Ways of integrating technical supervision into the building information modeling environment for the transition to automated scientific and technical support

Abstract

The integration of technical supervision into the Building Information Modeling (BIM) environment represents a key direction in transforming construction project management systems under conditions of industry digitalization. Modern approaches to organizing construction production require increased transparency, efficiency, and reliability of quality control, which necessitates the transition to automated forms of scientific and technical support. In this context, BIM technologies create the prerequisites for integrating technical supervision into a unified digital information environment, ensuring continuous data exchange among all participants in the construction process.

The essence of technical supervision is considered as a component of the system of quality control and management in construction, aimed at ensuring compliance of executed works with design solutions, regulatory requirements, and standards. It is determined that traditional methods of technical supervision have limited effectiveness due to fragmented information, delays in data processing, and the lack of integrated digital tools. The implementation of BIM makes it possible to overcome these limitations by creating a unified information space in which data on the condition of the construction object is updated in real time.

The directions of integrating technical supervision into the BIM environment are substantiated, including: the use of digital models to verify the compliance of completed works with design parameters; the application of automated monitoring and deviation analysis tools; the implementation of data collection and processing systems based on sensor technologies; and the integration of information and analytical platforms to support managerial decision-making. Particular attention is paid to the use of automated verification algorithms, digital twins, and cloud services to ensure continuous control of construction processes.

The potential for integrating BIM with automated monitoring systems, the Internet of Things (IoT), and big data analytics tools is also of significant importance, enabling continuous tracking of construction process parameters in real time. This creates the basis for implementing preventive control, which relies on forecasting potential deviations and timely response to them.