CN-115468558-B - Patrol route planning method and system based on intelligent base station of gridding forest land

CN115468558BCN 115468558 BCN115468558 BCN 115468558BCN-115468558-B

Abstract

The application relates to a patrol route planning method and system based on intelligent base stations of a grid forest land, and belongs to the technical field of patrol of the forest land of a plain, wherein the route planning method comprises the steps of respectively obtaining weather information and position information of all patrol points in the forest land of the plain, wherein all the patrol points are provided with corresponding intelligent base stations, sensors for obtaining the weather information in real time are arranged in the intelligent base stations, fire indexes corresponding to all the patrol points are calculated according to the weather information of all the patrol points based on preset calculation rules, the patrol priority corresponding to all the patrol points is determined according to the fire indexes corresponding to all the patrol points, and a corresponding patrol route is generated according to the position information of all the patrol points based on the patrol priority corresponding to all the patrol points. The application has the effect of improving the safety.

Inventors

YANG HAILE
GAO LIGANG

Assignees

北京百瑞盛田环保科技发展有限公司
北京百瑞盛田环保科技发展有限公司

Dates

Publication Date: 20260421
Application Date: 20220906
Priority Date: 20220906

Claims (7)

1. A patrol route planning method based on a intelligent base station of a gridding forest land is characterized by comprising the following steps of, The method comprises the steps of respectively acquiring weather information and position information of each inspection point in a plain forest land, wherein each inspection point is provided with a corresponding intelligent base station, and a sensor for acquiring the weather information in real time is arranged in each intelligent base station; Based on a preset calculation rule, respectively calculating fire risk indexes corresponding to all the inspection points according to weather information of all the inspection points, respectively judging whether the fire risk indexes corresponding to all the inspection points are larger than a preset index threshold value, if so, sending fire risk early warning information to an intelligent base station corresponding to the inspection points, and if not, determining corresponding preset inspection frequency according to the fire risk indexes corresponding to all the inspection points based on a preset mapping relation, wherein the preset mapping relation comprises a plurality of groups of corresponding relation between index intervals and preset inspection frequency, and each index interval corresponds to one preset inspection frequency; Determining the patrol priority corresponding to each patrol point according to the fire risk index corresponding to each patrol point; based on the corresponding patrol priority of each patrol point, generating a corresponding patrol route according to the position information of each patrol point; Respectively acquiring current position information of each patrol terminal; According to the position information corresponding to the patrol point with the highest patrol priority, respectively calculating the distance between each patrol terminal and the patrol point with the highest patrol priority; Generating patrol task information according to the patrol route; and sending the patrol task information to a patrol terminal closest to the patrol point with the highest patrol priority.
2. The method for patrol route planning based on intelligent base station of grid forest land according to claim 1, wherein the meteorological information comprises temperature value, wind speed value, humidity value and precipitation amount.
3. A patrol route planning method based on intelligent base station of gridding woodland according to claim 2, wherein said preset calculation rule comprises, Wherein, FFI is a fire risk index, T is a temperature value, T max is a preset temperature maximum value, W 1 is a preset temperature weight value, V is a wind speed value, V max is a preset wind speed maximum value, W 2 is a preset wind speed weight value, H is a humidity value, H min is a preset humidity minimum value, W 3 is a preset humidity weight value, P is precipitation, P min is a preset precipitation minimum value, and W 4 is a preset precipitation weight value.
4. The method for planning a patrol route based on a intelligent base station for a greenfield as set forth in claim 1, wherein the step of determining the patrol priority corresponding to each patrol point according to the fire risk index corresponding to each patrol point comprises, And sequencing according to the fire risk indexes corresponding to the inspection points to obtain the inspection priority corresponding to the inspection points, wherein the higher the fire risk index of the inspection point is, the higher the corresponding inspection priority is.
5. A system for performing the method for patrol route planning based on intelligent base station for a greenfield as set forth in any one of claims 1 to 4, characterized in that it comprises, The information acquisition module (101) is used for respectively acquiring the meteorological information and the position information of each inspection point in the plain forest land, wherein each inspection point is provided with a corresponding intelligent base station, and a sensor for acquiring the meteorological information in real time is arranged in each intelligent base station; the fire risk index calculation module (102) is used for calculating fire risk indexes corresponding to all the inspection points according to the meteorological information of all the inspection points based on a preset calculation rule; the patrol priority generation module (103) is used for determining the patrol priority corresponding to each patrol point according to the fire risk index corresponding to each patrol point; the patrol route generation module (104) is used for generating a corresponding patrol route according to the position information of each patrol point based on the patrol priority corresponding to each patrol point; A current position information acquisition module for respectively acquiring the current position information of each patrol terminal, The distance calculation module is used for calculating the distance between each patrol terminal and the patrol point with the highest patrol priority according to the position information corresponding to the patrol point with the highest patrol priority; the patrol task information generation module is used for generating patrol task information according to the patrol route; And the patrol task information sending module is used for sending the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1 to 4 when the program is executed.
7. A computer-readable storage medium, characterized in that a computer program is stored that can be loaded by a processor and that performs the method according to any one of claims 1 to 4.

Description

Patrol route planning method and system based on intelligent base station of gridding forest land Technical Field The application relates to the technical field of plain woodland inspection, in particular to an inspection route planning method and system based on a intelligent base station of a gridding woodland. Background At present, the plain forest land has the characteristics of dense trees, narrow roads and the like, common fire-fighting vehicles are difficult to enter and have a long distance, and when a fire disaster occurs, the fire-fighting vehicles have the problems of difficult external dispatching and slow response. Therefore, in order to suppress the occurrence of fire accidents of the plain forest, the plain forest to be monitored is generally divided into a plurality of inspection areas according to a space gridding division mode, each inspection area is an inspection point, and inspection and maintenance are sequentially carried out on each inspection point in the plain forest according to an inspection route at regular or irregular intervals to eliminate hidden danger, so that life and property threats of the fire of the plain forest to people around the forest land are reduced, and social stability is maintained. Aiming at the related technology, the inventor finds that at least the following problems exist in the related technology, because the number of the patrol points in the forest land is large and hidden danger situations of different patrol points are different, the patrol route is inconvenient to plan according to the actual situation of each patrol point when the patrol is carried out, and therefore, the occurrence of fire accidents of the plain forest can be possibly caused by the fact that part of the patrol points are not patrol timely, and the safety is reduced. Disclosure of Invention In order to improve safety, the application provides a patrol route planning method and system based on a intelligent base station of a gridded forest. In a first aspect, the present application provides a method for planning a patrol route based on a intelligent base station of a gridded forest, which adopts the following technical scheme: A patrol route planning method based on a intelligent base station of a gridding forest land, which comprises the following steps of, The method comprises the steps of respectively acquiring weather information and position information of each inspection point in a plain forest land, wherein each inspection point is provided with a corresponding intelligent base station, and a sensor for acquiring the weather information in real time is arranged in each intelligent base station; based on a preset calculation rule, respectively calculating fire risk indexes corresponding to all the inspection points according to the meteorological information of all the inspection points; Determining the patrol priority corresponding to each patrol point according to the fire risk index corresponding to each patrol point; And generating corresponding patrol routes according to the position information of each patrol point based on the patrol priority corresponding to each patrol point. By adopting the technical scheme, according to the weather information of each inspection point, the fire risk index corresponding to each inspection point is calculated based on the preset calculation rule, and the larger the fire risk index is, the more easily the fire disaster happens to the inspection point, so that the inspection priority corresponding to each inspection point can be determined according to the size of the fire risk index corresponding to each inspection point, and the corresponding inspection route can be generated based on the inspection priority and the position information of each inspection point, thereby being convenient for reasonably planning the inspection route according to the actual condition of each inspection point, avoiding the condition that the fire accident of the plain forest occurs due to the untimely inspection of part of inspection points to a certain extent, and improving the safety. Optionally, the weather information includes a temperature value, a wind speed value, a humidity value, and a precipitation amount. By adopting the technical scheme, because the fire disaster is closely related to the meteorological conditions, the ignition points of various combustible materials are dependent on the change conditions of the meteorological conditions, such as the air temperature, the humidity, the precipitation amount, the wind power strength and the like, so that the temperature value, the wind speed value, the humidity value and the precipitation amount of each inspection point are collected, the weather conditions of each inspection point can be conveniently and truly known, and comprehensive judgment of fire risks is facilitated. Optionally, the preset calculation rule includes, Wherein, FFI is a fire risk index, T is a temperature value, T max is a