{"title":"预测分析在建筑中的应用前景","authors":"I. Kamaeva, Lyubov' Adamcevich","doi":"10.29039/2308-0191-2023-11-2-12-12","DOIUrl":null,"url":null,"abstract":"In an era when the amount of data is growing exponentially, it becomes impossible to effectively process them with the old methods. As a result, there is a growing need to introduce new technologies for processing and analyzing data in all areas of activity, where the construction industry is no exception. One of the innovative ways to use data is predictive - predictive or predictive analytics. \nThe article gives an idea of the problems and prospects for the use of predictive analytics in the construction industry in Russia. \nA review of publications presented in the RSCI - a bibliographic database of scientific publications, mainly by scientists from the Russian Federation and CIS countries, was carried out for the keywords \"predictive analytics\" and \"construction\", however, the analysis of published materials for the period from 2011 to 2023 was carried out. showed that only 7 publications were recorded for the specified keywords, which indicates that research in this direction is still of a pioneering nature. \nAt the same time, it should be noted that the publications deal with drilling issues or are related to energy supply processes. Only 1 work seems interesting within the framework of the presented article, where predictive analytics is applied to preventive maintenance. \nThe analytics of the construction industry market by respondent companies (organizations of architecture, engineering and construction) is presented. \nAnalyzed existing services and platforms, including the function of predictive (forecast) analytics. It is noted that the departure of foreign vendors motivated Russian developers to quickly approach the issue of import substitution, and in 2022 a number of domestic companies presented their developments with the functionality of predictive analytics.","PeriodicalId":40951,"journal":{"name":"Russian Journal of Building Construction and Architecture","volume":"38 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prospects for the use of predictive analytics in construction\",\"authors\":\"I. Kamaeva, Lyubov' Adamcevich\",\"doi\":\"10.29039/2308-0191-2023-11-2-12-12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In an era when the amount of data is growing exponentially, it becomes impossible to effectively process them with the old methods. As a result, there is a growing need to introduce new technologies for processing and analyzing data in all areas of activity, where the construction industry is no exception. One of the innovative ways to use data is predictive - predictive or predictive analytics. \\nThe article gives an idea of the problems and prospects for the use of predictive analytics in the construction industry in Russia. \\nA review of publications presented in the RSCI - a bibliographic database of scientific publications, mainly by scientists from the Russian Federation and CIS countries, was carried out for the keywords \\\"predictive analytics\\\" and \\\"construction\\\", however, the analysis of published materials for the period from 2011 to 2023 was carried out. showed that only 7 publications were recorded for the specified keywords, which indicates that research in this direction is still of a pioneering nature. \\nAt the same time, it should be noted that the publications deal with drilling issues or are related to energy supply processes. Only 1 work seems interesting within the framework of the presented article, where predictive analytics is applied to preventive maintenance. \\nThe analytics of the construction industry market by respondent companies (organizations of architecture, engineering and construction) is presented. \\nAnalyzed existing services and platforms, including the function of predictive (forecast) analytics. It is noted that the departure of foreign vendors motivated Russian developers to quickly approach the issue of import substitution, and in 2022 a number of domestic companies presented their developments with the functionality of predictive analytics.\",\"PeriodicalId\":40951,\"journal\":{\"name\":\"Russian Journal of Building Construction and Architecture\",\"volume\":\"38 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2023-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Russian Journal of Building Construction and Architecture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29039/2308-0191-2023-11-2-12-12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Russian Journal of Building Construction and Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29039/2308-0191-2023-11-2-12-12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Prospects for the use of predictive analytics in construction
In an era when the amount of data is growing exponentially, it becomes impossible to effectively process them with the old methods. As a result, there is a growing need to introduce new technologies for processing and analyzing data in all areas of activity, where the construction industry is no exception. One of the innovative ways to use data is predictive - predictive or predictive analytics.
The article gives an idea of the problems and prospects for the use of predictive analytics in the construction industry in Russia.
A review of publications presented in the RSCI - a bibliographic database of scientific publications, mainly by scientists from the Russian Federation and CIS countries, was carried out for the keywords "predictive analytics" and "construction", however, the analysis of published materials for the period from 2011 to 2023 was carried out. showed that only 7 publications were recorded for the specified keywords, which indicates that research in this direction is still of a pioneering nature.
At the same time, it should be noted that the publications deal with drilling issues or are related to energy supply processes. Only 1 work seems interesting within the framework of the presented article, where predictive analytics is applied to preventive maintenance.
The analytics of the construction industry market by respondent companies (organizations of architecture, engineering and construction) is presented.
Analyzed existing services and platforms, including the function of predictive (forecast) analytics. It is noted that the departure of foreign vendors motivated Russian developers to quickly approach the issue of import substitution, and in 2022 a number of domestic companies presented their developments with the functionality of predictive analytics.