In order to solve the problem of low early warning efficiency caused by different data dimensions collected by different sensors in the process of industrial production line fault early warning,a multi-sensor fusion technology for industrial production line fault early warning is proposed.Firstly,different sensor data are fused and converted by projection,and the position information of industrial production line equipment in the sensor coordinate system is converted into the data form in the plane coordinate system;Then,using the beam adjustment algorithm for coordinate system fusion,the pose of industrial production line equipment is obtained;Finally,using deep confidence networks to calculate the relationship between the pose of industrial production line equipment and the target state,determine whether the industrial production line equipment is in a faulty state,and make corresponding warnings in a timely manner.After testing,this technology has achieved efficient early warning for industrial production line faults of different types and degrees,with a stable time cost of less than 1.0 second.
multi-sensor fusionindustrial production linefault warningprojectionbeam adjustment algorithmcoordinate system fusion conversion
国家科技期刊平台
NSTL
维普
万方数据
