| Autor: |
Chen Jun, Wang Zengwu, Yu Liang, Bin Xiao, Xingyu Tao, Gongyan Chen, Chu Yongbin, Jinbao Liu |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). |
| DOI: |
10.1109/ipec51340.2021.9421179 |
| Popis: |
Based on Beidou satellite navigation and communication technology, this paper develops a monitoring and early warning system for geological disaster mass survey and prevention, aiming at the problems of great harminess and difficulty in monitoring geological disasters in Linzhi. The whole system is constructed using B/S architecture. The server is developed by Asp.Net language, the client is developed by HTML5, CSS, JavaScript and other technologies. The data transmission between the client and server is realized by Ajax technology. The client includes two parts: web-end and app-end, which are respectively developed by layui and uniapp framework. The app-end determines the disaster location and reports the scene pictures based on the Beidou satellite navigation technology (BDS), and then transmits the collected disaster data to the platform with the help of the 4G or 5G network. The administrator pushes the reviewed disaster information to the public through the audit and intelligent analysis of the disaster data. This system has been tested in Linzhi, and the results show the system can effectively assist the mass survey and prevention work. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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