A method and system for monitoring the wind-induced strain of a power transmission tower

Abstract

The application provides a power transmission tower wind-induced strain gauge monitoring arrangement method and system, which comprises the following steps: dividing the whole wind direction into multiple wind direction intervals according to the wind direction angle; calculating the probability of strong wind occurrence in each wind direction interval when the wind speed exceeds a set threshold according to the meteorological data of a monitoring area; calculating the wind-induced response of each rod of a model tower in each wind direction interval through finite element modeling; and determining the rod on which the strain gauge is installed and the position of the strain gauge according to the wind-induced response of each rod in each wind direction interval and the probability of strong wind occurrence in each wind direction interval. When the monitoring position is determined, the application does not need to perform a large number of subjective design working condition trial calculations, thereby avoiding a large amount of invalid calculation and improving the processing efficiency of the measuring point selection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission line disaster prevention and mitigation, and particularly relates to a wind-induced strain gauge monitoring and laying method and system for a power transmission tower. BACKGROUND

[0002] Strong wind is a natural disaster that greatly threatens power transmission and distribution lines. Severe windstorms (tornadoes, typhoons, squall lines, etc.) can cause power transmission lines to flash over, trip due to lightning strikes, and even cause power transmission line towers to collapse. In order to improve the wind resistance reliability of power transmission towers, it is crucial to accurately and efficiently identify the true stress and strain state of the tower under wind load. Power transmission towers often have complex structures and a wide variety of tower materials, making it impossible to place strain monitoring sensors on every member during actual monitoring. Typically, based on experience or design conditions given by specifications, the wind-induced response distribution of the tower under several specific wind directions (such as 0°, 45°, and 90° wind directions) is calculated, and then the tower members that are under greater stress are selected based on the calculation results to place monitoring sensors (such as strain sensors). However, wind speed in reality has directionality, and the extreme value of the wind-induced response of the power transmission tower is related to the incoming wind direction and the tower orientation. Therefore, the experience-based trial assumption cannot accurately identify the position where the tower is most likely to experience a large wind-induced response, affecting the accuracy of strain sensor placement and monitoring work, and directly threatening the safe operation of the monitored tower. In summary, the present application proposes a refined wind-induced strain monitoring and laying method for power transmission towers that takes into account the effect of wind direction based on meteorological wind direction data around the tower. SUMMARY

[0003] In order to solve the above-mentioned deficiencies in the prior art, the present application provides a wind-induced strain gauge monitoring and laying method and system for a power transmission tower. The method is suitable for refined monitoring of the tower and is based on the wind direction meteorological statistical data of the tower's location and the probability weighting idea. The method includes the following steps: (1) dividing the wind direction intervals based on the meteorological data of the monitoring area and calculating the probability of strong wind occurrence in each wind direction interval; (2) calculating the wind-induced response of the tower in each wind direction interval through finite element modeling; (3) multiplying the larger wind-induced response under each wind direction interval by the probability of strong wind occurrence in that interval to obtain the wind-induced response result considering the effect of wind direction; and (4) comparing and analyzing the wind-induced response results considering the effect of wind direction for each member to select the member corresponding to the larger value as the strain monitoring position. The advantage of the above-mentioned method is that it no longer subjectively determines the wind-induced strain monitoring position of the tower, but rather provides a theoretical basis and practical basis for reasonable and efficient strain monitoring and laying based on meteorological statistical data and through quantitative finite element calculation and probability weighting.

[0004] The object of the present application is achieved by the following technical solution:

[0005] The application provides a wind-induced strain gauge monitoring and laying method for a power transmission tower, which comprises the following steps:

[0006] According to meteorological data of a monitoring area, the wind speed exceeding a set threshold in each wind direction interval is calculated to obtain a windstorm occurrence probability of each wind direction interval;

[0007] A finite element model is established to calculate wind-induced responses of each member of the model tower in each wind direction interval;

[0008] Based on the wind-induced responses of each member in each wind direction interval and the windstorm occurrence probability of each wind direction interval, a member to which a strain gauge is installed and a position at which the strain gauge is installed are determined.

[0009] Preferably, the wind direction is divided into multiple wind direction intervals according to wind direction angles, and the windstorm occurrence probability of each wind direction interval is calculated according to meteorological data of a monitoring area, which comprises the following steps:

[0010] The wind direction is equally divided into multiple wind direction intervals according to wind direction angles;

[0011] From historical meteorological data of the monitoring area, windstorm data with wind speed exceeding a set threshold are selected as windstorm sample data;

[0012] Based on the windstorm sample data, the windstorm occurrence probability of each wind direction interval is calculated.

[0013] Preferably, the calculation formula of the windstorm occurrence probability of each wind direction interval based on the windstorm sample data is as follows:

[0014]

[0015] Wherein, P i is the windstorm occurrence probability of the i th wind direction interval, n i is the number of windstorm samples in the i th wind direction interval, and m is the number of windstorm samples of the whole wind direction.

[0016] Preferably, the wind-induced responses of each member of the model tower in each wind direction interval are calculated through finite element modeling, which comprises the following steps:

[0017] A finite element calculation model is established based on the monitoring tower and each member of the tower;

[0018] Wind load is applied to the model tower in each wind direction interval;

[0019] The wind-induced responses of each member of the model tower in each wind direction interval are calculated.

[0020] Preferably, the member to which the strain gauge is installed and the position at which the strain gauge is installed are determined based on the wind-induced responses of each member in each wind direction interval and the windstorm occurrence probability of each wind direction interval, which comprises the following steps:

[0021] determining the weighted wind-induced response of each member in the tower in each wind direction interval based on the wind-induced response of each member in each wind direction interval and the probability of strong wind occurrence in each wind direction interval;

[0022] comparing each weighted wind-induced response and selecting the member and the wind direction interval corresponding to the larger value as the member to which the strain gauge is installed and the position at which the strain gauge is installed.

[0023] Preferably, the calculation formula of the weighted wind-induced response of each member in the tower in each wind direction interval is:

[0024] F i,j,weighted = F i,j × P i

[0025] wherein F i,j,weighted is the weighted wind-induced response of the jth member in the tower in the ith wind direction interval, F i,j is the wind-induced response of the jth member in the tower in the ith wind direction interval, and P i is the probability of strong wind occurrence in the ith wind direction interval.

[0026] Preferably, the comparing each weighted wind-induced response and selecting the member and the wind direction interval corresponding to the larger value as the member to which the strain gauge is installed and the position at which the strain gauge is installed comprises:

[0027] arranging each weighted wind-induced response in descending order;

[0028] selecting the member and the wind direction interval corresponding to the larger value as the strain gauge monitoring position;

[0029] installing a wind-induced strain gauge at the strain gauge monitoring position.

[0030] Preferably, the threshold value is 17 m / s.

[0031] Based on the same inventive concept, the present application also provides a wind-induced strain gauge monitoring and layout system for a power transmission tower, comprising a data statistics module, a model simulation module and a position determination module.

[0032] The data statistics module is configured to divide all wind directions into multiple wind direction intervals according to wind direction angles, and calculate the probability of strong wind occurrence in each wind direction interval according to meteorological data of a monitoring area.

[0033] The model simulation module is configured to calculate the wind-induced response of each member of a model tower in each wind direction interval through finite element modeling.

[0034] The determining position module is configured to determine the rod member on which the strain gauge is installed and the position at which the strain gauge is installed based on the wind-induced response of each rod member in each wind direction interval and the probability of occurrence of strong wind in each wind direction interval.

[0035] Preferably, the determining position module comprises an operation unit and an installation determining unit.

[0036] The operation unit is configured to determine the weighted wind-induced response of each rod member in each wind direction interval in the tower based on the wind-induced response of each rod member in each wind direction interval and the probability of occurrence of strong wind in each wind direction interval.

[0037] The installation determining unit is configured to compare and analyze each weighted wind-induced response, and select the rod member corresponding to a larger value and the wind direction interval as the rod member on which the strain gauge is installed and the position at which the strain gauge is installed.

[0038] Compared with the prior art, the present application has the following beneficial effects:

[0039] 1. The present application provides a power transmission tower wind-induced strain gauge monitoring arrangement method and system, which comprises the following steps: dividing the whole wind direction into multiple wind direction intervals according to the wind direction angle, calculating the probability of occurrence of strong wind in each wind direction interval in which the wind speed exceeds a set threshold value according to the meteorological data of a monitoring area, calculating the wind-induced response of each rod member of a model tower in each wind direction interval through finite element modeling, and determining the rod member on which the strain gauge is installed and the position at which the strain gauge is installed based on the wind-induced response of each rod member in each wind direction interval and the probability of occurrence of strong wind in each wind direction interval. In the present application, a large amount of subjective design working condition trial calculation is not needed when the monitoring position is determined, a large amount of invalid calculation is avoided, and the processing efficiency of the measuring point selection is improved.

[0040] 2. The present application considers the wind direction effect and combines the tower azimuth to quantitatively determine the weighted wind-induced response of the rod member under different wind directions, and the monitoring point arranged accordingly has a clear theoretical basis and is more reliable.

[0041] 3. The present application can effectively avoid the arrangement of invalid monitoring points and the waste of strain sensors, and thus effectively controls the cost. DETAILED DESCRIPTION

[0042] Figure 1 The flow chart of the power transmission tower wind-induced strain gauge monitoring arrangement method of the present application;

[0043] Figure 2 The key point diagram of the implementation steps of the present application;

[0044] Figure 3 The wind rose diagram of the present application;

[0045] Figure 4 The model diagram of the power transmission tower and the rod member number of the present application;

[0046] Figure 5 The basic structure diagram of the wind-induced strain gauge monitoring and laying system of the power transmission tower of the application;

[0047] Figure 6 The detailed structure diagram of the wind-induced strain gauge monitoring and laying system of the power transmission tower of the application. DETAILED DESCRIPTION

[0048] In order to better understand the application, the technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application.

[0049] Embodiment 1

[0050] The application provides a wind-induced strain gauge monitoring and laying method for a power transmission tower, as shown in the method, comprising the following steps: Figure 1 dividing the whole wind direction into a plurality of wind direction intervals according to wind direction angles, calculating the probability of occurrence of a gale in each wind direction interval according to meteorological data of a monitoring area, wherein the gale is a wind with a wind speed exceeding a set threshold value;

[0051] calculating the wind-induced response of each rod member of the model tower in each wind direction interval through finite element modeling;

[0052] determining the rod member on which the strain gauge is installed and the position at which the strain gauge is installed based on the wind-induced response of each rod member in each wind direction interval and the probability of occurrence of a gale in each wind direction interval.

[0053] The step of dividing the whole wind direction into a plurality of wind direction intervals according to wind direction angles and calculating the probability of occurrence of a gale in each wind direction interval according to meteorological data of a monitoring area comprises the following steps:

[0054] dividing the whole wind direction into a plurality of wind direction intervals according to wind direction angles;

[0055] selecting gale data with a wind speed exceeding a set threshold value from historical meteorological data of the monitoring area as gale sample data;

[0056] calculating the probability of occurrence of a gale in each wind direction interval based on the gale sample data.

[0057] The calculation formula for calculating the probability of occurrence of a gale in each wind direction interval based on the gale sample data is as follows:

[0058]

[0059] wherein P i is the probability of occurrence of a gale in the i th wind direction interval, n i is the number of gale sample data in the i th wind direction interval, and m is the number of gale sample data of the whole wind direction.

[0060] The wind-induced response of each rod of the model tower in each wind direction interval is calculated by finite element modeling, including:

[0061] A finite element calculation model is established based on the monitoring tower and each rod of the tower;

[0062] Wind load is applied to the model tower in each wind direction interval;

[0063] The wind-induced response of each rod of the model tower in each wind direction interval is calculated.

[0064] The rod on which the strain gauge is installed and the position of the strain gauge installation are determined based on the wind-induced response of each rod in each wind direction interval and the probability of strong wind occurrence in each wind direction interval, including:

[0065] The weighted wind-induced response of each rod of the tower in each wind direction interval is determined based on the wind-induced response of each rod in each wind direction interval and the probability of strong wind occurrence in each wind direction interval;

[0066] Each weighted wind-induced response is compared and analyzed, and the rod and wind direction interval corresponding to the larger value are selected as the rod on which the strain gauge is installed and the position of the strain gauge installation.

[0067] The calculation formula of the weighted wind-induced response of each rod of the tower in each wind direction interval is:

[0068] F i,j,weighted i i,j j i

[0069] Wherein, F i,j,weighted is the weighted wind-induced response of the jth rod of the tower in the ith wind direction interval, F i,j is the wind-induced response of the jth rod of the tower in the ith wind direction interval, and P i is the probability of strong wind occurrence in the ith wind direction interval.

[0070] The rod and wind direction interval corresponding to the larger value are selected as the rod on which the strain gauge is installed and the position of the strain gauge installation by comparing and analyzing each weighted wind-induced response, including:

[0071] Each weighted wind-induced response is arranged in descending order;

[0072] The rod and wind direction interval corresponding to the larger value are selected as the strain gauge monitoring position;

[0073] The wind-induced strain gauge is installed at the strain gauge monitoring position.

[0074] The threshold value is set to 17 m / s.

[0075] Specifically, as Figure 2The illustrated power transmission tower wind-induced strain monitoring layout method helps to improve the rationality and accuracy of power transmission tower wind-induced strain monitoring layout.

[0076] Determine the probability of strong wind occurrence in each wind direction interval of the tower location:

[0077] Select the nearest meteorological station with the most similar topographic conditions in the area where the transmission tower is to be monitored as the source of meteorological data. Based on meteorological data, the entire wind direction is equally divided into i intervals. According to the usual meteorological specifications, wind with instantaneous wind speed greater than 17 m / s (or 8-level wind) can be identified as strong wind. Accordingly, the number of strong wind samples in each wind direction interval is counted from the meteorological data, denoted as n i , where i represents the wind direction interval. Thus, the probability of strong wind occurrence (P i ) in each wind speed interval can be obtained, as shown in the following formula,

[0078]

[0079] where m is the total number of maximum wind speed samples in the entire wind direction interval.

[0080] Calculate the tower wind-induced response in each wind direction interval:

[0081] By establishing a finite element calculation model of the tower to be monitored, and applying the corresponding angle wind load to the model, the tower wind-induced response results in each wind direction interval are calculated, denoted as F i,j , where i and j represent the interval and tower member number, respectively.

[0082] The angle wind load in each wind direction interval is referenced from the angle wind load distribution table (Table 4.2.10) given in the current "Overhead Transmission Line Load Specification" (DL / T5551-2018), and the wind direction conditions not listed in the table are determined by linear interpolation.

[0083] Calculate the tower wind-induced response considering wind direction effect:

[0084] Based on the calculation results of the above two steps, the probability of strong wind occurrence P i and the wind-induced response F i,j of each member of the tower structure in the corresponding wind direction interval are obtained. According to the conditional probability and weighting idea, the most likely weighted wind-induced response result (F i,j,weighted ) of the tower under the condition of a certain wind direction can be obtained, as shown in the following formula.

[0085] F i,j,weighted = F i,j × P i

[0086] The weighted wind-induced response results (F i,j,weighted ) of all tower members in all wind direction intervals can be calculated, and the most unfavorable response results of the tower under the premise of considering the wind direction effect can be obtained by descending order.

[0087] Determine the monitoring points of the wind-induced strain gauge of the tower:

[0088] According to the most unfavorable response results of the tower under the premise of considering the wind direction effect, considering the monitoring purpose and economic requirements, a certain number of member positions are selected as monitoring points, and the installation is strictly carried out according to the operation steps.

[0089] Example 2

[0090] Now a specific example is used to introduce a kind of transmission tower wind-induced strain gauge monitoring method.

[0091] Determine the probability of strong wind occurrence in each wind direction interval of the monitoring tower site:

[0092] Select the nearest meteorological station in the area where the transmission tower to be monitored is located as the source of meteorological data. Based on the daily value data of the maximum wind speed and its direction since January 1951, the entire wind direction is equally divided into 16 intervals, and each interval has an angle range of 22.5°. In general meteorological observation, wind with instantaneous wind speed greater than 17 m / s is considered as strong wind. Based on the extreme wind speed and direction data of a certain place in the past ten years, the wind speed rose diagram of the place can be obtained, as shown in Figure 3 . The number of strong wind samples in each wind direction interval is counted and recorded as n i , where i represents the wind direction interval (such as N, NNE, W, etc. The N direction is taken as the starting point, and the clockwise order is arranged, and there are 16 in total). The probability of strong wind occurrence (P i ) in each wind speed interval can be obtained, as shown in the following formula,

[0093]

[0094] where m is the total number of maximum wind speed samples in the entire wind direction interval. At this time, m is taken as 3650, and the probability of strong wind occurrence in the corresponding interval is obtained by counting the number of strong wind samples n i in each wind direction interval, as shown in Table 1.

[0095] Calculate the wind-induced response of the tower in each wind direction interval:

[0096] Take a certain transmission tower in Fujian as the monitoring object, as shown in Figure 4 , a finite element simulation analysis model of the tower is established, and the wind-induced response (stress ratio) of the tower member is calculated under the NW wind direction (i=15) condition, F 15,jFor the convenience of display, the first 18 bars with larger stress and their stress results are given in descending order, as shown in Table 2.

[0097] The wind-induced response of the tower considering the wind direction effect is calculated:

[0098] The wind-induced response of the tower bar in the NW wind direction is multiplied by the probability P of the occurrence of the gale in the wind direction, and the wind-induced response of the tower considering the wind direction effect in the wind direction is obtained, as shown in Table 2. 15 Similarly, the above steps are repeated, and the wind-induced response results of all bars of the tower considering the wind direction effect in 16 wind direction intervals are obtained.

[0099] The wind-induced strain gauge monitoring points of the tower are determined:

[0100] Based on the above calculation results, the most unfavorable wind-induced response of all bars of the tower considering the wind direction effect in the full wind direction (16 wind directions) is obtained. Considering the monitoring purpose and economic requirements, a certain number of bar positions that are likely to have larger wind-induced responses are selected as monitoring points, and are strictly installed according to the operation steps.

[0101] The monitoring and layout method of the wind-induced strain gauge of the power transmission tower has the following advantages: (1) when the monitoring position is determined, a large number of subjective design working condition trial calculations are not needed, a lot of invalid calculations are avoided, and the processing efficiency of the monitoring point selection is improved; (2) the wind-induced response results of the bars in different wind directions are quantitatively determined considering the wind direction effect and the tower azimuth, and the monitoring points arranged accordingly have a clear theoretical basis and higher reliability; (3) the invalid monitoring points and strain sensors can be effectively avoided, the cost is controlled to some extent, and good steel is used on the cutting edge.

[0102]

[0103] Table 1: Probability of occurrence of gale in each wind direction interval

[0104]

[0105] Table 2: Stress ratio of power transmission tower bars in the NW wind direction and wind-induced response considering the wind direction effect

[0106] Example 3

[0107] Based on the same inventive concept, the application also provides a power transmission tower wind-induced strain gauge monitoring and layout system. Since the principles of these devices for solving the technical problems are similar to the power transmission tower wind-induced strain gauge monitoring and layout method, the repeated parts will not be described again.

[0108] The basic structure of the system is shown in Figure 5 , and includes a data statistics module, a model simulation module and a position determination module.

[0109] The data statistics module is configured to divide the full wind direction into multiple wind direction intervals according to wind direction angles, and calculate a probability of occurrence of a gale with a wind speed exceeding a set threshold in each wind direction interval according to meteorological data of a monitoring area.

[0110] The model simulation module is configured to calculate wind-induced responses of each member of the model tower in each wind direction interval through finite element modeling.

[0111] The determination module is configured to determine the members to which strain gauges are installed and the positions at which the strain gauges are installed based on the wind-induced responses of each member in each wind direction interval and the probability of occurrence of a gale in each wind direction interval.

[0112] The detailed structure of the power transmission tower wind-induced strain gauge monitoring and layout system is shown in Figure 6 .

[0113] The data statistics module includes a division unit, a screening unit and a probability calculation unit.

[0114] The division unit is configured to divide the full wind direction into multiple wind direction intervals according to wind direction angles.

[0115] The screening unit is configured to screen gale data with a wind speed exceeding a set threshold from historical meteorological data of a monitoring area as gale sample data.

[0116] The probability calculation unit is configured to calculate a probability of occurrence of a gale in each wind direction interval based on the gale sample data.

[0117] The model simulation module includes a model establishment unit, a wind load application unit and a wind-induced response calculation unit.

[0118] The model establishment unit is configured to establish a finite element calculation model based on the monitoring tower and each member of the tower.

[0119] The wind load application unit is configured to apply wind load to the model tower in each wind direction interval.

[0120] The wind-induced response calculation unit is configured to calculate wind-induced responses of each member of the model tower in each wind direction interval.

[0121] The determination module includes an operation unit and an installation determination unit.

[0122] The operation unit is configured to determine weighted wind-induced responses of each member of the tower in each wind direction interval based on the wind-induced responses of each member in each wind direction interval and the probability of occurrence of a gale in each wind direction interval.

[0123] The installation determining unit is configured to compare each weighted wind-induced response, and select the corresponding rod and the wind direction interval of the larger value as the rod and the position of the strain gauge installation.

[0124] The installation determining unit comprises an arrangement sub-unit, a selection sub-unit and an installation sub-unit.

[0125] The arrangement sub-unit is configured to arrange each weighted wind-induced response in descending order.

[0126] The selection sub-unit is configured to select the corresponding rod and the wind direction interval of the larger value as the strain gauge monitoring position.

[0127] The installation sub-unit is configured to install the wind-induced strain gauge at the strain gauge monitoring position.

[0128] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can be in the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0129] The present application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing devices to produce a machine, so that the instructions executed by the computer or other programmable data processing devices produce a device implemented in the flowcharts and / or block diagrams. Figure 1 The function specified in one or more flows and / or blocks. Figure 1 The device for implementing the function specified in one or more flows and / or blocks.

[0130] These computer program instructions can also be stored in a computer-readable memory capable of guiding the computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product comprising instruction devices, which implement the flowcharts and / or block diagrams. Figure 1 The function specified in one or more flows and / or blocks. Figure 1 The device for implementing the function specified in one or more flows and / or blocks.

[0131] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are performed on the computer or other programmable data processing devices to generate computer-implemented processes, thus the instructions executed on the computer or other programmable data processing devices provide processes for implementing the functions specified in the flowchart Figure 1 one flow or a plurality of flows and / or the functions specified in the block Figure 1 one flow or a plurality of flows and / or the functions specified in the block

[0132] The above only is the embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application, are included in the claim range of the application to be approved.

Claims

1. A method for monitoring a power transmission tower wind-induced strain gauge layout, characterized in that, The method comprises the following steps: dividing the whole wind direction into multiple wind direction intervals according to wind direction angles, and calculating the probability of strong wind occurrence in each wind direction interval when the wind speed exceeds a set threshold according to meteorological data of the monitoring area; calculating the wind-induced response of each member of the model tower in each wind direction interval through finite element modeling; determining the member to which the strain gauge is installed and the position of the strain gauge installation based on the wind-induced response of each member in each wind direction interval and the probability of strong wind occurrence in each wind direction interval; The method for determining the member to which the strain gauge is installed and the position of the strain gauge installation based on the wind-induced response of each member in each wind direction interval and the probability of strong wind occurrence in each wind direction interval comprises: determining the weighted wind-induced response of each member in each wind direction interval of the tower based on the wind-induced response of each member in each wind direction interval and the probability of strong wind occurrence in each wind direction interval; comparing and analyzing each weighted wind-induced response to select the member corresponding to the larger value and the wind direction interval as the member to which the strain gauge is installed and the position of the strain gauge installation; The calculation formula of the weighted wind-induced response of each member in each wind direction interval of the tower is: F i,j,weighted = F i,j x P i wherein F i,j,weighted is the weighted wind-induced response of the jth member in the tower in the ith wind direction interval, F i,j is the wind-induced response of the jth member in the tower in the ith wind direction interval, P i is the probability of occurrence of a strong wind in the ith wind direction interval; The method for comparing and analyzing each weighted wind-induced response to select the member corresponding to the larger value and the wind direction interval as the member to which the strain gauge is installed and the position of the strain gauge installation comprises: arranging each weighted wind-induced response in descending order; selecting the member corresponding to the larger value and the wind direction interval as the strain gauge monitoring position; installing a wind-induced strain gauge at the strain gauge monitoring position; The method for calculating the wind-induced response of each member of the model tower in each wind direction interval through finite element modeling comprises: establishing a finite element calculation model based on the monitoring tower and each member of the tower; applying the wind load corresponding to each wind direction interval to the model tower in each wind direction interval; calculating the wind-induced response of each member of the model tower in each wind direction interval.

2. The method of claim 1, wherein the wind-induced strain gauge monitoring arrangement is configured to monitor the strain of the tower at a plurality of locations on the tower. The method for dividing the whole wind direction into multiple wind direction intervals according to wind direction angles and calculating the probability of strong wind occurrence in each wind direction interval when the wind speed exceeds a set threshold according to meteorological data of the monitoring area comprises: equally dividing the whole wind direction into multiple wind direction intervals according to wind direction angles; screening strong wind data with wind speed exceeding a set threshold from historical meteorological data of the monitoring area as strong wind sample data; calculating the probability of strong wind occurrence in each wind direction interval based on the strong wind sample data.

3. The method of claim 2, wherein the wind-induced strain gauge monitoring arrangement is configured to monitor the strain of the tower at a plurality of locations on the tower. The calculation formula for calculating the probability of strong wind occurrence in each wind direction interval based on the strong wind sample data is: where P i is the probability of strong wind in the i-th wind direction interval, n i is the number of strong wind samples in the i-th wind direction interval, and m is the total number of strong wind samples.

4. The method of claim 1, wherein the method further comprises: The set threshold is 17 m / s.

5. A system for monitoring the deployment of the wind-induced strain gauge of the power transmission tower of claim 1, characterized by, The method comprises the following steps: a data statistical module, a model simulation module and a position determination module; The data statistical module is configured to divide the whole wind direction into multiple wind direction intervals according to wind direction angles, and calculate the probability of strong wind occurrence in each wind direction interval when the wind speed exceeds a set threshold according to meteorological data of the monitoring area; The model simulation module is configured to calculate the wind-induced response of each member of the model tower in each wind direction interval through finite element modeling; The position determination module is configured to determine the member to which the strain gauge is installed and the position of the strain gauge installation based on the wind-induced response of each member in each wind direction interval and the probability of strong wind occurrence in each wind direction interval; The model simulation module comprises a model establishment unit, a wind load application unit and a wind-induced response calculation unit. The model establishing unit is configured to establish a finite element calculation model based on the monitoring iron tower and each member of the iron tower; The wind load applying unit is configured to apply wind load to the model iron tower in each wind direction interval; The wind-induced response calculating unit is configured to calculate wind-induced responses of each member of the model iron tower in each wind direction interval.

6. The system of claim 5, wherein, The position determining module comprises an operation unit and an installation determining unit; The operation unit is configured to determine weighted wind-induced responses of each member of the iron tower in each wind direction interval based on the wind-induced responses of each member in each wind direction interval and the probability of occurrence of strong wind in each wind direction interval; The installation determining unit is configured to compare and analyze each weighted wind-induced response, select a member corresponding to a larger value and a wind direction interval as a member to which a strain gauge is installed and a position at which the strain gauge is installed.

Images