{"title":"Intelligent Multi-Agent Building Management in Various Operation Modes","authors":"O. Maryasin","doi":"10.1109/SUMMA48161.2019.8947587","DOIUrl":null,"url":null,"abstract":"This paper reviews an approach to solving a problem of building management in various modes of operation using multi-agent control system with intelligent agents. The intelligence of an agent is achieved using an integrated production rule expert system. Intelligent agents help to successfully solve the problems associated with decision-making when incidents and emergencies occur, identify the preferences and satisfy the requirements of people. The algorithms of an intelligent agent were tested by simulating an emergency - a fire breakout in one of the building's areas. The simulation results confirm the effectiveness of the proposed building management approach.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947587","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
This paper reviews an approach to solving a problem of building management in various modes of operation using multi-agent control system with intelligent agents. The intelligence of an agent is achieved using an integrated production rule expert system. Intelligent agents help to successfully solve the problems associated with decision-making when incidents and emergencies occur, identify the preferences and satisfy the requirements of people. The algorithms of an intelligent agent were tested by simulating an emergency - a fire breakout in one of the building's areas. The simulation results confirm the effectiveness of the proposed building management approach.