Design and implementation of scenic area information management system based on WebGIS

Jiaying Zhu; Shuangyun Peng; Dequan Xu; Yuqian Yang

doi:10.1117/12.3010330

20 October 2023 Design and implementation of scenic area information management system based on WebGIS

Jiaying Zhu, Shuangyun Peng, Dequan Xu, Yuqian Yang

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128141Y (2023) https://doi.org/10.1117/12.3010330
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

Location-based map services are developing rapidly, and detailed scenic area information has important reference value for tourists. However, it is difficult to obtain scenic area information and the information obtained is not detailed and accurate, and the overexploitation of scenic areas has led to the lack of attention to the precious natural resources of scenic areas. This system collects the basic information resources and basic geographic information resources of scenic areas, selects the development scheme of the system from the perspective of users, and realizes the specific module development of scenic area management system with WebGIS technology OpenLayers, PostgreSQL and Vue framework. Design the database through E-R diagram and database table, and build the overall system architecture and various functional module design to realize the integration, management, query and analysis of scenic area information. Then, taking the Baili Cuckoo Scenic Area as the test and research area data, the system module was tested and improved, and the results showed that the system basically met the expectations and operated stably.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaying Zhu, Shuangyun Peng, Dequan Xu, and Yuqian Yang "Design and implementation of scenic area information management system based on WebGIS", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128141Y (20 October 2023); https://doi.org/10.1117/12.3010330

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