International Journal of Advanced Information and Communication Technology


Application of Data Mining Technology under K-means Algorithm Combined with BIM Technology in Management Engineering

Jun Wang and Zhan Chen, School of Computer Science and Engineering, South China University of Technology, China.

International Journal of Advanced Information and Communication Technology

Received On : April 25, 2020

Revised On : July 28, 2020

Accepted On : August 20, 2020

Published On : September 05, 2020

Volume 07, Issue 09

Pages : 141-147

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.

Keywords


K-Means Algorithm; BIM; Facility Management.

Cite this article


Jun Wang and Zhan Chen, “Application of Data Mining Technology under K-means Algorithm Combined with BIM Technology in Management Engineering, ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 141-147, September. 2020.

Copyright


© 2020 Jun Wang and Zhan Chen. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.