{"title":"Evaluation Algorithm of Construction Project Safety Management Based on BP Neural Network","authors":"Jihuan Zhuo, Meiping Wang, Yuhao Wan, Xiudai Wang","doi":"10.1109/ICPECA53709.2022.9719089","DOIUrl":null,"url":null,"abstract":"At present, China’s construction market has achieved competitive bidding at home and abroad, and more and more construction projects are determined by bidding. Although the development and application of new building technologies have solved many technical difficulties in engineering construction, construction projects are not only characterized by complex construction technologies, but also by large investment funds, long construction period, many participants and complex construction environment factors. The construction industry is also prone to safety accidents, which is one of the characteristics of the construction industry. Especially under the condition of non-standard and unscientific construction accident control and management, the annual losses caused by construction accidents are very huge, which also restricts the development process of China’s construction industry. This paper uses the bid evaluation model of BP neural network algorithm to evaluate the safety management of construction project.","PeriodicalId":244448,"journal":{"name":"2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)","volume":"78 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/ICPECA53709.2022.9719089","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
At present, China’s construction market has achieved competitive bidding at home and abroad, and more and more construction projects are determined by bidding. Although the development and application of new building technologies have solved many technical difficulties in engineering construction, construction projects are not only characterized by complex construction technologies, but also by large investment funds, long construction period, many participants and complex construction environment factors. The construction industry is also prone to safety accidents, which is one of the characteristics of the construction industry. Especially under the condition of non-standard and unscientific construction accident control and management, the annual losses caused by construction accidents are very huge, which also restricts the development process of China’s construction industry. This paper uses the bid evaluation model of BP neural network algorithm to evaluate the safety management of construction project.