Abstract

The possibility of digitalization of housing and communal services is mathematically considered using the example of apartment buildings. The approaches discussed in the paper can be used in the construction of new apartment complexes, as well as in the overhaul of the existing housing stock. In addition, the applied approaches can be easily adapted for use in office buildings and business centers.

Highlights

  • Improving the quality of service and transparency in the provision of communal services is one of the key tasks of reforming the housing and communal services system

  • We are talking about improving the energy efficiency of end users [1,2,3,4,5,6]

  • Digitization of housing and communal services involves the introduction of applied technologies to automate various processes: forecasting and modeling; accounting for resource consumption; allocation of resources for overhaul, etc

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Summary

Introduction

Improving the quality of service and transparency in the provision of communal services is one of the key tasks of reforming the housing and communal services system. The goal of the national project “HOUSING AND URBAN ENVIRONMENT” is to provide affordable housing and improve the comfort of the urban environment, and a digital transformation and automation of processes, comprehensive improvement of the efficiency of urban infrastructure. We are talking about improving the energy efficiency of end users [1,2,3,4,5,6]. Digitization of housing and communal services involves the introduction of applied technologies to automate various processes: forecasting and modeling; accounting for resource consumption; allocation of resources for overhaul, etc. Let us consider one of the approaches to forecasting, modeling and accounting for resource consumption using the example of apartment buildings. A mathematical model for calculating individual heat consumption in a building containing a large number of rooms is proposed and investigated

Mathematical model
Measurement number
Hardware for the implementation of the proposed mathematical model
Algorithm for calculating the individual consumption of heat energy
Conclusion
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