Heat loss monitoring of multi-story buildings using multi-agent approach

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dc.contributor.authorSimakova, I.
dc.date.accessioned2020-08-26T09:41:49Z
dc.date.available2020-08-26T09:41:49Z
dc.date.issued2020
dc.descriptionSimakova I. Heat loss monitoring of multi-story buildings using multi-agent approach / I. Simakova ; supervisor I. Burlachenko // Black Sea Science 2020 : рroc. of the Intern. Competition of Student Scientific Works. Information Technology, Automation and Robotics / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2020. – P. 276–285 : fig. – Ref.: 12 tit.ru_RU
dc.description.abstractIn this paper, the problem of developing a multi-agent method for detecting the places of heat energy leaks on the multi-story buildings using machine learning is solved. Efficient data processing of scanning areas for the heat energy leak monitoring was achieved using the multi-agent monitoring system (MAMS) that can perform calculations in the cloud conditionally. Features of the monitoring system with the integration of an analytical model for presenting a heat loss map with an account of multiple autonomous separated UAV’s for temperature measurements were contained. The MAMS reliability of the synchronization model between simultaneous localization and mapping method and generated heat loss map based on temperature measurements was confirmed. It has been experimentally proven that theoretical assumptions and accuracy for experimental usage during the multi-story building leaks analysis are sufficient.The recognition time of markers of the front of the building is in the range from 0 to 27 s. In this case, with the proposed model CNN, the CPU load during the execution of tasks did not exceed 26%.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/14494
dc.language.isoenru_RU
dc.subjectheat loss mappingru_RU
dc.subjectheat leak detectionru_RU
dc.subjectmachine learningru_RU
dc.subjectmulti-agent systemru_RU
dc.subjectGPSru_RU
dc.subjectpyrometerru_RU
dc.subjectUAVru_RU
dc.subjectMAMSru_RU
dc.titleHeat loss monitoring of multi-story buildings using multi-agent approachru_RU
dc.typeArticleru_RU
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