摘要
受到红外硬件采集环境变量及自身参量的制约,传统监测模型所得监测结果误差较大,无法达到预期效果,会严重影响输电线路隐性缺陷监测效率。为了解决这一问题,引入高级精简指令集机器(ARM)处理硬件计算,在此基础上对监测模型进行红外数据量化与可视化信息分析处理,以此提升监测效果。具体实现可分为以下4个部分:建立ARM下输电线路隐性缺陷红外框架;构建输电线路隐性缺陷红外可视化模型;缺陷红外可视化监测量模型;红外可视化缺陷监测量ARM数据转化。各部分既独立又统一,确保优化参量的精准。通过测试比较分析,证明所提模型的有效性,同时表明所提模型相比其他模型更加容易实现,具有较高的研究与推广价值。
Restricted by the environmental variables of infrared hardware collection and its own parameters,the monitoring re-sults obtained by the traditional monitoring model have large errors,which cannot achieve the expected effect and seriously af-fect the monitoring efficiency of the hidden defects of transmission lines.In order to solve this problem,advanced RISC ma-chine(ARM)processing hardware computing is introduced,and the infrared data quantification and visualization information analysis are processed on the monitoring model,so as to improving the monitoring effect.The specific implementation can be divided into the following four parts,establishment of infrared framework of hidden defects of transmission lines under ARM,construction of infrared visualization model of hidden defects of transmission lines,infrared visualization monitoring model of defects,ARM data transformation of infrared visualization defects monitoring quantity.Each part is both independent and uni-fied,to ensure the accuracy of the optimization parameters.Through the comparative analysis of the test,the effectiveness of the proposed model is proved.It also shows that the proposed model is easier to implement compared with other models,which has high research and promotion value.
作者
柳叙贤
郝斐
魏夏
王咏梅
LIU Xuxian;HAO Fei;WEI Xia;WANG Yongmei(QingdaoHuangdao Power Supply Company,State Grid Shandong Electric Power Company,Qingdao 2664o0,China)
出处
《微型电脑应用》
2025年第5期191-194,204,共5页
Microcomputer Applications
关键词
ARM
输电线路
隐性缺陷
红外可视化
监测模型
ARM
transmission line
hidden defect
infrared visualization
monitoring model
