摘要
为了提高高压电力线异物预警的抗干扰性和可视效果,提出一种基于图像识别的高压电力线异物预警系统,通过图像采集识别系统对电力线周边的情况生成二维图像并进行识别,利用短距离无线数据对两组识别结果进行合成,利用智能图像识别及投影技术对合成结果进行分析,获取物体的三维位置。通过传输设备将识别到的异物信息传入预警系统,通过预处理模块、前景检测模块、目标位置定位模块、预警模块等实现高压电力线异物预警。测试实验结果表明,所设计预警系统具有较高的处理效率,可准确监测出不同场景中的高压电力线异物,并进行实时预警。
In order to improve the anti-interference and visual effect of high-voltage power line foreign object warning,a high-voltage power line foreign object warning system based on image recognition is proposed.The image acquisition and recognition system generates two-dimensional images and recognizes the surrounding conditions of the power line.The short-distance wireless data are used to synthesize the two sets of recognition results,intelligent image recognition and collective projection technology are used to analyze the composite results,the three-dimensional position of the object can be obtained,and the recognized foreign object information is transmitted to the early warning system through the transmission device.Processing module,foreground detection module,target location positioning module,early warning module are designed to realize the early warning of foreign objects on high-voltage power lines.Test results show that the designed system has high processing efficiency,can accurately monitor foreign objects in high-voltage power lines in different scenarios,and provides real-time early warning.
作者
张佩
王博
周秀萍
亓亮
ZHANG Pei;WANG Bo;ZHOU Xiuping;QI Liang(Electric Power Research Institute of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750000,China)
出处
《微型电脑应用》
2023年第5期59-63,共5页
Microcomputer Applications
基金
国网宁夏电力有限公司技术攻关项目(202102001X)。
关键词
计算机视觉
高压电力线
异物接近
预警系统
前景检测
computer vision
high-voltage power line
foreign objects approaching
early warning system
foreground detection
