首页|基于空间光学传感技术的变电站设备高热故障红外识别方法

基于空间光学传感技术的变电站设备高热故障红外识别方法

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无论对技术还是操作人员,变电站设备故障识别过程都有着非常严格的要求,而故障识别精度依旧较低.为此,提出基于空间光学传感技术的变电站设备高热故障红外识别方法.在采集得到变电站设备红外图像后,对其展开阈值分割、图像增强、光照分量估计一系列处理,削弱背景对目标识别的影响,找出目标所在区域;计算目标所在区域的温度概率密度,与温度范围比照,确定高温区域范围,完成对变电站设备高热故障的精准识别.利用所提方法分别识别避雷器、主变套管、电流互感器和隔离开关的故障位置,结果表明,所提方法识别到的目标故障位置非常精准,没有出现误检测或漏识别的情况.
Infrared Recognition Method for High Thermal Faults in Substation Equipment Based on Spatial Optical Sensing Technology
There are very strict requirements for both technical and operational personnel in the process of identifying faults in substation equipment,but the accuracy of fault identification is still relatively low.To this end,a infrared recognition method for high thermal faults in substation equipment based on spatial optical sensing technology is proposed.After collecting infrared images of substation equipment,a series of processes such as threshold segmentation,image enhancement,and lighting component estimation are carried out to weaken the influence of background on target recognition and identify the area where the target is located;Calculate the probability density of temperature in the target area,compare it with the temperature range,determine the range of high temperature areas,and accurately identify high temperature faults in substation equipment.The proposed method was used to identify the fault locations of lightning arresters,main transformer bushings,current transformers,and isolation switches.The results showed that the target fault locations identified by the proposed method were very accurate,and there were no false detections or missed detections.

space optical sensing technologytemperature probability densityimage segmentationlow light areasoptimal threshold

吴跃、宝贵、韩文军、占龙、郭沣慧

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国网呼伦贝尔供电公司,呼伦贝尔 021000

国网岳阳供电公司,岳阳 414000

空间光学传感技术 温度概率密度 图像分割 低照度区域 最佳阈值

2024

环境技术
广州电器科学研究院有限公司

环境技术

CSTPCD
影响因子:0.995
ISSN:1004-7204
年,卷(期):2024.42(3)
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