The Application of Optimized Database Technology in the Structural Pattern Recognition of Coal Conveying Belt Status

In thermal power generation, coal transportation is a crucial link in the production process, and conveyor belt coal transportation in corridors is a commonly used technical method. To ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of the conveyor, and promptly identify and handle abnormal situations. Traditionally, manual inspection has been adopted, which involves a large workload, high labor intensity, and a high risk of missing important details, making it difficult to meet the requirements of modern thermal power generation coal transportation inspection. Based on the optimal database technology, and according to the spatial conditions, the functional and performance requirements of the conveyor, and the operation mode, a aerial rail-mounted inspection robot that replaces manual inspection is proposed. The main functional components and characteristics of the coal transportation conveyor belts are systematically identified and recognized in a structural pattern, and a corresponding optimized database and access strategy with matrices and multi-level tree structures as the basic features are constructed, with three key sub-systems: (1) Design of the inspection robot and its rail system database - Hybrid mechanism——According to the performance requirements, operating mode, and function in space orbit, an inspection robot is proposed, replacing the manual labor, by use of machine vision, sensor technology, logic judgment algorithm, and combined with kinematics and dynamics analysis. The modular design of hanging rail type mobile robot system is carried out in layout with closed "O" type suspension orbit in the inspection area, realizing the robot's inspection and monitoring, warning and prompting, for the safety and smoothness of the coal supply. (2) Construction and Optimization of the Database for Robot Aerial Track Inspection Operation - Starting from the classic Coulomb's friction model, and in combination with the special requirements of the robot's running track, the sliding and rolling friction coefficient is corrected. At the same time, drawing on synchronous belt transmission, several teeth are specially set on the driving friction wheel to mesh with the tooth grooves on the track at a certain period, thus forming a hybrid mechanism of synchronous belt transmission and friction wheel transmission. Meanwhile, a bidirectional backstop is adopted to prevent the forward and reverse overspeed of the inspection robot, and the corresponding mechanism is designed to ensure the reliable operation of the inspection robot along the track, effectively solving the technical problem of "sliding down on the uphill and rushing forward on the downhill" of the inspection robot on the friction track parallel to the large climbing angle of the coal conveying corridor. The above technical methods and information and data are formed into a hierarchical logical relationship database and stored in a tree-like manner, and (3) Through the fastest mining algorithm of multi-level tree data and the matching robot system CCD detection, agreed scanning mode, classifier design and abnormal structure pattern recognition algorithm, the status of the conveyor belt roller, center displacement, non-rotation, severe wear, cracks, significant downward displacement of the conveyor belt, and coal leakage are monitored and warned online, realizing real-time status monitoring of the robot and alarm for abnormal situations.