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

Abstract

The invention relates to the technical field of geological disaster prevention and treatment, and discloses a geological disaster prevention and treatment method, device and equipment and a storage medium, and the method comprises the steps: generating a scheduling reference information set of each candidate unmanned aerial vehicle through determining the monitoring demands of each geological disaster monitoring sub-region in a target time period; by taking the monitoring frequency, the maximum flight speed and the state information as constraint conditions and taking the minimum number of the selected aerial photography monitoring unmanned aerial vehicles as an optimization target, optimizing and solving a selection strategy of the target aerial photography unmanned aerial vehicles and an execution strategy of the aerial photography monitoring action of each target aerial photography unmanned aerial vehicle; and carrying out monitoring aerial photography actions and carrying out geological disaster prevention and control alarm and strategy updating according to analysis results of geological disaster monitoring aerial photography images so as to reasonably plan aerial photography paths and monitoring strategies of multiple unmanned aerial vehicles in a large-area range, thereby improving geological disaster monitoring efficiency and saving geological disaster air monitoring resources. And updating and adjusting of aerial photography paths and monitoring strategies of multiple unmanned aerial vehicles can be carried out.

Description

Technical Field

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

[0002] Geological disaster prevention and control refers to taking a series of prevention, control and emergency measures for geological disasters such as landslides, mudslides, debris flows, ground collapse, ground fissures, and ground subsidence caused by natural factors or human activities, so as 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 people and property by guiding the prevention, control and emergency response of geological disasters, and is of great significance in the current prevention and control of geological disasters.

[0003] Existing geological disaster monitoring mainly adopts the solution of on-site instrument monitoring. However, on-site instrument monitoring has the disadvantages of high equipment failure rate due to the harsh outdoor environment, high fault repair and maintenance costs, and high deployment costs in large-area monitoring scenarios. Although the application of drone aerial photography technology can avoid the occurrence of the above problems, many limitations still need to be considered in practical applications: (1) In large-area monitoring scenarios (such as large mountainous areas), 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 in each geological disaster monitoring area different at different times. When conducting drone aerial photography, it is necessary to match the corresponding aerial photography monitoring frequency. The location of each geological disaster monitoring area is different, and the aerial photography monitoring frequency of each geological disaster monitoring area will also change over time, which undoubtedly brings difficulties to large-area monitoring. (1) The planning of multiple drone aerial photography paths and strategies in different scenarios brings difficulties; (2) Different drones have different positions, states and flight capabilities when they start aerial photography. When planning drone aerial photography paths and strategies, it is also necessary to consider the actual conditions of different aerial photography drones in the current geological disaster aerial monitoring resources to improve the efficiency of geological disaster monitoring and save geological disaster aerial monitoring resources; (3) When a geological disaster monitoring area is detected to be in a disaster-prone period, it is also necessary to adjust the aerial photography monitoring frequency of the geological disaster monitoring area to obtain the status of the geological disaster monitoring area in a timely manner, so that the planning of drone aerial photography paths and strategies needs to have the function of temporary adjustment and update, which further increases the difficulty of geological disaster area monitoring.

[0004] Therefore, how to rationally plan the aerial photography paths and monitoring strategies of multiple UAVs over a large area, while improving the efficiency of geological disaster monitoring and saving geological disaster aerial monitoring resources, can update and adjust the aerial photography paths and monitoring strategies of multiple UAVs according to the specific circumstances of geological disaster monitoring and analysis, and improve the scene adaptability of geological disaster area monitoring, is a technical problem that needs to be solved urgently. 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-mentioned technical problems.

[0006] To achieve the above object, the present invention provides a method for preventing and controlling geological disasters, comprising the following steps: 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. 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; Determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis results, adjust the monitoring requirements of each geological disaster monitoring sub-area, and regenerate the selection strategy and execution strategy.

[0007] Optionally, based on the geological environment information and meteorological and hydrological information of the target prevention and control area, the monitoring requirements of several geological disaster monitoring sub-areas in the target period are determined, specifically including: Acquire geological environment information of the target prevention and control area and meteorological and hydrological information in the target period, and extract a number of geological disaster monitoring sub-areas from the target prevention and control area according to the topographic and geomorphic parameters in the geological environment information and the reference parameter range of geological disaster topographic and geomorphic parameters; Extracting a plurality of monitoring reference features from the rock and soil type data and the geological structure data in the meteorological and hydrological information and the geological environment information, and constructing the plurality of monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub-area; Accessing a geological disaster reference database of historical geological disasters, querying a geological disaster historical reference array corresponding to each historical geological disaster, calculating the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and taking the highest set of similarities among several similarities as a geological disaster probability quantization value for each geological disaster monitoring sub-area; Based on the quantitative value of the geological disaster probability of each geological disaster monitoring sub-area, the monitoring needs of several geological disaster monitoring sub-areas in the target period are determined.

[0008] Optionally, according to the quantified value of the geological disaster probability of each geological disaster monitoring sub-area, the monitoring demand steps of several geological disaster monitoring sub-areas in the target period are determined, specifically including: According to the position of the quantized value of the probability of geological disasters in each geological disaster monitoring sub-area within different numerical ranges, several geological disaster monitoring sub-areas are divided into several geological disaster levels; Based on the mapping relationship between each geological disaster level and the corresponding standard monitoring frequency, the monitoring frequency of each geological disaster monitoring sub-area is determined, and the monitoring location coordinates determined by the monitoring frequency of each geological disaster monitoring sub-area and the regional scope of the geological disaster monitoring sub-area are used to construct the monitoring requirements of several geological disaster monitoring sub-areas in the target period.

[0009] Optionally, the step 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 includes: Acquire the geological disaster aerial monitoring resources of the geological disaster prevention and control center; wherein the geological disaster aerial monitoring resources include identification information of several aerial photography drones; Based on the identification information of several aerial photography drones, the status information, position information and maximum flight speed of each aerial photography drone are queried, and based on the status information, position information and maximum flight speed, a scheduling reference information set for each aerial photography drone is generated.

[0010] Optionally, the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area are extracted, the scheduling reference information set of each aerial photography UAV is considered, the monitoring frequency is used as the first constraint condition, the maximum flight speed is used as the second constraint condition, the state information is used as the third constraint condition, and the number of selected monitoring aerial photography UAVs is minimized as the optimization goal. The selection strategy of the target aerial photography UAV and the execution strategy steps of the monitoring aerial photography action of each target aerial photography UAV are optimized, specifically including: 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 and solve 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.

[0011] Optionally, when the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions of each geological disaster monitoring sub-area are obtained, the step of performing geological disaster analysis using the geological disaster monitoring aerial images to obtain the geological disaster analysis result specifically includes: 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; The geological disaster monitoring image feature set is input into a 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.

[0012] Optionally, it is determined whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm conditions. If so, the geological disaster prevention and control alarm of the corresponding geological disaster monitoring sub-area is executed, and the monitoring requirements of the corresponding geological disaster monitoring sub-area are adjusted, and the selection strategy and execution strategy steps are regenerated, which specifically include: Determine whether the geological disaster probability analysis result is in a disaster-pregnant period, and if so, execute a geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-area; The geological disaster level of the geological disaster monitoring sub-area that implements geological disaster prevention and control alarms is raised to the highest level, the monitoring requirements of the geological disaster monitoring sub-area are updated, and the selection strategy and execution strategy are regenerated using the updated monitoring requirements.

[0013] In addition, in order to achieve the above-mentioned purpose, the present invention also provides a geological disaster prevention and treatment device, comprising: A determination module is used to determine the monitoring needs of several geological disaster monitoring sub-areas during the target period based on the geological environment information and meteorological and hydrological information of the target prevention and control area; A generation module is 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 state information, location information and maximum flight speed; The extraction module is used to 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, take the monitoring frequency, maximum flight speed and status information as constraints, take the minimum number of selected monitoring aerial photography UAVs as the optimization goal, and 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; An execution module, used to control each target aerial photography UAV in the selection strategy to execute the monitoring aerial photography action in the corresponding execution strategy based on the selection strategy and the execution strategy; An analysis module is used to perform geological disaster analysis using the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area to obtain geological disaster analysis results; The alarm module is used to determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, the geological disaster prevention and control alarm is executed, and based on the geological disaster analysis results, the monitoring requirements of each geological disaster monitoring sub-area are adjusted, and the selection strategy and execution strategy are regenerated.

[0014] In addition, in order to achieve the above-mentioned purpose, 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 in 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 as described above are implemented.

[0015] In addition, in order to achieve the above-mentioned purpose, 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 the processor, the steps of the above-mentioned geological disaster prevention and control processing method are implemented.

[0016] 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 geological environment information and meteorological and hydrological information of the target prevention and control area, the monitoring requirements of each geological disaster monitoring sub-area in the target period are determined, and then by obtaining geological disaster aerial monitoring resources, a scheduling reference information set for each candidate aerial photography UAV is generated, with monitoring frequency, maximum flight speed and status information as constraints, and the minimum number of selected monitoring aerial photography UAVs 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, the monitoring aerial photography action of the target prevention and control area is executed, and the geological disaster prevention and control alarm and strategy update are executed according to the analysis results of the geological disaster monitoring aerial photography image, so as to reasonably plan the aerial photography paths and monitoring strategies of multiple UAVs in a large area, and at the same time as improving the efficiency of geological disaster monitoring and saving geological disaster aerial monitoring resources, the aerial photography paths and monitoring strategies of multiple UAVs can be updated and adjusted according to the specific circumstances of geological disaster monitoring and analysis, thereby improving the scene adaptability of geological disaster area monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention; Figure 2 A schematic diagram of a process for a geological disaster prevention and treatment method according to an embodiment of the present invention; Figure 3 It is a structural block diagram of a geological disaster prevention and control device in an embodiment of the present invention.

[0018] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] 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.

[0020] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with 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 intended to limit the present invention.

[0021] like Figure 1 As shown, Figure 1 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0022] like Figure 1 As 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), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also 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 it may be a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0023] Those skilled in the art will understand that Figure 1 The structure of the device shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0024] like Figure 1 As 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 processing program.

[0025] exist Figure 1 In the terminal shown, the network interface 1004 is mainly used to connect to the backend server and communicate data with the backend server; the user interface 1003 is mainly used to connect to the client (user end) and communicate data with the client; 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: 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. 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; Determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis results, adjust the monitoring requirements of each geological disaster monitoring sub-area, and regenerate the selection strategy and execution strategy.

[0026] The specific embodiments of the present invention applied to the device are basically the same as the embodiments of the following geological disaster prevention and control methods, and will not be described in detail here.

[0027] The embodiment of the present invention provides a method for preventing and treating geological disasters, referring to Figure 2 , Figure 2 It is a schematic diagram of the flow chart of an embodiment of the geological disaster prevention and control method of the present invention.

[0028] In this embodiment, a method for preventing and controlling geological disasters includes the following steps: S100: Determine the monitoring requirements of several geological disaster monitoring sub-areas during the target period based on the geological environment information and meteorological and hydrological information of the target prevention and control area; S200: 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 state information, location information and maximum flight speed; S300: extracting the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, considering the scheduling reference information set of each aerial photography UAV, taking the monitoring frequency, maximum flight speed and state information as constraints, taking the minimum number of selected monitoring aerial photography UAVs as the optimization goal, optimizing and solving 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; 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 action in the corresponding execution strategy; S500: When the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area are acquired, the geological disaster monitoring aerial images are used to perform geological disaster analysis to obtain geological disaster analysis results; S600: Determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm conditions. 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 execution strategy.

[0029] It should be noted that the existing geological disaster monitoring mainly adopts the solution of on-site instrument monitoring. However, on-site instrument monitoring has the disadvantages of high equipment failure rate due to the harsh outdoor environment, high fault repair and maintenance costs, and high deployment costs in large-area monitoring scenarios. The application of drone aerial photography technology can avoid the occurrence of the above problems, but many limitations still need to be considered in practical applications: (1) In large-area monitoring scenarios (such as large mountainous areas), 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 in each geological disaster monitoring area different at different times. When conducting drone aerial photography, it is necessary to match the corresponding aerial photography monitoring frequency. The location of each geological disaster monitoring area is different, and the aerial photography monitoring frequency of each geological disaster monitoring area will also change over time, which will undoubtedly bring difficulties to large-area monitoring sites. (1) It is difficult to plan the paths and strategies of multiple drones in the scene; (2) Different drones have different positions, states and flight capabilities when they start aerial photography. When planning the paths and strategies of drones, it is also necessary to consider the actual conditions of different drones 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 a geological disaster monitoring area is detected to be in a disaster-prone period, it is also necessary to adjust the frequency of aerial monitoring of the geological disaster monitoring area to obtain the status of the geological disaster monitoring area in a timely manner, so that the planning of drone aerial photography paths and strategies needs to have the function of temporary adjustment and update, which further increases the difficulty of monitoring geological disaster areas.

[0030] In order to solve the above problems, this embodiment determines the monitoring needs of each geological disaster monitoring sub-area during the target period, generates a scheduling reference information set for each candidate aerial photography UAV, takes the monitoring frequency, maximum flight speed and status information as constraints, and takes the minimum number of selected monitoring aerial photography UAVs as the optimization goal, optimizes 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, executes the monitoring aerial photography action and performs geological disaster prevention and control alarms and strategy updates based on the analysis results of the geological disaster monitoring aerial photography images, so as to reasonably plan the aerial photography paths and monitoring strategies of multiple UAVs in a large area, and can update and adjust the aerial photography paths and monitoring strategies of multiple UAVs while improving the efficiency of geological disaster monitoring and saving geological disaster aerial monitoring resources.

[0031] In a preferred embodiment, the steps 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 include: S110: Acquire geological environment information of the target prevention and control area and meteorological and hydrological information in the target period, and extract a number of geological disaster monitoring sub-areas from the target prevention and control area according to the topographic and geomorphic parameters in the geological environment information and the reference parameter range of geological disaster topographic and geomorphic parameters; S120: extracting a plurality of monitoring reference features from the rock and soil type data and the geological structure data in the meteorological and hydrological information and the geological environment information, and constructing the plurality of monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub-area; S130: Accessing a geological disaster reference database of historical geological disasters, querying a geological disaster historical reference array corresponding to each historical geological disaster, calculating the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and taking the highest set of similarities among several similarities as the geological disaster probability quantization value of each geological disaster monitoring sub-area; S140: Determine the monitoring requirements of several geological disaster monitoring sub-areas in the target period according to the quantified value of the geological disaster probability of each geological disaster monitoring sub-area.

[0032] Furthermore, according to the quantified value of the geological disaster probability of each geological disaster monitoring sub-area, the monitoring demand steps of several geological disaster monitoring sub-areas in the target period are determined, including: S141: dividing a plurality of geological disaster monitoring sub-areas into a plurality of geological disaster levels according to the position of the geological disaster probability quantization value of each geological disaster monitoring sub-area within different numerical ranges; S142: Based on the mapping relationship between each geological disaster level and the corresponding standard monitoring frequency, the monitoring frequency of each geological disaster monitoring sub-area is determined, and the monitoring location coordinates determined by the monitoring frequency of each geological disaster monitoring sub-area and the regional scope of the geological disaster monitoring sub-area are used to construct the monitoring requirements of several geological disaster monitoring sub-areas in the target period.

[0033] In this embodiment, by obtaining the geological environment information of the target prevention and control area and the meteorological and hydrological information in the target period, the topographic and geomorphological parameters in the geological environment information are used to extract several geological disaster monitoring sub-areas, and then the monitoring reference features are extracted from the rock and soil type data and geological structure data in the meteorological and hydrological information and the geological environment information, and the geological disaster prediction reference data is constructed. By calculating the similarity with the geological disaster historical reference array of historical geological disasters, the quantitative value of the geological disaster probability of each geological disaster monitoring sub-area is determined, and then the numerical range is divided into segments, and the corresponding geological disaster levels are assigned to different geological disaster monitoring areas. Finally, the monitoring requirements including the monitoring frequency and the monitoring location coordinates are generated, which provides data support for the subsequent solution of 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.

[0034] In a preferred embodiment, the steps of obtaining the geological disaster aerial monitoring resources of the geological disaster prevention and control center and generating the scheduling reference information set of each candidate aerial photography UAV based on the geological disaster aerial monitoring resources specifically include: S210: Acquire geological disaster aerial monitoring resources of the geological disaster prevention and control center; wherein the geological disaster aerial monitoring resources include identification information of several aerial photography drones; S220: Based on the identification information of several aerial photography drones, query the status information, position information and maximum flight speed of each aerial photography drone, and generate a scheduling reference information set for each aerial photography drone based on the status information, position information and maximum flight speed.

[0035] On this basis, 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 is taken as the first constraint condition, the maximum flight speed is taken as the second constraint condition, and the state information is taken as the third constraint condition. The optimization goal is to minimize the number of selected monitoring aerial photography UAVs. The selection strategy of the target aerial photography UAV and the execution strategy steps of the monitoring aerial photography action of each target aerial photography UAV are optimized, including: S310: extracting the monitoring location coordinates and monitoring frequency in the monitoring requirements of each geological disaster monitoring sub-area, and considering the scheduling reference information set of each aerial photography drone; S320: The first constraint condition is that the interval between two adjacent monitoring aerial photography actions in a number of 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 a number of 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; S330: Optimize and solve 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.

[0036] In this embodiment, by acquiring aerial monitoring resources for geological disasters, a scheduling reference information set for each candidate aerial photography UAV is generated, and the monitoring frequency, maximum flight speed and status information are used as constraints. The optimization goal is to minimize the number of selected monitoring aerial photography UAVs. 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. This can consider the joint influence of multiple factors, and reasonably and scientifically plan the aerial photography paths and monitoring strategies of multiple UAVs over a large area, thereby improving the efficiency of geological disaster monitoring and saving geological disaster aerial monitoring resources.

[0037] In a preferred embodiment, when the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions of each geological disaster monitoring sub-area are obtained, the geological disaster monitoring aerial images are used to perform geological disaster analysis, and the step of obtaining the geological disaster analysis result specifically includes: S510: when obtaining the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area, extracting image features from the geological disaster monitoring aerial images of the two adjacent monitoring aerial photography actions to construct a geological disaster monitoring image feature set; S520: Input the geological disaster monitoring image feature set into the pre-trained geological disaster prediction model to conduct 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 the initial convolutional neural network to obtain a prediction model.

[0038] On this basis, it is determined whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, the geological disaster prevention and control alarm of the corresponding geological disaster monitoring sub-area is executed, and the monitoring requirements of the corresponding geological disaster monitoring sub-area are adjusted, and the selection strategy and execution strategy steps are regenerated, which specifically include: S610: Determine whether the geological disaster probability analysis result is in a disaster-pregnant period, and if so, execute a geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-area; S620: Raise the geological disaster level of the geological disaster monitoring sub-area that executes geological disaster prevention and control alarms to the highest level, update the monitoring requirements of the geological disaster monitoring sub-area, and use the updated monitoring requirements to regenerate the selection strategy and execution strategy.

[0039] In this embodiment, after obtaining the initial target aerial photography drone selection strategy and the execution strategy of the monitoring aerial photography action of each target aerial photography drone, the monitoring aerial photography action of the target prevention and control area is executed, and the geological disaster prevention and control alarm and strategy update are performed according to the analysis results of the geological disaster monitoring aerial photography images. In this way, the multi-drone aerial photography paths and monitoring strategies can be updated and adjusted according to the specific circumstances of geological disaster monitoring and analysis, thereby improving the scene adaptability of geological disaster area monitoring.

[0040] Reference Figure 3 , Figure 3 It is a structural block diagram of an embodiment of the geological disaster prevention and treatment device of the present invention.

[0041] like Figure 3 As shown, the geological disaster prevention and treatment device proposed in the embodiment of the present invention includes: The determination module 10 is used to determine 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; A generation module 20 is 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 state information, location information and maximum flight speed; The extraction module 30 is used to 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 UAV, take the monitoring frequency, maximum flight speed and state information as constraints, take the minimum number of selected monitoring aerial photography UAVs as the optimization goal, and 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; An execution module 40 is used to control each target aerial photography UAV in the selection strategy to execute the monitoring aerial photography action in the corresponding execution strategy based on the selection strategy and the execution strategy; An analysis module 50 is used to perform geological disaster analysis using the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area to obtain a geological disaster analysis result; The alarm module 60 is used to determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, it executes the geological disaster prevention and control alarm, and based on the geological disaster analysis results, adjusts the monitoring requirements of each geological disaster monitoring sub-area, and regenerates the selection strategy and execution strategy.

[0042] Other embodiments or specific implementation methods of the geological disaster prevention and control device of the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0043] In addition, the present invention also proposes a geological disaster prevention and control processing device, which includes: a memory, a processor, and a geological disaster prevention and control processing program stored in 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 as described above are implemented.

[0044] The specific implementation methods of the geological disaster prevention and control equipment of the present application are basically the same as the embodiments of the above-mentioned geological disaster prevention and control methods, and will not be repeated here.

[0045] In addition, the present invention also proposes 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 may also be at least one of a ROM (Read-Only Memory) / RAM (Random Access Memory), a magnetic disk, and an optical disk. The readable storage medium includes a number of instructions for enabling a geological disaster prevention and control device with a processor to execute the geological disaster prevention and control methods described in the various embodiments of the present invention.

[0046] The specific implementation methods in the readable storage medium of the present application are basically the same as the embodiments of the above-mentioned geological disaster prevention and control methods, and will not be repeated here.

[0047] It is understood that, in the description of this specification, the description with reference to the terms "one embodiment", "another embodiment", "other embodiments", or "first to Nth embodiments" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0048] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0049] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0050] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course 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 is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0051] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for preventing and controlling geological disasters, 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. 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; Determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, execute the geological disaster prevention and control alarm, and based on the geological disaster analysis results, adjust the monitoring requirements of each geological disaster monitoring sub-area, and regenerate the selection strategy and execution strategy.

2. The method for preventing and treating geological disasters according to claim 1, characterized in that: According to the geological environment information and meteorological and hydrological information of the target prevention and control area, the monitoring requirements of several geological disaster monitoring sub-areas in the target period are determined, including: Acquire geological environment information of the target prevention and control area and meteorological and hydrological information in the target period, and extract a number of geological disaster monitoring sub-areas from the target prevention and control area according to the topographic and geomorphic parameters in the geological environment information and the reference parameter range of geological disaster topographic and geomorphic parameters; Extracting a plurality of monitoring reference features from the rock and soil type data and the geological structure data in the meteorological and hydrological information and the geological environment information, and constructing the plurality of monitoring reference features into a geological disaster prediction reference array corresponding to the geological disaster monitoring sub-area; Accessing a geological disaster reference database of historical geological disasters, querying a geological disaster historical reference array corresponding to each historical geological disaster, calculating the similarity between the geological disaster prediction reference array and the monitoring reference features in several geological disaster historical reference arrays, and taking the highest set of similarities among several similarities as a geological disaster probability quantization value for each geological disaster monitoring sub-area; Based on the quantitative value of the geological disaster probability of each geological disaster monitoring sub-area, the monitoring needs of several geological disaster monitoring sub-areas in the target period are determined.

3. The geological disaster prevention and treatment method according to claim 2, characterized in that: According to the quantified value of the geological disaster probability of each geological disaster monitoring sub-area, the monitoring demand steps for several geological disaster monitoring sub-areas in the target period are determined, including: According to the position of the quantized value of the probability of geological disasters in each geological disaster monitoring sub-area within different numerical ranges, several geological disaster monitoring sub-areas are divided into several geological disaster levels; Based on the mapping relationship between each geological disaster level and the corresponding standard monitoring frequency, the monitoring frequency of each geological disaster monitoring sub-area is determined, and the monitoring location coordinates determined by the monitoring frequency of each geological disaster monitoring sub-area and the regional scope of the geological disaster monitoring sub-area are used to construct the monitoring requirements of several geological disaster monitoring sub-areas in the target period.

4. The geological disaster prevention and treatment 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 the scheduling reference information set of each candidate aerial photography UAV based on the geological disaster aerial monitoring resources specifically include: Acquire the geological disaster aerial monitoring resources of the geological disaster prevention and control center; wherein the geological disaster aerial monitoring resources include identification information of several aerial photography drones; Based on the identification information of several aerial photography drones, the status information, position information and maximum flight speed of each aerial photography drone are queried, and based on the status information, position information and maximum flight speed, a scheduling reference information set for each aerial photography drone is generated.

5. The method for preventing and treating geological disasters according to claim 1, characterized in that: 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 is taken as the first constraint condition, the maximum flight speed is taken as the second constraint condition, and the state information is taken as the third constraint condition. The optimization goal is to minimize the number of selected monitoring aerial photography UAVs. The selection strategy of the target aerial photography UAV and the execution strategy steps of the monitoring aerial photography action of each target aerial photography UAV are optimized, including: 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 and solve 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.

6. The method for preventing and treating geological disasters according to claim 1, characterized in that: 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 step of performing geological disaster analysis using the geological disaster monitoring aerial images to obtain the geological disaster analysis result specifically includes: 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; The geological disaster monitoring image feature set is input into a 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.

7. The geological disaster prevention and treatment method according to claim 3, characterized in that: Determine whether the geological disaster probability analysis result meets the geological disaster prevention and control alarm conditions. If so, execute the geological disaster prevention and control alarm of the corresponding geological disaster monitoring sub-area, adjust the monitoring requirements of the corresponding geological disaster monitoring sub-area, and regenerate the selection strategy and execution strategy steps, specifically including: Determine whether the geological disaster probability analysis result is in a disaster-pregnant period, and if so, execute a geological disaster prevention and control alarm for the corresponding geological disaster monitoring sub-area; The geological disaster level of the geological disaster monitoring sub-area that implements geological disaster prevention and control alarms is raised to the highest level, the monitoring requirements of the geological disaster monitoring sub-area are updated, and the selection strategy and execution strategy are regenerated using the updated monitoring requirements.

8. A geological disaster prevention and treatment device, characterized in that: include: A determination module is used to determine the monitoring needs of several geological disaster monitoring sub-areas during the target period based on the geological environment information and meteorological and hydrological information of the target prevention and control area; A generation module is 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 state information, location information and maximum flight speed; The extraction module is used to 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, take the monitoring frequency, maximum flight speed and status information as constraints, take the minimum number of selected monitoring aerial photography UAVs as the optimization goal, and 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; An execution module, configured to control each target aerial photography UAV in the selection strategy to execute a monitoring aerial photography action in a corresponding execution strategy based on the selection strategy and the execution strategy; An analysis module is used to perform geological disaster analysis using the geological disaster monitoring aerial images collected by two adjacent monitoring aerial photography actions in each geological disaster monitoring sub-area to obtain geological disaster analysis results; The alarm module is used to determine whether the geological disaster probability analysis results meet the geological disaster prevention and control alarm conditions. If so, the geological disaster prevention and control alarm is executed, and based on the geological disaster analysis results, the monitoring requirements of each geological disaster monitoring sub-area are adjusted, and the selection strategy and execution strategy are regenerated.

9. A geological disaster prevention and treatment equipment, characterized in that: The geological disaster prevention and control processing equipment includes: a memory, a processor, and a geological disaster prevention and control processing program stored in 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 as described in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a geological disaster prevention and control processing program, which, when executed by a processor, implements the steps of the geological disaster prevention and control method as described in any one of claims 1 to 7.

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