Intelligent building integrated cabling control system based on physical isolation under big data technology

Abstract

In order to implement a comprehensive wiring control system for intelligent buildings, the author proposes a method based on physical isolation under big data technology. Taking the path planning of the comprehensive wiring system as the research object, the dual objective planning of the common path and the shortest path in the wiring path is carried out to meet different construction needs in different situations. Firstly, the Integer programming model of generic cabling decision-making is given, and a new generic cabling optimization algorithm is constructed using genetic algorithm for the design and research of generic cabling path planning. On the basis of genetic algorithm, the coordination of common path and shortest path is achieved through weighted combination, among them, the longer the public path, the more time is saved, while the shorter the shortest path, the more cost is saved. The experimental results show that, based on the improvement of the mathematical model and the formation of the system architecture, the weights of Objective 1 and Objective 2 are allocated according to the design requirements, and system testing is conducted to verify the final effect. Modify the weight parameters to 0.01, 0.3, 0.5, 0.7, and 0.99, respectively, the path optimization system can meet the predetermined requirements, and an intuitive and effective path layout diagram can be generated based on the weight allocation of construction period and cost, the Pareto diagram also proves that its actual effect can meet the needs of actual engineering. It has been proven that physical isolation based on big data technology can achieve intelligent building comprehensive wiring control systems.

Keywords

• Big data
• Physical isolation
• Intelligent buildings
• Wiring control system