Index analysis method and system based on electric power data fusion

Abstract

The invention relates to the technical field of power data analysis, in particular to an index analysis method and system based on power data fusion. The method comprises the following steps: acquiring image information of a plurality of tower structures, analyzing the image information of the plurality of tower structures, and determining a tower state model; obtaining an environment influence factor set, analyzing the environment influence factor set based on the tower state model, and determining a tower fault risk; analyzing a tower fault risk and a tower state model, and determining a high-risk node set and a high-risk connection path set; analyzing a high-risk node set and a high-risk connection path set based on a tower fault risk and a tower state model, and determining risk development trend information; determining maintenance suggestions according to the risk development trend information, and outputting the maintenance suggestions for reference of maintenance personnel; according to the method, the negative influence of the maintenance work hysteresis on the maintenance effect is reduced, the maintenance efficiency and the maintenance comprehensiveness are improved, and the high availability of the electric power tower is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of power data analysis, and in particular to an indicator analysis method and system based on power data fusion. Background Art

[0002] Power facilities are the infrastructure of modern society. The stability and reliability of power supply directly affect economic development and social life. With the acceleration of urbanization and the increase in electricity consumption demand, the load of power facilities continues to increase, prompting higher requirements for the stability and reliability of equipment. With the growth of the history of power infrastructure construction, many power towers and their ancillary facilities are facing aging problems, increasing the risk of failure.

[0003] Existing automated inspection technologies for power poles and towers usually assess the safety risks of power poles and towers based on a single dimension of tower structure imaging data collected by helicopters or drones. It is difficult to integrate and analyze data from multiple parties to obtain a more comprehensive and accurate assessment of the safety risks of power poles and towers. As a result, potential safety threats to power poles and towers are difficult to detect in a timely manner, which in turn causes power pole and tower failures and has a negative impact on the stability of power supply. Summary of the invention

[0004] The present application provides an indicator analysis method and system based on power data fusion to solve the above technical problems.

[0005] In a first aspect, the present application provides an indicator analysis method based on power data fusion, the method comprising: Acquire a plurality of pole tower structure image information, analyze the plurality of pole tower structure image information, and determine a pole tower state model; Obtaining a set of environmental influencing factors, analyzing the set of environmental influencing factors based on a tower state model, and determining a tower failure risk; Analyze the tower failure risk and the tower status model to determine a high-risk node set and a high-risk connection path set; Based on the tower failure risk and the tower status model, analyzing the high-risk node set and the high-risk connection path set to determine risk development trend information; Maintenance suggestions are determined based on the risk development trend information, and the maintenance suggestions are output for reference by maintenance personnel.

[0006] Through the above technical scheme, the pole tower structure image information is obtained and analyzed, and a pole tower status model reflecting the pole tower structure status is established, which lays the foundation for subsequent risk assessment and fault prediction, ensures the scientificity and accuracy of the assessment, and comprehensively evaluates the impact of external environmental factors on the pole tower by combining the environmental influencing factor set, thereby identifying potential failure risks and obtaining pole tower failure risk information. By extracting and analyzing the high-risk node set and the high-risk path set, the risk development trend information is determined, and then the maintenance recommendations are determined based on the wind direction development trend information. This not only reduces the negative impact of the lag in maintenance work on the maintenance effect, but also improves the maintenance efficiency and comprehensiveness, ensuring the high availability of power pole towers.

[0007] Optionally, analyzing the plurality of tower structure image information to determine the tower state model includes: Analyze the structural image information of the plurality of towers to determine the connection points of the plurality of tower materials; Analyze the structural image information of the plurality of towers to determine a plurality of connecting tower materials; Determining a set of connection nodes according to the plurality of tower material connections; Determining a set of connection paths according to the plurality of connection tower materials; Based on the image information of the plurality of tower structures, analyzing the plurality of tower material connections and the plurality of connected tower materials to determine a height information set; The tower state model is determined according to the connection node set, the connection path set and the height information set.

[0008] Through the above technical scheme, by analyzing the pole tower structure image information, a number of tower material connections and a number of connected tower materials are determined respectively, and then the number of tower material connections and a number of connected tower materials are abstractly processed to obtain a connection node set and a connection path set. At the same time, by analyzing the pole tower structure image, the height information set is determined, and the pole tower state model is constructed by integrating the connection node set, the connection path set and the height information set, so that the analysis object is converted from a large amount of image data to structured data that is easy to automatically analyze, thereby improving the efficiency of fault risk analysis and significantly reducing the amount of calculation.

[0009] Optionally, the tower state model is determined according to the connection node set, the connection path set and the height information set, specifically by the following formula: ; in, is the tower state model, is the set of connected nodes, For the Connect Node and The connection path between To connect nodes and The number of connection paths between is the height information set.

[0010] Through the above technical scheme, using mathematical analysis methods, on the basis of the connection node set, connection path set and height information set, a formula is designed to describe the construction process of the tower state model, thereby achieving a high degree of abstraction of the tower structure, providing a systematic and detailed analysis framework for the analysis of tower failure risks, and improving the accuracy and efficiency of tower failure risk analysis.

[0011] Optionally, the set of environmental influencing factors includes wind speed change information, wind direction change information, soil settlement, soil vegetation coverage and soil conductivity, and the step of analyzing the set of environmental influencing factors based on the tower state model to determine the tower failure risk includes: Determine the wind speed and wind direction angle according to the wind speed change information and the wind direction change information; Analyze the wind speed and wind direction angle to determine wind force influencing factors; Analyze the soil settlement, the soil vegetation coverage and the soil conductivity to determine geological influencing factors; Based on the tower state model, the tower failure risk is determined according to the wind influencing factors and the geological influencing factors.

[0012] Through the above technical scheme, the changes in wind speed and direction are analyzed, the wind influencing factors are determined, and the impact of wind on the risk of tower failure is accurately evaluated. At the same time, the soil settlement, vegetation coverage and soil conductivity are analyzed, the geological influencing factors are determined, and the impact of the foundation soil stability and bearing capacity on the risk of tower failure is revealed. Combined with the tower state model, the failure risk of the tower under different environmental conditions can be effectively predicted, thereby improving the accuracy and comprehensiveness of the tower failure risk.

[0013] Optionally, the wind speed and wind direction angle are analyzed to determine the wind force influencing factor, specifically the following formula: ; in, is the wind influencing factor, is the standard air density, is the wind speed, is the preset tower resistance coefficient, is the preset adjustment constant, is the wind direction angle.

[0014] Through the above technical solution, mathematical analysis methods are used to design mathematical formulas based on wind speed and wind direction angle to accurately describe the impact of wind force on the risk of power tower failure under the influence of wind speed and wind direction angle, quantify the wind force influencing factors, and improve the accuracy and comprehensiveness of the subsequent power tower failure risks.

[0015] Optionally, the soil settlement, the soil vegetation coverage and the soil conductivity are analyzed to determine the geological influencing factors, specifically the following formula: ; in, For the geological factors mentioned above, To preset the settlement influence weight, is the preset settlement adjustment coefficient, is the soil settlement, is the preset error adjustment coefficient, To preset the vegetation influence weight, is the soil vegetation coverage rate, To preset the maximum vegetation coverage, is the preset vegetation adjustment coefficient, To preset the conductivity influence coefficient, To preset the maximum conductivity, is the soil conductivity, It is the preset conductivity adjustment factor.

[0016] Through the above technical scheme, mathematical analysis methods are used to accurately quantify the influence of soil settlement, soil vegetation coverage and soil conductivity on geological stability through mathematical formulas on the basis of soil settlement, soil vegetation coverage and soil conductivity, and then derive geological influencing factors, which is conducive to the subsequent comprehensive evaluation of the influence of geological stability on the tower foundation, thereby making the subsequent tower failure risk obtained after considering geological stability more accurate.

[0017] Optionally, the tower failure risk is determined based on the tower state model according to the wind influencing factors and the geological influencing factors, specifically the following formula: ; in, is the tower failure risk, is the currently connected node, is the set of connected nodes, is the wind influencing factor, is the height value corresponding to the current connection node in the height information set, For the geological factors mentioned above, is the current connection path, is the connection path set, It is the height value corresponding to the current connection path in the height information set.

[0018] Through the above technical solution, using mathematical analysis methods, by simultaneously considering wind and geological factors, a mathematical formula is designed to provide a comprehensive tower failure risk assessment, ensuring that relevant factors are taken into consideration, improving the accuracy and comprehensiveness of the tower failure risk assessment, and making the obtained tower failure risk data consistent with the actual situation.

[0019] Optionally, analyzing the tower failure risk and the tower status model to determine a high-risk node set and a high-risk connection path set includes: According to the pole tower failure risk and a preset pole tower risk threshold, determining whether the pole tower failure risk exceeds the preset pole tower risk threshold; If the tower failure risk exceeds the preset tower risk threshold, based on the tower failure risk, analyzing the tower state model, determining the failure risk of each of the connection nodes and the connection path, and constructing a failure risk set; Analyze the fault risk set, sort all the fault risks in the fault risk set in reverse order, and determine a number of high-risk nodes and a number of high-risk paths corresponding to a number of the fault risks exceeding a preset node path risk threshold; The high-risk node set and the high-risk connection path set are constructed according to the high-risk nodes and the high-risk paths.

[0020] Through the above technical solution, relying on the tower failure risk and tower status model, a detailed assessment of the failure risks corresponding to all the connection nodes and connection paths that constitute the tower is carried out, and then a set of high-risk connection nodes and a set of high-risk connection paths are constructed. This helps to systematically analyze the propagation path of the failure risk and identify the key nodes that are easily affected, providing an important data basis for the subsequent assessment of the development trend of the failure risk of power towers.

[0021] Optionally, the analyzing the high-risk node set and the high-risk connection path set based on the tower failure risk and the tower status model to determine the risk development trend information includes: Based on the tower failure risk, a mechanical simulation analysis is performed on the high-risk node set and the high-risk connection path set in the tower state model according to a preset mechanical analysis model to determine a mechanical simulation result; The risk development trend information is determined according to the mechanical simulation results.

[0022] Through the above technical scheme, using the preset mechanical analysis model, mechanical simulation analysis is carried out on the high-risk node set and high-risk connection path set in the tower state model, making the risk development trend analysis process of the power tower more systematic and scientific, so that the risk development trend information obtained matches the actual situation of the power tower, so as to improve the accuracy of the risk development trend information.

[0023] In a second aspect, the present application provides an indicator analysis system based on power data fusion, the system comprising: A model building module is used to obtain a plurality of pole tower structure image information, analyze the plurality of pole tower structure image information, and determine a pole tower state model; A risk analysis module is used to obtain a set of environmental influencing factors, analyze the set of environmental influencing factors based on a tower state model, and determine the tower failure risk; A node path analysis module, used to analyze the tower failure risk and the tower state model, and determine a high-risk node set and a high-risk connection path set; A trend analysis module, used to analyze the high-risk node set and the high-risk connection path set based on the tower failure risk and the tower state model, and determine risk development trend information; The output module is used to determine maintenance suggestions according to the risk development trend information, and output the maintenance suggestions for reference by maintenance personnel.

[0024] Optionally, the model building module is specifically used to: Analyze the structural image information of the plurality of towers to determine the connection points of the plurality of tower materials; Analyze the structural image information of the plurality of towers to determine a plurality of connecting tower materials; Determining a set of connection nodes according to the plurality of tower material connections; Determining a set of connection paths according to the plurality of connection tower materials; Based on the image information of the plurality of tower structures, analyzing the plurality of tower material connections and the plurality of connected tower materials to determine a height information set; The tower state model is determined according to the connection node set, the connection path set and the height information set.

[0025] Optionally, when the model building module determines the tower state model according to the connection node set, the connection path set and the height information set, it is specifically the following formula: ; in, is the tower state model, is the set of connected nodes, For the Connect Node and The connection path between To connect nodes and The number of connection paths between is the height information set.

[0026] Optionally, the risk analysis module is specifically used to: Determine the wind speed and wind direction angle according to the wind speed change information and the wind direction change information; Analyze the wind speed and wind direction angle to determine wind force influencing factors; Analyze the soil settlement, the soil vegetation coverage and the soil conductivity to determine geological influencing factors; Based on the tower state model, the tower failure risk is determined according to the wind influencing factors and the geological influencing factors.

[0027] Optionally, when the risk analysis module analyzes the wind speed and wind direction angle to determine the wind force influencing factor, the specific formula is as follows: ; in, is the wind influencing factor, is the standard air density, is the wind speed, is the preset tower resistance coefficient, is the preset adjustment constant, is the wind direction angle.

[0028] Optionally, when the risk analysis module analyzes the soil settlement, the soil vegetation coverage and the soil conductivity to determine the geological influencing factors, the specific formula is as follows: ; in, For the geological factors mentioned above, To preset the settlement influence weight, is the preset settlement adjustment coefficient, is the soil settlement, is the preset error adjustment coefficient, To preset the vegetation influence weight, is the soil vegetation coverage rate, To preset the maximum vegetation coverage, is the preset vegetation adjustment coefficient, To preset the conductivity influence coefficient, To preset the maximum conductivity, is the soil conductivity, It is the preset conductivity adjustment factor.

[0029] Optionally, when the risk analysis module determines the tower failure risk based on the tower state model, according to the wind influencing factors and the geological influencing factors, the specific formula is as follows: ; in, is the tower failure risk, is the currently connected node, is the set of connected nodes, is the wind influencing factor, is the height value corresponding to the current connection node in the height information set, For the geological factors mentioned above, is the current connection path, is the connection path set, It is the height value corresponding to the current connection path in the height information set.

[0030] Optionally, the node path analysis module is specifically used to: According to the pole tower failure risk and a preset pole tower risk threshold, determining whether the pole tower failure risk exceeds the preset pole tower risk threshold; If the tower failure risk exceeds the preset tower risk threshold, based on the tower failure risk, analyzing the tower state model, determining the failure risk of each of the connection nodes and the connection path, and constructing a failure risk set; Analyze the fault risk set, sort all the fault risks in the fault risk set in reverse order, and determine a number of high-risk nodes and a number of high-risk paths corresponding to a number of the fault risks exceeding a preset node path risk threshold; The high-risk node set and the high-risk connection path set are constructed according to the high-risk nodes and the high-risk paths.

[0031] Optionally, the trend analysis module is specifically used to: Based on the tower failure risk, a mechanical simulation analysis is performed on the high-risk node set and the high-risk connection path set in the tower state model according to a preset mechanical analysis model to determine a mechanical simulation result; The risk development trend information is determined according to the mechanical simulation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0033] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flowchart of an indicator analysis method based on power data fusion provided in one embodiment of the present application; Figure 3 A schematic diagram of the structure of an indicator analysis system based on power data fusion provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0037] Existing automated inspection technologies for power poles and towers usually assess the safety risks of power poles and towers based on a single dimension of tower structure imaging data collected by helicopters or drones. It is difficult to integrate and analyze data from multiple parties to obtain a more comprehensive and accurate assessment of the safety risks of power poles and towers. As a result, potential safety threats to power poles and towers are difficult to detect in a timely manner, which in turn causes power pole and tower failures and has a negative impact on the stability of power supply.

[0038] Based on this, the present application provides an indicator analysis method and system based on power data fusion, which acquires and analyzes the pole tower structure image information, establishes a pole tower status model that reflects the pole tower structure status, lays the foundation for subsequent risk assessment and fault prediction, ensures the scientificity and accuracy of the assessment, and comprehensively evaluates the impact of external environmental factors on the pole tower by combining the set of environmental influencing factors, thereby identifying potential fault risks and obtaining pole tower fault risk information. By extracting and analyzing high-risk node sets and high-risk path sets, risk development trend information is determined, and then maintenance recommendations are determined based on wind direction development trend information. This not only reduces the negative impact of maintenance work lags on maintenance effects, but also improves maintenance efficiency and comprehensiveness, thereby ensuring the high availability of power pole towers.

[0039] Figure 1 A schematic diagram of an application scenario provided in the present application, in the process of inspecting power towers by helicopter or drone, the method provided in the present application is applied to accurately assess the risk of power tower failure.

[0040] Specifically, the method of the present application is applied to any server, through which several tower structure image information and environmental influencing factor sets provided by helicopters or drones are obtained, the tower structure image information is analyzed, and a tower state model reflecting the tower structure state is established, which lays the foundation for subsequent risk assessment and fault prediction, ensures the scientificity and accuracy of the assessment, and comprehensively assesses the impact of external environmental factors on the tower by combining the environmental influencing factor set, thereby identifying potential fault risks and obtaining tower fault risk information, and by extracting and analyzing high-risk node sets and high-risk path sets, determining risk development trend information, and then determining maintenance recommendations based on wind direction development trend information, and providing maintenance recommendations to maintenance personnel, which not only reduces the negative impact of maintenance work lag on maintenance results, but also improves maintenance efficiency and comprehensiveness, and ensures high availability of power towers. The specific implementation method can refer to the following embodiments.

[0041] Figure 2 This is a flowchart of an indicator analysis method based on power data fusion provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201, obtaining a plurality of pole tower structure image information, analyzing the plurality of pole tower structure image information, and determining a pole tower state model.

[0042] The pole tower structure image information may be power pole tower image information collected by an image collection device carried by a helicopter or an unmanned aerial vehicle.

[0043] The tower state model may be a mathematical model used to describe the structural state of a power tower.

[0044] Specifically, the means of collecting and analyzing single-dimensional imaging data of power towers by helicopters or drones has the problem of inaccurate and incomplete analysis and evaluation of power towers. At the same time, the analysis of a large amount of imaging data causes the analysis process to be slow and inefficient, resulting in obvious lag in the risk assessment results of power towers based on the single-dimensional imaging data, making it difficult to ensure the high availability of power towers. Therefore, through the edge detection technology and shape analysis technology in image analysis technology, the image information of several tower structures is analyzed, and the structural status of the tower reflected in the imaging data is extracted. Through mathematical analysis, a tower status model is constructed according to the structural status of the tower, and the imaging data is abstracted into structured data to improve the efficiency of tower fault analysis.

[0045] S202: Obtain a set of environmental influencing factors, analyze the set of environmental influencing factors based on a tower state model, and determine the tower failure risk.

[0046] The environmental impact factor set may be a collection of environmental factors that may have a significant impact on the stability of the tower structure. The environmental impact factor set may be obtained by interacting with a helicopter or a drone, a climate data platform, and several environmental factor sensors disposed around the power tower.

[0047] The tower failure risk may be the risk of a power tower failing under the influence of current environmental factors.

[0048] Specifically, the structural stability of power towers is affected not only by the aging of their own structures, but also by the surrounding environmental factors. For example, wind will impose horizontal loads on power towers, thereby affecting the structural stability of power towers. Therefore, when assessing the failure risk of power towers, it is necessary to consider the impact of environmental factors on power towers, so that the assessment results are more in line with the actual use of power towers. Through mathematical analysis, the impact of different environmental factors on the failure risk of towers is quantified, and then the failure risk of power towers under the influence of unit environmental factors is obtained.

[0049] S203: Analyze the tower failure risk and tower status model, and determine a high-risk node set and a high-risk connection path set.

[0050] The high-risk node set may be a node set corresponding to several tower structure connections that have a high risk of causing tower failure in the tower state model.

[0051] The high-risk connection path set may be a connection path set corresponding to several tower material structures having a high risk of causing tower failure in the tower state model.

[0052] Specifically, after obtaining the tower failure risk, in order to better understand the impact of various structures in the tower on the tower failure risk and to predict the development trend of the tower failure risk, a comprehensive analysis of the tower failure wind direction and the tower status model is performed to determine several high-risk nodes and high-risk connection paths in the tower status model, which respectively constitute a high-risk node set and a high-risk connection path, providing an important information basis for the development trend analysis of the tower failure risk.

[0053] S204. Based on the tower failure risk and tower status model, analyze the high-risk node set and the high-risk connection path set to determine the risk development trend information.

[0054] The risk development trend information may be the trend information of the power tower failure risk developing over time under the influence of environmental factors.

[0055] Specifically, there is an objective time delay between the pole tower failure risk assessment time and the maintenance time of the power pole tower maintenance personnel, that is, in the process of discovering and solving risks, there is a natural lag in the maintenance personnel's elimination of power pole tower risks. This leads to the current assessment of power pole tower failure risks and the pole tower failure risks faced by maintenance personnel in the actual maintenance process. There is a difference, resulting in the maintenance personnel's maintenance operations being unable to fully eliminate the pole tower failure risks. Therefore, based on the pole tower failure risk and pole tower status model, a simulation analysis is performed on the high-risk node set and high-risk connection path set in the pole tower status model that cause the power pole tower to face the current pole tower failure risk, so as to obtain the risk development trend information of the power pole tower.

[0056] S205. Determine maintenance suggestions based on the risk development trend information, and output the maintenance suggestions for reference by maintenance personnel.

[0057] The maintenance suggestion may be a suggestion information for maintenance personnel to refer to and eliminate the risk of power tower failure, based on the risk development trend of the power tower.

[0058] Maintenance personnel may be professionals who are responsible for performing maintenance work on power poles and towers.

[0059] Specifically, based on the analysis of risk development trend information, corresponding maintenance suggestions are given to high-risk structures in the power tower structure that cause failures, such as reinforcement, replacement, and strengthening of safety defense. The maintenance suggestions are provided to maintenance personnel through human-computer interaction equipment, such as high-definition display screens, for reference by maintenance personnel, thereby improving maintenance efficiency and maintenance results.

[0060] Through the method provided in this embodiment, the pole tower structure image information is obtained and analyzed, and a pole tower status model reflecting the pole tower structure status is established, which lays the foundation for subsequent risk assessment and fault prediction, ensures the scientificity and accuracy of the assessment, and comprehensively evaluates the impact of external environmental factors on the pole tower by combining the environmental influencing factor set, thereby identifying potential fault risks and obtaining pole tower fault risk information. By extracting and analyzing the high-risk node set and the high-risk path set, the risk development trend information is determined, and then the maintenance recommendations are determined based on the wind direction development trend information, which not only reduces the negative impact of the lag of maintenance work on the maintenance effect, but also improves the maintenance efficiency and comprehensiveness, and ensures the high availability of power pole towers.

[0061] In some embodiments, several tower structure image information are analyzed to determine several tower material connections; several tower structure image information are analyzed to determine several connected tower materials; a connection node set is determined based on the several tower material connections; a connection path set is determined based on the several connected tower materials; based on several tower structure image information, several tower material connections and several connected tower materials are analyzed to determine a height information set; a tower state model is determined based on the connection node set, the connection path set and the height information set.

[0062] The tower material connection point may be a connection point between tower materials on a power pole tower.

[0063] Connection tower materials can be materials and components used to connect and support various parts of power poles and towers to ensure structural stability.

[0064] The connection node set may be a graph node set obtained by abstracting the tower material connections.

[0065] The connection path set may be a graph path set obtained by abstracting the connection tower materials.

[0066] The height information set may be a set including all tower material connections and the corresponding heights of the connected tower materials.

[0067] Specifically, the tower material connections and the corresponding connected tower materials in the image information of several tower structures are identified through the edge detection algorithm and the contour recognition algorithm in the image analysis technology, and then the geometric shape features of the tower material connections and the corresponding connected tower materials are extracted through the feature extraction algorithm. Then, through the data processing tool library, such as NumPy (Numerical Python, numerical calculation library) and Pandas (Panel Data, data analysis library), the above geometric shape features are converted into corresponding feature vectors. After integrating the feature vectors corresponding to all tower material connections and connected tower materials, the connection node set and the connection path set are respectively obtained. At the same time, the positions of several tower material connections and several connected tower materials are analyzed through the image analysis technology to determine the height position corresponding to each tower material connection and the connected tower material, and then the height information set is constructed. Through mathematical analysis means, the connection node set, the connection path set and the height information set are integrated to construct a tower state model.

[0068] Through the method provided in this embodiment, by analyzing the pole tower structure image information, a number of tower material connections and a number of connected tower materials are determined respectively, and then the number of tower material connections and a number of connected tower materials are abstractly processed to obtain a connection node set and a connection path set. At the same time, by analyzing the pole tower structure image, a height information set is determined, and the connection node set, the connection path set and the height information set are integrated to construct a pole tower state model, so that the analysis object is converted from a large amount of image data to structured data that is easy to automatically analyze, thereby improving the efficiency of fault risk analysis and significantly reducing the amount of calculation.

[0069] In some embodiments, the tower state model is determined according to the connection node set, the connection path set and the height information set, specifically the following formula (1): (1); in, is the tower state model, is the set of connected nodes, For the Connect Node and The connection path between To connect nodes and The number of connection paths between A high level of information collection.

[0070] Specifically, through formula (1) Iterate each connection node to build the initial framework of the tower state model, and then The iteration ensures that only the edges of the undirected graph are considered, that is, the connected nodes are not considered repeatedly. and The connection between Expressing connection nodes and The model introduces the diversity of connection paths to make it conform to the actual structure of power towers, that is, there may be multiple connection paths between two connection points. Through the above multiple union operation, the connection node set and the height information set are combined to form a complete multiple undirected graph. , the multiple undirected graph is used as the tower state model to achieve a high degree of abstraction of the tower structure.

[0071] Through the method provided in this embodiment, mathematical analysis methods are used to design a formula to describe the construction process of the tower state model based on the connection node set, the connection path set and the height information set, thereby achieving a high degree of abstraction of the tower structure, providing a systematic and detailed analysis framework for the analysis of tower failure risks, and improving the accuracy and analysis efficiency of tower failure risk analysis.

[0072] In some embodiments, the angle between wind speed and wind direction is determined based on wind speed change information and wind direction change information; the wind speed and wind direction angle are analyzed to determine wind influencing factors; soil settlement, soil vegetation coverage and soil conductivity are analyzed to determine geological influencing factors; based on the tower status model, the tower failure risk is determined based on wind influencing factors and geological influencing factors.

[0073] The set of environmental influencing factors includes wind speed change information, wind direction change information, soil sedimentation, soil vegetation coverage and soil conductivity.

[0074] The wind speed variation information may be information on the variation of wind speed over time in the area where the power tower is located.

[0075] The wind direction change information may be information about the change of wind direction over time in the area where the power tower is located.

[0076] The soil settlement amount may be the settlement amount of the soil at the location where the power tower is fixed.

[0077] The soil vegetation coverage rate may be the vegetation coverage rate of the soil at the location where the power pole tower is fixed.

[0078] The soil conductivity may be the conductivity of the soil at the location where the power tower is fixed.

[0079] The wind direction angle may be the angle formed by the current wind direction and the power tower.

[0080] The wind influencing factor may be information used to describe the degree of influence of wind on the risk of tower failure.

[0081] The geological influencing factor may be information used to describe the degree of influence of geology on the risk of tower failure.

[0082] Specifically, in the process of analyzing the risk of pole tower failure, the factors affecting the risk of pole tower failure are divided into two dimensions, one is the aerial dimension and the other is the ground dimension. The aerial dimension is mainly affected by wind factors, while the ground dimension is mainly affected by geological factors. Specifically, wind speed directly affects the stress condition of the pole tower; higher wind speed will increase the wind load on the pole tower, causing the pole tower to tilt or become unstable; changes in wind direction will lead to different wind load distributions. For example, side wind has a greater impact on the pole tower than tail wind, which can easily cause the structure to shift sideways; soil settlement will affect the stability of the pole tower foundation, causing the pole tower to tilt or shift; vegetation coverage is related to soil moisture retention, erosion and root stability. Good vegetation coverage can reduce soil erosion and enhance soil stability; soil conductivity mainly affects the grounding performance of the power system and indirectly affects the stability of the pole tower. Soil with high conductivity can better disperse current, reduce corrosion risks and protect the pole tower foundation.

[0083] Therefore, mathematical analysis is used to analyze the wind speed and wind direction angle and quantify the wind influencing factors. At the same time, mathematical analysis is used to comprehensively analyze the soil settlement, soil vegetation coverage and soil conductivity to quantify the geological influencing factors. Finally, through further mathematical analysis, the tower failure risk is determined based on the wind influencing factors and geological influencing factors, thereby achieving a multi-dimensional analysis of the tower failure risk.

[0084] Through the method provided in this embodiment, the changes in wind speed and wind direction are analyzed, the wind influencing factors are determined, and the impact of wind on the risk of tower failure is accurately evaluated. At the same time, the soil settlement, vegetation coverage and soil conductivity are analyzed to determine the geological influencing factors, and the impact of the foundation soil stability and bearing capacity on the risk of tower failure is revealed. Combined with the tower state model, the failure risk of the tower under different environmental conditions is effectively predicted, thereby improving the accuracy and comprehensiveness of the tower failure risk.

[0085] In some embodiments, the wind speed and wind direction angle are analyzed to determine the wind force influencing factor, which is specifically the following formula (2): (2); in, The wind force factor is is the standard air density, is the wind speed, is the preset tower resistance coefficient, is the preset adjustment constant, is the wind direction angle.

[0086] The standard air density may be a standard value of air density, and the standard air density may be 1.225 kg / m³.

[0087] The preset tower resistance coefficient may be a value used to describe the tower's ability to resist airflow, and the preset tower resistance coefficient may be obtained through tower design parameters.

[0088] The preset adjustment constant may be a constant used to adjust the degree of influence of the wind direction angle on the wind force influencing factors, and the preset adjustment constant may be obtained by fitting experimental data.

[0089] Specifically, according to the foundation of wind energy dynamics, wind force can be regarded as the result of the pressure exerted by wind speed on an object, which can be expressed by To describe the dynamic pressure caused by wind speed, when wind acts on the surface of an object, the force generated must be combined with the windward area and dynamic pressure of the object, so the preset tower resistance coefficient is introduced into formula (2). Furthermore, since wind direction will exert a directional influence on wind pressure on the tower, especially under complex terrain and airflow, the wind direction angle is introduced into formula (2) to describe the influence of wind direction. Since the directional influence exerted by wind direction varies when the object shape is different, the preset adjustment constant is introduced into formula (2). The cosine function is used in formula (2) to calculate the effective wind force influence while considering the angle between wind speed and the surface of the object. The interaction analysis between force and wind speed through cosine function has higher accuracy and practicality.

[0090] Through the method provided in this embodiment, mathematical analysis methods are used to design a mathematical formula based on wind speed and wind direction angle to accurately describe the impact of wind force on the risk of power tower failure under the influence of wind speed and wind direction angle, quantify the wind force influencing factors, and improve the accuracy and comprehensiveness of the subsequent power tower failure risks.

[0091] In some embodiments, soil sedimentation, soil vegetation coverage and soil conductivity are analyzed to determine geological influencing factors, specifically the following formula (3): ; in, The geological factors are To preset the settlement influence weight, is the preset settlement adjustment coefficient, is the soil sedimentation, is the preset error adjustment coefficient, To preset the vegetation influence weight, is the soil vegetation coverage rate, To preset the maximum vegetation coverage, is the preset vegetation adjustment coefficient, To preset the conductivity influence coefficient, To preset the maximum conductivity, is the soil electrical conductivity, It is the preset conductivity adjustment factor.

[0092] The preset settlement influence weight may be an influence weight of soil settlement on geological stability, and the preset settlement influence weight may be obtained by fitting soil experimental data.

[0093] The preset settlement adjustment coefficient may be an adjustment coefficient used to adjust the degree of influence of soil settlement on geological stability, and the preset settlement adjustment coefficient may be obtained by fitting soil experimental data.

[0094] The preset error adjustment coefficient may be an adjustment coefficient used to reduce the error between the acquired soil settlement amount and the actual soil settlement situation. The preset error adjustment coefficient may be obtained by fitting soil experimental data.

[0095] The preset vegetation impact weight may be the impact weight of the vegetation coverage rate on the geological stability, and the preset vegetation impact weight may be obtained by fitting soil experimental data.

[0096] The preset maximum vegetation coverage may be a maximum value of the vegetation coverage of the soil surface, and the preset maximum vegetation coverage may be set to 1.

[0097] The preset vegetation adjustment coefficient may be an adjustment coefficient used to adjust the degree of influence of vegetation coverage on geological stability. The preset vegetation adjustment coefficient may be obtained by fitting the collected soil data with different vegetation coverage.

[0098] The preset conductivity influence coefficient may be the influence weight of soil conductivity on the geological stability, and the preset conductivity influence coefficient may be obtained by fitting soil experimental data.

[0099] The preset maximum conductivity may be a maximum value of soil conductivity, and the preset maximum conductivity may be obtained by statistically analyzing soil experimental data.

[0100] The preset conductivity adjustment coefficient may be an adjustment coefficient for adjusting the influence of soil conductivity on geological stability. The preset conductivity adjustment coefficient may be obtained by fitting the collected soil data of different conductivities.

[0101] Specifically, through formula (3) , describes the impact of soil settlement on geological stability. This function form can provide a smooth transition. When the soil settlement is less than or close to the preset error adjustment coefficient, the impact is small. As the settlement increases, the risk gradually increases and finally tends to 1. Describes the influence of vegetation coverage. Vegetation growth is usually positively correlated with soil stability. Therefore, when the vegetation coverage is high, the soil stability is relatively strong. Here, the preset maximum vegetation coverage can be set to the theoretical maximum value (such as 100% coverage). Describe the impact of soil conductivity on geological stability. Soil conductivity is related to soil salinity, water content and other properties. These factors will affect the mechanical properties and stability of the soil. The smaller the conductivity, the drier the soil may be, which may increase the risk of subsidence and have a negative impact on geological stability.

[0102] Through the method provided in this embodiment, mathematical analysis methods are used to accurately quantify the influence of soil settlement, soil vegetation coverage and soil conductivity on geological stability through mathematical formulas on the basis of soil settlement, soil vegetation coverage and soil conductivity, and then derive geological influencing factors, which is conducive to the subsequent comprehensive evaluation of the influence of geological stability on the tower foundation, thereby making the subsequent tower failure risk obtained after considering geological stability more accurate.

[0103] In some embodiments, based on the tower state model, the tower failure risk is determined according to wind influencing factors and geological influencing factors, specifically the following formula (4): (4); in, For tower failure risk, is the current connection node, is the set of connected nodes, The wind force factor is is the height value corresponding to the current connection node in the height information set, The geological factors are is the current connection path, is a set of connection paths, It is the height value corresponding to the current connection path in the height information set.

[0104] Specifically, in formula (4) and They represent the height information of the connection nodes and connection paths respectively. These height values ​​are closely related to the response of the tower under wind and geological effects. The height of each connection node and path of the tower will affect the effect of wind and geological stability. The higher the height, the greater the impact of wind. Conversely, the greater the impact of geological stability. Therefore, these height information needs to be considered when calculating risks. The geological influencing factor is geological stability. Stable geological conditions can improve the ability of the tower to resist external forces. Therefore, it is used as a negative impact factor in risk assessment. In order to simplify the model, use describes the influence of geological stability, which means that the lower the geological stability, the greater the risk; in summary, the first term in formula (4) The failure risk of all connected nodes under wind and geological influences is calculated. What is calculated is the failure risk of all connection paths under the influence of wind and geology. After combining the above first and second items, the failure risk of the tower as a whole under the influence of wind and geology can be obtained.

[0105] Through the method provided in this embodiment, mathematical analysis methods are used, and by simultaneously considering wind and geological influencing factors, a mathematical formula is designed to provide a comprehensive tower failure risk assessment, thereby ensuring that relevant factors are taken into consideration, improving the accuracy and comprehensiveness of the tower failure risk assessment, and making the obtained tower failure risk data conform to the actual situation.

[0106] In some embodiments, based on the tower failure risk and the preset tower risk threshold, it is determined whether the tower failure risk exceeds the preset tower risk threshold; if the tower failure risk exceeds the preset tower risk threshold, then based on the tower failure risk, the tower state model is analyzed to determine the failure risk of each connection node and connection path, and a failure risk set is constructed; the failure risk set is analyzed, all failure risks in the failure risk set are sorted in reverse order, and a number of high-risk nodes and a number of high-risk paths corresponding to a number of failure risks exceeding the preset node path risk threshold are determined; based on the number of high-risk nodes and the number of high-risk paths, a high-risk node set and a high-risk connection path set are constructed.

[0107] The preset pole tower risk threshold may be a risk threshold that may cause a pole tower failure, and the preset pole tower risk threshold may be set according to actual conditions.

[0108] The failure risk set may be a numerical set including failure risk values ​​of all connection nodes and connection paths.

[0109] The preset node path risk threshold may be a risk threshold that may cause failure of internal connections of the tower or connecting tower materials, and the preset node path risk threshold may be set according to actual conditions.

[0110] Specifically, the pole tower failure risk is compared with the preset pole tower risk threshold. If the pole tower failure risk exceeds the preset pole tower risk threshold, it means that the probability of failure of the power pole tower has increased significantly. At this time, based on the pole tower failure risk, the failure risk corresponding to each connection node and connection path in the pole tower state model is extracted. The extraction process can refer to the traversal process in formula (4). According to the failure risk corresponding to each connection node and connection path, a failure risk set is constructed, and all failure risk values ​​in the failure risk set are sorted in reverse order. The preset node path risk threshold is used as the benchmark value to screen all sorted failure risk values. In this way, according to all corresponding connection nodes and connection paths that exceed the preset node path risk threshold, a high-risk node set and a high-risk connection path set are respectively constructed, providing accurate data basis for the subsequent analysis of the risk development trend of power poles.

[0111] Through the method provided in this embodiment, relying on the tower failure risk and tower status model, the failure risks corresponding to all connection nodes and connection paths that constitute the tower are evaluated in detail, and then a set of high-risk connection nodes and a set of high-risk connection paths are constructed, which helps to systematically analyze the propagation path of the failure risk, identify the key nodes that are easily affected, and provide an important data basis for the subsequent evaluation of the development trend of the power tower failure risk.

[0112] In some embodiments, based on the tower failure risk, a mechanical simulation analysis is performed on a set of high-risk nodes and a set of high-risk connection paths in a tower state model according to a preset mechanical analysis model to determine a mechanical simulation result; based on the mechanical simulation results, risk development trend information is determined.

[0113] The mechanical simulation result may be power tower status information obtained by performing mechanical simulation analysis on a set of high-risk nodes and a set of high-risk connection paths.

[0114] Specifically, after determining the set of high-risk nodes and the set of high-risk connection paths, a preset mechanical analysis model, such as FEA (Finite Element Analysis) and DAM (Dynamic Analysis Models), is used to perform mechanical simulation analysis on the set of high-risk nodes and the set of high-risk connection paths in the tower state model, which mainly involves the simulation of wind loads and geological changes, and determines the state information of the power tower during the simulation process, which is used as the mechanical simulation result, and then determines the risk development trend information based on the changes in the state of the power tower during the simulation process.

[0115] Through the method provided in this embodiment, a preset mechanical analysis model is used to perform mechanical simulation analysis on a set of high-risk nodes and a set of high-risk connection paths in the tower state model, so that the risk development trend analysis process of the power tower is more systematic and scientific, and the risk development trend information obtained is matched with the actual situation of the power tower, so as to improve the accuracy of the risk development trend information.

[0116] Figure 3 A schematic diagram of a structure of an indicator analysis system based on power data fusion provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the index analysis system 300 based on power data fusion of this embodiment includes: a model building module 301 , a risk analysis module 302 , a node path analysis module 303 , a trend analysis module 304 and an output module 305 .

[0117] The model building module 301 is used to obtain a plurality of pole tower structure image information, analyze the plurality of pole tower structure image information, and determine a pole tower state model; The risk analysis module 302 is used to obtain a set of environmental influencing factors, analyze the set of environmental influencing factors based on the tower state model, and determine the tower failure risk; A node path analysis module 303 is used to analyze the tower failure risk and the tower state model, and determine a high-risk node set and a high-risk connection path set; A trend analysis module 304 is used to analyze the high-risk node set and the high-risk connection path set based on the tower failure risk and the tower state model to determine risk development trend information; The output module 305 is used to determine maintenance suggestions according to the risk development trend information, and output the maintenance suggestions for reference by maintenance personnel.

[0118] Optionally, the model building module 301 is specifically used for: Analyze the structural image information of the plurality of towers to determine the connection points of the plurality of tower materials; Analyze the structural image information of the plurality of towers to determine a plurality of connecting tower materials; Determining a set of connection nodes according to the plurality of tower material connections; Determining a set of connection paths according to the plurality of connection tower materials; Based on the image information of the plurality of tower structures, analyzing the plurality of tower material connections and the plurality of connected tower materials to determine a height information set; The tower state model is determined according to the connection node set, the connection path set and the height information set.

[0119] Optionally, when the model building module 301 determines the tower state model according to the connection node set, the connection path set and the height information set, it is specifically the following formula: ; in, is the tower state model, is the set of connected nodes, For the Connect Node and The connection path between To connect nodes and The number of connection paths between is the height information set.

[0120] Optionally, the risk analysis module 302 is specifically used to: Determining the wind speed and wind direction angle according to the wind speed change information and the wind direction change information; Analyze the wind speed and wind direction angle to determine wind force influencing factors; Analyze the soil settlement, the soil vegetation coverage and the soil conductivity to determine geological influencing factors; Based on the tower state model, the tower failure risk is determined according to the wind influencing factors and the geological influencing factors.

[0121] Optionally, the risk analysis module 302 analyzes the wind speed and wind direction angle to determine the wind force influencing factor using the following formula: ; in, is the wind influencing factor, is the standard air density, is the wind speed, is the preset tower resistance coefficient, is the preset adjustment constant, is the wind direction angle.

[0122] Optionally, when the risk analysis module 302 analyzes the soil settlement, the soil vegetation coverage and the soil conductivity to determine the geological influencing factors, the formula is specifically as follows: ; in, For the geological factors mentioned above, To preset the settlement influence weight, is the preset settlement adjustment coefficient, is the soil settlement, is the preset error adjustment coefficient, To preset the vegetation influence weight, is the soil vegetation coverage rate, To preset the maximum vegetation coverage, is the preset vegetation adjustment coefficient, To preset the conductivity influence coefficient, To preset the maximum conductivity, is the soil conductivity, It is the preset conductivity adjustment factor.

[0123] Optionally, the risk analysis module 302 determines the tower failure risk based on the tower state model, the wind influencing factors and the geological influencing factors, specifically using the following formula: ; in, is the tower failure risk, is the currently connected node, is the set of connected nodes, is the wind influencing factor, is the height value corresponding to the current connection node in the height information set, For the geological factors mentioned above, is the current connection path, is the connection path set, It is the height value corresponding to the current connection path in the height information set.

[0124] Optionally, the node path analysis module 303 is specifically used to: According to the pole tower failure risk and a preset pole tower risk threshold, determining whether the pole tower failure risk exceeds the preset pole tower risk threshold; If the tower failure risk exceeds the preset tower risk threshold, based on the tower failure risk, analyzing the tower state model, determining the failure risk of each of the connection nodes and the connection path, and constructing a failure risk set; Analyze the fault risk set, sort all the fault risks in the fault risk set in reverse order, and determine a number of high-risk nodes and a number of high-risk paths corresponding to a number of the fault risks exceeding a preset node path risk threshold; The high-risk node set and the high-risk connection path set are constructed according to the high-risk nodes and the high-risk paths.

[0125] Optionally, the trend analysis module 304 is specifically used to: Based on the tower failure risk, a mechanical simulation analysis is performed on the high-risk node set and the high-risk connection path set in the tower state model according to a preset mechanical analysis model to determine a mechanical simulation result; The risk development trend information is determined according to the mechanical simulation results.

[0126] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. An index analysis method based on power data fusion, characterized in that: include: Acquire a plurality of pole tower structure image information, analyze the plurality of pole tower structure image information, and determine a pole tower state model; Obtaining a set of environmental influencing factors, analyzing the set of environmental influencing factors based on a tower state model, and determining a tower failure risk; Analyze the tower failure risk and the tower status model to determine a high-risk node set and a high-risk connection path set; Based on the tower failure risk and the tower status model, analyzing the high-risk node set and the high-risk connection path set to determine risk development trend information; Maintenance suggestions are determined based on the risk development trend information, and the maintenance suggestions are output for reference by maintenance personnel.

2. The method according to claim 1, characterized in that The analyzing the plurality of tower structure image information to determine the tower state model includes: Analyze the structural image information of the plurality of towers to determine the connection points of the plurality of tower materials; Analyze the structural image information of the plurality of towers to determine a plurality of connecting tower materials; Determining a set of connection nodes according to the plurality of tower material connections; Determining a set of connection paths according to the plurality of connection tower materials; Based on the image information of the plurality of tower structures, analyzing the plurality of tower material connections and the plurality of connected tower materials to determine a height information set; The tower state model is determined according to the connection node set, the connection path set and the height information set.

3. The method according to claim 2, characterized in that The tower state model is determined according to the connection node set, the connection path set and the height information set, specifically the following formula: ； in, is the tower state model, is the set of connected nodes, For the Connect Node and The connection path between To connect nodes and The number of connection paths between is the height information set.

4. The method according to claim 2, characterized in that: The environmental influencing factor set includes wind speed change information, wind direction change information, soil settlement, soil vegetation coverage and soil conductivity. The tower state model is used to analyze the environmental influencing factor set to determine the tower failure risk, including: Determining the wind speed and wind direction angle according to the wind speed change information and the wind direction change information; Analyze the wind speed and wind direction angle to determine wind force influencing factors; Analyze the soil settlement, the soil vegetation coverage and the soil conductivity to determine geological influencing factors; Based on the tower state model, the tower failure risk is determined according to the wind influencing factors and the geological influencing factors.

5. The method according to claim 4, characterized in that The wind speed and wind direction angle are analyzed to determine the wind force influencing factors, which are specifically the following formula: ； in, is the wind influencing factor, is the standard air density, is the wind speed, is the preset tower resistance coefficient, is the preset adjustment constant, is the wind direction angle.

6. The method according to claim 4, characterized in that The analysis of the soil settlement, the soil vegetation coverage and the soil conductivity to determine the geological influencing factors is specifically the following formula: ； in, For the geological factors mentioned above, To preset the settlement influence weight, is the preset settlement adjustment coefficient, is the soil settlement, is the preset error adjustment coefficient, To preset the vegetation influence weight, is the soil vegetation coverage rate, To preset the maximum vegetation coverage, is the preset vegetation adjustment coefficient, To preset the conductivity influence coefficient, To preset the maximum conductivity, is the soil conductivity, It is the preset conductivity adjustment factor.

7. The method according to claim 4, characterized in that The tower failure risk is determined based on the tower state model according to the wind influencing factors and the geological influencing factors, specifically the following formula: ； in, is the tower failure risk, is the currently connected node, is the set of connected nodes, is the wind influencing factor, is the height value corresponding to the current connection node in the height information set, For the geological factors mentioned above, is the current connection path, is the connection path set, It is the height value corresponding to the current connection path in the height information set.

8. The method according to claim 5, characterized in that The analyzing the tower failure risk and the tower status model to determine a high-risk node set and a high-risk connection path set includes: According to the pole tower failure risk and a preset pole tower risk threshold, determining whether the pole tower failure risk exceeds the preset pole tower risk threshold; If the tower failure risk exceeds the preset tower risk threshold, based on the tower failure risk, analyzing the tower state model, determining the failure risk of each of the connection nodes and the connection path, and constructing a failure risk set; Analyze the fault risk set, sort all the fault risks in the fault risk set in reverse order, and determine a number of high-risk nodes and a number of high-risk paths corresponding to a number of the fault risks exceeding a preset node path risk threshold; The high-risk node set and the high-risk connection path set are constructed according to the high-risk nodes and the high-risk paths.

9. The method according to claim 5, characterized in that The step of analyzing the high-risk node set and the high-risk connection path set based on the tower failure risk and the tower status model to determine risk development trend information includes: Based on the tower failure risk, a mechanical simulation analysis is performed on the high-risk node set and the high-risk connection path set in the tower state model according to a preset mechanical analysis model to determine a mechanical simulation result; The risk development trend information is determined according to the mechanical simulation results.

10. An index analysis system based on power data fusion, characterized in that: include: A model building module is used to obtain a plurality of pole tower structure image information, analyze the plurality of pole tower structure image information, and determine a pole tower state model; A risk analysis module is used to obtain a set of environmental influencing factors, analyze the set of environmental influencing factors based on a tower state model, and determine the tower failure risk; A node path analysis module, used to analyze the tower failure risk and the tower state model, and determine a high-risk node set and a high-risk connection path set; A trend analysis module, used to analyze the high-risk node set and the high-risk connection path set based on the tower failure risk and the tower state model, and determine risk development trend information; The output module is used to determine maintenance suggestions according to the risk development trend information, and output the maintenance suggestions for reference by maintenance personnel.

Images