Method for monitoring and adjusting gradient of power transmission tower under influence of sunlight

Abstract

The invention provides a method for monitoring and adjusting the gradient of a power transmission tower under the influence of sunlight. According to the method for monitoring and adjusting the gradient of the power transmission tower under the influence of the sunlight, a gradient sensor, a temperature sensor, a data processing unit, an adjusting unit, an adjusting device and a communication unit are arranged; according to the method for monitoring and adjusting the gradient of the power transmission tower under the influence of sunlight, data are collected through the gradient sensor and the temperature sensor which are installed on the power transmission tower, the data processing unit analyzes and calculates the data to obtain a result, and then an adjusting instruction is given to the adjusting unit and the adjusting device; after receiving the instruction, the adjusting unit controls the adjusting device to finely adjust the transmission tower so as to maintain the stability of the transmission tower, and when the adjustment cannot be realized or exceeds an early warning value, the communication unit starts the alarm system and transmits alarm information to maintenance personnel and a remote control center, so that the stability of the field-mounted transmission tower is ensured, and the maintenance and repair cost is reduced; and normal operation of the transmission tower is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of power transmission monitoring and management, and in particular to a method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight. Background Art

[0002] In the power transmission system, the stability of transmission towers is of vital importance; transmission towers are usually made of steel or concrete materials, and a variety of factors have been considered during the design, including wind, earthquake, soil type, etc. However, with long-term use, wind, sun and rain will also cause slight deformation of the transmission towers, and the thermal expansion and contraction effect caused by sunlight has a greater impact on the structural stability of the transmission towers. Especially under long-term sunlight conditions, the inclination of the transmission towers may change significantly, which poses a potential threat to the safe operation of the transmission line. Under the influence of other factors, this potential threat will be magnified. For this reason, we need to understand and carry out relevant processing in a timely manner to ensure the stability of the transmission towers. At present, the monitoring and maintenance of transmission towers are still Remaining in the manual stage, a large number of transmission towers are in a state of no monitoring and maintenance for a long time, and many transmission towers are located on the cliffs on the top of the mountain, with inconvenient transportation and difficult access for personnel. Therefore, there are serious deficiencies in the management and maintenance of many transmission towers. For this reason, the applicant proposed a method for monitoring and adjusting the inclination of transmission towers under the influence of sunlight based on the monitoring and maintenance needs of transmission towers. The prediction model is used to calculate the potential inclination changes caused by sunlight, which can effectively monitor and adjust the inclination changes of transmission towers caused by sunlight, thereby improving the safety and stability of the transmission system. Through real-time monitoring and automatic adjustment, the need for manual intervention is reduced, maintenance costs are reduced, and the operational reliability of the power system is improved. Summary of the invention

[0003] In order to solve the above technical problems, the present invention proposes a method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight, by setting an inclination sensor, a temperature sensor, a data processing unit, an adjustment unit, an adjustment device and a communication unit; the method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is to collect data through the inclination sensor and the temperature sensor installed on the transmission tower, the data processing unit analyzes and calculates the data to obtain a result, and then gives an adjustment instruction to the adjustment unit and the adjustment device, after receiving the instruction, the adjustment unit controls the adjustment device to fine-tune the transmission tower to maintain its stability, when the adjustment cannot be achieved or exceeds the warning value, the alarm system is activated through the communication unit and the alarm information is transmitted to the maintenance personnel and the remote control center, so as to ensure the stability of the transmission tower installed on site, reduce the maintenance and repair costs, and ensure the normal operation of the transmission tower.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] A method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight, characterized in that: the method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is provided with an inclination sensor, a temperature sensor, a data processing unit, an adjustment unit, an adjustment device and a communication unit; the inclination sensor is installed on the transmission tower and is used to monitor the inclination angle of the transmission tower in real time; the temperature sensor is installed on the transmission tower and is used to detect the temperature change on the surface of the transmission tower, thereby monitoring the thermal effect of sunlight on the tower; the data processing unit analyzes the data of the inclination sensor and the temperature sensor; the unit can calculate the temperature caused by sunlight The adjustment unit receives the instruction of the data processing unit, controls the adjustment devices installed at different positions of the transmission tower, and feeds back the adjustment information; the adjustment device is a mechanical device installed at different positions of the support system and the foundation structure of the transmission tower, and through its action, the inclination change of the transmission tower caused by sunlight can be compensated. The adjustment device specifically includes an electric hydraulic system and a mechanical adjustment device; the communication unit is used to transmit data and adjustment instructions to the remote monitoring center to realize remote monitoring and management. When it is monitored that the inclination exceeds the preset safety range, an alarm is issued to prompt the maintenance personnel to check and handle it in time.

[0006] Furthermore, the method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight comprises the following specific steps:

[0007] Step 1: Sensor installation: Install inclination sensors and temperature sensors at key locations of transmission towers. The temperature sensors are placed in areas where the transmission towers may be affected by strong sunlight.

[0008] Step 2: Data collection: collect the inclination angle and temperature data of the transmission tower in real time through the installed inclination sensor and temperature sensor, and transmit them to the data processing unit;

[0009] Step 3: Data analysis and processing: by establishing a relationship model between the tower inclination and variables such as sunshine and temperature in the data processing unit, the data processing unit is used to analyze the relationship between temperature and inclination to predict the changing trend of the inclination and calculate the potential inclination change caused by sunshine, and issue corresponding adjustment instructions based on the results;

[0010] Step 4: Adjustment processing: the adjustment unit receives the adjustment instruction from the data processing unit, controls the adjustment devices installed at different positions of the transmission tower, and feeds back the adjustment information;

[0011] Step 5: Alarm and report. When the inclination exceeds the set safety range or cannot be adjusted, the alarm system will be activated, and the communication unit will notify the maintenance personnel to conduct on-site inspection and processing. At the same time, the system will generate a maintenance report for long-term tracking and analysis.

[0012] Furthermore, the method for monitoring and adjusting the inclination of the transmission tower under the influence of sunlight adopts a linear regression model and a polynomial regression model in step three to calculate and predict the inclination of the transmission tower; specifically:

[0013] The linear regression model assumes a linear relationship between the dependent variable slope and the independent variable temperature; the mathematical formula is:

[0014]

[0015] Where: T~ is the predicted tilt;

[0016] T is temperature;

[0017] β0 is the intercept constant term of the regression model;

[0018] β1 is the slope of the regression coefficient, which indicates the effect of temperature on the inclination;

[0019] Use the least squares method to estimate the regression coefficients β0 and β1, minimizing the following objective function:

[0020]

[0021] Where: T~i is the tilt of the i-th observation;

[0022] Ti is the temperature of the ith observation;

[0023] n is the total number of observations;

[0024] By solving the above minimization problem, we can get the regression coefficients β0 and β1; the estimation formula is:

[0025]

[0026]

[0027] Given a new temperature value Tnew, the predicted slope T~new is:

[0028]

[0029] The polynomial regression model is used to deal with nonlinear relationships; it is assumed that the relationship between inclination and temperature can be expressed by a polynomial; for the quadratic polynomial regression model, the mathematical formula is expressed as:

[0030] T~=β0+β1T+β2T2

[0031] Where: β0 is the intercept;

[0032] β1 is the linear coefficient of temperature;

[0033] β2 is the coefficient of the temperature square term;

[0034] The least squares method is also used to estimate the regression coefficients β0, β1, and β2 to minimize the following objective function:

[0035]

[0036] By solving the above minimization problem, we can get the regression coefficients β0, β1 and β2. The estimation formula can be obtained by the matrix method, assuming that X is the polynomial matrix of temperature, β is the regression coefficient vector, and T~ is the actual observed inclination vector, then:

[0037]

[0038] Among them: X contains the polynomial terms of temperature;

[0039] Given a new temperature value Tnew, the predicted slope T~new is:

[0040]

[0041] Furthermore, the method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight adopts a linear regression model and a polynomial regression model in step three to realize the specific steps of calculating and predicting the inclination of the transmission tower:

[0042] Step 1: Data preparation: collect temperature and corresponding tilt data, perform data preprocessing, remove outliers and normalize;

[0043] Step 2: Model selection: select a linear regression or polynomial regression model based on the characteristics of the data, and select the optimal model through methods such as cross-validation;

[0044] Step 3: Model training: use the training data to fit the model and estimate the regression coefficient;

[0045] Step 4: Model validation: Use test data to evaluate the prediction performance of the model, and use mean square error and determination coefficient for validation;

[0046] Step 5: Prediction and application: predict the new temperature data and generate adjustment instructions.

[0047] The benefits of this application are:

[0048] 1. The method for monitoring and adjusting the inclination of transmission towers under the influence of sunlight uses linear regression model and polynomial regression model to realize the calculation and prediction of the inclination of transmission towers, which is more accurate and more referenceable;

[0049] 2. The method for monitoring and adjusting the inclination of the transmission tower under the influence of sunlight adopts real-time monitoring to ensure the stable operation of the transmission tower;

[0050] 3. The method for monitoring and adjusting the inclination of transmission towers under the influence of sunlight reduces the need for manual monitoring intervention, reduces maintenance costs, and improves the operational reliability of the power system;

[0051] 4. The method for monitoring and adjusting the inclination of the transmission tower under the influence of sunlight adopts a remote monitoring function, making the management of the transmission tower more intelligent and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of the service framework of the system of the present invention. DETAILED DESCRIPTION

[0053] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0054] like Figure 1 As shown, a method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is shown. As shown in the figure, the method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is provided with an inclination sensor, a temperature sensor, a data processing unit, an adjustment unit, an adjustment device and a communication unit; the inclination sensor is installed on the transmission tower to monitor the inclination angle of the transmission tower in real time; the temperature sensor is installed on the transmission tower to detect the temperature change on the surface of the transmission tower, so as to monitor the thermal effect of sunlight on the tower; the data processing unit analyzes the data of the inclination sensor and the temperature sensor; the unit can calculate the temperature caused by sunlight The influence of the change of degree on the inclination and generates corresponding adjustment instructions; the adjustment unit receives the instructions of the data processing unit, controls the adjustment devices installed at different positions of the transmission tower, and feeds back the adjustment information; the adjustment device is a mechanical device installed at different positions of the support system and the foundation structure of the transmission tower, and its action can compensate for the inclination change of the transmission tower caused by sunlight. The adjustment device specifically includes an electric hydraulic system and a mechanical adjustment device; the communication unit is used to transmit data and adjustment instructions to the remote monitoring center to realize remote monitoring and management. When it is monitored that the inclination exceeds the preset safety range, an alarm is issued to prompt the maintenance personnel to check and handle it in time.

[0055] The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is shown, and the specific steps are:

[0056] Step 1: Sensor installation: Install inclination sensors and temperature sensors at key locations of transmission towers. The temperature sensors are placed in areas where the transmission towers may be affected by strong sunlight.

[0057] Step 2: Data collection: collect the inclination angle and temperature data of the transmission tower in real time through the installed inclination sensor and temperature sensor, and transmit them to the data processing unit;

[0058] Step 3: Data analysis and processing: by establishing a relationship model between the tower inclination and variables such as sunshine and temperature in the data processing unit, the data processing unit is used to analyze the relationship between temperature and inclination to predict the changing trend of the inclination and calculate the potential inclination change caused by sunshine, and issue corresponding adjustment instructions based on the results;

[0059] Step 4: Adjustment processing: the adjustment unit receives the adjustment instruction from the data processing unit, controls the adjustment devices installed at different positions of the transmission tower, and feeds back the adjustment information;

[0060] Step 5: Alarm and report. When the inclination exceeds the set safety range or cannot be adjusted, the alarm system will be activated, and the communication unit will notify the maintenance personnel to conduct on-site inspection and processing. At the same time, the system will generate a maintenance report for long-term tracking and analysis.

[0061] The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight uses a linear regression model and a polynomial regression model in step three to calculate and predict the inclination of the transmission tower; specifically:

[0062] The linear regression model assumes a linear relationship between the dependent variable slope and the independent variable temperature; the mathematical formula is:

[0063]

[0064] Where: T~ is the predicted tilt;

[0065] T is temperature;

[0066] β0 is the intercept constant term of the regression model;

[0067] β1 is the slope of the regression coefficient, which indicates the effect of temperature on the inclination;

[0068] Use the least squares method to estimate the regression coefficients β0 and β1, minimizing the following objective function:

[0069]

[0070] Where: T~i is the tilt of the i-th observation;

[0071] Ti is the temperature of the ith observation;

[0072] n is the total number of observations;

[0073] By solving the above minimization problem, we can get the regression coefficients β0 and β1; the estimation formula is:

[0074]

[0075]

[0076] Given a new temperature value Tnew, the predicted slope T~new is:

[0077]

[0078] The polynomial regression model is used to deal with nonlinear relationships; it is assumed that the relationship between inclination and temperature can be expressed by a polynomial; for the quadratic polynomial regression model, the mathematical formula is expressed as:

[0079] T~=β0+β1T+β2T2

[0080] Where: β0 is the intercept;

[0081] β1 is the linear coefficient of temperature;

[0082] β2 is the coefficient of the temperature square term;

[0083] The least squares method is also used to estimate the regression coefficients β0, β1, and β2 to minimize the following objective function:

[0084]

[0085] By solving the above minimization problem, we can get the regression coefficients β0, β1 and β2. The estimation formula can be obtained by the matrix method, assuming that X is the polynomial matrix of temperature, β is the regression coefficient vector, and T~ is the actual observed inclination vector, then:

[0086]

[0087] Among them: X contains the polynomial terms of temperature;

[0088] Given a new temperature value Tnew, the predicted slope T~new is:

[0089]

[0090] The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight uses a linear regression model and a polynomial regression model in step three to calculate and predict the inclination of the transmission tower. The specific steps are:

[0091] Step 1: Data preparation: collect temperature and corresponding tilt data, perform data preprocessing, remove outliers and normalize;

[0092] Step 2: Model selection: select a linear regression or polynomial regression model based on the characteristics of the data, and select the optimal model through methods such as cross-validation;

[0093] Step 3: Model training: use the training data to fit the model and estimate the regression coefficient;

[0094] Step 4: Model validation: Use test data to evaluate the prediction performance of the model, and use mean square error and determination coefficient to verify;

[0095] Step 5: Prediction and application: predict the new temperature data and generate adjustment instructions.

[0096] The above description is only a preferred embodiment of the present invention and does not constitute any other form of limitation to the present invention. Any modification or equivalent change made based on the technical essence of the present invention still falls within the scope of protection required by the present invention.

Claims

1. A method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight, Features: The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight is provided with an inclination sensor, a temperature sensor, a data processing unit, an adjustment unit, an adjustment device and a communication unit; the inclination sensor is installed on the transmission tower and is used to monitor the inclination angle of the transmission tower in real time; the temperature sensor is installed on the transmission tower and is used to detect the temperature change on the surface of the transmission tower, so as to monitor the thermal effect of sunlight on the tower; the data processing unit analyzes the data of the inclination sensor and the temperature sensor; the unit can calculate the effect of the temperature change caused by sunlight on the inclination and generate the corresponding The adjusting unit receives the instructions from the data processing unit, controls the adjusting devices installed at different positions of the transmission tower, and feeds back the adjusting information; the adjusting device is a mechanical device installed at different positions of the supporting system and the foundation structure of the transmission tower, and its action can compensate for the tilt change of the transmission tower caused by sunlight. The adjusting device specifically includes an electric hydraulic system and a mechanical adjustment device; the communication unit is used to transmit data and adjustment instructions to the remote monitoring center to realize remote monitoring and management. When it is monitored that the tilt exceeds the preset safety range, an alarm is issued to prompt the maintenance personnel to conduct inspection and processing in time.

2. A method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight according to claim 1, Features: The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight comprises the following specific steps: Step 1: Sensor installation: Install inclination sensors and temperature sensors at key locations of transmission towers. The temperature sensors are placed in areas where the transmission towers may be affected by strong sunlight. Step 2: Data collection: collect the inclination angle and temperature data of the transmission tower in real time through the installed inclination sensor and temperature sensor, and transmit them to the data processing unit; Step 3: Data analysis and processing: by establishing a relationship model between the tower inclination and variables such as sunshine and temperature in the data processing unit, the data processing unit is used to analyze the relationship between temperature and inclination to predict the changing trend of the inclination and calculate the potential inclination change caused by sunshine, and issue corresponding adjustment instructions based on the results; Step 4: Adjustment processing: the adjustment unit receives the adjustment instruction from the data processing unit, controls the adjustment devices installed at different positions of the transmission tower, and feeds back the adjustment information; Step 5: Alarm and report. When the inclination exceeds the set safety range or cannot be adjusted, the alarm system will be activated, and the communication unit will notify the maintenance personnel to conduct on-site inspection and processing. At the same time, the system will generate a maintenance report for long-term tracking and analysis.

3. A method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight according to claim 2, Features: The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight adopts a linear regression model and a polynomial regression model in step three to calculate and predict the inclination of the transmission tower; specifically: The linear regression model assumes a linear relationship between the dependent variable slope and the independent variable temperature; the mathematical formula is: Where: T~ is the predicted tilt; T is temperature; β0 is the intercept constant term of the regression model; β1 is the slope of the regression coefficient, which indicates the effect of temperature on the inclination; Use the least squares method to estimate the regression coefficients β0 and β1, minimizing the following objective function: Where: T~i is the tilt of the i-th observation; Ti is the temperature of the ith observation; n is the total number of observations; By solving the above minimization problem, we can get the regression coefficients β0 and β1; the estimation formula is: Given a new temperature value Tnew, the predicted slope T~new is: The polynomial regression model is used to deal with nonlinear relationships; it is assumed that the relationship between inclination and temperature can be expressed by a polynomial; for the quadratic polynomial regression model, the mathematical formula is expressed as: T~=β0+β1T+β2T2 Where: β0 is the intercept; β1 is the linear coefficient of temperature; β2 is the coefficient of the temperature square term; The least squares method is also used to estimate the regression coefficients β0, β1, and β2 to minimize the following objective function: By solving the above minimization problem, we can get the regression coefficients β0, β1 and β2. The estimation formula can be obtained by the matrix method, assuming that X is the polynomial matrix of temperature, β is the regression coefficient vector, and T~ is the actual observed inclination vector, then: Among them: X contains the polynomial terms of temperature; Given a new temperature value Tnew, the predicted slope T~new is:

4. A method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight according to claim 2, Features: The method for monitoring and adjusting the inclination of a transmission tower under the influence of sunlight adopts a linear regression model and a polynomial regression model in step 3 to realize the specific steps of calculating and predicting the inclination of the transmission tower: Step 1: Data preparation: collect temperature and corresponding tilt data, perform data preprocessing, remove outliers and normalize; Step 2: Model selection: select a linear regression or polynomial regression model based on the characteristics of the data, and select the optimal model through methods such as cross-validation; Step 3: Model training: use the training data to fit the model and estimate the regression coefficient; Step 4: Model validation: Use test data to evaluate the prediction performance of the model, and use mean square error and determination coefficient to verify; Step 5: Prediction and application: predict the new temperature data and generate adjustment instructions.

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