Regional intrusion judgment method, system and device for outdoor complex scene and medium

Abstract

The invention relates to the field of image equipment, in particular to a region intrusion judgment method, system and device for an outdoor complex scene and a medium. Comprising the following steps: receiving abnormal monitoring information sent back by an outdoor terminal; obtaining a corresponding reserve land first-level supervision area based on the abnormal monitoring information; analyzing an abnormal intrusion behavior in the first-level supervision area of the reserve land, and judging whether the abnormal intrusion behavior causes a dangerous event to the current reserve land or not; if yes, starting an early warning processing plan; and if not, performing secondary judgment on the current abnormal intrusion behavior, constructing an overlapped supervision area based on the current reserve land area, and performing a temporary intrusion supervision plan on the abnormal intrusion behavior of the overlapped supervision area for judgment. And the supervision precision of the complex outdoor scene reserve land is effectively improved.

Description

Technical Field

[0001] The present application relates to the field of image devices, and in particular, to a method, system, device, and medium for judging regional intrusion in complex outdoor scenarios. Background Art

[0002] Reserved land refers to the land that has been legally acquired by the government in accordance with the regulations of the national reserved land management measures. The management and protection of reserved land refers to the management behavior of being entrusted to a company for care and management to prevent the infringement of the rights of reserved land.

[0003] The entrusted company needs to conduct on-site inventory and verification of the location of the reserved land under management, the management red line, the land area, the quantity and area of above-ground buildings (structures), the status of other attachments, the status of the landform, etc., and make a management responsibility list of the on-site inventory and verification. Prevent the occurrence of acts of infringing on the rights of reserved land. Effective measures can also be taken to manage and protect the reserved land, promptly discover and stop acts of illegally occupying and damaging the current situation of the reserved land, prevent new illegal construction, illegal dumping of soil, illegal logging of forests, and discharge of pollutants within the reserved land, as well as reclamation within the construction land scope, and be responsible for the daily cleaning work of the reserved land and simple greening work within the land.

[0004] Due to the uncertainty of the area where the reserved land is located, some of the surrounding land of the reserved land has been put into normal development and use, resulting in the presence of people, animals, vehicles, and other foreign objects around the supervised reserved land, which may enter the reserved land irregularly. Therefore, it is urgent to appropriately adjust the supervision accuracy and supervision method of the reserved land in complex outdoor scenarios. Summary of the Invention

[0005] In order to improve the supervision accuracy of reserved land in complex outdoor scenarios, the present application provides a method, system, device, and medium for judging regional intrusion in complex outdoor scenarios.

[0006] In the first aspect, a method for judging regional intrusion in complex outdoor scenarios provided by the present application adopts the following technical solution: A method for judging regional intrusion in complex outdoor scenarios includes the following steps: Receiving abnormal monitoring information sent back by an outdoor terminal; Obtaining a corresponding first-level supervision area of the reserved land based on the abnormal monitoring information; Analyzing abnormal intrusion behaviors within the first-level supervision area of the reserved land, and judging whether the abnormal intrusion behaviors cause dangerous events to the current reserved land; If so, starting an early warning processing plan; If not, make a secondary judgment on the current abnormal intrusion behavior and construct an overlapping supervision area based on the current reserved land area, and execute a temporary intrusion supervision plan to judge the abnormal intrusion behavior in the overlapping supervision area.

[0007] By adopting the above technical solution: if there are many people around the reserved land, it is necessary to judge the abnormal intrusion behavior of the strange animals invading the reserved land; If a dangerous event is caused, for example: if there are behaviors such as long-term occupation of the reserved land / destruction of the reserved land, it can be judged that the intrusion behavior of the current strange animal causes a dangerous event to the reserved land, and then the supervision personnel need to activate the early warning processing plan to handle the dangerous event accordingly; If no dangerous event is caused, for example: only the behaviors of nearby residents / small animals entering the reserved land for passing / taking a temporary rest, etc., it is necessary to make a secondary judgment on the behaviors (abnormal intrusion behaviors) of the strange animals entering the reserved land, and construct an overlapping supervision area for the intrusion range of the strange animals. If the strange animals do not cause further dangerous events in the overlapping supervision area, some strange animals are allowed to enter the reserved land briefly, reducing the possibility of false alarms of the system for the intrusion of strange animals, thereby improving the supervision accuracy of various reserved lands in complex outdoor scenarios, and making a humanized adjustment to the supervision method, which can not affect the normal living patterns of local residents and animals.

[0008] Optionally, the step of analyzing the abnormal intrusion behavior in the first-level supervision area of the reserved land and judging whether the abnormal intrusion behavior causes a dangerous event to the current reserved land specifically includes the following sub-steps: Obtain strange animals based on the abnormal monitoring information and identify the strange animals, and export the identification results, where the identification results include residents, animals, and vehicles; If the identification result is a resident or an animal, identify the intrusion path of the strange animal invading the first-level supervision area of the reserved land and calculate the intrusion duration; When the length of the intrusion path or the intrusion duration exceeds the threshold, it is judged that the abnormal intrusion behavior causes a dangerous event to the current reserved land; if the identification result is a vehicle, identify the intrusion behavior of the strange animal invading the first-level supervision area of the reserved land, and the intrusion behaviors include driving through, parking, and separation of people and vehicles; When the identified intrusion behavior is parking or separation of people and vehicles, it is judged that the abnormal intrusion behavior causes a dangerous event to the current reserved land.

[0009] By adopting the above technical solution, the strange animals entering the supervision area of the reserved land can be identified, and the types of strange animals can be initially obtained, so that action recognition can be carried out according to different animal types, thereby improving the accuracy of action analysis.

[0010] Optionally, the step of making a secondary judgment on the current abnormal intrusion behavior and constructing an overlapping supervision area based on the current reserved land area specifically includes the following sub-steps: Based on the path tracking algorithm, record the moving trajectory coordinates of the abnormal animal and store the intrusion path in the form of a sequence of moving trajectory coordinate points; analyze the intrusion actions of the abnormal animal and predict the predicted intrusion path of the abnormal animal; Construct an overlapping supervision area based on the predicted intrusion path; If the actual intrusion path deviates from the predicted intrusion path by more than the threshold and exceeds the current overlapping supervision area, it is determined that the abnormal animal currently invading causes a dangerous event.

[0011] By adopting the above technical solution, with the help of the big data of the intrusion behavior of abnormal animals and the deep neural network model, each current intrusion action of the invading abnormal animal can be analyzed in real time, and multiple branch predicted intrusion paths that the abnormal animal may take subsequently can be predicted; Furthermore, relying on the predicted intrusion path, the spatial geometric dynamic programming algorithm can be used to construct an overlapping supervision area. This area is not a fixed and rigid mode, but dynamically adjusts the boundary and scope according to the real-time predicted path; once it is detected that the actual intrusion path deviates from the predicted intrusion path by more than the threshold and exceeds the current dynamically adapted overlapping supervision area, immediately judge according to the multi-source risk assessment model that the abnormal animal currently invading is likely to cause a dangerous event.

[0012] Optionally, the step of constructing an overlapping supervision area based on the predicted intrusion path specifically further includes the following sub-steps: Perform grid processing on the reserved land space, and assign spatial coordinates, terrain attributes, and scene features to each grid; Taking the predicted intrusion path as the guide and the starting point as the core diffusion source, according to the moving speed of the abnormal animal, the turning probability, and the passability and concealment factors of the surrounding environment, calculate and outline the contour of the most suitable supervision range in real time.

[0013] By adopting the above technical solution, if the predicted intrusion path is close to the densely populated area of residential buildings, considering the personnel safety risk, the grid weight is inclined to expand the protection range, and priority is given to ensuring that the residential activity area is included in the key supervision; if it is near a complex wild green plant area, combined with the hindrance or cover effect of the vegetation height and density on the movement of animals, dynamically adjust the selection and connection method of the grid, accurately define the supervision boundary, and realize the transformation from fixed area division to follow-up and intelligent definition.

[0014] Optionally, the step of judging the abnormal intrusion behavior in the overlapping supervision area by executing the temporary intrusion supervision plan specifically includes the following sub-steps: When it is recognized that there is an abnormal animal in the overlapping supervision area and after the abnormal animal leaves the overlapping supervision area, detect whether there are any remaining foreign objects in the current primary supervision area and the overlapping supervision area; If it exists, mark the alien animal to prevent it from entering the primary supervision area or overlapping supervision area again, and at the same time send a report on the residual foreign matter to be cleaned up.

[0015] By adopting the above technical solution, the foreign matter remaining in the reserved land can be cleaned up as soon as possible, and at the same time, the alien animal causing the residual foreign matter is marked, reducing the possibility of the alien animal entering the reserved land again and causing secondary residual foreign matter.

[0016] Optionally, the content of the report on the residual foreign matter includes the position coordinates of the residual foreign matter, the estimated cleaning difficulty, and the recommended cleaning time limit.

[0017] Optionally, determine whether the abnormal intrusion behavior causes a dangerous event to the current reserved land, and construct a risk assessment model; refine the risk assessment based on the following formula: Risk value = ∑(hazard coefficient of each intrusion factor × corresponding weight); Hazard coefficient of intrusion behavior type: Construction damage is recorded as A, garbage dumping is recorded as B, and deliberate arson is recorded as C, which can be flexibly set in the system according to the actual harm degree. Hazard coefficient of intrusion duration: For every 30 seconds exceeded, the hazard coefficient increases by 1. Let the duration be t seconds, and its hazard coefficient is Hazard coefficient of the distance between the intrusion location and the key facility: In the form of a Gaussian function, let the distance be d meters and the influence radius of the key facility be r = 10 meters, and the hazard coefficient is Weight setting: The weight of the intrusion behavior type is set as M, the weight of the intrusion duration is set as N, and the weight of the distance between the intrusion location and the key facility is set as X, and M + N + X = 1.

[0018] By adopting the above technical solution, it can be adjusted according to the actual situation. Judge according to the pre-set risk threshold. If the risk value is greater than or equal to the threshold, it is determined as a dangerous event.

[0019] In a second aspect, the regional intrusion judgment system for outdoor complex scenarios provided by the present application adopts the following technical solution: The regional intrusion judgment system for outdoor complex scenarios includes: A control terminal for executing the regional intrusion judgment method for outdoor complex scenarios; Multiple offline terminals for collecting real-time image information in each reserved land; Multiple feedback terminals for the supervisors in each reserved land to receive real-time feedback information; A data processing module for processing the real-time image information transmitted back by each offline terminal and feeding the processing result back to the control terminal.

[0020] In a third aspect, the computer device provided by the present application adopts the following technical solution: A computer device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method for judging regional intrusion in a complex outdoor scenario is implemented.

[0021] By adopting the above technical solution, a computer device capable of implementing the above-mentioned method for judging regional intrusion in a complex outdoor scenario is provided.

[0022] In a fourth aspect, the computer-readable storage medium provided by this application adopts the following technical solution: A computer-readable storage medium stores a computer program; when the computer program is executed by a processor, the above-mentioned method for judging regional intrusion in a complex outdoor scenario is implemented.

[0023] By adopting the above technical solution, a carrier for the computer program of the method for judging regional intrusion in a complex outdoor scenario is provided.

[0024] In summary, this application includes at least the following beneficial technical effects: 1. If a dangerous event is caused, for example: if there are behaviors such as long-term occupation of reserved land / destruction of reserved land, etc., it can be judged that the intrusion behavior of the current abnormal animal causes a dangerous event to the reserved land, and then the supervisor needs to activate the early warning treatment plan to handle the dangerous event accordingly; 2. If no dangerous event is caused, for example: only behaviors such as nearby residents / small animals entering the reserved land for passing / temporarily resting, etc., it is necessary to make a secondary judgment on the behaviors (abnormal intrusion behaviors) of the abnormal animals entering the reserved land, and construct an overlapping supervision area for the intrusion range of the abnormal animals. If the abnormal animals do not cause further dangerous events to the reserved land within the overlapping supervision area, some abnormal animals are allowed to enter the reserved land briefly, reducing the possibility of false alarms of the system for the intrusion of abnormal animals, thereby improving the supervision accuracy of various reserved lands in a complex outdoor scenario, and making a humanized adjustment to the supervision method, which can not affect the normal living patterns of local residents and animals. Description of the Drawings

[0025] Figure 1 is a flowchart of the regional intrusion judgment system in a complex outdoor scenario in this application; Figure 2 is a flowchart of the method for judging regional intrusion in a complex outdoor scenario in this application; Figure 3 is a schematic diagram of the intrusion routes of outdoor animals and pedestrians in this application.

[0026] Description of the Reference Numerals: 1. Control terminal; 2. Offline terminal; 3. Feedback terminal; 4. Data processing module. Detailed implementation manners

[0027] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the following further elaborates on the present application in conjunction with the appended Figures 1 - 3 drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] The embodiment of the present application discloses a method for judging regional intrusion in outdoor complex scenarios.

[0029] Referring to Figure 1 and Figure 2 , the method for judging regional intrusion in outdoor complex scenarios includes the following steps: S100: Receive abnormal monitoring information sent back by an outdoor terminal.

[0030] Specifically, in this embodiment, the offline terminal 2 includes a monitoring information collection device and a site device. After the reserve land takes over the supervision, the supervisor will, according to the actual situation of the reserve land, install monitoring information collection devices such as a pan-tilt, a thermal imaging device, and a high-definition camera on site that can monitor the on-site situation of the reserve land in real time. If the area of the reserve land is too large, a separate personnel supervision booth needs to be set up on the reserve land site. The site device in the supervision booth (for example: intelligent devices such as an edge computing gateway and an industrial router that can perform real-time analysis and processing on the collected monitoring data near the data source) can initially collect the monitoring information collected by various outdoor terminals within the current reserve land, so that the personnel in the supervision booth can remotely view; then the site device sends the monitoring information to the control end 1, so that the supervisor can centrally supervise all the reserve lands within the jurisdiction.

[0031] Then the control end 1 imports the received monitoring information into the data processing module 4, and the data processing module 4 monitors whether there is any abnormality in each monitoring information. If there is an abnormality, the data processing module 4 feeds back the abnormal monitoring information to the control end 1.

[0032] It is also possible to connect the data processing module 4 to each site device, and the supervision booths at each place directly perform intelligent supervision on the local reserve land. If there is an abnormality, the data processing module 4 sends the abnormal information to the corresponding feedback terminal 3, so that the supervisors in the supervision booth can timely handle the abnormality through the feedback terminal 3.

[0033] S200: Obtain the corresponding first-level supervision area of the reserve land based on the abnormal monitoring information.

[0034] Referring to Figure 2 and Figure 3, specifically, when the control terminal 1 receives the abnormal monitoring information, it obtains the primary supervision area within the corresponding reserved land according to the reserved land number that feeds back the abnormal monitoring information, and determines whether the intrusion behavior that triggers the current abnormality occurs within the primary supervision area. If so, step S300 is executed. If not, the abnormal behavior is judged to determine whether the abnormal behavior violates relevant regulations such as public security regulations. If so, the supervision personnel execute the corresponding public security plan.

[0035] For example, if the current reserved land is located in an area with relatively dense personnel access, when a passing drunk person enters the monitoring range and behaviors such as passing out or temporarily lying down occur within the monitoring range, an abnormality in the data processing module 4 will be triggered. However, the behavior of the person passing out, etc. does not occur within the reserved land (primary supervision area), but only on the edge side of the reserved land, so it does not fall within the scope of responsibilities of the reserved land supervision party. The supervision personnel only need to handle such situations through public security plans such as calling the police or remotely shouting.

[0036] S300: Analyze the abnormal intrusion behavior within the primary supervision area of the reserved land, and determine whether the abnormal intrusion behavior causes a dangerous event to the current reserved land; For example, if a passing person has behaviors such as passing out, fighting, or dumping construction waste (abnormal intrusion behavior) within the reserved land (primary supervision area), it can be determined that the current abnormal intrusion behavior causes a dangerous event to the reserved land.

[0037] Furthermore, in order to reduce misjudgment and not affect the life convenience of the original personnel in the reserved land, when a nearby passing person / animal (hereinafter collectively referred to as a different animal) enters the reserved land (i.e., the primary supervision area) only for temporary passage, enters the reserved land for only 10 - 50 seconds, and the route passed through is a small part of the reserved land that directly passes through (without entering the overlapping supervision area), there will also be no abnormal alarm when the current intrusion behavior occurs, and the supervision personnel do not need to make further early warning plan processing for such intrusion behaviors.

[0038] Specifically, constructing an overlapping supervision area can achieve key supervision of important resources within the reserved land (such as lakes, minerals, original rare vegetation, etc.), without affecting the life convenience of the local original personnel, and can also reduce abnormal alarm situations caused by conventional intrusion behaviors, which can reduce the work intensity of the supervision personnel.

[0039] In this embodiment, the step of analyzing the abnormal intrusion behavior within the primary supervision area of the reserved land specifically includes the following sub - steps: Obtain different animals based on the abnormal monitoring information and identify the different animals, and export the identification results. The identification results include residents, animals, and vehicles; The first case: If the recognition result is a resident or an animal, then identify the intrusion path of the alien animal into the first-level supervision area of the reserved land and calculate the intrusion duration; when the length of the intrusion path or the intrusion duration exceeds the threshold, it is determined that the abnormal intrusion behavior causes a dangerous event to the current reserved land; The second case: If the recognition result is a vehicle, then identify the intrusion behavior of the alien animal into the first-level supervision area of the reserved land. The intrusion behaviors include driving through, parking, and separation of people and vehicles; when the recognized intrusion behavior is parking or separation of people and vehicles, it is determined that the abnormal intrusion behavior causes a dangerous event to the current reserved land.

[0040] Based on the above solution, alien animals entering the supervision area of the reserved land can be identified, and the types of alien animals can be initially obtained, so that action recognition can be carried out according to different animal species, thereby improving the accuracy of action analysis.

[0041] Furthermore, it can be determined whether the abnormal intrusion behavior causes a dangerous event to the current reserved land, and a risk assessment model is constructed; the risk assessment is refined based on the following formula: Risk value = ∑(hazard coefficient of each intrusion factor × corresponding weight); Hazard coefficient of intrusion behavior type: Construction damage is recorded as A, garbage dumping is recorded as B, and deliberate arson is recorded as C, which can be flexibly set in the system according to the actual harm degree; Hazard coefficient of intrusion duration: For every 30 seconds exceeded, the hazard coefficient increases by 1. Let the duration be t seconds, and its hazard coefficient is Hazard coefficient of the distance between the intrusion location and the key facility: In the form of a Gaussian function. Let the distance be d meters and the influence radius of the key facility be r = 10 meters. The hazard coefficient is Weight setting: The weight of the intrusion behavior type is set as M, the weight of the intrusion duration is set as N, and the weight of the distance between the intrusion location and the key facility is set as X, where M + N + X = 1.

[0042] The closer to the key facility, the faster the hazard coefficient grows, which conforms to the actual risk characteristics; judgment is made according to the pre-set risk threshold. If the risk value is greater than or equal to the threshold, it is determined as a dangerous event.

[0043] In summary, based on the judgment in step S300, the following judgment results can be obtained: If so, start the early warning processing plan; If not, make a secondary judgment on the current abnormal intrusion behavior and construct an overlapping supervision area based on the current reserved land area, and execute the temporary intrusion supervision plan for the abnormal intrusion behavior in the overlapping supervision area for judgment.

[0044] In step S300: The secondary judgment of the current abnormal intrusion behavior and the construction of an overlapping supervision area based on the current reserved land area specifically include the following sub-steps: S310: Record the moving trajectory coordinates of the abnormal object based on the path tracking algorithm and store the intrusion path in the form of a sequence of moving trajectory coordinate points; S320: Analyze the intrusion actions of the abnormal object and predict the predicted intrusion path of the abnormal object; Specifically, based on the self-developed multi-sensor fusion path tracking algorithm, the moving trajectory coordinates of the abnormal object are recorded at ultra-high frequencies, abandoning the traditional rough recording method, and the intrusion path is stored in real time in the form of a sequence of moving trajectory coordinate points with micro-nano level accuracy, ensuring that every subtle movement turn is accurately listed. Moreover, with the help of real-time updated behavioral big data and deep neural network models, each current intrusion action of the invading abnormal object is analyzed in real time to predict multiple branch predicted intrusion paths that the abnormal object may take in the future, fully considering the uncertainty of the behavior trend of animals under various complex factors such as environmental stimuli and instinctive drives.

[0045] S330: Construct an overlapping supervision area based on the predicted intrusion path; Specifically, relying on the predicted intrusion path, the spatial geometric dynamic programming algorithm is used to construct an overlapping supervision area. This area is not a fixed and rigid mode, but dynamically adjusts the boundary, scope and supervision level according to the real-time predicted path. Most importantly, the built-in intelligent comparison engine in the system always remains vigilant. Once it detects that the actual intrusion path deviates from the predicted intrusion path by more than the threshold and exceeds the currently dynamically adapted overlapping supervision area, it immediately judges according to the multi-source risk assessment model that the currently invading abnormal object is likely to cause a dangerous event, and simultaneously triggers a multi-modal early warning processing plan, pushing an alarm containing key information such as danger details, accurate location, and potential hazard level to the surrounding associated feedback terminal 3 to comprehensively ensure the safety of the area.

[0046] In this embodiment, the step of constructing an overlapping supervision area based on the predicted intrusion path in step S330 specifically further includes the following sub-steps: S331: Grid the reserved land space, and each grid is given spatial coordinates, terrain attributes, and scene features; the terrain attributes can be slope, height difference, etc., and the scene features can be identifiers such as residential buildings, green plants, and water areas.

[0047] S332: Taking the predicted intrusion path as the guide and the starting point as the core diffusion source, according to the moving speed, turning probability of the abnormal object, and the passability and concealment factors of the surrounding environment, calculate and outline the contour of the most suitable supervision range in real time.

[0048] First, comprehensively analyze the biological habit data of alien species to determine the average moving speed range and turning probability distribution in different environments. For example, in relatively open areas without obvious obstacles, their moving speed may be faster and the turning probability is relatively low; while in areas with complex terrain or dense vegetation, the moving speed will slow down and the turning probability will increase.

[0049] Next, combine the terrain attributes (such as slope, height difference, etc.) and scene features (such as signs of residential buildings, green plants, water areas, etc.) of each grid after the grid processing of the reserved land space to evaluate the passability of the surrounding environment. For areas with a large slope, the moving speed of alien animals will be significantly restricted and the passability is relatively low; while in areas with frequent human activities such as residential buildings, it may deter alien animals and cause them to avoid, and the passability is also correspondingly reduced. At the same time, considering natural barriers such as water areas, which play a blocking role in the movement of alien animals, the passability is almost zero.

[0050] Regarding the concealment factor, analyze the scene features of each grid. For example, areas with dense green plants can provide better concealment conditions for alien animals, making them more inclined to move and stay here, thus affecting their movement paths and supervision ranges.

[0051] Based on the above comprehensive analysis of the moving speed, turning probability of alien animals, and the passability and concealment of the surrounding environment, use Geographic Information System (GIS) technology and related algorithms to calculate and outline the most suitable supervision range contour in the current situation in real time. During the calculation process, dynamically update the supervision range contour to adapt to the real-time movement situation of alien animals and environmental changes. At the same time, considering the possible uncertainties, appropriately extend the supervision range contour to ensure that it can effectively cover the areas where alien animals may appear.

[0052] For example, using GIS technology and related algorithms to achieve the dynamic update of the supervision range contour mainly includes steps such as data collection and processing, model establishment and algorithm selection, real-time calculation and update. The following is a specific introduction: (1) Data collection and processing Alien animal data: Collect real-time position, moving speed, turning and other data of alien animals through sensor networks, positioning devices, etc. For example, use positioning methods such as radar positioning to obtain their coordinate information and moving speed vectors in real time.

[0053] Environmental data: Use the GIS system to obtain the geographical data of the surrounding environment, including terrain and landforms, roads, building distributions, etc., as well as attribute data such as the passability and concealment of the environment. The passability can be determined according to factors such as the slope of the terrain and vegetation coverage, and the concealment can be obtained by analyzing terrain shelters, vegetation density, etc.

[0054] (2) Model establishment and algorithm selection Build a prediction model: Based on the collected data, build a prediction model for the behavior of alien animals. For example, use a Hidden Markov Model or the like, and combine factors such as the moving speed and turning probability of alien animals to predict their possible future movement paths.

[0055] Select a path planning algorithm: Adopt a suitable path planning algorithm, such as the A* algorithm, Dijkstra algorithm, etc. According to the passability of the environment, plan a feasible movement path based on the predicted invasion path.

[0056] Determine the calculation method of the supervision range: According to the size, activity range, and possible behavior patterns of alien animals, determine an initial calculation method for the supervision range. For example, draw a circle with the current position of the alien animal as the center and its maximum activity radius as the radius as the preliminary supervision range.

[0057] (III) Real-time calculation and update Obtain data in real time: Through a data interface, obtain the latest position of alien animals and environmental change information in real time. For example, when an alien animal moves to a new position, the positioning device immediately transmits the new coordinate data to the GIS system.

[0058] Recalculate the supervision range: According to the new data, use the spatial analysis function of GIS and relevant algorithms to recalculate the outline of the supervision range. For example, if the moving speed of the alien animal increases, it may be necessary to expand the supervision range; if it turns into a more concealed area, the shape and size of the supervision range also need to be adjusted accordingly.

[0059] Dynamic update and display: Display the newly calculated outline of the supervision range on the GIS map in real time, replacing the original range outline to achieve dynamic update. At the same time, the GIS system can set the update frequency and adjust it reasonably according to the actual situation to balance the computing resources and real-time requirements.

[0060] (IV) Consider uncertainty and extension Analyze uncertainty factors: Analyze the uncertainty factors that may affect the behavior of alien animals and the supervision range, such as weather changes, sudden disturbances, etc. These factors may cause changes in the moving speed and turning probability of alien animals, or affect the passability and concealment of the environment.

[0061] Determine the extension strategy: According to the analysis results of uncertainty factors, formulate a reasonable extension strategy. For example, based on historical data and experience, determine a fixed extension ratio or distance to expand the outline of the supervision range outward. It is also possible to dynamically adjust the extension amplitude according to the real-time degree of uncertainty.

[0062] Implement extension: After calculating the outline of the supervision scope each time, perform extension according to the determined extension strategy and display the extended scope on the GIS map. This can ensure that in various uncertain situations, the areas where alien animals may appear can be effectively covered.

[0063] S340: If the actual intrusion path deviates from the predicted intrusion path by more than the threshold and exceeds the current overlapping supervision area, it is determined that the current alien animal intrusion causes a dangerous event.

[0064] S350: When an alien animal is identified in the overlapping supervision area and after the alien animal leaves the overlapping supervision area, detect whether there are residual foreign objects in the current primary supervision area and the overlapping supervision area; If there are, mark the alien animal to prevent it from entering the primary supervision area or the overlapping supervision area again, and at the same time send a report on the residual foreign objects to be cleaned up.

[0065] The content of the report on the residual foreign objects to be cleaned up includes the position coordinates of the residual foreign objects, the estimated cleaning difficulty, and the recommended cleaning time limit.

[0066] Based on the same design concept, this embodiment also discloses a regional intrusion judgment system for outdoor complex scenarios.

[0067] Reference Figure 1 and Figure 2 , the regional intrusion judgment system for outdoor complex scenarios includes: The control terminal 1 is used to execute the regional intrusion judgment method for outdoor complex scenarios; Multiple offline terminals 2 are used to collect real-time image information in each reserve land; Multiple feedback terminals 3 are used for supervisors in each reserve land to receive real-time feedback information; The data processing module 4 is used to process the real-time image information transmitted back by each offline terminal 2 and feedback the processing result to the control terminal 1.

[0068] This application also provides a computer-readable storage medium, which stores a program that can be loaded and executed by a processor to implement the above steps.

[0069] The computer-readable storage medium includes, for example: various media such as USB flash drives, external hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0070] Based on the same inventive concept, an embodiment of this application provides a computer device, including a memory and a processor, and a computer program capable of being loaded and executed by the processor to implement the above method is stored on the memory.

[0071] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0072] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.

[0073] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0074] In addition, the functional units in each embodiment of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0075] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical discs that can store program codes.

[0076] As described above, the above embodiments are only used to introduce the technical solutions of the present application in detail. However, the description of the above embodiments is only for helping to understand the method and its core idea of the present application, and should not be construed as a limitation of the present application. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present application should be covered within the protection scope of the present application.

Claims

1. A method for determining regional intrusion in outdoor complex scenes, characterized in that: The following steps are involved: Receive abnormal monitoring information sent back by outdoor terminals; Acquire the corresponding first-level supervision area of ​​the reserve land based on the abnormal monitoring information; Analyze abnormal intrusion behaviors in the primary supervision area of ​​reserve land and determine whether the abnormal intrusion behaviors will cause dangerous events to the current reserve land; If so, the early warning response plan is activated; If not, a secondary judgment is made on the current abnormal intrusion behavior and an overlapping supervision area is constructed based on the current reserve land area. The temporary intrusion supervision plan is implemented to judge the abnormal intrusion behavior in the overlapping supervision area.

2. The method for determining area intrusion in outdoor complex scenes according to claim 1 is characterized in that: The step of analyzing abnormal intrusion behavior within the primary supervision area of ​​the reserve land and determining whether the abnormal intrusion behavior causes a dangerous incident to the current reserve land specifically includes the following sub-steps: Acquire and identify foreign animals based on abnormal monitoring information, and derive identification results, wherein the identification results include residents, animals, and vehicles; If the identification result is a resident or an animal, the invasion path of the alien animal into the first-level supervision area of ​​the reserve land is identified and the invasion duration is calculated; When the intrusion path length or intrusion duration exceeds the threshold, it is judged that the abnormal intrusion behavior has caused a dangerous event to the current reserve land; if the identification result is a vehicle, the intrusion behavior of foreign animals invading the first-level supervision area of ​​the reserve land is identified, and the intrusion behavior includes driving through, parking, and separation of people and vehicles; When the intrusion behavior is identified as parking or separation of people and vehicles, it is judged that the abnormal intrusion behavior causes a dangerous event to the current reserve land.

3. The method for determining area intrusion in outdoor complex scenes according to claim 2 is characterized in that: The step of making a secondary judgment on the current abnormal invasion behavior and constructing an overlapping supervision area based on the current reserve land area specifically includes the following sub-steps: recording the movement trajectory coordinates of the alien animal based on the path tracking algorithm, and storing the invasion path in the form of a movement trajectory coordinate point sequence; analyzing the invasion action of the alien animal, and predicting the predicted invasion path of the alien animal; constructing overlapping regulatory regions based on the predicted invasion pathways; If the actual invasion path deviates from the predicted invasion path by more than a threshold and exceeds the current overlapping regulatory area, it is judged that the current invading alien animal has caused a dangerous event.

4. The method for determining area intrusion in outdoor complex scenes according to claim 3 is characterized in that: The step of constructing overlapping regulatory regions based on the predicted invasion paths specifically includes the following sub-steps: The reserved land space is processed into grids, and each grid is given spatial coordinates, terrain attributes, and scene characteristics; Guided by the predicted invasion path, with the starting point as the core diffusion source, the most suitable regulatory scope outline is calculated and outlined in real time based on the movement speed and turning probability of alien animals and the accessibility and concealment of the surrounding environment.

5. The method for determining area intrusion in outdoor complex scenes according to claim 1 is characterized in that: The step of judging the implementation of a temporary intrusion supervision plan for abnormal intrusion behavior in overlapping supervision areas specifically includes the following sub-steps: When it is identified that there are foreign animals in the overlapping supervision area and after the foreign animals leave the overlapping supervision area, it is detected whether there are residual foreign objects in the current primary supervision area and the overlapping supervision area; If present, the foreign animal will be marked to prevent it from entering the primary supervision area or the overlapping supervision area for the second time, and a report on residual foreign matter to be cleaned up will be sent at the same time.

6. The method for determining area intrusion in outdoor complex scenes according to claim 5 is characterized in that: The contents of the residual foreign matter to be reported include the location coordinates of the residual foreign matter, the estimated difficulty of cleaning, and the recommended cleaning time limit.

7. The method for determining area intrusion in outdoor complex scenes according to claim 3 is characterized in that: Determine whether abnormal intrusion behavior will cause a dangerous event to the current reserve land, and build a risk assessment model; refine the risk assessment based on the following formula: risk value = ∑ (hazard coefficient of each intrusion factor × corresponding weight); Danger coefficient of intrusion behavior type: construction damage is recorded as A, garbage dumping is recorded as B, and arson is recorded as C. It can be flexibly set in the system according to the actual degree of harm; Danger factor of intrusion duration: For every 30 seconds, the danger factor increases by 1. If the duration is t seconds, the danger factor is Danger coefficient of the distance between the intrusion location and the key facilities: Using the Gaussian function form, assuming the distance is d meters, the radius of influence of the key facilities is r = 10 meters, and the danger coefficient is Weight setting: The weight of the intrusion behavior type is set to M, the weight of the intrusion duration is set to N, the weight of the distance between the intrusion location and the key facilities is set to X, M+N+X=1.

8. The regional intrusion judgment system for outdoor complex scenes is characterized by: include: A control terminal (1), configured to execute the area intrusion determination method for outdoor complex scenes as described in any one of claims 1 to 7; A plurality of offline terminals (2) for collecting real-time image information within each reserve land; Multiple feedback terminals (3) for supervisors in each reserve land to receive real-time feedback information; The data processing module (4) is used to process the real-time image information transmitted back by each offline terminal (2) and feed back the processing result to the control terminal (1).

9. A computer device, characterized in that The method comprises a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for determining an area intrusion in a complex outdoor scene as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer storage medium stores a computer program; when the computer program is executed by the processor, the method for determining area intrusion in outdoor complex scenes as described in any one of claims 1 to 7 is implemented.

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