Geological disaster prevention and control method, device, equipment and storage medium

Abstract

The present invention relates to the technical field of geological disaster prevention and control, and discloses a geological disaster prevention and control method, device, equipment and storage medium. By determining the monitoring requirements of each geological disaster monitoring sub-region in the target period, a scheduling reference information set for each candidate aerial drone is generated. With the monitoring frequency, maximum flight speed and status information as constraint conditions, and the minimum number of selected monitoring aerial drones as the optimization objective, the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial actions of each target aerial drone are optimized and solved. The monitoring aerial actions are executed, and geological disaster prevention and control alarms and strategy updates are carried out according to the analysis results of the geological disaster monitoring aerial images, so as to reasonably plan the multi-drone aerial paths and monitoring strategies in a large area. While improving the geological disaster monitoring efficiency and saving the aerial monitoring resources for geological disasters, the multi-drone aerial paths and monitoring strategies can be updated and adjusted.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster prevention and control, and particularly to a method, device, equipment and storage medium for geological disaster prevention and control processing. Background Technique

[0002] Geological disaster prevention and control processing refers to taking a series of preventive, treatment and emergency measures for disasters related to geological processes such as mountain collapses, landslides, debris flows, ground collapses, ground fissures, and ground subsidence caused by natural factors or human activities, in order to avoid or reduce the damage caused by geological disasters to human life, property and the environment. Among them, the monitoring, analysis and prediction of geological disasters caused by natural factors can significantly reduce the harm of disasters to the safety of personnel and property by guiding the prevention, treatment and emergency response of geological disasters, and are of great significance in current geological disaster prevention and control.

[0003] Existing geological disaster monitoring mainly adopts the scheme of on-site instrument monitoring. However, on-site instrument monitoring has disadvantages such as high equipment failure rate due to harsh outdoor environments, high cost of fault repair and maintenance, and high deployment cost in large-scale monitoring scenarios. Although the application of UAV aerial photography technology can avoid the above problems, many limitations still need to be considered in actual applications: (1) In large-scale monitoring scenarios (such as mountainous areas with a large area), there are usually multiple geological disaster monitoring areas, and the geological environment information and meteorological and hydrological information of each geological disaster monitoring area are different (the main influencing factors of geological disasters caused by natural factors), resulting in differences in the probability of geological disasters occurring in each geological disaster monitoring area at different times. When conducting UAV aerial photography, it is necessary to match the corresponding aerial photography monitoring frequency. The positions of each geological disaster monitoring area are different, and the aerial photography monitoring frequency of each geological disaster monitoring area will also change over time, undoubtedly bringing difficulties to the planning of multi-UAV aerial photography paths and strategies in large-scale monitoring scenarios; (2) Different UAVs have different positions, states and flight capabilities when starting to perform aerial photography. When planning UAV aerial photography paths and strategies, it is also necessary to consider the actual situation of different aerial photography UAVs in the current geological disaster aerial monitoring resources, so as to improve the efficiency of geological disaster monitoring and save geological disaster aerial monitoring resources; (3) When it is monitored that a certain geological disaster monitoring area is in the disaster-bearing period, it is also necessary to adjust the aerial photography monitoring frequency of this geological disaster monitoring area in order to timely obtain the situation of this geological disaster monitoring area, making the planning of UAV aerial photography paths and strategies need to have the function of temporary adjustment and update, further increasing the difficulty of geological disaster area monitoring.

[0004] Therefore, how to reasonably plan the aerial paths and monitoring strategies of multiple drones in a large area, while improving the efficiency of geological disaster monitoring and saving aerial monitoring resources for geological disasters, and being able to update and adjust the aerial paths and monitoring strategies of multiple drones according to the specific situation of geological disaster monitoring and analysis, and improving the scene adaptability of regional monitoring of geological disasters, is a technical problem that urgently needs to be solved. Summary of the Invention

[0005] The present invention provides a geological disaster prevention and control method, device, equipment and storage medium, aiming to solve at least one of the above technical problems.

[0006] To achieve the above object, the present invention provides a geological disaster prevention and control method, including the following steps:

[0007] According to the geological environment information and meteorological and hydrological information of the target prevention and control area, determine the monitoring requirements of several geological disaster monitoring sub-areas during the target time period;

[0008] Obtain the aerial monitoring resources of geological disasters in the geological disaster prevention and control center, and based on the aerial monitoring resources of geological disasters, generate a scheduling reference information set for each candidate aerial photography drone; wherein, the scheduling reference information set includes status information, position information and maximum flight speed;

[0009] Extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, consider the scheduling reference information set of each aerial photography drone, and use the monitoring frequency, maximum flight speed and status information as constraint conditions, and take the minimum number of selected monitoring aerial photography drones as the optimization objective, and optimize and solve the selection strategy of the target aerial photography drone and the execution strategy of the monitoring aerial photography action of each target aerial photography drone;

[0010] Based on the selection strategy and the execution strategy, control each target aerial photography drone in the selection strategy to execute the monitoring aerial photography action in the corresponding execution strategy;

[0011] When obtaining the geological disaster monitoring aerial photography images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area, use the geological disaster monitoring aerial photography images to perform geological disaster analysis and obtain a geological disaster analysis result;

[0012] Judge whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements of each geological disaster monitoring sub-area, and regenerate the selection strategy and the execution strategy.

[0013] Optionally, the steps for determining the monitoring requirements of several geological disaster monitoring sub - regions during the target period according to the geological environment information and meteorological and hydrological information of the target prevention and control area specifically include:

[0014] Obtain the geological environment information of the target prevention and control area and the meteorological and hydrological information during the target period. According to the topographic and geomorphic parameters in the geological environment information and the range of reference parameters of geological disaster topographies and geomorphologies, extract several geological disaster monitoring sub - regions from the target prevention and control area;

[0015] Extract several monitoring reference features from the rock and soil type data and geological structure data in the meteorological and hydrological information and the geological environment information, and construct the several monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub - regions;

[0016] Access the geological disaster reference database of historical geological disasters, query the geological disaster historical reference array corresponding to each historical geological disaster, calculate the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and take the highest group of similarities among several similarities as the geological disaster probability quantification value of each geological disaster monitoring sub - region;

[0017] Determine the monitoring requirements of several geological disaster monitoring sub - regions during the target period according to the geological disaster probability quantification value of each geological disaster monitoring sub - region.

[0018] Optionally, the steps for determining the monitoring requirements of several geological disaster monitoring sub - regions during the target period according to the geological disaster probability quantification value of each geological disaster monitoring sub - region specifically include:

[0019] According to the positions of the geological disaster probability quantification values of each geological disaster monitoring sub - region in different numerical range intervals, divide several geological disaster monitoring sub - regions into several geological disaster grades;

[0020] Based on the mapping relationship between each geological disaster grade and the corresponding standard monitoring frequency, determine the monitoring frequency of each geological disaster monitoring sub - region, and use the monitoring position coordinates determined by the monitoring frequency of each geological disaster monitoring sub - region and the regional scope of the geological disaster monitoring sub - region to construct the monitoring requirements of several geological disaster monitoring sub - regions during the target period.

[0021] Optionally, the steps for obtaining the aerial monitoring resources of geological disasters in the geological disaster prevention and control center and generating a scheduling reference information set for each candidate aerial photography drone based on the aerial monitoring resources of geological disasters specifically include:

[0022] Obtain the aerial monitoring resources of geological disasters in the geological disaster prevention and control center; among them, the aerial monitoring resources of geological disasters include the identification information of several aerial photography drones;

[0023] Query the status information, location information, and maximum flight speed of each aerial drone based on the identification information of several aerial drones, and generate a scheduling reference information set for each aerial drone based on the status information, location information, and the maximum flight speed.

[0024] Optionally, extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, consider the scheduling reference information set of each aerial drone, take the monitoring frequency as the first constraint condition, the maximum flight speed as the second constraint condition, and the status information as the third constraint condition, and take the minimum number of selected monitoring aerial drones as the optimization objective, and optimize and solve the selection strategy of the target aerial drones and the execution strategy steps of the monitoring aerial actions of each target aerial drone, specifically including:

[0025] Extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, and consider the scheduling reference information set of each aerial drone;

[0026] Take the interval time between two adjacent monitoring aerial actions in several monitoring aerial actions of each geological disaster monitoring sub-region not being longer than the target interval time corresponding to the monitoring frequency of the geological disaster monitoring sub-region as the first constraint condition, take the distance between the monitoring location coordinates corresponding to two adjacent monitoring aerial actions in several monitoring aerial actions performed by each aerial drone being less than the flight distance corresponding to the maximum flight speed of the aerial drone as the second constraint condition, take the sum of the flight distances of several monitoring aerial actions performed by each aerial drone being less than the endurance distance corresponding to the status information of the aerial drone as the third constraint condition, and take the minimum number of aerial drones used to complete all monitoring aerial actions of all geological disaster monitoring sub-regions as the optimization objective;

[0027] Optimize and solve the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial actions of each target aerial drone.

[0028] Optionally, when obtaining the geological disaster monitoring aerial images collected by two adjacent monitoring aerial actions in each geological disaster monitoring sub-region, perform geological disaster analysis using the geological disaster monitoring aerial images, and obtain the geological disaster analysis result steps, specifically including:

[0029] When obtaining the geological disaster monitoring aerial images collected by two adjacent monitoring aerial actions in each geological disaster monitoring sub-region, extract the image features in the geological disaster monitoring aerial images of the two adjacent monitoring aerial actions and construct them into a geological disaster monitoring image feature set;

[0030] Input the geological disaster monitoring image feature set into a pre-trained geological disaster prediction model to conduct geological disaster analysis on each geological disaster monitoring sub-region and determine whether each geological disaster monitoring sub-region is in the disaster gestation period; wherein, the geological disaster prediction model is a prediction model obtained by training an initial convolutional neural network using geological disaster monitoring images collected during the disaster gestation period of historical geological disaster accidents as training samples.

[0031] Optionally, determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region, adjust the monitoring requirements for the corresponding geological disaster monitoring sub-region, and regenerate the selection strategy and execution strategy steps, specifically including:

[0032] Determine whether the geological disaster probability analysis result indicates being in the disaster gestation period. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region;

[0033] Raise the geological disaster level of the geological disaster monitoring sub-region where the geological disaster prevention and control alarm is executed to the highest level, update the monitoring requirements for this geological disaster monitoring sub-region, and use the updated monitoring requirements to regenerate the selection strategy and execution strategy.

[0034] In addition, to achieve the above object, the present invention also provides a geological disaster prevention and control processing device, including:

[0035] A determination module, configured to determine the monitoring requirements of several geological disaster monitoring sub-regions at a target time period according to the geological environment information and meteorological and hydrological information of the target prevention and control region;

[0036] A generation module, configured to obtain the geological disaster aerial monitoring resources of the geological disaster prevention and control center, and generate a scheduling reference information set for each candidate aerial photography drone based on the geological disaster aerial monitoring resources; wherein, the scheduling reference information set includes status information, location information, and maximum flight speed;

[0037] An extraction module, configured to extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, consider the scheduling reference information set of each aerial photography drone, and use the monitoring frequency, maximum flight speed, and status information as constraint conditions, and take the minimum number of selected monitoring aerial photography drones as the optimization objective to optimize and solve the selection strategy of the target aerial photography drones and the execution strategy of the monitoring aerial photography actions of each target aerial photography drone;

[0038] An execution module, configured to control each target aerial photography drone in the selection strategy to execute the monitoring aerial photography actions in the corresponding execution strategy based on the selection strategy and the execution strategy;

[0039] An analysis module, configured to perform geological disaster analysis on the geological disaster monitoring aerial images when obtaining the geological disaster monitoring aerial images collected by two adjacent monitoring aerial actions in each geological disaster monitoring sub-region, and obtain a geological disaster analysis result;

[0040] An alarm module, configured to determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, perform geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements of each geological disaster monitoring sub-region, and regenerate a selection strategy and an execution strategy.

[0041] In addition, to achieve the above object, the present invention also provides a geological disaster prevention and control processing device, where the geological disaster prevention and control processing device includes: a memory, a processor, and a geological disaster prevention and control processing program stored on the memory and executable on the processor. When the geological disaster prevention and control processing program is executed by the processor, the steps of the above-mentioned geological disaster prevention and control processing method are implemented.

[0042] In addition, to achieve the above object, the present invention also provides a storage medium, on which a geological disaster prevention and control processing program is stored. When the geological disaster prevention and control processing program is executed by a processor, the steps of the above-mentioned geological disaster prevention and control processing method are implemented.

[0043] The beneficial effects of the present invention are as follows: A geological disaster prevention and control processing method, device, equipment, and storage medium are proposed. By obtaining the geological environment information and meteorological and hydrological information of the target prevention and control area, determining the monitoring requirements of each geological disaster monitoring sub-region during the target period, and then obtaining geological disaster aerial monitoring resources, generating a scheduling reference information set for each candidate aerial photography drone, using the monitoring frequency, maximum flight speed, and status information as constraint conditions, and taking the minimum number of selected aerial photography drones as the optimization goal, optimizing and solving the selection strategy of the target aerial photography drone and the execution strategy of the monitoring aerial action of each target aerial photography drone, performing the monitoring aerial action of the target prevention and control area, and performing geological disaster prevention and control alarm and strategy update according to the analysis result of the geological disaster monitoring aerial image, so as to reasonably plan the multi-drone aerial photography path and monitoring strategy in a large area range. While improving the geological disaster monitoring efficiency and saving geological disaster aerial monitoring resources, it can update and adjust the multi-drone aerial photography path and monitoring strategy according to the specific situation of geological disaster monitoring and analysis, and improve the scene adaptability of geological disaster area monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the device structure of the hardware operating environment related to the embodiment solution of the present invention;

[0045] Figure 2It is a schematic flowchart of an embodiment of the geological disaster prevention and control method of the present invention;

[0046] Figure 3 It is a structural block diagram of a geological disaster prevention and control device in an embodiment of the present invention.

[0047] The realization, functional characteristics and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed Embodiment

[0048] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] As Figure 1 shown, Figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment solution of the present invention.

[0051] As Figure 1 shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art can understand that Figure 1 the structure of the device shown in

[0053] As Figure 1 shown, the memory 1005, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a geological disaster prevention and control program.

[0054] In Figure 1In the terminal shown, the network interface 1004 is mainly used to connect to the background server and communicate with the background server for data; the user interface 1003 is mainly used to connect to the client (user side) and communicate with the client for data; and the processor 1001 can be used to call the geological disaster prevention and control processing program stored in the memory 1005 and perform the following operations:

[0055] According to the geological environment information and meteorological and hydrological information of the target prevention and control area, determine the monitoring requirements of several geological disaster monitoring sub-areas during the target period;

[0056] Obtain the aerial monitoring resources of geological disasters from the geological disaster prevention and control center, and based on the aerial monitoring resources of geological disasters, generate a scheduling reference information set for each candidate aerial photography UAV; wherein, the scheduling reference information set includes status information, location information, and maximum flight speed;

[0057] Extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, consider the scheduling reference information set of each aerial photography UAV, and use the monitoring frequency, maximum flight speed, and status information as constraint conditions, and take the minimum number of selected monitoring aerial photography UAVs as the optimization objective to optimize and solve the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography actions of each target aerial photography UAV;

[0058] Based on the selection strategy and the execution strategy, control each target aerial photography UAV in the selection strategy to execute the monitoring aerial photography actions in the corresponding execution strategy;

[0059] When obtaining the geological disaster monitoring aerial photography images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area, use the geological disaster monitoring aerial photography images to perform geological disaster analysis and obtain the geological disaster analysis result;

[0060] Judge whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements of each geological disaster monitoring sub-area, and regenerate the selection strategy and the execution strategy.

[0061] The specific embodiments of the present invention applied to the device are basically the same as those of the following embodiments of the geological disaster prevention and control processing method, and will not be elaborated here.

[0062] The embodiments of the present invention provide a geological disaster prevention and control processing method, referring to Figure 2 , Figure 2 is the flow chart of the embodiment of the geological disaster prevention and control processing method of the present invention.

[0063] In this embodiment, a geological disaster prevention and control processing method includes the following steps:

[0064] S100: Determine the monitoring requirements of several geological disaster monitoring sub - regions during the target period according to the geological environment information and meteorological and hydrological information of the target prevention and control area;

[0065] S200: Obtain the aerial monitoring resources for geological disasters of the geological disaster prevention and control center, and generate a scheduling reference information set for each candidate aerial photography UAV based on the aerial monitoring resources for geological disasters; wherein, the scheduling reference information set includes status information, location information, and maximum flight speed;

[0066] S300: Extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub - region, consider the scheduling reference information set of each aerial photography UAV, take the monitoring frequency, maximum flight speed, and status information as constraint conditions, and take the minimum number of selected monitoring aerial photography UAVs as the optimization objective to optimize and solve the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography actions of each target aerial photography UAV;

[0067] S400: Based on the selection strategy and the execution strategy, control each target aerial photography UAV in the selection strategy to execute the monitoring aerial photography actions in the corresponding execution strategy;

[0068] S500: When obtaining the geological disaster monitoring aerial photography images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub - region, use the geological disaster monitoring aerial photography images to perform geological disaster analysis and obtain the geological disaster analysis result;

[0069] S600: Judge whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements of each geological disaster monitoring sub - region, and regenerate the selection strategy and the execution strategy.

[0070] It should be noted that the existing geological disaster monitoring mainly adopts the scheme of on-site instrument monitoring. However, on-site instrument monitoring has disadvantages such as high equipment failure rate due to harsh outdoor environment, high cost of fault repair and maintenance, and high deployment cost in large-scale monitoring scenarios. The application of UAV aerial photography technology can avoid the above problems, but many limitations still need to be considered in actual applications: (1) In large-scale monitoring scenarios (such as mountainous areas with a large area), there are usually multiple geological disaster monitoring areas, and the geological environment information and meteorological and hydrological information of each geological disaster monitoring area are different (the main influencing factors of geological disasters caused by natural factors), which makes the probability of geological disasters occurring in each geological disaster monitoring area different at different times. When conducting UAV aerial photography, it is necessary to match the corresponding aerial photography monitoring frequency. The positions of each geological disaster monitoring area are different, and the aerial photography monitoring frequency of each geological disaster monitoring area will also change over time, which undoubtedly brings difficulties to the planning of multi-UAV aerial photography paths and strategies in large-scale monitoring scenarios; (2) Different UAVs have different positions, states and flight capabilities when starting to execute aerial photography. When planning the UAV aerial photography path and strategy, it is also necessary to consider the actual situation of different aerial photography UAVs in the current geological disaster aerial monitoring resources, so as to improve the geological disaster monitoring efficiency and save the geological disaster aerial monitoring resources; (3) When it is monitored that a certain geological disaster monitoring area is in the disaster-forming period, it is also necessary to adjust the aerial photography monitoring frequency of this geological disaster monitoring area in order to obtain the situation of this geological disaster monitoring area in a timely manner, which makes the planning of the UAV aerial photography path and strategy need to have the function of temporary adjustment and update, further increasing the difficulty of geological disaster area monitoring.

[0071] To solve the above problems, in this embodiment, by determining the monitoring requirements of each geological disaster monitoring sub-area in the target period, a scheduling reference information set of each candidate aerial photography UAV is generated. With the monitoring frequency, maximum flight speed and status information as constraint conditions, and the minimum number of selected monitoring aerial photography UAVs as the optimization objective, the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography actions of each target aerial photography UAV are optimized and solved. The monitoring aerial photography actions are executed and geological disaster prevention and control alarms and strategy updates are carried out according to the analysis results of the geological disaster monitoring aerial photography images, so as to reasonably plan the multi-UAV aerial photography paths and monitoring strategies in a large area. While improving the geological disaster monitoring efficiency and saving the geological disaster aerial monitoring resources, the multi-UAV aerial photography paths and monitoring strategies can be updated and adjusted.

[0072] In a preferred embodiment, the step of determining the monitoring requirements of several geological disaster monitoring sub-areas in the target period according to the geological environment information and meteorological and hydrological information of the target prevention and control area specifically includes:

[0073] S110: Obtain the geological environment information of the target prevention and control area and the meteorological and hydrological information during the target time period. According to the topographic and geomorphic parameters in the geological environment information and the reference range of topographic and geomorphic parameters for geological disasters, extract several geological disaster monitoring sub-areas from the target prevention and control area;

[0074] S120: Extract several monitoring reference features from the rock and soil type data and geological structure data in the meteorological and hydrological information and the geological environment information, and construct the several monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub-areas;

[0075] S130: Access the geological disaster reference database of historical geological disasters, query the geological disaster historical reference array corresponding to each historical geological disaster, calculate the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and take the highest group of similarities among the several similarities as the geological disaster probability quantification value of each geological disaster monitoring sub-area;

[0076] S140: Determine the monitoring requirements of several geological disaster monitoring sub-areas during the target time period according to the geological disaster probability quantification value of each geological disaster monitoring sub-area.

[0077] Furthermore, the step of determining the monitoring requirements of several geological disaster monitoring sub-areas during the target time period according to the geological disaster probability quantification value of each geological disaster monitoring sub-area specifically includes:

[0078] S141: Divide several geological disaster monitoring sub-areas into several geological disaster grades according to the positions of the geological disaster probability quantification values of each geological disaster monitoring sub-area within different numerical range intervals;

[0079] S142: Based on the mapping relationship between each geological disaster grade and the corresponding standard monitoring frequency, determine the monitoring frequency of each geological disaster monitoring sub-area, and use the monitoring position coordinates determined by the monitoring frequency of each geological disaster monitoring sub-area and the regional range of the geological disaster monitoring sub-area to construct the monitoring requirements of several geological disaster monitoring sub-areas during the target time period.

[0080] In this embodiment, by obtaining the geological environment information of the target prevention and control area and the meteorological and hydrological information during the target period, using the topographic and geomorphic parameters in the geological environment information, several geological disaster monitoring sub-areas are extracted, and then the monitoring reference features are extracted from the meteorological and hydrological information, the rock and soil type data and the geological structure data in the geological environment information to construct the geological disaster prediction reference data. By calculating the similarity with the geological disaster historical reference array of historical geological disasters, the geological disaster probability quantization value of each geological disaster monitoring sub-area is determined, and then the numerical range section is divided, and the appropriate geological disaster level is assigned to different geological disaster monitoring areas. Finally, the monitoring requirements including the monitoring frequency and the monitoring position coordinates are generated, providing data support for the subsequent solution of the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial actions of each target aerial drone.

[0081] In a preferred embodiment, the steps of obtaining the aerial monitoring resources for geological disasters of the geological disaster prevention center and generating the scheduling reference information set for each candidate aerial drone based on the aerial monitoring resources for geological disasters specifically include:

[0082] S210: Obtain the aerial monitoring resources for geological disasters of the geological disaster prevention center; wherein, the aerial monitoring resources for geological disasters include the identification information of several aerial drones.

[0083] S220: Based on the identification information of several aerial drones, query the status information, position information and maximum flight speed of each aerial drone, and generate the scheduling reference information set for each aerial drone based on the status information, position information and the maximum flight speed.

[0084] On this basis, extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, consider the scheduling reference information set of each aerial drone, take the monitoring frequency as the first constraint condition, the maximum flight speed as the second constraint condition, and the status information as the third constraint condition, and take the minimum number of selected monitoring aerial drones as the optimization objective. The steps of optimizing and solving the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial actions of each target aerial drone specifically include:

[0085] S310: Extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, and consider the scheduling reference information set of each aerial drone.

[0086] S320: Taking that the time interval between two adjacent monitoring aerial photography actions among several monitoring aerial photography actions in each geological disaster monitoring sub - region is no longer than the target interval time corresponding to the monitoring frequency of the geological disaster monitoring sub - region as the first constraint condition, taking that the distance between the monitoring position coordinates corresponding to two adjacent monitoring aerial photography actions among several monitoring aerial photography actions performed by each aerial drone is less than the flight distance corresponding to the maximum flight speed of the aerial drone as the second constraint condition, taking that the sum of the flight distances of each aerial drone performing several monitoring aerial photography actions is less than the endurance distance corresponding to the status information of the aerial drone as the third constraint condition, and taking the minimum number of aerial drones used to complete all monitoring aerial photography actions of all geological disaster monitoring sub - regions as the optimization objective;

[0087] S330: Optimize and solve the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial photography actions of each target aerial drone.

[0088] In this embodiment, by obtaining geological disaster aerial monitoring resources, generating a scheduling reference information set for each candidate aerial drone, taking the monitoring frequency, maximum flight speed, and status information as constraint conditions, and taking the minimum number of selected monitoring aerial drones as the optimization objective, optimizing and solving the selection strategy of the target aerial drones and the execution strategy of the monitoring aerial photography actions of each target aerial drone, it is possible to consider the combined effects of multiple factors, make a reasonable and scientific plan for the multi - drone aerial photography path and monitoring strategy in a large - area range, improve the geological disaster monitoring efficiency, and save geological disaster aerial monitoring resources.

[0089] In a preferred embodiment, when obtaining the geological disaster monitoring aerial photography images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub - region, the steps of performing geological disaster analysis using the geological disaster monitoring aerial photography images to obtain geological disaster analysis results specifically include:

[0090] S510: When obtaining the geological disaster monitoring aerial photography images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub - region, extract the image features in the geological disaster monitoring aerial photography images of the two adjacent monitoring aerial photography actions and construct them into a geological disaster monitoring image feature set;

[0091] S520: Input the geological disaster monitoring image feature set into a pre - trained geological disaster prediction model to perform geological disaster analysis on each geological disaster monitoring sub - region and determine whether each geological disaster monitoring sub - region is in the disaster - pregnant period; wherein, the geological disaster prediction model is a prediction model obtained by training an initial convolutional neural network using geological disaster monitoring images collected during the disaster - pregnant period of historical geological disaster accidents as training samples.

[0092] On this basis, determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region, adjust the monitoring requirements of the corresponding geological disaster monitoring sub-region, and regenerate the selection strategy and execution strategy steps, specifically including:

[0093] S610: Determine whether the geological disaster probability analysis result is in the disaster-forming period. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region;

[0094] S620: Raise the geological disaster level of the geological disaster monitoring sub-region where the geological disaster prevention and control alarm is executed to the highest level, update the monitoring requirements of this geological disaster monitoring sub-region, and use the updated monitoring requirements to regenerate the selection strategy and execution strategy.

[0095] In this embodiment, after obtaining the selection strategy of the initial target aerial photography drone and the execution strategy of the monitoring aerial photography actions of each target aerial photography drone, execute the monitoring aerial photography actions of the target prevention area, and execute the geological disaster prevention and control alarm and strategy update according to the analysis result of the geological disaster monitoring aerial photography image, so as to update and adjust the multi-drone aerial photography path and monitoring strategy according to the specific situation of geological disaster monitoring and analysis, and improve the scene adaptability of geological disaster area monitoring.

[0096] Refer to Figure 3 , Figure 3 which is the structural block diagram of the embodiment of the geological disaster prevention and control processing device of the present invention.

[0097] As Figure 3 shown, the geological disaster prevention and control processing device proposed in the embodiment of the present invention includes:

[0098] A determination module 10, configured to determine the monitoring requirements of several geological disaster monitoring sub-regions at a target time period according to the geological environment information and meteorological and hydrological information of the target prevention area;

[0099] A generation module 20, configured to obtain the geological disaster aerial monitoring resources of the geological disaster prevention and control center, and generate a scheduling reference information set for each candidate aerial photography drone based on the geological disaster aerial monitoring resources; wherein, the scheduling reference information set includes status information, position information, and maximum flight speed;

[0100] An extraction module 30, configured to extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, consider the scheduling reference information set of each aerial photography drone, use the monitoring frequency, maximum flight speed, and status information as constraint conditions, and take the minimum number of selected monitoring aerial photography drones as the optimization objective to optimize and solve the selection strategy of the target aerial photography drone and the execution strategy of the monitoring aerial photography actions of each target aerial photography drone;

[0101] An execution module 40, configured to control each target aerial drone in the selection strategy to perform the monitoring aerial photography action in the corresponding execution strategy based on the selection strategy and the execution strategy;

[0102] An analysis module 50, configured to perform geological disaster analysis on the geological disaster monitoring aerial photography images collected from the adjacent two monitoring aerial photography actions in each geological disaster monitoring sub-region, and obtain a geological disaster analysis result;

[0103] An alarm module 60, configured to determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, perform geological disaster prevention and control alarm, and adjust the monitoring requirements of each geological disaster monitoring sub-region based on the geological disaster analysis result, and regenerate the selection strategy and the execution strategy.

[0104] For other embodiments or specific implementation manners of the geological disaster prevention and control processing device of the present invention, reference may be made to the above method embodiments, which will not be elaborated herein.

[0105] In addition, the present invention also provides a geological disaster prevention and control processing device, which includes: a memory, a processor, and a geological disaster prevention and control processing program stored on the memory and executable on the processor. When the geological disaster prevention and control processing program is executed by the processor, the steps of the geological disaster prevention and control processing method described above are implemented.

[0106] The specific implementation manner of the geological disaster prevention and control processing device of the present application is basically the same as that of the above geological disaster prevention and control processing method embodiments, and will not be elaborated herein.

[0107] In addition, the present invention also provides a readable storage medium, which includes a computer-readable storage medium, on which a geological disaster prevention and control processing program is stored. The readable storage medium may be Figure 1 the memory 1005 in the terminal, or at least one of ROM (Read-Only Memory), RAM (Random Access Memory), magnetic disk, and optical disk. The readable storage medium includes several instructions for causing a geological disaster prevention and control processing device with a processor to execute the geological disaster prevention and control processing method described in each embodiment of the present invention.

[0108] The specific implementation manner in the readable storage medium of the present application is basically the same as that of the above geological disaster prevention and control processing method embodiments, and will not be elaborated herein.

[0109] It should be understood that in the description of this specification, the descriptions referring to terms such as "one embodiment", "another embodiment", "other embodiments", or "the first embodiment to the Nth embodiment" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0110] It should be noted that in this article, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or system including a series of elements not only includes those elements but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article, or system. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article, or system including that element.

[0111] The serial numbers of the above embodiments of the present invention are only for description and do not represent the superiority or inferiority of the embodiments.

[0112] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc) as described above and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

[0113] The above are only the preferred embodiments of the present invention and do not limit the patent scope of the present invention accordingly. Any equivalent structural or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A geological disaster prevention and control method, characterized in that, The following steps are involved: According to the geological environment information and meteorological and hydrological information of the target prevention and control area, determine the monitoring needs of several geological disaster monitoring sub-areas during the target period; Acquire the geological disaster aerial monitoring resources of the geological disaster prevention and control center, and generate a scheduling reference information set for each candidate aerial photography UAV based on the geological disaster aerial monitoring resources; wherein the scheduling reference information set includes status information, location information and maximum flight speed; The monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area are extracted, and the scheduling reference information set of each aerial photography UAV is considered. The monitoring frequency, maximum flight speed and status information are used as constraints, and the minimum number of selected monitoring aerial photography UAVs is used as the optimization goal. The selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography action of each target aerial photography UAV are optimized. Specifically, it includes: Extract the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, and consider the scheduling reference information set of each aerial photography drone; The first constraint condition is that the interval time between two adjacent monitoring aerial photography actions in several monitoring aerial photography actions of each geological disaster monitoring sub-area is not longer than the target interval time corresponding to the monitoring frequency of the geological disaster monitoring sub-area; the second constraint condition is that the distance between the monitoring position coordinates corresponding to two adjacent monitoring aerial photography actions performed by each aerial photography drone is less than the flight distance corresponding to the maximum flight speed of the aerial photography drone; the third constraint condition is that the sum of the flight distances of several monitoring aerial photography actions performed by each aerial photography drone is less than the cruising distance corresponding to the state information of the aerial photography drone; and the optimization goal is to minimize the number of aerial photography drones used to complete all monitoring aerial photography actions in all geological disaster monitoring sub-areas; Optimize the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography action of each target aerial photography UAV; Based on the selection strategy and the execution strategy, each target aerial photography UAV in the selection strategy is controlled to execute the monitoring aerial photography action in the corresponding execution strategy; When the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area are obtained, the geological disaster monitoring aerial images are used to perform geological disaster analysis to obtain geological disaster analysis results; specifically including: When the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area are obtained, image features in the geological disaster monitoring aerial images of the two adjacent monitoring aerial photography actions are extracted to construct a geological disaster monitoring image feature set; Input the geological disaster monitoring image feature set into the pre-trained geological disaster prediction model to perform geological disaster analysis on each geological disaster monitoring sub-area to determine whether each geological disaster monitoring sub-area is in a disaster-pregnant period; wherein the geological disaster prediction model is configured to use geological disaster monitoring images collected during the disaster-pregnant period of historical geological disaster accidents as training samples to train an initial convolutional neural network to obtain a prediction model; Judge whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements of each geological disaster monitoring sub-region, and regenerate the selection strategy and execution strategy.

2. The geological disaster prevention and control method according to claim 1, characterized in that, The steps of determining the monitoring requirements of several geological disaster monitoring sub-regions in the target period according to the geological environment information and meteorological and hydrological information of the target prevention and control area specifically include: Obtain the geological environment information of the target prevention and control area and the meteorological and hydrological information in the target period. According to the topographic and geomorphic parameters in the geological environment information and the reference range of geological disaster topographic and geomorphic parameters, extract several geological disaster monitoring sub-regions from the target prevention and control area; Extract several monitoring reference features from the meteorological and hydrological information and the rock and soil type data and geological structure data in the geological environment information, and construct the several monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub-region; Access the geological disaster reference database of historical geological disasters, query the geological disaster historical reference array corresponding to each historical geological disaster, calculate the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and take the highest group of similarities among the several similarities as the geological disaster probability quantization value of each geological disaster monitoring sub-region; Determine the monitoring requirements of several geological disaster monitoring sub-regions in the target period according to the geological disaster probability quantization value of each geological disaster monitoring sub-region.

3. The geological disaster prevention and control method according to claim 2, characterized in that, The steps of determining the monitoring requirements of several geological disaster monitoring sub-regions in the target period according to the geological disaster probability quantization value of each geological disaster monitoring sub-region specifically include: According to the position of the geological disaster probability quantization value of each geological disaster monitoring sub-region in different numerical range intervals, divide several geological disaster monitoring sub-regions into several geological disaster levels; Based on the mapping relationship between each geological disaster level and the corresponding standard monitoring frequency, determine the monitoring frequency of each geological disaster monitoring sub-region, and use the monitoring position coordinates determined by the monitoring frequency of each geological disaster monitoring sub-region and the regional range of the geological disaster monitoring sub-region to construct the monitoring requirements of several geological disaster monitoring sub-regions in the target period.

4. The geological disaster prevention and control method according to claim 1, characterized in that, The steps of obtaining the geological disaster aerial monitoring resources of the geological disaster prevention and control center and generating a scheduling reference information set for each candidate aerial photography UAV based on the geological disaster aerial monitoring resources specifically include: Obtain the geological disaster aerial monitoring resources of the geological disaster prevention and control center; wherein, the geological disaster aerial monitoring resources include the identification information of several aerial photography UAVs; Based on the identification information of several aerial photography UAVs, query the status information, position information and maximum flight speed of each aerial photography UAV, and generate a scheduling reference information set for each aerial photography UAV based on the status information, position information and the maximum flight speed.

5. The geological disaster prevention and control method according to claim 3, characterized in that, Judge whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region, adjust the monitoring requirements of the corresponding geological disaster monitoring sub-region, and regenerate the selection strategy and execution strategy steps, specifically including: Judge whether the geological disaster probability analysis result is in the disaster-forming period. If so, execute the geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-region; Raise the geological disaster level of the geological disaster monitoring sub-region where the geological disaster prevention and control alarm is executed to the highest level, update the monitoring requirements of this geological disaster monitoring sub-region, and use the updated monitoring requirements to regenerate the selection strategy and execution strategy.

6. A geological disaster prevention and control treatment device, characterized in that, Including: A determination module, used to determine the monitoring requirements of several geological disaster monitoring sub-regions during the target period according to the geological environment information and meteorological and hydrological information of the target prevention and control area; A generation module, used to obtain the geological disaster aerial monitoring resources of the geological disaster prevention and control center, and generate a scheduling reference information set for each candidate aerial photography UAV based on the geological disaster aerial monitoring resources; wherein, the scheduling reference information set includes status information, location information and maximum flight speed; An extraction module, used to extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, consider the scheduling reference information set of each aerial photography UAV, and use the monitoring frequency, maximum flight speed and status information as constraint conditions, and take the minimum number of selected aerial photography UAVs as the optimization goal to optimize and solve the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography actions of each target aerial photography UAV; specifically including: Extract the monitoring position coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-region, and consider the scheduling reference information set of each aerial photography UAV; Take that the interval time between two adjacent monitoring aerial photography actions in several monitoring aerial photography actions of each geological disaster monitoring sub-region is not longer than the target interval time corresponding to the monitoring frequency of the geological disaster monitoring sub-region as the first constraint condition, take that the distance between the monitoring position coordinates corresponding to two adjacent monitoring aerial photography actions in several monitoring aerial photography actions executed by each aerial photography UAV is less than the flight distance corresponding to the maximum flight speed of the aerial photography UAV as the second constraint condition, take that the sum of the flight distances of several monitoring aerial photography actions executed by each aerial photography UAV is less than the endurance distance corresponding to the status information of the aerial photography UAV as the third constraint condition, and take the minimum number of aerial photography UAVs used to execute all monitoring aerial photography actions of all geological disaster monitoring sub-regions as the optimization goal; Optimize and solve the selection strategy of the target aerial photography UAV and the execution strategy of the monitoring aerial photography actions of each target aerial photography UAV; An execution module, used to control each target aerial photography UAV in the selection strategy to execute the monitoring aerial photography actions in the corresponding execution strategy based on the selection strategy and the execution strategy; An analysis module, configured to, when obtaining geological disaster monitoring aerial images collected by two adjacent monitoring aerial actions for each geological disaster monitoring sub-region, perform geological disaster analysis using the geological disaster monitoring aerial images to obtain a geological disaster analysis result; specifically including: When obtaining geological disaster monitoring aerial images collected by two adjacent monitoring aerial actions for each geological disaster monitoring sub-region, extracting image features in the geological disaster monitoring aerial images of the two adjacent monitoring aerial actions to construct a geological disaster monitoring image feature set; Inputting the geological disaster monitoring image feature set into a pre-trained geological disaster prediction model to perform geological disaster analysis on each geological disaster monitoring sub-region and determine whether each geological disaster monitoring sub-region is in the disaster-forming period; wherein, the geological disaster prediction model is a prediction model obtained by training an initial convolutional neural network using geological disaster monitoring images collected during the disaster-forming period of historical geological disaster accidents as training samples; An alarm module, configured to determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm condition, and if so, perform geological disaster prevention and control alarm, and based on the geological disaster analysis result, adjust the monitoring requirements for each geological disaster monitoring sub-region, and regenerate a selection strategy and an execution strategy.

7. A geological disaster prevention and control treatment device, characterized in that, The geological disaster prevention and control processing device includes: a memory, a processor, and a geological disaster prevention and control processing program stored on the memory and executable on the processor, and when the geological disaster prevention and control processing program is executed by the processor, the steps of the geological disaster prevention and control processing method according to any one of claims 1 to 5 are implemented.

8. A storage medium, characterized in that, A geological disaster prevention and control processing program is stored on the storage medium, and when the geological disaster prevention and control processing program is executed by a processor, the steps of the geological disaster prevention and control processing method according to any one of claims 1 to 5 are implemented.

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