摘要
随着我国电力行业新常态的发展,推动电力行业高质量发展成为助力社会经济发展的重要因素。传统的电力设备监测模式主要是通过人工巡视或者利用网络系统实现局部在线监测,此种方式虽然能够发现电力设备故障,但是其需要花费大量的人力、物力开展周期性巡视,而基于电力设备智能化的发展,导致工作人员的劳动量不断增加,存在因巡视不到位或者没有及时发现潜在故障而导致电力设备出现损坏,造成大面积停电的问题。机器视觉利用图像信息技术可以实现对相关数据的快速处理,这样可以大幅提高电力设备的监测效率,因此依托机器视觉构建自动化、智能化的监测系统至关重要。基于此,文章对基于机器视觉的电力设备监测系统进行研究,以供参考。
With the development of the new normal of China’s power industry,promoting the high-quality development of the power industry has become an important factor contributing to social and economic development.The traditional power equipment monitoring mode mainly realizes local online monitoring through manual inspection or using network system.Although this method can find power equipment faults,it needs to spend a lot of manpower and material resources to carry out periodic inspection.Based on the development of intelligent power equipment,the workload of staff is increasing,There is a problem that the power equipment is damaged and a large-scale power outage is caused by inadequate patrol inspection or failure to find potential faults in time.Machine vision can realize the rapid processing of relevant data by using image information technology,which can greatly improve the monitoring efficiency of power equipment.Therefore,it is very important to build an automatic and intelligent monitoring system based on machine vision.Based on this,this paper studies the power equipment monitoring system based on machine vision for reference.
作者
白鑫
毕玉冰
岳睿
Bai Xin;Bi Yu-bing;Yue Rui
出处
《电力系统装备》
2021年第22期190-191,共2页
Electric Power System Equipment
关键词
机器视觉
电力设备
监测系统研究
machine vision
Power equipment
Research on monitoring system
