Design and Application of Intelligent Building Environment Monitoring System Based on Wireless Sensor Network

With the development of intelligent building technology, environmental monitoring systems are playing an increasingly important role in the field of construction. However, the current existing systems still have shortcomings in terms of data transmission efficiency and energy consumption management. To effectively promote the technological upgrading and application promotion of building environment monitoring, wireless sensor networks are applied to environmental monitoring systems to improve the informatization level of intelligent buildings. Based on the low-power adaptive clustering routing algorithm, an improved algorithm is proposed to solve the high energy consumption and uneven distribution of cluster heads. According to the results, the monitoring area was 300×300m, the cluster heads of the improved algorithm were relatively evenly distributed in various regions. At 261 rounds, the surviving nodes in the improved algorithm decreased. As time increased, the surviving nodes in the improved algorithm increased. The energy use speed of the improved algorithm was the slowest. Because it changed the conditions for the low-power adaptive clustering routing algorithm to re-select cluster heads and clustering methods, it reduced the energy consumption during cluster formation. The improved algorithm could better reduce energy use and extend network lifespan. The actual and predicted values of the building environment detected by the improved system almost overlapped, indicating that the temperature monitoring accuracy of the system was high, reaching 98.6%. The robustness is significantly enhanced. This system can monitor the internal environment of buildings in real time, optimize energy allocation and rational utilization, monitor equipment energy consumption, ensure the reliability of electrical equipment operation, and improve energy utilization efficiency. This provides a new reference direction for environmental monitoring work. © 2024 Slovene Society Informatika. All rights reserved.