Research on Mining Belt Conveyor Belt Damage Detection System Based on Multi-Algorithm Fusion
In response to the common problems of edge damage,surface damage,and difficulty in detecting internal wire rope damage in mining belt conveyors,a belt damage detection system for mining belt conveyors is proposed by analyzing the forms and characteristics of belt damage and integrating multiple intelligent recognition algorithms.Inverted neural network algorithms and KDFA-CenterNet belt damage detection algorithms are established to achieve high-precision detection of damage characteristics on the outer and inner layers of the belt,and hardware system design and software control system design are completed.After on-site installation and debugging of the Z1236 main conveyor belt in a coal mine in Shanxi,the application showed that the online monitoring system for belt damage can accurately identify common damages inside and outside the belt,with an accuracy of up to 98.6%.It can timely warn of belt damage and effectively avoid the occurrence of conveyor belt shutdown accidents,achieving good application results.
belt conveyorbeltinternal and external damageintelligent recognitionnon-destructive testing
万方数据
维普
