Technical framework of energy-saving construction management of intelligent building based on computer vision algorithm

Author:

Ma Weini1

Affiliation:

1. Henan Institute of Economics and Trade

Abstract

Abstract At present, China's urbanization transformation is accelerating, the construction industry is developing rapidly, and people's requirements for buildings are also increasing, which leads to the increasing energy consumption. Therefore, energy-saving construction in the construction industry is imminent. During the actual life cycle of a building project, including planning, design, construction and later operation and maintenance, energy consumption will be generated in the above processes. Based on this background, this research realized the design of intelligent building management and information system for energy conservation projects by introducing computer vision algorithm. The system is integrated with laws and regulations, economic benefits, technical steps, quality management, cost management, schedule management and other modules. The design process is relatively complex. Therefore, this work adopts modern computer vision algorithm technology and uses relevant tools to collect, store Analyze a large amount of information in each stage of energy-saving project management process, and realize information management from project approval, design, drawing review, construction to acceptance. Finally, build system interface layer, system function layer, and database support layer. The system measurement shows that the building energy consumption can be predicted easily, accurately and stably by inputting the energy consumption data collected by each part of the target building. The system realizes the combination of qualitative and quantitative research on energy conservation regulation, and improves the informatization level of China's energy conservation research and construction. This paper designs a kind of intelligent building energy saving management system by studying computer vision algorithm.

Publisher

Research Square Platform LLC

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