Method and system for driving away birds based on directional strong sound technology

Abstract

The present invention discloses a method and system for driving away birds based on directional strong sound technology, which is applied to the field of directional bird driving technology. The method comprises: obtaining regional bird situation record data of the target area by obtaining regional basic information of the target area. Based on the regional basic information and regional bird situation record data, bird situation detection equipment and ultrasonic bird driving equipment are deployed in the target area to obtain a bird situation detection submodule and a directional strong sound bird driving submodule. Bird situation detection is performed on the target area according to the bird situation detection submodule to obtain regional bird situation detection data. Bird driving decision analysis is performed based on the regional bird situation detection data to obtain a regional bird driving decision. The regional bird driving decision is sent to the directional strong sound bird driving submodule, and the directional strong sound bird driving submodule performs directional bird driving on the target area according to the regional bird driving decision. The technical problem that the bird driving method in the prior art has low pertinence for driving away different types of bird flocks and poor driving effect is solved.

Description

Technical Field

[0001] The present invention relates to the field of directional bird driving, and in particular to a method and system for driving birds based on directional strong sound technology. Background Art

[0002] Bird repelling involves physical and chemical means to deter birds, preventing them from damaging labor and causing economic losses. For example, birds are repelled near converter stations to prevent flocks of birds from roaming around capacitor towers in AC filter fields, causing equipment to trip and shut down. Existing bird repelling methods involve playing loud audio in a fixed area to scare the birds and drive them away. However, this method has a significant impact on the environment and is not very targeted, resulting in poor repelling effectiveness.

[0003] Therefore, the bird driving method in the prior art has a low pertinence for driving away different types of bird flocks and a poor driving effect. Summary of the Invention

[0004] This application solves the technical problem that the bird repelling methods in the prior art have low specificity for repelling different types of bird flocks and poor repelling effect by providing a method and system for repelling birds based on directional strong sound technology.

[0005] The present application provides a method for repelling birds based on directional strong sound technology, the method comprising: obtaining basic regional information of a target area; obtaining regional bird situation record data of the target area; deploying bird situation detection equipment and ultrasonic bird repelling equipment in the target area based on the basic regional information and the regional bird situation record data, obtaining a bird situation detection submodule and a directional strong sound bird repelling submodule; performing bird situation detection on the target area according to the bird situation detection submodule to obtain regional bird situation detection data; performing bird repelling decision analysis based on the regional bird situation detection data to obtain a regional bird repelling decision; sending the regional bird repelling decision to the directional strong sound bird repelling submodule, and the directional strong sound bird repelling submodule performing directionally bird repelling on the target area according to the regional bird repelling decision.

[0006] The present application also provides a system for repelling birds based on directional strong sound technology, the system comprising: an information acquisition module for obtaining basic regional information of a target area; a recorded data acquisition module for obtaining regional bird situation recorded data of the target area; an equipment deployment module for deploying bird situation detection equipment and ultrasonic bird repelling equipment in the target area based on the regional basic information and the regional bird situation recorded data, and obtaining a bird situation detection submodule and a directional strong sound bird repelling submodule; a detection data acquisition module for performing bird situation detection on the target area according to the bird situation detection submodule, and obtaining regional bird situation detection data; a decision acquisition module for performing bird repelling decision analysis based on the regional bird situation detection data, and obtaining a regional bird repelling decision; a bird repelling module for sending the regional bird repelling decision to the directional strong sound bird repelling submodule, and the directional strong sound bird repelling submodule performs directionally bird repelling on the target area according to the regional bird repelling decision.

[0007] The present application also provides an electronic device, comprising:

[0008] a memory for storing executable instructions;

[0009] The processor is used to implement the bird-repelling method based on directional strong sound technology provided by the present application when executing the executable instructions stored in the memory.

[0010] The present application provides a computer-readable storage medium storing a computer program. When the program is executed by a processor, the method for repelling birds based on directional strong sound technology provided by the present application is implemented.

[0011] The method and system for bird repelling based on directional strong sound technology proposed in this application obtain regional bird information of the target area and regional bird information record data of the target area. Based on the regional basic information and regional bird information record data, bird detection equipment and ultrasonic bird repelling equipment are deployed in the target area to obtain a bird detection submodule and a directional strong sound bird repelling submodule. Bird detection is performed on the target area according to the bird detection submodule to obtain regional bird detection data. Bird repelling decision analysis is performed based on the regional bird detection data to obtain a regional bird repelling decision. The regional bird repelling decision is sent to the directional strong sound bird repelling submodule, which then performs directional bird repelling on the target area according to the regional bird repelling decision. This achieves directional bird repelling based on the bird information in the target area and automatic adaptation of the bird repelling decision parameters based on the bird information, further improving the bird repelling effect. This solves the technical problem that the bird repelling methods in the prior art are less targeted and have poor repelling effects for different types of bird flocks.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following briefly introduces the drawings of the embodiments of the present disclosure. Obviously, the drawings described below only relate to some embodiments of the present disclosure, and are not intended to limit the present disclosure.

[0014] Figure 1 A schematic diagram of a process for repelling birds based on directional sound technology provided in an embodiment of the present application;

[0015] Figure 2 A schematic diagram of a process for obtaining regional bird-repelling decision-making using a method for bird-repelling based on directional strong sound technology provided in an embodiment of the present application;

[0016] Figure 3 A schematic diagram of a process for obtaining bird information in multiple sub-areas using a method for bird repelling based on directional strong sound technology provided in an embodiment of the present application;

[0017] Figure 4 A schematic diagram of the structure of a system for a method of repelling birds based on directional strong sound technology provided in an embodiment of the present application;

[0018] Figure 5 A schematic structural diagram of the electronic equipment of the system for the bird repelling method based on directional strong sound technology provided by an embodiment of the present invention.

[0019] Explanation of the reference numerals: information acquisition module 11 , recorded data acquisition module 12 , equipment deployment module 13 , detection data acquisition module 14 , decision acquisition module 15 , bird-repelling module 16 , processor 31 , memory 32 , input device 33 , output device 34 . DETAILED DESCRIPTION

[0020] Example 1

[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting this application. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to “some embodiments”, which describes a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0023] In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged with a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application.

[0025] Although this application makes various references to certain modules in the systems according to embodiments of the application, any number of different modules may be used and run on the user terminal and / or server, the modules are illustrative only, and different aspects of the systems and methods may use different modules.

[0026] Flowcharts are used throughout this application to illustrate the operations performed by the systems of the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in exact order. Instead, the various steps may be processed in reverse order or simultaneously, as needed. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0027] like Figure 1 As shown, the embodiment of the present application provides a method for repelling birds based on directional strong sound technology, the method comprising:

[0028] Obtaining basic regional information of the target area;

[0029] Obtaining regional bird scene record data of the target area;

[0030] Based on the basic information of the area and the bird situation record data of the area, bird situation detection equipment and ultrasonic bird repellent equipment are deployed in the target area to obtain a bird situation detection submodule and a directional strong sound bird repellent submodule;

[0031] Obtain basic regional information for the target area, where the basic regional information for the target area includes: specific location information, area information, equipment distribution information, etc. Subsequently, obtain regional bird information for the target area, i.e., obtain data on the species, number, occurrence area, and distribution location of birds in the area based on the basic regional information for the target area. Furthermore, deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the basic regional information and the regional bird information data. The bird detection equipment uses a multispectral detection device for bird intrusion detection. Multispectral is a three-light video recognition device. An ultrasonic bird repellent is then used for directional bird repellent strikes, thereby obtaining a bird detection submodule and a directional high-intensity sound bird repellent submodule.

[0032] The method provided in the embodiment of the present application also includes:

[0033] Based on big data, obtain a record database of bird-repellent related equipment deployment;

[0034] Based on the knowledge graph, and according to the bird-repellent related equipment layout record library, a bird-repellent related equipment layout graph is constructed;

[0035] Based on the bird-repellent related equipment layout map, a bird-repellent related equipment layout decision is made according to the regional basic information and the regional bird situation record data to obtain a regional bird-repellent related equipment layout plan;

[0036] Deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the regional bird repellent-related equipment deployment plan, and obtain deployed bird detection equipment and deployed ultrasonic bird repellent equipment;

[0037] According to the deployed bird detection equipment, the bird detection submodule is obtained;

[0038] According to the deployed ultrasonic bird-repelling equipment, the directional strong sound bird-repelling submodule is obtained, and the directional strong sound bird-repelling submodule is communicatively connected with the bird detection submodule.

[0039] Based on big data, a bird-repellent device deployment record library is obtained, wherein the bird-repellent device deployment record library records bird activity data in different areas and the corresponding bird-repellent device deployment data. Based on a knowledge graph, a knowledge graph is constructed based on the data in the bird-repellent device deployment record library. Each area corresponds to a knowledge graph, and each knowledge graph contains specific equipment deployment record data, such as the deployment location and deployment plan of bird activity detection equipment and ultrasonic bird-repellent equipment, to construct a bird-repellent device deployment map. Based on the bird-repellent device deployment map, bird-repellent device deployment decisions are made based on the basic information of the area and the bird activity record data of the area, and a regional bird-repellent device deployment plan is obtained. Furthermore, based on the regional bird-repellent device deployment plan, bird activity detection equipment and ultrasonic bird-repellent equipment are deployed in the target area, obtaining the deployed bird activity detection equipment and the deployed ultrasonic bird-repellent equipment. The bird activity detection equipment is used to obtain the specific location of the bird flock. The bird detection submodule is obtained based on the deployed bird detection equipment. The directional strong sound bird repellent submodule is obtained based on the deployed ultrasonic bird repellent equipment, and the directional strong sound bird repellent submodule is communicatively connected with the bird detection submodule.

[0040] Performing bird detection on the target area according to the bird detection submodule to obtain regional bird detection data;

[0041] Performing bird-repelling decision analysis based on the regional bird detection data to obtain a regional bird-repelling decision;

[0042] The regional bird-repelling decision is sent to the directional strong sound bird-repelling submodule, and the directional strong sound bird-repelling submodule performs directional bird-repelling on the target area according to the regional bird-repelling decision.

[0043] According to the bird detection submodule, the target area is detected for bird activity to obtain regional bird detection data. Based on the regional bird detection data, a bird repelling decision analysis is performed to obtain a regional bird repelling decision, wherein the regional bird repelling decision is used to control the directional strong sound bird repelling submodule to perform directional bird repelling operation, wherein the directional strong sound bird repelling submodule stores a variety of non-repetitive bird repelling audios, and the bird repelling audios can be updated in real time, thereby achieving the purpose of repelling different birds according to the bird repelling decision. Finally, the regional bird repelling decision is sent to the directional strong sound bird repelling submodule, and the directional strong sound bird repelling submodule performs directional bird repelling on the target area according to the regional bird repelling decision. This achieves directional bird repelling based on the bird activity in the target area, realizes automatic adaptation of the bird repelling decision parameters based on the bird activity, and further improves the bird repelling effect.

[0044] like Figure 2 As shown, the method provided in the embodiment of the present application also includes:

[0045] Performing data integration based on the bird detection data in the region to obtain bird conditions in multiple sub-regions;

[0046] Randomly numbering the plurality of sub-regions based on the bird observations to obtain the bird observations of the first sub-region, the bird observations of the second sub-region, and so on, the bird observations of the Kth sub-region, where K is equal to the total number of the bird observations of the plurality of sub-regions;

[0047] A bird-repelling decision analysis is performed on the bird situation in the first sub-area, the bird situation in the second sub-area, ... the bird situation in the K-th sub-area respectively to generate the regional bird-repelling decision.

[0048] Specifically, data integration is performed based on the regional bird detection data to obtain the areas where bird flocks are detected and the corresponding bird flock categories, thereby obtaining bird information for multiple sub-regions. The sub-region bird information is randomly numbered to obtain bird information for the first sub-region, the second sub-region, and so on, where K is the total number of bird information for the multiple sub-regions. Finally, a bird repellent decision analysis is performed on the bird information for the first sub-region, the second sub-region, and so on, to generate a regional bird repellent decision.

[0049] like Figure 3 As shown, the method provided in the embodiment of the present application also includes:

[0050] Perform feature recognition based on the regional bird detection data to obtain bird location regional features and bird species features;

[0051] Classifying the regional bird detection data based on the regional characteristics of the bird location to obtain a plurality of sub-region bird detection data;

[0052] The bird situation detection data of the multiple sub-regions are clustered based on the bird situation type characteristics to obtain the bird situation of the multiple sub-regions.

[0053] Based on the regional bird detection data, feature recognition is performed to obtain bird location regional features and bird species features. Furthermore, the regional bird detection data is classified based on the bird location regional features to obtain multiple sub-region bird detection data. Specifically, regional classification is performed based on the bird detection data to obtain multiple sub-regions where bird sightings occur. Based on the bird species features, the multiple sub-region bird detection data are clustered. Specifically, the multiple sub-region bird detection data are clustered based on the obtained multiple sub-region bird detection data to obtain specific bird species features for the multiple sub-regions, thereby obtaining the bird sightings for the multiple sub-regions.

[0054] The method provided in the embodiment of the present application also includes:

[0055] Obtain a database of bird repellent decision records;

[0056] Training a bird-repelling decision submodule according to the bird-repelling decision record library;

[0057] The bird situation in the first sub-region is input into the bird-repelling decision submodule to obtain a first sub-region bird-repelling decision, and the first sub-region bird-repelling decision is added to the regional bird-repelling decision.

[0058] A bird-repellent decision record library is obtained, wherein the bird-repellent decision record library records specific bird-repellent decision plans based on the characteristics of different bird species in different areas, wherein the bird-repellent decision plan includes the specific category of bird-repellent audio, the specific playback device, and the playback parameters. Subsequently, a bird-repellent decision submodule is trained based on the bird-repellent decision record library. When training the bird-repellent decision submodule, the data recorded in the bird-repellent decision record library is used as training data to perform supervised training on the neural network model until the bird-repellent decision plan output by the model meets the preset accuracy rate, and the model training is completed to obtain the bird-repellent decision submodule. Finally, the bird situation of the first sub-area is input into the bird-repellent decision submodule to obtain the first sub-area bird-repellent decision, and the first sub-area bird-repellent decision is added to the regional bird-repellent decision.

[0059] The method provided in the embodiment of the present application also includes:

[0060] Performing bird-repelling result monitoring on the target area according to the bird detection submodule to obtain bird-repelling result monitoring data;

[0061] Performing a bird-repellent effectiveness evaluation based on the bird-repellent monitoring data to obtain a decision-making bird-repellent effectiveness coefficient;

[0062] Determining whether the decision-making bird-repelling effectiveness coefficient meets a preset bird-repelling effectiveness constraint;

[0063] If the decided bird-repelling efficiency coefficient does not satisfy the preset bird-repelling efficiency constraint, a bird-repelling optimization instruction is obtained, and bird-repelling optimization is performed on the target area according to the bird-repelling optimization instruction.

[0064] The target area is monitored for bird repellent results according to the bird detection submodule, i.e., the bird data after the implementation of the bird repellent decision in the monitoring area is monitored to obtain bird repellent result monitoring data. Furthermore, a bird repellent effectiveness evaluation is performed based on the bird repellent result monitoring data. When performing the bird repellent effectiveness evaluation, the ratio of the number of bird species characteristics in the corresponding area obtained by the bird repellent result monitoring to the number of bird species characteristics obtained by the initial monitoring of each sub-area is used to obtain the decision-making bird repellent effectiveness coefficient. It is determined whether the decision-making bird repellent effectiveness coefficient meets the preset bird repellent effectiveness constraint, wherein the preset bird repellent effectiveness constraint is the minimum requirement for the minimum bird repellent effectiveness coefficient. When the preset bird repellent effectiveness constraint is met, i.e., the minimum requirement is greater than or equal to the preset bird repellent effectiveness constraint, the bird repellent effect is better. If the decision-making bird repellent effectiveness coefficient does not meet the preset bird repellent effectiveness constraint, a bird repellent optimization instruction is obtained, and the target area is optimized for bird repellent according to the bird repellent optimization instruction. The bird repellent optimization instruction is used to make a secondary bird repellent decision based on the re-monitored bird repellent result monitoring data, thereby obtaining an optimized bird repellent decision solution.

[0065] The technical solution provided by the embodiment of the present invention obtains regional bird situation record data of the target area by obtaining regional basic information of the target area. Based on the regional basic information and the regional bird situation record data, bird situation detection equipment and ultrasonic bird repellent equipment are deployed in the target area to obtain a bird situation detection submodule and a directional strong sound bird repellent submodule. Bird situation detection is performed on the target area according to the bird situation detection submodule to obtain regional bird situation detection data. Bird repellent decision analysis is performed based on the regional bird situation detection data to obtain a regional bird repellent decision. The regional bird repellent decision is sent to the directional strong sound bird repellent submodule, and the directional strong sound bird repellent submodule performs directional bird repellent on the target area according to the regional bird repellent decision. In this way, directional bird repellent based on the bird situation in the target area is achieved, and the bird repellent decision parameters based on the bird situation are automatically adapted, thereby further improving the bird repellent effect. The technical problem that the bird repellent method in the prior art has low pertinence for repelling different types of bird flocks and poor repellent effect is solved.

[0066] Example 2

[0067] Based on the same inventive concept as the method for driving away birds based on directional strong sound technology in the aforementioned embodiment, the present invention also provides a system for driving away birds based on directional strong sound technology. The system can be implemented in hardware and / or software and can generally be integrated into electronic devices to execute the method provided by any embodiment of the present invention. Figure 4 As shown, the system includes:

[0068] The information acquisition module 11 is used to obtain basic regional information of the target area;

[0069] Record data acquisition module 12, used to obtain regional bird situation record data of the target area;

[0070] An equipment deployment module 13 is configured to deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the basic regional information and the regional bird data, and obtain a bird detection submodule and a directional strong sound bird repellent submodule;

[0071] A detection data acquisition module 14 is configured to perform bird detection on the target area according to the bird detection submodule to obtain regional bird detection data;

[0072] A decision acquisition module 15 is configured to perform bird-repelling decision analysis based on the regional bird detection data to obtain a regional bird-repelling decision;

[0073] The bird-repelling module 16 is configured to send the regional bird-repelling decision to the directional strong sound bird-repelling submodule, and the directional strong sound bird-repelling submodule performs directional bird-repelling on the target area according to the regional bird-repelling decision.

[0074] Furthermore, the equipment deployment module 13 is also used to:

[0075] Based on big data, obtain a record database of bird-repellent related equipment deployment;

[0076] Based on the knowledge graph, and according to the bird-repellent related equipment layout record library, a bird-repellent related equipment layout graph is constructed;

[0077] Based on the bird-repellent related equipment layout map, a bird-repellent related equipment layout decision is made according to the regional basic information and the regional bird situation record data to obtain a regional bird-repellent related equipment layout plan;

[0078] Deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the regional bird repellent-related equipment deployment plan, and obtain deployed bird detection equipment and deployed ultrasonic bird repellent equipment;

[0079] According to the deployed bird detection equipment, the bird detection submodule is obtained;

[0080] According to the deployed ultrasonic bird-repelling equipment, the directional strong sound bird-repelling submodule is obtained, and the directional strong sound bird-repelling submodule is communicatively connected with the bird detection submodule.

[0081] Furthermore, the decision acquisition module 15 is further configured to:

[0082] Performing data integration based on the bird detection data in the region to obtain bird conditions in multiple sub-regions;

[0083] Randomly numbering the plurality of sub-regions based on the bird observations to obtain the bird observations of the first sub-region, the bird observations of the second sub-region, and so on, the bird observations of the Kth sub-region, where K is equal to the total number of the bird observations of the plurality of sub-regions;

[0084] A bird-repelling decision analysis is performed on the bird situation in the first sub-area, the bird situation in the second sub-area, ... the bird situation in the K-th sub-area respectively to generate the regional bird-repelling decision.

[0085] Furthermore, the decision acquisition module 15 is further configured to:

[0086] Perform feature recognition based on the regional bird detection data to obtain bird location regional features and bird species features;

[0087] Classifying the regional bird detection data based on the regional characteristics of the bird location to obtain a plurality of sub-region bird detection data;

[0088] The bird situation detection data of the multiple sub-regions are clustered based on the bird situation type characteristics to obtain the bird situation of the multiple sub-regions.

[0089] Furthermore, the decision acquisition module 15 is further configured to:

[0090] Obtain a database of bird repellent decision records;

[0091] Training a bird-repelling decision submodule according to the bird-repelling decision record library;

[0092] The bird situation in the first sub-region is input into the bird-repelling decision submodule to obtain a first sub-region bird-repelling decision, and the first sub-region bird-repelling decision is added to the regional bird-repelling decision.

[0093] Furthermore, the bird-repelling module 16 is also used for:

[0094] Performing bird-repelling result monitoring on the target area according to the bird detection submodule to obtain bird-repelling result monitoring data;

[0095] Performing a bird-repellent effectiveness evaluation based on the bird-repellent monitoring data to obtain a decision-making bird-repellent effectiveness coefficient;

[0096] Determining whether the decision-making bird-repelling effectiveness coefficient meets a preset bird-repelling effectiveness constraint;

[0097] If the decided bird-repelling efficiency coefficient does not satisfy the preset bird-repelling efficiency constraint, a bird-repelling optimization instruction is obtained, and bird-repelling optimization is performed on the target area according to the bird-repelling optimization instruction.

[0098] The various units and modules included are divided only according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other and are not used to limit the scope of protection of the present invention.

[0099] Example 3

[0100] Figure 5 This is a structural diagram of an electronic device provided in accordance with a third embodiment of the present invention, showing a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present invention. Figure 5 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 5 As shown, the electronic device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 5 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the electronic device can be connected through a bus or other means. Figure 5 The bus connection is taken as an example.

[0101] Memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the bird repelling method based on directional high-intensity sound technology in the embodiments of the present invention. Processor 31 executes the software programs, instructions, and modules stored in memory 32 to perform various computer functions and data processing, thereby implementing the aforementioned bird repelling method based on directional high-intensity sound technology.

[0102] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the concept of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for driving away birds based on directional strong sound technology, characterized in that: The method comprises: Obtaining basic regional information of the target area; Obtaining regional bird scene record data of the target area; Based on the basic information of the area and the bird situation record data of the area, bird situation detection equipment and ultrasonic bird repellent equipment are deployed in the target area to obtain a bird situation detection submodule and a directional strong sound bird repellent submodule; Performing bird detection on the target area according to the bird detection submodule to obtain regional bird detection data; Performing bird-repelling decision analysis based on the regional bird detection data to obtain a regional bird-repelling decision; The regional bird-repelling decision is sent to the directional strong sound bird-repelling submodule, and the directional strong sound bird-repelling submodule performs directional bird-repelling on the target area according to the regional bird-repelling decision; The process of deploying bird detection equipment and ultrasonic bird repellent equipment in the target area based on the basic regional information and the regional bird information record data includes: Based on big data, obtain a record database of bird-repellent related equipment deployment; Based on the knowledge graph, and according to the bird-repellent related equipment layout record library, a bird-repellent related equipment layout graph is constructed; Based on the bird-repellent related equipment layout map, a bird-repellent related equipment layout decision is made according to the regional basic information and the regional bird situation record data to obtain a regional bird-repellent related equipment layout plan; Deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the regional bird repellent-related equipment deployment plan, and obtain deployed bird detection equipment and deployed ultrasonic bird repellent equipment; According to the deployed bird detection equipment, the bird detection submodule is obtained; According to the deployed ultrasonic bird-repelling device, the directional strong sound bird-repelling submodule is obtained, and the directional strong sound bird-repelling submodule is communicatively connected with the bird detection submodule; The bird-repelling decision analysis is performed based on the regional bird detection data to obtain the regional bird-repelling decision, including: Performing data integration based on the bird detection data in the region to obtain bird conditions in multiple sub-regions; Randomly numbering the plurality of sub-regions based on the bird observations to obtain the bird observations of the first sub-region, the bird observations of the second sub-region, and so on, the bird observations of the Kth sub-region, where K is equal to the total number of the bird observations of the plurality of sub-regions; performing bird repelling decision analysis on the bird situation in the first sub-area, the bird situation in the second sub-area, ..., the bird situation in the K-th sub-area, respectively, to generate the regional bird repelling decision; After the targeted bird-repelling operation is performed in accordance with the regional bird-repelling decision, the method includes: Performing bird-repelling result monitoring on the target area according to the bird detection submodule to obtain bird-repelling result monitoring data; Performing a bird-repellent effectiveness evaluation based on the bird-repellent monitoring data to obtain a decision-making bird-repellent effectiveness coefficient; Determining whether the decision-making bird-repelling effectiveness coefficient meets a preset bird-repelling effectiveness constraint; If the decided bird-repelling efficiency coefficient does not satisfy the preset bird-repelling efficiency constraint, a bird-repelling optimization instruction is obtained, and bird-repelling optimization is performed on the target area according to the bird-repelling optimization instruction.

2. The method according to claim 1, wherein Based on the bird detection data of the area, data integration is performed to obtain bird information of multiple sub-areas, including: Perform feature recognition based on the regional bird detection data to obtain bird location regional features and bird species features; Classifying the regional bird detection data based on the regional characteristics of the bird location to obtain a plurality of sub-region bird detection data; The bird situation detection data of the multiple sub-regions are clustered based on the bird situation type characteristics to obtain the bird situation of the multiple sub-regions.

3. The method according to claim 1, wherein Generating a bird-repelling decision for the area, including: Obtain a database of bird repellent decision records; Training a bird-repelling decision submodule according to the bird-repelling decision record library; The bird situation in the first sub-region is input into the bird-repelling decision submodule to obtain a first sub-region bird-repelling decision, and the first sub-region bird-repelling decision is added to the regional bird-repelling decision.

4. The bird repellent system based on directional sound technology is characterized by: The system is used to implement the bird repelling method based on directional strong sound technology according to any one of claims 1 to 3, and the system includes: An information acquisition module is used to obtain basic regional information of the target area; A record data acquisition module is used to obtain regional bird situation record data of the target area; An equipment deployment module is used to deploy bird detection equipment and ultrasonic bird repellent equipment in the target area based on the basic information of the area and the bird record data of the area, and obtain a bird detection submodule and a directional strong sound bird repellent submodule; A detection data acquisition module is used to perform bird detection on the target area according to the bird detection submodule to obtain regional bird detection data; A decision acquisition module, configured to perform bird-repelling decision analysis based on the regional bird detection data to obtain a regional bird-repelling decision; The bird-repelling module is configured to send the regional bird-repelling decision to the directional strong sound bird-repelling submodule, and the directional strong sound bird-repelling submodule performs directional bird-repelling on the target area according to the regional bird-repelling decision.

5. An electronic device, characterized in that: The electronic device comprises: a memory for storing executable instructions; The processor is configured to implement the bird-repelling method based on directional strong sound technology as described in any one of claims 1 to 3 when executing the executable instructions stored in the memory.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for driving away birds based on directional strong sound technology as described in any one of claims 1 to 3 is implemented.

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