to-end average communication delay between the shearer and the centralized control center had decreased by 75%, the failure rate of the shearer drum had decreased by 42%, and the coal gangue mixing rate of the front scraper conveyor had decreased by 42.9%, which verified the practicality and feasibility of the shearer intelligent control system and the hardware platform. The work improved the intelligent degree and reliability level of shearer control, which can be popularized and applied to promote the intelligent development of fully mechanized mining face.