Risk assessment method and system for bird impact on overhead transmission line, medium and equipment

Abstract

The invention provides a risk assessment method and system for bird impact on an overhead transmission line, a medium and equipment, and is applied to the technical field of rare bird protection. The method comprises the following steps: acquiring on-operation overhead transmission line information and bird population activity information in a target area, and extracting space interaction features; carrying out space alignment on the in-operation overhead transmission line information and the bird population activity information, and predicting the interaction probability that each bird mistakenly collides with the transmission line based on a space alignment result and space interaction characteristics; performing space-time matching analysis on the bird population activity information and the in-operation overhead transmission line information, and determining the possibility that each bird mistakenly collides with the transmission line based on an analysis result and the bird population activity information; and based on the protected condition, the interaction probability and the false collision possibility of each bird, carrying out risk assessment on the power transmission line mistakenly collided by the corresponding bird. According to the method, the problem that the risk of mistakenly colliding with the power transmission line by rare birds is high due to lack of bird mistakenly-colliding risk assessment in advance is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of rare bird protection, and in particular to a method and system, medium, and equipment for assessing the risk of birds striking overhead transmission lines. Background Art

[0002] With the continuous improvement of the ecological environment, the bird population has grown rapidly and its activity range has continued to expand. Affected by factors such as population characteristics, habitat, and human interference, some rare birds have accidentally collided with overhead power lines, resulting in casualties, which has had a certain impact on the ecological protection of rare birds.

[0003] The current method is to install corresponding anti-collision warning devices on the transmission lines where bird collisions occur to reduce the risk of subsequent bird collisions. However, this method has a lag and cannot conduct a preliminary bird collision risk assessment, resulting in a higher risk of rare birds accidentally colliding with transmission lines. Summary of the Invention

[0004] In order to overcome the above-mentioned problem of high risk of rare birds accidentally colliding with transmission lines due to the lack of prior bird collision risk assessment, the present invention provides a method and system, medium, and equipment for assessing the risk of bird collisions with overhead transmission lines.

[0005] In one aspect, the present invention provides a method for assessing the risk of bird strikes on overhead transmission lines, comprising:

[0006] Obtain information on operating overhead transmission lines and bird population activities in the target area and extract the spatial interaction characteristics between transmission lines and each bird species’ activities in the target area;

[0007] Spatially aligning the operating overhead transmission line information and the bird population activity information, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission line based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species;

[0008] Performing a spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line based on the analysis results and the bird population activity information;

[0009] A risk assessment of bird collisions with transmission lines is performed based on the protection status of each bird, the interaction probability of each bird in the target area accidentally colliding with transmission lines, and the possibility of each bird in each geographical grid of the target area accidentally colliding with transmission lines.

[0010] Optionally, the spatial interaction characteristics of the transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission lines, a fusion term of bird density and transmission line length, and the coverage ratio of the transmission lines on the bird migration path.

[0011] Optionally, the in-operation overhead transmission line information includes in-operation overhead transmission line corridors, and the bird population activity information includes activity trajectories of each bird population and distribution of each bird population; and spatially aligning the in-operation overhead transmission line information and the bird population activity information includes:

[0012] Dividing the target area into geographical grids based on the distribution of each bird species population within the target area;

[0013] Mapping the operating overhead transmission line corridors to the divided geographic grids to obtain a transmission line map; mapping the activity trajectories of each bird population to the divided geographic grids to obtain a map of each bird population;

[0014] The power transmission line map and each bird population map are used as the spatial alignment result.

[0015] Optionally, predicting the interaction probability of each bird in the target area accidentally colliding with the power transmission line based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird, includes:

[0016] Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively;

[0017] Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line;

[0018] Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

[0019] Optionally, the information of the operating overhead transmission lines includes information on corridors of the operating overhead transmission lines; and performing spatiotemporal matching analysis on the bird population activity information and the information of the operating overhead transmission lines includes:

[0020] Generating a bird density heat map of each bird species at different time periods based on the bird population activity information;

[0021] Performing spatial matching between the corridor of the operating overhead transmission line and the bird density heat map of each bird species at different time periods, and determining the spatial overlapping area between each bird species and the transmission line at different time periods;

[0022] Based on the spatial overlap between each bird and the power lines at different time periods, the risk level of each bird in each geographic grid is determined;

[0023] The analysis results are determined based on the risk level of each bird species in each geographic grid and the spatial overlap area between each bird species and the power transmission lines at different time periods.

[0024] Optionally, the bird population activity information includes the foraging distance of each bird species and the age distribution of each bird species; and determining the likelihood of each bird species in each geographic grid of the target area accidentally colliding with a power transmission line based on the analysis results and the bird population activity information includes:

[0025] For each bird species, the risk level of the bird species in each geographic grid is used as the false collision factor of each geographic grid;

[0026] Determining the accidental collision of the birds based on the sum of the spatial overlap areas between the birds and the power transmission lines at different time periods, the foraging distances of the birds, and the age distribution of the bird population;

[0027] Based on the false collision factor of each geographical grid and the false collision situation of the birds, the possibility of the birds falsely colliding with the power transmission line in each geographical grid is determined.

[0028] Optionally, the age distribution of the bird population includes the proportion of young birds in the bird population; determining the accidental collision of the birds based on the sum of the spatial overlap areas between the birds and the power transmission lines at different time periods, the foraging distance of the birds, and the age distribution of the bird population includes:

[0029] determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area;

[0030] Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance;

[0031] Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

[0032] Optionally, the risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the likelihood of each bird in each geographical grid of the target area accidentally striking transmission lines includes:

[0033] Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid;

[0034] The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

[0035] Optionally, after performing the risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the likelihood of each bird in each geographical grid of the target area accidentally striking transmission lines, the method further includes:

[0036] For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid;

[0037] Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid;

[0038] Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

[0039] In another aspect, the present invention provides a bird strike risk assessment system for overhead transmission lines, comprising:

[0040] A data acquisition module is used to obtain information on overhead transmission lines in operation and bird population activities in the target area and to extract spatial interaction features between transmission lines and each bird species’ activities in the target area;

[0041] a spatial interaction module for spatially aligning the information of the operating overhead transmission lines with the information of the bird population activities, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission lines based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species;

[0042] a spatiotemporal matching module for performing spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining, based on the analysis results and the bird population activity information, the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line;

[0043] The risk assessment module is used to perform a risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the possibility of each bird in each geographical grid of the target area accidentally striking transmission lines.

[0044] Optionally, the spatial interaction characteristics of the transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission lines, a fusion term of bird density and transmission line length, and the coverage ratio of the transmission lines on the bird migration path.

[0045] Optionally, the operating overhead transmission line information includes operating overhead transmission line corridors, the bird population activity information includes the activity trajectory of each bird population and the distribution of each bird population; the spatial interaction module includes a spatial alignment submodule, and the spatial alignment submodule includes:

[0046] A grid division subunit, configured to divide the target area into geographical grids based on the distribution of each bird species population in the target area;

[0047] A mapping subunit is used to map the operating overhead transmission line corridor to the divided geographic grid to obtain a transmission line map; map the activity trajectory of each bird population to the divided geographic grid to obtain a map of each bird population; and use the transmission line map and the map of each bird population as the spatial alignment result.

[0048] Optionally, the spatial interaction module includes a prediction submodule, and the prediction submodule is used to:

[0049] Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively;

[0050] Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line;

[0051] Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

[0052] Optionally, the information of the in-operation overhead transmission lines includes an in-operation overhead transmission line corridor; the spatiotemporal matching module includes a matching analysis submodule, and the matching analysis submodule includes:

[0053] A heat map generating subunit, configured to generate a heat map of bird density of each bird species at different time periods based on the bird population activity information;

[0054] A spatial matching subunit is used to perform spatial matching on the corridor of the overhead transmission line in operation and the bird density heat map of each bird species at different time periods, and determine the spatial overlapping area between each bird species and the transmission line at different time periods;

[0055] The spatiotemporal analysis subunit is used to determine the risk level of each bird species in each geographic grid based on the overlap of the spatial overlap areas between each bird species and the transmission lines at different time periods; and to determine the analysis results based on the risk level of each bird species in each geographic grid and the overlap areas between each bird species and the transmission lines at different time periods.

[0056] Optionally, the bird population activity information includes the foraging distance of each bird species and the age distribution of each bird species; the spatiotemporal matching module includes a possibility calculation submodule, and the possibility calculation submodule includes:

[0057] a false collision calculation subunit, configured to, for each bird, use the risk level of the bird in each geographic grid as a false collision factor for each geographic grid; and determine the false collision situation of the bird based on the sum of the spatial overlap areas between the bird and the power transmission line at different time periods, the bird's foraging distance, and the age distribution of the bird population;

[0058] The possibility calculation subunit is used to determine the possibility of the bird accidentally colliding with the power transmission line in each geographical grid based on the false collision factor of each geographical grid and the false collision situation of the bird.

[0059] Optionally, the age distribution of the bird population includes the proportion of young birds in the bird population; and the mis-collision calculation subunit is specifically configured to:

[0060] determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area;

[0061] Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance;

[0062] Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

[0063] Optionally, the risk assessment module is specifically configured to:

[0064] Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid;

[0065] The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

[0066] Optionally, a risk distribution map drawing module is further included, and the risk distribution map drawing module is used to:

[0067] For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid;

[0068] Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid;

[0069] Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

[0070] On the other hand, the present invention also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0071] The memory is used to store one or more programs;

[0072] When the one or more programs are executed by the at least one processor, any one of the above-mentioned methods for assessing the risk of bird strikes on overhead transmission lines is implemented.

[0073] On the other hand, the present invention also provides a readable storage medium having an execution program stored thereon, which, when executed, implements any one of the above-mentioned bird strike overhead transmission line risk assessment methods.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] The present invention provides a method and system for assessing the risk of birds striking overhead transmission lines. By integrating the protection status of birds, the interaction probability of each bird type accidentally striking the transmission line, and the possibility of each bird type accidentally striking the transmission line, a preliminary risk assessment of each bird type accidentally striking the transmission line can be achieved. An anti-collision warning device is set based on the assessment results, which can reduce the risk of rare birds accidentally striking the transmission line. At the same time, it can provide a basis for carrying out targeted rare bird protection work during the planning, design, and operation and maintenance stages of transmission lines.

[0076] The present invention spatially aligns the information of operating overhead transmission lines and the information of bird population activities, maps the transmission lines and bird activities to the same spatial dimension, and then combines the spatial interaction characteristics of the two to predict the interaction probability of birds accidentally colliding with transmission lines from the perspective of spatial interaction; by performing spatiotemporal matching analysis on the information of bird population activities and the information of operating overhead transmission lines, the possibility of birds accidentally colliding with transmission lines is determined from the perspective of spatiotemporal matching; through the spatial interaction and spatiotemporal matching of transmission lines and bird activities, the possibility of bird accidental collisions at different locations in the target area is characterized from different angles, realizing the coupled association of the spatiotemporal information of transmission lines and bird activities, and improving the accuracy of bird accidental collision risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 This is a flow chart of a method for assessing the risk of birds striking overhead transmission lines according to the present invention;

[0078] Figure 2 This is a second flow chart of a method for assessing the risk of birds striking overhead transmission lines according to the present invention;

[0079] Figure 3 Schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION

[0080] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0081] Example 1

[0082] The present invention provides a method for assessing the risk of birds striking overhead transmission lines, as shown in the schematic diagram. Figure 1 As shown, including:

[0083] Step S110, obtaining information on operating overhead transmission lines and bird population activity information in the target area and extracting spatial interaction features between the transmission lines and each bird activity in the target area;

[0084] Step S120: spatially aligning the operating overhead transmission line information and the bird population activity information, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission line based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species;

[0085] Step S130, performing a spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line based on the analysis result and the bird population activity information;

[0086] Step S140 , performing a risk assessment of the corresponding bird accidentally colliding with the transmission line based on the protection status of each bird, the interaction probability of each bird accidentally colliding with the transmission line in the target area, and the possibility of each bird accidentally colliding with the transmission line in each geographical grid of the target area.

[0087] In this example embodiment, the target area is an area to be evaluated based on the purpose of the research. The target area may be an area where rare birds are active or an area where there are many bird collision incidents. The information on overhead transmission lines in operation may include the name of the transmission line, voltage level, tower coordinates, line location (latitude and longitude), length, height, etc. For example, the information on overhead transmission lines in operation includes the corridors of overhead transmission lines in operation. The bird population activity information may be the bird population activity information detected in the target area within the target period (nearly one year), including bird species, bird age, habitat, foraging grounds, migration paths, activity range, bird population number, bird population activity trajectory and bird population distribution, etc. The bird population activity information and the information on overhead transmission lines in operation in the target area can be obtained by integrating multi-source data, such as bird ecological survey data, GIS (Geographic Information System) data, power company data, etc. The spatial interaction characteristics of transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission line, a fusion term of bird density and transmission line length (such as the product of bird density and transmission line length), and the coverage ratio of transmission lines on bird migration paths. In order to improve the prediction accuracy of bird strikes on transmission lines, analysis and prediction are conducted from the two perspectives of spatial interaction and spatiotemporal matching. The target area can be divided into spatial geographic grids, which can be divided according to a fixed grid size or other rules. For example, the target area is subdivided into grids of 0.5km*0.5km*0.5km. By analyzing the frequency and possibility of bird collisions on a grid-by-grid basis, the risk assessment of bird collisions on transmission lines can be achieved. The interaction characteristics of birds accidentally colliding with transmission lines are characterized by spatial interaction analysis between birds and transmission lines; the probability characteristics of birds accidentally colliding with transmission lines are characterized by spatiotemporal matching analysis between birds and transmission lines; finally, the risk of accidental collisions is assessed by comprehensively considering the interaction characteristics, probability characteristics and protection status of birds. This improves the accuracy of the assessment of the risk of accidental collisions of rare birds, and can provide a basis for targeted rare bird protection work during the planning, design and operation and maintenance stages of transmission lines.

[0088] In some example embodiments, the spatial alignment of the operating overhead transmission line information and the bird population activity information in step S120 includes:

[0089] Dividing the target area into geographical grids based on the distribution of each bird species population within the target area;

[0090] Mapping the operating overhead transmission line corridors to the divided geographic grids to obtain a transmission line map; mapping the activity trajectories of each bird population to the divided geographic grids to obtain a map of each bird population;

[0091] The power transmission line map and each bird population map are used as the spatial alignment result.

[0092] In this example embodiment, the information of the in-operation overhead transmission line is included in the in-operation overhead transmission line corridor, and the bird population activity information includes the bird population activity trajectory (which may include migration routes and foraging paths) and the bird population distribution. The target area can be geographically gridded based on the bird population distribution. For example, in areas where bird populations are densely distributed, the geographical grid is divided finer (i.e., the grid area is small); in areas where bird populations are sparsely distributed, the geographical grid is divided coarser (the grid area is large); in areas where there is no bird population distribution, no geographical grid division is performed. Based on geographic location information (such as longitude and latitude, etc.), the in-operation overhead transmission line corridor and the activity trajectory of each bird population are mapped to the geographic grid respectively to achieve spatial alignment of the transmission line and bird activity data. By spatially aligning the two types of data, preparations are made for subsequent data processing and the accuracy of subsequent predictions is improved.

[0093] In some example embodiments, predicting the interaction probability of each bird in the target area accidentally colliding with the power transmission line based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird in step S120 includes:

[0094] Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively;

[0095] Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line;

[0096] Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

[0097] In this example embodiment, a convolutional neural network (CNN) is used to convert the geographical areas corresponding to the power transmission line map and each bird population map into corresponding raster images, thereby realizing the spatial position association of the two types of maps, such as the superposition of bird trajectories and power transmission lines. For example, the local features of the power transmission line map and each bird population map are extracted respectively through multiple convolutions (one convolution process), and then the spatial position association of the two types of maps (line map and each bird population map) is performed using the location information of the local features (i.e., geographic grid number). Based on the association results, the two types of local feature maps can be superimposed to obtain a superimposed map of each bird species; the superimposed map of each bird species and the spatial interaction features of each bird species are feature spliced, and then a secondary convolution process (multiple convolutions and pooling) is performed to extract the interaction features. Finally, the final interaction features extracted for each bird species are fully connected to determine the interaction probability of the accidental collision event for each bird species. This example uses a single convolution process to extract local features from each map, and then superimposes the extracted local features to mine hidden interaction features. It then further mines the correlation between the hidden interaction features and the spatial interaction features of the corresponding birds. Finally, through feature integration and probability mapping, it obtains the probability of accidental collision interaction for each bird type, that is, the probability of accidental collision for each type of bird determined from the spatial interaction dimension.

[0098] In some example embodiments, performing spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information in S130 includes:

[0099] Generating a bird density heat map of each bird species at different time periods based on the bird population activity information;

[0100] Performing spatial matching between the corridor of the operating overhead transmission line and the bird density heat map of each bird species at different time periods, and determining the spatial overlapping area between each bird species and the transmission line at different time periods;

[0101] Based on the spatial overlap between each bird and the power lines at different time periods, the risk level of each bird in each geographic grid is determined;

[0102] The analysis results are determined based on the risk level of each bird species in each geographic grid and the spatial overlap area between each bird species and the power transmission lines at different time periods.

[0103] In this example embodiment, the information of the operating overhead transmission lines is included in the corridors of the operating overhead transmission lines. The bird activity period can be divided into the migratory period and the non-migratory period according to the migration habits of each bird, and the bird activity period can be divided into different foraging periods and non-foraging periods according to the foraging habits of each bird, for example, the morning foraging period in the non-migratory period. Remote sensing data (such as vegetation coverage and water distribution) can be used to analyze bird habitat habits, for example, the flight paths of water birds are more concentrated near wetlands. A bird density heat map of the corresponding time period can be generated based on the bird population activity information of different time periods in a specified historical period, and the operating overhead transmission line corridor and the bird density heat map of each bird at different time periods can be spatially matched based on location coordinates or layer-by-layer layer overlay to obtain a spatial overlapping area. For each bird, the risk level of the bird in each geographic grid is determined based on the overlap of its spatial overlapping area with the transmission line at different time periods. For example, if all or part of the sub-regions of a spatially overlapping area appear in more than two time periods, risk factors are set for different sub-regions (corresponding to different geographic grids) based on the cumulative number of repeated appearances of the sub-regions of the spatially overlapping area. For example, the cumulative number of appearances of the spatially overlapping area of ​​each geographic grid in different time periods is used as the risk factor of the geographic grid. Finally, the risk factor of each geographic grid and the spatial overlap area between each bird species and the transmission line in different time periods are used as the analysis results. This example achieves temporal and spatial coupling between birds and transmission lines through spatiotemporal matching analysis, and explores overlapping features from the perspective of spatiotemporal coupling.

[0104] In some example embodiments, determining the likelihood of each bird type in each geographic grid of the target area accidentally colliding with a power transmission line based on the analysis results and the bird population activity information in S130 includes:

[0105] For each bird species, the risk level of the bird species in each geographic grid is used as the false collision factor of each geographic grid;

[0106] Determining the accidental collision of the birds based on the sum of the spatial overlap areas between the birds and the power transmission lines at different time periods, the foraging distances of the birds, and the age distribution of the bird population;

[0107] Based on the false collision factor of each geographical grid and the false collision situation of the birds, the possibility of the birds falsely colliding with the power transmission line in each geographical grid is determined.

[0108] In this example embodiment, the bird population activity information includes the foraging distance of each bird species and the age distribution of each bird population. For each bird species, the false collision factor of each geographic grid is used as a weight to weight the false collision probability of the bird species in each geographic grid. For each bird species, the false collision probability of the bird species in each geographic grid can be determined by combining the corresponding spatial overlap area (such as the total volume of the overlapping area), the foraging distance (the distance from the habitat to the foraging ground), and the age distribution of the bird population (such as the number / proportion of young birds).

[0109] Exemplarily, determining the bird's accidental collision situation based on the sum of the spatial overlap areas between the bird and the power transmission line at different time periods, the bird's foraging distance, and the age distribution of the bird population includes:

[0110] determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area;

[0111] Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance;

[0112] Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

[0113] In this example embodiment, for each bird, the age distribution of the bird population includes the proportion of young birds in the bird's population. For each bird, the proportion of the total volume of the spatial overlapping areas in different time periods in the target area can be used as the spatial overlap factor. The preset risk distance can be set according to experience or historical data. The risk distance is used to characterize the high-risk foraging distance. For example, the foraging distance when the probability of a miscollision event increases significantly when the bird's foraging historical data exceeds a certain foraging distance can be used as the bird's risk distance. The bird's foraging distance can be the average foraging distance of the bird in a specified period (such as the average foraging distance in the past month), and the ratio of the bird's foraging distance to the risk distance is used as the distance risk factor. The spatial overlap factor, distance risk factor and the proportion of young birds in the bird's population are weighted and summed to obtain the bird's miscollision situation (i.e., miscollision index value). This example improves the feature characterization ability of the miscollision index value by screening out influencing factors such as foraging distance and proportion of young birds that have a greater impact on the miscollision situation and integrating them with the spatial overlap situation.

[0114] In some embodiments, the step of S140 performing a risk assessment of bird collisions with transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally colliding with the transmission line, and the likelihood of each bird in each geographic grid of the target area accidentally colliding with the transmission line includes:

[0115] Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid;

[0116] The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

[0117] In this example implementation, risk assessment can be performed with reference to the protection level of each bird. For example, according to the National List of Key Protected Wildlife, the protection level of a specific bird is clarified, and the accidental collision consequence values ​​of birds of different protection levels are pre-configured. For example, the accidental collision consequence value of a specific bird is determined according to the following formula:

[0118]

[0119] Where C n Represents the consequences of a bird of the nth category accidentally striking a line. Specifically, for black-necked cranes and peregrine falcons, both classified as Class I national protected species, the value is 1; for common cranes, classified as Class II national protected species, the value is 0.5; and for birds not classified as Class I or Class II national protected species, such as shelducks and common mergansers, the value is 0.25. For example, by considering the protection level, the risk of accidental collision for black-necked cranes is determined to be greater than that for common cranes.

[0120] In this example, cross-fusion can be performed by multiplying the data items to be fused. For example, the risk value of each bird species accidentally hitting a transmission line in each geographic grid is calculated according to the following formula:

[0121] R n,ijk =C n,ijk ×E n ×L n,ijk (2)

[0122] Where: R n,ijk represents the risk of accidental collision of the nth bird at the coordinate (i, j, k) grid, C n,ijk represents the accidental collision consequence value of the nth bird at the coordinate (i, j, k) grid, E n represents the probability of accidental collision interaction of the nth type of bird, L n,ijkRepresents the probability value of a miscollision of the nth type of bird in the grid with coordinates (i, j, k). In other embodiments, cross-fusion can also be performed by fusing every two data items to be fused (such as taking the product between every two data items), and then further fusing the fusion results (such as summing the fusion results) to calculate the miscollision risk value of each bird in each geographic grid. The miscollision risk value of each bird in the target area can also be calculated by summing the miscollision risk values ​​of all geographic grids for each bird; the total miscollision risk value of birds in each geographic grid can also be calculated by summing the miscollision risk values ​​of all birds on each geographic grid.

[0123] In some embodiments, after performing the risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the likelihood of each bird in each geographic grid of the target area accidentally striking transmission lines, the method further includes:

[0124] For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid;

[0125] Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid;

[0126] Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

[0127] In this example implementation, the total risk value of bird strikes within each geographic grid can be calculated according to the following formula:

[0128]

[0129] Where R ijk The total risk value of bird accidental strikes representing the grid at coordinate (i, j, k) is obtained by adding up all the bird accidental strike risk values; N is the total number of bird species in the target area. For example, the number of risk levels can be set based on the distribution range of the total risk value of bird accidental strikes. For example, the distribution range of the total risk value of bird accidental strikes can be divided into four risk levels: 0, I, II, and III. Different risk levels correspond to different total risk value intervals of bird accidental strikes. ij The total risk value of bird accidental strike R ijAfter determination, the areas corresponding to different risk levels can be colored with different colors to visually display different risks. After the total risk value of bird accidental strikes for all geographic grids is determined, the geographic grids can be interpolated using the interpolation algorithms such as Kriging built into the mapping software to obtain the risk value corresponding to the refined grid of the target area; based on the risk value of the interpolated refined grid, the risk level is divided and the risk map is drawn and colored to complete the drawing of the risk distribution map of bird accidental strikes on overhead transmission lines. For example, the risk grading standards and colors for bird accidental strikes on lines are shown in Table 1 below:

[0130] Table 1 Risk classification standards and legends for bird accidental collision routes

[0131] Serial number Risk Level Risk Value RGB color 1 0 (0-a1] R=255, G=255, B=0 2 I (a1-a2] R=255, G=200, B=150 3 II (a2-a3] R=200, G=0, B=255 4 III >a3 R=200, G=100, B=0

[0132] In Table 1, a1, a2, and a3 are the upper limits of the total risk values ​​of bird accidental strikes at risk levels 0, I, and II, respectively. By setting different RGB values ​​for different risk levels, different risk levels can be colored.

[0133] The method described in this paper can be used to develop a risk distribution map for bird collisions with overhead transmission lines in a specific region. For example, a newly planned 500kV overhead transmission line passes through a Class II bird collision risk area. Based on this information, bird-scaring devices such as warning balls should be deployed on the ground wires of this line section, with the highest density deployment method being adopted to provide the best protection solution for rare birds and achieve effective conservation.

[0134] Based on the risk assessment results presented in this paper, when planning and designing overhead transmission lines, or when modifying existing lines, the risk distribution map can be used to rationally determine the scale of bird-scare device deployment to prevent birds, especially rare birds, from accidentally colliding with overhead transmission lines. By applying the risk distribution map for bird collisions with overhead transmission lines, the occurrence of rare birds accidentally colliding with transmission lines can be reduced while also avoiding the increased investment caused by overemphasizing the risk of rare birds accidentally colliding with transmission lines.

[0135] In one embodiment, Figure 2 As shown, the bird strike overhead transmission line risk assessment method of the present invention may include the following process:

[0136] (1) Collection of information on operating overhead transmission lines and data related to bird characteristics;

[0137] First, the scope of the area to be assessed was clarified, along with the types of bird species involved, and the types of bird species included in the risk assessment. Comprehensive information on operational overhead transmission lines and bird characteristics was collected and collated for the power industry, bird conservation organizations, and other related industries. Specific data included transmission line names, voltage levels, tower coordinates, as well as bird species, age, habitats, foraging areas, migration routes, and ranges.

[0138] (2) Calculation of the consequences of specific birds accidentally hitting the route;

[0139] The consequences of accidental collisions are determined based on the protection level of specific bird species. The higher the protection level, the greater the corresponding accidental collision consequence value.

[0140] (3) Calculation of the probability of birds accidentally hitting the route at a specific spatial interaction angle;

[0141] (4) Calculation of the probability of birds accidentally hitting a route at a specific time-space matching angle;

[0142] (5) Calculation of the risk of specific birds accidentally hitting the route;

[0143] It is determined based on the calculated accidental collision consequence value (2), the calculated probability of bird accidental collision route (3) and the calculated possibility of bird accidental collision route (4).

[0144] (6) Calculation of the comprehensive risk of birds accidentally hitting the route;

[0145] The comprehensive risk value of each geographic grid is obtained by adding the risk values ​​of all birds in the geographic grid.

[0146] (7) Bird strike risk interpolation;

[0147] After all grid risk values ​​are determined, interpolation algorithms such as Kriging built into the drawing software can be used to perform interpolation on finer grids to obtain risk values ​​for refined grids of all areas to be assessed.

[0148] (8) Classification of risk levels of birds accidentally hitting lines.

[0149] With the continuous improvement of the ecological environment, bird populations are growing rapidly and their ranges are expanding. Affected by factors such as population characteristics, habitats, and human interference, some rare birds have accidentally collided with overhead transmission lines, resulting in casualties, which has had a certain impact on the ecological protection of rare birds. In fact, if the risk of rare bird collisions is not assessed or the assessment is inaccurate, it will have a significant impact on rare bird protection work. It may lead to an increase in rare bird casualties due to the inadequate deployment of protective devices or an increase in project costs due to the excessive deployment of protective devices. Therefore, it is particularly important to accurately assess the risk of birds accidentally colliding with transmission lines. At present, the power sector has studied the impact of birds on power grid operations based on historical meteorological data, but has not studied the impact of overhead lines on bird strikes.

[0150] In response to the above problems, the present invention collects information on operating overhead transmission lines and bird population activity information, predicts the probability of false collisions from the perspective of spatial interaction characteristics and spatiotemporal matching of the two types of data, and finally evaluates the risk of false collisions of birds at different locations in the assessment area by integrating the bird protection level and false collision prediction results from different angles. Based on the assessment results, risk level division and distribution map drawing can be carried out to clarify the risk level of rare birds falsely colliding with overhead transmission lines in different regions, which can be used to guide targeted overhead transmission line planning, design, operation and maintenance, and rare bird protection work, such as deploying warning devices such as warning balls, blades, spirals, and clips to prevent bird collisions. The present invention divides the risk level of birds falsely colliding with overhead transmission lines through accurate risk assessment, and effectively protects rare birds by deploying bird warning devices, while controlling the project cost within a reasonable range and not affecting the operation of the transmission lines; providing a technical basis for preventing rare birds from falsely colliding with overhead transmission lines.

[0151] Example 2

[0152] Based on the same inventive concept, the present invention also provides a bird strike overhead transmission line risk assessment system, comprising:

[0153] A data acquisition module is used to obtain information on overhead transmission lines in operation and bird population activities in the target area and to extract spatial interaction features between transmission lines and each bird species’ activities in the target area;

[0154] a spatial interaction module for spatially aligning the information of the operating overhead transmission lines with the information of the bird population activities, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission lines based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species;

[0155] a spatiotemporal matching module for performing spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining, based on the analysis results and the bird population activity information, the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line;

[0156] The risk assessment module is used to perform a risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the possibility of each bird in each geographical grid of the target area accidentally striking transmission lines.

[0157] In a possible embodiment, the spatial interaction characteristics of the transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission line, a fusion term of bird density and transmission line length, and the coverage ratio of the transmission line on the bird migration path.

[0158] In a possible implementation, the operating overhead transmission line information includes operating overhead transmission line corridors, the bird population activity information includes the activity trajectory of each bird population and the distribution of each bird population; the spatial interaction module includes a spatial alignment submodule, and the spatial alignment submodule includes:

[0159] A grid division subunit, configured to divide the target area into geographical grids based on the distribution of each bird species population in the target area;

[0160] A mapping subunit is used to map the operating overhead transmission line corridor to the divided geographic grid to obtain a transmission line map; map the activity trajectory of each bird population to the divided geographic grid to obtain a map of each bird population; and use the transmission line map and the map of each bird population as the spatial alignment result.

[0161] In a possible implementation, the spatial interaction module includes a prediction submodule, and the prediction submodule is configured to:

[0162] Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively;

[0163] Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line;

[0164] Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

[0165] In a possible implementation, the information of the operating overhead transmission lines includes an operating overhead transmission line corridor; the spatiotemporal matching module includes a matching analysis submodule, and the matching analysis submodule includes:

[0166] A heat map generating subunit, configured to generate a heat map of bird density of each bird species at different time periods based on the bird population activity information;

[0167] A spatial matching subunit is used to perform spatial matching on the corridor of the overhead transmission line in operation and the bird density heat map of each bird species at different time periods, and determine the spatial overlapping area between each bird species and the transmission line at different time periods;

[0168] The spatiotemporal analysis subunit is used to determine the risk level of each bird species in each geographic grid based on the overlap of the spatial overlap areas between each bird species and the transmission lines at different time periods; and to determine the analysis results based on the risk level of each bird species in each geographic grid and the overlap areas between each bird species and the transmission lines at different time periods.

[0169] In a possible implementation, the bird population activity information includes the foraging distance of each bird species and the age distribution of each bird species; the spatiotemporal matching module includes a possibility calculation submodule, and the possibility calculation submodule includes:

[0170] a false collision calculation subunit, configured to, for each bird, use the risk level of the bird in each geographic grid as a false collision factor for each geographic grid; and determine the false collision situation of the bird based on the sum of the spatial overlap areas between the bird and the power transmission line at different time periods, the bird's foraging distance, and the age distribution of the bird population;

[0171] The possibility calculation subunit is used to determine the possibility of the bird accidentally colliding with the power transmission line in each geographical grid based on the false collision factor of each geographical grid and the false collision situation of the bird.

[0172] In a possible implementation, the age distribution of the bird population includes the proportion of young birds in the bird population; and the mis-collision calculation subunit is specifically configured to:

[0173] determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area;

[0174] Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance;

[0175] Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

[0176] In a possible implementation, the risk assessment module is specifically configured to:

[0177] Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid;

[0178] The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

[0179] In a possible implementation, the invention further includes a risk distribution map drawing module, wherein the risk distribution map drawing module is configured to:

[0180] For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid;

[0181] Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid;

[0182] Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

[0183] Example 3

[0184] like Figure 3 As shown, the present invention also provides an electronic device, which may be a computer, a single-chip microcomputer, a smart mobile device, or the like. The electronic device in this embodiment may include a processor, a memory, a transceiver component, and the like. The memory, processor, and transceiver component are connected via a bus; the memory may be used to store an execution program, which may include instructions; and the processor may be used to execute the instructions stored in the memory. The memory may also be used to store data, which may be accessed and / or modified during the execution of the instructions.

[0185] The processor may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a bird strike overhead transmission line risk assessment method in the above embodiment.

[0186] Example 4

[0187] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It can be understood that the storage medium here can include both built-in storage media in the electronic device and, of course, extended storage media supported by the electronic device. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a bird strike overhead transmission line risk assessment method in the above embodiment.

[0188] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0189] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0190] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0191] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0192] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art may still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims.

Claims

1. A method for assessing the risk of bird strikes on overhead transmission lines, characterized in that: include: Obtain information on operating overhead transmission lines and bird population activities in the target area and extract the spatial interaction characteristics between transmission lines and each bird species’ activities in the target area; Spatially aligning the operating overhead transmission line information and the bird population activity information, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission line based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species; Performing a spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line based on the analysis results and the bird population activity information; A risk assessment of bird collisions with transmission lines is performed based on the protection status of each bird, the interaction probability of each bird in the target area accidentally colliding with transmission lines, and the possibility of each bird in each geographical grid of the target area accidentally colliding with transmission lines.

2. The method according to claim 1, characterized in that The spatial interaction characteristics between power transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission line, a fusion term of bird density and transmission line length, and the coverage ratio of the transmission line on the bird migration path.

3. The method according to claim 2, characterized in that The in-operation overhead transmission line information includes in-operation overhead transmission line corridors, and the bird population activity information includes the activity trajectory of each bird population and the distribution of each bird population; and spatially aligning the in-operation overhead transmission line information and the bird population activity information includes: Dividing the target area into geographical grids based on the distribution of each bird species population within the target area; Mapping the operating overhead transmission line corridors to the divided geographic grids to obtain a transmission line map; mapping the activity trajectories of each bird population to the divided geographic grids to obtain a map of each bird population; The power transmission line map and each bird population map are used as the spatial alignment result.

4. The method according to claim 3, characterized in that Based on the spatial alignment results and the spatial interaction characteristics corresponding to each bird, the interaction probability of each bird accidentally colliding with the transmission line in the target area is predicted, including: Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively; Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line; Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

5. The method according to claim 1, wherein The information of the overhead transmission lines in operation includes the corridors of the overhead transmission lines in operation; Performing a spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, including: Generating a bird density heat map of each bird species at different time periods based on the bird population activity information; Performing spatial matching between the corridor of the operating overhead transmission line and the bird density heat map of each bird species at different time periods, and determining the spatial overlapping area between each bird species and the transmission line at different time periods; Based on the spatial overlap between each bird and the power lines at different time periods, the risk level of each bird in each geographic grid is determined; The analysis results are determined based on the risk level of each bird species in each geographic grid and the spatial overlap area between each bird species and the power transmission lines at different time periods.

6. The method according to claim 5, characterized in that The bird population activity information includes the foraging distance of each bird species and the age distribution of each bird species; and determining the probability of each bird species accidentally colliding with a power transmission line in each geographic grid of the target area based on the analysis results and the bird population activity information includes: For each bird species, the risk level of the bird species in each geographic grid is used as the false collision factor of each geographic grid; Determining the accidental collision of the birds based on the sum of the spatial overlap areas between the birds and the power transmission lines at different time periods, the foraging distances of the birds, and the age distribution of the bird population; Based on the false collision factor of each geographical grid and the false collision situation of the birds, the possibility of the birds falsely colliding with the power transmission line in each geographical grid is determined.

7. The method according to claim 6, characterized in that The age distribution of the bird population includes the proportion of young birds in the bird population; based on the total spatial overlap area between the birds and the power transmission line at different time periods, the foraging distance of the birds, and the age distribution of the bird population, the accidental collision of the birds is determined, including: determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area; Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance; Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

8. The method according to any one of claims 1 to 7, characterized in that The risk assessment of birds accidentally striking transmission lines is performed based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the possibility of each bird in each geographic grid of the target area accidentally striking transmission lines, including: Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid; The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

9. The method according to claim 8, characterized in that After performing the risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the likelihood of each bird in each geographical grid of the target area accidentally striking transmission lines, the method further includes: For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid; Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid; Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

10. A bird strike overhead transmission line risk assessment system, characterized in that: include: A data acquisition module is used to obtain information on overhead transmission lines in operation and bird population activities in the target area and to extract spatial interaction features between transmission lines and each bird species’ activities in the target area; a spatial interaction module for spatially aligning the information of the operating overhead transmission lines with the information of the bird population activities, and predicting the interaction probability of each bird species in the target area accidentally colliding with the transmission lines based on the spatial alignment result and the spatial interaction characteristics corresponding to each bird species; a spatiotemporal matching module for performing spatiotemporal matching analysis on the bird population activity information and the operating overhead transmission line information, and determining, based on the analysis results and the bird population activity information, the likelihood of each bird species in each geographic grid of the target area accidentally colliding with the transmission line; The risk assessment module is used to perform a risk assessment of birds accidentally striking transmission lines based on the protection status of each bird, the interaction probability of each bird in the target area accidentally striking transmission lines, and the possibility of each bird in each geographical grid of the target area accidentally striking transmission lines.

11. The system according to claim 10, wherein: The spatial interaction characteristics between power transmission lines and bird activities in the target area include at least one of the following: bird density within a specified range around the transmission line, a fusion term of bird density and transmission line length, and the coverage ratio of the transmission line on the bird migration path.

12. The system according to claim 11, wherein: The in-operation overhead transmission line information includes in-operation overhead transmission line corridors, and the bird population activity information includes the activity trajectory of each bird population and the distribution of each bird population; the spatial interaction module includes a spatial alignment submodule, and the spatial alignment submodule includes: A grid division subunit, configured to divide the target area into geographical grids based on the distribution of each bird species population in the target area; A mapping subunit is used to map the operating overhead transmission line corridor to the divided geographic grid to obtain a transmission line map; map the activity trajectory of each bird population to the divided geographic grid to obtain a map of each bird population; and use the transmission line map and the map of each bird population as the spatial alignment result.

13. The system according to claim 12, wherein: The spatial interaction module includes a prediction submodule, which is used to: Performing a convolution process on the transmission line map and each bird population map respectively, to obtain a transmission line feature map and a bird population feature map respectively; Based on the geographical grids divided in the target area, spatially associating the characteristic map of each bird population with the characteristic map of the power transmission line; Based on the spatial position association results and spatial interaction features corresponding to the characteristic map of each bird population, secondary convolution processing and full connection processing are performed to determine the interaction probability of each bird species accidentally colliding with the transmission line in the target area.

14. The system according to claim 10, wherein: The information of the in-operation overhead transmission lines includes the in-operation overhead transmission line corridors; the spatiotemporal matching module includes a matching analysis submodule, and the matching analysis submodule includes: A heat map generating subunit, configured to generate a heat map of bird density of each bird species at different time periods based on the bird population activity information; A spatial matching subunit is used to perform spatial matching on the corridor of the overhead transmission line in operation and the bird density heat map of each bird species at different time periods, and determine the spatial overlapping area between each bird species and the transmission line at different time periods; The spatiotemporal analysis subunit is used to determine the risk level of each bird species in each geographic grid based on the overlap of the spatial overlap areas between each bird species and the transmission lines at different time periods; and to determine the analysis results based on the risk level of each bird species in each geographic grid and the overlap areas between each bird species and the transmission lines at different time periods.

15. The system according to claim 14, wherein: The bird population activity information includes the foraging distance of each bird species and the age distribution of each bird species; The spatiotemporal matching module includes a possibility calculation submodule, and the possibility calculation submodule includes: a false collision calculation subunit, configured to, for each bird, use the risk level of the bird in each geographic grid as a false collision factor for each geographic grid; and determine the false collision situation of the bird based on the sum of the spatial overlap areas between the bird and the power transmission line at different time periods, the bird's foraging distance, and the age distribution of the bird population; The possibility calculation subunit is used to determine the possibility of the bird accidentally colliding with the power transmission line in each geographical grid based on the false collision factor of each geographical grid and the false collision situation of the bird.

16. The system according to claim 15, wherein: The age distribution of the bird population includes the proportion of young birds in the bird population; the mis-collision calculation subunit is specifically used to: determining a spatial overlap factor of the bird based on a proportion of the total spatial overlap area between the bird and the power transmission line at different time periods in the target area; Determining a distance risk factor for the bird based on a ratio of the bird's foraging distance to a preset risk distance; Based on the fusion processing of the spatial overlap factor, distance risk factor and proportion of young birds in the population of the birds, the accidental collision situation of the birds is determined.

17. The system according to any one of claims 10 to 16, characterized in that: The risk assessment module is specifically used to: Determine the risk value of each bird species accidentally colliding with a transmission line in each geographic grid based on the cross-integration of the protection status of each bird species, the interaction probability of each bird species accidentally colliding with a transmission line in the target area, and the possibility of each bird species accidentally colliding with a transmission line in each geographic grid; The risk value of each bird species accidentally colliding with the transmission line in each geographical grid is used as the risk assessment result for each bird species.

18. The system according to claim 17, wherein: The risk distribution map drawing module is further included, and the risk distribution map drawing module is used to: For each geographic grid, a total bird accidental strike risk value within the geographic grid is determined based on a fusion process of the accidental strike risk value of each bird species within the geographic grid; Classifying different geographical grids into risk levels based on the total risk value of bird accidental strikes within the geographical grids to obtain a risk level for each geographical grid; Draw a distribution map of the risk of birds accidentally striking transmission lines based on the risk level of each geographic grid.

19. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the method according to any one of claims 1 to 9 is implemented.

20. A readable storage medium, characterized in that An execution program is stored thereon, and when the execution program is executed, the method according to any one of claims 1 to 9 is implemented.

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