Researching open source WebGIS technology in building software to support optimal search and rescue equipment

Abstract

Securing combat equipment for urgent special missions, such as rescue, fire protection, chemical prevention, and military operations, is crucial in technical logistics. Rapid preparation and mobilisation of forces in response to the reality of the tasks are essential. A software system that stores a complete database of equipment, human resources, and navigation maps is required. This article explores the application of Open Source WebGIS technologies, such as Geoserver, PostGIS, OpenLayer, GraphHopper, and Python, in experimentally building management software for searching equipment, units, and navigation. It supports decision-making by allowing users to select the optimal response plan based on digital maps. The software integrates spatial analysis and routing techniques to locate units with suitable equipment, either nearest or within a specified radius. Users can thereby determine the optimal route from the selected unit to the mobilisation site. Testing with fire prevention data in Hanoi city showed that the search results for the optimal route are precisely equivalent to those provided by current Google Maps. This research has initially mastered data and technology to proactively update and manage data in areas lacking industry-specific information that existing software does not cover.

Keywords

• decision support
• equipment
• search and rescue
• spatial analysis
• WebGIS