Power grid bird damage early warning method and system, storage medium and electronic equipment

Abstract

The invention provides a power grid bird damage early warning method and system, a storage medium and electronic equipment, and relates to the technical field of power grid protection, and the method comprises the steps: determining a first bird damage distribution diagram according to historical bird damage information and preset bird repelling device information, and determining a first unmanned aerial vehicle inspection path according to the first bird damage distribution diagram and unmanned aerial vehicle nest information; determining difference information according to the first inspection information, the historical bird damage information and the first bird damage distribution map, and determining a real-time bird damage condition of each area on the first unmanned aerial vehicle inspection path according to the difference information; determining a second unmanned aerial vehicle inspection path according to the real-time bird damage condition and the unmanned aerial vehicle nest information, and determining comprehensive bird damage information according to the second inspection information; and determining bird damage assessment information according to the comprehensive bird damage information and the historical bird damage information, and generating a corresponding early warning report according to the bird damage assessment information. The problem that in the prior art, the power grid bird damage problem cannot be effectively solved in time, and consequently the overall bird damage failure rate of a power transmission line is high is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid protection, and in particular to a power grid bird damage early warning method, system, storage medium and electronic equipment. Background Art

[0002] In recent years, with the increasing number of bird species, their ranges have continued to expand, posing a direct threat to the safe operation of power transmission lines. Bird-induced failures include insulator contamination and corrosion caused by bird droppings, short circuits caused by birds in flight touching conductors, accelerated aging of composite insulator sheaths caused by pecking, and the possibility of wire, sticks, and other materials falling from towers when birds nest. Large birds of prey can even cause conductor breakage or insulator contamination, making bird damage a leading cause of transmission line tripping.

[0003] Currently, bird damage prevention and maintenance for power transmission lines typically involves installing bird repellent devices in areas with severe bird infestation. Operations and maintenance personnel, along with drones, conduct inspections along the transmission lines. When birds or nests are discovered, these targets are individually addressed. However, traditional bird damage prevention and maintenance methods lack real-time and targeted effectiveness. Furthermore, due to the uncontrollable nature of bird activity, pre-set repellent devices and specific inspection routes cannot guarantee overall transmission line safety. Summary of the Invention

[0004] Based on this, the purpose of the present invention is to provide a power grid bird damage early warning method, which aims to solve the problem that the existing technology cannot promptly and effectively solve the power grid bird damage problem, resulting in a high bird damage failure rate of the entire transmission line.

[0005] According to an embodiment of the present invention, a method for early warning of bird damage to a power grid includes: Determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information; Obtaining first inspection information collected by a drone on a first drone inspection path, determining difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determining a real-time bird damage status of each area on the first drone inspection path based on the difference information; Determine a second drone inspection path based on the real-time bird damage situation and the drone nest information, and obtain second inspection information collected by drones on the second drone inspection path within a preset time period, so as to determine comprehensive bird damage information based on the second inspection information; Bird damage assessment information is determined according to the comprehensive bird damage information and the historical bird damage information, so as to generate a corresponding early warning report according to the bird damage assessment information.

[0006] In addition, the power grid bird damage early warning method according to the above embodiment of the present invention may also have the following additional technical features: Furthermore, the step of determining a first bird damage distribution map based on historical bird damage information and preset bird repellent device location information includes: determining first bird damage data based on historical bird activity data of a first area and historical line fault data of the first area, wherein the first area is an area on a transmission line where no bird repellent device is installed; determining second bird damage data based on second-area historical bird activity data, second-area historical line fault data, and regional bird repellent device data for a second area, wherein the second area is an area on a transmission line where a bird repellent device is installed; The preset model is trained according to the first bird damage data, the second bird damage data and the regional bird repellent device data, so that the preset model determines the first bird damage distribution map according to the historical bird damage information and the preset bird repellent device information of the current area.

[0007] Furthermore, the step of determining a first drone inspection path according to the first bird damage distribution map and drone nest information includes: Determine the first drone inspection efficiency of each drone nest based on the drone nest information; determining the second drone inspection efficiency required for each area of ​​the transmission line based on the first bird damage distribution map; The first bird damage distribution map is divided into units according to the location information of each drone nest, the first drone inspection efficiency, and the second drone inspection efficiency to determine a plurality of inspection units, so that the first drone inspection efficiency in each inspection unit is not less than the second drone inspection efficiency; The first drone inspection path is determined according to the inspection unit and the drone nest information in the inspection unit.

[0008] Furthermore, the steps of determining difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determining the real-time bird damage status of each area on the first UAV inspection path based on the difference information include: Analyzing the first inspection information to determine bird activity information, and determining preliminary real-time bird damage information based on the bird activity information and the historical bird damage information; Determining theoretical bird damage information based on the historical bird damage information and the first bird damage distribution map, and determining the difference information based on the theoretical bird damage information and the preliminary real-time bird damage information, wherein both the preliminary real-time bird damage information and the theoretical bird damage information include at least bird species quantity information, bird activity frequency information, bird nest quantity information, and bird droppings distribution frequency information, and the difference information is the ratio of the same dimension information in the preliminary real-time bird damage information and the theoretical bird damage information; The real-time bird damage status of each area on the inspection path of the first UAV is determined based on the difference information.

[0009] Furthermore, the step of determining the real-time bird damage status of each area on the inspection path of the first drone based on the difference information includes: Performing a weighted sum operation on each ratio data in the difference information using a preset weighting algorithm to determine a difference value, and determining whether the difference value is greater than a preset value; If yes, determining the real-time bird damage situation according to the preliminary real-time bird damage information and the first bird damage distribution map; If not, the real-time bird damage status is determined according to the theoretical bird damage information and the first bird damage distribution map.

[0010] Furthermore, the step of determining a second drone inspection path according to the real-time bird damage situation and the drone nest information includes: determining a bird damage stage according to the real-time bird damage status, and determining a bird damage type according to the bird damage stage, the preliminary real-time bird damage information, and the historical bird damage information; Determine an inspection target based on the bird damage type, and determine an area to be inspected based on environmental information of the area corresponding to the real-time bird damage situation and the inspection target; The second drone inspection path is determined according to the drone nest information and the area to be inspected.

[0011] Furthermore, after the step of determining the bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information, the following steps are included: Adjusting the first bird damage distribution map according to the bird damage assessment information to determine a second bird damage distribution map; adjusting the number and distribution of the preset bird-repelling devices according to the second bird damage distribution map to determine adjusted preset bird-repelling device information; Determine a third bird damage distribution map using the preset model according to the comprehensive bird damage information and the adjusted preset bird repellent device information; The first drone inspection path is adjusted according to the third bird damage distribution map and the drone nest information.

[0012] Another object of an embodiment of the present invention is to provide a power grid bird damage early warning system, the system comprising: a first inspection determination module, configured to determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information; a real-time bird damage determination module, configured to obtain first inspection information collected by a drone on a first drone inspection path, determine difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determine the real-time bird damage status of each area on the first drone inspection path based on the difference information; a second inspection determination module, configured to determine a second drone inspection path based on the real-time bird damage situation and the drone nest information, and obtain second inspection information collected by drones on the second drone inspection path within a preset time period, so as to determine comprehensive bird damage information based on the second inspection information; An early warning module is used to determine bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information, so as to generate a corresponding early warning report based on the bird damage assessment information.

[0013] Another object of an embodiment of the present invention is to provide a storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the above-mentioned power grid bird damage early warning method.

[0014] Another object of an embodiment of the present invention is to provide an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the above-mentioned power grid bird damage warning method are implemented.

[0015] The present invention determines a first bird damage distribution map of the current area by combining historical data and existing status data for prediction, and then plans a first drone inspection path in the current area based on the existing drone nest information and the first bird damage distribution map, so as to carry out targeted inspections according to the predicted bird damage conditions in different areas, thereby improving the pertinence and efficiency of bird damage warnings, and then judges the current bird damage conditions at various locations in the current area based on the real-time inspection information of the preliminary targeted inspection, and then determines the second inspection path and planning at different locations based on the real-time bird damage conditions, so as to avoid the impact of the uncertainty of bird activities on the bird damage warning, thereby ensuring the real-time nature of the bird damage warning, and then determines the comprehensive bird damage information of the abnormal location after a comprehensive inspection of the abnormal location, and then generates a third bird damage distribution map based on the comprehensive bird damage information and adjusts the first drone inspection path, thereby realizing dynamic and targeted adjustment of the bird damage warning method, so as to ensure the accuracy and real-time nature of the bird damage warning, and adjusts the position and number of the preset bird repellent devices based on the comprehensive bird damage information, so that bird damage can be eliminated before it occurs. Therefore, the present invention solves the problem in the prior art that the bird damage problem in the power grid cannot be solved in a timely and effective manner, resulting in a high bird damage failure rate of the entire transmission line. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Flowchart of the bird damage warning method for power grid in the first embodiment of the present invention; Figure 2 2 is a structural block diagram of a power grid bird damage warning system according to a second embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device in an embodiment of the present invention; The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0017] To facilitate understanding of the present invention, the present invention will be described more fully below with reference to the accompanying drawings. The drawings illustrate several embodiments of the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present invention.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0019] Example 1 See also Figure 1, which shows a bird damage warning method for a power grid in a first embodiment of the present invention. The method specifically includes steps S01 to S04.

[0020] S01: Determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information.

[0021] Specifically, the first bird pest data is determined based on the first area historical bird activity data and the first area historical line fault data of the first area, and the first area is an area on the transmission line where a bird repellent device is not installed; the second bird pest data is determined based on the second area historical bird activity data, the second area historical line fault data and the regional bird repellent device data of the second area, and the second area is an area on the transmission line equipped with a bird repellent device; the preset model is trained based on the first bird pest data, the second bird pest data and the regional bird repellent device data, so that the preset model determines the first bird pest distribution map based on the historical bird pest information and the preset bird repellent device information of the current area. In specific implementation, the system first determines the historical bird activity data and corresponding historical line fault data in the transmission line area when no bird repellent devices were installed based on a large amount of historical data to determine the correlation between the two. Then, based on the historical bird activity data and historical line fault data in the area where the bird repellent devices were installed, the system determines the impact of the bird repellent devices on line faults, that is, the impact of the bird repellent devices on bird damage. Through large-scale data training iterations, the system can predict and judge the bird damage situation in the target area based on the historical bird activity data status of the target area and the installation distribution status of existing bird repellent devices, thereby determining the first bird damage distribution map of the target area. This allows the drone's inspection route to be adjusted in a targeted manner to provide timely warnings of bird damage.

[0022] More specifically, the step of determining a first drone inspection path based on the first bird damage distribution map and drone nest information includes: determining a first drone inspection efficiency for each drone nest based on the drone nest information; determining a second drone inspection efficiency required for each area of ​​the transmission line based on the first bird damage distribution map; dividing the first bird damage distribution map into units based on the location information of each drone nest, the first drone inspection efficiency, and the second drone inspection efficiency to determine a plurality of inspection units, such that the first drone inspection efficiency within each inspection unit is not less than the second drone inspection efficiency; and determining the first drone inspection path based on the inspection unit and the drone nest information within the inspection unit. In a specific implementation, the first bird damage distribution map is used to determine the inspection efficiency required for areas with different bird damage levels, that is, the drone inspection time. Due to different bird damage levels, the time required for drone preliminary inspections in areas of the same area is not completely consistent. The inspection efficiency of the drone nest is then determined based on the location information of each drone nest, the model and number of drones within the nest, thereby accurately dividing the area into units based on the same judgment dimension, so that each unit can complete the inspection target, thereby ensuring the effectiveness of bird damage inspection warning. In addition, during the specific implementation, the divided units can also be adjusted according to the inspection tasks of each drone nest itself. For example, the current drone nest has other inspection tasks, or each drone nest needs to retain a certain number of standby drones for emergency use.

[0023] S02, obtaining the first inspection information collected by the drone on the first drone inspection path, determining the difference information based on the first inspection information, the historical bird damage information and the first bird damage distribution map, and determining the real-time bird damage status of each area on the first drone inspection path based on the difference information.

[0024] Specifically, the first inspection information is analyzed to determine bird activity information, and preliminary real-time bird damage information is determined based on the bird activity information and the historical bird damage information; theoretical bird damage information is determined based on the historical bird damage information and the first bird damage distribution map, and the difference information is determined based on the theoretical bird damage information and the preliminary real-time bird damage information. The preliminary real-time bird damage information and the theoretical bird damage information both include at least bird species quantity information, bird activity frequency information, bird nest quantity information, and bird droppings distribution frequency information. The difference information is the ratio of the same dimensional information in the preliminary real-time bird damage information and the theoretical bird damage information; the real-time bird damage status of each area on the inspection path of the first unmanned aerial vehicle is determined based on the difference information. In a specific implementation, the real-time bird damage information of the inspection area, that is, the real-time bird activity status, can be obtained based on the images and audio recorded during the inspection. Then, based on the first bird damage distribution map and the historical bird damage information, the theoretical bird damage information of the inspection area at this time can be inferred to judge the current bird damage information, thereby determining whether the current bird damage status is within the predicted status. If so, it means that the current bird damage situation is still under control and there is no uncertainty in bird activities. Therefore, by adopting the preset response methods or devices, bird damage failures can be avoided. If not, it means that the real-time bird damage situation may exceed the predicted range, and more comprehensive data is needed for judgment.

[0025] More specifically, the step of determining the real-time bird damage status of each area on the inspection path of the first drone based on the difference information includes: performing a weighted summation operation on each ratio data in the difference information using a preset weighting algorithm to determine a difference value, and determining whether the difference value is greater than a preset value; if so, determining the real-time bird damage status based on the preliminary real-time bird damage information and the first bird damage distribution map; if not, determining the real-time bird damage status based on the theoretical bird damage information and the first bird damage distribution map. In specific implementation, preliminary inspections are used to determine possible abnormal conditions, and then targeted comprehensive inspections are carried out based on the abnormal conditions, thereby achieving real-time and targeted bird damage warnings. The abnormal conditions are then accurately and comprehensively judged based on the information from the comprehensive inspections, and the bird damage status is predicted and warned based on the judgment results.

[0026] S03, determining a second drone inspection path according to the real-time bird damage situation and the drone nest information, and obtaining second inspection information collected by the drone on the second drone inspection path within a preset time period to determine comprehensive bird damage information based on the second inspection information.

[0027] Specifically, the bird damage stage is determined based on the real-time bird damage situation, and the bird damage type is determined based on the bird damage stage, the preliminary real-time bird damage information, and the historical bird damage information. The inspection target is determined based on the bird damage type, and the area to be inspected is determined based on the environmental information of the area corresponding to the real-time bird damage situation and the inspection target. The second drone inspection path is determined based on the drone nest information and the area to be inspected. In specific implementation, by targeting different bird damage stages and bird damage types, the inspection targets that require subsequent targeted inspection and detection are determined. The areas that require inspection are then determined based on the environmental information of the abnormal conditions. Path design is then performed based on the inspection areas and inspection targets to ensure the pertinence and accuracy of comprehensive inspections, and to avoid excessive and frequent inspections in unnecessary areas, which would reduce inspection efficiency.

[0028] S04: Determine bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information, and generate a corresponding early warning report based on the bird damage assessment information.

[0029] Specifically, the corresponding early warning report is determined through real-time bird damage assessment information, so that the staff can obtain real-time bird damage status information, and then make targeted adjustments to bird damage protection measures to reduce the probability of bird damage failures, or even avoid bird damage failures.

[0030] Specifically, after step S04, the method further includes: adjusting the first bird damage distribution map based on the bird damage assessment information to determine a second bird damage distribution map; adjusting the number and distribution of the preset bird repellent devices based on the second bird damage distribution map to determine the adjusted preset bird repellent device information; determining a third bird damage distribution map using the preset model based on the comprehensive bird damage information and the adjusted preset bird repellent device information; and adjusting the first drone inspection path based on the third bird damage distribution map and the drone nest information. The first bird damage distribution map is adjusted based on the bird damage assessment information to obtain a second bird damage distribution map when no intervention is applied under the current conditions. The second bird damage distribution map can then be used to predict subsequent bird damage failure conditions. The location and number of the preset bird repellent devices are then adjusted based on the second bird damage distribution map, thereby preventing bird damage failures in advance or even avoiding them through the use of bird repellent devices. Furthermore, the second bird damage distribution map is adjusted according to the status after the preset bird-repellent device is adjusted, so as to determine a third bird damage distribution map that matches the current real-time status. Therefore, the bird damage early warning method of this scheme can be executed according to the third bird damage distribution map to ensure the real-time and pertinence of this method, and to ensure both the accuracy and efficiency of this method.

[0031] In summary, the power grid bird damage warning method in the above embodiment of the present invention combines historical data and existing status data for prediction to determine a first bird damage distribution map of the current area, and then plans the first drone inspection path in the current area based on the existing drone nest information and the first bird damage distribution map, so as to perform targeted inspections according to the predicted bird damage conditions in different areas, thereby improving the pertinence and efficiency of the bird damage warning. The current bird damage conditions at various locations in the current area are judged by the real-time inspection information of the preliminary targeted inspection, and then the second inspection path and planning at different locations are determined based on the real-time bird damage conditions to avoid the impact of the uncertainty of bird activities on the bird damage warning, thereby ensuring the real-time nature of the bird damage warning. After a comprehensive inspection of the abnormal location, comprehensive bird damage information of the abnormal location is determined, and then a third bird damage distribution map is generated based on the comprehensive bird damage information and the first drone inspection path is adjusted, thereby achieving dynamic and targeted adjustment of the bird damage warning method to ensure the accuracy and real-time nature of the bird damage warning, and adjusting the position and number of the preset bird repellent devices based on the comprehensive bird damage information so that bird damage can be eliminated before it occurs. Therefore, the present invention solves the problem in the prior art that the bird damage problem in the power grid cannot be solved in a timely and effective manner, resulting in a high bird damage failure rate of the entire transmission line.

[0032] Example 2 See also Figure 2 , which is a structural block diagram of a power grid bird damage warning system proposed in a second embodiment of the present invention, the power grid bird damage warning system 200 includes: a first inspection and determination module 21, a real-time bird damage determination module 22, a second inspection and determination module 23, and an early warning module 24, wherein: A first inspection determination module 21 is configured to determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information; a real-time bird damage determination module 22 configured to obtain first inspection information collected by a drone along a first drone inspection path, determine difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determine the real-time bird damage status of each area along the first drone inspection path based on the difference information; a second inspection determination module 23, configured to determine a second drone inspection path based on the real-time bird damage status and the drone nest information, and obtain second inspection information collected by drones on the second drone inspection path within a preset time period, so as to determine comprehensive bird damage information based on the second inspection information; The early warning module 24 is configured to determine bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information, so as to generate a corresponding early warning report based on the bird damage assessment information.

[0033] The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments and will not be repeated here.

[0034] Example 3 Another aspect of the present invention provides an electronic device, see Figure 3 , shown is a schematic diagram of an electronic device in the current regional embodiment of the present invention, including a memory 20, a processor 10, and a computer program 30 stored in the memory and executable on the processor. When the processor 10 executes the computer program 30, the above-mentioned power grid bird damage early warning method is implemented.

[0035] In some embodiments, the processor 10 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, used to run program codes or process data stored in the memory 20, such as executing access restriction programs.

[0036] The memory 20 includes at least one type of readable storage medium, including flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 20 may be an internal storage unit of the electronic device, such as the hard disk of the electronic device. In other embodiments, the memory 20 may also be an external storage device of the electronic device, such as a plug-in hard disk equipped on the electronic device, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Furthermore, the memory 20 may include both an internal storage unit of the electronic device and an external storage device. The memory 20 can be used not only to store application software and various types of data of the electronic device, but also to temporarily store data that has been output or is about to be output.

[0037] It should be pointed out that Figure 3 The structure shown does not constitute a limitation to the electronic device. In other embodiments, the electronic device may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0038] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the above-mentioned power grid bird damage early warning method is implemented.

[0039] Those skilled in the art will appreciate that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device), or in conjunction with such instruction execution system, apparatus, or device. For purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by an instruction execution system, apparatus, or device, or in conjunction with such instruction execution system, apparatus, or device.

[0040] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting, or processing it in another suitable manner as necessary, and then storing it in a computer memory.

[0041] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the aforementioned embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following technologies known in the art may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0042] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0043] The above embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A bird damage early warning method for a power grid, characterized in that: The method comprises: Determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information; Obtaining first inspection information collected by a drone on a first drone inspection path, determining difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determining a real-time bird damage status of each area on the first drone inspection path based on the difference information; Determine a second drone inspection path based on the real-time bird damage situation and the drone nest information, and obtain second inspection information collected by drones on the second drone inspection path within a preset time period, so as to determine comprehensive bird damage information based on the second inspection information; Bird damage assessment information is determined according to the comprehensive bird damage information and the historical bird damage information, so as to generate a corresponding early warning report according to the bird damage assessment information.

2. The power grid bird damage early warning method according to claim 1, characterized in that: The step of determining a first bird damage distribution map based on historical bird damage information and preset bird repellent device location information includes: determining first bird damage data based on historical bird activity data of a first area and historical line fault data of the first area, wherein the first area is an area on a transmission line where no bird repellent device is installed; determining second bird damage data based on second-area historical bird activity data, second-area historical line fault data, and regional bird repellent device data for a second area, wherein the second area is an area on a transmission line where a bird repellent device is installed; The preset model is trained according to the first bird damage data, the second bird damage data and the regional bird repellent device data, so that the preset model determines the first bird damage distribution map according to the historical bird damage information and the preset bird repellent device information of the current area.

3. The power grid bird damage early warning method according to claim 1, characterized in that: The step of determining a first drone inspection path according to the first bird damage distribution map and drone nest information includes: Determine the first drone inspection efficiency of each drone nest based on the drone nest information; determining the second drone inspection efficiency required for each area of ​​the transmission line based on the first bird damage distribution map; The first bird damage distribution map is divided into units according to the location information of each drone nest, the first drone inspection efficiency, and the second drone inspection efficiency to determine a plurality of inspection units, so that the first drone inspection efficiency in each inspection unit is not less than the second drone inspection efficiency; The first drone inspection path is determined according to the inspection unit and the drone nest information in the inspection unit.

4. The power grid bird damage early warning method according to claim 1, characterized in that: The steps of determining difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determining the real-time bird damage status of each area on the inspection path of the first UAV based on the difference information include: Analyzing the first inspection information to determine bird activity information, and determining preliminary real-time bird damage information based on the bird activity information and the historical bird damage information; Determining theoretical bird damage information based on the historical bird damage information and the first bird damage distribution map, and determining the difference information based on the theoretical bird damage information and the preliminary real-time bird damage information, wherein both the preliminary real-time bird damage information and the theoretical bird damage information include at least bird species quantity information, bird activity frequency information, bird nest quantity information, and bird droppings distribution frequency information, and the difference information is the ratio of the same dimension information in the preliminary real-time bird damage information and the theoretical bird damage information; The real-time bird damage status of each area on the inspection path of the first UAV is determined based on the difference information.

5. The power grid bird damage early warning method according to claim 4, characterized in that: The step of determining the real-time bird damage status of each area on the inspection path of the first UAV according to the difference information includes: Performing a weighted sum operation on each ratio data in the difference information using a preset weighting algorithm to determine a difference value, and determining whether the difference value is greater than a preset value; If yes, determining the real-time bird damage situation according to the preliminary real-time bird damage information and the first bird damage distribution map; If not, the real-time bird damage status is determined according to the theoretical bird damage information and the first bird damage distribution map.

6. The power grid bird damage early warning method according to claim 5, characterized in that: The step of determining a second drone inspection path according to the real-time bird damage situation and the drone nest information includes: determining a bird damage stage according to the real-time bird damage status, and determining a bird damage type according to the bird damage stage, the preliminary real-time bird damage information, and the historical bird damage information; Determine an inspection target based on the bird damage type, and determine an area to be inspected based on environmental information of the area corresponding to the real-time bird damage situation and the inspection target; The second drone inspection path is determined according to the drone nest information and the area to be inspected.

7. The power grid bird damage early warning method according to claim 2, characterized in that: The step of determining bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information includes: Adjusting the first bird damage distribution map according to the bird damage assessment information to determine a second bird damage distribution map; adjusting the number and distribution of the preset bird-repelling devices according to the second bird damage distribution map to determine adjusted preset bird-repelling device information; Determining a third bird damage distribution map using the preset model according to the comprehensive bird damage information and the adjusted preset bird repellent device information; The first drone inspection path is adjusted according to the third bird damage distribution map and the drone nest information.

8. A bird damage warning system for power grid, characterized in that: For implementing the power grid bird damage early warning method according to any one of claims 1 to 7, the system comprises: a first inspection determination module, configured to determine a first bird damage distribution map based on historical bird damage information and preset bird repellent device information, and determine a first drone inspection path based on the first bird damage distribution map and drone nest information; a real-time bird damage determination module, configured to obtain first inspection information collected by a drone on a first drone inspection path, determine difference information based on the first inspection information, the historical bird damage information, and the first bird damage distribution map, and determine the real-time bird damage status of each area on the first drone inspection path based on the difference information; a second inspection determination module, configured to determine a second drone inspection path based on the real-time bird damage situation and the drone nest information, and obtain second inspection information collected by drones on the second drone inspection path within a preset time period, so as to determine comprehensive bird damage information based on the second inspection information; An early warning module is used to determine bird damage assessment information based on the comprehensive bird damage information and the historical bird damage information, so as to generate a corresponding early warning report based on the bird damage assessment information.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the power grid bird damage early warning method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for early warning of bird damage to a power grid according to any one of claims 1 to 7 is implemented.

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