Tower fault detection method and system

Abstract

The invention discloses a tower fault detection method and system. The method comprises the following steps: establishing an initial tower finite element model; obtaining material attribute data of a to-be-measured tower, and establishing a target to-be-measured tower finite element model in combination with the initial tower finite element model; acquiring first data of a to-be-measured tower, and acquiring second data in combination with the finite element model of the target to-be-measured tower; and comparing the second data with the first historical data set, and carrying out fault detection on the to-be-detected tower. By establishing the tower finite element mechanism model, performing simulation analysis on the stress-strain states of the tower under different working conditions, and integrating the formed stress field and deformation field data to establish the data model, the real-time analysis of the stress state of the tower and the output of the field data are realized, and the efficiency of tower fault detection is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system engineering, and in particular to a tower fault detection method and system. Background Art

[0002] A pole tower is a vertical structure used to support power transmission lines, communication facilities or other similar applications. They play an important role in transmitting electricity from power stations to users and providing communication signal coverage. Pole towers have several key characteristics, including: Insulation capacity: Pole towers need to have good insulation capacity to ensure that transmission lines can operate normally without being interfered by external environmental factors. The quality of insulation capacity is related to the material and design of the pole tower; Corrosion resistance: Pole towers are usually exposed to the natural environment and need to be able to resist corrosion and extend their service life. Common corrosion-resistant materials include galvanized steel, aluminum alloy, etc.

[0003] In order to ensure the safety and stability of pole towers, the existing technology usually performs manual fault detection on pole towers, but the efficiency of detection cannot be guaranteed. Therefore, how to solve the low efficiency of existing pole tower fault detection methods has become an urgent problem to be solved. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a tower fault detection method and system, which can solve the problems mentioned in the background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a tower fault detection method, comprising:

[0009] Establish the initial tower finite element model;

[0010] Acquire material property data of the pole tower to be tested, and establish a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model;

[0011] Acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested;

[0012] The second data is compared with the first historical data set to perform fault detection on the tower to be tested.

[0013] As a preferred solution of the pole tower fault detection method of the present invention, wherein: the establishment of the initial pole tower finite element model includes: initial pole tower finite element models under several different working conditions;

[0014] An initial tower finite element model is established based on the tower characteristic data under different working conditions and the preset finite element model.

[0015] As a preferred solution of the tower fault detection method of the present invention, the preset finite element model at least includes a tower finite element model of the same type as the tower to be tested.

[0016] As a preferred solution of the tower fault detection method of the present invention, the comparison of the second data with the first historical data set to perform the tower fault detection includes:

[0017] Filter the second data according to the data filtering condition to obtain filtered third data;

[0018] Performing statistical analysis on the third data and the first historical data set to obtain a first analysis result;

[0019] A tower fault detection result is determined according to the first analysis result.

[0020] As a preferred solution of the tower fault detection method of the present invention, wherein: the statistical analysis is performed on the third data and the first historical data set to obtain the first analysis result, including:

[0021] Comparing the third data with the first historical data set to obtain a data comparison result;

[0022] Determine the corresponding current tower working condition according to the data comparison result;

[0023] The failure rate is calculated based on the current tower operating condition, the third data and the first historical data set to obtain a first analysis result.

[0024] As a preferred solution of the tower fault detection method of the present invention, the determining of the tower fault detection result according to the first analysis result comprises:

[0025] Determine the corresponding current tower failure rate according to the first analysis result;

[0026] Compare the current tower failure rate with a tower failure rate threshold to obtain a failure rate comparison result;

[0027] When the failure rate comparison result is that the current tower failure rate is greater than or equal to the tower failure rate threshold, it is determined that the tower failure detection result is a tower failure result.

[0028] As a preferred solution of the pole tower fault detection method of the present invention, the step of obtaining the material property data of the pole tower to be tested and establishing the finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model comprises:

[0029] Defining the properties of the initial tower finite element model according to the tower material property data to obtain the defined initial tower finite element model;

[0030] Meshing the defined initial tower finite element model to obtain a grid tower finite element model;

[0031] Inputting pole tower test data into the grid pole tower finite element model to obtain a test position value and a test stress value;

[0032] Determine a target comparison result according to the test position value, the test stress value and the pole tower calibration data;

[0033] The grid tower finite element model is calibrated according to the target comparison result to obtain the target tower finite element model to be measured.

[0034] In a second aspect, the present invention provides a tower fault detection system, comprising:

[0035] Model set building module, used to build the initial tower finite element model;

[0036] A model selection module is used to obtain material property data of the pole tower to be tested, and to establish a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model;

[0037] A data acquisition module, used to acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested;

[0038] The detection module is used to compare the second data with the first historical data set to perform fault detection on the tower to be tested.

[0039] In a third aspect, the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method when executing the computer program.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the method described above when executed by a processor.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention proposes a pole tower fault detection method and system, establishes an initial pole tower finite element model; obtains material property data of the pole tower to be tested, and establishes a target pole tower finite element model in combination with the initial pole tower finite element model; obtains first data of the pole tower to be tested, and obtains second data in combination with the target pole tower finite element model; compares the second data with the first historical data set to perform fault detection of the pole tower to be tested. By establishing a pole tower finite element mechanism model, the stress and strain state of the pole tower under different working conditions is simulated and analyzed, and the formed stress field and deformation field data are integrated to establish a data model, which realizes real-time analysis of the stress state of the pole tower and output of field data, and improves the efficiency of pole tower fault detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0043] Figure 1 A method flow chart of a tower fault detection method and system provided by an embodiment of the present invention;

[0044] Figure 2 A schematic diagram of a platform application of a structural mechanics simulation model of a transmission tower of a tower fault detection method and system provided by an embodiment of the present invention;

[0045] Figure 3 A schematic diagram of the equipment structure of a tower fault detection method and a hardware operating environment of the system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0047] Example 1

[0048] Reference Figure 1-Figure 3 , which is the first embodiment of the present invention, and provides a tower fault detection method and system, including:

[0049] There are some problems in the existing related technologies, such as the detection method is not accurate enough, the detection efficiency is low, and it is impossible to monitor the health status of the tower in real time.

[0050] The main solution of the embodiment of the present application is: establish an initial tower finite element model according to the tower characteristic data under different working conditions and a preset finite element model; obtain a target tower finite element model according to the tower material properties and the initial tower finite element model; input the tower data to be tested into the target tower finite element model to obtain the target tower data; determine the tower fault detection result according to the target tower data and the first historical data set.

[0051] A pole tower is a vertical structure used to support power transmission lines, communication facilities or other similar applications. They play an important role in transmitting electricity from power stations to users and providing communication signal coverage. Pole towers have several key characteristics, including: Insulation capacity: Pole towers need to have good insulation capacity to ensure the normal operation of transmission lines without interference from external environmental factors. The quality of insulation capacity is related to the material and design of the pole tower; Corrosion resistance: Pole towers are usually exposed to the natural environment and need to be able to resist corrosion and extend their service life. Common corrosion-resistant materials include galvanized steel, aluminum alloy, etc. In order to ensure the safety and stability of pole towers, the existing technology usually manually detects faults on pole towers, but the efficiency of detection cannot be guaranteed. Therefore, how to solve the low efficiency of existing pole tower fault detection methods has become an urgent problem to be solved.

[0052] Figure 1 A method flow chart of a tower fault detection method and system is shown, including:

[0053] S100: Establish the initial tower finite element model;

[0054] In the embodiment of the present application, establishing the initial tower finite element model includes: initial tower finite element models under several different working conditions;

[0055] An initial tower finite element model is established based on the tower characteristic data under different working conditions and the preset finite element model.

[0056] In an optional embodiment, the several different working conditions may include wind load, snow load, ice load, temperature change, etc. The tower characteristic data under these working conditions may be obtained through experimental measurement or theoretical calculation. The establishment of the initial tower finite element model provides a basis for subsequent tower fault detection.

[0057] In the embodiment of the present application, in order to ensure the comprehensiveness of the design, wind load is selected as the actual working condition, and the static and dynamic characteristic data of the tower under multiple working conditions are calculated through the finite element numerical simulation method, and a basis for whether destruction or damage occurs is provided.

[0058] In an optional embodiment, a finite element model of the tower is first established, and external constraints, force and wind load parameters are input to obtain displacement fields, stress fields, and mechanical damage state distribution through calculation. According to the working conditions during the test, a structural mechanics simulation is performed with external conditions (wind load) as input, and the simulation results are compared and corrected with the test results.

[0059] In an optional embodiment, the tower characteristic data includes load capacity data (wind load), strength data and stiffness data, insulation capacity data and corrosion resistance data, etc. The preset finite element model refers to a pre-set finite element model used to establish a tower finite element model, and the initial tower finite element model refers to an initial three-dimensional geometric model of the tower established by finite element software.

[0060] In the embodiment of the present application, according to the geometric dimensions of the tower (the height, width, length, cross-sectional shape, etc. of the tower), the connection methods between the various components of the tower, and combined with the load capacity data (wind load), strength data and stiffness data, insulation capacity data and corrosion resistance data, an initial tower finite element model is established through Comsol and PyCharm, wherein Comsol is a multi-physics field modeling and simulation software used to establish and solve the tower structural mechanics simulation model, and PyCharm is used to write the tower data model.

[0061] In the embodiment of the present application, the preset finite element model at least includes a tower finite element model of the same type as the tower to be measured.

[0062] In an optional embodiment, the preset finite element model may include various types of towers, such as transmission towers, communication towers, lighting towers, etc. Transmission towers also include various types of transmission towers, such as straight towers, tension towers, corner towers, etc. Communication towers may include towers for fixing communication lines, while lighting towers are used to support lighting equipment. The design and material selection of each tower must be determined according to its specific purpose and environment to ensure its functionality and safety.

[0063] It should be noted that the preset finite element model at least includes a tower finite element model of the same type as the tower to be measured in order to ensure accurate modeling and identification of the tower to be measured in subsequent steps.

[0064] It should also be noted that the benefit of establishing an initial tower finite element model is that it can simulate the stress conditions of the tower under different working conditions, thereby providing an accurate reference for subsequent fault detection. In this way, the possible fault points of the tower in actual operation can be effectively predicted, providing a scientific basis for maintenance and overhaul. In addition, the established initial tower finite element model can also be used to evaluate the rationality of the tower design to ensure that the tower structure meets safety and functional requirements during the design stage. In practical applications, the model can help engineers quickly locate problems, reduce the time and resources required for on-site detection, and thus improve the overall detection efficiency and accuracy.

[0065] S200: Acquire material property data of the pole tower to be tested, and establish a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model;

[0066] In the embodiment of the present application, obtaining the material property data of the pole tower to be tested and establishing the finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model includes:

[0067] Defining the properties of the initial tower finite element model according to the tower material property data to obtain the defined initial tower finite element model;

[0068] Furthermore, the defined initial tower finite element model is meshed to obtain a grid tower finite element model;

[0069] Furthermore, the tower test data is input into the grid tower finite element model to obtain the test position value and the test stress value;

[0070] Furthermore, a target comparison result is determined based on the test position value, the test stress value, and the pole tower calibration data;

[0071] Furthermore, the grid tower finite element model is calibrated according to the target comparison result to obtain the target tower finite element model.

[0072] In an optional embodiment, the material properties of the tower refer to the material properties of the tower components defined in the finite element software, including elastic modulus, Poisson's ratio, density, yield strength, etc. The finite element model of the target tower to be tested refers to the establishment of a numerical model that can accurately reflect the behavior of the tower under various working conditions, based on the initial model, combined with the tower material properties and other working condition data, through fine geometric modeling, meshing, boundary conditions and load definitions, as well as reasonable analysis types and solution settings.

[0073] In the embodiment of the present application, based on the initial finite element model of the tower, combined with the material properties of the tower components defined in the finite element software, including elastic modulus, Poisson's ratio, density, yield strength, etc., the material properties of the model are defined, and through fine geometric modeling, meshing, boundary conditions and load definitions, as well as reasonable analysis types and solution settings, a numerical model that can accurately reflect the behavior of the tower under various working conditions is finally established, that is, the finite element model of the target tower to be tested.

[0074] In an optional embodiment, the initial tower finite element model is defined according to the tower material properties to obtain the defined initial tower finite element model. It should be noted that a material library is created according to the tower material properties, and then the material properties are input, including elastic modulus, Poisson's ratio, density, yield strength, etc., and then the material properties are assigned, that is, components are selected, and components to be assigned material properties are selected in the model, and corresponding materials are selected from the material library and assigned to the selected components. Finally, the material properties are checked and verified to ensure that the material properties of all components have been correctly assigned, and checked and verified. The material properties of each component are checked in the finite element software to ensure that they are correct. When the material properties of all relevant components are ensured to be consistent, the model is saved to obtain the defined initial tower finite element model.

[0075] In an optional embodiment, the defined initial tower finite element model is meshed to obtain the target tower finite element model. It is understandable that the material properties are defined, and the model is imported into the finite element software, and a suitable meshing tool is selected in the finite element software. Common meshing tools include: automatic meshing and manual meshing, and then select a suitable mesh type. Common mesh types include tetrahedral meshes, hexahedral meshes, and shell unit meshes. Different mesh sizes and densities are set according to different parts and importance of the tower. After completing the above settings, the defined initial tower finite element model is meshed, and the test data is input into the meshed finite element model for model testing to obtain the output test data, including position values ​​and stress values, and the target tower finite element model is obtained when the test data meets the requirements.

[0076] In an optional embodiment, the grid tower finite element model refers to a meshed finite element model, which is obtained by meshing the initial tower finite element model by selecting a suitable meshing tool, mesh type, mesh size and density in the finite element software to obtain a meshed finite element model, i.e., a grid tower finite element model.

[0077] In an optional embodiment, the tower test data refers to data for testing the simulation capability of the finite element model, the test position value refers to the tower position value output by the test model, and the test stress value refers to the tower stress value output by the test model, wherein the position value is used to analyze the maximum displacement value and its position to determine whether there is excessive deformation, and the stress field is used to check the maximum stress value and its distribution to confirm whether there is a risk of exceeding the material yield strength.

[0078] In a specific implementation, the data of the simulation capability of the test finite element model is input into the meshed finite element model to perform structural mechanics simulation calculations, and then the tower position value and tower stress value output by the test model are determined according to the calculation results.

[0079] In an optional embodiment, a target comparison result is determined according to the test position value, the test stress value and the pole tower calibration data;

[0080] It can be understood that the tower calibration data refers to the stress and displacement of the coordinates corresponding to the calibrated working condition information, and the target comparison result refers to the comparison result between the model test data and the calibration data.

[0081] In the specific implementation, the stress and displacement of the coordinates corresponding to the calibrated working condition information are compared with the tower position value and tower stress value output by the test model to determine whether the simulation calculation capability of the current finite element model meets the requirements. Specifically, the corresponding calibration stress and calibration displacement are determined according to the tested working condition combined with the stress and displacement of the coordinates corresponding to the calibrated working condition information, and then the tower position value and tower stress value output by the test model are compared with the corresponding calibration stress and calibration displacement to obtain the target comparison result.

[0082] In an optional embodiment, the grid tower finite element model is calibrated according to the target comparison result to obtain the target tower finite element model to be measured.

[0083] It can be understood that when the target comparison result shows that there is a difference between the test data and the calibration data, it indicates that the finite element model cannot achieve good simulation calculation capabilities at this time, and then the finite element model after meshing is calibrated according to the difference between the test data and the calibration data corresponding to the target comparison result, and then the calibrated finite element model is the target tower finite element model.

[0084] It should be noted that obtaining the material property data of the tower to be tested and establishing the finite element model of the target tower to be tested in combination with the initial tower finite element model can more accurately simulate and analyze the performance of the tower in the actual working environment. In this way, the structural integrity of the tower can be deeply evaluated to ensure its safety and reliability under various complex working conditions. In addition, the establishment of the finite element model of the target tower to be tested provides a more scientific and accurate tool for fault detection and prediction of the tower, which helps to discover potential structural problems in advance, so as to take preventive measures and avoid possible failures and accidents. In actual engineering applications, the model can guide engineers to carry out more effective maintenance and repair work and improve the operating efficiency and service life of the tower.

[0085] S300: Acquire first data of a tower to be tested, and acquire second data in combination with a finite element model of a target tower to be tested;

[0086] In the embodiment of the present application, the first data is the data of the tower to be tested, and the second data is the target tower data. The data of the tower to be tested refers to the load data of the tower to be subjected to structural mechanics simulation, that is, the external force data acting on the tower, including static and dynamic loads, including: gravity load, wind load, conductor tension, ice and snow load, and earthquake load, etc. The target tower data refers to the structural mechanics simulation result data of the tower, including displacement field, stress field, strain field, energy analysis, and damage assessment, etc.

[0087] In an optional embodiment, the load data of the tower to be subjected to structural mechanics simulation is input into the finite element model of the target tower to be tested to perform structural mechanics simulation calculations of the tower, and then the output results of the model are obtained to determine the structural mechanics simulation result data of the tower, including displacement field, stress field, strain field, energy analysis and damage assessment.

[0088] It should be noted that the benefit of obtaining the first data of the tower to be tested and obtaining the second data in combination with the finite element model of the target tower to be tested is that the response of the tower under actual working conditions can be simulated more accurately. By inputting the actual load data into the finite element model, the detailed mechanical response of the tower under various working conditions can be obtained, including parameters such as displacement, stress, and strain. These data are crucial for evaluating the structural performance of the tower because they can reveal the safety margin and potential weaknesses of the tower under different loads.

[0089] S400: Compare the second data with the first historical data set to perform fault detection on the tower to be tested.

[0090] In the embodiment of the present application, comparing the second data with the first historical data set to perform fault detection on the tower to be tested includes:

[0091] Filter the second data according to the data filtering condition to obtain filtered third data;

[0092] Performing statistical analysis on the third data and the first historical data set to obtain a first analysis result;

[0093] A tower fault detection result is determined according to the first analysis result.

[0094] In an optional embodiment, the first historical data set refers to a data set corresponding to historical tower faults, and the tower fault detection result refers to a detection result of whether a tower fault exists.

[0095] In an optional embodiment, the structural mechanics simulation result data of the tower, including displacement field, stress field, strain field, energy analysis and damage assessment, are compared with the data set corresponding to the historical faults of the tower. When the structural mechanics simulation result data of the tower is consistent with the data in the data set corresponding to the historical faults of the tower, it indicates that the fault detection result is the detection result that the tower has a fault. Otherwise, the tower fault detection result is determined to be the detection result that the tower does not have a fault.

[0096] In the embodiment of the present application, the first analysis result obtained by performing statistical analysis on the third data and the first historical data set includes:

[0097] Comparing the third data with the first historical data set to obtain a data comparison result;

[0098] Determine the corresponding current tower working condition according to the data comparison result;

[0099] The failure rate is calculated based on the current tower operating condition, the third data, and the first historical data set to obtain a first analysis result.

[0100] In an embodiment of the present application, determining a tower fault detection result according to the first analysis result includes:

[0101] Determine the corresponding current tower failure rate according to the first analysis result;

[0102] Compare the current tower failure rate with the tower failure rate threshold to obtain a failure rate comparison result;

[0103] When the failure rate comparison result is that the current tower failure rate is greater than or equal to the tower failure rate threshold, it is determined that the tower failure detection result is a tower failure result.

[0104] In an optional embodiment, the target tower data is screened according to data screening conditions to obtain screened tower data, where the data screening conditions refer to pre-set data screening conditions, and the screened tower data refer to screened tower fault characteristic data, including stress and displacement, etc.

[0105] In the specific implementation, in order to ensure accurate judgment of whether the tower is faulty and improve detection efficiency, the simulation data output by the finite element model is screened in combination with pre-set data screening conditions, that is, the tower fault characteristic data, including stress and displacement, is screened out, and the screened tower data is obtained.

[0106] In an optional embodiment, statistical analysis is performed on the screened tower data and the first historical data set to obtain a target data analysis result, where the target data analysis result refers to an analysis result that is similar to data of the screened tower data and the first historical data set.

[0107] In a specific implementation, the selected pole tower fault feature data is combined with the first historical data set of the pole tower for statistical analysis, for example, key data in the simulation results, such as maximum displacement, maximum stress, etc., are extracted, and key features in the historical fault data, such as fault location, fault type, environmental conditions, etc., are extracted from the historical fault data. Then, the extracted data is statistically analyzed to determine the analysis results of the selected pole tower data that are similar to the data in the first historical data set, that is, the target data analysis results.

[0108] In an optional embodiment, the screened tower data is compared with the first historical data set to obtain a data comparison result, where the data comparison result refers to a data similarity result between the screened tower data and the first historical data set.

[0109] In a specific implementation, the selected tower characteristic data are compared with the data set of tower historical faults one by one, and then the data similarity between the selected tower characteristic data and the data set of tower historical faults is determined, that is, the data comparison result is obtained.

[0110] In an optional embodiment, the corresponding current tower working condition is determined according to the data comparison result;

[0111] In a specific implementation, different tower operating conditions correspond to different data in the tower historical fault data set. Therefore, the corresponding tower operating condition, ie, the current tower operating condition, can be determined based on the data similarity between the screened tower feature data and the tower historical fault data set.

[0112] In an optional embodiment, the failure rate is calculated based on the current tower operating condition, the screened tower data and the first historical data set to obtain a target data analysis result.

[0113] In the specific implementation, the key data is determined based on the current working condition of the tower. For example, in ice and snow conditions, the key data is the data related to ice and snow loads. The filtered data is then combined with the data set of historical tower failures to calculate the probability of failure of the current tower. Finally, the target data analysis results are determined based on the calculation results.

[0114] In an optional embodiment, the pole tower fault detection result is determined according to the target data analysis result. The pole tower failure rate is calculated according to the analysis result of the selected pole tower data similar to the data of the first historical data set, and then compared with the pole tower failure rate threshold, and the pole tower fault detection result is determined according to the comparison result.

[0115] In an optional embodiment, the corresponding current tower failure rate is determined according to the target data analysis result;

[0116] It can be understood that the current tower failure rate refers to the probability of the current tower failure, and the tower failure monitoring result can be accurately judged by the probability of the current tower failure.

[0117] In an optional embodiment, the current tower failure rate is compared with a tower failure rate threshold to obtain a failure rate comparison result;

[0118] It can be understood that the tower failure rate threshold refers to the critical value of the failure rate used to determine whether a tower has a failure, and the failure rate comparison result refers to the comparison result between the current tower failure rate and the tower failure rate threshold.

[0119] In a specific implementation, the probability of failure of the current tower is compared with a critical value of the failure rate used to determine whether the tower has a fault, thereby obtaining a comparison result that the probability of failure of the current tower is greater than or equal to the critical value of the failure rate used to determine whether the tower has a fault, or a comparison result that the probability of failure of the current tower is less than the critical value of the failure rate used to determine whether the tower has a fault.

[0120] In an optional embodiment, when the failure rate comparison result is that the current tower failure rate is greater than or equal to a tower failure rate threshold, it is determined that the tower failure detection result is a tower failure result.

[0121] In a specific implementation, when the probability of the current tower failure is greater than or equal to the critical failure rate value used to determine whether the tower has a failure, it indicates that the tower has a high failure rate and is likely to fail, and the tower failure detection result is determined to be a tower failure result.

[0122] In an optional embodiment, when the pole tower fault detection result is that the pole tower has a fault result, the corresponding pole tower fault position and pole tower fault type are determined according to the pole tower fault detection result;

[0123] It can be understood that the tower failure location refers to the location where the tower failure occurs, and the tower failure types include structural damage failure, corrosion damage failure, fatigue damage failure, etc.

[0124] In a specific implementation, when the pole tower fault detection result is that the pole tower has a fault result, it indicates that the failure rate of the pole tower is high and a failure is very likely to occur. Then, a fault analysis process is performed based on the pole tower fault monitoring result to determine the location of the faulty part of the pole tower and the type of pole tower failure, including structural damage failure, corrosion damage failure, and fatigue damage failure.

[0125] In an optional embodiment, fault repair suggestion information is determined according to the tower fault location and tower fault type;

[0126] It can be understood that the fault repair suggestion information refers to the fault repair suggestion of the tower.

[0127] In specific implementation, corresponding tower fault maintenance suggestions can be generated according to the location of the tower fault and the type of tower fault. For example, if the structural damage is minor damage, surface repair such as polishing and painting is recommended; if the fatigue damage is an initial crack, crack repair such as welding repair and patching materials is recommended.

[0128] In an optional embodiment, corresponding tower fault warning information is generated and sent according to the fault repair suggestion information.

[0129] In a specific implementation, the pole tower fault warning information refers to the pole tower fault information used to remind maintenance personnel. Based on the pole tower fault repair suggestion, the corresponding pole tower fault information used to remind maintenance personnel is generated and sent, so as to promptly remind the maintenance personnel that there is a fault in the pole tower, and the fault repair suggestion information in the pole tower fault warning information can be combined to guide the maintenance personnel to repair the pole tower.

[0130] It should be noted that if Figure 2As shown in the figure, the static and dynamic characteristic data of the tower under multiple working conditions are calculated by the finite element numerical simulation method, and the basis for whether destruction or damage occurs is provided. First, a finite element model of the tower is established, and the external constraints, force and wind load parameters are input. The displacement field and stress field, as well as the mechanical damage state distribution are obtained by calculation. According to the working conditions during the test, the structural mechanics simulation is performed with the external conditions as input, and the simulation results are compared and corrected with the test results. The finite element software is used to establish a finite element model of a 220kV double-circuit tower-line system, and the parameters of the tower stress under the foundation deformation and icing are analyzed; the displacement of the tower support and hanging point and the stress of each pole of the tower are extracted from the numerical simulation results to generate a large sample data set; and then the RNN neural network (Recurrent Neural Network) is used to establish an agent model with the displacement of the tower support and hanging point as input and the stress of all poles of the tower as output. In order to quickly predict the stress of the tower, the hanging point and support of the ground wire on the tower can be used as displacement observation points, and the displacement of the measuring point can be used as a boundary condition to determine the stress of the tower. The displacements of the hanging points and support points of the tower calculated by the tower-line system reflect the effects of various loads such as foundation deformation and icing. That is, if only a single-base tower is used as the calculation model, the displacements calculated by the tower-line system are applied to its support points and hanging points, and the deformation and stress results of the tower should be consistent with the tower-line system model. Taking a 300m span line without height difference as an example, the ice thickness on the two-stage conductor and the ground wire is 30mm, and the support point 1 settles 0.02m. The displacements of 8 hanging points in 3 directions calculated by the tower-line system model. These displacements and the settlement of support point 1 are used as the boundary conditions of the single-base tower to calculate the deformation and stress of the tower. The Mises stress distribution (an equivalent stress used to evaluate the yield behavior of materials under multi-axial stress state) of the tower calculated by the tower-line system model and the single-base tower model is consistent with the Mises stress distribution calculated by the two models, indicating that the load on the tower can be reflected by applying the displacements of the tower support points and hanging points.

[0131] This embodiment also provides a tower fault detection system, including:

[0132] Model set building module, used to build the initial tower finite element model;

[0133] The model selection module is used to obtain the material property data of the tower to be tested, and to establish the finite element model of the target tower to be tested in combination with the initial tower finite element model;

[0134] A data acquisition module, used to acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested;

[0135] The detection module is used to compare the second data with the first historical data set to perform fault detection on the tower to be tested.

[0136] The above-mentioned unit modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above-mentioned modules.

[0137] like Figure 3 As shown, it shows a schematic diagram of the structure of a pole tower fault detection device suitable for implementing the embodiment of the present application. The pole tower fault detection device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The tower fault detection device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0138] like Figure 3 As shown, the pole tower fault detection device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM) 1004. In RAM 1004, various programs and data required for the operation of the pole tower fault detection device are also stored. The processing device 1001, ROM 1002, and RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the pole tower fault detection device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a pole tower fault detection device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0139] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0140] The pole tower fault detection device provided by the present application adopts the pole tower fault detection method in the above embodiment, which can solve the technical problem of low efficiency of the existing pole tower fault detection method. Compared with the prior art, the beneficial effects of the pole tower fault detection device provided by the present application are the same as the beneficial effects of the pole tower fault detection method provided by the above embodiment, and other technical features in the pole tower fault detection device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0141] This embodiment further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0142] Establish the initial tower finite element model;

[0143] Acquire the material property data of the tower to be tested, and establish the finite element model of the target tower to be tested in combination with the initial tower finite element model;

[0144] Acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested;

[0145] The second data is compared with the first historical data set to perform fault detection on the tower to be tested.

[0146] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0147] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can 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. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0152] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A tower fault detection method, characterized in that: include: Establish the initial tower finite element model; Acquire material property data of the pole tower to be tested, and establish a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model; Acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested; The second data is compared with the first historical data set to perform fault detection on the tower to be tested.

2. The tower fault detection method according to claim 1, characterized in that: The establishing of the initial tower finite element model comprises: initial tower finite element models under several different working conditions; An initial tower finite element model is established based on the tower characteristic data under different working conditions and the preset finite element model.

3. The tower fault detection method according to claim 2, characterized in that: The preset finite element model at least includes a tower finite element model of the same type as the tower to be tested.

4. The tower fault detection method according to claim 3, characterized in that: The comparing the second data with the first historical data set to perform fault detection on the tower to be tested includes: Filter the second data according to the data filtering condition to obtain filtered third data; Performing statistical analysis on the third data and the first historical data set to obtain a first analysis result; A tower fault detection result is determined according to the first analysis result.

5. The tower fault detection method according to claim 4, characterized in that: The performing statistical analysis on the third data and the first historical data set to obtain a first analysis result includes: Comparing the third data with the first historical data set to obtain a data comparison result; Determine the corresponding current tower working condition according to the data comparison result; The failure rate is calculated based on the current tower operating condition, the third data and the first historical data set to obtain a first analysis result.

6. The tower fault detection method according to claim 5, characterized in that: Determining the tower fault detection result according to the first analysis result includes: Determine the corresponding current tower failure rate according to the first analysis result; Compare the current tower failure rate with a tower failure rate threshold to obtain a failure rate comparison result; When the failure rate comparison result is that the current tower failure rate is greater than or equal to the tower failure rate threshold, it is determined that the tower failure detection result is a tower failure result.

7. The tower fault detection method according to claim 6, characterized in that: The step of acquiring material property data of the pole tower to be tested and establishing a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model comprises: Defining the properties of the initial tower finite element model according to the tower material property data to obtain the defined initial tower finite element model; Meshing the defined initial tower finite element model to obtain a grid tower finite element model; Inputting pole tower test data into the grid pole tower finite element model to obtain a test position value and a test stress value; Determine a target comparison result according to the test position value, the test stress value and the pole tower calibration data; The grid tower finite element model is calibrated according to the target comparison result to obtain the target tower finite element model to be measured.

8. A tower fault detection system, characterized in that: include: Model set building module, used to build the initial tower finite element model; A model selection module is used to obtain material property data of the pole tower to be tested, and to establish a finite element model of the target pole tower to be tested in combination with the initial pole tower finite element model; A data acquisition module, used to acquire first data of the pole tower to be tested, and acquire second data in combination with a finite element model of the target pole tower to be tested; The detection module is used to compare the second data with the first historical data set to perform fault detection on the tower to be tested.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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