Research on Data Processing and Communication Model of Intelligent Building Environment Monitoring System

This paper proposes a data processing and communication model of intelligent building environment monitoring system based on dynamic network routing algorithm, aiming to improve the real-time and reliability of data transmission. The system collects key data such as temperature, humidity, and air quality in the building environment in real time through the sensor network, and uses the dynamic network routing algorithm to efficiently transmit and process the data, to achieve accurate feedback and optimized management of monitoring information. The dynamicity and complexity in the multi-node environment are fully considered, and the optimal selection of different transmission paths is made to reduce the system delay and improve the stability of data transmission. At the same time, a data communication model simulation platform is established, and the various performance indicators of the algorithm are comprehensively evaluated. The simulation results show that the dynamic network routing algorithm designed in this paper has high accuracy and response speed in complex building environments, significantly reduces data delay compared with traditional methods, and has better performance in data packet loss rate and energy consumption. This study provides a reliable data transmission solution for the intelligent building environment monitoring system and provides effective support for the realization of intelligent management.