A grid-based forest intelligent base station-based patrol route planning method and system

Abstract

The application discloses a kind of based on the intelligent base station of gridding forest and a kind of route planning method and system of patrolling.It is described as follows:The method includes: respectively obtaining meteorological information and position information of each patrol point in plain forest;Based on pre-design calculation rules, the fire risk index corresponding to each patrol point is calculated according to the meteorological information of each patrol point, and the patrol priority corresponding to each patrol point is determined accordingly;Based on the patrol priority and position information corresponding to each patrol point, the corresponding patrol route is generated.On this basis, the current position information of each patrol terminal is obtained, the distance between each patrol terminal and the patrol point with the highest patrol priority is calculated according to the position information of the patrol point;Finally, the patrol task information generated according to the patrol route is sent to the patrol terminal closest to the patrol point with the highest patrol priority.The application can reasonably plan the route according to the fire risk and dispatch the nearest patrol force, improve the patrol efficiency and safety.

Description

[0001] The original basis for this divisional application is patent application No. 202211082079.8, filed on September 6, 2022, entitled "A patrol route planning method and system based on gridded forest land intelligent base station". Technical Field

[0002] This application relates to the field of plain forest patrol technology, and in particular to a patrol route planning method and system based on gridded intelligent forest base stations. Background Technology

[0003] Currently, plain forest areas are characterized by dense trees and narrow roads, making it difficult for ordinary fire trucks to access them due to the considerable distances involved. This results in difficulties in external dispatch and slow response times during fires. Therefore, to curb plain forest fires, the monitored plain forest areas are typically divided into multiple patrol zones using a spatial grid system. Each patrol zone serves as a patrol point. Regular or irregular patrols and maintenance are conducted at each patrol point within the plain forest area, following designated routes, to eliminate potential hazards and reduce the threat of plain forest fires to the lives and property of people living around the forest area, thus maintaining social stability.

[0004] Regarding the aforementioned technologies, the inventors have discovered at least the following problems: Due to the large number of patrol points in the forest area and the varying potential hazards at different patrol points, it is inconvenient to plan patrol routes based on the actual conditions of each patrol point during patrols. This may lead to untimely patrols at some patrol points, resulting in forest fires in the plains and reducing safety. Summary of the Invention

[0005] To improve security, this application provides a patrol route planning method and system based on gridded forest smart base stations.

[0006] Firstly, this application provides a patrol route planning method based on gridded forest land smart base stations, employing the following technical solution: A patrol route planning method based on gridded forest land smart base stations, the method includes: acquiring meteorological and location information of each patrol point in the plain forest land; wherein each patrol point is equipped with a corresponding smart base station, and the smart base station is equipped with a sensor for acquiring the meteorological information in real time; and calculating the fire risk index corresponding to each patrol point based on the meteorological information of each patrol point according to preset calculation rules. Based on the fire risk index corresponding to each patrol point, the patrol priority corresponding to each patrol point is determined; based on the patrol priority corresponding to each patrol point, a corresponding patrol route is generated according to the location information of each patrol point.

[0007] By adopting the above technical solution, the fire risk index corresponding to each patrol point is calculated based on the meteorological information of each patrol point and the preset calculation rules. The higher the fire risk index, the more likely the patrol point is to experience a fire. Therefore, the patrol priority of each patrol point can be determined based on the size of the fire risk index. Based on the patrol priority and the location information of each patrol point, the corresponding patrol route can be generated. This facilitates the rational planning of patrol routes according to the actual situation of each patrol point, and to a certain extent avoids the occurrence of forest fire accidents in plains due to untimely patrols of some patrol points, thus improving safety.

[0008] Optionally, the meteorological information includes temperature, wind speed, humidity, and precipitation.

[0009] By adopting the above technical solutions, since the occurrence of fires is closely related to meteorological conditions, the ignition point of various combustibles often depends on changes in meteorological conditions, such as temperature, humidity, precipitation, and wind strength. Therefore, by collecting temperature, wind speed, humidity, and precipitation data at each patrol point, it is easier to understand the meteorological conditions at each patrol point and to make a comprehensive assessment of fire risks.

[0010] Optionally, the preset calculation rules include, ; Wherein, FFI is the fire risk index, T is the temperature value, Tmax is the preset maximum temperature value, W1 is the preset temperature weight value, V is the wind speed value, Vmax is the preset maximum wind speed value, W2 is the preset wind speed weight value, H is the humidity value, Hmin is the preset minimum humidity value, W3 is the preset humidity weight value, P is the precipitation, Pmin is the preset minimum precipitation value, and W4 is the preset precipitation weight value.

[0011] By adopting the above technical solution, in the process of calculating the fire risk index, thresholds and corresponding weight values ​​of various types of meteorological information are pre-set according to the actual situation of each patrol point. Through unified and standardized index calculation rules, multiple meteorological information are comprehensively evaluated, thereby improving the authenticity and comprehensiveness of the calculation results.

[0012] Optionally, the step of determining the patrol priority of each patrol point based on the fire risk index of each patrol point includes sorting the patrol points according to the fire risk index of each patrol point to obtain the patrol priority of each patrol point; wherein, the higher the fire risk index of the patrol point, the higher the patrol priority.

[0013] By adopting the above technical solution, since a higher fire risk index indicates that the patrol point is more prone to fire, the corresponding patrol priority is also higher. By prioritizing patrol points with high patrol priority, safer and more effective protection of plain forests is achieved.

[0014] Optionally, after the step of calculating the fire risk index corresponding to each patrol point based on the meteorological information of each patrol point, the method further includes determining whether the fire risk index corresponding to each patrol point is greater than a preset index threshold. If so, a fire risk warning message is sent to the smart base station corresponding to the patrol point.

[0015] By adopting the above technical solution, when the fire risk index of a certain inspection point is found to be greater than the preset index threshold, it indicates that the probability of a fire at that inspection point is high. At this time, a fire risk warning message can be sent to notify the base station personnel in the smart base station to rush to the scene in time to eliminate the potential danger, thereby achieving the effect of early prevention.

[0016] Optionally, after the step of determining whether the fire risk index corresponding to each patrol point is greater than a preset index threshold, the method further includes: If not, then based on the preset mapping relationship, the corresponding preset patrol frequency is determined according to the fire risk index corresponding to each patrol point. The preset mapping relationship includes multiple sets of index intervals and preset patrol frequencies, with each index interval corresponding to a preset patrol frequency. Update the current patrol frequency of the patrol point to the preset patrol frequency.

[0017] By adopting the above technical solution, based on the preset mapping relationship, the index range of the patrol point is determined according to the fire risk index corresponding to the patrol point, the preset patrol frequency is determined according to the index range, and the current patrol frequency of the patrol point is updated to the preset patrol frequency, thereby realizing the dynamic adjustment of the patrol frequency of the patrol point, which is convenient to meet the patrol needs of different patrol points and further improves safety.

[0018] Optionally, after the step of generating a corresponding patrol route based on the patrol priority of each patrol point and the location information of each patrol point, the method further includes: Obtain the current location information of each patrol terminal; calculate the distance between each patrol terminal and the patrol point with the highest patrol priority based on the location information of the patrol point with the highest patrol priority; generate patrol task information based on the patrol route; The patrol task information is sent to the patrol terminal that is closest to the patrol point with the highest patrol priority.

[0019] By adopting the above technical solution, multiple patrol personnel are typically assigned during patrols in plain forests. Each patrol personnel is equipped with a corresponding patrol terminal. By obtaining the location information of each patrol terminal, the location of each patrol personnel can be determined. The patrol terminal closest to the patrol point with the highest patrol priority is then identified, and the patrol task information is sent to that terminal. The patrol personnel corresponding to that terminal can then begin patrolling according to the patrol route specified in the patrol task information. This reduces the situation where the current location of the patrol personnel assigned to the patrol route is far from the first patrol point, thus improving patrol efficiency to a certain extent.

[0020] Secondly, this application provides a patrol route planning system based on gridded forest land intelligent base stations, which adopts the following technical solution: A patrol route planning system based on gridded forest land smart base stations includes an information acquisition module for acquiring meteorological and location information of each patrol point in the plain forest land; wherein each patrol point is equipped with a corresponding smart base station, and the smart base station is equipped with a sensor for acquiring the meteorological information in real time; The fire risk index calculation module is used to calculate the fire risk index corresponding to each patrol point based on the meteorological information of each patrol point according to the preset calculation rules. The patrol priority generation module is used to determine the patrol priority of each patrol point based on the fire risk index corresponding to each patrol point. The patrol route generation module is used to generate corresponding patrol routes based on the patrol priority of each patrol point and the location information of each patrol point.

[0021] By adopting the above technical solution, the fire risk index corresponding to each patrol point is calculated based on the meteorological information of each patrol point and the preset calculation rules. The higher the fire risk index, the more likely the patrol point is to experience a fire. Therefore, the patrol priority of each patrol point can be determined based on the size of the fire risk index. Based on the patrol priority and the location information of each patrol point, the corresponding patrol route can be generated. This facilitates the rational planning of patrol routes according to the actual situation of each patrol point, and to a certain extent avoids the occurrence of forest fire accidents in plains due to untimely patrols of some patrol points, thus improving safety.

[0022] Thirdly, this application provides a computer device, which adopts the following technical solution: a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method as described in any one of the first aspects.

[0023] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: a computer-readable storage medium storing a computer program that can be loaded by a processor and executed as in any of the methods in the first aspect.

[0024] In summary, this application includes at least one of the following beneficial technical effects: Based on the meteorological information of each patrol point, the fire risk index corresponding to each patrol point is calculated according to a preset calculation rule. The higher the fire risk index, the more likely the patrol point is to experience a fire. Therefore, based on the magnitude of the fire risk index corresponding to each patrol point, the patrol priority corresponding to each patrol point can be determined. Based on the patrol priority and the location information of each patrol point, the corresponding patrol route can be generated, which facilitates the rational planning of patrol routes according to the actual situation of each patrol point. This avoids, to a certain extent, the occurrence of forest fire accidents in plains due to untimely patrols of some patrol points, and improves safety. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating a patrol route planning method according to one embodiment of this application.

[0026] Figure 2 This is a flowchart illustrating a patrol route planning method according to another embodiment of this application.

[0027] Figure 3 This is a flowchart illustrating a patrol route planning method according to another embodiment of this application.

[0028] Figure 4 This is a structural block diagram of a patrol route planning system according to one embodiment of this application.

[0029] Explanation of reference numerals in the attached diagram: 101, Information Acquisition Module; 102, Fire Risk Index Calculation Module; 103, Patrol Priority Generation Module; 104, Patrol Route Generation Module. Detailed Implementation

[0030] To make the purpose, technical solution, and advantages of this application clearer, the following description is provided in conjunction with the appendix. Figure 1-4 The present application will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the application.

[0031] The protection of plain forest ecosystems has also received more attention. As a natural product of nature, plain forest fires are closely related to meteorological factors in nature, such as high temperatures, drought, and thunderstorms, which can all be potential causes of fires.

[0032] Currently, in the process of fire prevention, patrol personnel are usually required to conduct regular or irregular patrols and maintenance of various patrol points in the plain forest area according to the patrol route. However, due to the large number of patrol points and their wide distribution, how to rationally plan the patrol routes for multiple patrol points and achieve scientific and effective fire prevention in the plain forest has become an urgent issue.

[0033] This application discloses a patrol route planning method based on a gridded smart base station in forest land.

[0034] Reference Figure 1 A patrol route planning method based on gridded forest land smart base stations, the route planning method includes, Step S101: Obtain meteorological and location information for each patrol point in the plain forest area; each patrol point is equipped with a corresponding smart base station, and the smart base station is equipped with a sensor for real-time meteorological information acquisition. The plain forest to be monitored is divided into multiple patrol areas using a spatial grid system. Each patrol area corresponds to a patrol point, the location of which is usually pre-recorded in the system. Each patrol point is equipped with a smart base station containing sensors for real-time meteorological monitoring. By integrating these smart base stations into the system platform and using the sensors as part of an Internet of Things (IoT) system, the system acquires meteorological information from each patrol point, facilitating an understanding of the actual conditions at each point and enabling information-based and digital monitoring and management of the plain forest. Furthermore, due to the vast area of ​​the plain forest, the number of patrol points, their locations, and their geographical extent are all pre-configured based on actual conditions. Step S102: Based on the preset calculation rules, calculate the fire risk index corresponding to each patrol point according to the meteorological information of each patrol point. Among them, the fire risk index can be used to reflect the probability of fire occurrence. The higher the fire risk index, the more likely the patrol point is to experience a fire. Step S103: Determine the patrol priority of each patrol point based on the fire risk index corresponding to each patrol point; Step S104: Generate the corresponding patrol route based on the location information of each patrol point according to the patrol priority of each patrol point. The higher the patrol priority, the earlier the patrol order. The corresponding patrol route can be configured by connecting multiple patrol points in sequence according to their patrol priority.

[0035] In the above implementation, since natural conditions are closely related to the occurrence of fires, the fire risk index corresponding to each patrol point can be calculated based on the meteorological information of each patrol point. Based on the magnitude of the fire risk index corresponding to each patrol point, the patrol priority corresponding to each patrol point can be determined. Based on the patrol priority and the location information of each patrol point, the corresponding patrol route can be generated. The higher the patrol priority, the earlier the patrol order, which facilitates the rational planning of the patrol route according to the actual situation of each patrol point. This avoids, to a certain extent, the situation where some patrol points are not patrolled in time, leading to forest fire accidents in the plains, and improves safety.

[0036] As a method of implementing meteorological information, meteorological information includes temperature, wind speed, humidity, and precipitation. Since the occurrence of fires is closely related to meteorological conditions, the ignition point of various combustibles often depends on changes in meteorological conditions, such as temperature, humidity, precipitation, and wind strength. Therefore, by collecting temperature, wind speed, humidity, and precipitation data at each patrol point, it is possible to accurately understand the meteorological conditions at each patrol point, which is beneficial for a comprehensive assessment of fire risk.

[0037] As one method of acquiring meteorological information at each patrol point, each patrol point's corresponding smart base station is equipped with a temperature sensor, a wind speed sensor, a humidity sensor, and a precipitation sensor. The temperature sensor can be used to collect the temperature value at the patrol point, the wind speed sensor can be used to collect the wind speed value at the patrol point, the humidity sensor can be used to collect the humidity value at the patrol point, and the precipitation sensor can be used to collect the precipitation at the patrol point. It should be noted that the aforementioned temperature, wind speed, humidity, and precipitation values ​​can be real-time detected data values ​​or calculated average values ​​over a preset time period; this embodiment does not impose any limitations.

[0038] As one implementation of the preset calculation rules for step S102, the preset calculation rules include, ; Wherein, FFI is the fire risk index, T is the temperature value, Tmax is the preset maximum temperature value, W1 is the preset temperature weight value, V is the wind speed value, Vmax is the preset maximum wind speed value, W2 is the preset wind speed weight value, H is the humidity value, Hmin is the preset minimum humidity value, W3 is the preset humidity weight value, P is the precipitation, Pmin is the preset minimum precipitation value, and W4 is the preset precipitation weight value.

[0039] In the above implementation method, during the calculation of the fire risk index, thresholds and corresponding weight values ​​for different types of meteorological information are pre-set according to the actual situation of each patrol point. By using a unified and standardized index calculation rule, multiple meteorological information are comprehensively evaluated, thereby improving the authenticity and comprehensiveness of the calculation results.

[0040] It should be noted that when calculating the fire risk index for each patrol point, the weight values ​​for different types of meteorological information preset for each patrol point can be set to a uniform standard, or they can be set to different standards based on the actual situation or historical monitoring data of each patrol point. For example, if a patrol point has experienced multiple fires due to excessively high temperatures in the area, the preset temperature weight value will be set higher; or, if a patrol point has experienced multiple fires due to strong winds in the area, the preset wind speed weight value will be set higher.

[0041] As one implementation of step S103, the step of determining the patrol priority of each patrol point based on the fire risk index of each patrol point includes sorting the patrol points according to the fire risk index of each patrol point to obtain the patrol priority of each patrol point; wherein, the higher the fire risk index of a patrol point, the higher the corresponding patrol priority.

[0042] In the above implementation, since a higher fire risk index indicates that the patrol point is more prone to fire, the corresponding patrol priority is also higher. By prioritizing patrol points with high patrol priority, safer and more effective protection of plain forests is achieved.

[0043] Reference Figure 2 As a further implementation of the patrol route planning method, after step S102, the method further includes step S1021, determining whether the fire risk index corresponding to each patrol point is greater than a preset index threshold; wherein, the preset index threshold can be preset based on historical experience; step S1022, if so, sending fire risk warning information to the smart base station corresponding to the patrol point.

[0044] Each patrol point is pre-equipped with a corresponding smart base station. Fire hazard warning information can be sent to the computer terminal in the duty room of the smart base station, or to the smart mobile terminal of the person in charge of the corresponding smart base station, such as a mobile phone or tablet.

[0045] In the above implementation, when the fire risk index of a certain inspection point is found to be greater than the preset index threshold, it indicates that the probability of a fire occurring at that inspection point is high. At this time, a fire risk warning message can be sent to notify the base station personnel in the smart base station to rush to the scene in time to eliminate the potential danger, thereby achieving the effect of early prevention.

[0046] Reference Figure 2 As a further implementation of the patrol route planning method, after step S1021, step S1023 is also included: if not, then based on the preset mapping relationship, the corresponding preset patrol frequency is determined according to the fire risk index corresponding to each patrol point; wherein, the preset mapping relationship includes the correspondence between multiple sets of index intervals and preset patrol frequencies, and each index interval corresponds to a preset patrol frequency. The preset patrol frequency is the optimal patrol frequency when the fire risk index is within the specified range. This optimal patrol frequency can be obtained by combining historical experience. In addition, during the actual configuration process, the opening and closing of the endpoints of each index range, the length of each index range, and the number of index ranges can all be set and adjusted according to the actual situation. Step S1024: Update the current patrol frequency of the patrol point to the preset patrol frequency; wherein, each patrol point has a corresponding patrol frequency preset according to the actual situation. The patrol frequency is the preset number of patrols within the preset period. By updating the current patrol frequency to the preset patrol frequency, subsequent patrols can be carried out according to the preset patrol frequency.

[0047] In the above implementation, when the fire risk index does not exceed the preset index threshold, the index range of the patrol point is determined based on the preset mapping relationship and the corresponding preset patrol frequency is determined based on the index range. The current patrol frequency of the patrol point is then updated to the preset patrol frequency, which facilitates meeting the patrol needs of different patrol points and realizes the dynamic adjustment of the patrol frequency of different patrol points, further improving safety.

[0048] It should be noted that when the fire risk index of a certain inspection point is determined to be high, a higher preset inspection frequency can be used to promptly investigate potential hazards at the inspection point and improve safety; when the fire risk index of a certain inspection point is determined to be low, a lower preset inspection frequency can be used to reduce the waste of inspection resources.

[0049] Reference Figure 3 As a further implementation of the patrol route planning method, after step S104, step S105 is also included, which involves obtaining the current location information of each patrol terminal. In the patrol process in plains and forests, multiple patrol personnel are usually arranged, and each patrol personnel is equipped with a corresponding patrol terminal. In addition, the patrol terminal can be the patrol personnel's smart mobile terminal, such as a mobile phone or tablet computer. Step S106: Calculate the distance between each patrol terminal and the patrol point with the highest patrol priority based on the location information corresponding to the patrol point with the highest patrol priority. By comparing the distances between each patrol terminal and the patrol point with the highest patrol priority, the patrol personnel closest to that patrol point can be determined.

[0050] Step S107: Generate patrol task information based on the patrol route; wherein, the patrol task information includes patrol task prompts and the corresponding patrol route; Step S108: Send the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority.

[0051] In the above implementation, by obtaining the location information of each patrol terminal, the location of each patrol person can be known, the patrol terminal closest to the patrol point with the highest patrol priority can be determined, and the patrol task information can be sent to the patrol terminal. The patrol person corresponding to the patrol terminal can then start patrolling according to the patrol route in the patrol task information, thereby reducing the situation where the current location of the patrol person assigned to the patrol route is far from the first patrol point, and improving patrol efficiency to a certain extent.

[0052] This application also discloses a patrol route planning system based on a gridded forest land smart base station.

[0053] Reference Figure 4 A patrol route planning system based on gridded forest land intelligent base stations, the route planning system includes, The information acquisition module 101 is used to acquire meteorological and location information of each patrol point in the plain forest area; each patrol point is equipped with a corresponding smart base station, and the smart base station is equipped with a sensor for real-time acquisition of meteorological information. The fire risk index calculation module 102 is used to calculate the fire risk index corresponding to each patrol point based on the meteorological information of each patrol point according to the preset calculation rules. The patrol priority generation module 103 is used to determine the patrol priority of each patrol point based on the fire risk index corresponding to each patrol point. The patrol route generation module 104 is used to generate corresponding patrol routes based on the patrol priority of each patrol point and the location information of each patrol point.

[0054] In the above implementation, based on the meteorological information of each patrol point, the fire risk index corresponding to each patrol point is calculated according to the preset calculation rules. The higher the fire risk index, the more likely the patrol point is to experience a fire. Therefore, based on the magnitude of the fire risk index corresponding to each patrol point, the patrol priority corresponding to each patrol point can be determined. Based on the patrol priority and the location information of each patrol point, the corresponding patrol route can be generated, which facilitates the reasonable planning of patrol routes according to the actual situation of each patrol point. This avoids, to a certain extent, the occurrence of forest fire accidents in plains due to untimely patrols of some patrol points, thus improving safety.

[0055] As a further implementation of the patrol route planning system, the route planning system also includes a judgment module, used to judge whether the fire risk index corresponding to each patrol point is greater than a preset index threshold. If so, a first judgment result is output; if not, a second judgment result is output. A fire risk warning information sending module, connected to the judgment module, is used to respond to the first judgment result and send fire risk warning information to the smart base station corresponding to the patrol point. In the above implementation, the base station personnel in the smart base station are notified to rush to the scene in time to eliminate the hidden danger, thereby achieving the effect of early prevention.

[0056] As a further implementation of the patrol route planning system, the route planning system also includes a preset patrol frequency determination module, connected to the judgment module, used to respond to the second judgment result and determine the corresponding preset patrol frequency based on the fire risk index corresponding to each patrol point according to the preset mapping relationship; wherein, the preset mapping relationship includes multiple sets of correspondences between index intervals and preset patrol frequencies, and each index interval corresponds to a preset patrol frequency; and a patrol frequency update module, connected to the preset patrol frequency determination module, used to update the current patrol frequency of the patrol point to the preset patrol frequency.

[0057] The above implementation method enables dynamic adjustment of the patrol frequency at different patrol points, which facilitates meeting the patrol needs of different patrol points and further improves security.

[0058] As a further implementation of the patrol route planning system, the route planning system also includes: a current location information acquisition module, used to acquire the current location information of each patrol terminal; a distance calculation module, used to calculate the distance between each patrol terminal and the patrol point with the highest patrol priority based on the location information corresponding to the patrol point with the highest patrol priority; a patrol task information generation module, used to generate patrol task information based on the patrol route; and a patrol task information sending module, used to send the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority.

[0059] In the above implementation, by sending the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority, the patrol personnel corresponding to the patrol terminal can start patrolling according to the patrol route in the patrol task information, thereby reducing the situation where the current location of the patrol personnel assigned to the patrol route is far from the first patrol point, and improving patrol efficiency to a certain extent.

[0060] The patrol route planning system of this application can implement any of the above-mentioned patrol route planning methods, and the specific working process of the patrol route planning system can be referred to the corresponding process in the above-mentioned method embodiments.

[0061] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0062] This application also discloses a computer device.

[0063] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the patrol route planning method described above.

[0064] This application also discloses a computer-readable storage medium.

[0065] A computer-readable storage medium storing a computer program that can be loaded by a processor and executed as any of the patrol route planning methods described above.

[0066] The computer-readable storage medium may be any tangible medium that contains or stores a program that may be used by or in connection with an instruction execution system, apparatus, or device; the program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical fiber, RF, or any suitable combination thereof.

[0067] In the several embodiments provided by this invention, it should be understood that the provided methods and systems can be implemented in other ways. For example, the device embodiments described above are merely illustrative; for example, the division of a certain module is merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0068] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features unless specifically stated otherwise. That is, unless specifically stated otherwise, each feature is only one example of a series of equivalent or similar features.

Claims

1. A patrol route planning method based on gridded forest land intelligent base stations, characterized in that, The method includes: acquiring meteorological and location information of each patrol point within the plain forest; calculating the fire risk index corresponding to each patrol point based on preset calculation rules and the meteorological information of each patrol point; determining the patrol priority corresponding to each patrol point based on the fire risk index of each patrol point; generating corresponding patrol routes based on the patrol priority and the location information of each patrol point; acquiring the current location information of each patrol terminal; calculating the distance between each patrol terminal and the patrol point with the highest patrol priority based on the location information of the patrol point with the highest patrol priority; generating patrol task information based on the patrol routes; and sending the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority.

2. The method according to claim 1, characterized in that: The meteorological information includes temperature, wind speed, humidity, and precipitation; each patrol point is equipped with a corresponding smart base station, which contains sensors for acquiring the meteorological information in real time.

3. The method according to claim 2, characterized in that: The sensors include a temperature sensor for collecting the temperature value, a wind speed sensor for collecting the wind speed value, a humidity sensor for collecting the humidity value, and a precipitation sensor for collecting the precipitation amount.

4. The method according to claim 1, characterized in that: The step of determining the patrol priority of each patrol point based on the fire risk index of each patrol point includes sorting the patrol points according to the fire risk index of each patrol point to obtain the patrol priority of each patrol point; wherein, the higher the fire risk index of the patrol point, the higher the patrol priority.

5. The method according to claim 1, characterized in that: The preset calculation rules include: ； Wherein, FFI is the fire risk index, T is the temperature value, Tmax is the preset maximum temperature value, W1 is the preset temperature weight value, V is the wind speed value, Vmax is the preset maximum wind speed value, W2 is the preset wind speed weight value, H is the humidity value, Hmin is the preset minimum humidity value, W3 is the preset humidity weight value, P is the precipitation, Pmin is the preset minimum precipitation value, and W4 is the preset precipitation weight value.

6. The method according to claim 5, characterized in that: The preset temperature weight value, preset wind speed weight value, preset humidity weight value, and preset precipitation weight value are all set to a uniform standard; or, different standards are set according to the actual situation or historical monitoring data of each inspection point.

7. The method according to claim 1, characterized in that: After calculating the fire risk index corresponding to each patrol point, the method further includes: determining whether the fire risk index corresponding to each patrol point is greater than a preset index threshold; if so, sending a fire risk warning message to the smart base station corresponding to the patrol point.

8. The method according to claim 7, characterized in that: Sending fire hazard warning information to the smart base station corresponding to the patrol point includes: sending the fire hazard warning information to the computer terminal in the duty room of the smart base station, or sending it to the smart mobile terminal of the management person in charge of the smart base station.

9. The method according to claim 7, characterized in that: After determining whether the fire risk index is greater than a preset index threshold, the method further includes: if not, determining the corresponding preset patrol frequency based on the fire risk index corresponding to each patrol point according to the preset mapping relationship; and updating the current patrol frequency of the patrol point to the preset patrol frequency.

10. The method according to claim 1, characterized in that: The patrol terminal is a smart mobile terminal for patrol personnel, including mobile phones or tablets.

11. A patrol route planning system based on gridded forest land intelligent base stations, characterized in that, The system includes: an information acquisition module for acquiring meteorological and location information of each patrol point within the plain forest area; a fire risk index calculation module for calculating the fire risk index of each patrol point based on preset calculation rules and the meteorological information of each patrol point; a patrol priority generation module for determining the patrol priority of each patrol point based on the fire risk index of each patrol point; a patrol route generation module for generating a corresponding patrol route based on the patrol priority of each patrol point and the location information of each patrol point; a current location information acquisition module for acquiring the current location information of each patrol terminal; a distance calculation module for calculating the distance between each patrol terminal and the patrol point with the highest patrol priority based on the location information of the patrol point with the highest patrol priority; a patrol task information generation module for generating patrol task information based on the patrol route; and a patrol task information sending module for sending the patrol task information to the patrol terminal closest to the patrol point with the highest patrol priority.

12. The system according to claim 11, characterized in that: The system also includes a judgment module and a fire risk warning information sending module, which are used to send fire risk warning information to the corresponding smart base station when the fire risk index of the patrol point is greater than a preset index threshold.

13. The system according to claim 11, characterized in that: The system also includes a preset patrol frequency determination module and a patrol frequency update module, which are used to determine the corresponding preset patrol frequency based on the preset mapping relationship and the fire risk index corresponding to each patrol point when the fire risk index is not greater than the preset index threshold, and update the current patrol frequency of the patrol point to the preset patrol frequency.

14. A computer device, characterized in that: It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the method as described in any one of claims 1 to 10.

Images