Evaluation method and device for obstacles around power transmission line and electronic equipment

Abstract

The invention discloses a method and device for evaluating obstacles around a power transmission line and electronic equipment. The method comprises the steps that attribute information of at least one obstacle around the power transmission line is recognized, and the attribute information is used for representing whether the obstacle affects the safety state of the power transmission line or not; determining at least one target obstacle of which the attribute information exceeds an attribute information threshold value from the at least one obstacle; based on a three-dimensional model around the power transmission line, at least one adjustment strategy of the target obstacle is determined, the three-dimensional model is used for representing features of the power transmission line and the obstacle in the spatial dimension, and the adjustment strategy is used for representing a rule for adjusting the target obstacle; screening out a target adjustment strategy from the at least one adjustment strategy, and adjusting the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result; and evaluating the adjustment result to obtain an evaluation result. The technical problem that the accuracy of obstacle adjustment is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system maintenance, and in particular to a method, a device and an electronic device for evaluating obstacles around a transmission line. Background Art

[0002] At present, how to ensure the safe operation of the transmission line is closely related to whether the obstacles around the transmission line have an impact on it. For example, if the obstacle is a tree, the excessive growth of the tree poses a serious threat to the safe operation of the transmission line. On the one hand, because the branches of the tree are too long and come into contact with the transmission line, the transmission line will trip, and even cause accidents such as short circuit and fire in the transmission line, thus affecting the safe operation of the transmission line; on the other hand, the excessive growth of trees will cause the channel where the transmission line is located to be narrow, resulting in insufficient safety distance between the transmission line and the ground, thus affecting the safe operation of the transmission line. Therefore, how to adjust the obstacles around the transmission line is crucial to ensure the safe operation of the transmission line.

[0003] In the related technology, workers mainly evaluate the transmission lines and surrounding obstacles in the channel where the transmission lines are located to determine whether the obstacles need to be adjusted. For example, workers can use channel analysis to determine whether the distance between trees and transmission lines is close to determine whether the branches of trees need to be pruned or whether trees need to be cut down.

[0004] However, due to the complex terrain conditions and many obstacles in the channel where the transmission line is located, the workload of the staff is heavy, resulting in inadequate adjustment of obstacles, which will still affect the safe operation of the transmission line. Therefore, there is still a technical problem of low accuracy in obstacle adjustment.

[0005] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0006] The embodiments of the present invention provide a method, a device and an electronic device for evaluating obstacles around a power transmission line, so as to at least solve the technical problem of low accuracy in adjusting obstacles.

[0007] According to one aspect of an embodiment of the present invention, there is provided a method for evaluating obstacles around a transmission line, the method may include: identifying attribute information of at least one obstacle around the transmission line, wherein the attribute information is used to indicate whether the obstacle affects the safety state of the transmission line; determining at least one target obstacle whose attribute information exceeds an attribute information threshold from the at least one obstacle; determining at least one adjustment strategy for the target obstacle based on a three-dimensional model around the transmission line, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in the spatial dimension, and the adjustment strategy is used to represent a rule for adjusting the target obstacle; screening out a target adjustment strategy from the at least one adjustment strategy, and adjusting the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose degree of influence on the safety state is lower than the degree of influence threshold; evaluating the adjustment result to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets actual operation requirements.

[0008] Optionally, the method also includes: using an image acquisition device of the transmission line to acquire initial video stream data around the transmission line; converting the initial video stream data into video stream data, wherein the quality of the video stream data is higher than the quality of the initial video stream data; the attribute information includes at least geometric feature attributes and position feature attributes, wherein identifying the attribute information of at least one obstacle around the transmission line includes: extracting multiple image frame information from the video stream data, and extracting geometric feature attributes and position feature attributes from the multiple image frame information, wherein the position feature attributes are used to represent the relative position between the transmission line and the obstacle.

[0009] Optionally, determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle includes: constructing a three-dimensional model of the transmission line using a three-dimensional modeling platform in the spatial dimension of a virtual environment; and determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle based on the three-dimensional model and the attribute information.

[0010] Optionally, before determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle based on the three-dimensional model and the attribute information, the method further includes: determining the obstacle height of the obstacle, the distance information between the obstacle and the transmission line, the size of the obstacle, and the safety area of ​​the transmission line based on the three-dimensional model and the attribute information; determining impact index data of the impact of the obstacle on the safety status based on the obstacle height, the distance information, the size of the obstacle, and the safety area, wherein the impact index data is used to indicate the degree of impact of the obstacle on the safety status; in response to the impact index data exceeding the impact index data threshold, determining the risk index of the obstacle based on the obstacle height and the radius information of the obstacle, wherein the risk index is used to indicate the severity of the impact of the obstacle on the safety status.

[0011] Optionally, based on the three-dimensional model and the attribute information, determining whether the attribute information exceeds the attribute information threshold includes: in response to the risk index exceeding the risk index threshold, determining that the attribute information exceeds the attribute information threshold; in response to the risk index not exceeding the risk index threshold, determining that the attribute information does not exceed the attribute information threshold.

[0012] Optionally, based on a three-dimensional model around the transmission line, at least one adjustment strategy for the target obstacle is determined, including: in response to a risk index exceeding a risk index threshold, determining a risk area of ​​the transmission line, wherein the risk area is used to represent an area where the severity of the risk caused by the obstacle and the safety status is high; in the three-dimensional model, marking the risk area, and determining at least one adjustment strategy based on the marked risk area.

[0013] Optionally, a target adjustment strategy is screened out from at least one adjustment strategy, including: obtaining evaluation sub-scores corresponding to the adjustment strategies in multiple evaluation dimensions respectively; determining the evaluation score of the adjustment strategy based on the evaluation sub-scores of the multiple evaluation dimensions; and determining the adjustment strategy with a higher evaluation score threshold among the multiple evaluation scores as the target adjustment strategy.

[0014] Optionally, the adjustment result is evaluated to obtain an evaluation result, including: generating a preview video simulating the adjustment result, and marking key areas that affect the safety status in the preview video; and evaluating the preview video and the key areas to obtain an evaluation result.

[0015] According to another aspect of an embodiment of the present invention, a device for adjusting obstacles around a transmission line is also provided. The device may include: an identification unit, used to identify attribute information of at least one obstacle around the transmission line, wherein the attribute information is used to indicate whether the obstacle affects the safety state of the transmission line; a first determination unit, used to determine at least one target obstacle whose attribute information exceeds the attribute information threshold from at least one obstacle; a second determination unit, used to determine at least one adjustment strategy for the target obstacle based on a three-dimensional model around the transmission line, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in the spatial dimension, and the adjustment strategy is used to represent the rule for adjusting the target obstacle; a screening unit, used to screen out a target adjustment strategy from at least one adjustment strategy, and adjust the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose influence degree on the safety state is lower than the influence degree threshold; an evaluation unit, used to evaluate the adjustment result to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets the actual operation requirements.

[0016] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing any one of the above-mentioned methods for evaluating obstacles around transmission lines.

[0017] According to another aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any one of the above-mentioned methods for evaluating obstacles around transmission lines.

[0018] In an embodiment of the present invention, if it is necessary to adjust an obstacle, the attribute information of at least one obstacle around the transmission line can be identified; at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from at least one obstacle; at least one adjustment strategy for the target obstacle can be determined based on the three-dimensional model around the transmission line; a target adjustment strategy can be screened out from at least one adjustment strategy, and the corresponding target obstacle can be adjusted according to the target adjustment strategy to obtain an adjustment result; the adjustment result can be evaluated to obtain an evaluation result. In this embodiment, by identifying whether the obstacle around the transmission line affects the safety state of the transmission line, when the obstacle poses a threat to the safety of the transmission line, the corresponding adjustment strategy can be determined based on the three-dimensional model around the transmission line, and the target obstacle can be adjusted, thereby evaluating the adjustment result, judging whether the corresponding adjustment strategy meets the actual operation requirements, avoiding the potential safety hazard to the transmission line caused by inaccurate obstacle adjustment, thereby achieving the technical effect of improving the accuracy of obstacle adjustment and solving the technical problem of low accuracy of obstacle adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for evaluating obstacles around a transmission line according to an embodiment of the present invention;

[0021] Figure 2 is a schematic diagram of a real-time monitoring system for tree obstacles on power transmission lines based on the fusion of video stream and three-dimensional geographic information system according to an embodiment of the present invention;

[0022] Figure 3 is a schematic structural diagram of a device for evaluating obstacles around a power transmission line according to an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of an electronic device for a method for evaluating obstacles around a power transmission line according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Example 1

[0027] According to an embodiment of the present invention, an embodiment of a method for evaluating obstacles around a transmission line is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] Figure 1 is a flow chart of a method for evaluating obstacles around a transmission line according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0029] Step S102: identifying attribute information of at least one obstacle around the power transmission line.

[0030] In the technical solution provided in the above step S102 of the present invention, the attribute information is used to indicate whether the obstacle affects the safety status of the transmission line, for example, it can be the relative position, shape, size and other attributes of the obstacle. Among them, the obstacle can be an object around the transmission line that may affect the safety of the transmission line, for example, it can be a tree. If the obstacle is a tree, it can be called a tree barrier.

[0031] In this embodiment, if it is necessary to determine whether at least one obstacle around the transmission line will affect the safety status of the transmission line, the attribute information of the obstacles around the transmission line can be identified, and the identified attribute information can be used to evaluate whether the corresponding obstacle poses a threat to the transmission line. Optionally, the obstacle may pose a threat to the transmission line in the case of physical contact between the obstacle and the transmission line, the obstacle blocking the line of sight of the transmission line, the obstacle causing structural damage to the transmission line, etc. The above situations may cause potential safety hazards to the transmission line. However, by identifying the above attribute information, this embodiment can help the staff of the transmission line to promptly discover and adjust the corresponding obstacles to solve the above safety hazards and ensure the normal operation of the transmission line.

[0032] Optionally, in this embodiment, the attribute information of the obstacle can be identified by monitoring the obstacle with equipment such as drones and lidar to collect the corresponding attribute information, or the attribute information of the obstacle can be obtained through manual inspections and on-site investigations.

[0033] It should be noted that the above-mentioned method for identifying the attribute information of obstacles is only an example of an embodiment of the present invention, but does not limit the method for identifying the attribute information of obstacles in the embodiment of the present application to only through drones, lidar, manual inspections and on-site investigations. As long as the method can be used to identify the attribute information of obstacles, it is within the protection scope of the embodiment of the present invention. For example, attribute information can also be identified through computer vision technology, lidar, point cloud processing, machine learning classifiers, etc., and examples will not be given one by one here.

[0034] Step S104: determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle.

[0035] In the technical solution provided in the above step S104 of the present invention, after identifying the attribute information of at least one obstacle around the transmission line, at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from the at least one obstacle.

[0036] In this embodiment, the attribute information threshold can be used as an indicator to determine whether an obstacle poses a safety threat to the transmission line. If the obstacle is a tree, the attribute information threshold can be used to determine whether the tree poses a safety threat to the transmission line, and can be used to measure whether there is a tree obstacle risk on the transmission line at this time. It can be pre-set according to various factors such as the safety specifications of the transmission line, environmental conditions, historical data analysis, etc., and can also be set according to the obstacles that need to be evaluated and adjusted, as well as the actual situation of the transmission line. It should be noted that the setting of the above-mentioned attribute information threshold is only for example and is not specifically limited here. As long as it is an indicator that can be used to determine whether an obstacle poses a safety threat to the transmission line, it is within the protection scope of the embodiment of the present invention.

[0037] Optionally, if the obstacle is a tree, the target obstacle can be determined by judging whether the attribute information of the tree exceeds the attribute information threshold. If the attribute information of the tree exceeds the attribute information threshold, it can be said that the tree poses a threat to the safe operation of the transmission line, and there may be a tree obstacle risk in the transmission line, and the tree posing a threat to the transmission line can be determined as a target obstacle. If the attribute information of the tree does not exceed the attribute information threshold, it can be said that the tree does not pose a threat to the safe operation of the transmission line, and there is no tree obstacle risk in the transmission line, and the tree is not a target obstacle.

[0038] Step S106, determining at least one adjustment strategy for the target obstacle based on the three-dimensional model around the power transmission line.

[0039] In the technical solution provided in the above step S106 of the present invention, after determining at least one target obstacle whose attribute information exceeds the attribute information threshold from at least one obstacle, at least one adjustment strategy for the target obstacle can be determined based on the three-dimensional model around the transmission line. The three-dimensional model can be used to represent the characteristics of the transmission line and the obstacle in the spatial dimension. The three-dimensional model can be a three-dimensional Geographic Information System (GIS) model. The adjustment strategy is used to represent the rules for adjusting the target obstacle. If the target obstacle is a tree, the adjustment strategy can be a tree pruning plan.

[0040] Optionally, before determining at least one adjustment strategy for the target obstacle, in order to ensure the accuracy of the adjustment strategy, the growth state of the obstacles around the transmission line, as well as the real-time weather conditions and environmental factors of the environment in which the transmission line is located, can be monitored. By monitoring the above conditions, it can be ensured that the determined adjustment strategy can be more in line with the actual situation of the current transmission line, so as to achieve the purpose of improving the accuracy of the adjustment strategy. For example, the real-time video stream data of the transmission line and the surrounding obstacles can be collected to provide the situation of the transmission line and its surrounding environment.

[0041] Optionally, the collected real-time video stream data can be input into the initial three-dimensional GIS model, and the initial three-dimensional GIS model can be updated by implementing the video stream data, that is, the spatial position relationship between the transmission line and the obstacle, the size, shape and inclination angle of the obstacle, etc. are analyzed from the real-time video stream data to build a three-dimensional GIS model that is more in line with the actual transmission line and its surrounding environment. By building a high-precision three-dimensional GIS model of the transmission line and its surrounding environment, integrating multi-dimensional information on terrain, landform, and vegetation distribution, and storing, updating and managing three-dimensional spatial data, a basis can be provided for subsequent adjustment strategies.

[0042] Optionally, based on the above-determined three-dimensional GIS model and real-time video stream data, a virtual operating environment with a high degree of similarity to the current environment of the power transmission line can be constructed. In the virtual operating environment, the process of adjusting obstacles using different adjustment strategies can be simulated, and whether the obstacles after adjustment have an impact on the safety status of the power transmission line can also be simulated.

[0043] Step S108, selecting a target adjustment strategy from at least one adjustment strategy, and adjusting the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose impact on the safety state is lower than the impact threshold.

[0044] In the technical solution provided in the above step S108 of the present invention, after determining at least one adjustment strategy of the target obstacle based on the three-dimensional model around the transmission line, a target adjustment strategy can be screened out from the at least one adjustment strategy, and the corresponding target obstacle is adjusted according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose impact on the safety state is lower than the impact threshold. The impact threshold can be used to screen the target adjustment strategy from the adjustment strategies.

[0045] In this embodiment, the target adjustment strategy may be an adjustment strategy in which the degree of influence of obstacles on the safety state of the power transmission line is minimized, for example, it may be a tree pruning scheme with appropriate feasibility and effect. The adjustment result may be the implementation effect obtained by adjusting the corresponding target obstacle according to the target adjustment strategy, for example, in the case where the trees grow too dense or tall, the corresponding trees may be pruned according to the tree pruning scheme in which the degree of influence on the safety state of the power transmission line is minimized, so as to avoid the trees growing too dense or tall, which may pose a threat to the safety state of the power transmission line.

[0046] Optionally, by comparing the impact degree of at least one adjustment strategy with an impact degree threshold, a target adjustment strategy whose impact degree on the safety status of the transmission line is lower than the impact degree threshold can be screened out from at least one adjustment strategy, thereby effectively mitigating risks and avoiding the occurrence of unsafe accidents in transmission lines.

[0047] Step S110, evaluating the adjustment result to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets the actual operation requirements.

[0048] In the technical solution provided in the above step S110 of the present invention, after selecting a target adjustment strategy from at least one adjustment strategy, and adjusting the corresponding target obstacle according to the target adjustment strategy, and obtaining the adjustment result, the adjustment result can be evaluated to obtain the evaluation result, and whether the target adjustment strategy meets the actual operation requirements can be judged by the evaluation result. For example, whether the target adjustment strategy is effective, economical and has little impact on the environment.

[0049] In this embodiment, the adjustment results obtained by adjusting the corresponding target obstacle based on the target adjustment strategy can be evaluated, and the operation and maintenance personnel can obtain the degree of influence of different adjustment strategies on the target obstacle according to the evaluation results, so as to more accurately evaluate the adjustment strategy.

[0050] In step S102 to step S110 of the embodiment of the present invention, if the obstacle needs to be adjusted, the attribute information of at least one obstacle around the transmission line can be identified; at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from at least one obstacle; at least one adjustment strategy for the target obstacle can be determined based on the three-dimensional model around the transmission line; the target adjustment strategy can be screened out from the at least one adjustment strategy, and the corresponding target obstacle is adjusted according to the target adjustment strategy to obtain an adjustment result; the adjustment result can be evaluated to obtain an evaluation result. In this embodiment, by identifying whether the obstacle around the transmission line affects the safety state of the transmission line, when the obstacle poses a threat to the safety of the transmission line, the corresponding adjustment strategy can be determined based on the three-dimensional model around the transmission line, and the target obstacle is adjusted, so as to evaluate the adjustment result, judge whether the corresponding adjustment strategy meets the actual operation requirements, avoid the safety hazard to the transmission line caused by inaccurate obstacle adjustment, thereby achieving the technical effect of improving the accuracy of obstacle adjustment and solving the technical problem of low accuracy of obstacle adjustment.

[0051] The embodiment of the present invention is described in detail below in combination with the above steps.

[0052] As an optional embodiment, the method also includes: using an image acquisition device of the transmission line to collect initial video stream data around the transmission line; converting the initial video stream data into video stream data, wherein the quality of the video stream data is higher than the quality of the initial video stream data; the attribute information includes at least geometric feature attributes and position feature attributes, wherein identifying the attribute information of at least one obstacle around the transmission line includes: extracting multiple image frame information from the video stream data, and extracting geometric feature attributes and position feature attributes from the multiple image frame information, wherein the position feature attributes are used to represent the relative position between the transmission line and the obstacle.

[0053] In this embodiment, the image acquisition device of the transmission line can be used to collect the initial video stream data around the transmission line. The initial video stream data can be converted into video stream data to improve the quality of the initial video stream data. Multiple image frame information is extracted from the video stream data, which can be used as a static image input for image recognition and processing. The geometric feature attributes can use computer vision technology to extract features from the image frames to identify the geometric features such as the shape and size of the transmission line and obstacles in the image. The position feature attributes can be used to determine the relative position between the obstacle and the transmission line, and can include information such as the vertical distance and horizontal distance between the obstacle and the transmission line to evaluate whether the obstacle invades the safety area of ​​the transmission line.

[0054] Optionally, the image acquisition device may be a camera. The video stream data may be obtained by the camera through preprocessing operations on the captured initial video stream data, for example, through preprocessing operations such as decoding, denoising, and frame rate adjustment, so as to improve the clarity and continuity of the video stream data and ensure that the quality of the video stream data meets the requirements of subsequent image recognition and processing.

[0055] As an optional embodiment, step S104, determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle, includes: constructing a three-dimensional model of the transmission line using a three-dimensional modeling platform in the spatial dimension of a virtual environment; and determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle based on the three-dimensional model and the attribute information.

[0056] In this embodiment, in the process of determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle, a three-dimensional model of the transmission line can be constructed in the spatial dimension of a virtual environment using a three-dimensional modeling platform; based on the three-dimensional model and the attribute information, at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from at least one obstacle.

[0057] Optionally, the 3D modeling platform can be a 3D modeling software system platform, which constructs a virtual operation environment of the power transmission line according to the video stream data, in which the 3D structure, topography, surrounding vegetation and other information of the power transmission line can be accurately presented.

[0058] For example, the construction effect of the virtual operating environment can be described by the following formula:

[0059] VRE=f(GIS d ×RT d )×ω1+g(S v )×ω2

[0060] Among them, VRE can be used to represent the construction effect of the virtual operating environment; GIS d Can be used to represent 3D GIS model data; RT d It can be used to represent real-time video stream data; f can be used to represent a complex process of fusing 3D GIS model data and real-time video stream data; ω1 can be used to represent the weight of video stream data integration on virtual environment construction, indicating the importance of video stream data integration in the entire virtual environment construction; S v It can be used to represent the characteristics and parameters of a 3D modeling software system; g can be used to represent a process of building a virtual environment based on the characteristics of a 3D modeling software system, reflecting how the 3D modeling software system builds a virtual operating environment based on its own parameters and input data; ω2 can be used to represent the weight of the 3D modeling software system characteristics on the construction of the virtual environment.

[0061] As an optional embodiment, before determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle based on the three-dimensional model and attribute information, the method also includes: determining the obstacle height of the obstacle, the distance information between the obstacle and the transmission line, the size of the obstacle, and the safety area of ​​the transmission line based on the three-dimensional model and the attribute information; determining impact index data of the obstacle on the safety status based on the obstacle height, distance information, size of the obstacle, and safety area, wherein the impact index data is used to indicate the degree of impact of the obstacle on the safety status; in response to the impact index data exceeding the impact index data threshold, determining the risk index of the obstacle based on the obstacle height and radius information of the obstacle, wherein the risk index is used to indicate the severity of the impact of the obstacle on the safety status.

[0062] In this embodiment, before determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one obstacle based on the three-dimensional model and attribute information, the obstacle height, the distance information between the obstacle and the transmission line, the size of the obstacle, and the safety area of ​​the transmission line can be determined based on the three-dimensional model and attribute information; the impact index data of the obstacle on the safety state of the transmission line can be determined based on the obstacle height, distance information, size of the obstacle, and safety area; the risk index of the obstacle can be determined based on the obstacle height and radius information of the obstacle when the impact index data exceeds the impact index data threshold, wherein the impact index data is used to indicate the degree of impact of the obstacle on the safety state. The risk index is used to indicate the severity of the impact of the obstacle on the safety state.

[0063] Optionally, the height of the obstacle can be calculated using the height information in the three-dimensional model and the image features extracted from the video stream data. The distance information between the obstacle and the transmission line can be accurately calculated using the three-dimensional GIS model. The size of the obstacle (such as crown area, tree diameter, etc.) can be used to assess the growth trend of the obstacle and the possible impact on the transmission line. The safe area of ​​the transmission line can be preset based on factors such as the voltage level and environmental conditions of the transmission line. The impact indicator data is a comprehensive indicator that can be used to quantify the degree of impact of obstacles on the safety status of the transmission line. The impact indicator data threshold can be used to distinguish which obstacles have an impact on the safety of the transmission line by presetting a threshold.

[0064] Optionally, if the impact index data of the obstacle exceeds the impact index data threshold, the risk index of the obstacle can be calculated. The risk index combines factors such as the height and radius information (such as the crown radius) of the obstacle, and can more accurately quantify the impact of the obstacle on the safety status of the transmission line, helping power operation and maintenance personnel to quickly identify and respond to potential risks, formulate effective treatment plans, ensure the stable operation of the transmission line, and reduce maintenance costs and environmental impact.

[0065] For example, by comparing with the spatial position of the transmission line, it can be determined whether there is a tree barrier risk. The tree barrier risk index can be determined by the following formula:

[0066]

[0067] Among them, h T Can be used to indicate the height of trees; r T It can be used to indicate the radius of the tree crown; k1 and k2 can be used to indicate weight coefficients; and R can be used to indicate the tree barrier risk index.

[0068] When R>0.5, it means there is a high risk of tree barrier, and when R≤0.5, it means there is no tree barrier risk.

[0069] When a tree obstacle risk is detected, the risk area can be marked in the virtual environment. The process can be described by the following formula:

[0070]

[0071] Among them, t i It can be used to represent the time interval of the i-th moment.

[0072] When M(P)>0.5, the point P can be marked as a risk area.

[0073] As an optional embodiment, based on the three-dimensional model and attribute information, determining whether the attribute information exceeds the attribute information threshold includes: in response to the risk index exceeding the risk index threshold, determining that the attribute information exceeds the attribute information threshold; in response to the risk index not exceeding the risk index threshold, determining that the attribute information does not exceed the attribute information threshold.

[0074] In this embodiment, in the process of determining whether the attribute information exceeds the attribute information threshold based on the three-dimensional model and attribute information, if the risk index exceeds the risk index threshold, it can be determined that the attribute information exceeds the attribute information threshold; if the risk index does not exceed the risk index threshold, it can be determined that the attribute information does not exceed the attribute information threshold.

[0075] Optionally, when the risk index exceeds the risk index threshold, that is, R>0.5, it can be determined that the attribute information exceeds the attribute information threshold.

[0076] As an optional embodiment, step S106, based on the three-dimensional model around the transmission line, determines at least one adjustment strategy for the target obstacle, including: in response to the risk index exceeding the risk index threshold, determining the risk area of ​​the transmission line, wherein the risk area is used to represent an area where the severity of the risk caused by the obstacle and the safety status is high; in the three-dimensional model, marking the risk area, and determining at least one adjustment strategy based on the marked risk area.

[0077] In this embodiment, in the process of determining at least one adjustment strategy for the target obstacle based on the three-dimensional model around the transmission line, the risk index may exceed the risk index threshold to determine the risk area of ​​the transmission line, which may be an area where the severity of the risk caused by the obstacle to the safety status is high; in the three-dimensional model, the risk area may be marked, and at least one adjustment strategy may be determined based on the marked risk area.

[0078] Optionally, the risk area is marked in the three-dimensional model, that is, the risk area is marked in the virtual environment.

[0079] As an optional embodiment, step S108, screening out a target adjustment strategy from at least one adjustment strategy, includes: obtaining evaluation sub-scores corresponding to the adjustment strategies in multiple evaluation dimensions; determining the evaluation score of the adjustment strategy based on the evaluation sub-scores of the multiple evaluation dimensions; and determining the adjustment strategy with a higher evaluation score threshold among the multiple evaluation scores as the target adjustment strategy.

[0080] In this embodiment, in the process of screening out a target adjustment strategy from at least one adjustment strategy, the evaluation sub-scores corresponding to the adjustment strategies in multiple evaluation dimensions can be obtained; the evaluation score of the adjustment strategy can be determined based on the evaluation sub-scores of the multiple evaluation dimensions; and the adjustment strategy with a higher evaluation score threshold among the multiple evaluation scores can be determined as the target adjustment strategy.

[0081] Optionally, the evaluation dimension can comprehensively measure the feasibility and effectiveness of the adjustment strategy. For each adjustment strategy, based on the performance of the adjustment strategy in multiple evaluation dimensions, an intelligent algorithm can be selected according to the evaluation requirements, and the selected algorithm can be applied to the evaluation of the adjustment strategy. According to the simulation analysis results and the evaluation criteria, the evaluation sub-score of each adjustment strategy is calculated. The intelligent algorithm can be used to conduct a comprehensive evaluation of each adjustment strategy, and the evaluation score of each adjustment strategy in multiple evaluation dimensions can be calculated. According to the evaluation score, the adjustment strategy with a score higher than the evaluation score threshold can be screened out and determined as the target adjustment strategy.

[0082] As an optional embodiment, step S110, evaluating the adjustment result to obtain an evaluation result, includes: generating a preview video simulating the adjustment result, and marking key areas that affect the safety status in the preview video; evaluating the preview video and the key areas to obtain an evaluation result.

[0083] In this embodiment, in the process of evaluating the adjustment results and obtaining the evaluation results, a preview video simulating the adjustment results can be generated, and key areas that affect the safety status can be marked in the preview video; the preview video and key areas are evaluated to obtain the evaluation results.

[0084] Optionally, during the preview of the video, the key areas that have changed due to the adjustment strategy can be automatically identified through image recognition and processing technology, and the above key areas can affect the safety status of the transmission line. The preview video and the key areas can be analyzed to evaluate the impact on the safety status of the transmission line after the adjustment.

[0085] In an embodiment of the present invention, if it is necessary to adjust an obstacle, the attribute information of at least one obstacle around the transmission line can be identified; at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from at least one obstacle; at least one adjustment strategy for the target obstacle can be determined based on the three-dimensional model around the transmission line; a target adjustment strategy can be screened out from at least one adjustment strategy, and the corresponding target obstacle is adjusted according to the target adjustment strategy to obtain an adjustment result; the adjustment result can be evaluated to obtain an evaluation result. In this embodiment, by identifying whether the obstacle around the transmission line affects the safety state of the transmission line, when the obstacle poses a threat to the safety of the transmission line, the corresponding adjustment strategy can be determined based on the three-dimensional model around the transmission line, the target obstacle is adjusted, and then the adjustment result is evaluated to determine whether the corresponding adjustment strategy meets the actual operation requirements, thereby avoiding safety hazards to the transmission line caused by inaccurate obstacle adjustment, thereby achieving the technical effect of improving the accuracy of obstacle adjustment and solving the technical problem of low accuracy of obstacle adjustment.

[0086] Example 2

[0087] Another optional specific implementation is described in detail below.

[0088] At present, as an important infrastructure for power transmission, the safety and stability of transmission lines are directly related to the overall operation quality of the power grid. However, transmission lines often pass through complex and changeable natural environments, especially forests and mountainous areas, and tree growth has become one of the main factors affecting the safety of transmission lines. Insufficient safety distance between trees and transmission lines may cause short circuits and tripping faults, and in severe cases, cause large-scale power outages, which have a huge impact on social production and residents' lives.

[0089] In the related technologies, there are still many deficiencies in the traditional transmission line operation and maintenance management. The traditional image recognition technology is limited by the recognition accuracy and algorithm complexity, and it is difficult to accurately identify the relative position and growth status between trees and transmission lines, and it is impossible to determine whether there is a tree barrier risk. When a tree barrier risk is detected, the operation and maintenance personnel cannot intuitively simulate the impact of different treatment solutions on the transmission line.

[0090] The embodiment of the present invention proposes a real-time monitoring system for tree obstacles of power transmission lines based on the fusion of video stream and three-dimensional GIS. The system collects video stream data of the surrounding area of ​​the power transmission lines in real time through a high-definition camera network, and combines image recognition and processing technology to automatically identify the relative position and growth status of trees and power transmission lines, and quickly identify potential tree obstacle risks, thereby achieving the technical effect of improving the accuracy of obstacle adjustment and solving the technical problem of low accuracy of obstacle adjustment.

[0091] The method is further described below.

[0092] In this embodiment, Figure 2 is a schematic diagram of a real-time monitoring system for tree obstacles on power transmission lines based on the fusion of video stream and three-dimensional geographic information system according to an embodiment of the present invention. Figure 2 As shown, the transmission line tree barrier real-time monitoring system 200 may include: a video stream real-time monitoring module 201, a three-dimensional GIS modeling and data management module 202, a virtual environment construction and simulation operation module 203, a decision support and optimization recommendation module 204 and a video stream feedback and effect preview module 205.

[0093] The video stream real-time monitoring module 201 can use a high-definition camera network to cover the area surrounding the power transmission line, collect video stream data in real time, and automatically identify the relative position and growth status of trees and power transmission lines through image recognition and processing technology, so as to quickly identify potential tree obstacle risks.

[0094] The three-dimensional GIS modeling and data management module 202 builds a high-precision three-dimensional GIS model of the transmission line and the surrounding environment, integrating multi-dimensional information on terrain, landforms, and vegetation distribution. This module can store, update, and manage three-dimensional spatial data, providing a basis for subsequent simulation analysis and decision support.

[0095] The virtual environment construction and simulation operation module 203 constructs a virtual operation environment of the transmission line based on the three-dimensional GIS model and real-time video stream data. When a tree obstacle risk is detected, the operation and maintenance personnel can simulate different tree pruning schemes in the virtual environment and dynamically calculate and display the impact of each scheme on the transmission line based on the spatial data in the three-dimensional GIS.

[0096] The decision support and optimization recommendation module 204 can combine the simulation analysis results and use intelligent algorithms to evaluate the feasibility and effectiveness of each solution to provide scientific decision support for operation and maintenance personnel. At the same time, according to preset evaluation criteria, it can automatically recommend appropriate processing solutions to reduce maintenance costs and risks.

[0097] The video stream feedback and effect preview module 205 can use video streaming technology to intuitively display the expected effects after the simulation operation to the operation and maintenance personnel in the form of video, so that the operation and maintenance personnel can more intuitively understand and evaluate the implementation effects of different plans, and further enhance the scientificity and accuracy of decision-making.

[0098] Optionally, the video stream real-time monitoring module 201 can select a camera with high definition, wide-angle vision and night vision function according to the environmental characteristics of the area around the transmission line, and deploy the camera at the key nodes of the transmission line and the potential tree obstacle risk area to ensure that the camera can fully cover the target area. At the same time, a stable network connection is established to support the real-time transmission of video stream data. The camera can continuously capture the video screen of the area around the transmission line, and transmit the video stream data to the monitoring center or cloud server through the network. The monitoring center or cloud server performs decoding, denoising, and frame rate adjustment preprocessing operations on the received video stream data to ensure the quality and continuity of the video stream data. Image frames can be continuously extracted from the video stream data as input for subsequent image recognition and processing. Computer vision technology can be used to extract features from image frames to identify trees and key objects of transmission lines in the image. Based on the extracted features, the trees and transmission lines in the image are identified and located, and the relative position, shape, and size attributes can be determined. By comparing historical image data and analyzing the growth rate and trend of trees, it is possible to assess whether they may pose a threat to the transmission line. Potential tree barrier risks can be assessed by combining the growth status of trees, their relative position to transmission lines, and the safety distance standards for transmission lines. Once a potential tree barrier risk is identified, an alarm mechanism can be triggered to notify the operation and maintenance personnel through sound or light signals or by sending text messages or emails. Real-time monitoring video stream data, image recognition results, and key information of risk assessment reports can be recorded and stored in a database for subsequent query and analysis. Regular backup of stored video stream data can ensure the security and integrity of video stream data.

[0099] Optionally, the three-dimensional GIS modeling and data management module 202 can specify the data types that need to be collected, including but not limited to terrain data, geomorphic features, vegetation distribution, and transmission line parameters. Data can be collected in a variety of ways using remote sensing technology, GIS field surveys, and existing databases, and the collected data can be cleaned, format converted, and coordinate unified preprocessing operations can be performed to ensure data quality and compatibility. A three-dimensional model of the terrain can be constructed based on a digital elevation model (Digital Elevation Model, referred to as DEM) using GIS software or three-dimensional modeling software to show terrain undulations and geomorphic features. The morphology and distribution of trees and bushes can be simulated in a three-dimensional environment based on vegetation distribution data, and seasonal changes and growth cycles of vegetation can be considered. According to the tower position and line direction parameters of the transmission line, the geometric morphology of the transmission line can be accurately constructed in the three-dimensional model. Integrating terrain, vegetation, and transmission line models into a unified three-dimensional GIS environment can ensure the spatial relationship and interactivity between the elements. By designing a reasonable database structure, three-dimensional spatial data, attribute data, and metadata can be stored. Importing 3D models and attribute data into the database and establishing indexes and relationship tables can improve data retrieval and management efficiency. By establishing a data update mechanism, the 3D GIS model can be corrected and updated regularly or as needed to ensure the timeliness and accuracy of the data. At the same time, data backup and recovery strategies can be implemented to ensure data security. Using 3D GIS models for various simulation analyses, based on the results of simulation analysis, decision support can be provided for the planning, design, operation and maintenance of transmission lines, improving the scientificity and accuracy of decision-making.

[0100] Optionally, the virtual environment construction and simulation operation module 203 can collect data related to the three-dimensional GIS model, including but not limited to the geographic coordinates of the transmission line, the line direction, and the spatial information of the tower position. By installing a camera near the transmission line, the surrounding environment of the line is photographed in real time, and the three-dimensional GIS model data and the real-time video stream data are integrated to ensure the compatibility of the data format. Using the three-dimensional modeling software system platform, a virtual operation environment of the transmission line is constructed according to the integrated data, in which the three-dimensional structure, topography, and surrounding vegetation information of the transmission line can be accurately presented. The real-time video stream data is processed by image recognition to identify trees that may pose a threat to the transmission line, and the location, height, and crown size characteristics of the trees can be analyzed. By comparing with the spatial position of the transmission line, it can be determined whether there is a tree barrier risk. When a tree barrier risk is detected, the risk area is marked in the virtual environment. At the same time, an early warning message can be issued to notify the operation and maintenance personnel to handle it. The operation and maintenance personnel design different tree pruning plans according to the tree barrier situation in the virtual environment, and can use virtual tools to simulate the pruning operation of the trees. Considering different pruning angles and pruning degree factors, a variety of feasible plans can be formulated. The physical engine is used to simulate the physical changes of trees after pruning. According to the spatial data in the 3D GIS, and by calculating the distance and angle parameters between the pruned trees and the transmission lines, the impact of various schemes on the transmission lines is evaluated. The impact of various pruning schemes on the transmission lines can be dynamically displayed in a virtual environment, and the pruning process and the safety status of the transmission lines after pruning can be presented in the form of animation.

[0101] Optionally, the 3D GIS model data is integrated with the real-time video stream data to ensure the compatibility of the data formats. Using the 3D modeling software system platform, the construction effect of the virtual operating environment can be described by the following formula:

[0102] VRE=f(GIS d ×RT d )×ω1+g(S v )×ω2

[0103] Among them, VRE can be used to represent the construction effect of the virtual operating environment; GIS d Can be used to represent 3D GIS model data; RT d It can be used to represent real-time video stream data; f can be used to represent a complex process of fusing 3D GIS model data and real-time video stream data; ω1 can be used to represent the weight of video stream data integration on virtual environment construction, indicating the importance of video stream data integration in the entire virtual environment construction; S vIt can be used to represent the characteristics and parameters of a 3D modeling software system; g can be used to represent a process of building a virtual environment based on the characteristics of a 3D modeling software system, reflecting how the 3D modeling software system builds a virtual operating environment based on its own parameters and input data; ω2 can be used to represent the weight of the 3D modeling software system characteristics on the construction of the virtual environment.

[0104] Optionally, a virtual operating environment for the transmission line can be constructed to accurately present the three-dimensional structure, topography, and surrounding vegetation information of the transmission line. In the virtual environment, trees that may pose a threat to the transmission line can be identified through image recognition technology:

[0105]

[0106] Among them, T r It can be used to represent the comprehensive index of the threat posed by trees to transmission lines; t1 and t2 can be used to represent different time intervals of video stream data; I(t) can be used to represent the pixel information function of the video image at time t, which contains all the original data of the image; S p (T) can be used to represent a characteristic coefficient function related to the tree species. Different types of trees may pose different threats to transmission lines. h(T) can be used to represent the height of the tree. d(T, L) can be used to represent the distance between the tree and the transmission line. It can be used to represent the proportional relationship between the height of trees and the distance to the transmission line. The closer the distance and the taller the trees, the greater the threat. c(T) can be used to represent the size of the tree canopy. a(L) can be used to represent the safe area around the transmission line. It can be used to measure the proportion of tree crowns in the safe area. The larger the tree crown and the larger its proportion in the safe area, the greater the threat.

[0107] Optionally, by comparing with the spatial position of the transmission line, it can be determined whether there is a tree barrier risk, and the tree barrier risk index can be determined by the following formula:

[0108]

[0109] Among them, h T Can be used to indicate the height of a tree; r T It can be used to indicate the radius of the tree crown; k1 and k2 can be used to indicate weight coefficients; and R can be used to indicate the tree barrier risk index.

[0110] When R>0.5, it means there is a high risk of tree barrier, and when R≤0.5, it means there is no tree barrier risk.

[0111] Optionally, the location, height, and crown size characteristics of the trees are analyzed. When a tree obstacle risk is detected, the risk area can be marked in the virtual environment, which can be described by the following formula:

[0112]

[0113] Among them, t i It can be used to represent the time interval of the i-th moment.

[0114] When M(P)>0.5, the point P can be marked as a risk area, and an early warning message will be issued to notify the operation and maintenance personnel. The operation and maintenance personnel will design different tree pruning schemes in a virtual environment, use virtual tools to simulate pruning operations, use a physical engine to simulate physical changes after pruning, and evaluate the impact of each scheme on the transmission line.

[0115] In an embodiment of the present invention, if it is necessary to adjust an obstacle, the attribute information of at least one obstacle around the transmission line can be identified; at least one target obstacle whose attribute information exceeds the attribute information threshold can be determined from at least one obstacle; at least one adjustment strategy for the target obstacle can be determined based on the three-dimensional model around the transmission line; a target adjustment strategy can be screened out from at least one adjustment strategy, and the corresponding target obstacle is adjusted according to the target adjustment strategy to obtain an adjustment result; the adjustment result can be evaluated to obtain an evaluation result. In this embodiment, by identifying whether the obstacle around the transmission line affects the safety state of the transmission line, when the obstacle poses a threat to the safety of the transmission line, the corresponding adjustment strategy can be determined based on the three-dimensional model around the transmission line, the target obstacle is adjusted, and then the adjustment result is evaluated to determine whether the corresponding adjustment strategy meets the actual operation requirements, thereby avoiding safety hazards to the transmission line caused by inaccurate obstacle adjustment, thereby achieving the technical effect of improving the accuracy of obstacle adjustment and solving the technical problem of low accuracy of obstacle adjustment.

[0116] Example 3

[0117] The embodiment of the present invention provides a device for evaluating obstacles around a power transmission line. It should be noted that the device for evaluating obstacles around a power transmission line in the embodiment of the present invention can be used to perform Figure 1 The method for evaluating obstacles around a power transmission line provided in the embodiment of the present invention is described below. The device for evaluating obstacles around a power transmission line provided in the embodiment of the present invention is described below.

[0118] Figure 3 is a schematic diagram of an evaluation device for obstacles around a transmission line according to an embodiment of the present invention. Figure 3As shown, the device 300 for evaluating obstacles around a power transmission line may include: an identification unit 302 , a first determination unit 304 , a second determination unit 306 , a screening unit 308 and an evaluation unit 310 .

[0119] The identification unit 302 is used to identify attribute information of at least one obstacle around the power transmission line, wherein the attribute information is used to indicate whether the obstacle affects the safety status of the power transmission line.

[0120] The first determining unit 304 is configured to determine, from the at least one obstacle, at least one target obstacle whose attribute information exceeds an attribute information threshold.

[0121] The second determination unit 306 is used to determine at least one adjustment strategy for the target obstacle based on the three-dimensional model around the transmission line, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in the spatial dimension, and the adjustment strategy is used to represent the rules for adjusting the target obstacle.

[0122] The screening unit 308 is used to screen out a target adjustment strategy from at least one adjustment strategy, and adjust the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose impact on the safety state is lower than the impact threshold.

[0123] The evaluation unit 310 is used to evaluate the adjustment result to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets the actual operation requirements.

[0124] The obstacle assessment device around the transmission line provided by the embodiment of the present invention identifies the attribute information of at least one obstacle around the transmission line through the identification unit 302, wherein the attribute information is used to indicate whether the obstacle affects the safety state of the transmission line; determines at least one target obstacle whose attribute information exceeds the attribute information threshold from the at least one obstacle through the first determination unit 304; determines at least one adjustment strategy of the target obstacle based on the three-dimensional model around the transmission line through the second determination unit 306, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in the spatial dimension, and the adjustment strategy is used to represent the rule for adjusting the target obstacle; selects the target adjustment strategy from the at least one adjustment strategy through the screening unit 308, and adjusts the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy with an impact degree on the safety state that is lower than the impact degree threshold; evaluates the adjustment result through the evaluation unit 310 to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets the actual operation requirements, thereby solving the technical problem of low accuracy of obstacle adjustment and achieving the technical effect of improving the accuracy of obstacle adjustment.

[0125] The above-mentioned device for evaluating obstacles around transmission lines may also include a processor and a memory. The above-mentioned units are stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0126] The processor includes a kernel, and the kernel retrieves the corresponding program unit from the memory. One or more kernels can be set to control the same device type of devices to be shut down to perform graceful shutdown by adjusting kernel parameters.

[0127] The above-mentioned memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one storage chip.

[0128] The processor contains a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be set, and the work efficiency of traders can be improved by adjusting the kernel parameters.

[0129] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0130] Example 4

[0131] According to an embodiment of the present invention, there is further provided a computer-readable storage medium having a program stored thereon, and when the program is executed by a processor, a method for evaluating obstacles around a transmission line is implemented.

[0132] Example 5

[0133] According to an embodiment of the present invention, a processor is further provided, and the processor is used to run a program, wherein the program executes a method for evaluating obstacles around a transmission line when the program is run.

[0134] Example 6

[0135] Figure 4 is a schematic diagram of an electronic device for a method for evaluating obstacles around a power transmission line according to an embodiment of the present invention, such as Figure 4 As shown, an embodiment of the present invention further provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, a method for evaluating obstacles around a transmission line is implemented.

[0136] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0137] The present invention also provides a computer program product, which, when executed on a data processing device, is suitable for executing a method for evaluating obstacles around a power transmission line.

[0138] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0139] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, 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 generate 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 flowchart and / or block diagram. 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.

[0140] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 A function specified in one or more boxes.

[0141] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0142] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0143] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0144] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0145] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0146] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0147] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for evaluating obstacles around a transmission line, characterized in that: include: Identifying attribute information of at least one obstacle around a power transmission line, wherein the attribute information is used to indicate whether the obstacle affects the safety status of the power transmission line; Determine at least one target obstacle from the at least one obstacle, the attribute information of which exceeds an attribute information threshold; Determining at least one adjustment strategy for the target obstacle based on a three-dimensional model around the transmission line, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in a spatial dimension, and the adjustment strategy is used to represent a rule for adjusting the target obstacle; Filtering out a target adjustment strategy from at least one of the adjustment strategies, and adjusting the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose degree of influence on the safety state is lower than an influence degree threshold; The adjustment result is evaluated to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets actual operation requirements.

2. The evaluation method according to claim 1, characterized in that: The method further comprises: Using the image acquisition device of the power transmission line, collecting initial video stream data around the power transmission line; converting the initial video stream data into the video stream data, wherein the quality of the video stream data is higher than the quality of the initial video stream data; The attribute information includes at least a geometric feature attribute and a position feature attribute, wherein the attribute information of identifying at least one obstacle around the transmission line includes: A plurality of image frame information is extracted from the video stream data, and the geometric feature attribute and the position feature attribute are extracted from the plurality of image frame information, wherein the position feature attribute is used to represent the relative position between the transmission line and the obstacle.

3. The evaluation method according to claim 1, characterized in that: Determining at least one target obstacle whose attribute information exceeds an attribute information threshold from at least one of the obstacles comprises: In the spatial dimension of the virtual environment, using a three-dimensional modeling platform, constructing the three-dimensional model of the transmission line; Based on the three-dimensional model and the attribute information, at least one target obstacle whose attribute information exceeds the attribute information threshold is determined from at least one obstacle.

4. The evaluation method according to claim 3, characterized in that: Before determining, based on the three-dimensional model and the attribute information, from at least one obstacle, at least one target obstacle whose attribute information exceeds the attribute information threshold, the method further includes: Determine, based on the three-dimensional model and the attribute information, the obstacle height of the obstacle, the distance information between the obstacle and the transmission line, the size of the obstacle, and the safety area of ​​the transmission line; Determining, based on the obstacle height, the distance information, the size of the obstacle, and the safety area, impact index data of the impact of the obstacle on the safety state, wherein the impact index data is used to indicate the degree of impact of the obstacle on the safety state; In response to the impact indicator data exceeding the impact indicator data threshold, a risk index of the obstacle is determined based on the obstacle height and the radius information of the obstacle, wherein the risk index is used to indicate the severity of the obstacle affecting the safety status.

5. The evaluation method according to claim 4, characterized in that: Determining, based on the three-dimensional model and the attribute information, whether the attribute information exceeds the attribute information threshold includes: In response to the risk index exceeding a risk index threshold, determining that the attribute information exceeds the attribute information threshold; In response to the risk index not exceeding the risk index threshold, it is determined that the attribute information does not exceed the attribute information threshold.

6. The evaluation method according to claim 4, characterized in that: Determining at least one adjustment strategy for the target obstacle based on the three-dimensional model around the transmission line includes: In response to the risk index exceeding a risk index threshold, determining a risk area of ​​the transmission line, wherein the risk area is used to represent an area where the severity of the risk caused by the obstacle and the safety state is high; In the three-dimensional model, the risk area is marked, and based on the marked risk area, at least one adjustment strategy is determined.

7. The evaluation method according to claim 1, characterized in that: Filtering out a target adjustment strategy from at least one of the adjustment strategies includes: Obtaining evaluation sub-scores corresponding to the adjustment strategy in multiple evaluation dimensions respectively; Determining an evaluation score of the adjustment strategy based on the evaluation sub-scores of the plurality of evaluation dimensions; The adjustment strategy having the evaluation scores higher than the evaluation score threshold among the multiple evaluation scores is determined as the target adjustment strategy.

8. The evaluation method according to claim 1, characterized in that: The adjustment result is evaluated to obtain an evaluation result, including: generating a preview video simulating the adjustment result, and marking key areas affecting the safety status in the preview video; The preview video and the key area are evaluated to obtain the evaluation result.

9. An adjustment device for obstacles around a power transmission line, characterized in that: include: an identification unit, used to identify attribute information of at least one obstacle around the power transmission line, wherein the attribute information is used to indicate whether the obstacle affects the safety status of the power transmission line; A first determining unit, configured to determine, from at least one obstacle, at least one target obstacle whose attribute information exceeds an attribute information threshold; a second determining unit, configured to determine at least one adjustment strategy for the target obstacle based on a three-dimensional model of the surroundings of the transmission line, wherein the three-dimensional model is used to represent the characteristics of the transmission line and the obstacle in a spatial dimension, and the adjustment strategy is used to represent a rule for adjusting the target obstacle; a screening unit, configured to screen out a target adjustment strategy from at least one of the adjustment strategies, and adjust the corresponding target obstacle according to the target adjustment strategy to obtain an adjustment result, wherein the target adjustment strategy is an adjustment strategy whose degree of influence on the safety state is lower than an influence degree threshold; An evaluation unit is used to evaluate the adjustment result to obtain an evaluation result, wherein the evaluation result is used to indicate whether the target adjustment strategy meets actual operation requirements.

10. An electronic device comprising a memory and a processor, characterized in that: The memory stores a computer program, and the processor is configured to run the computer program to execute the method for evaluating obstacles around a transmission line according to any one of claims 1 to 8.

11. A processor, characterized in that: The processor is used to run a program, wherein the program, when run by the processor, executes the method for evaluating obstacles around a transmission line according to any one of claims 1 to 8.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for evaluating obstacles around a transmission line according to any one of claims 1 to 8.

13. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the method for evaluating obstacles around a power transmission line according to any one of claims 1 to 8.

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