A method and device for quantitatively evaluating effectiveness of a bird strike warning device

Abstract

The present application relates to the technical field of power safety detection facility evaluation, and specifically provides a kind of anti-bird collision warning device effectiveness quantitative evaluation method and device, comprising: based on the effectiveness quantitative evaluation system of anti-bird collision warning device, the effectiveness comprehensive evaluation score of the anti-bird collision warning device to be evaluated is determined;Based on the effectiveness comprehensive evaluation score of the anti-bird collision warning device to be evaluated, the effectiveness of the anti-bird collision warning device to be evaluated is determined.The technical scheme provided by the present application combines avian visual physiology and material environmental engineering, and constructs an interdisciplinary evaluation framework, and the evaluation result is more in line with reality.

Description

Technical Field

[0001] This invention relates to the field of power safety testing facility evaluation technology, specifically to a quantitative evaluation method and device for the effectiveness of bird strike warning devices. Background Technology Bird strikes pose a significant threat to the safe operation of power grids and the survival of birds. To prevent such incidents, various bird strike warning devices have emerged on the market, such as bird spikes, warning balls, and bird deterrents. However, the industry currently lacks scientific and unified evaluation standards to measure the actual effectiveness of these devices.

[0002] Existing evaluation methods rely heavily on subjective experience, making it difficult to compare the performance of different devices, resulting in inconsistent product quality, and some devices even performing poorly due to design flaws. This poses significant challenges to product selection, quality acceptance, and operation and maintenance management in the power sector. Summary of the Invention

[0003] To overcome the above-mentioned shortcomings, this invention proposes a method and apparatus for quantitatively evaluating the effectiveness of bird strike warning devices.

[0004] Firstly, a method for quantitatively evaluating the effectiveness of a bird strike warning device is provided, the method comprising: A comprehensive evaluation score for the effectiveness of bird strike warning devices is determined based on a quantitative evaluation system for the effectiveness of the devices being evaluated. The effectiveness of the bird strike warning device to be evaluated is determined based on the comprehensive evaluation score.

[0005] Preferably, the quantitative evaluation system for the effectiveness of the bird strike warning device is a two-level evaluation system, wherein the first-level indicators include: weather resistance indicator layer and visual indicator layer; The secondary evaluation indicators corresponding to the weather resistance index layer include at least one of the following: low temperature adaptability, ultraviolet aging performance, salt spray corrosion performance, and wind load performance. The secondary evaluation indicators corresponding to the visual indicator layer include at least one of the following: color contrast, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate.

[0006] Furthermore, the weights corresponding to the secondary evaluation indicators are determined by a combined weighting method.

[0007] Furthermore, the weights corresponding to the secondary evaluation indicators are as follows:

[0008] In the above formula, For comprehensive weighting, Subjective weighting, The objective weights are α, where α is the weighting coefficient and 0 ≤ α ≤ 1.

[0009] Furthermore, the weight ratio of the weather resistance index layer to the visual index layer is 0.6:0.4.

[0010] Furthermore, the subjective weights are obtained using the analytic hierarchy process (AHP), and the objective weights are obtained using the entropy weighting method.

[0011] Furthermore, the weights for low-temperature adaptability are 0.392, UV aging performance is 0.25, salt spray corrosion performance is 0.132, and wind load performance is 0.226; the weights for color contrast ratio, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate are 0.1.

[0012] Furthermore, the comprehensive evaluation score for the effectiveness of the bird strike warning device to be evaluated is as follows: X = ab + cde In the above formula, X is the comprehensive evaluation score of the effectiveness of the bird collision warning device to be evaluated, a is the score corresponding to the weather resistance index layer, b is the weight corresponding to the weather resistance index layer, c is the score corresponding to the visual index layer, d is the weight corresponding to the visual index layer, and e is the preset fitness coefficient corresponding to the species identified during the evaluation process.

[0013] Preferably, determining the effectiveness of the bird strike warning device based on its comprehensive effectiveness evaluation score includes: If the comprehensive evaluation score of the bird strike warning device to be evaluated exceeds the preset threshold, then the effectiveness of the bird strike warning device to be evaluated meets the standard; otherwise, the effectiveness of the bird strike warning device to be evaluated does not meet the standard.

[0014] Secondly, a quantitative evaluation device for the effectiveness of a bird strike warning device is provided, the device comprising: The determination module is used to determine the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated based on the quantitative evaluation system of the effectiveness of the bird strike warning device; The analysis module is used to determine the effectiveness of the bird strike warning device to be evaluated based on the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated.

[0015] Thirdly, a computer device is provided, comprising: one or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, a method for quantitatively evaluating the effectiveness of the bird strike warning device is implemented.

[0016] Fourthly, a computer-readable storage medium is provided having a computer program stored thereon, wherein when the computer program is executed, a method for quantitatively evaluating the effectiveness of the bird strike warning device is implemented.

[0017] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects: This invention relates to the field of power safety testing facility evaluation technology, specifically providing a quantitative evaluation method and apparatus for the effectiveness of bird strike warning devices. The method includes: determining a comprehensive evaluation score for the effectiveness of the bird strike warning device based on a quantitative evaluation system; and determining the effectiveness of the bird strike warning device based on the comprehensive evaluation score. The technical solution provided by this invention combines avian visual physiology with materials environmental engineering to construct an interdisciplinary evaluation framework, resulting in evaluation results that are more consistent with reality. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the main steps of the quantitative evaluation method for the effectiveness of the bird strike warning device according to an embodiment of the present invention. Detailed Implementation

[0019] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1 See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a method for quantitatively evaluating the effectiveness of a bird strike warning device according to an embodiment of the present invention. Figure 1 As shown, the quantitative evaluation method for the effectiveness of the bird strike warning device in this embodiment of the invention mainly includes the following steps: Step S101: Determine the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated based on the quantitative evaluation system of the effectiveness of the bird strike warning device; Step S102: Determine the effectiveness of the bird strike warning device to be evaluated based on the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated.

[0022] In this embodiment, the quantitative evaluation system for the effectiveness of the bird strike warning device is a two-level evaluation system, wherein the first-level indicators include: weather resistance indicator layer and visual indicator layer; The secondary evaluation indicators corresponding to the weather resistance index layer include at least one of the following: low temperature adaptability, ultraviolet aging performance, salt spray corrosion performance, and wind load performance. The secondary evaluation indicators corresponding to the visual indicator layer include at least one of the following: color contrast, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate.

[0023] In one implementation, the weights corresponding to the secondary evaluation indicators are determined by a combined weighting method.

[0024] In one implementation, the weights corresponding to the secondary evaluation indicators are as follows:

[0025] In the above formula, For comprehensive weighting, Subjective weighting, The objective weights are α, where α is the weighting coefficient and 0 ≤ α ≤ 1.

[0026] In one embodiment, the weight ratio of the weather resistance index layer to the visual index layer is 0.6:0.4.

[0027] In one implementation, the subjective weights are obtained using the analytic hierarchy process (AHP), and the objective weights are obtained using the entropy weighting method.

[0028] In one embodiment, the weights for low-temperature adaptability are 0.392, UV aging performance is 0.25, salt spray corrosion performance is 0.132, and wind load performance is 0.226; the weights for color contrast ratio, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate are 0.1.

[0029] In one embodiment, the overall evaluation score for the effectiveness of the bird strike warning device to be evaluated is as follows: X = ab + cde In the above formula, X is the comprehensive evaluation score of the effectiveness of the bird collision warning device to be evaluated, a is the score corresponding to the weather resistance index layer, b is the weight corresponding to the weather resistance index layer, c is the score corresponding to the visual index layer, d is the weight corresponding to the visual index layer, and e is the preset fitness coefficient corresponding to the species identified during the evaluation process.

[0030] In this embodiment, determining the effectiveness of the bird strike warning device based on its comprehensive effectiveness evaluation score includes: If the comprehensive evaluation score of the bird strike warning device to be evaluated exceeds the preset threshold, then the effectiveness of the bird strike warning device to be evaluated meets the standard; otherwise, the effectiveness of the bird strike warning device to be evaluated does not meet the standard.

[0031] Example 2 Based on the same inventive concept, the present invention also provides a quantitative evaluation device for the effectiveness of a bird strike warning device, the quantitative evaluation device for the effectiveness of a bird strike warning device comprising: The determination module is used to determine the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated based on the quantitative evaluation system of the effectiveness of the bird strike warning device; The analysis module is used to determine the effectiveness of the bird strike warning device to be evaluated based on the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated.

[0032] Preferably, the quantitative evaluation system for the effectiveness of the bird strike warning device is a two-level evaluation system, wherein the first-level indicators include: weather resistance indicator layer and visual indicator layer; The secondary evaluation indicators corresponding to the weather resistance index layer include at least one of the following: low temperature adaptability, ultraviolet aging performance, salt spray corrosion performance, and wind load performance. The secondary evaluation indicators corresponding to the visual indicator layer include at least one of the following: color contrast, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate.

[0033] Furthermore, the weights corresponding to the secondary evaluation indicators are determined by a combined weighting method.

[0034] Furthermore, the weights corresponding to the secondary evaluation indicators are as follows:

[0035] In the above formula, For comprehensive weighting, Subjective weighting, The objective weights are α, where α is the weighting coefficient and 0 ≤ α ≤ 1.

[0036] Furthermore, the weight ratio of the weather resistance index layer to the visual index layer is 0.6:0.4.

[0037] Furthermore, the subjective weights are obtained using the analytic hierarchy process (AHP), and the objective weights are obtained using the entropy weighting method.

[0038] Furthermore, the weights for low-temperature adaptability are 0.392, UV aging performance is 0.25, salt spray corrosion performance is 0.132, and wind load performance is 0.226; the weights for color contrast ratio, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate are 0.1.

[0039] Furthermore, the comprehensive evaluation score for the effectiveness of the bird strike warning device to be evaluated is as follows: X = ab + cde In the above formula, X is the comprehensive evaluation score of the effectiveness of the bird collision warning device to be evaluated, a is the score corresponding to the weather resistance index layer, b is the weight corresponding to the weather resistance index layer, c is the score corresponding to the visual index layer, d is the weight corresponding to the visual index layer, and e is the preset fitness coefficient corresponding to the species identified during the evaluation process.

[0040] Preferably, determining the effectiveness of the bird strike warning device based on its comprehensive effectiveness evaluation score includes: If the comprehensive evaluation score of the bird strike warning device to be evaluated exceeds the preset threshold, then the effectiveness of the bird strike warning device to be evaluated meets the standard; otherwise, the effectiveness of the bird strike warning device to be evaluated does not meet the standard.

[0041] Example 3 Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby realizing the steps of the quantitative evaluation method for the effectiveness of a bird strike warning device in the above embodiments.

[0042] Example 4 Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the quantitative evaluation method for the effectiveness of a bird strike warning device in the above embodiments.

[0043] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0044] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0045] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0046] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0047] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for quantitatively evaluating the effectiveness of a bird strike warning device, characterized in that, The method includes: A comprehensive evaluation score for the effectiveness of bird strike warning devices is determined based on a quantitative evaluation system for the effectiveness of the devices being evaluated. The effectiveness of the bird strike warning device to be evaluated is determined based on the comprehensive evaluation score.

2. The method as described in claim 1, characterized in that, The quantitative evaluation system for the effectiveness of the bird strike warning device is a two-level evaluation system, in which the first-level indicators include: weather resistance indicator layer and visual indicator layer; The secondary evaluation indicators corresponding to the weather resistance index layer include at least one of the following: low temperature adaptability, ultraviolet aging performance, salt spray corrosion performance, and wind load performance. The secondary evaluation indicators corresponding to the visual indicator layer include at least one of the following: color contrast, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate.

3. The method as described in claim 2, characterized in that, The weights corresponding to the secondary evaluation indicators are determined by the combined weighting method.

4. The method as described in claim 3, characterized in that, The weights corresponding to the secondary evaluation indicators are as follows: In the above formula, For comprehensive weighting, Subjective weighting, The objective weights are α, where α is the weighting coefficient and 0 ≤ α ≤ 1.

5. The method as described in claim 3, characterized in that, The weight ratio of the weather resistance index layer to the visual index layer is 0.6:0.

4.

6. The method as described in claim 4, characterized in that, The subjective weights are obtained using the analytic hierarchy process (AHP), and the objective weights are obtained using the entropy weighting method.

7. The method as described in claim 2, characterized in that, The weights for low-temperature adaptability are 0.392, UV aging performance is 0.25, salt spray corrosion performance is 0.132, and wind load performance is 0.226; the weights for color contrast ratio, visible distance, dynamic flicker frequency, infrared response speed, and visual attenuation rate are 0.

1.

8. The method as described in claim 2, characterized in that, The overall evaluation score for the effectiveness of the bird strike warning device to be evaluated is as follows: X = ab + cde In the above formula, X is the comprehensive evaluation score of the effectiveness of the bird collision warning device to be evaluated, a is the score corresponding to the weather resistance index layer, b is the weight corresponding to the weather resistance index layer, c is the score corresponding to the visual index layer, d is the weight corresponding to the visual index layer, and e is the preset fitness coefficient corresponding to the species identified during the evaluation process.

9. The method as described in claim 1, characterized in that, The determination of the effectiveness of the bird strike warning device under evaluation based on the comprehensive evaluation score of the effectiveness of the bird strike warning device under evaluation includes: If the comprehensive evaluation score of the bird strike warning device to be evaluated exceeds the preset threshold, then the effectiveness of the bird strike warning device to be evaluated meets the standard; otherwise, the effectiveness of the bird strike warning device to be evaluated does not meet the standard.

10. An apparatus for quantitatively evaluating the effectiveness of a bird strike warning device based on any one of claims 1-9, characterized in that, The device includes: The determination module is used to determine the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated based on the quantitative evaluation system of the effectiveness of the bird strike warning device; The analysis module is used to determine the effectiveness of the bird strike warning device to be evaluated based on the comprehensive evaluation score of the effectiveness of the bird strike warning device to be evaluated.

11. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, a method for quantitatively evaluating the effectiveness of the bird strike warning device as described in any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements a quantitative evaluation method for the effectiveness of the bird strike warning device as described in any one of claims 1 to 9.

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