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Examines intelligent information technology's impact on construction waste management, suggesting improved resource utilization.
This article examines the potential for enhancing the efficiency of inventory management and utilization ofconstruction and demolition waste to create and apply secondary resources during the reconstruction ofdamaged infrastructure, including objects destroyed by war. This is achieved through the development of anintelligent information technology (IIT). The urgency of addressing this issue is underscored by the fact thatlarge-scale reconstruction of damaged infrastructure demands significant expenditures of domestic andinvestment-based primary resources. Given the inevitable scarcity of these resources, the development of asecondary raw material market and the ability to extract valuable materials from waste streams for effectivereuse become critically important. An analysis of European colleagues' experiences in effectivelyimplementing a circular economy business model to address the limitations of primary resource utilizationhighlights the necessity of developing IIT for construction and demolition (C&D) waste inventory andutilization. Prior developer experience indicates that IIT can be implemented as a geoinformation system(GIS), enabling the identification of infrastructure objects through a knowledge base. The developed GISknowledge base contains spatial and attribute data that align with the requirements of the circular economybusiness model, forming the foundation for a conceptual object inventory system. The intelligent componentof the IIT is based on the use of large language models to analyze images of waste generation sites (Sources).This analysis involves interpreting visual cues, classifying types of construction materials, and providing anapproximate volume assessment. The article also presents solutions for the preliminary classification ofwaste reception centers (Sinks) based on attribute and geospatial data, along with the development of aninteractive Sinks-Sources map and the determination of efficient routes for transporting C&D waste tofacilitate the creation of secondary resources.
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Иванов et al. (2025) studied this question.
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