| Popis: |
In order to cope with the safety hazards in the long-term operation of the steel structure of platform canopy in advance and reduce maintenance cost of the platform canopy, a health monitoring system is developed in this research. With the in-depth study on the health monitoring system of steel structure for railway platform canopy in active service, the efficiency of BIM model loading process is a key problem for further utilization. As the size of the data increases continuously, the performance of the system decrease tremendously. In the system proposed by this research, BIM model data is stored in the external database in advance, which can greatly reduce the loading time of BIM model by adopting optimistic method. In addition, when the health system monitoring is running, users can interact with external databases at the same time. Based on the size of the query data volume and the frequency of repeated use of the data volume data query operation and data storage space are deeply optimized. In order to avoiding unpacking and boxing during the operation, the data is sorted and saved with a novel efficient pattern. Through the design and optimization of the system, lightweight network communication of the health monitoring systems is realized, and furthermore, the safety and stability of the system are also guaranteed. This research provides a new idea to improve the overall performance of a railway canopy monitoring system. |
