Risk assessment method and device for bird collision with overhead transmission line by mistake

Abstract

The invention relates to the technical field of power transmission line protection, and discloses a risk assessment method and device for bird mistaken collision on an overhead power transmission line, and the method comprises the steps: building risk indexes through collecting bird biological characteristics and line and environment characteristic information, and determining a risk level through quantification and analytic hierarchy model weighting calculation; and the risk of the new line can be accurately evaluated without depending on historical collision data. Meanwhile, the method can dynamically adapt to bird population, habitat and other environment changes, newly-added high-risk sections are recognized in time, and the line collision risk caused by data missing or dynamic environment changes is effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of power transmission line protection technology, specifically to a method and device for risk assessment of bird collisions with overhead power transmission lines. Background Technology

[0002] Bird strikes and injuries caused by birds colliding with overhead power lines have had a significant negative impact on the ecological environment. In particular, the deaths and injuries of rare birds directly disrupt population balance and lead to serious ecological consequences. Field observations and studies show that areas where birds collide with power lines are not uniformly distributed but exhibit spatial clustering characteristics, a phenomenon that often occurs among specific bird groups in specific environments.

[0003] However, existing bird strike prevention measures for overhead transmission lines rely on risk zoning methods based on historical collision event statistics. But these methods lack corresponding historical collision data to support newly constructed lines or dynamically changing environments, making it difficult to assess the collision risk of such lines and leading to an increased risk of line collisions. Summary of the Invention

[0004] This invention provides a method and apparatus for risk assessment of bird collisions with overhead transmission lines, which solves the problem that existing technologies lack corresponding historical collision data to support the assessment of collision risks for newly built lines or dynamically changing environments, leading to increased line collision risks.

[0005] In a first aspect, the present invention provides a method for risk assessment of bird collisions with overhead transmission lines, the method comprising: Based on historical bird collision information around the overhead transmission line under test, obtain information on the biological characteristics of birds around the overhead transmission line under test, as well as information on the characteristics of the line and the environment. Construct multiple risk indicators for bird biological characteristics and multiple risk indicators for route and environmental characteristics based on the bird biological characteristic information; The risk indicators of the biological characteristics of each bird and the risk indicators of the route and environment are quantified, and all quantified risk indicators are input into a preset hierarchical analysis model. The weights corresponding to each quantified risk indicator are calculated using the hierarchical analysis model, and the risk level of the overhead transmission line under test is determined based on the quantified risk indicators and their corresponding weights.

[0006] This invention constructs risk indicators by collecting information on bird biological characteristics and route and environmental characteristics. Risk levels are then determined through weighted calculations using a quantitative and hierarchical analysis model, enabling accurate risk assessment of newly constructed routes without relying on historical collision data. Furthermore, it can dynamically adapt to changes in bird populations, habitats, and other environmental factors, promptly identifying newly added high-risk sections and effectively reducing the risk of route collisions caused by data gaps or dynamic environmental changes.

[0007] In one optional implementation, the step of obtaining bird biological characteristic information and line and environmental characteristic information around the overhead transmission line under test based on historical bird collision information around the line under test includes: Obtain historical information on bird strikes around the overhead transmission line under test; Determine whether the number of collisions in the historical bird collision route information is less than or equal to a first preset collision number range; If so, obtain information on the biological characteristics of birds around the overhead transmission line under test and information on the characteristics of the line and the environment; If not, determine whether the number of collisions of the historical bird collision information falls within the second or third preset collision number range, and determine the risk level of the overhead transmission line under test based on the determination result.

[0008] This invention classifies risk levels based on the number of historical collisions. It directly identifies high-risk scenarios for high-frequency collisions without complex calculations, thus improving assessment efficiency. For low- and medium-frequency collision scenarios, it accurately supplements the judgment through subsequent characteristic information and indicator analysis. This avoids misjudgments caused by limited historical data and enables differentiated assessments for scenarios with different collision frequencies, ensuring that risk level determination is both efficient and accurate.

[0009] In one optional implementation, the construction of multiple bird biological characteristic risk indicators for the bird biological characteristic information and multiple route and environmental characteristic risk indicators for the route and environmental characteristic information includes: Using the aforementioned bird biological characteristics information, risk indicators for bird species, bird protection level, bird population size, bird age, and bird health status were constructed. Using the aforementioned route and environmental characteristics information, risk indicators are constructed for the angle between the overhead line and the bird flight path, the overhead line and the direction of illumination, the environmental background color, the conductor and ground wire morphology, and the surrounding activity environment.

[0010] This invention constructs ten detailed risk indicators from two core dimensions: the characteristics of birds themselves and the route environment. These indicators comprehensively cover key influencing factors such as bird species, conservation status, route alignment, and lighting conditions, avoiding the limitations of single-dimensional assessments. The indicator system is highly targeted and comprehensive, accurately capturing the core causes of bird collisions.

[0011] In one optional implementation, the step of quantifying the risk indicators of each of the bird biological characteristics and each of the route and environmental characteristics, and inputting all the quantified risk indicators into a preset hierarchical analysis model, includes: Using preset quantification rules for bird biological characteristics, the risk indicators of the bird species, the risk indicators of the bird protection level, the risk indicators of the bird population size, the risk indicators of the bird age, and the risk indicators of the bird health status are scored and quantified respectively. Using preset quantification rules for the characteristics of the overhead line environment, the risk indicators of the angle between the overhead line and the bird flight path, the risk indicators of the overhead line and the direction of illumination, the risk indicators of the background color of the environment, the risk indicators of the conductor shape, and the risk indicators of the surrounding activity environment are scored and quantified respectively. Input all the quantified risk indicators into the preset hierarchical analysis model.

[0012] This invention standardizes the scoring of ten risk indicators through pre-defined quantitative rules, making the indicators quantifiable and comparable, thus avoiding biases in subjective assessments. The quantified indicators are then input into a hierarchical analysis model, providing a unified and standardized data foundation for subsequent weight calculations and risk assessments, ensuring the objectivity and scientific rigor of the assessment process.

[0013] In one optional implementation, the step of calculating the weights corresponding to each of the quantified risk indicators using the hierarchical analysis model, and determining the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights, includes: Based on the target layer, criterion layer and factor layer of the hierarchical analysis model, the importance of each of the quantified risk indicators is compared pairwise to obtain multiple scale values. Using all the aforementioned scaling values, construct an initial fuzzy judgment matrix; Perform a consistency check on the initial fuzzy judgment matrix and determine whether the check result meets the preset compatibility index requirements; If not, then proceed to the step of comparing the importance of each quantified risk indicator in pairs to obtain multiple scale values ​​based on the target layer, criterion layer and factor layer of the hierarchical analysis model. If so, the initial fuzzy judgment matrix is ​​determined as the target fuzzy judgment matrix; Based on the target fuzzy judgment matrix, the quantified risk indicators are sorted hierarchically by single-level sorting and overall-level sorting to obtain the weights corresponding to each quantified risk indicator. The comprehensive risk value is calculated using the quantified risk indicators and their corresponding weights. Based on the comprehensive risk value, the risk level of the overhead transmission line under test is determined.

[0014] This invention utilizes the hierarchical structure of an analytic hierarchy process (AHP) model, combined with pairwise comparisons and consistency checks, to scientifically determine the weights of each indicator, avoiding subjective bias in importance assessment. Through normalization and ranking calculations, the impact of each indicator on collision risk is precisely quantified. Finally, expert scoring yields a comprehensive risk value, achieving an objective determination of the risk level.

[0015] In an optional implementation, the method further includes: Based on the risk level of the overhead transmission line under test, generate risk alarm information; Based on the risk alarm information, implement corresponding protective measures.

[0016] This invention generates targeted alarm information based on risk levels, accurately triggering appropriate protective measures and achieving a closed-loop response of risk classification, alarm, and protection. Enhanced protection is prioritized for high-risk sections, while measures are streamlined as needed in low-risk sections, avoiding waste or omissions in protective resources. This approach not only responds quickly to high-risk hazards but also improves the accuracy and targeting of protective measures, effectively reducing the probability of bird strikes and balancing power transmission line safety with ecological protection.

[0017] Secondly, the present invention provides a risk assessment device for bird collisions with overhead transmission lines, the device comprising: The acquisition module is used to acquire information on the biological characteristics of birds and the characteristics of the line and environment around the overhead transmission line under test, based on historical information on birds accidentally colliding with the line. The construction module is used to construct multiple bird biological characteristic risk indicators of the bird biological characteristic information and multiple route and environmental characteristic risk indicators of the route and environmental characteristic information. The quantification module is used to quantify the risk indicators of the biological characteristics of each bird and the risk indicators of the characteristics of each route and environment, and input all the quantified risk indicators into the preset hierarchical analysis model. The risk module is used to calculate the weights corresponding to each of the quantified risk indicators through the hierarchical analysis model, and to determine the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights.

[0018] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the risk assessment method for bird collisions with overhead transmission lines described in the first aspect or any corresponding embodiment.

[0019] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the bird collision risk assessment method for overhead transmission lines described in the first aspect or any corresponding embodiment thereof.

[0020] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the risk assessment method for bird collisions with overhead transmission lines described in the first aspect or any corresponding embodiment. Attached Figure Description

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the first step in the risk assessment method for bird collisions with overhead transmission lines according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the second process of the risk assessment method for bird collisions with overhead transmission lines according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the process for risk assessment of bird collisions with overhead transmission lines according to an embodiment of the present invention; Figure 4 This is a first schematic diagram of the risk level of rare birds accidentally colliding with overhead transmission lines, calculated by the calculation software according to an embodiment of the present invention. Figure 5 This is a second schematic diagram of the risk level of rare birds accidentally colliding with overhead transmission lines, calculated by the calculation software according to an embodiment of the present invention. Figure 6 This is a structural block diagram of a bird collision risk assessment device for overhead power transmission lines according to an embodiment of the present invention; Figure 7 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0023] 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.

[0024] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0025] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0026] This invention provides a method for risk assessment of bird collisions with overhead transmission lines. By collecting information on bird biological characteristics and the characteristics of the transmission line and environment, a risk index is constructed. The risk level is then determined through weighted calculation using a quantitative and hierarchical analysis model. This method can accurately assess the risk of newly constructed lines without relying on historical collision data. Furthermore, it can dynamically adapt to changes in bird populations and habitats, promptly identifying newly added high-risk sections, thereby reducing the risk of line collisions caused by data gaps or dynamic environmental changes.

[0027] According to an embodiment of the present invention, a method for risk assessment of bird collisions with overhead transmission lines is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0028] This embodiment provides a method for risk assessment of bird collisions with overhead transmission lines. Figure 1 This is a flowchart of a risk assessment method for bird collisions with overhead transmission lines according to an embodiment of the present invention, such as... Figure 1 As shown, the process includes the following steps: Step S101: Based on historical bird collision information around the overhead transmission line to be tested, obtain information on the biological characteristics of birds and the characteristics of the line and environment around the overhead transmission line to be tested.

[0029] It should be noted that the overhead transmission lines to be tested refer to existing, planned, or newly constructed overhead transmission lines that require bird strike risk assessment in order to develop protective measures.

[0030] Historical bird collision information refers to data recorded within the past five years on the overhead transmission line under test and its surrounding area, including the specific time of the collision, the section of the line, the types of birds involved, the number of casualties, and the environmental conditions at the collision site.

[0031] Bird biological characteristics information refers to the data on the relevant attributes of birds active around the overhead transmission line to be tested, including bird species, protection level, population size, age structure and health status.

[0032] Line and environmental characteristics information refers to the data on the parameters of the overhead transmission line under test and the surrounding environment, including the line direction, conductor and ground wire shape, illumination direction, background color of the environment, and distribution of human activities or predators in the surrounding area.

[0033] In this embodiment of the invention, special attention should be paid to cases where birds have historically collided with railway lines. The corresponding historical statistical data (i.e., historical bird collision information) has important reference value for determining the risk level of operating lines or newly built lines nearby.

[0034] It is important to note that due to the vast and sparsely populated areas in some regions, statistical data on bird collisions may be incomplete. There may be instances where collisions occurred but were not recorded. In such cases, the risk level of bird collisions should be analyzed by considering the biological characteristics of birds surrounding the line, their importance level, and the characteristics of the overhead line, its geographical location, and the external environment. This approach applies to situations where no bird collision cases have been recorded, the existing line has a low voltage level and is low in height, or the new line is located in an area without existing lines nearby. Therefore, it is necessary to obtain information on the biological characteristics of birds surrounding the overhead transmission line under test, as well as information on the characteristics of the line and its environment, to facilitate the assessment of the risk of bird collisions.

[0035] Step S102: Construct multiple risk indicators of bird biological characteristics information and multiple risk indicators of route and environmental characteristics information.

[0036] It should be noted that the bird biological characteristic risk index (F) refers to a set of indicators constructed based on bird biological characteristic information, reflecting the impact of bird's own attributes on the risk of accidental collision.

[0037] The Line and Environmental Characteristics Risk Index (J) refers to a set of indicators constructed based on line and environmental characteristics information, reflecting the impact of the line's own parameters and the surrounding environment on the risk of accidental collisions.

[0038] In this embodiment of the invention, relevant data is extracted from bird biological characteristic information to construct bird biological characteristic risk indicators F, such as bird species risk indicator F1, bird protection level risk indicator F2, bird population size risk indicator F3, bird age risk indicator F4, and bird health status risk indicator F5.

[0039] Relevant data are extracted from information on the characteristics of the overhead line and the environment to construct risk indicators J for the characteristics of the overhead line and the environment, such as the risk index J1 for the angle between the overhead line and the bird flight path, the risk index J2 for the overhead line and the direction of illumination, the risk index J3 for the background color of the environment, the risk index J4 for the shape of the conductor and ground wire, and the risk index J5 for the surrounding activity environment.

[0040] Step S103: Quantify the risk indicators of each bird's biological characteristics and the risk indicators of each route and environment, and input all the quantified risk indicators into the preset hierarchical analysis model.

[0041] It should be noted that the quantified risk indicators refer to risk indicators that have undergone standardized quantification to obtain specific numerical values.

[0042] The pre-built hierarchical analysis model refers to a three-level analysis model that is pre-constructed and includes a target layer (risk assessment value of bird collision), a criterion layer (probability of collision and degree of impact of collision consequences), and a factor layer (all risk indicators).

[0043] In this embodiment of the invention, according to preset standardized quantification rules, and combined with the actual scene of the route and the characteristics of bird activity, the risk indicators of various bird biological characteristics, such as bird species risk indicator F1 and bird protection level risk indicator F2, as well as the risk indicators of various routes and environmental characteristics, such as the risk indicator J1 of the angle between the overhead line and the bird flight path and the risk indicator J3 of the environmental background color, are scored and quantified on a scale of 0-100 to ensure that the risk level of each indicator is quantifiable and comparable. Then, all the quantified risk indicators are organized into a standardized dataset according to a preset format and input into a pre-constructed hierarchical analysis model.

[0044] It is worth noting that the risk of injury or death from bird strikes on overhead transmission lines is the result of a combination of factors, including the biological characteristics of the birds, the type of transmission conductors and ground wires, the surrounding geography, weather conditions, and the importance of the birds. To better coordinate the characteristics of each indicator, the risk factors for bird strikes on overhead transmission lines are summarized into three aspects: risk indicators based on the biological characteristics of the birds around the line, risk indicators based on the importance level, and risk indicators based on the characteristics of the overhead line, geography, and external environment. Specific sub-indicator values ​​are provided here, with approximate scores. Experts can adjust these scores based on their analysis.

[0045] Step S104: Calculate the weights of each quantified risk indicator using the hierarchical analysis model, and determine the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights.

[0046] It should be noted that the risk level refers to the classification of the degree of line collision risk determined based on the comprehensive risk value and historical collision data.

[0047] In this embodiment of the invention, the hierarchical structure of the target layer, criterion layer and factor layer of the hierarchical analysis model is used to compare the importance of each quantified risk indicator pairwise and perform a consistency test. If the test result meets the preset compatibility index requirements, the risk index of bird collision with overhead transmission lines is directly calculated by the expert scoring results after the quantified risk indicators and their corresponding weights are sorted and calculated. The risk level is evaluated by comparing the values ​​of different risk indicators.

[0048] This embodiment provides a method for risk assessment of bird collisions with overhead transmission lines. Figure 2 This is a flowchart of a risk assessment method for bird collisions with overhead transmission lines according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Based on historical bird collision information around the overhead transmission line to be tested, obtain information on the biological characteristics of birds around the overhead transmission line to be tested and information on the characteristics of the line and environment.

[0049] Specifically, step S201 includes: Step S2011: Obtain historical information on bird collisions with the overhead transmission line under test.

[0050] In this embodiment of the invention, information on historical bird collisions around the overhead transmission line to be tested is obtained by integrating information from various channels, such as line fault records from power operation and maintenance departments, bird activity survey data from ecological monitoring agencies, and eyewitness records from surrounding residents collected through on-site visits. Furthermore, relevant information such as the specific time of the collision, the line section, the bird species involved, the age of the birds, the number of casualties, and the collision site environment are extracted from the historical bird collision information.

[0051] Step S2012: Determine whether the number of collisions in the historical bird collision information is less than or equal to the first preset collision number range.

[0052] It should be noted that the number of accidental collisions refers to the total number of times birds collided with the overhead transmission line under test and within a certain range in the historical information on birds' accidental collisions with the line.

[0053] The first preset collision frequency range refers to the range of low-frequency collision frequencies predefined based on transmission line operation and maintenance experience, past bird collision risk cases, and relevant industry standards, such as the annual collision frequency in the past five years ∈ [2,1].

[0054] In this embodiment of the invention, it is determined whether the number of collisions per year in the past five years in the historical bird collision route information is less than or equal to a first preset collision number interval, such as the interval [2,1].

[0055] Step S2013: If yes, then obtain information on the biological characteristics of birds around the overhead transmission line to be tested and information on the characteristics of the line and the environment.

[0056] In this embodiment of the invention, if the number of bird collisions per year in the past five years is less than or equal to a first preset collision number range in the historical bird collision information, it is necessary to further obtain information on the biological characteristics of birds around the overhead transmission line to be tested and information on the characteristics of the line and the environment, in order to assess the risk of bird collisions with the line.

[0057] It is worth mentioning that if there have been no accidental collisions in the past five years, it is further determined whether there are rare birds around the overhead transmission line under test. If there are no rare birds, the risk level of rare birds accidentally colliding with the overhead transmission line is level 0.

[0058] If rare bird species are present, further information on the biological characteristics of birds around the overhead transmission line under test, as well as information on the characteristics of the line and the environment, is needed to assess the risk of birds accidentally colliding with the line.

[0059] Specifically, such as Figure 3 As shown, risks are categorized into four levels, with Level III being the most severe. Birds with more than five stray collisions in the past five years are directly classified as Level III. For bird collisions between three and five, a FAHP risk assessment is required. This is to account for situations where bird carcasses are taken away or eaten by animals, resulting in a lower risk level. FAHP risk assessment results exceeding Level II are downgraded to Level III; all other cases are classified as Level II. For bird collisions of one or two birds in the past five years, the risk may be due to individual bird behavior, making a direct risk assessment impossible. A FAHP risk assessment is necessary to determine the risk level. For cases with no stray collisions in the past five years, it is necessary to analyze whether there is activity of rare birds in the surrounding area. No bird activity results in a Level 0 risk assessment. For cases with rare bird activity, a FAHP risk assessment is required.

[0060] Step S2014: If not, determine whether the number of collisions in the historical bird collision information is within the second preset collision number range or the third preset collision number range, and determine the risk level of the overhead transmission line to be tested based on the judgment result.

[0061] It should be noted that the second preset collision frequency range refers to the range of the second highest frequency collision frequency predefined based on transmission line operation and maintenance experience, past bird collision risk cases and relevant industry standards, such as the annual collision frequency in the past five years ∈ [5,3].

[0062] The third preset range of the number of collisions refers to the number of collisions pre-defined based on transmission line operation and maintenance experience, past bird collision risk cases, and relevant industry standards. Here, it is set to a range greater than 5.

[0063] In this embodiment of the invention, if the number of annual collisions in the past five years in the historical bird collision route information is not less than 5 and is not within the first preset collision number range, it is determined whether the number of annual collisions in the past five years is within the range of [5,3].

[0064] If the number of accidental collisions per year in the past five years falls within the range of [5,3], then the risk level of the overhead transmission line under test is determined to be Level II.

[0065] If the number of collisions per year in the past five years is not in the range of [5,3], then further determine whether the number of collisions per year in the past five years is greater than the range of 5.

[0066] If the number of accidental collisions per year is greater than 5 in the past five years, the risk level of the overhead transmission line under test is determined to be Level III.

[0067] Step S202: Construct multiple risk indicators of bird biological characteristics information and multiple risk indicators of route and environmental characteristics information.

[0068] In some optional implementations, step S202 above includes: Step S2021: Using bird biological characteristic information, construct bird species risk indicators, bird protection level risk indicators, bird population size risk indicators, bird age risk indicators, and bird health status risk indicators.

[0069] It should be noted that the bird species risk index (F1) refers to a risk index constructed based on bird species type data in bird biological characteristic information.

[0070] The Bird Conservation Level Risk Index (F2) refers to a risk index constructed based on conservation level data in bird biological characteristic information.

[0071] The Bird Population Risk Index (F3) refers to a risk index constructed based on population size data in bird biological characteristics information.

[0072] The F4 (F4) risk index for birds refers to a risk index constructed based on age composition data in bird biological characteristics information.

[0073] The F5 (Five-Five) risk index for bird health status refers to a risk index constructed based on health status data from bird biological characteristics information.

[0074] In this embodiment of the invention, the risk of accidental collision is determined based on the biological characteristics of birds around the line, and the index value is determined by combining historical cases of bird collisions with overhead transmission lines.

[0075] Using core data from bird biological characteristics information, such as bird species type, protection level, population size, age composition and health status, we constructed bird species risk indicators (F1), bird protection level risk indicators (F2), bird population size risk indicators (F3), bird age risk indicators (F4) and bird health status risk indicators (F5). Each indicator accurately corresponds to the key biological characteristics factors that affect birds' accidental collision routes.

[0076] Step S2022: Using information on the characteristics of the line and the environment, construct risk indicators for the angle between the overhead line and the bird flight path, the risk indicators for the overhead line and the direction of illumination, the risk indicators for the background color of the environment, the risk indicators for the shape of the conductor and ground wire, and the risk indicators for the surrounding activity environment.

[0077] It should be noted that the risk index (J1) of the angle between the overhead line alignment and bird flight path refers to a risk index constructed based on data on the alignment of the line and the conventional flight path of birds.

[0078] The risk index for overhead lines and illumination direction (J2) refers to a risk index constructed based on line parameters and illumination direction data.

[0079] The environmental background color risk index (J3) refers to a risk index constructed based on the background color data of the surrounding environment of the line.

[0080] The conductor and ground wire morphology risk index (J4) refers to a risk index constructed based on data such as the structure, quantity, and arrangement of conductors and ground wires in a line.

[0081] The surrounding activity environment risk index (J5) refers to a risk index constructed based on data such as the intensity of human activities and the distribution of predators around the route.

[0082] In this embodiment of the invention, core data such as route orientation, bird flight path, illumination direction, background color of the surrounding environment, arrangement of conductor and ground wire structure, and distribution of human activities and predators in the surrounding area are extracted from the route and environmental characteristics information. Correspondingly, risk indicators such as the angle between the overhead line orientation and bird flight path, the risk indicators between the overhead line and illumination direction, the risk indicators of environmental background color, the risk indicators of conductor and ground wire morphology, and the risk indicators of the surrounding activity environment are constructed. Each indicator accurately covers the key environmental and route factors that affect birds' identification of routes and flight status.

[0083] Step S203: Quantify the risk indicators of each bird's biological characteristics and the risk indicators of each route and environment, and input all the quantified risk indicators into the preset hierarchical analysis model.

[0084] Specifically, step S203 includes: Step S2031: Using preset rules for quantifying bird biological characteristics, scores are quantified for bird species risk indicators, bird protection level risk indicators, bird population size risk indicators, bird age risk indicators, and bird health status risk indicators.

[0085] It should be noted that the pre-defined quantitative rules for bird biological characteristics refer to a unified scoring standard that is pre-established based on a large number of cases of birds accidentally colliding with power lines, research on bird biological characteristics, and experience in the operation and maintenance of power transmission lines.

[0086] In this embodiment of the invention, 1) Bird species risk index F1: Generally, larger wading birds, waterfowl, or ground birds have relatively weaker flight abilities. These birds are typical endurance birds with relatively low agility. In contrast, some birds of prey, even if they are large, are less likely to collide with the flight path due to their agile flight capabilities.

[0087] For example, large birds such as the black-necked crane, white crane, great bustard, and white-naped crane are considered high-risk species, with an F1 value of 95; medium-sized bar-headed geese are considered medium-risk, with an F1 value of 60; and small, highly agile birds such as swallows and pigeons are considered low-risk, with an F1 value of 30. For other bird species, the F1 value should be determined by considering both size and flight agility. If no birds are deemed likely to collide with the bird in the vicinity, or if there is no bird activity in the vicinity, F1 = 0. In cases where multiple bird species are present, the value for the bird with the highest risk should be used.

[0088] 2) Bird Conservation Level Risk Indicator F2: For endangered birds, F2=95; for near-threatened birds, F2=80; for vulnerable birds, F2=60; for near-threatened birds, F2=40; and for birds of least concern, F2=15.

[0089] It should be noted that critically endangered birds may face extinction if not properly protected. Therefore, the risk index for their protection level should be further increased, such as taking F2=100.

[0090] 3) Bird population risk indicator F3: The population size around the power line also reflects the risk situation. For example, although the black-necked crane is a near-threatened bird, the population size risk index F3 should be used to control the risk of overhead power lines near densely populated areas. If the population size in the vicinity exceeds 1,000 birds, the risk of accidental collisions increases significantly, and the casualties of a large number of black-necked cranes due to accidental collisions are unacceptable. Therefore, F3 is set at 90. For line sections with a small population (e.g., no more than 10 birds), F3 can be set at 40. For line sections with a population of 10-100 birds, F3 is set at 60. For line sections with a population of 100-1000 birds, F3 is set at 80.

[0091] 4) Bird Age Risk Indicator F4: According to statistics on black-necked cranes colliding with flight paths, juveniles are more prone to such incidents. In breeding grounds, young birds that are just beginning to learn to fly are not yet proficient in their flying skills and are at high risk of colliding with flight paths. In wintering grounds, one-year-old sub-adults have average flying abilities and are prone to colliding with flight paths. Older black-necked cranes are also prone to colliding with flight paths due to physical weakness and other reasons.

[0092] Based on this, the collision risk factor F4 is determined according to the age of the bird. For juvenile birds in the flight training stage, F4=90; for sub-adult birds of one year old, F4=80; for older black-necked cranes, the collision risk factor F4 is determined in combination with their health status, and here it is taken as 30, consistent with other adult birds.

[0093] Generally, the age distribution of birds in the flocks of birds active around the route is used to determine the age distribution. The strictest determination method is used. For example, if there are young birds active near a certain route location, F4 is directly set to 90.

[0094] 5) Bird health status risk index F5: The health status of birds reflects the degree of risk of accidental collisions. For birds with common avian diseases such as avian influenza, infectious laryngotracheitis, infectious bronchitis, infectious coryza, infectious septicemic mycoplasmosis, aspergillosis, and fractures, F5=95. The age of wild animals can also reflect a certain degree of health status. For older birds, such as black-necked cranes, F5=40 at 8 years old; F5=50 at 9 years old; F5=60 at 10 years old; F5=70 at 11 years old; F5=80 at 12 years old; F5=90 at 13 years old; and F5=90 at 14 years old and above. However, for black-necked cranes in their prime (2-7 years old), F5=30.

[0095] Generally, the health status of the flocks of birds active around the route is used to determine the age, and the most stringent determination method is used. For example, if there are birds with avian influenza near a certain route location, F5 is directly set to 95; if there is a black-necked crane flock with a bird that is 9 years old, F5 is directly set to 50.

[0096] Step S2032: Using preset line environment characteristic quantification rules, scores and quantify the risk indicators of the angle between the overhead line direction and the bird flight path, the risk indicators of the overhead line and the direction of illumination, the risk indicators of the environmental background color, the risk indicators of the conductor and ground wire shape, and the risk indicators of the surrounding activity environment.

[0097] It should be noted that the preset quantitative rules for line environmental characteristics refer to a unified scoring standard that is pre-established based on a large number of transmission line laying cases, research on bird visual recognition characteristics, and practical experience in power operation and maintenance.

[0098] Scoring and quantification refers to the process of converting qualitatively described risk indicators of line environment characteristics into specific numerical values ​​according to preset quantitative rules for line environment characteristics.

[0099] In this embodiment of the invention, 1) Risk index J1: the angle between the overhead line alignment and the bird flight path. Based on on-site observations, bird collisions with overhead power lines mostly occur during the early morning foraging and late evening return times, obstructing the birds' travel paths between their roosting and foraging sites. The highest risk is associated with overhead lines whose orientation is perpendicular (or nearly perpendicular, approximately 80-90 degrees) to the line connecting the roosting and foraging sites, where J1=95 is used. Conversely, lines whose orientation is parallel to or at a smaller angle (0-40 degrees) to the line connecting the roosting and foraging sites have a much lower risk, where J1=50 is used, considering birds' circling behavior in flight. When the angle between the line and the line connecting the roosting and foraging sites is larger (40-80 degrees), J1=80 is used.

[0100] 2) Risk index J2 for overhead lines and direction of sunlight: In low-latitude regions, the sun's altitude is low in the morning and evening. From a bird's perspective, the sun's position overlaps with the overhead power line, making it impossible to identify the line's location when flying against the light. In this case, a north-south oriented line carries the highest risk (J2=90). Other orientations in low-latitude regions have a lower risk (J2=30). In high-latitude regions, the sun's altitude is relatively low, and J2=70 for all orientations.

[0101] 3) Environmental background color risk index J3: When there are high mountains in the surrounding environment, from a bird's perspective, the overhead power line will blend into the background color, making it difficult to identify the location of the overhead power line and greatly increasing the risk of birds accidentally colliding with the overhead power transmission line. J3=90 is taken; while when there are no high mountains in the surrounding environment, the risk is relatively low. J3=80 is taken.

[0102] It should be noted that the degree to which the ambient color blends with the line varies under different weather conditions. For example, in rainy weather, the overhead line will be the same color as the background clouds. Therefore, the risk factor J3 should not be significantly increased or decreased due to the presence or absence of a background (such as mountains). The risk value of the ambient background color is uniformly set to relatively high here.

[0103] 4) Conductor / Ground Wire Morphology Risk Indicator J4: The shape of the conductor and ground wire also affects the risk of bird strikes. Multi-branched conductors are more conspicuous and less likely to cause accidental collisions, while thinner, single ground wires are less visible and more prone to collisions. Furthermore, given that birds generally fly overhead to avoid obstacles, the probability of striking the uppermost conductor and ground wire is highest. Considering all factors, a single ground wire poses the highest risk, so J4=90; a double ground wire poses the next highest risk, so J4=85; a single conductor arranged in an "U" shape represents a lower voltage level and shorter altitude, resulting in a lower risk, so J4=50; and in other cases, J4=20.

[0104] 5) Surrounding activity environment risk indicator J5: Due to the randomness of human activities, sudden human actions can cause birds to take flight. Additionally, when there are predators around the route, their hunting behavior can also cause birds to take flight. When startled, birds' ability to avoid danger decreases. Therefore, in areas with more human activity or predators, such as roads and villages, J5 is larger, so we take J5=90; while in areas with relatively few people and predators, J5=35.

[0105] Step S2033: Input all the quantified risk indicators into the preset hierarchical analysis model.

[0106] In this embodiment of the invention, after scoring and quantifying all bird biological characteristic risk indicators and route and environmental characteristic risk indicators, all quantified risk indicators are first organized into a standardized dataset according to a preset data format to ensure that the data format matches the input requirements of the preset hierarchical analysis model, and then the standardized dataset is input into the preset hierarchical analysis model.

[0107] Specifically, the Analytic Hierarchy Process (AHP) calculates the relative weights of factors by constructing a hierarchical structure model (i.e., the analytic hierarchy process model) and comparing factors in pairs. Fuzzy AHP decomposes the problem into multi-level indicators, establishes an evaluation indicator set according to the membership and priority relationships between levels, establishes a weight set based on indicator weights, establishes a comment set based on the evaluation result levels, establishes a fuzzy consistency matrix based on the fuzzy subsets of the membership degrees of the indicators to each comment, and finally performs a comprehensive evaluation.

[0108] Fuzzy hierarchical analysis is a natural derivative of hierarchical analysis under fuzzy conditions. Its core idea is to use triangular fuzzy numbers to generate a judgment matrix, thereby obtaining a relatively objective fuzzy set composed of judgment results. Through a more objective analysis process, the results are made to better reflect the actual thinking process.

[0109] Fuzzy hierarchical analysis can organically combine quantitative analysis and qualitative judgment, hierarchically and quantitatively transform complex and abstract system indicators, and accurately evaluate and judge fuzzy and uncertain problems, making the evaluation results more reasonable and more in line with objective reality, thereby improving the accuracy of fuzzy comprehensive evaluation results.

[0110] Step S204: Calculate the weights of each quantified risk indicator using the hierarchical analysis model, and determine the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights.

[0111] In some optional implementations, step S204 above includes: Step S2041: Based on the target layer, criterion layer and factor layer of the hierarchical analysis model, the importance of each quantified risk indicator is compared pairwise to obtain multiple scale values.

[0112] It should be noted that the target layer refers to the top core of the hierarchical analysis model, which corresponds to the risk assessment value of birds colliding with overhead transmission lines in this invention.

[0113] The criteria layer refers to the intermediate layer of the hierarchical analysis model, which is used to connect the target layer and the factor layer. It corresponds to the two evaluation dimensions of the probability of collision and the degree of impact of the consequences of collision in this invention.

[0114] The factor layer refers to the lowest level of the hierarchical analysis model, which includes all quantified risk indicators of bird biological characteristics and risk indicators of route and environmental characteristics.

[0115] Pairwise comparison refers to the method of evaluating the relative importance of two indicators at the factor level under the same criterion level.

[0116] A scale value refers to a numerical value that quantifies the relative importance of indicators using a nine-scale method from 0 to 10.9.

[0117] In this embodiment of the invention, based on the risk factor analysis results of bird strikes on overhead transmission lines, a risk factor hierarchical analysis model is constructed. The identified risk indicators are divided into several groups. Then, according to the rules for establishing a hierarchical analysis model, the constructed model typically adopts a three-layer structure: the bottom layer is the factor layer composed of specific risk factors, containing all risk indicators to be evaluated; the middle layer is the criterion layer, used to classify and govern the lower-level risk factors, while providing evaluation basis for the upper layers; the top layer is the single target layer, which outputs the risk assessment results. Through this hierarchical division, the relative importance of risk factors and their interrelationships are systematically analyzed.

[0118] A hierarchical analysis model was established to identify risk factors related to bird strikes on overhead power lines. 1) Target layer (O): Bird collision risk assessment value.

[0119] 2) Criterion layer (R): The probability of birds accidentally colliding with the route and the degree of impact of the consequences of such collisions are used as the judgment criteria.

[0120] 3) Factor layer (F): Risk factors for birds accidentally colliding with routes, including biological causes, geographical causes and weather causes.

[0121] Based on the hierarchical analysis model architecture, the hierarchical relationships between upper and lower levels are determined, the importance of different factors is compared, and a fuzzy judgment matrix for each level of elements is constructed. The 0.1-0.9 nine-scale method in Table 1 is used to establish the quantitative scale between factors; the specific scores can be adjusted and refined according to specific circumstances. Table 1 is as follows: Table 1. Nine-Scale Quantitative Scale

[0122] Based on the table above, risk indicator factors , ,..., By comparing each other pairwise, multiple scale values ​​are obtained, which can be used... or express.

[0123] Step S2042: Construct an initial fuzzy judgment matrix using all scale values.

[0124] It should be noted that the initial fuzzy judgment matrix refers to a square matrix constructed based on the scale values ​​obtained by comparing each pair of indicators.

[0125] In this embodiment of the invention, after obtaining multiple scale values ​​by pairwise comparison of indicator importance, according to the preset sorting of each quantified risk indicator in the factor layer, all scale values ​​are filled into the intersection of the rows and columns of the matrix. An initial fuzzy judgment matrix is ​​constructed using all scale values. Specifically, the initial fuzzy judgment matrix is ​​as follows:

[0126] in, , A The matrix is ​​the initial fuzzy judgment matrix.

[0127] Step S2043: Perform a consistency check on the initial fuzzy judgment matrix and determine whether the check result meets the preset compatibility index requirements.

[0128] It should be noted that consistency testing refers to the process of verifying the logical rationality of the initial fuzzy judgment matrix.

[0129] The compatibility index requirement refers to the index used to quantitatively characterize the degree of logical consistency of the initial fuzzy judgment matrix.

[0130] In this embodiment of the invention, the summation of each row of matrix A is performed. ( i (e.g., 1, 2, ..., n), perform mathematical transformations. The fuzzy consistency matrix can be obtained. For the matrix R Perform row and normalization processing to obtain the factor permutation vector. ,in, ( i =1,2,...,n).

[0131] When verifying the consistency of a fuzzy judgment matrix, the chosen verification criterion is the compatibility index between the fuzzy judgment matrix and its characteristic matrix.

[0132] The compatibility index is:

[0133] in, Fuzzy judgment matrix A and W The compatibility index.

[0134] Step S2044: If not, proceed to the target layer, criterion layer, and factor layer based on the hierarchical analysis model, and compare the importance of each quantified risk indicator pairwise to obtain multiple scale values.

[0135] In this embodiment of the invention, if the test result does not meet the preset compatibility index requirements, it indicates that there is a logical contradiction in the initial fuzzy judgment matrix, and then the process jumps to step S2041.

[0136] Step S2045: If yes, then the initial fuzzy judgment matrix is ​​determined as the target fuzzy judgment matrix.

[0137] It should be noted that the target fuzzy judgment matrix refers to the fuzzy judgment matrix that has passed the consistency test and logical self-consistency.

[0138] In this embodiment of the invention, if the consistency test result of the initial fuzzy judgment matrix meets the preset compatibility index requirements, it indicates that the matrix is ​​logically consistent. At this time, the initial fuzzy judgment matrix is ​​determined as the target fuzzy judgment matrix. Then, the target fuzzy judgment matrix is ​​processed according to the row sum normalization rule. Specifically, the sum of all elements in each row of the matrix is ​​calculated, and then each element in each row is divided by the sum of the row, so that the sum of the elements in each row after processing is 1. The normalization operation is completed to obtain a standardized matrix that can be used for subsequent weight calculation.

[0139] When compatibility index ( (If the decision-maker's attitude is considered, then the judgment matrix is ​​considered to satisfy consistency, indicating the decision-maker's attitude.) The smaller the value, the higher the requirement for consensus among decision-makers. Therefore, the judgment matrix needs to be tested. A Consistency only requires letting That's fine, generally take .

[0140] In application, when there are many risk factors at a certain level, the fuzzy judgment matrix may be inconsistent, requiring experts to provide new judgment information (i.e., jump to execution step S2041) until the fuzzy complementary judgment matrix satisfies consistency.

[0141] Step S2046: Based on the target fuzzy judgment matrix, perform hierarchical single sorting and hierarchical overall sorting on each quantified risk indicator to obtain the weight corresponding to each quantified risk indicator.

[0142] It should be noted that hierarchical single ranking refers to the process in the hierarchical analysis model of calculating the relative importance ranking and weight of an element at a certain level relative to its corresponding element at the next higher level based on the target fuzzy judgment matrix.

[0143] Hierarchical overall ranking refers to the process of calculating the overall importance ranking and weight of the current level elements relative to the target level, based on the hierarchical single ranking and the weight of the elements in the previous level relative to the top target level.

[0144] In this embodiment of the invention, 1) hierarchical single sorting: According to the sorting vector Analyze the relative weights of elements in the corresponding layer relative to related elements in the previous layer.

[0145] 2) Overall hierarchical sorting: The overall risk factor hierarchy ranking calculates the relative importance of all elements relative to the target layer and assigns them weights, proceeding from the highest layer down to the lowest. Upper layer A Relative to the lower layer B The total weight vector can be calculated by the following formula: (j=1,2,...,m) In the formula, the upper level A includes n Individual risk indicator factors , ,…, Their respective weights at this level are as follows: , ,..., The next level B Include m One factor , ,…, The importance weights of these factors for single-level ranking in layer A are as follows: , ,…, It should be noted that in actual engineering projects, and When there is no contact, then .

[0146] The fuzzy hierarchical analysis method uses the above approach to analyze each level separately until the ranking of the target level is obtained, thus achieving the ranking of the weights of all risk factors.

[0147] It is worth noting that, due to the varying risk characteristics of bird collisions with power lines in different locations, it is necessary to first rank the weights of each indicator. Then, for specific regions and bird species, fuzzy hierarchical analysis (AHP) is applied to analyze the importance of risk factors related to bird collisions with overhead power lines. The importance of the indicators for a particular region is evaluated, and the scores are shown in Table 2 below. Table 2. Importance Assessment of Indicators in a Certain Region

[0148] The weights of each risk factor indicator were obtained by applying the FAHP method. ( i =1……9), W = (0.1141, 0.1149, 0.1110, 0.1069, 0.1117, 0.0985, 0.1188, 0.1078, 0.1164, 0.1098). The corresponding weights, sorted from highest to lowest, are: J2, J4, F2, F1, F5, F3, J5, J3, F4, J1. It can be determined that the overhead power line and the direction of sunlight at this location, surrounding environmental activities, and the age of the birds are the factors with the greatest risk.

[0149] It is important to note that other factors are also important, but these three factors have the greatest impact in this region. These factors should be considered when selecting protective measures.

[0150] Step S2047: Calculate the comprehensive risk value using each quantified risk indicator and its corresponding weight.

[0151] It should be noted that the comprehensive risk value refers to the combined risk value of various risk indicators for birds accidentally colliding with overhead power transmission lines, calculated based on expert scoring results.

[0152] In this embodiment of the invention, after calculating the risk factors, the comprehensive risk value of each risk indicator of bird collision with overhead transmission lines is directly calculated based on the expert scoring results.

[0153] Specifically, a risk level analysis and evaluation of bird strikes on overhead transmission lines in a certain area was conducted. Nine experts were selected to score the data, and the resulting score matrix is ​​shown in Table 3 below: Table 3. Risk Indicators for Bird Collisions with Overhead Transmission Lines

[0154] Step S2048: Determine the risk level of the overhead transmission line to be tested based on the comprehensive risk value.

[0155] In this embodiment of the invention, different comprehensive risk values ​​are compared to evaluate the risk level.

[0156]

[0157] In the formula, It is the experts' opinions on the first j Expectations for each risk indicator For the first j The weight of each risk indicator.

[0158] Specifically, such as Figure 4 and Figure 5 As shown, a set of software for calculating the risk level of bird collisions with overhead transmission lines was developed, and the above algorithm was implemented. It can automatically calculate the risk level of bird collisions with specific lines.

[0159] Step S205: Generate risk alarm information according to the risk level of the overhead transmission line to be tested.

[0160] It should be noted that risk alarm information refers to information carriers generated based on risk levels, used to inform power operation and maintenance personnel of the risk of birds accidentally colliding with power lines.

[0161] In this embodiment of the invention, after determining the risk level of the overhead transmission line to be tested, risk alarm information is generated according to the preset alarm rules corresponding to the risk level. This information includes key information such as the line name, specific section, risk level, core risk indicators, and potential impact. Different risk levels correspond to different alarm levels (e.g., high risk corresponds to emergency alarm, medium risk corresponds to warning reminder, and low risk corresponds to routine notification).

[0162] Step S206: Implement corresponding protective measures based on the risk alarm information.

[0163] It should be noted that protective measures refer to various intervention methods taken to reduce the probability of bird collisions with overhead transmission lines under test, reduce line faults and ecological losses, and are classified into enhanced, conventional and basic types according to the intensity of protection.

[0164] In this embodiment of the invention, the risk level, specific section, and core risk indicators of the overhead transmission line to be tested are clearly identified according to the risk alarm information. The corresponding protective measures are then implemented in accordance with the preset risk level and protective measure matching rules. For high-risk levels, enhanced protective measures are deployed (such as adding bird spikes, bird baffles, and intelligent monitoring equipment). For medium-risk levels, conventional protective measures are adopted (such as regularly cleaning bird nests around the line and increasing the frequency of inspections). For low-risk levels, basic protection and routine monitoring are implemented.

[0165] This embodiment also provides a risk assessment device for bird collisions with overhead transmission lines. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0166] This embodiment provides a risk assessment device for birds accidentally colliding with overhead power transmission lines, such as... Figure 6 As shown, it includes: The acquisition module 301 is used to acquire information on the biological characteristics of birds and the characteristics of the line and environment around the overhead transmission line under test, based on historical information on birds accidentally colliding with the line. Module 302 is used to construct multiple risk indicators of bird biological characteristics information and multiple risk indicators of route and environmental characteristics information. The quantification module 303 is used to quantify the risk indicators of various bird biological characteristics and the risk indicators of various routes and environmental characteristics, and input all the quantified risk indicators into the preset hierarchical analysis model. Risk module 304 is used to calculate the weights of each quantified risk indicator through the hierarchical analysis model, and to determine the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights.

[0167] In some optional implementations, the acquisition module 301 includes: The first acquisition unit is used to acquire historical information on bird collisions with the overhead transmission line under test. The first judgment unit is used to determine whether the number of collisions in the historical bird collision route information is less than or equal to the first preset collision number range. The second acquisition unit is used to acquire, if yes, information on the biological characteristics of birds around the overhead transmission line under test and information on the characteristics of the line and the environment. The second judgment unit is used to determine whether the number of collisions of historical bird collisions with the line falls within the second preset number of collisions range or the third preset number of collisions range if no, and to determine the risk level of the overhead transmission line to be tested based on the judgment result.

[0168] In some alternative implementations, the construction module 302 includes: The first building unit is used to construct bird species risk indicators, bird protection level risk indicators, bird population size risk indicators, bird age risk indicators, and bird health status risk indicators using information on bird biological characteristics. The second building unit is used to construct risk indicators for the angle between the overhead line direction and the bird flight path, the risk indicators for the overhead line and the direction of illumination, the risk indicators for the background color of the environment, the risk indicators for the conductor and ground wire morphology, and the risk indicators for the surrounding activity environment by using information on the characteristics of the line and the environment.

[0169] In some alternative implementations, the quantization module 303 includes: The scoring unit is used to score and quantify the risk indicators of bird species, bird protection level, bird population size, bird age, and bird health status using preset quantitative rules for bird biological characteristics. The quantification unit is used to score and quantify the risk indicators of the angle between the overhead line and the bird flight path, the risk indicators of the overhead line and the direction of illumination, the risk indicators of the background color of the environment, the risk indicators of the conductor and ground wire shape, and the risk indicators of the surrounding activity environment, respectively, using preset line environment characteristic quantification rules. The input unit is used to input all the quantified risk indicators into the preset hierarchical analysis model.

[0170] In some alternative implementations, risk module 304 includes: The comparison unit is used to compare the importance of each quantified risk indicator in pairs based on the target layer, criterion layer and factor layer of the hierarchical analysis model, and obtain multiple scale values. Construct matrix units to build an initial fuzzy judgment matrix using all scale values; The third judgment unit is used to perform consistency checks on the initial fuzzy judgment matrix and determine whether the test results meet the preset compatibility index requirements. The jump unit is used to jump to the target layer, criterion layer and factor layer based on the hierarchical analysis model if no, and compare the importance of each quantified risk indicator pairwise to obtain multiple scale values. The target matrix element is used to determine the initial fuzzy judgment matrix as the target fuzzy judgment matrix if the condition is met. The sorting unit is used to perform hierarchical single sorting and hierarchical overall sorting of each quantified risk indicator based on the target fuzzy judgment matrix, so as to obtain the weight corresponding to each quantified risk indicator. The calculation unit is used to calculate the comprehensive risk value using each quantified risk indicator and its corresponding weight. Risk unit is used to determine the risk level of the overhead transmission line under test based on the comprehensive risk value.

[0171] In some alternative embodiments, the device further includes: The alarm unit is used to generate risk alarm information according to the risk level of the overhead transmission line under test; The execution unit is used to implement corresponding protective measures based on risk alarm information.

[0172] The bird collision risk assessment device provided in this embodiment of the invention can execute the bird collision risk assessment method for overhead transmission lines provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the above modules and units are the same as in the corresponding embodiments described above, and will not be repeated here.

[0173] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0174] The following is a detailed reference. Figure 7This diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 401, which can perform various appropriate actions and processes based on a program stored in read-only memory (ROM) 402 or a program loaded from memory 408 into random access memory (RAM) 403. RAM 403 also stores various programs and data required for the operation of the electronic device. The processor 401, ROM 402, and RAM 403 are interconnected via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0175] Typically, the following devices can be connected to I / O interface 405: input devices 406 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 407 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 408 including, for example, magnetic tapes, hard disks, etc.; and communication devices 409. Communication device 409 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 7 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0176] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 409, or installed from a memory 408, or installed from a ROM 402. When the computer program is executed by the processor 401, it performs the functions defined in the bird collision risk assessment method for overhead transmission lines according to embodiments of the present invention.

[0177] Figure 7 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0178] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the risk assessment method for bird collisions with overhead transmission lines shown in the above embodiments is implemented.

[0179] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0180] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for risk assessment of bird collisions with overhead transmission lines, characterized in that, The method includes: Based on historical bird collision information around the overhead transmission line under test, obtain information on the biological characteristics of birds around the overhead transmission line under test, as well as information on the characteristics of the line and the environment. Construct multiple risk indicators for bird biological characteristics and multiple risk indicators for route and environmental characteristics based on the bird biological characteristic information; The risk indicators of the biological characteristics of each bird and the risk indicators of the route and environment are quantified, and all quantified risk indicators are input into a preset hierarchical analysis model. The weights corresponding to each quantified risk indicator are calculated using the hierarchical analysis model, and the risk level of the overhead transmission line under test is determined based on the quantified risk indicators and their corresponding weights.

2. The method according to claim 1, characterized in that, The process involves obtaining information on the biological characteristics of birds and the characteristics of the line and environment around the overhead transmission line under test, based on historical bird collision information surrounding the line. Obtain historical information on bird strikes around the overhead transmission line under test; Determine whether the number of collisions in the historical bird collision route information is less than or equal to a first preset collision number range; If so, obtain information on the biological characteristics of birds around the overhead transmission line under test and information on the characteristics of the line and the environment; If not, determine whether the number of collisions of the historical bird collision information falls within the second or third preset collision number range, and determine the risk level of the overhead transmission line under test based on the determination result.

3. The method according to claim 1, characterized in that, The multiple bird biological characteristic risk indicators for constructing the bird biological characteristic information and the multiple route and environmental characteristic risk indicators for constructing the route and environmental characteristic information include: Using the aforementioned bird biological characteristics information, risk indicators for bird species, bird protection level, bird population size, bird age, and bird health status were constructed. Using the aforementioned route and environmental characteristics information, risk indicators are constructed for the angle between the overhead line and the bird flight path, the overhead line and the direction of illumination, the environmental background color, the conductor and ground wire morphology, and the surrounding activity environment.

4. The method according to claim 3, characterized in that, The process of quantifying the risk indicators of each of the bird biological characteristics and each of the route and environmental characteristics, and inputting all the quantified risk indicators into a preset hierarchical analysis model, includes: Using preset quantification rules for bird biological characteristics, the risk indicators of the bird species, the risk indicators of the bird protection level, the risk indicators of the bird population size, the risk indicators of the bird age, and the risk indicators of the bird health status are scored and quantified respectively. Using preset quantification rules for the characteristics of the overhead line environment, the risk indicators of the angle between the overhead line and the bird flight path, the risk indicators of the overhead line and the direction of illumination, the risk indicators of the background color of the environment, the risk indicators of the conductor shape, and the risk indicators of the surrounding activity environment are scored and quantified respectively. Input all the quantified risk indicators into the preset hierarchical analysis model.

5. The method according to claim 1, characterized in that, The step of calculating the weights corresponding to each of the quantified risk indicators using the hierarchical analysis model, and determining the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights, includes: Based on the target layer, criterion layer and factor layer of the hierarchical analysis model, the importance of each of the quantified risk indicators is compared pairwise to obtain multiple scale values. Using all the aforementioned scaling values, construct an initial fuzzy judgment matrix; Perform a consistency check on the initial fuzzy judgment matrix and determine whether the check result meets the preset compatibility index requirements; If not, then proceed to the step of comparing the importance of each quantified risk indicator in pairs to obtain multiple scale values ​​based on the target layer, criterion layer and factor layer of the hierarchical analysis model. If so, the initial fuzzy judgment matrix is ​​determined as the target fuzzy judgment matrix; Based on the target fuzzy judgment matrix, the quantified risk indicators are sorted hierarchically by single-level sorting and overall-level sorting to obtain the weights corresponding to each quantified risk indicator. The comprehensive risk value is calculated using the quantified risk indicators and their corresponding weights. Based on the comprehensive risk value, the risk level of the overhead transmission line under test is determined.

6. The method according to claim 1, characterized in that, The method further includes: Based on the risk level of the overhead transmission line under test, generate risk alarm information; Based on the risk alarm information, implement corresponding protective measures.

7. A risk assessment device for bird collisions with overhead transmission lines, characterized in that, The device includes: The acquisition module is used to acquire information on the biological characteristics of birds and the characteristics of the line and environment around the overhead transmission line under test, based on historical information on birds accidentally colliding with the line. The construction module is used to construct multiple bird biological characteristic risk indicators of the bird biological characteristic information and multiple route and environmental characteristic risk indicators of the route and environmental characteristic information. The quantification module is used to quantify the risk indicators of the biological characteristics of each bird and the risk indicators of the characteristics of each route and environment, and input all the quantified risk indicators into the preset hierarchical analysis model. The risk module is used to calculate the weights corresponding to each of the quantified risk indicators through the hierarchical analysis model, and to determine the risk level of the overhead transmission line under test based on the quantified risk indicators and their corresponding weights.

8. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the risk assessment method for bird collisions with overhead transmission lines as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the risk assessment method for bird collisions with overhead transmission lines as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, Includes computer instructions for causing a computer to execute the risk assessment method for bird collisions with overhead transmission lines as described in any one of claims 1 to 6.

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