{"title":"Tri-modality fusion imaging system for the electric power industry","authors":"Xiaohan Lai, Zhiwei Deng, Jinxia Jiang, Yunye Wang, Zhengbo Chen, Yiyang Yao","doi":"10.1109/ICPICS55264.2022.9873623","DOIUrl":null,"url":null,"abstract":"The tri-modality fusion imaging monitoring system is a challenging technique due to the long-standing problem of the observation and registration of high-dimensional data. With the increasing load of the power grid and expansion of construction scale, most of the existing traditional single sensor imaging techniques are difficult to diagnose system error comprehensively, which brings disregardful trouble to the safety of power equipment. This paper develops a new tri-modality fusion spectral imaging system for collecting ultraviolet-visible-infrared images. Specifically, we realize real-time synchronous acquisition for the same scene with a single piece of equipment. Simultaneously, the system can acquire information on the object’s temperature, discharge, and texture details, which drastically enhances the comprehensiveness of analysis for grid status diagnosing.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPICS55264.2022.9873623","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The tri-modality fusion imaging monitoring system is a challenging technique due to the long-standing problem of the observation and registration of high-dimensional data. With the increasing load of the power grid and expansion of construction scale, most of the existing traditional single sensor imaging techniques are difficult to diagnose system error comprehensively, which brings disregardful trouble to the safety of power equipment. This paper develops a new tri-modality fusion spectral imaging system for collecting ultraviolet-visible-infrared images. Specifically, we realize real-time synchronous acquisition for the same scene with a single piece of equipment. Simultaneously, the system can acquire information on the object’s temperature, discharge, and texture details, which drastically enhances the comprehensiveness of analysis for grid status diagnosing.