Thread Content
Energy conservation and environmental protection are among the technological development trends for belt conveyors in coal mines. In the future, permanent magnet drive technology will be further integrated with coal mine belt conveyors, giving rise to a new generation of efficient, integrated permanent magnet (drum) drive systems ； Dynamic design is employed to optimize the layout of belt conveyors, improve soft-start and power balance control strategies, and facilitate coordinated control of drive tensioning; this reduces the dynamic tension in the system, simplifies the selection of conveyor belts, lowers energy consumption, reduces unit transportation costs, and enhances production efficiency. 1) There is an urgent need to conduct theoretical research and data testing on conveyor belts with low trough resistance, in order to reduce the design criteria for the simulated friction coefficient of belt conveyors ； The technical challenge lies in establishing an accurate mathematical model for rubber based on the dynamic properties of polymer materials, which is also the foundation for researching low-resistance conveyor belts. 2) The dynamically analyzed belt conveyor software developed here shows significant differences compared to commercially available analysis software abroad in terms of the viscoelastic model, software performance, and analysis results. 3) The intelligent control technology and dynamic response capability of the automatic tensioning device need to be improved, so as to match the tensioning response speed with the moving speed required by the tensioning vehicle, thereby meeting various dynamic operating conditions such as the startup and shutdown of the conveyor. 4) The reliability of non-metallic idlers still needs further verification, and their high-temperature resistance requires improvement. 5) There is a delay in detecting longitudinal tears in conveyor belts; to reduce such incidents, many anti-tear protection devices have been developed both domestically and internationally. 6) Video image analysis techniques used for identifying foreign objects and detecting coal pile-ups are susceptible to external factors and image noise, requiring the use of various filtering methods to extract feature values, which makes the algorithms quite complex. 7) The accuracy of fault diagnosis and identification is relatively low. Currently, many coal mining equipment manufacturers are researching fault diagnosis for belt conveyor machinery, but due to limited detection methods and diagnostic algorithms, these techniques have not been widely adopted in coal mines. 8) The belt conveyor inspection robots have the following three problems: difficulty in climbing slopes, high power consumption, and poor battery life/insufficient functions/difficulties in charging the batteries. 9) The idlers of belt conveyors lack unique numbering and identification, which hinders their identification, maintenance, and location. 10) The information related to coal mine equipment is confidential; once the equipment starts operating, the manufacturers of such equipment cannot obtain permission to access its data, which hinders the intelligent operation and maintenance of these devices.