Electric power tower settlement attitude monitoring method, system and equipment and storage medium

Abstract

The invention relates to an electric power tower settlement attitude monitoring method, system and device and a storage medium. At present, the method for evaluating the actual stable state of the tower is single in data. The method comprises the following steps: acquiring first attitude information of a target tower at the current moment, and generating a first stability score of the target tower; generating a first environmental influence coefficient of the target tower within a first preset duration; generating a second environmental influence coefficient of the associated tower within the first preset time length; generating a correlation influence coefficient of the target tower; generating a posture natural variation of the target tower within a first preset duration; and generating a second stability score of the target tower, adjusting the second stability score, generating a target stability score, and generating early warning information when the target stability score is lower than a preset score. According to the method, the state of the tower is considered, influence factors of multiple dimensions such as environmental conditions, correlation influences and natural changes are included, and the actual stable state of the tower can be reflected more accurately.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment monitoring, in particular to a power tower settlement posture monitoring method, system, device and storage medium. BACKGROUND

[0002] The stability of the transmission line tower is directly related to the safe operation of the power system. Due to the influence of natural disasters, changes in geological conditions and other factors, the tower may settle or tilt, and if it cannot be found and handled in time, it may lead to serious accidents such as transmission line rupture and tower collapse. Therefore, real-time monitoring of the settlement and posture change of the tower and timely discovery of potential risks are of great significance to the safe operation of the power grid.

[0003] At present, tilt sensors, displacement sensors and other devices are usually installed on the tower to collect posture data such as tilt angle and settlement of the tower in real time, and the stability state of the tower is determined according to the posture data. However, the above method only considers the posture change of the tower itself, and in complex geological conditions, the stability of the tower is often influenced by multiple factors, and it is difficult to accurately evaluate the actual stability state of the tower by relying on single posture data.

[0004] Therefore, there is an urgent need for a power tower settlement posture monitoring method that can accurately evaluate the actual stability state of the tower. SUMMARY

[0005] The purpose of the present application is to provide a power tower settlement posture monitoring method, system, device and storage medium to at least solve the problem of single data in the current method of evaluating the actual stability state of the tower.

[0006] In order to achieve the above purpose, the technical solution adopted by the present application is:

[0007] The power tower settlement posture monitoring method comprises:

[0008] Obtaining first posture information of a target tower at the current time, and generating a first stability score of the target tower according to the first posture information;

[0009] Obtaining first geographical features of the location where the target tower is located and first environmental information of the target tower within a first preset time period after the current time, and generating a first environmental influence coefficient of the target tower within the first preset time period by combining the first geographical features and the first environmental information;

[0010] Obtaining second geographical features of the location where the associated tower associated with the target tower is located and second environmental information of the associated tower within the first preset time period, and generating a second environmental influence coefficient of the associated tower within the first preset time period by combining the second geographical features and the second environmental information;

[0011] combine the second environmental influence coefficient and the second attitude information of the associated tower, to generate the associated influence coefficient of the target tower;

[0012] obtain the attitude change data of the target tower within a second preset time period before the current time, and generate the natural attitude change amount of the target tower within the first preset time period according to the attitude change data;

[0013] adjust the first stability score according to the natural attitude change amount, to generate a second stability score of the target tower, and adjust the second stability score in combination with the associated influence coefficient and the first environmental influence coefficient, to generate a target stability score; when the target stability score is lower than a preset score, generate a warning information.

[0014] Further, the combination of the first geographical feature and the first environmental information to generate the first environmental influence coefficient of the target tower within the first preset time period comprises:

[0015] determine the geological influence coefficient corresponding to the geological type of the first geographical feature from a preset geological influence coefficient reference table;

[0016] substitute the slope of the first geographical feature into a first preset formula to calculate a slope influence coefficient;

[0017] multiply the geological influence coefficient and the slope influence coefficient to generate a target geological influence coefficient;

[0018] combine the target geological influence coefficient and the first environmental information to generate the first environmental influence coefficient of the target tower within the first preset time period.

[0019] Further, the combination of the target geological influence coefficient and the first environmental information to generate the first environmental influence coefficient of the target tower within the first preset time period comprises:

[0020] determine the average soil moisture value of the position of the target tower within the first preset time period according to the first environmental information;

[0021] substitute the average soil moisture value into a second preset formula to calculate a soil moisture influence coefficient;

[0022] weight and sum the target geological influence coefficient and the soil moisture influence coefficient to generate the first environmental influence coefficient of the target tower within the first preset time period.

[0023] Further, the combining the second environmental influence coefficient and the second attitude information of the associated tower generates the associated influence coefficient of the target tower, including:

[0024] Obtaining distance information between the associated tower and the target tower;

[0025] According to the distance information, a corresponding distance attenuation coefficient is determined from a preset distance influence coefficient reference table;

[0026] According to the second attitude information of the associated tower, a second stability score of the associated tower is generated;

[0027] The second stability score of the associated tower, the second environmental influence coefficient and the distance attenuation coefficient are substituted into a third preset formula to generate the associated influence coefficient of the target tower.

[0028] Further, the second stability score of the target tower is generated by adjusting the first stability score according to the attitude natural change amount, including:

[0029] According to the attitude natural change amount, a predicted attitude offset amount of the target tower within the first preset time length is determined;

[0030] According to the predicted attitude offset amount, a correction factor is generated;

[0031] The correction factor is multiplied by the first stability score to generate the second stability score.

[0032] Further, the target stability score is generated by adjusting the second stability score in combination with the associated influence coefficient and the first environmental influence coefficient, including:

[0033] The associated influence coefficient is substituted into a fourth preset formula to calculate an associated adjustment factor;

[0034] The associated adjustment factor is multiplied by the second stability score to generate a third stability score;

[0035] According to the first environmental influence coefficient, the third stability score is adjusted to generate the target stability score.

[0036] Further, the target stability score is generated by adjusting the third stability score according to the first environmental influence coefficient, including:

[0037] The first environmental influence coefficient is substituted into a fifth preset formula to calculate an environmental adjustment factor;

[0038] multiplying the environmental adjustment factor and the third stability score to generate the target stability score.

[0039] A power tower settlement posture monitoring system, the monitoring system comprising:

[0040] A first obtaining module, configured to obtain first posture information of a target tower at a current time, and generate a first stability score of the target tower according to the first posture information;

[0041] A second obtaining module, configured to obtain first geographical features of a location where the target tower is located, and first environmental information of the target tower within a first preset time period after the current time, and generate a first environmental influence coefficient of the target tower within the first preset time period by combining the first geographical features and the first environmental information;

[0042] A third obtaining module, configured to obtain second geographical features of a location where an associated tower associated with the target tower is located, and second environmental information of the associated tower within the first preset time period, and generate a second environmental influence coefficient of the associated tower within the first preset time period by combining the second geographical features and the second environmental information;

[0043] A combining module, configured to combine the second environmental influence coefficient and second posture information of the associated tower to generate an associated influence coefficient of the target tower;

[0044] A fourth obtaining module, configured to obtain posture change data of the target tower within a second preset time period before the current time, and generate a posture natural change amount of the target tower within the first preset time period according to the posture change data;

[0045] An adjusting module, configured to adjust the first stability score according to the posture natural change amount to generate a second stability score of the target tower, and adjust the second stability score according to the associated influence coefficient and the first environmental influence coefficient to generate a target stability score, and generate a warning information when the target stability score is lower than a preset score.

[0046] An electronic device, comprising a processor, a memory, a user interface and a network interface, the memory is configured to store instructions, the user interface and the network interface are configured to communicate with other devices, and the processor is configured to execute the instructions stored in the memory to enable the electronic device to perform the method according to any one of the preceding methods.

[0047] A computer readable storage medium, the medium stores a computer program capable of being loaded by the processor and performing the method according to any one of the preceding methods.

[0048] Compared with the prior art, the present application has the following advantages:

[0049] The present application provides a power tower settlement posture monitoring method, system, device and storage medium, generates an initial stability score by acquiring the posture information of the target tower, generates an environmental influence coefficient in combination with geographical features and environmental information, considers the influence factors of associated towers, analyzes the natural change law according to historical posture change data, and finally obtains a target stability score through multi-level score adjustment. The comprehensive evaluation method of the present application not only considers the state of the tower itself, but also includes environmental conditions, associated influences and natural changes and other multi-dimensional influence factors, which can more accurately reflect the actual stability state of the tower. Through the preset score threshold, the early warning mechanism is triggered, potential risks can be found in time, reliable decision-making basis is provided for operation and maintenance personnel, the probability of false positives and false negatives is effectively reduced, and the actual stability state of the tower is accurately evaluated. BRIEF DESCRIPTION OF DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings of embodiments according to these drawings without creative labor.

[0051] Figure 1 is a flowchart of embodiment 1;

[0052] Figure 2 is a structural schematic diagram of embodiment 3;

[0053] In the figure, the following are identified:

[0054] 1-processor, 2-communication bus, 3-user interface, 4-network interface, 5-memory. DETAILED DESCRIPTION

[0055] In order to facilitate understanding of the present application, the present application will be described more fully below with reference to the related drawings. The preferred embodiments of the present application are shown in the drawings. However, the present application can be realized in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0056] It should be noted that like reference numerals and characters refer to like elements throughout the several views, and that, additionally, the first time a term is used in the detailed description, it is specifically defined for the application. Furthermore, the terms "comprise", "include", and the like, as well as their variations, are intended to cover a non-exclusive inclusion, such that a process, method, system, product, or apparatus that comprises a list of steps or units does not necessarily comprise only those steps or units but can include other steps or units not expressly listed or inherent to such process, method, product, or apparatus.

[0057] It should also be noted that, although a sequence of steps is involved in the method description, in some cases, the sequence can be performed in a different order than here, and should not be construed as a limitation on the sequence of steps.

[0058] Embodiment 1:

[0059] The embodiment provides a power tower settlement posture monitoring method, comprising the following steps:

[0060] S1: Obtain first posture information of a target tower at the current time, and generate a first stability score of the target tower according to the first posture information.

[0061] First, the first posture information of the target tower at the current time is obtained through the posture sensor arranged on the target tower, and the first posture information includes the inclination angle and the settlement depth of the tower. The inclination angle is measured by a gyroscope sensor (model JY901S); the settlement depth is obtained by combining the barometric altimeter (model BMP280) with the differential calculation method, and the settlement displacement value is calculated by comparing the current measured altitude with the initial altitude when the tower is installed.

[0062] After obtaining the first posture information, the stability state of the target tower is quantitatively evaluated.

[0063] Specifically, first, the inclination angle value is substituted into the preset angle-score mapping function to obtain the inclination score At the same time, the settlement depth value is substituted into the preset settlement-score mapping function to obtain the settlement score , wherein the mapping functions and are piecewise functions obtained based on a large amount of historical data statistical analysis, and different intervals use different calculation parameters to more accurately reflect the influence degree of posture change on the stability of the tower.

[0064] Then, according to the type (straight tower, strain tower, etc.) and height level of the target tower, the inclination weight and the settlement weight The two scores are weighted and summed to obtain a first stability score The score is in percentage, and the higher the score, the more stable the tower. The advantages of this scoring mechanism are: first, the standardized processing makes different types of posture data comparable; second, the introduction of weights makes the score more in line with the actual situation of different types of towers; finally, the percentage score is more intuitive and convenient for subsequent warning judgment.

[0065] S2: Obtain the first geographical feature of the location of the target tower and the first environmental information of the target tower within a first preset time period after the current time, and generate a first environmental influence coefficient of the target tower within the first preset time period based on the first geographical feature and the first environmental information.

[0066] The first geographical feature includes geological type and slope. The geological type is obtained through a geological survey report and verified by referring to the national geological information database. The slope is obtained by high-precision GPS and laser range finder measurement.

[0067] S201: Determine the geological influence coefficient corresponding to the geological type of the first geographical feature from a preset geological influence coefficient reference table.

[0068] The preset geological influence coefficient reference table includes a plurality of geological types and their corresponding geological influence coefficients.

[0069] The coefficient values in the reference table are determined based on a large amount of historical data statistical analysis, reflecting the influence degree of different geological conditions on tower stability. The geological influence coefficient corresponding to the geological type of the target tower is queried from the reference table as a basic parameter for subsequent calculation.

[0070] S202: Substitute the slope of the first geographical feature into a first preset formula to calculate the slope influence coefficient.

[0071] The first preset formula is: ,

[0072] Wherein: K is the slope influence coefficient, b is the base coefficient (usually takes the value 1), is the measured slope, is the preset reference slope (usually takes the value 5 degrees), is the slope coefficient (0.02 is taken according to the experience value).

[0073] The base coefficient b is set to 1, which represents the influence degree under the reference state. Selecting 1 as the reference value is convenient for understanding, indicating that there will be no additional influence on stability under standard conditions. Second, it is convenient for subsequent adjustment. When the actual slope deviates from the preset value, it can be easily calculated.

[0074] The formula uses The slope deviation is used to represent the deviation between the actual slope and the preset slope, and the preset slope The selection of 5 degrees is based on a large amount of engineering experience, and this angle is considered to be a relatively safe slope for tower construction. When the actual slope is greater than 5 degrees, the deviation is positive, indicating an increase in adverse effects; when the actual slope is less than 5 degrees, the deviation is negative, indicating a decrease in adverse effects.

[0075] Slope coefficient The slope coefficient is a key adjustment parameter that determines the sensitivity of the impact coefficient to slope changes. The slope coefficient is set to better reflect the actual impact of slope changes on tower stability. The selection of this value takes into account the following factors: when the slope increases by 1 degree, the impact coefficient increases by 0.02, which is consistent with the actual observed trend of stability decline; this coefficient neither exaggerates the impact of slope nor weakens its effect; this value is convenient for engineering calculation, avoiding overly complex decimals.

[0076] S203: Multiply the geological impact coefficient and the slope impact coefficient to generate the target geological impact coefficient.

[0077] S204: Combine the target geological impact coefficient and the first environmental information to generate the first environmental impact coefficient of the target tower within the first preset time.

[0078] By subdividing the geographical features into two specific indicators, geological type and slope, and using the geological impact coefficient table and the slope impact calculation formula to quantify their impact degree respectively, the evaluation of geographical features is more accurate; the calculation method of the slope impact coefficient considers the basic conditions, the deviation of the actual slope from the standard slope, and the change rate, which can accurately reflect the impact of different slope conditions on tower stability; by combining the impact factors of geology and slope to obtain a comprehensive geological impact index, and then combining environmental information to generate an environmental impact coefficient, the fine quantification of geographical environmental impact is realized, improving the accuracy and scientificity of environmental impact assessment.

[0079] Specifically, combining the target geological impact coefficient and the first environmental information to generate the first environmental impact coefficient of the target tower within the first preset time includes:

[0080] S2041: According to the first environmental information, determine the average soil moisture value of the target tower within the first preset time.

[0081] The first environmental information mainly includes weather forecast data within the first preset time (usually set to 72 hours), including rainfall, wind speed, temperature, and other meteorological elements. These data are obtained in real time through the forecast interface of the meteorological department, and the soil moisture data is particularly important, which is monitored in real time by the humidity sensor buried around the tower foundation.

[0082] S2042: Substitute the average value of soil humidity into the second preset formula to calculate a soil humidity influence coefficient.

[0083] The second preset formula is: ,

[0084] wherein M is the soil humidity influence coefficient, d is a reference coefficient (with a value of 1.0), H is the average value of soil humidity in the prediction period, is a preset soil humidity threshold value (usually 30%), is a soil humidity influence factor (with a value of 0.015).

[0085] S2043: Weighted sum the target geological influence coefficient and the soil humidity influence coefficient to generate a first environmental influence coefficient of the target tower in the first preset time length.

[0086] By obtaining the soil humidity data of the location where the target tower is located and calculating the average value in the prediction period, the influence degree of soil humidity on the tower stability is quantified by using a special calculation method, which comprehensively considers the reference condition, the deviation of the actual soil humidity from the standard threshold value and the influence degree, can accurately reflect the influence of soil humidity change on the tower stability, by weighting the soil humidity influence and the aforementioned geological influence, the final environmental influence coefficient is generated, realizing the differentiated processing of the influence degree of different environmental factors, making the environmental influence evaluation more comprehensive and accurate, effectively improving the reliability of the tower stability evaluation.

[0087] S3: Obtain a second geographical feature of a location where an associated tower associated with the target tower is located, and second environmental information of the associated tower in the first preset time length, and generate a second environmental influence coefficient of the associated tower in the first preset time length in combination with the second geographical feature and the second environmental information.

[0088] In this embodiment, the towers on the power transmission line are connected to each other through conductors, forming a whole system, and the stability change of any tower can affect the adjacent towers through the transmission of conductor tension, so the potential influence of the environmental conditions of the associated towers on the target tower needs to be considered, and the associated towers usually refer to the adjacent towers directly connected to the target tower, and in special terrain conditions, the influence of the secondary adjacent towers may also need to be considered.

[0089] S4: Generate an associated influence coefficient of the target tower in combination with the second environmental influence coefficient and the second attitude information of the associated tower.

[0090] In this embodiment, the stable state of the associated tower in the mechanical coupling system formed by the connection of the power towers through the wires can affect the target tower through the wire tension transmission, and the degree of the influence is not only related to the environmental conditions of the associated tower, but also closely related to its own attitude state and spatial position. Therefore, these factors need to be considered comprehensively, and the associated influence is quantified as the associated influence coefficient through a scientific calculation method.

[0091] S401: Obtain distance information between the associated tower and the target tower.

[0092] Firstly, the system obtains the accurate distance information between the associated tower and the target tower through the GPS positioning and ranging equipment. This distance is the basic parameter for evaluating the associated influence, because the transmission strength of the influence usually decays with the increase of the distance. The system presets a distance influence coefficient table, and the corresponding distance decay coefficient is queried from the table according to the measured distance. This table is obtained based on a large amount of engineering data statistical analysis, and reflects the decay law of the associated influence under different distances.

[0093] S402: Determine the corresponding distance decay coefficient from the preset distance influence coefficient table according to the distance information.

[0094] S403: Generate the second stability score of the associated tower according to the second attitude information of the associated tower.

[0095] At the same time, the system needs to evaluate the stable state of the associated tower. By analyzing the second attitude information (including the inclination angle, settlement amount, etc.) of the associated tower, the second stability score of the associated tower is generated according to the same scoring standard as the target tower. This score reflects the current stable state of the associated tower, and is an important input parameter for calculating the associated influence.

[0096] S404: Substitute the second stability score of the associated tower, the second environmental influence coefficient and the distance decay coefficient into the third preset formula to generate the associated influence coefficient of the target tower.

[0097] The third preset formula is: ,

[0098] Wherein, R is the associated influence coefficient, μ is the associated reference coefficient (usually taking the value 1), S is the stability score of the associated tower, E is the second environmental influence coefficient, λ is the distance decay factor (usually taking the value 0.005), and D is the distance between the associated tower and the target tower.

[0099] By obtaining the distance information between the associated tower and the target tower and introducing the distance attenuation coefficient, combining the stability score and the environmental influence coefficient of the associated tower, a calculation method considering the distance attenuation characteristics is used to quantify the associated influence. This method not only considers the stability state and environmental conditions of the associated tower itself, but also reasonably controls the transmission and attenuation of influence intensity through the reference coefficient and the distance attenuation factor, so that the evaluation of the associated influence is more in line with the actual law. This multi-factor coupled associated influence evaluation method can accurately reflect the actual influence degree of the state change of the associated tower on the target tower, and improves the accuracy of the tower group stability evaluation.

[0100] S5: Obtain the attitude change data of the target tower within a second preset time length before the current time, and generate the attitude natural change amount of the target tower within the first preset time length according to the attitude change data.

[0101] In this embodiment, the attitude change of the power tower generally presents certain gradualness and regularity, and the future change trend can be predicted by analyzing the historical data. The accurate prediction of this natural change trend is crucial for evaluating the stability of the tower, because it reflects the evolution direction and rate of the tower without external sudden factor interference.

[0102] S6: Adjust the first stability score according to the attitude natural change amount, generate the second stability score of the target tower, and adjust the second stability score in combination with the associated influence coefficient and the first environmental influence coefficient, generate the target stability score, and generate the warning information when the target stability score is lower than the preset score.

[0103] In this embodiment, in order to obtain more accurate tower stability evaluation results, the initial first stability score needs to be adjusted in multiple levels, considering the effects of natural change trend, associated influence and environmental factors. This step-by-step adjustment method can more comprehensively reflect the actual stability state of the tower and provide more reliable warning basis.

[0104] S601: Determine the predicted attitude offset of the target tower within the first preset time length according to the attitude natural change amount.

[0105] The system first identifies the natural change law in the tower attitude change based on historical monitoring data by using time series analysis method. This natural change includes periodic change caused by diurnal temperature difference, seasonal change, and gradual change process such as foundation settlement. By analyzing these natural change laws and combining the current monitoring data, the system can predict the attitude natural change trend of the target tower within the first preset time length (72 hours), and thus determine the predicted attitude offset.

[0106] S602: Generate a correction factor according to the predicted attitude offset.

[0107] The calculation of the predicted attitude offset amount adopts a polynomial regression model which comprehensively considers periodic changes and trend changes in historical data. The system calculates an expected attitude change amount in the next 72 hours through the model, and the change amount reflects the natural evolution process of the tower attitude under normal conditions.

[0108] The correction factor is negatively correlated with the predicted attitude offset amount. This design is based on the following consideration: when the predicted natural offset amount is large, it means that the currently observed attitude change is likely to be mainly caused by natural factors, and the actual stability risk is relatively small; when the predicted natural offset amount is small, it means that the currently observed attitude change is likely to be mainly caused by non-natural factors, and more attention needs to be paid to the potential risk.

[0109] The calculation of the correction factor adopts normalization processing, and the value range is usually between 0.8 and 1.2. When the predicted attitude offset amount is greater than the historical average level, the correction factor is less than 1, indicating that the risk assessment level is appropriately reduced; when the predicted attitude offset amount is less than the historical average level, the correction factor is greater than 1, indicating that the risk assessment level is increased.

[0110] S603: Multiply the correction factor by the first stability score to generate a second stability score.

[0111] By analyzing the natural change rule of the tower attitude, predicting the attitude offset trend in the future period, and designing an adjustment mechanism in which the correction factor is negatively correlated with the predicted attitude offset amount, this design can reasonably distinguish between natural changes and abnormal changes when adjusting the score, appropriately reduce the risk assessment level when the predicted natural offset amount is large, and increase the risk assessment level when the predicted natural offset amount is small, thereby avoiding false positives caused by natural changes. By multiplying the correction factor by the initial stability score to obtain the corrected score, the dynamic optimization of the tower stability assessment is realized, and the accuracy and reliability of the assessment result are improved.

[0112] S604: Substitute the correlation influence coefficient into the fourth preset formula to calculate a correlation adjustment factor.

[0113] The fourth preset formula is: ,

[0114] wherein: is the correlation adjustment factor, is the correlation sensitivity coefficient, and R is the correlation influence coefficient.

[0115] The reason why the fourth preset formula adopts a subtraction form is that when the correlation influence is negative, the correlation adjustment factor should be less than 1 to reduce the stability score; when the correlation influence is small, the correlation adjustment factor is close to 1, maintaining the original score level. The design of the formula considers that the linear structure is convenient for engineering application and parameter adjustment, and the correlation adjustment factor is calculated through The settings can control the strength of the correlation effect and ensure that the calculation results are within a reasonable range, avoiding over-amplification or under-amplification of the correlation effect.

[0116] S605: Multiply the correlation adjustment factor by the second stability score to generate the third stability score.

[0117] The calculated correlation adjustment factor is arithmetically multiplied with the second stability score to obtain the third stability score. This multiplication operation can maintain the continuity of the score and reasonably reflect the moderating effect of correlation on stability. The third stability score integrates factors from three levels: the state of the tower itself, the natural change trend, and the influence of the correlated tower.

[0118] S606: Adjust the third stability score based on the first environmental impact coefficient to generate the target stability score.

[0119] Based on the first environmental impact coefficient calculated in the aforementioned steps, the third stability score is further adjusted to generate the final target stability score. This adjustment process uses a similar multiplication operation method to ensure that the environmental impact is appropriately reflected in the final score. The environmental impact coefficient reflects the comprehensive impact of environmental factors such as geological conditions and soil moisture on the stability of the tower.

[0120] By introducing a correlation sensitivity coefficient to calculate a correlation adjustment factor and adopting a step-by-step adjustment approach, the stability score is first corrected using the correlation adjustment factor, and then further adjusted based on the environmental impact coefficient. This adjustment mechanism allows correlation and environmental impact to have a reasonable regulatory effect on the score, avoiding mutual interference from multiple influencing factors. By setting the correlation sensitivity coefficient, the intensity of the correlation effect can be flexibly controlled, making the score adjustment more accurate. This multi-level score adjustment method can comprehensively reflect the effect of various influencing factors on tower stability, improving the accuracy and reliability of the final assessment results.

[0121] Specifically, based on the first environmental impact coefficient, the third stability score is adjusted to generate the target stability score, including:

[0122] S6061: Substitute the first environmental impact coefficient into the fifth preset formula to calculate the environmental adjustment factor.

[0123] The fifth preset formula is: ,

[0124] in: As an environmental adjustment factor, E is the environmental sensitivity coefficient (usually taken as 0.15), and E is the first environmental impact coefficient.

[0125] The reason for designing the fifth preset formula in the form of subtraction is that when the environmental condition deteriorates (the value of E increases), the environmental adjustment factor should be reduced accordingly to reduce the stability score; when the environmental condition is good (the value of E is smaller), the environmental adjustment factor is close to 1, and the score level is maintained. This design not only conforms to the engineering practice experience, but also facilitates parameter adjustment and system maintenance.

[0126] S6062: multiplying the environmental adjustment factor and the third stability score to generate a target stability score.

[0127] By introducing the environmental sensitivity coefficient to calculate the environmental adjustment factor, a quantitative relationship between environmental influence and stability score is established. This design enables the change of environmental conditions to have a reasonable adjustment effect on the score through the environmental adjustment factor. When the environmental condition deteriorates, the score is appropriately reduced; when the environmental condition is good, the score level is maintained. By setting the environmental sensitivity coefficient, the strength of environmental influence can be accurately controlled to avoid overestimation or weakening of environmental influence. Multiplying the environmental adjustment factor and the score to obtain the final target stability score realizes the fine quantization of environmental influence and improves the accuracy of tower stability evaluation.

[0128] In this embodiment, the initial stability score is generated by obtaining the attitude information of the target tower, and the environmental influence coefficient is generated by combining the geographical features and environmental information. Meanwhile, the influence factors of the associated towers are considered. Finally, the target stability score is obtained by adjusting the multi-level score according to the historical attitude change data to analyze the natural change law. This comprehensive evaluation method not only considers the state of the tower itself, but also includes environmental conditions, associated influences, and natural changes and other multi-dimensional influence factors, which can more accurately reflect the actual stability state of the tower. By triggering the early warning mechanism through the preset score threshold, potential risks can be discovered in time to provide reliable decision basis for operation and maintenance personnel, effectively reducing the probability of false positives and false negatives, and accurately evaluating the actual stability state of the tower.

[0129] Embodiment 2:

[0130] The embodiment provides a power tower settlement posture monitoring system, comprising:

[0131] A first acquisition module is configured to acquire first attitude information of a target tower at a current time, and generate a first stability score of the target tower based on the first attitude information.

[0132] A second acquisition module is configured to acquire first geographical features of a location where the target tower is located, and first environmental information of the target tower within a first preset time period after the current time, and generate a first environmental influence coefficient of the target tower within the first preset time period based on the first geographical features and the first environmental information.

[0133] The third obtaining module is configured to obtain a second geographical feature of a position where an associated tower associated with the target tower is located and second environmental information of the associated tower within a first preset time length, and generate a second environmental influence coefficient of the associated tower within the first preset time length by combining the second geographical feature and the second environmental information.

[0134] The combination module is configured to combine the second environmental influence coefficient and second attitude information of the associated tower to generate an associated influence coefficient of the target tower.

[0135] The fourth obtaining module is configured to obtain attitude change data of the target tower within a second preset time length before the current time, and generate an attitude natural change amount of the target tower within the first preset time length according to the attitude change data.

[0136] The adjustment module is configured to adjust the first stability score according to the attitude natural change amount to generate a second stability score of the target tower, and adjust the second stability score according to the associated influence coefficient and the first environmental influence coefficient to generate a target stability score, and generate a warning information when the target stability score is lower than a preset score.

[0137] Embodiment 3:

[0138] The embodiment provides an electronic device, which includes a processor 1, a memory 5, a user interface 3 and a network interface 4. The memory 5 is configured to store instructions. The user interface 3 and the network interface 4 are configured to communicate with other devices. The processor 1 is configured to execute the instructions stored in the memory 5, so that the electronic device executes the method in the embodiment 1. The processor 1, the memory 5, the user interface 3 and the network interface 4 are connected and communicate through a communication bus 2.

[0139] The user interface 3 can be a display screen or a standard wired interface or a wireless interface.

[0140] The network interface 4 can be a standard wired interface or a wireless interface (such as a WI-FI interface).

[0141] The processor 1 includes one or more processing cores. The processor 1 connects various parts in the entire electronic device (such as a server) through various interfaces and lines, executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 5 and calling data stored in the memory 5.

[0142] The memory 5 includes a random access memory (RAM) and can also include a read-only memory (ROM). Optionally, the memory 5 includes a non-transitory computer-readable storage medium. The memory 5 is configured to store instructions, programs, codes, code sets, or instruction sets. The memory 5 can include a program storage area and a data storage area. The program storage area can store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the embodiment 1, etc.

[0143] Embodiment 4

[0144] The embodiment provides a computer-readable storage medium. The medium stores a computer program capable of being loaded by a processor 1 and executing the method in the embodiment 1.

[0145] The computer-readable storage medium can include, but is not limited to, a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various media capable of storing a computer program.

[0146] Embodiment 5

[0147] In the embodiment, the settlement posture of a tension tower numbered T328 is taken as an example and monitored as follows:

[0148] The system obtains first posture information of the T328 tower. The X-axis direction inclination angle is 2.3° and the Y-axis direction inclination angle is 1.8°, which are measured by a JY901S gyroscope sensor installed at the top of the tower. The comprehensive inclination angle is 2.9°, which is calculated by vector synthesis. Meanwhile, the current altitude is 587.23 m, which is measured by a BMP280 barometric altimeter. Compared with the initial altitude 587.45 m recorded when the tension tower was installed, the settlement depth is 220 mm.

[0149] For the 220 kV tension tower, the angle-score mapping function preset by the system is A piecewise function is used: when the inclination angle x≤2°, when 2°<x≤5°, when x>5°, the measured inclination angle 2.9° is substituted into the function to obtain the inclination score .

[0150] The settlement-score mapping function is Similarly, a piecewise function is adopted: when the settlement depth x≤100mm, ; when 100mm<x≤300mm, ; when x>300mm, , the measured settlement depth 220mm is substituted into the function, and the settlement score is obtained .

[0151] Considering that T328 is a strain tower, its inclination stability requirement is higher than the settlement stability requirement, the system sets the inclination weight , and the settlement weight , the score and weight are substituted into the calculation formula: .

[0152] This score indicates that the current stability condition of T328 tower is at a medium-low level. Combined with historical data analysis, although this condition has not yet reached an immediate danger level, it needs to be closely monitored, especially in the upcoming rainy season. Further evaluation needs to be conducted in combination with environmental factors and the influence of associated towers.

[0153] Further, if the numbered T328 tower is located in a sandy soil area (geological influence coefficient 0.8), the slope measurement value is 15°, and it is predicted that the average soil moisture will reach 65% in the next 72 hours, substitute the relevant formula calculation:

[0154] Slope influence coefficient ;

[0155] Soil moisture influence coefficient ;

[0156] The final first environmental influence coefficient = 0.8×0.4+1.2×0.3+0.75×0.3=0.905.

[0157] Further, the associated towers of the numbered T328 strain tower include the upstream T327 straight tower and the downstream T329 straight tower. For these associated towers, the system uses the same method as the target tower to obtain and evaluate their geographical features and environmental information, which ensures the consistency of the evaluation standard. The second geographical feature of the T327 tower shows that the geological type is weathered rock (geological influence coefficient 0.85) and the slope is 12°; the geographical feature of the T329 tower is: the geological type is sandy soil (geological influence coefficient 0.8) and the slope is 18°.

[0158] Considering the complexity of the mountainous terrain, the associated towers can be in different microclimate environments from the target tower. For example, the T327 tower is located on a ridge, while the T329 tower is located on a valley side wall. Even if they are not far apart, there can be significant differences in local meteorological conditions. Therefore, the system separately collects the second environmental information of the associated towers, including meteorological forecast data and soil moisture monitoring data for the next 72 hours (consistent with the first preset time period).

[0159] For the T327 tower:

[0160] Slope influence coefficient ;

[0161] The predicted soil moisture is 55%, and the soil moisture influence coefficient ;

[0162] The second environmental influence coefficient of the T327 tower = 0.85 x 0.4 + 1.14 x 0.3 + 0.85 x 0.3 = 0.934.

[0163] For the T329 tower:

[0164] Slope influence coefficient ;

[0165] The predicted soil moisture is 70%, and the soil moisture influence coefficient ;

[0166] The second environmental influence coefficient of the T329 tower = 0.8 x 0.4 + 1.26 x 0.3 + 0.70 x 0.3 = 0.898.

[0167] Further, the influence of the upstream and downstream associated towers T327 and T329 of the numbered T328 strain tower needs to be calculated and then synthesized. First, obtain the distance information between the associated towers and the target tower: the distance from T327 to T328 is 380m, and the distance from T329 to T328 is 420m. The system's preset distance influence coefficient table is based on a large amount of measured data, which divides the distance into multiple intervals: 0.9 for within 300m, 0.7 for 300-500m, 0.5 for 500-800m, and 0.3 for above 800m. According to this, the distance attenuation coefficients of T327 and T329 are determined to be 0.7 and 0.7 respectively.

[0168] The second posture information of the associated towers is obtained through the same sensor system as the target tower. The T327 tower measures a comprehensive inclination angle of 1.8° and a settlement depth of 150mm. The T329 tower measures a comprehensive inclination angle of 2.5° and a settlement depth of 180mm. Using the same scoring standard as the target tower, the second stability score of the T327 tower is calculated to be 78.5 points, and the second stability score of the T329 tower is calculated to be 65.2 points.

[0169] Substitute these data into the third preset formula Calculate the correlation influence coefficient.

[0170] For T327 tower: ;

[0171] For T329 tower: ;

[0172] Final correlation influence coefficient By weighted average: .

[0173] Further, the system sets the second preset time length as 30 days, collects historical posture data within the preset time length, which is collected by the sensor installed on the tower every hour, including the time series of inclination angle and settlement depth. The data shows that the inclination angle of T328 tower gradually develops from 2.1° to 2.9° in these 30 days, and the settlement depth increases from 180mm to 220mm. The system uses time series analysis method to mine the internal law of posture change through data preprocessing, trend analysis and pattern recognition steps.

[0174] Firstly, the original data is preprocessed, including outlier filtering and data smoothing. The sliding average method is used to filter high-frequency noise, and the window size is set to 24 hours to eliminate the influence of short-term factors such as daily temperature difference. Then, the least square method is used to fit the trend of the processed data, and the change functions of inclination angle and settlement depth are obtained respectively:

[0175] Inclination angle change function: ;

[0176] Settlement depth change function: ;

[0177] Where t is the time variable, and the unit is day.

[0178] The quadratic term in the function indicates that the change has an accelerating feature, which is consistent with the actual situation of gradually softening geological conditions.

[0179] Based on these functions, the system predicts the natural posture change amount within the first preset time length (72 hours). By calculating the function value at t=3, it is obtained that the predicted inclination angle will increase by 0.085°; the predicted settlement depth will increase by 4.3mm; these predicted values constitute the basic parameters of the natural posture change amount.

[0180] However, considering that natural change is often affected by many factors, the system also establishes a confidence interval analysis model. By calculating the standard deviation of historical data, a 95% confidence level is set to obtain the possible range of the change amount:

[0181] Tilt angle change: 0.085 ± 0.015°; settlement depth change: 4.3 ± 0.8 mm.

[0182] Further, the first stability score of T328 tension tower is 52.68, which is first adjusted based on the posture natural change amount, and the prediction shows that the tilt angle will increase by 0.085 ± 0.015° and the settlement depth will increase by 4.3 ± 0.8 mm within the next 72 hours. The system converts these predicted values into predicted posture offset amount, and adopts the comprehensive displacement calculation formula: ,

[0183] wherein , are weight coefficients (taking values 1.0 and 0.5 respectively), is the angle change amount, is the settlement change amount.

[0184] The calculated predicted posture offset amount is 0.092.

[0185] According to the predicted posture offset amount, a correction factor is generated, and the correction factor is negatively correlated with the offset amount: wherein is the sensitivity coefficient (taking value 0.8), and the calculated correction factor is 0.926. Multiplying the first stability score by the correction factor, the second stability score is obtained: points.

[0186] Considering the role of the correlation influence coefficient (46.0) and the first environmental influence coefficient (0.905), first, the correlation adjustment factor is calculated according to the correlation influence coefficient, and the fourth preset formula is used to calculate the correlation adjustment factor , and the second stability score is multiplied by the correlation adjustment factor to obtain the third stability score: points.

[0187] Considering the environmental influence, the first environmental influence coefficient is substituted into the fifth preset formula to calculate the environmental adjustment factor, and the calculated environmental adjustment factor is . The third stability score is multiplied by the environmental adjustment factor to obtain the target stability score: points.

[0188] The system preset warning threshold is 35 points, so the target stability score of T328 tower is lower than the warning threshold, and the system immediately generates a warning information, including: warning level: secondary (yellow) warning; warning reason: stability score is lower than the threshold, there is potential risk.

[0189] The main influencing factors are: stability decrease of the associated tower (40% contribution rate), natural change trend deterioration (35% contribution rate), and adverse environmental conditions (25% contribution rate).

[0190] The suggested measures are: strengthening the inspection frequency, preparing an emergency reinforcement scheme, and closely monitoring the surrounding geological conditions.

[0191] The above application of specific examples to the invention is described, only to help understand the invention, and not to limit the invention. For the skilled in the art to which the invention belongs, according to the idea of the invention, several simple deductions, deformations or substitutions can be made.

Claims

1. A method for monitoring the settlement attitude of power poles, characterized in that: The monitoring method includes: Obtain the first attitude information of the target tower at the current moment, and generate the first stability score of the target tower based on the first attitude information; The first geographical feature of the target tower's location and the first environmental information of the target tower within a first preset time period after the current time are obtained. The first environmental impact coefficient of the target tower within the first preset time period is generated by combining the first geographical feature and the first environmental information. Obtain the second geographical features of the location of the associated towers associated with the target tower, and the second environmental information of the associated towers within the first preset time period. Combine the second geographical features and the second environmental information to generate the second environmental impact coefficient of the associated towers within the first preset time period. By combining the second environmental impact coefficient and the second attitude information of the associated tower, the associated impact coefficient of the target tower is generated; Obtain the attitude change data of the target tower within a second preset time period before the current moment, and generate the natural attitude change amount of the target tower within the first preset time period based on the attitude change data; The first stability score is adjusted based on the natural attitude change amount to generate a second stability score for the target tower. The second stability score is then adjusted based on the correlation influence coefficient and the first environmental influence coefficient to generate a target stability score. When the target stability score is lower than a preset score, an early warning message is generated.

2. The method for monitoring the settlement attitude of power poles according to claim 1, characterized in that: The step of combining the first geographical feature and the first environmental information to generate the first environmental impact coefficient of the target tower within the first preset time period includes: Determine the geological influence coefficient corresponding to the geological type of the first geographical feature from the preset geological influence coefficient comparison table; Substitute the slope of the first geographical feature into the first preset formula to calculate the slope influence coefficient; Multiply the geological influence coefficient by the slope influence coefficient to generate the target geological influence coefficient; By combining the target geological influence coefficient and the first environmental information, a first environmental influence coefficient for the target tower within the first preset time period is generated.

3. The method for monitoring the settlement attitude of power poles according to claim 2, characterized in that: The step of combining the target geological influence coefficient and the first environmental information to generate the first environmental influence coefficient of the target tower within the first preset time period includes: Based on the first environmental information, determine the average soil moisture value of the target tower location within the first preset time period; Substitute the average soil moisture value into the second preset formula to calculate the soil moisture influence coefficient; The target geological influence coefficient and the soil moisture influence coefficient are weighted and summed to generate the first environmental influence coefficient of the target tower within the first preset time period.

4. The method for monitoring the settlement attitude of power poles according to claim 2, characterized in that: The step of generating the associated influence coefficient of the target tower by combining the second environmental influence coefficient and the second attitude information of the associated tower includes: Obtain the distance information between the associated tower and the target tower; Based on the distance information, the corresponding distance attenuation coefficient is determined from a preset distance influence coefficient lookup table; Based on the second attitude information of the associated tower, a second stability score for the associated tower is generated; Substituting the second stability score of the associated tower, the second environmental impact coefficient, and the distance attenuation coefficient into the third preset formula, the associated impact coefficient of the target tower is generated.

5. The method for monitoring the settlement attitude of power poles according to claim 1, characterized in that: The step of adjusting the first stability score based on the natural attitude change to generate a second stability score for the target tower includes: Based on the natural change in attitude, the predicted attitude offset of the target tower within the first preset time period is determined; Based on the predicted attitude offset, a correction factor is generated; The correction factor is multiplied by the first stability score to generate the second stability score.

6. The method for monitoring the settlement attitude of power poles according to claim 1, characterized in that: The step of adjusting the second stability score by combining the correlation impact coefficient and the first environmental impact coefficient to generate a target stability score includes: Substitute the correlation influence coefficient into the fourth preset formula to calculate the correlation adjustment factor; The correlation adjustment factor is multiplied by the second stability score to generate a third stability score; Based on the first environmental impact coefficient, the third stability score is adjusted to generate the target stability score.

7. The method for monitoring the settlement attitude of power poles according to claim 6, characterized in that: The step of adjusting the third stability score based on the first environmental impact coefficient to generate the target stability score includes: Substitute the first environmental impact coefficient into the fifth preset formula to calculate the environmental adjustment factor; The target stability score is generated by multiplying the environmental adjustment factor by the third stability score.

8. A power pole settlement attitude monitoring system, characterized in that, The monitoring system includes: The first acquisition module is used to acquire the first attitude information of the target tower at the current moment, and generate the first stability score of the target tower based on the first attitude information. The second acquisition module is used to acquire the first geographical features of the location of the target tower and the first environmental information of the target tower within a first preset time after the current time, and to generate the first environmental impact coefficient of the target tower within the first preset time by combining the first geographical features and the first environmental information. The third acquisition module is used to acquire the second geographical features of the location of the associated tower associated with the target tower, and the second environmental information of the associated tower within the first preset time period. Combining the second geographical features and the second environmental information, a second environmental impact coefficient of the associated tower within the first preset time period is generated. The module is used to combine the second environmental impact coefficient and the second attitude information of the associated tower to generate the associated impact coefficient of the target tower; The fourth acquisition module is used to acquire the attitude change data of the target tower within a second preset time period before the current moment, and generate the natural attitude change amount of the target tower within the first preset time period based on the attitude change data. The adjustment module is used to adjust the first stability score according to the natural change in attitude, generate a second stability score for the target tower, and adjust the second stability score in combination with the correlation influence coefficient and the first environmental influence coefficient to generate a target stability score. When the target stability score is lower than the preset score, an early warning message is generated.

9. An electronic device, characterized in that: The device includes a processor (1), a memory (5), a user interface (3), and a network interface (4). The memory (5) is used to store instructions. The user interface (3) and the network interface (4) are used to communicate with other devices. The processor (1) is used to execute the instructions stored in the memory (5) to cause the electronic device to perform the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The medium stores a computer program that can be loaded by the processor (1) and executed according to any one of claims 1-7.

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