微型电脑应用2025，Vol.41Issue(2)：249-252,256,5.
基于物联网技术的电力设备异常温升状态监测方法
Method for Monitoring Abnormal Temperature Rise Status of Power Equipment Based on Internet of Things Technology
孙超 1祁步仁 1王义成 1张国梁 1李瑾辉1
作者信息
- 1. 国网江苏省电力有限公司信息通信分公司,江苏,南京 210024
- 折叠
摘要
Abstract
Conventional methods for monitoring abnormal temperature rise status in power equipment cannot accurately locate the position of the abnormal temperature rise,and cannot effectively identify the temperature rise value,therefore,a power equipment abnormal temperature rise monitoring method based on the Internet of Things technology is proposed.The overall framework of narrowband Internet of Things for temperature monitoring of power equipment is proposed to realize infrared temperature sensing image acquisition and data transmission.Gray weighting method is used to transform the monitoring im-age,and gamma correction is introduced to complete the image preprocessing.The improved binarization strategy is used to di-vide the global image into several local images and search the pixels to obtain the adaptive threshold.It can accurately locate the temperature display area according to the vertical projection positioning method of contour,and intuitively present the tempera-ture value.Constructing a method for monitoring abnormal temperature rise in power equipment by using convolutional neural network(CNN)algorithm to capture image features.According to the experimental results,the proposed method can accurate-ly locate the abnormal temperature rise region,and the identification results of temperature rise values are 38.9 ℃ and 36.1 ℃,respectively,which fully fit the actual temperature values and have stronger reliability.关键词
物联网/电力设备/异常温升/温升监测/监测方法Key words
Internet of Things/power equipment/abnormal temperature rise/temperature rise monitoring/monitoring method分类
动力与电气工程引用本文复制引用
孙超,祁步仁,王义成,张国梁,李瑾辉..基于物联网技术的电力设备异常温升状态监测方法[J].微型电脑应用,2025,41(2):249-252,256,5.
