GIS-based intelligent rural gridding fire-fighting management method and system, and electronic equipment

Abstract

The invention relates to a GIS-based intelligent country gridding fire-fighting management method and system, and electronic equipment. The method comprises the steps: dividing a village and town region, a farmland region and a forest field region into independent grids according to a country GIS map, dividing each grid into a plurality of unit grids, and vectorizing the unit grids; collecting sensing data uploaded by a front-end collection device arranged in each unit grid; abnormal event information is determined according to analysis and comparison of the current sensing data, and the abnormal event information comprises an abnormal event name, an abnormal event level and an abnormal event position; and outputting a fire-fighting decision according to the abnormal event information, thefire-fighting decision comprising whether to give an alarm, an alarm team, fire-fighting equipment configuration and a fire-fighting path. According to the method, fire-fighting supervision can be conveniently carried out on rural areas, and relatively effective decisions can be conveniently provided for fire-fighting management.

Description

technical field [0001] This application relates to the field of fire management technology, in particular to a GIS-based smart village grid fire management method, system and electronic equipment. Background technique [0002] With the rise of smart cities, the construction of smart villages has increasingly become an important part of current development. Among them, the management of fire protection in rural areas is the top priority of urban construction. Villages include not only villages and towns, but also fields and forest farms. Due to the lack of effective management, various abnormal events occur every year, such as field fires and forest farm fires, which have caused great loss of life and property to the people. [0003] The traditional human monitoring method is limited by human management, and cannot accurately provide effective decision-making for fire management, resulting in late discovery of fire anomalies, insufficient fire preparations for fires, and lat...

AI Technical Summary

Problems solved by technology

[0003] The traditional human monitoring method is limited by human management, and cannot provide effective decision-making for fire management more accurately, resulting in late discovery of fire anomalies, insufficient fire protection preparations for fires, and late arrival at the event location, etc.

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