Caiying Huang, Ruiqing Shen, JingJing Wang, H. Cai
{"title":"Exploration and Research of Waste Management System for High-Rise Buildings Based on Computer Technology","authors":"Caiying Huang, Ruiqing Shen, JingJing Wang, H. Cai","doi":"10.1109/2ICML58251.2022.00017","DOIUrl":null,"url":null,"abstract":"The proper disposal of high-rise construction waste has become an important requirement for the standardization and efficiency of high-rise building construction. However, the current management process of high-rise buildings in China still faces a number of problems, including cluttered waste dumping sites, weak vertical transportation capacity, outbound conflicts leading to chaotic construction sites, and low construction efficiency. In order to solve these problems, the use of computer technology for intelligent management of construction waste has become a trend, and this paper relies on intelligent induction system and Internet of Things technology to establish an intelligent control platform for high-rise construction waste based on the use of computer technology. The system uses modular monitoring and removal tracking management to solve the problem of chaotic construction waste removal. In addition, this paper introduces a monitoring dust reduction system for dust detection and dust reduction treatment for construction waste removal, which is consistent with the green construction requirements of high-rise buildings. High-rise construction waste management system uses information technology as the main means to manage high-rise construction waste with information technology to overcome the drawbacks of traditional construction waste management and to effectively promote the construction process.","PeriodicalId":355485,"journal":{"name":"2022 International Conference on Intelligent Computing and Machine Learning (2ICML)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Computing and Machine Learning (2ICML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/2ICML58251.2022.00017","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 proper disposal of high-rise construction waste has become an important requirement for the standardization and efficiency of high-rise building construction. However, the current management process of high-rise buildings in China still faces a number of problems, including cluttered waste dumping sites, weak vertical transportation capacity, outbound conflicts leading to chaotic construction sites, and low construction efficiency. In order to solve these problems, the use of computer technology for intelligent management of construction waste has become a trend, and this paper relies on intelligent induction system and Internet of Things technology to establish an intelligent control platform for high-rise construction waste based on the use of computer technology. The system uses modular monitoring and removal tracking management to solve the problem of chaotic construction waste removal. In addition, this paper introduces a monitoring dust reduction system for dust detection and dust reduction treatment for construction waste removal, which is consistent with the green construction requirements of high-rise buildings. High-rise construction waste management system uses information technology as the main means to manage high-rise construction waste with information technology to overcome the drawbacks of traditional construction waste management and to effectively promote the construction process.