Method and device for analyzing inclination state of power transmission tower and computer program product

Abstract

The invention discloses a power transmission tower inclination state analysis method and device and a computer program product, and the method comprises the steps: S1, obtaining the tower inclination analysis data of a target power transmission tower through preset monitoring equipment; s2, stress field modeling and feature extraction are carried out based on the iron tower inclination analysis data, and stress dominant factors of the power transmission iron tower are determined; s3, extracting inclination characteristics of the power transmission tower according to the tower inclination analysis data; s4, matching a corresponding inclination state analysis model based on the type of the stress dominant factor; and S5, inputting the inclination characteristics into the inclination state analysis model, and outputting an inclination state judgment result of the power transmission tower. According to the invention, accurate identification and dynamic determination of the iron tower structure state are realized, the discovery efficiency and response time efficiency of the inclination hidden danger are improved, and the safety and reliability of power transmission line operation are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and device for analyzing the tilt state of a transmission tower, and a computer program product. Background Art

[0002] In the existing power system, transmission towers serve as crucial support structures for high-voltage transmission lines, and their operational safety is directly linked to the stability of the transmission network. However, over their long service lives, transmission towers are susceptible to a variety of external factors, including geological subsidence, extreme weather conditions, construction disturbances, uneven line loading, and uneven foundation backfill, which can cause asymmetric deformation or tilting of the structure. Once a tower tilts, it not only disrupts conductor sag and increases line tension, but can also cause serious accidents such as structural instability, conductor tripping, phase short circuits, and even total tower collapse, posing a significant threat to power grid operation.

[0003] Currently, monitoring safety hazards such as transmission tower tilt primarily relies on a combination of manual inspections and regular ground measurements. Operations and maintenance personnel typically conduct on-site inspections of transmission lines according to quarterly or annual inspection schedules. They use levels, total stations, or GPS equipment to perform fixed-point measurements of key points on the top or body of the transmission tower. By comparing coordinate changes, vertical offsets, and other data at different time points, they can determine tilt trends. Furthermore, some areas use methods such as manual wire pulling and hanging hammer calibration to provide a simplified assessment of the tower's posture. While this method is practical under certain conditions, it typically follows a quarterly, semi-annual, or annual inspection schedule, resulting in low measurement frequency and long time intervals. Sudden or rapidly developing tilt or deformation of the transmission tower between inspection cycles may not be detected in time. Summary of the Invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a method, device and computer program product for analyzing the tilt state of a transmission tower, so as to achieve accurate identification and dynamic judgment of the structural state of the tower, improve the efficiency of discovering and responding to tilt hazards, and enhance the safety and reliability of transmission line operation.

[0005] In order to solve the above technical problems, the present invention provides a method for analyzing the tilt state of a transmission tower, comprising:

[0006] Step S1, obtaining tower tilt analysis data of a target transmission tower through a preset monitoring device;

[0007] Step S2, performing stress field modeling and feature extraction based on the tower tilt analysis data to determine the dominant stress factors of the transmission tower;

[0008] Step S3, extracting the tilt characteristics of the transmission tower according to the tower tilt analysis data;

[0009] Step S4, match a corresponding tilt state analysis model based on the type of the force-dominant factor;

[0010] Step S5, input the tilt feature into the tilt state analysis model, and output the determination result of the tilt state of the transmission tower.

[0011] Preferably, the step S2 specifically includes:

[0012] Obtain the stress analysis data in the tower tilt analysis data, where the stress analysis data includes spatial stress distribution data, stress change gradient data, and principal stress direction evolution data;

[0013] Based on the stress analysis data, obtain multiple force characteristics corresponding to the target transmission tower through the principles of structural statics and material mechanics;

[0014] According to the multiple force characteristics, determine the force-dominant factor corresponding to the target transmission tower.

[0015] Preferably, the determining the force-dominant factor corresponding to the target transmission tower according to the multiple force characteristics specifically includes:

[0016] Obtain the preset force characteristic set corresponding to the preset dominant factor corresponding to the force-dominant factor;

[0017] Obtain a first target force characteristic and a second target force characteristic, where the first target force characteristic is any one of the multiple force characteristics, and the second target force characteristic is any one of the preset force characteristic sets;

[0018] If it is confirmed that the first target force characteristic and the second target force characteristic meet the preset similarity condition, then use the first target force characteristic as the matching characteristic item, where the preset similarity condition is that the similarity value between the first target force characteristic and the second target force characteristic is greater than the preset similarity threshold;

[0019] Count the number of the matching characteristic items among the multiple force characteristics;

[0020] If it is confirmed that the number of the matching characteristic items is greater than or equal to the preset number, then confirm that the force-dominant factor is the force factor corresponding to the target transmission tower.

[0021] Preferably, the step S3 specifically includes:

[0022] Perform preprocessing operations on the tilt analysis data of the iron tower to obtain cleaned data. The preprocessing operations include outlier removal operations, missing value filling operations, data smoothing processing operations, and time synchronization alignment operations;

[0023] Extract multi-dimensional features from the cleaned data to obtain the tilt features corresponding to the target transmission iron tower.

[0024] Preferably, the force-dominant factors include foundation main control factors, upper structure main control factors, and multi-source coupling factors. The specific steps of S4 include:

[0025] When the force-dominant factor is the foundation main control factor, construct the tilt state analysis model with settlement difference, foundation stiffness non-uniformity, and surface tilt trend as the dominant factors;

[0026] When the force-dominant factor is the upper structure main control factor, construct the tilt state analysis model with structural member force imbalance, local stress concentration, and main material stiffness change as the dominant factors;

[0027] When the force-dominant factor is the multi-source coupling factor, use zone modeling and response coupling to combine and construct the tilt state analysis model.

[0028] Preferably, the specific steps of S5 include:

[0029] Input the tilt features into the tilt state analysis model and output the tilt value corresponding to the target transmission iron tower;

[0030] Output the tilt state corresponding to the target transmission iron tower according to the tilt value.

[0031] Preferably, when the force-dominant factor is the foundation main control factor, the inputting the tilt features into the tilt state analysis model and outputting the tilt value corresponding to the target transmission iron tower specifically includes:

[0032] Calculate the tilt value corresponding to the target transmission iron tower according to the following formula:

[0033]

[0034] Where θ1 is the corresponding tilt value calculated when the force-dominant factor is the foundation main control factor, Δs is the settlement difference, H is the nominal height of the target transmission iron tower, represents the foundation deformation gradient, ΔE d represents the foundation stiffness non-uniformity, E davg represents the average foundation deformation modulus, i is the surface tilt trend, and β1 is the empirical coefficient for correcting the weight corresponding to the surface tilt trend.

[0035] The present invention also provides an analysis device for the inclination state of a transmission tower, including:

[0036] An acquisition module, configured to obtain tower inclination analysis data of a target transmission tower through a preset monitoring device; perform stress field modeling and feature extraction based on the tower inclination analysis data to determine the dominant force factors of the transmission tower; extract the inclination features of the transmission tower according to the tower inclination analysis data;

[0037] A processing module, configured to match a corresponding inclination state analysis model based on the type of the dominant force factor; input the inclination features into the inclination state analysis model, and output a determination result of the inclination state of the transmission tower.

[0038] The present invention also provides an analysis device for the inclination state of a transmission tower, including:

[0039] One or more processors;

[0040] A memory;

[0041] One or more applications, wherein the one or more applications are stored in the memory and are configured to be executed by the one or more processors, and the one or more applications are configured to execute the method for analyzing the inclination state of the transmission tower.

[0042] The present invention also provides a computer program product, including computer instructions, and the computer instructions instruct a computer device to perform the operations corresponding to the method.

[0043] Implementing the present invention has the following beneficial effects: realizing the accurate identification and dynamic determination of the tower structure state, improving the discovery efficiency and response timeliness of inclination hidden dangers, and enhancing the safety and reliability of the operation of the transmission line. Specifically, stress analysis data in the tower inclination analysis data is obtained, and based on the stress analysis data, multiple force characteristics corresponding to the target transmission tower are obtained through the principles of structural statics and material mechanics; according to the multiple force characteristics, the dominant force factors corresponding to the target transmission tower are judged, so as to realize the directional identification and mechanical attribution of the causes of tower inclination, improve the pertinence of state analysis and the accuracy of model matching, and provide a reliable basis for subsequent risk assessment and differential governance strategies. By constructing different inclination state analysis models according to different dominant force factors, different modeling parameters and calculation paths are adopted to achieve a high degree of matching between the model structure and the actual force situation, thereby improving the accuracy, stability and engineering adaptability of inclination state assessment. Description of the Drawings

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0045] Figure 1 It is a schematic flowchart of a method for analyzing the inclination state of a transmission tower in Embodiment 1 of the present invention.

[0046] Figure 2 It is a schematic structural diagram of a device for analyzing the inclination state of a transmission tower in Embodiment 2 of the present invention.

[0047] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Specific embodiments

[0048] The following descriptions of the embodiments refer to the drawings to exemplify specific embodiments in which the present invention can be implemented.

[0049] Please refer to Figure 1 As shown, Embodiment 1 of the present invention provides a method for analyzing the inclination state of a transmission tower, including:

[0050] Step S1: Obtain the tower inclination analysis data of the target transmission tower through a preset monitoring device;

[0051] Step S2: Based on the tower inclination analysis data, perform stress field modeling and feature extraction to determine the dominant force factors of the transmission tower;

[0052] Step S3: Extract the inclination features of the transmission tower according to the tower inclination analysis data;

[0053] Step S4: Match the corresponding inclination state analysis model based on the type of the dominant force factor;

[0054] Step S5: Input the inclination features into the inclination state analysis model and output the determination result of the inclination state of the transmission tower.

[0055] Specifically, in step S1, when the user analyzes the inclination state of a transmission tower, the server can connect multiple preset monitoring devices through wired communication, wireless communication, satellite links or edge computing nodes, and obtain the tower inclination analysis data through the preset monitoring devices. In the embodiments of the present invention, the preset monitoring devices include, but are not limited to, tower base multi-point displacement monitoring sensors, tower body strain gauges, inclination sensors, laser rangefinders, three-dimensional accelerometers, high-precision GNSS positioning devices, temperature and humidity sensors, image vision devices, and fiber Bragg grating sensing systems; the tower inclination analysis data includes, but is not limited to, tower base settlement values, tower body inclination angles, node stress data, tower top displacement, conductor sag, principal stress direction, stress change rate, structural vibration frequency, temperature-strain coupling data, and ground surface inclination trend, etc. The server can periodically or real-time obtain the above multi-source heterogeneous data and automatically converge it to the structural health database as the input basis for the subsequent analysis model.

[0056] In step S2, stress field modeling and feature extraction are performed on the obtained tower inclination analysis data. By identifying the stress concentration area, principal stress direction, stress gradient change, and time series evolution trend, it is determined whether the inclination of the target transmission tower is mainly caused by foundation settlement, uneven structural stress, or the coupling of both, so as to determine the corresponding dominant force factor.

[0057] In a possible implementation manner, step S2 specifically includes:

[0058] Obtain the stress analysis data in the tower inclination analysis data, where the stress analysis data includes spatial stress distribution data, stress change gradient data, and principal stress direction evolution data;

[0059] Based on the stress analysis data, obtain multiple force characteristics corresponding to the target transmission tower through the principles of structural statics and material mechanics;

[0060] According to the multiple force characteristics, determine the dominant force factor corresponding to the target transmission tower.

[0061] Specifically, the server first extracts key stress-related indicators from the tilt analysis data, including the stress magnitude and direction distribution of different measurement points in three-dimensional space, the stress change gradient along the tower height or plane direction, the evolution trajectory of the principal stress direction over time or structural position, etc., and maps them into the structural model of the iron tower to form a stress field tensor. Subsequently, based on the principles of structural statics, the force path of the component is analyzed, and at the same time, the relationship between stress and strain is evaluated in combination with the principles of material mechanics, so as to obtain multiple force characteristics reflecting the structural response state. These characteristics include but are not limited to the stress concentration degree in the tower base area and the tower body area, the principal stress rotation rate, the abnormal distribution of the bending moment in the middle section of the tower body, the sudden change of the node force, the uneven strain distribution, etc. Further, through feature matching and similarity calculation, the current force characteristics are compared with the preset force mode feature set. If the degree of coincidence between multiple key force characteristics and the feature set of a certain dominant factor exceeds the preset threshold, it is determined that the dominant force factor of the current iron tower belongs to this type of factor, such as the uneven foundation reaction force factor, the upper structure force imbalance factor, or the foundation-structure coupling factor.

[0062] In a possible implementation manner, judging the dominant force factor corresponding to the target transmission iron tower according to the multiple force characteristics specifically includes:

[0063] Obtain the preset force feature set corresponding to the preset dominant factor corresponding to the dominant force factor;

[0064] Obtain a first target force characteristic and a second target force characteristic, where the first target force characteristic is any one of the multiple force characteristics, and the second target force characteristic is any one of the preset force feature sets;

[0065] If it is confirmed that the first target force characteristic and the second target force characteristic meet the preset similarity condition, then use the first target force characteristic as the matching feature item, and the preset similarity condition is that the similarity value between the first target force characteristic and the second target force characteristic is greater than the preset similarity threshold;

[0066] Count the number of the matching feature items among the multiple force characteristics;

[0067] If it is confirmed that the number of the matching feature items is greater than or equal to the preset number, then confirm that the dominant force factor is the force factor corresponding to the target transmission iron tower.

[0068] Specifically, after obtaining multiple current actual force characteristics of the target transmission tower, any one of the force characteristics is selected as the first target force characteristic, and any one characteristic is selected from each type of preset characteristic set as the second target force characteristic. Then, through similarity calculation methods such as cosine similarity, inverse of Euclidean distance, and included angle of eigenvectors, it is judged whether the first target force characteristic and the second target force characteristic meet the preset similarity condition. If the similarity value is higher than the set threshold, the first target force characteristic is marked as a matching characteristic item. Subsequently, the number of matching characteristic items determined among all the force characteristics is counted and compared with the preset matching quantity threshold corresponding to this dominant factor category. If the number is greater than or equal to the set threshold, it can be determined that this dominant factor is the force main control mechanism corresponding to the current target transmission tower.

[0069] It should be noted that in the embodiment of the present invention, the force dominant factors include foundation main control factors, upper structure main control factors, and multi-source coupling factors. Therefore, for different force dominant factors, different preset quantities can be set, which specifically need to be set according to actual requirements. For example, the stress concentration is obvious in the tower base area and the principal stress direction is constant, etc., so the corresponding preset number of matching characteristic items can be set relatively low; for the upper structure main control factors, since their force characteristics involve non-symmetric changes at multiple points inside the structure and the stress characteristics are more complex, their preset quantity should be relatively high to ensure the accuracy of matching and the reliability of judgment. For multi-source coupling factors, because their force characteristics have the dual characteristics of foundation changes and structural responses, in order to avoid misjudgment, it is advisable to set a higher matching quantity threshold and appropriately introduce a decentralized judgment mechanism to ensure that sufficient matching of multiple types of characteristics is achieved simultaneously before the attribution can be finally confirmed.

[0070] For example, after the server collects the stress analysis data of a certain tower, eight key force characteristics are extracted, including significant stress concentration at the right rear side of the tower base, the principal stress direction of the tower body being basically the same along the height, the principal stress rotation rate in the foundation area being close to zero, and the included angle between the principal stress directions of the tower top and the tower base being less than 5°. The system matches them with the force characteristic set corresponding to the "uneven foundation reaction force factor" and finds that six of these characteristics have a similarity higher than the set threshold (such as 0.85) with the corresponding items in the characteristic set. The matching threshold set by the system is five, so it can be determined that the current main cause of the inclination of this tower belongs to the "uneven foundation reaction force factor". This method combines the quantifiability of feature expression and the robustness of matching rules, and also has strong adaptability and engineering practicability under complex structural conditions.

[0071] In step S3, first, preprocessing operations are performed on the tilt analysis data of the iron tower to obtain cleaned data. The preprocessing operations include outlier removal operations, missing value filling operations, data smoothing processing operations, and time synchronization alignment operations. Among them, the outlier removal operation removes data points beyond a reasonable range of change by setting physical limit intervals of stress or displacement, statistical distribution thresholds, or sliding window discrimination methods to prevent extreme measurement values from interfering with subsequent analysis; the missing value filling operation reasonably completes the missing values through historical time series interpolation, spatial neighboring point estimation, or an estimation model based on the sensor type to ensure the integrity of the data dimension; the data smoothing processing operation uses methods such as moving average, exponential weighting, or wavelet denoising to reduce short-term violent fluctuations and retain the trend characteristics of the data; the time synchronization alignment operation ensures the collaborative analysis of multi-channel data on a unified time axis through standardization of timestamps of various data sources, unification of sampling frequencies, and interpolation alignment.

[0072] After the preprocessing is completed, multi-dimensional feature extraction can be performed based on the cleaned data, including but not limited to the tower base settlement surface, the displacement vector at the top of the tower body, the strain change at the node, the principal stress direction vector, the structural deformation mode characteristics, the tilt angle, the tilt direction, the dynamic change rate, and its derivative indicators, etc. On this basis, a tilt feature vector set can be constructed to quantitatively describe the deformation trend, the stability of the tilt state, and the spatial offset path of the target transmission iron tower.

[0073] In step S4, by analyzing the dominant factors of the forces acting on the target transmission iron tower, it is classified into basic main control factors, upper structure main control factors, or multi-source coupling factors, and accordingly, the corresponding tilt state analysis model is selected or constructed. Different types of dominant factors of the forces acting on the tower reflect the core driving mechanisms of the tower structure response. Therefore, the corresponding analysis models have differences in the input parameter structure, calculation path, and response function. For example, when the dominant factor of the forces acting on the tower is the basic main control factor, the tilt state analysis model is constructed with settlement difference, non-uniformity of foundation stiffness, and surface tilt trend as the dominant factors; when the dominant factor of the forces acting on the tower is the upper structure main control factor, the tilt state analysis model is constructed with structural member force imbalance, local stress concentration, and main material stiffness change as the dominant factors; when the dominant factor of the forces acting on the tower is the multi-source coupling factor, the tilt state analysis model is constructed by combining regional modeling and response coupling.

[0074] In an embodiment of the present invention, a database can be constructed to store different force-dominant factors, different tilt state analysis models, and the corresponding relationships between the force-dominant factors and the tilt state analysis models. In this database, each set of data records includes a force-dominant factor identifier, the structural parameters of the corresponding model, the model type, the input and output dimensions, and the historical adaptation performance indicators. After receiving the force-dominant factor determination result, the system can automatically retrieve the most suitable tilt state analysis model from the database, thereby improving the analysis efficiency and accuracy.

[0075] In addition, this database supports dynamic updates and model iterative optimization. For example, the structural parameters of the model can be retrained based on newly added monitoring data to correct the coefficients of the response function; the model performance can be scored and ranked through model evaluation indicators such as the residual rate, goodness of fit, and prediction error; an expert verification mechanism or a simulation comparison mechanism can also be introduced to achieve regular evaluation and elimination updates of the model adaptability, ensuring that the models stored in the database always maintain high adaptability and engineering effectiveness for different force conditions and structural states.

[0076] In step S5, after completing the identification of the force-dominant factor and the selection of the model, the tilt characteristics obtained in step S3 are used as input variables and input into the selected tilt state analysis model. The model performs comprehensive operations on the input characteristics to calculate the tilt value of the target transmission tower in the current state. This tilt value can be the top displacement, tilt angle, structural offset vector modulus length, or their weighted combination, depending on the model output type and structural configuration. Subsequently, according to the numerical interval to which the calculated tilt value belongs, the tilt state level of the current transmission tower is determined. For example, when the tilt value is greater than 0 and less than the first tilt threshold, the tilt state is determined to be a slightly controllable tilt; when the tilt value is greater than or equal to the first tilt threshold and less than the second tilt threshold, the tilt state is determined to be a moderate tilt state; when the tilt value is greater than or equal to the second tilt threshold, the tilt state is determined to be a severely unstable tilt state. The settings of the above tilt states can be customized according to the statistical results of historical monitoring data, the safety limits of the maximum allowable offset in the design specifications, or in combination with the adaptability requirements of the structural safety margin and the operating environment. In addition, different types of towers (such as straight towers, corner towers, terminal towers, etc.) have differences in structural forces and tilt tolerances, and the corresponding threshold settings should also be customized in combination with factors such as tower type, voltage level, foundation type, and line importance to improve the engineering rationality and safety sensitivity of tilt state determination. The system can also perform dynamic threshold adjustment through data accumulation, optimize the classification boundary based on machine learning methods, improve the timeliness and accuracy of the judgment results, and thus achieve intelligent classification and refined monitoring of the tower state.

[0077] For the calculation of the inclination value, when the force-dominant factor is the foundation main control factor, the inclination state analysis model is constructed with settlement difference, foundation stiffness non-uniformity, and surface inclination trend as the dominant factors, and the corresponding inclination value is calculated through this model. The calculation method is as follows:

[0078]

[0079] Among them, θ1 is the corresponding inclination value calculated when the force-dominant factor is the foundation main control factor, Δs is the settlement difference, H is the nominal height of the target transmission tower, represents the foundation deformation gradient, ΔE d represents the foundation stiffness non-uniformity, E davg represents the average deformation modulus of the foundation, i is the surface inclination trend, and β1 is the empirical coefficient for correcting the corresponding weight of the surface inclination trend.

[0080] When the force-dominant factor is the upper structure main control factor, the inclination state analysis model is constructed with structural member force imbalance, local stress concentration, and main material stiffness change as the dominant factors, and the corresponding inclination value is calculated through this model. The calculation method is as follows:

[0081]

[0082] Among them, θ2 is the corresponding inclination value calculated when the force-dominant factor is the upper structure main control factor, M(z) is the bending moment at the tower height z, E(z) is the elastic modulus at the tower height z, I(z) is the cross-sectional moment of inertia at the tower height z, γ1 and γ2 are the gain coefficients of structural imbalance and stress deviation, ΔF is the structural force imbalance degree, and m is the number of members in the upper structure, and the members include but are not limited to tower columns, cross arms, diagonal braces, etc., F n is the measured axial force corresponding to the nth member among them, is the average value of the measured axial forces of m evaluated members. The larger ΔF is, the more unbalanced the structure is. ∑F is the sum of the measured axial forces of m evaluated members, σ max is the maximum stress, that is, the maximum value among the stress values obtained by measurement or simulation of all evaluated members in the upper structure, usually the axial stress, σ mean is the average stress, that is, the arithmetic average of the stress values obtained by measurement or simulation of all evaluated members in the upper structure.

[0083] When the force-dominant factor is the multi-source coupling factor, the inclination state analysis model is constructed by combining zone modeling and response coupling, and the corresponding inclination value is calculated through this model. The calculation method is as follows:

[0084]

[0085] Wherein, θ3 is the corresponding inclination value calculated when the force-dominant factor is the multi-source coupling factor. represents the change rate of the first force corresponding to the target transmission tower with respect to time when the force-dominant factor is the basic main control factor; represents the change rate of the second force corresponding to the target transmission tower with respect to time when the force-dominant factor is the upper structure main control factor. represents the angle between the first force and the second force, and λ1, λ2, and λ3 are coupling weight coefficients.

[0086] By adopting the above method, this application obtains the tower inclination analysis data corresponding to the target transmission tower through a preset monitoring device; based on the tower inclination analysis data, obtains the force-dominant factor corresponding to the target transmission tower through stress analysis; based on the tower inclination analysis data, obtains the inclination characteristics corresponding to the target transmission tower; based on the force-dominant factor, obtains the inclination state analysis model corresponding to the target transmission tower; inputs the inclination characteristics into the inclination state analysis model, and outputs the inclination state corresponding to the target transmission tower, thereby realizing the accurate identification and dynamic determination of the tower structure state, improving the discovery efficiency and response timeliness of inclination hazards, and enhancing the safety and reliability of the operation of the transmission line.

[0087] Please refer to Figure 2 shown in FIG. Embodiment II of the present invention provides a device for analyzing the inclination state of a transmission tower, including an acquisition module 21 and a processing module 22, wherein,

[0088] The acquisition module 21 is configured to obtain the tower inclination analysis data corresponding to the target transmission tower through a preset monitoring device; perform stress field modeling and feature extraction based on the tower inclination analysis data to determine the force-dominant factor of the transmission tower; extract the inclination characteristics of the transmission tower according to the tower inclination analysis data.

[0089] The processing module 22 is configured to match the corresponding inclination state analysis model based on the type of the force-dominant factor; input the inclination characteristics into the inclination state analysis model, and output the inclination state determination result of the transmission tower.

[0090] In a possible implementation manner, the acquisition module 21 is configured to obtain the force-dominant factor corresponding to the target transmission tower through stress analysis based on the tower inclination analysis data, specifically including: obtaining the stress analysis data in the tower inclination analysis data, where the stress analysis data includes spatial stress distribution data, stress change gradient data, and principal stress direction evolution data; based on the stress analysis data, obtaining multiple force characteristics corresponding to the target transmission tower through the principles of structural statics and material mechanics; and judging the force-dominant factor corresponding to the target transmission tower according to the multiple force characteristics.

[0091] In a possible implementation manner, the obtaining module 21 is configured to determine the dominant force factor corresponding to the target transmission tower according to multiple force characteristics, which specifically includes: obtaining a preset force characteristic set corresponding to the dominant force factor; obtaining a first target force characteristic and a second target force characteristic, where the first target force characteristic is any one of the multiple force characteristics, and the second target force characteristic is any one of the preset force characteristic sets; if it is confirmed that the first target force characteristic and the second target force characteristic meet a preset similarity condition, then taking the first target force characteristic as a matching characteristic item, and the preset similarity condition is that the similarity value between the first target force characteristic and the second target force characteristic is greater than a preset similarity threshold; counting the number of matching characteristic items among the multiple force characteristics; if it is confirmed that the number of matching characteristic items is greater than or equal to a preset number, then confirming that the dominant force factor is the force factor corresponding to the target transmission tower.

[0092] In a possible implementation manner, the obtaining module 21 is configured to obtain the inclination characteristic corresponding to the target transmission tower based on the tower inclination analysis data, which specifically includes: performing a preprocessing operation on the tower inclination analysis data to obtain cleaned data, and the preprocessing operation includes an outlier removal operation, a missing value filling operation, a data smoothing processing operation, and a time synchronization alignment operation; performing multi-dimensional feature extraction on the cleaned data to obtain the inclination characteristic corresponding to the target transmission tower.

[0093] In a possible implementation manner, the dominant force factors include a foundation main control factor, an upper structure main control factor, and a multi-source coupling factor. The processing module 22 is configured to obtain an inclination state analysis model corresponding to the target transmission tower based on the dominant force factors, which specifically includes: when the dominant force factor is the foundation main control factor, constructing an inclination state analysis model with settlement difference, non-uniformity of foundation stiffness, and surface inclination trend as the dominant factors; when the dominant force factor is the upper structure main control factor, constructing an inclination state analysis model with structural member force imbalance, local stress concentration, and main member stiffness change as the dominant factors; when the dominant force factor is the multi-source coupling factor, constructing an inclination state analysis model by combining zone modeling and response coupling.

[0094] In a possible implementation manner, the processing module 22 is configured to input the inclination characteristic into the inclination state analysis model and output the inclination state corresponding to the target transmission tower, which specifically includes: inputting the inclination characteristic into the inclination state analysis model and outputting the inclination value corresponding to the target transmission tower; outputting the inclination state corresponding to the target transmission tower according to the inclination value.

[0095] In a possible implementation, the processing module 22 is configured to input the inclination feature into the inclination state analysis model and output the inclination value corresponding to the target transmission tower when the force dominant factor is the basic dominant factor, specifically including: calculating the inclination value corresponding to the target transmission tower according to the following formula:

[0096]

[0097] where θ1 is the corresponding inclination value calculated when the force dominant factor is the basic dominant factor, Δs is the settlement difference, H is the nominal height of the target transmission tower, represents the foundation deformation gradient, ΔE d represents the non-uniformity of foundation stiffness, E davg represents the average deformation modulus of the foundation, i is the surface inclination trend, and β1 is an empirical coefficient for correcting the weight corresponding to the surface inclination trend.

[0098] It should be noted that when the device provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In practical applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be repeated here.

[0099] Corresponding to the transmission tower inclination state analysis method described in the first embodiment of the present invention, the third embodiment of the present invention further provides a transmission tower inclination state analysis device, including:

[0100] One or more processors;

[0101] A memory;

[0102] One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the transmission tower inclination state analysis method described in the first embodiment of the present invention.

[0103] Corresponding to the transmission tower inclination state analysis method described in the first embodiment of the present invention, the fourth embodiment of the present invention further provides a computer program product, including computer instructions, and the computer instructions instruct the computer device to execute the operations corresponding to the transmission tower inclination state analysis method described in the first embodiment of the present invention.

[0104] Preferably, the processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may also be any conventional processor. The processor is the control center of the device and connects various parts of the device through various interfaces and circuits.

[0105] The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc., and the data storage area can store relevant data, etc. In addition, the memory may be a high-speed random access memory, or may also be a non-volatile memory, such as a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, etc., or the memory may also be other volatile solid-state storage devices.

[0106] It should be noted that the above device may include, but is not limited to, a processor and a memory, which can be understood by those skilled in the art.

[0107] As Figure 3 shown, an embodiment of the present invention further provides an electronic device, including: at least one processor 301, at least one communication bus 302, a user interface 303, at least one network interface 304, and a memory 305.

[0108] Among them, the communication bus 302 is used to implement connection communication between these components.

[0109] Among them, the user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0110] Among them, the network interface 304 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0111] Among them, the processor 301 may include one or more processing cores. The processor 301 connects various parts within the entire server through various interfaces and lines, and executes various functions of the server and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by invoking the data stored in the memory 305. Optionally, the processor 301 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 301 may integrate a combination of one or more of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 301 and may be implemented separately by a single chip.

[0112] Among them, the memory 305 may include random access memory (RAM) and may also include read-only memory. Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store the data involved in the above-mentioned various method embodiments. Optionally, the memory 305 may further be at least one storage device located far from the aforementioned processor 301. Refer to Figure 3 , the memory 305, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for analyzing the tilt state of a transmission tower based on stress analysis.

[0113] In Figure 3In the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; while the processor 301 can be used to call the transmission tower inclination state analysis application program stored in the memory 305, and when executed by one or more processors 301, the electronic device is caused to execute one or more of the methods as described in the foregoing embodiments. It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0114] Regarding the working principle and process of the above embodiments, refer to the description of Embodiment 1 of the present invention above, and details will not be repeated here.

[0115] From the above description, it can be seen that compared with the prior art, the beneficial effects of the present invention are as follows: It realizes the accurate identification and dynamic determination of the tower structure state, improves the discovery efficiency and response timeliness of inclination hazards, and enhances the safety and reliability of the operation of the transmission line. Specifically, stress analysis data in the tower inclination analysis data is obtained, and based on the stress analysis data, multiple force characteristics corresponding to the target transmission tower are obtained through the principles of structural statics and material mechanics; according to the multiple force characteristics, the dominant force factor corresponding to the target transmission tower is judged, so as to realize the directional identification and mechanical attribution of the cause of the tower inclination, improve the pertinence of the state analysis and the accuracy of model matching, and provide a reliable basis for subsequent risk assessment and differential treatment strategies. By constructing different inclination state analysis models according to different dominant force factors, different modeling parameters and calculation paths are adopted to achieve a high degree of matching between the model structure and the actual force condition, thereby improving the accuracy, stability and engineering adaptability of the inclination state assessment.

[0116] The above-disclosed are only the preferred embodiments of the present invention, and of course, the scope of the rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A method for analyzing the inclination state of a transmission tower, characterized in that Including: Step S1: Obtain the tower tilt analysis data of the target transmission tower through a preset monitoring device; Step S2: Based on the tower tilt analysis data, perform stress field modeling and feature extraction to determine the dominant force factors of the transmission tower; Step S3: Extract the tilt features of the transmission tower according to the tower tilt analysis data; Step S4: Match the corresponding tilt state analysis model based on the type of the dominant force factor; Step S5: Input the tilt features into the tilt state analysis model and output the determination result of the tilt state of the transmission tower.

2. The method according to claim 1, wherein The specific content of step S2 includes: Obtain the stress analysis data in the tower tilt analysis data, where the stress analysis data includes spatial stress distribution data, stress change gradient data, and principal stress direction evolution data; Based on the stress analysis data, obtain multiple force characteristics corresponding to the target transmission tower through the principles of structural statics and material mechanics; Judge the dominant force factors corresponding to the target transmission tower according to the multiple force characteristics.

3. The method according to claim 2, characterized in that, The step of judging the dominant force factors corresponding to the target transmission tower according to the multiple force characteristics specifically includes: Obtain the preset force characteristic set corresponding to the preset dominant factor corresponding to the dominant force factor; Obtain the first target force characteristic and the second target force characteristic. The first target force characteristic is any one of the multiple force characteristics, and the second target force characteristic is any one of the preset force characteristic sets; If it is confirmed that the first target force characteristic and the second target force characteristic meet the preset similarity condition, then use the first target force characteristic as the matching characteristic item. The preset similarity condition is that the similarity value between the first target force characteristic and the second target force characteristic is greater than the preset similarity threshold; Count the number of the matching characteristic items among the multiple force characteristics; If it is confirmed that the number of the matching characteristic items is greater than or equal to the preset number, then confirm that the dominant force factor is the force factor corresponding to the target transmission tower.

4. The method according to claim 1, characterized in that The specific content of step S3 includes: Perform preprocessing operations on the tower tilt analysis data to obtain cleaned data. The preprocessing operations include outlier removal operations, missing value filling operations, data smoothing processing operations, and time synchronization alignment operations; Perform multi-dimensional feature extraction on the cleaned data to obtain the tilt features corresponding to the target transmission tower.

5. The method according to claim 1, wherein The dominant force factors include foundation main control factors, upper structure main control factors, and multi-source coupling factors. The specific content of step S4 includes: When the dominant force factor is the foundation main control factor, construct the tilt state analysis model with settlement difference, foundation stiffness non-uniformity, and surface tilt trend as the dominant factors; When the dominant force factor is the upper structure main control factor, construct the tilt state analysis model with structural member force imbalance, local stress concentration, and main material stiffness change as the dominant factors; When the dominant force factor is the multi-source coupling factor, use zone modeling and response coupling for combined construction of the tilt state analysis model.

6. The method according to claim 5, characterized in that, The specific steps of step S5 include: Input the inclination feature into the inclination state analysis model and output the inclination value corresponding to the target transmission tower; Output the inclination state corresponding to the target transmission tower according to the inclination value.

7. The method according to claim 6, characterized in that, When the force-dominant factor is the foundation main control factor, the step of inputting the inclination feature into the inclination state analysis model and outputting the inclination value corresponding to the target transmission tower specifically includes: Calculate the inclination value corresponding to the target transmission tower according to the following formula: Wherein, θ1 is the corresponding inclination value calculated when the force-dominant factor is the basic main control factor, Δs is the settlement difference, H is the nominal height of the target transmission tower, represents the foundation deformation gradient, ΔE d represents the non-uniformity of foundation stiffness, E davg represents the average deformation modulus of the foundation, i is the surface inclination trend, and β1 is an empirical coefficient for correcting the corresponding weight of the surface inclination trend.

8. An analysis device for the inclination state of a transmission tower, characterized in that, including: An acquisition module, configured to acquire the tower inclination analysis data of the target transmission tower through a preset monitoring device; Based on the tower inclination analysis data, perform stress field modeling and feature extraction to determine the force-dominant factor of the transmission tower; Extract the inclination feature of the transmission tower according to the tower inclination analysis data; A processing module, configured to match a corresponding inclination state analysis model based on the type of the force-dominant factor; input the inclination feature into the inclination state analysis model and output the inclination state determination result of the transmission tower.

9. An analysis device for the inclination state of a transmission tower, characterized in that, including: One or more processors; A memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, and the one or more applications are configured to execute the transmission tower inclination state analysis method according to any one of claims 1 to 7.

10. A computer program product, characterized in that, including computer instructions, the computer instructions instructing the computer device to perform the operations corresponding to the method according to any one of claims 1 to 7.

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