Abstract
The data mining technology of the K-means algorithm combined with BIM (Building Information Modeling) technology is applied to management engineering, which is convenient for project management personnel. Method: The K-means clustering algorithm is combined with the support vector machine algorithm. The support vector machine is used to ensure the high accuracy of the anomaly detection algorithm. The K-means clustering algorithm is used to divide the support vector machine into blocks. It also analyzes the different needs of the facility management staff, and clearly defines the content and level of detail required to build the BIM model. It not only meets the data requirements for operation and maintenance but also avoids waste caused by excessive modeling. Result: Compared with traditional support vector machines, the improved algorithm in this paper has a higher detection rate and lower false alarm rate. Also, it can shorten the detection time of large-scale data to provide an effective method for abnormal detection of sensor networks and processing of large-scale data sets. The improved method increases the detection accuracy by 8.13% and decreases the false alarm rate by 89.08%. In terms of detection time, the improved method increases by 3.82s, which is 4.67 times the traditional method. Conclusion: The structural health monitoring system can efficiently and accurately monitor the accuracy of the data. BIM can provide rich operation and maintenance data for facility management to effectively improve the efficiency of facility management.
Highlights
With the vigorous development of China’s economy and science in recent years, the construction industry is changing with the development of society
The support vector machine is used to ensure the high accuracy of the anomaly detection algorithm
In the operation and maintenance phase of a construction project, it needs the operation and maintenance data for facility management and the data generated during the design and construction phases [2]
Summary
With the vigorous development of China’s economy and science in recent years, the construction industry is changing with the development of society. More and more builders have applied BIM technology to the entire life cycle of construction. The operation and maintenance phase is the longest phase in the entire life cycle of construction. In the operation and maintenance phase of a construction project, it needs the operation and maintenance data for facility management and the data generated during the design and construction phases [2]. The phase has high requirements for the integrity and accuracy of operation and maintenance data in facility management. Because the collection of operation and maintenance data in facility management involves the construction unit, the survey and design unit as well as the operation and maintenance team itself. The management efficiency is low and the level is backward [3]
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