Optimal deployment method and system for bird repellent devices

Abstract

The method for optimizing the layout of bird-repellent devices includes: calling multiple groups of transmission line bird damage data corresponding to multiple towers in a target area and a target period, extracting multiple image sampling periods from the multiple groups of transmission line bird damage data and calculating the mean; calculating the sampling weight of each image sampling period; calculating the time-weighted bird damage number corresponding to each tower; extracting neighboring towers located in the neighborhood set by the benchmark tower; calculating the distance between the benchmark tower and any neighboring tower; calculating the distance weight of each neighboring tower; calculating the neighborhood weighted bird damage number of each benchmark tower; calculating the total number of bird damages for each tower; sorting the towers according to the total number of bird damages, and setting bird-repellent devices on the towers before the set ranking; and / or activating the bird-repellent devices on the towers before the set ranking. A system is also disclosed. The present invention can set a reasonable number of bird-repellent devices for a large-scale target area and locate the optimal layout position.

Description

[0001] Technology Neighborhood

[0002] The present invention belongs to the technical field of intelligent operation and inspection of power transmission lines, and in particular relates to an optimized deployment method and system for bird-repelling devices. Background Art

[0003] With the rapid development of the national economy, the number of power transmission lines is increasing. At the same time, with the continuous improvement of people's awareness of animal protection and the continuous optimization of the living environment of birds, the number of birds is also on the rise. What is worrying is that more and more birds will build nests, breed, rest, defecate or peck on the towers of overhead transmission lines; the longer bird nest materials will reduce or short-circuit the air gap, causing the overhead transmission line to trip, and the bird droppings will form a conductive channel, causing the air gap of the tower to break down, or attach to the insulator to cause surface discharge and flashover, and the birds resting on the power lines will reduce the air gap distance between the phases or the ground of the overhead transmission lines, causing air breakdown and causing the overhead transmission line to trip, and the bird pecks will damage the composite insulator shed or sheath, causing damage to the composite insulator and endangering the safe operation of the line.

[0004] In the prior art, bird-repelling systems are often used to drive away birds, such as the technical solution disclosed in the Chinese patent application (CN111466363A), in which the bird-repelling system includes: a device for generating a light beam, a power supply, a control unit, and an input module, wherein the device for generating a light beam includes a scanning device, the scanning device is used to rotate the light beam at a specified lateral angle and vertical angular velocity relative to the normal axis, and the input unit is configured to be programmed in the teaching mode to control the light beam to rotate at a specified lateral angle and vertical angle, identify the specified lateral angle and vertical angle as continuous path points that define the laser scanning area, and store the path points in the control unit. This bird-repelling system can easily input the area of ​​concern and trajectory, which increases the threat that can be perceived by birds and has a certain coverage area.

[0005] When the selected bird repellent system is more and more intelligent and has adjustable coverage area, coverage angle and path points, the question becomes how many bird repellent systems should be set up in a certain area and where to set them up. Bird repellent systems need to be used in outdoor environments and have certain operation and maintenance costs. Too many bird repellent systems will cause obvious equipment redundancy, which is not conducive to improving the efficiency of intelligent operation and inspection of power transmission lines; too few bird repellent systems will not achieve the ideal bird repellent effect and cannot ensure the safe operation of power transmission lines.

[0006] The above information disclosed in this background technology is only used to increase the understanding of the background technology of this application, and therefore, it may include prior art that is not known to ordinary technicians in this field. Summary of the invention

[0007] The present invention designs and provides a method for optimizing the deployment of bird repellent devices in order to solve the problems in the prior art that it is impossible to accurately determine the number of bird repellent systems to be installed in an area and the locations of the bird repellent systems; too many systems may easily lead to equipment redundancy and increase operation and maintenance costs; too few systems may fail to achieve an ideal bird repellent effect and ensure the safe operation of power transmission lines.

[0008] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solutions:

[0009] A method for optimizing the deployment of a bird-repelling device comprises the following steps:

[0010] Calling multiple groups of transmission line bird damage data corresponding to multiple towers in a target area and a target period; any group of transmission line bird damage data includes: tower name, tower longitude, tower latitude, image sampling period, image sampling equipment activation time and the number of bird damage hidden dangers identified in a number of unit time periods, wherein the unit time period is divided by the target time period;

[0011] Extract multiple image sampling periods from multiple groups of transmission line bird damage data, recorded as:

[0012] {Int 1 ,Int 2 ,…,Int N}; where N is the number of bird damage data on transmission lines;

[0013] Calculate the average value of multiple image sampling periods, denoted as Ave int ;

[0014]

[0015] Calculate the sampling weight of each image sampling period, denoted as {w p1 ,w p2 ,…w pN};in

[0016] Calculate the time-weighted bird damage number B corresponding to each tower i_1 , time-weighted bird damage number B i_1 satisfy:

[0017] Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, B i_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, T i_1The duration between the image sampling device enabling time and the target time period end time, T i_2 is the duration of the target period;

[0018] Select one tower as the benchmark tower in turn, and extract the neighboring towers within the neighborhood set by the benchmark tower:

[0019] The set neighborhood is a circular area with the reference tower as the center and the set radius as the radius;

[0020] Calculate the distance between the benchmark tower and any neighboring tower, recorded as:

[0021] {D 1 , D 2 , ..., D k}, where D 1 Represents the distance between the reference tower and the first neighboring tower, D 2 represents the distance between the reference tower and the second neighboring tower, ..., D k represents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), and A represents the number of neighboring towers of the benchmark tower;

[0022] Calculate the distance weight of each neighborhood tower, denoted as {w d1 , w d2 , ...w dA},in D B To set the radius;

[0023] Calculate the weighted bird damage number B in the neighborhood of each benchmark tower a_1 , neighborhood weighted bird damage number B a_1 satisfy:

[0024] B a_1 =B x1 × d1 +B x2 × d2 +…+B xA × dA ;

[0025] Among them B xk =B k_m1 +B k_m2 +…+B k_ml ;

[0026] Calculate the total number of bird damages per tower B i_2 , total number of bird damage B i_2 satisfy:

[0027] where w 1is the time weighted weight, w 2 Weight the neighborhood;

[0028] According to the total number of bird damage B i_2 The pole towers are ranked, and bird-repellent devices are installed on the pole towers before the set ranking; and / or the bird-repellent devices on the pole towers before the set ranking are activated.

[0029] Another aspect of the present invention provides an optimized deployment system for bird repellent devices, comprising:

[0030] A calling module, wherein the calling module is configured to call multiple groups of transmission line bird damage data of multiple towers in a target area and a target period; any group of transmission line bird damage data includes: tower name, tower longitude, tower dimension, image sampling period, image sampling device activation time, and the number of bird damage hidden dangers identified in a number of unit time periods, wherein the unit time period is divided by the target time period;

[0031] The first calculation module is configured to calculate the time-weighted bird damage number B corresponding to each tower i_1 , calculate the time-weighted bird damage number B i_1 The first computing module performs the following steps:

[0032] Extract multiple image sampling periods from multiple groups of transmission line bird damage data, recorded as:

[0033] {Int 1 , Int 2 , ..., Int N}; where N is the number of bird damage data on transmission lines;

[0034] Calculate the average value of multiple image sampling periods, denoted as Ave int

[0035]

[0036] Calculate the sampling weight of each image sampling period, denoted as {w p1 , w p2 , ...w pN};in

[0037] Calculate the time-weighted bird damage number B corresponding to each tower i_1 , time-weighted bird damage number B i_1 satisfy:

[0038] Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, Bi_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, T i_1 The duration between the image sampling device enabling time and the target time period end time, T i_2 is the duration of the target period;

[0039] The second calculation module is configured to calculate the neighborhood weighted bird damage number B of each benchmark tower. a_1 , calculate the weighted bird damage number B in the neighborhood a_1 The second computing module performs the following steps:

[0040] Select one pole tower as the benchmark pole tower in turn, and extract the neighboring pole towers located in the neighborhood set by the benchmark pole tower;

[0041] The set neighborhood is a circular area with the reference tower as the center and the set radius as the radius;

[0042] Calculate the distance between the benchmark tower and any neighboring tower, recorded as:

[0043] {D 1 , D 2 , ..., D k}, where D 1 Represents the distance between the reference tower and the first neighboring tower, D 2 represents the distance between the reference tower and the second neighboring tower, ..., D k represents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), and A represents the number of neighboring towers of the benchmark tower;

[0044] Calculate the distance weight of each neighborhood tower, denoted as {w d1 , w d2 , ...w dA},in D B To set the radius;

[0045] Calculate the weighted bird damage number B in the neighborhood of each benchmark tower a_1 , neighborhood weighted bird damage number B a_1 satisfy:

[0046] B a_1 =B x1 × d1 +B x2 × d2 +…+B xA × dA ;

[0047] Among them B xk =Bk_m1 +B k_m2 +…+B k_ml ;

[0048] The third calculation module is configured to calculate the total number of bird damages B for each tower. i_2 , total number of bird damage B i_2 satisfy:

[0049] where w 1 is the time weighted weight, w 2 Weight the neighborhood;

[0050] and

[0051] Configuration module, the configuration module is configured to i_2 The pole towers are ranked, and bird-repellent devices are installed on the pole towers before the set ranking; and / or the bird-repellent devices on the pole towers before the set ranking are activated.

[0052] Compared with the prior art, the advantages and positive effects of the present invention are:

[0053] The present invention can set a reasonable number of bird-repelling devices for a large target area and locate the optimal deployment position, thereby avoiding equipment redundancy and increasing operation and maintenance costs, while achieving an ideal bird-repelling effect and ensuring the safety of power transmission lines.

[0054] After reading the specific embodiments of the present invention in conjunction with the accompanying drawings, other features and advantages of the present invention will become more clear. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0056] Figure 1 A flowchart of a specific embodiment of the method for optimizing the deployment of the bird-repelling device provided by the present invention;

[0057] Figure 2 The present invention provides a schematic structural block diagram of a specific embodiment of the optimized deployment system of the bird-repelling device provided by the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0059] It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings, which are only for the convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0060] In view of the problem that the existing technology cannot accurately determine the number of bird repellent systems to be set up in an area and the location of the bird repellent systems, too many of them may easily cause equipment redundancy and increase operation and maintenance costs, while too few of them cannot ensure a controllable bird repellent effect and increase the safety risk of power transmission lines, an optimized layout method of bird repellent devices is proposed. Figure 1 shown.

[0061] The optimal layout method of bird repellent device is as follows: Figure 1 The following are the steps shown in Figure 1 Introduce them one by one.

[0062] Step S100: calling multiple groups of transmission line bird damage data corresponding to multiple towers in a target area and a target period.

[0063] The above-mentioned target period is a period of time in the past. The transmission line bird damage data and the towers have a one-to-one data relationship. Any set of transmission line bird damage data includes: tower name, tower longitude, tower dimension, image sampling period, image sampling equipment activation time and the number of bird damage hidden dangers identified in several unit time periods, and the unit time period is divided by the target time period. Exemplarily, the number of bird damage hidden dangers identified includes the sum of nesting bird damage hidden dangers, resident bird damage hidden dangers, feces bird damage hidden dangers, and bird pecking bird damage hidden dangers. Technical personnel in this field can undoubtedly understand that the number of bird damage hidden dangers identified can also include other types of bird damage.

[0064] The number of bird damage hazards identified within a number of unit time periods is obtained by calling the visualization remote patrol system. The visualization remote patrol system is configured to access the monitoring device to collect images and videos, and can identify one or more bird damage hazards from a single image (single image or single frame image) and store them according to timestamps. The visualization remote patrol system is a computer system, also known as a master station system, which can access the status monitoring information of the power transmission equipment, and perform centralized storage, unified processing and application. The image sampling device is implemented by the monitoring device, which includes an image monitoring device and / or a video monitoring device for sampling images or videos of pole towers, pole tower foundations, cables, ground wires, insulator strings, grounding devices and / or ancillary facilities. In an optional embodiment, the number of bird damage hazards identified is based on a certain pole tower, including the sum of the number of bird damage hazards identified from the pole tower image, the pole tower foundation image, the ground wire image, the insulator string image, the grounding device image and the ancillary facility image. Under the condition that the computing power of the hardware device is limited, in another optional embodiment, the number of bird damage hazards identified can also be the number of bird damage hazards identified from the pole tower image. Exemplarily, the visual remote patrol system is configured with a target detection algorithm to identify bird damage hazards in images, such as the YOLO (You Only Look Once) algorithm. YOLO is an object recognition and positioning algorithm based on a deep neural network, has a fast movement speed, and can be used in real-time systems. Other target detection algorithms can also be configured in the visual remote patrol system. The training of the neural network adopts common technical means in the prior art, which will not be repeated here.

[0065] In a preferred implementation, the target time period and the unit time period are both based on months, and the number of bird damage hidden dangers identified in a unit time period is the number of bird damage hidden dangers identified in a certain month.

[0066] The image sampling period is the image acquisition time interval of the monitoring device. The image acquisition time interval meets the minimum acquisition time interval of no more than 1 minute. In addition to bird damage hazards, the visual remote patrol system also identifies other hazards such as ice cover hazards, fireworks hazards, and dancing hazards through target recognition algorithms. Therefore, according to the specific conditions of each tower, the monitoring device has different image acquisition time intervals. It usually follows the rule that the image acquisition time interval is small in areas prone to bird damage, line inspection, or difficult repairs, and vice versa. Therefore, the image sampling period is different for different towers. In addition, the activation time of the image sampling equipment is different, and the use time of some image sampling equipment cannot cover the target time period.

[0067] Any set of transmission line bird damage data can be stored in the following data formats:

[0068] {Name; Longitude; Latitude; Interval; Start Hour; (Month: Bird Damage)}

[0069] Compared with the hidden dangers of ice, fireworks, dancing, etc., the hidden danger of bird damage is more uncertain. Different image acquisition time intervals and activation times will further increase the discreteness of the identified target, making the target identification result unable to meet the requirements of balance and stability. To overcome this defect, the optimized deployment method of the bird repellent device provided by the present invention is further designed with the following steps.

[0070] Step S101: extracting multiple image sampling periods from multiple groups of power transmission line bird damage data.

[0071] Multiple image sampling periods are recorded as: {Int 1 , Int 2 , ..., Int N}, where N is the number of bird damage data for transmission lines, which is the same as the number of towers in the target area.

[0072] Step S102: Calculate the average value of multiple image sampling periods, denoted as Ave int .

[0073] The average value Aveint of the image sampling period satisfies

[0074] Step S103: Calculate the sampling weight of each image sampling period.

[0075] Multiple sampling weights are recorded as: recorded as {w p1 , w p2 , ...w pN}.

[0076] Each sampling weight satisfies That is, the sampling weight is the ratio of each image sampling period to the average value of the image sampling period.

[0077] Step S104: Calculate the time-weighted bird damage number corresponding to each tower.

[0078] Time-weighted bird damage number B i_1 satisfy:

[0079] Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, B i_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, Ti_1 The duration between the image sampling device enabling time and the target time period end time, T i_2 is the duration of the target period.

[0080] In a preferred embodiment, the number of bird damage hazards identified within a unit period is the number of bird damage hazards identified within a certain month, that is, B i_m1 is the number of bird damage hazards identified in the first month, which can be obtained from the visual remote patrol system. i_m2 is the number of bird damage hazards identified in the second month; and so on, B i_ml is the number of bird damage hazards identified in the first month. i_1 The duration between the activation time of the image sampling device and the end time of the target period, that is, the usage time of the image sampling device, T i_1 The duration between the time the image sampling device is enabled and the end of the target period, usually several months.

[0081] Time-weighted bird damage number B i_1 It reflects the distribution of bird damage in the time dimension of the tower. Since bird damage is also related to spatial distribution, for example, if there are water sources and forests in a certain area, bird damage is more likely to occur. In order to reflect the distribution of bird damage in the spatial dimension centered on a certain tower, the optimized deployment method of the bird repellent device provided by the present invention is also designed with the following steps.

[0082] Step S105: selecting one pole tower as a reference pole tower in turn, and extracting neighboring pole towers within a neighborhood set within a neighborhood set by the reference pole tower.

[0083] Exemplarily, a pole tower can be selected in sequence as a benchmark pole tower according to the sequence of pole tower names (Name). The pole tower name can be a sequence number or other name. When naming, it can be sorted in alphabetical order. After extracting the benchmark pole tower, since the longitude and latitude of the benchmark pole tower are known, the neighborhood pole tower of the benchmark pole tower can be found within the set neighborhood. The set neighborhood is preferably a circular area with the benchmark pole tower as the center and the set radius as the radius. Exemplarily, the set radius can be optionally set to 10km.

[0084] Step S106: Calculate the distance between the reference tower and any area tower.

[0085] Multiple distances can be recorded as: {D 1 , D 2 , ..., D k}, where D 1 Represents the distance between the reference tower and the first neighboring tower, D 2 Represents the distance between the reference tower and the second neighboring tower, and so on, D kRepresents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), and A represents the number of neighboring towers of the benchmark tower.

[0086] Step S107: Calculate the distance weight of each neighborhood tower.

[0087] The distance weights of multiple neighboring towers can be expressed as: {w d1 , w d2 , ...w dA}.

[0088] Each distance weight satisfies D B is the set radius of the neighborhood of the benchmark tower, that is, the distance weight is the ratio of the distance between the benchmark tower and the neighborhood tower to the set radius.

[0089] Step S108: Calculate the weighted bird damage number in the neighborhood of each benchmark tower.

[0090] Neighborhood weighted bird damage number B a_1 satisfy:

[0091] B a_1 =B x1 × d1 +B x2 × d2 +…+B xA × dA ;

[0092] Among them B xk =B k_m1 +B k_m2 +…+B k_ml .

[0093] B xk Represents the number of bird damage hazards identified in the neighborhood towers during the target period, that is, the sum of the number of bird damage hazards identified in a total of l unit periods. Neighborhood weighted bird damage number B a_1 The result of accumulating the product of the number of bird damage hazards identified for each neighborhood tower during the target period and the corresponding distance weight can reflect the distribution of bird damage in the set area centered on the benchmark tower.

[0094] Step S109: further calculating the total number of bird damages on each tower.

[0095] Total number of bird damages B i_2 satisfy:

[0096] where w 1 is the time weighted weight, w 2The first time-weighted weight and the neighborhood-weighted weight may be preset and stored in advance, or may be generated by an artificial intelligence system during use, and the artificial intelligence system is preferably a computer configured as a machine learning algorithm or an expert system. In an optional embodiment, the set value of the time-weighted weight is less than the set value of the neighborhood-weighted weight, or the initial value of the time-weighted weight is less than the initial value of the neighborhood-weighted weight.

[0097] Step S110: According to the total number of bird damage B i_2 All pole towers are sorted, and bird-repellent devices are installed on the pole towers before the set ranking, and / or the bird-repellent devices on the pole towers before the set ranking are activated.

[0098] The ranking can be set to the top 10% of towers.

[0099] The bird repellent device is installed on the top 10% of the towers. As the lateral angle and vertical angle of the beam of the bird repellent device can be rotated, the bird repellent device can cover the top 10% of the towers and their surrounding areas. The ranking of the towers takes into account the factors of time and space dimensions, and can effectively control bird damage in the target area.

[0100] In an optional implementation, when the target area is relatively small, a bird repellent device may be installed on each tower, and the bird repellent devices on the towers before the set ranking may be activated. In this case, when the ranking of the towers changes in the next target period, a reasonable deployment plan for the bird repellent devices may be formed to ensure the safe and stable operation of the power transmission equipment.

[0101] In an optional embodiment, further according to the total number of bird damage B i_2 The inspection frequency is set based on the generated tower ranking. The higher the ranking, the higher the inspection frequency, and the lower the ranking, the lower the inspection frequency, thus forming a reasonable inspection plan.

[0102] The following is a specific example of an optimized deployment method for a bird-repellent device.

[0103] The image sampling device is a camera. There are 24,000 poles in the target area, and the target period is 16 months from January 2021 to April 2022.

[0104] The bird damage data of multiple groups of transmission lines are shown in the following table:

[0105]

[0106] Table 1

[0107] The format of the number of bird damage hazards identified in a unit period is: "Month code: number of bird damage hazards identified". Month code 1 represents January 2021, and so on, month code 16 represents April 2022.

[0108] The average value of 24,000 image sampling periods is calculated, and for example, is calculated to be 11.929.

[0109] Further calculation of 24000 sampling weights, for example A total of 24,000.

[0110] Calculate the time-weighted bird damage number corresponding to each tower

[0111] For example, the time-weighted bird damage number of the first tower is:

[0112]

[0113] Calculate in sequence:

[0114] Tower Name Time-weighted bird damage 1 3254 2 453 3 532 4 532 ……

[0115] Select the benchmark towers in turn, extract the neighborhood towers of the benchmark towers, calculate the distance between the benchmark towers and the neighborhood towers and calculate the distance weight, and we can get:

[0116] Tower Name Neighborhood tower name Distance Weight 1 2，5，10，234 0.69，0.24，0.53，0.243 2 1，5，234，256 0.34，0.543，0.34，0.56 3 31，23，9，540，93 0.23，0.67，0.78，0.56，0.45 4 532，344，65，34，65 0.32，0.64，0.74，0.85，0.95 ……

[0117] Further calculation of the weighted bird damage number in the neighborhood of each benchmark tower yields:

[0118] Tower Name Neighborhood weighted bird damage count 1 22655.23 2 3546.234 3 234.32 4 3546.45 ……

[0119] Further calculate the total number of bird damages for each tower and set the time weighted weight w 1 is 0.23, and the neighborhood weight w 2 is 0.77, we can conclude that:

[0120] Tower Name Total bird damage 1 9096.47 2 1417.39 3 151.43 4 1426.39 ……

[0121] Further, the ranking of all towers can be obtained, and the top 10% of 2400 towers can be obtained, such as 4324, 2354, 324, 12, 5423, etc.

[0122] The present invention can effectively select 2400 poles from 24000 poles to arrange bird-repelling devices. The bird-repelling devices are arranged at reasonable positions and in appropriate quantities, thus avoiding equipment redundancy and achieving an ideal bird-repelling effect.

[0123] The second aspect of the present invention provides an optimized deployment system of a bird-repelling device, referring to Figure 2 As shown, it includes multiple components.

[0124] The calling module 10 is configured to call multiple groups of transmission line bird damage data of multiple towers in a target area and a target period; any group of transmission line bird damage data includes: tower name, tower longitude, tower dimension, image sampling period, image sampling equipment activation time and the number of bird damage hidden dangers identified in a number of unit time periods, where the unit time period is divided by the target time period.

[0125] The first calculation module 20 is configured to calculate the time-weighted bird damage number B corresponding to each tower. i_1 , calculate the time-weighted bird damage number B i_1 The first computing module performs the following steps:

[0126] Extract multiple image sampling periods from multiple groups of transmission line bird damage data, recorded as:

[0127] {Int 1 , Int 2 , ..., Int N}; where N is the number of bird damage data on transmission lines;

[0128] Calculate the average value of multiple image sampling periods, denoted as Ave int

[0129]

[0130] Calculate the sampling weight of each image sampling period, denoted as {w p1 , w p2 , ...w pN};in

[0131] Calculate the time-weighted bird damage number B corresponding to each tower i_1 , time-weighted bird damage number B i_1 satisfy:

[0132] Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, B i_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, T i_1 The duration between the image sampling device enabling time and the target time period end time, T i_2 is the duration of the target period.

[0133] The second calculation module 30 is configured to calculate the neighborhood weighted bird damage number B of each benchmark tower. a_1 , calculate the neighborhood weighted bird damage number B a_1 The second computing module performs the following steps:

[0134] Select one pole tower as the benchmark pole tower in turn, and extract the neighboring pole towers located in the neighborhood set by the benchmark pole tower;

[0135] Set the neighborhood as a circular area with the reference tower as the center and the radius as the radius;

[0136] Calculate the distance between the benchmark tower and any neighboring tower, recorded as:

[0137] {D 1 , D 2 , ..., D k}, where D 1 Represents the distance between the reference tower and the first neighboring tower, D 2 represents the distance between the reference tower and the second neighboring tower, ..., D k represents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), and A represents the number of neighboring towers of the benchmark tower;

[0138] Calculate the distance weight of each neighborhood tower, denoted as {w d1 , w d2 , ...w dA},in k∈(1, 2, ..., A), D B To set the radius;

[0139] Calculate the weighted bird damage number B in the neighborhood of each benchmark tower a_1 , neighborhood weighted bird damage number B a_1 satisfy:

[0140] B a_1 =B x1 × d1 +B x2 × d2 +…+B xA × dA ;

[0141] Among them B xk =B k_m1 +B k_m2 +…+B k_ml .

[0142] The third calculation module 40 is configured to calculate the total number of bird damages B of each tower. i_2 , total number of bird damage B i_2 satisfy:

[0143] where w 1 is the time weighted weight, w 2 Add weights to the neighborhood.

[0144] Configuration module 50, configuration module 50 is configured to i_2 The pole towers are ranked, and bird-repellent devices are installed on the pole towers before the set ranking; and / or the bird-repellent devices on the pole towers before the set ranking are activated.

[0145] Among them, the calling module 10 calls the number of bird damage hazards identified within a number of unit time periods from the visual remote patrol system; the visual remote patrol system is configured to access images and videos collected by the monitoring device, and can identify one or more bird damage hazards from a single image.

[0146] The image sampling period is the image acquisition time interval of the monitoring device, and the image acquisition time interval satisfies the minimum acquisition time interval of no more than 1 minute.

[0147] Both the target period and the unit period are based on months.

[0148] In an optional embodiment, the system further includes a setting module configured to set the total number of bird damages B based on the total number of bird damages B. i_2 The inspection frequency is set according to the generated tower ranking. The higher the ranking, the higher the inspection frequency.

[0149] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method recorded in the above method embodiments.

[0150] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0151] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the system embodiments described above are only schematic, such as the division of the above-mentioned units or modules, which is only a logical function division. There may be other division methods in actual implementation, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical or other forms.

[0152] The units described above 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 may be located in one physical space, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0153] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0154] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for a person skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions claimed to be protected by the present invention.

Claims

1. A method for optimizing the deployment of a bird-repelling device, characterized in that: The following steps are involved: Call multiple groups of transmission line bird damage data corresponding to multiple towers in the target area and target period; Any set of transmission line bird damage data includes: tower name, tower longitude, tower latitude, image sampling period, image sampling equipment activation time and the number of bird damage hidden dangers identified in a number of unit time periods, wherein the unit time period is divided by the target time period; Extract multiple image sampling periods from multiple groups of transmission line bird damage data, recorded as: {Int1, Int2, ..., Int N }; where N is the number of bird damage data on transmission lines; Calculate the average value of multiple image sampling periods, denoted as Ave int ; Calculate the sampling weight of each image sampling period, denoted as {w p1 , w p2 , ...w pN };in Calculate the time-weighted bird damage number B corresponding to each tower i_1 , time-weighted bird damage number B i_1 satisfy: Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, B i_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, T i_1 The duration between the image sampling device enabling time and the target time period end time, T i_2 is the duration of the target period; Select one pole tower as the benchmark pole tower in turn, and extract neighboring pole towers located in a neighborhood set by the benchmark pole tower; the neighborhood set is a circular area with the benchmark pole tower as the center and the set radius as the radius; Calculate the distance between the benchmark tower and any neighboring tower, recorded as: {D1, D2, ..., D k }, where D1 represents the distance between the reference tower and the first neighboring tower, D2 represents the distance between the reference tower and the second neighboring tower, ..., D k represents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), A represents the number of neighboring towers of the benchmark tower; Calculate the distance weight of each neighborhood tower, denoted as {w d1 , w d2 , ...w dA },in D B To set the radius; Calculate the weighted bird damage number B in the neighborhood of each benchmark tower a_1 , neighborhood weighted bird damage number B a_1 satisfy: B a _1=B x1 ×w d1 +B x2 ×w d2 +…+B xA ×w dA ; Among them B xk =B k_m1 +B k_m2 +…+B k_ml ; Calculate the total number of bird damages per tower B i_2 , total number of bird damage B i_2 satisfy: Where w1 is the time-weighted weight, w2 is the neighborhood-weighted weight; According to the total number of bird damage i_2 The pole towers are ranked, and bird-repellent devices are installed on the pole towers before the set ranking; and / or the bird-repellent devices on the pole towers before the set ranking are activated.

2. The method for optimizing the deployment of the bird-repelling device according to claim 1, characterized in that: The number of bird damage hazards identified within a number of unit time periods is obtained by calling a visual remote patrol system; the visual remote patrol system is configured to access images and videos collected by the monitoring device and can identify one or more bird damage hazards from a single image.

3. The method for optimizing the deployment of the bird-repelling device according to claim 2, characterized in that: The image sampling period is the image acquisition time interval of the monitoring device, and the image acquisition time interval satisfies a minimum acquisition time interval of no more than 1 minute.

4. The method for optimizing the deployment of the bird-repelling device according to claim 3, characterized in that: The following steps are also included: Based on the total number of bird damage B i_2 The inspection frequency is set according to the generated tower ranking. The higher the ranking, the higher the inspection frequency.

5. The method for optimizing the deployment of the bird-repelling device according to claim 4, characterized in that: The target period and unit period are both based on months.

6. An optimized deployment system for bird repellent devices, characterized in that: include: A calling module, wherein the calling module is configured to call multiple groups of transmission line bird damage data of multiple towers in a target area and a target period; Any set of transmission line bird damage data includes: tower name, tower longitude, tower dimension, image sampling period, image sampling equipment activation time, and the number of bird damage hidden dangers identified in a number of unit time periods, where the unit time period is divided by the target time period; The first calculation module is configured to calculate the time-weighted bird damage number B corresponding to each tower i_1 , calculate the time-weighted bird damage number B i_1 The first computing module performs the following steps: Extract multiple image sampling periods from multiple groups of transmission line bird damage data, recorded as: {Int1, Int2, ..., Int N }; where N is the number of bird damage data on transmission lines; Calculate the average value of multiple image sampling periods, denoted as Ave int Calculate the sampling weight of each image sampling period, denoted as {w p1 , w p2 , ...w pN };in Calculate the time-weighted bird damage number B corresponding to each tower i_1 , time-weighted bird damage number B i_1 satisfy: Among them B i_m1 is the number of bird damage hazards identified in the first unit period, B i_m2 is the number of bird damage hazards identified in the second unit period, B i_ml is the number of bird damage hazards identified in the lth unit time period, l is the number of divided unit time periods, T i_1 The duration between the image sampling device enabling time and the target time period end time, T i_2 The duration of the target period is: The second calculation module is configured to calculate the neighborhood weighted bird damage number B of each benchmark tower. a_1 , calculate the weighted bird damage number B in the neighborhood a_1 The second computing module performs the following steps: Select one pole tower as the benchmark pole tower in turn, and extract neighboring pole towers located in a neighborhood set by the benchmark pole tower; the neighborhood set is a circular area with the benchmark pole tower as the center and the set radius as the radius; Calculate the distance between the benchmark tower and any neighboring tower, recorded as: {D1, D2, ..., D k }, where D1 represents the distance between the reference tower and the first neighboring tower, D2 represents the distance between the reference tower and the second neighboring tower, ..., D k represents the distance between the benchmark tower and the kth neighboring tower, k∈(1, 2, ..., A), and A represents the number of neighboring towers of the benchmark tower; Calculate the distance weight of each neighborhood tower, denoted as {w d1 , w d2 , ...w dA },in k∈(1, 2, ..., A), D B To set the radius; Calculate the weighted bird damage number B in the neighborhood of each benchmark tower a_1 , neighborhood weighted bird damage number B a_1 satisfy: B a_1 =B x1 ×w d1 +B x2 ×w d2 +…+B xA ×w dA ; Among them B xk =B k_m1 +B k_m2 +…+B k_ml ; The third calculation module is configured to calculate the total number of bird damages B for each tower. i_2 , total number of bird damage B i_2 satisfy: Where w1 is the time-weighted weight, w2 is the neighborhood-weighted weight; and Configuration module, the configuration module is configured to i_2 The pole towers are ranked, and bird-repellent devices are installed on the pole towers before the set ranking; and / or the bird-repellent devices on the pole towers before the set ranking are activated.

7. The optimized deployment system of the bird repellent device according to claim 6, characterized in that: The calling module calls the number of bird damage hidden dangers identified within a number of unit time periods from the visual remote patrol system; the visual remote patrol system is configured to access images and videos collected by the monitoring device, and can identify one or more bird damage hidden dangers from a single image.

8. The optimized deployment system of the bird repellent device according to claim 7, characterized in that: The image sampling period is the image acquisition time interval of the monitoring device, and the image acquisition time interval satisfies a minimum acquisition time interval of no more than 1 minute.

9. The optimized deployment system of the bird repellent device according to claim 8, characterized in that: Also includes: The setting module is configured to be based on the total number of bird damage B i_2 The inspection frequency is set according to the generated tower ranking. The higher the ranking, the higher the inspection frequency.

10. The optimized deployment system of the bird repellent device according to claim 9, characterized in that: The target period and unit period are both based on months.

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