Automatic Monitoring System Design of Electric Power Field Based on Image Processing
In order to improve the intelligent automation monitoring of power field,this paper designs and realizes a kind of automatic monitoring system of power field based on computer vision.The intelligent recognition algorithm acquires the calculation points by accounting the mean value,conducts image fusion of power field monitoring area by using Gauss distribution of the distance factor.Environment modeling is made through the statistical account of depth values of all pixels ; dynamic characteristics of the electric field are used to determine the occurrance of power failures and environment mutations.System terminal controls the synchronization exposure through a separate MCU,processed by DSP-based core algorithm to generate the system design layout,with a ficus on data acquisition module analysis.The simulation results show that the proposed method has high processing speed and accuracy,as well as better monitoring effect.
computer visionelectric power fieldautomatic monitoring
NETL
NSTL
万方数据
维普
