Construction of Intelligent Building Automation Control System Based on Fuzzy Clustering Algorithm

With the vigorous development of the construction industry, the market demand for automatic control systems is increasing, and it has attracted domestic and foreign automation system manufacturers to continuously improve the software for computer control management, emphasizing the humanized use of interfaces, and ensuring the orderly use of building machinery and fire protection, security, and parking management. In this regard, this article constructs an intelligent building automation control system based on fuzzy clustering algorithm, which can effectively improve the intelligence and prevention level of buildings. The intelligent building equipment automation control system utilizes modern scientific technologies such as communication technology, computer network technology, and intelligent monitoring technology. It uses hierarchical clustering to obtain the initial number of clusters from offline data, and then performs fuzzy clustering on incremental data. However, there is a problem of needing to set parameters to identify outlier samples. Comparative experiments have been conducted to verify the time for receiving control instructions between the traditional system and the system in this paper. The average receiving time of the traditional system is 18.95 seconds, while the average receiving time of the system in this paper is 12.75 seconds, which shortens the receiving time of control instructions by 6.2 seconds compared to the traditional system. The above experimental results once again validate the effectiveness of the system in this paper.