Operation Monitoring System Design of Power Equipment Based on Embedded Machine Vision Recognition
In order to improve the ability of monitoring the running process of power equipment,an embedded machine vision system is designed,it includes graphics acquisition module,image processing module,graphics display module and result out-put module.Through the design of embedded technology,the acquisition,processing,display and output of power equipment image information are realized.Through the OV7670 image sensor,the image acquisition ability is improved.When diagnosing fault information,based on multi principal component analysis model and support vector machine-DS fusion decision method,the separation of normal data information and fault data information is realized.The test results show that the fault diagnosis accuracy of the system is as high as 95％,which greatly improves the monitoring ability of power equipment and fault process-ing efficiency.
万方数据
维普
