Published since 1923
DOI: 10.33622/0869-7019
Russian Science Citation Index (RSCI) на платформе Web of Science
  • Adaptive Digitization Of Sensor Signals In Building Systems
  • UDC 699.8:004
    doi: 10.33622/0869-7019.2022.10.70-76
    Alexander I. KONIKOV,
    Moscow State University of Civil Engineering (National Research University), Yaroslavskoe shosse, 26, Moscow 129337, Russian Federation
    Abstract. In automated building systems (systems for monitoring the technical condition of buildings and structures, systems for the technical operation of buildings, etc.), it is necessary to process signals from pressure, temperature sensors, etc. When designing such systems, the main attention is paid to the transfer of information from sensors (including wireless channels), as well as the problems of further digital processing using modern IT technologies: cloud and edge computing, intelligent technologies, etc. Issues related to the primary receipt of information - sensors and methods of their digitization are clearly not given enough attention. Meanwhile, competent solutions in this area can significantly improve the quality of the entire automated system as a whole. Recently, an effective toolkit has appeared that makes it possible to solve this problem - Digital Twin technology. The purpose of this work is to investigate the possibility of improving the efficiency of an automated system through the adaptive digitization of sensor signals when using Digital Twin technology as a toolkit.
    Keywords: construction, automated systems, sensors, analog-to-digital converter, digital twin
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  • For citation: Konikov A. I. Adaptive Digitization of Sensor Signals in Building Systems. Promyshlennoe i grazhdanskoe stroitel'stvo [Industrial and Civil Engineering], 2022, no. 10, pp. 70-76. (In Russ.). doi: 10.33622/0869-7019.2022.10.70-76