| Title | Research on the Application of Computer Big Data Technology in the Health Monitoring of the Bridge Body of Cross-river Bridge |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Yang, Di, Wang, Lianfa, Zhang, Yufeng |
| Conference Name | 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) |
| Keywords | Analytical models, Big Data, bridge body health monitoring system, Bridges, Computational modeling, computer, cross-river bridge, data deletion, Distributed databases, Ports (Computers), pubcrawl, Real-time Systems, Scalability |
| Abstract | This article proposes a health monitoring system platform for cross-river bridges based on big data. The system can realize regionalized bridge operation and maintenance management. The system has functions such as registration modification and deletion of sensor equipment, user registration modification and deletion, real-time display and storage of sensor monitoring data, and evaluation and early warning of bridge structure safety. The sensor is connected to the lower computer through the serial port, analog signal, fiber grating signal, etc. The lower computer converts a variety of signals into digital signals through the single-chip A/D sampling and demodulator, etc., and transmits it to the upper computer through the serial port. The upper computer uses ARMCortex-A9 Run the main program to realize multi-threaded network communication. The system platform is to test the validity of the model, and a variety of model verification methods are used for evaluation to ensure the reliability of the big data analysis method. |
| DOI | 10.1109/IPEC54454.2022.9777364 |
| Citation Key | yang_research_2022 |
Research on the Application of Computer Big Data Technology in the Health Monitoring of the Bridge Body of Cross-river Bridge