Yongqiang Yang, Bin Bo, Yuhang Zheng, Yin Lu, Bing Zhou, Hangwei Ji, Dawei Shen
{"title":"Research on power engineering solutions based on NB-IoT technology","authors":"Yongqiang Yang, Bin Bo, Yuhang Zheng, Yin Lu, Bing Zhou, Hangwei Ji, Dawei Shen","doi":"10.1109/ICPECA53709.2022.9718830","DOIUrl":null,"url":null,"abstract":"Safety production and quality assurance are important goals of infrastructure construction. How to use cutting-edge technologies to improve the safety indicators of infrastructure construction sites and achieve intelligent management is the research purpose of this article. With the widespread application of Internet technology, technologies such as the Internet of Things, 5G technology, and artificial intelligence are integrated to infrastructure construction sites to complement the advantages of traditional information platforms, achieve effective information integration, and improve the real-time nature and the degree of automation of the construction management system. This article, based on the construction process of power transmission and transformation projects, adopts the latest generation of 5G narrowband Internet of Things (NB-IOT) technology to carry out a comprehensive monitoring layout on the construction site, implements management from multiple perspectives such as personnel management, risk avoidance, and quality control, and establishes an intelligent construction site management system of electrical construction, so as to realize the automatic and real-time information collection and processing of the construction site, and effectively improve the safety factor, work efficiency and engineering quality of the site. The effectiveness of the system application also promotes the further integration of the development of the Internet of Things technology and infrastructure work.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA53709.2022.9718830","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
Safety production and quality assurance are important goals of infrastructure construction. How to use cutting-edge technologies to improve the safety indicators of infrastructure construction sites and achieve intelligent management is the research purpose of this article. With the widespread application of Internet technology, technologies such as the Internet of Things, 5G technology, and artificial intelligence are integrated to infrastructure construction sites to complement the advantages of traditional information platforms, achieve effective information integration, and improve the real-time nature and the degree of automation of the construction management system. This article, based on the construction process of power transmission and transformation projects, adopts the latest generation of 5G narrowband Internet of Things (NB-IOT) technology to carry out a comprehensive monitoring layout on the construction site, implements management from multiple perspectives such as personnel management, risk avoidance, and quality control, and establishes an intelligent construction site management system of electrical construction, so as to realize the automatic and real-time information collection and processing of the construction site, and effectively improve the safety factor, work efficiency and engineering quality of the site. The effectiveness of the system application also promotes the further integration of the development of the Internet of Things technology and infrastructure work.