A method and system for locating loose bolts of a power transmission tower based on multi-channel interaction

Abstract

The application is particularly a power transmission tower loose bolt positioning method based on multi-channel interaction, which specifically comprises the following steps: dividing the overall area into a first monitoring area, a second monitoring area and a third monitoring area according to the power transmission tower position area, wherein the first monitoring area, the second monitoring area and the third monitoring area correspond to the tower bottom area, the tower body area and the tower top area of the power transmission tower position area respectively; obtaining the first parameter of the overall area of the power transmission tower, determining the parameter interval of the overall area of the power transmission tower according to a preset first threshold interval, and the parameter interval comprises an abnormal interval and a normal interval; when the abnormal interval is output, determining whether there is a bolt abnormality according to the overall situation of the tower, then determining a specific loose point according to the specific vibration condition, and simultaneously determining the area collection frequency according to the abnormal condition to maximize the utilization of the equipment. The application provides a power transmission tower loose bolt positioning method and system based on multi-channel interaction to improve the positioning of loose bolts and improve the maintenance efficiency of the power transmission tower.

Description

Technical Field

[0001] This invention belongs to the field of power transmission equipment technology, and specifically relates to a method and system for locating loose bolts on power transmission towers based on multi-channel interaction. Background Technology

[0002] Transmission towers are constructed by connecting tower materials with bolts. Under long-term natural conditions, bolts on transmission line towers can loosen. If not addressed promptly, this can lead to tower collapse and line breakage. Due to the large number of bolts and the complex structure, strong winds and large temperature differences can cause the bolt connections to loosen and fail. When bolts loosen, under appropriate wind loads, it can sometimes cause abnormal vibration or resonance at the tower top, leading to swaying and warping deformation at the top of the tower, fatigue failure of tower components, structural instability, and even collapse. This seriously endangers the safety of communication and power transmission networks. Therefore, early diagnosis of loose tower bolts is particularly important.

[0003] Currently, the main monitoring focus is on using sensors and other components to measure the pressure and vibration of bolts to determine whether they are loose. However, since bolt loosening is an inevitable process, and there are a large number of bolts on the tower, it is impossible to monitor every single one. Moreover, the loosening process is asynchronous; some bolts loosen quickly while others do not. This makes it difficult to locate the loose bolts. Summary of the Invention

[0004] To address the aforementioned problems, this invention provides a method and system for locating loose bolts on power transmission towers based on multi-channel interaction, thereby improving the location of loose bolts and further enhancing the maintenance efficiency of power transmission towers.

[0005] According to one aspect of the present invention, a method for locating loose bolts on power transmission towers based on multi-channel interaction is provided, wherein the method includes:

[0006] The entire area is divided into a first monitoring zone, a second monitoring zone, and a third monitoring zone based on the location of the transmission towers. The first monitoring zone, the second monitoring zone, and the third monitoring zone correspond to the base area, the body area, and the top area of ​​the transmission tower, respectively.

[0007] Obtain the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to the preset first threshold range. The parameter range includes an abnormal range and a normal range.

[0008] When outputting abnormal intervals, the vibration parameters corresponding to the first monitoring zone, the second monitoring zone, and the third monitoring zone are determined based on the vibration signal;

[0009] An abnormal region is determined based on the vibration parameters and preset standard vibration parameters. The abnormal region includes at least one of the first monitoring region, the second monitoring region, and the third monitoring region.

[0010] Obtain the deviation range of the abnormal area, determine the monitoring level of the abnormal area according to the preset second threshold range, determine the sampling frequency of each monitoring point according to the monitoring level, and immediately trigger an alarm when the monitoring level is the highest, and call all monitoring points in the abnormal area to sample at the maximum frequency.

[0011] The specific implementation plan of this method also includes a process for adjusting the monitoring level, specifically including:

[0012] The monitoring period is obtained, and the abnormal situation in the abnormal area is obtained within the monitoring period. The monitoring period is constructed from the first occurrence of an abnormal situation in the abnormal area as the start point and the end point of the monitoring period is a preset time.

[0013] If no abnormalities are found during the monitoring period, the monitoring period is reconstructed starting from the end point. If no abnormalities are found during N consecutive monitoring periods, the monitoring level is reduced to the next level.

[0014] If an abnormal situation occurs during the monitoring period, the monitoring level will be immediately upgraded to the next level, and the monitoring period will be reconstructed based on the point where the abnormal situation occurred. If the duration of two abnormal situations is less than the third threshold, an alarm will be triggered immediately.

[0015] In a specific implementation of this method, dividing the overall area into a first monitoring zone, a second monitoring zone, and a third monitoring zone based on the location of the transmission towers includes:

[0016] Construct a model that matches the overall area of ​​the transmission tower, and based on the overall structure of the transmission tower, designate the height range of the tower legs as the first monitoring area;

[0017] The second monitoring zone is defined as the height range extending evenly upwards from the highest point of the tower leg to the highest point.

[0018] The part above the point where the tower cross-section changes drastically is called the tower head. If there is no drastic change in cross-section, the part above the lower chord of the lower crossarm is called the tower head, which is the third monitoring zone.

[0019] In a specific implementation of this method, obtaining the first parameter of the entire transmission tower area and determining the parameter range of the entire transmission tower area based on a preset first threshold range includes:

[0020] Obtain the triaxial vibration acceleration of the entire transmission tower area;

[0021] Based on the changes in data from the horizontal X and Y axes and the Z axis perpendicular to the ground, the overall tilt and direction of the transmission tower are determined, and the trend of change is determined based on the rate of change of the data.

[0022] The tilt degree and direction are compared with the preset first threshold range. If it is within the first threshold range, the entire area of ​​the transmission tower is in the normal range. If it exceeds the first threshold range, the entire transmission tower is in the abnormal range.

[0023] Furthermore, when the degree and direction of tilt are at the first threshold and the trend of change exceeds the preset range, the entire area of ​​the transmission tower is also an abnormal area.

[0024] In a specific implementation of this method, when the abnormal output interval is reached, the vibration parameters corresponding to the first monitoring zone, the second monitoring zone, and the third monitoring zone are determined based on the vibration signal, including:

[0025] When an abnormal range is output, elastic waves are generated at each monitoring point in the corresponding monitoring area, where the monitoring point is a tower material connected by bolts.

[0026] Obtain vibration signals from the tower material at the excitation point and from the tower materials connected by bolts;

[0027] The vibration signal is analyzed using the autocorrelation variational mode decomposition method, and the output is the vibration parameters.

[0028] In a specific implementation of this method, determining the abnormal region based on the vibration parameters and preset standard vibration parameters includes:

[0029] Obtain preset standard vibration parameters and compare them with the vibration parameters;

[0030] If the vibration parameters exceed the standard vibration parameters, the monitoring area is determined based on the location of the monitoring point where the vibration parameters are abnormal. This monitoring area is the abnormal area.

[0031] The monitoring points generated by the abnormal locations are called abnormal sub-regions, and there is at least one abnormal sub-region.

[0032] In a specific implementation of this method, after identifying the abnormal sub-region, the following steps are also included:

[0033] Obtain image information of abnormal sub-regions;

[0034] The acquired image information is compared with the pre-stored standard image.

[0035] The specific location of the loose bolt is determined by identifying anomalies based on image comparison results.

[0036] If the comparison results do not show any anomalies, then manual verification will be performed.

[0037] In a specific implementation of this method, the first frequency of occurrence of the abnormal situation is obtained, as well as the image comparison result corresponding to the first frequency;

[0038] The image did not show any abnormalities, and manual verification confirmed that there was no second instance of loosening.

[0039] If the ratio of the second frequency to the first frequency exceeds a preset fourth threshold, a verification signal is output.

[0040] Based on the verification signal, the deviation range of the abnormal sub-region is adjusted.

[0041] According to another aspect of the present invention, a multi-channel interactive system for locating loose bolts on power transmission towers is provided, wherein the system comprises:

[0042] The area division module is used to divide the overall area into a first monitoring area, a second monitoring area, and a third monitoring area according to the location area of ​​the transmission tower. The first monitoring area, the second monitoring area, and the third monitoring area correspond to the base area, the body area, and the top area of ​​the transmission tower location area, respectively.

[0043] The anomaly acquisition module, wherein the anomaly determination module is used to acquire the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to a preset first threshold range, wherein the parameter range includes an anomaly range and a normal range;

[0044] An anomaly confirmation module is used to determine the vibration parameters corresponding to the first monitoring area, the second monitoring area, and the third monitoring area based on the vibration signal, and to determine the abnormal area based on the vibration parameters and the preset standard vibration parameters. The abnormal area includes at least one of the first monitoring area, the second monitoring area, and the third monitoring area.

[0045] The anomaly monitoring module, specifically the anomaly level adjustment module, is used to obtain the deviation range of the anomaly area, determine the monitoring level of the anomaly area based on a preset second threshold range, and determine the sampling frequency of each monitoring point based on the monitoring level. When the monitoring level is the highest, an alarm is immediately triggered, and all monitoring points within the anomaly area are called up to sample at the maximum frequency.

[0046] The specific implementation plan of the system also includes a level adjustment module, which is used to adjust the monitoring level of abnormal areas according to abnormal conditions.

[0047] According to another aspect of the present invention, a multi-channel interactive positioning terminal for loose bolts on power transmission towers is provided, the terminal comprising:

[0048] At least one processor;

[0049] and a memory communicatively connected to the at least one processor;

[0050] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for locating loose bolts on power transmission towers based on multi-channel interaction.

[0051] Compared with existing technologies, the beneficial effects are:

[0052] 1. By acquiring the triaxial vibration acceleration of the tower body, it is possible to quickly determine whether there are loose bolts on the entire transmission tower. It can detect abnormalities when the bolts are loose at an early stage, and it does not require monitoring each bolt individually, thus reducing the cost of sampling each bolt.

[0053] 2. Under the premise of overall anomaly, the location of the abnormal point can be determined based on the vibration parameters of the excitation point. At the same time, the monitoring level can be determined based on the deviation range of the abnormal situation, and the monitoring frequency can be determined based on different monitoring levels. This allows for the rational use of the acquisition equipment, and the monitoring level can be flexibly adjusted according to the subsequent situation to maximize the use of resources and avoid long-term high-frequency operation of the monitoring equipment. Attached Figure Description

[0054] Figure 1 This is a flowchart illustrating a method for locating loose bolts on power transmission towers based on multi-channel interaction, according to the present invention. Detailed Implementation

[0055] The following detailed description, in conjunction with the accompanying drawings, of a method and system for locating loose bolts on power transmission towers based on multi-channel interaction, according to the present invention.

[0056] Figure 1 This is a flowchart of a method for locating loose bolts on power transmission towers based on multi-channel interaction, according to the present invention. This embodiment is applicable to situations where bolts are loose. The method can be executed by a multi-channel interactive power transmission tower loose bolt locating system, which can be configured in a multi-channel interactive power transmission tower loose bolt locating terminal. Figure 1 As shown, the method includes:

[0057] S1. The entire area is divided into a first monitoring area, a second monitoring area, and a third monitoring area according to the location of the transmission tower. The first monitoring area, the second monitoring area, and the third monitoring area correspond to the base area, the body area, and the top area of ​​the transmission tower location area, respectively.

[0058] The division process is based on the specific structure of the transmission tower. The method involves constructing a model that matches the overall area of ​​the transmission tower. The height range of the tower legs is used as the first monitoring area, and the height range extending evenly upwards from the highest point of the tower legs to the highest point is used as the second monitoring area.

[0059] The portion above the point where the tower cross-section changes drastically (appearing a broken line) is designated as the tower head. If there is no drastic change in cross-section, the portion above the lower chord of the lower crossarm is designated as the tower head, which is the third monitoring zone.

[0060] In an embodiment of the present invention, the height range of the tower legs of the transmission tower is the bottom of the transmission tower cage, which has many bolts at the bottom. Therefore, it is used as a separate monitoring area. The tower body is located above the bottom of the cage and is relatively stable. Therefore, the connection point between the tower body and the bottom of the cage (including the connection point) to the location where the change occurs is taken as the second monitoring area. Although the tower top is a small area overall, it is the highest point and is most affected by wind and the environment. Therefore, it is used as a separate monitoring area. Of course, in addition to the above division method, it can also be divided according to the distribution of bolts on the model and the actual situation. The specific division method will not be described in detail here.

[0061] S2. Obtain the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to the preset first threshold range. The parameter range includes an abnormal range and a normal range.

[0062] Specifically, this involves obtaining the triaxial vibration acceleration of the entire area of ​​the transmission tower.

[0063] Based on the changes in data from the horizontal X and Y axes and the Z axis perpendicular to the ground, the overall tilt and direction of the transmission tower are determined, and the trend of change is determined based on the rate of change of the data.

[0064] The tilt degree and direction are compared with a preset first threshold range. If it is within the first threshold range, the entire area of ​​the transmission tower is in the normal range. If it exceeds the first threshold range, the entire transmission tower is in the abnormal range.

[0065] Furthermore, when the degree and direction of tilt are at the first threshold and the trend of change exceeds the preset range, the entire area of ​​the transmission tower is also an abnormal area.

[0066] In an embodiment of the invention, when the tower bolts are loose, the tower body will vibrate and sway abnormally under appropriate wind load. Therefore, a method of acquiring the triaxial vibration acceleration of the tower body is adopted. Specifically, a certain monitoring frequency can be set to achieve multiple monitoring to measure abnormal data under appropriate wind load. The first threshold is not a single value, but a summary of thresholds for multiple data. Specifically, the first threshold should include different thresholds set on the three axes of acceleration X, Y, and Z. By comparing the above thresholds, the overall tilt degree and direction of the transmission tower can be determined (a commonly used transmission tower vibration, sway, tilt, and acceleration recorder, such as the American Mikkel, can be used). The MT-Ultrashock-TT system indicates an overall anomaly in the transmission tower if the acceleration on the X, Y, and Z axes does not fall within the threshold range. Even if these parameters are normal, an anomaly is also identified if their trends exceed preset limits. (This is because loose bolts require intervention, which takes time. When the trend exceeds the preset limit, the bolts are actually slightly loose, but the overall condition hasn't reached the warning point. Once a bolt becomes slightly loose, it may worsen in a short period, hence the need for early intervention.) This system allows for rapid determination of whether there is bolt loosening on the transmission tower based on the three-axis vibration acceleration.

[0067] Using the above method, abnormalities can be detected when bolts loosen early, without the need to monitor each bolt individually. Once an abnormality is detected in a bolt, further location can be determined.

[0068] S3. When the output is in an abnormal range, determine the vibration parameters corresponding to the first monitoring zone, the second monitoring zone, and the third monitoring zone based on the vibration signal.

[0069] Specifically, when an abnormal interval is output, elastic waves are generated at each monitoring point in the corresponding monitoring area, where the monitoring point is a tower material connected by bolts.

[0070] Obtain vibration signals from the tower material at the excitation point and from the tower materials connected by bolts;

[0071] The vibration signal is analyzed using the autocorrelation variational mode decomposition method, and the output is the vibration parameters.

[0072] In embodiments of this invention, elastic waves are generated through excitation (using a pulse exciter, specifically installed at the monitoring point). The vibration signal generated at the excitation point is analyzed using the autocorrelation variational mode decomposition (VMD) method. Before signal analysis, the acquired vibration signal needs to be preprocessed, such as denoising and normalization, to improve the accuracy of signal processing. Then, the VMD method is applied: the preprocessed vibration signal is analyzed using the VMD method. VMD is an adaptive signal processing method that can determine the number of mode decompositions and frequency centers based on the characteristics of the signal itself. This method estimates the mode functions of the signal through a variational optimization problem, obtaining a series of intrinsic mode functions (IMFs). By performing VMD decomposition on the vibration signal, the signal spectrum can be obtained. Spectral analysis helps identify key frequency components in the signal, which may be related to the loosening state of the bolt; these frequency components serve as vibration parameters.

[0073] S4. Determine the abnormal region based on the vibration parameters and the preset standard vibration parameters. The abnormal region includes at least one of the first monitoring region, the second monitoring region, and the third monitoring region.

[0074] Specifically, this involves: obtaining preset standard vibration parameters and comparing them with the vibration parameters;

[0075] If the vibration parameters exceed the standard vibration parameters, the monitoring area is determined based on the location of the monitoring point where the vibration parameters are abnormal. This monitoring area is the abnormal area.

[0076] The monitoring points generated by the abnormal locations are called abnormal sub-regions, and there is at least one abnormal sub-region.

[0077] In an embodiment of the present invention, the vibration parameters are the key frequency components. After analyzing the spectrum, if the key frequency components are abnormal compared with the standard vibration parameters, there may be signs of bolt loosening. At this time, the abnormal part is determined to be in the first monitoring area, the second monitoring area, and the third monitoring area. That is, any of the above monitoring areas may be abnormal areas. At the same time, the part that causes the abnormality, that is, the monitoring point, is an abnormal sub-region. Since there may be more than one loosening, there is at least one abnormal sub-region.

[0078] S5. Obtain the deviation range of the abnormal area, determine the monitoring level of the abnormal area according to the preset second threshold range, determine the sampling frequency of each monitoring point according to the monitoring level, and immediately trigger an alarm when the monitoring level is the highest, and call all monitoring points in the abnormal area to sample at the maximum frequency.

[0079] In embodiments of the present invention, the deviation range is the range of differences between the vibration parameters and the standard vibration parameters. The second threshold interval includes multiple intervals. The monitoring level of the abnormal area is determined based on the different intervals the deviation range falls within. If the deviation exceeds the maximum allowable interval, the monitoring level is adjusted to the highest level, and an alarm signal is issued. At this time, all monitoring points within the abnormal area are sampled at the maximum frequency. The purpose of this design is that if a significant loosening occurs at a monitoring point, the swaying of the tower will intensify due to wind load and environmental factors, easily affecting other normal monitoring points. If only the loose point is addressed, other monitoring points are also prone to loosening during the response period. Therefore, when an alarm occurs, all monitoring points within the abnormal area are immediately activated for real-time monitoring until all loose bolts are repaired. If no abnormalities are found at other monitoring points, the frequency of the other monitoring points is reduced to the initial level. The monitoring level can be level one, level two, level three, etc., and the specific interval settings can be configured according to the efficiency of the response department.

[0080] It should be noted that the frequency used refers to the process of obtaining vibration parameters, that is, the frequency monitored by pulse excitation.

[0081] In addition, this invention also includes a process for adjusting the monitoring level, specifically including:

[0082] The monitoring period is obtained, and the abnormal situation in the abnormal area is obtained within the monitoring period. The monitoring period is constructed from the first occurrence of an abnormal situation in the abnormal area as the start point and the end point of the monitoring period is a preset time.

[0083] If no abnormalities are found during the monitoring period, the monitoring period is reconstructed starting from the end point. If no abnormalities are found during N consecutive monitoring periods, the monitoring level is reduced to the next level, where N is a positive integer.

[0084] If an abnormal situation occurs during the monitoring period, the monitoring level will be immediately upgraded to the next level, and the monitoring period will be reconstructed based on the point where the abnormal situation occurred. If the duration of two abnormal situations is less than the third threshold, an alarm will be triggered immediately.

[0085] In this embodiment of the invention, when an abnormal situation occurs, the monitoring period begins when the first abnormal situation occurs in the abnormal area, and ends at a preset time (which can be set according to actual needs and is not limited here). If no abnormality occurs within the monitoring period, the monitoring period is reconstructed. If no abnormality occurs within consecutive monitoring periods, the monitoring level is reduced to decrease the monitoring frequency and reduce equipment consumption. Subsequently, the monitoring level is gradually reduced as the period lengthens. However, if an abnormality occurs again, the monitoring level is directly upgraded to the level required for the abnormal situation. If an abnormality occurs again within the monitoring period, the monitoring level is immediately upgraded, and the monitoring period is reconstructed. If the abnormality persists, the level is upgraded again. Simultaneously, if the time interval between two adjacent abnormal situations is lower than a preset third threshold, an alarm is immediately triggered, causing the abnormal point to be sampled at the maximum frequency. Other monitoring points in the same abnormal area continue to be monitored at the original level. Using the above method, more reasonable monitoring of abnormal situations can be performed, maximizing monitoring efficiency and avoiding excessive operation of the monitoring equipment.

[0086] In an embodiment of the invention, after determining the abnormal sub-region, the method further includes:

[0087] Obtain image information of abnormal sub-regions;

[0088] The acquired image information is compared with the pre-stored standard image.

[0089] The specific location of the loose bolt is determined by identifying anomalies based on image comparison results.

[0090] If the comparison results do not show any anomalies, then manual verification will be performed.

[0091] In the above embodiments, after identifying the abnormal sub-region, the image information of the abnormal sub-region can be extracted from the real-time images captured by monitoring equipment (fixed cameras, etc.), compared with the standard image, and it can be determined whether there is an obvious abnormality. If there is an obvious abnormality, a corresponding solution can be arranged for repair. If no obvious abnormality is found, the abnormal sub-region has been pinpointed to the connection point, so it is manually verified. If it exists, it is repaired; if there is no abnormality, it is recorded.

[0092] More specifically, obtain the first frequency of occurrence of the anomaly, and the image comparison results corresponding to the first frequency;

[0093] The image did not show any abnormalities, and manual verification confirmed that there was no second instance of loosening.

[0094] If the ratio of the second frequency to the first frequency exceeds a preset fourth threshold, a verification signal is output.

[0095] Based on the verification signal, the deviation range of the abnormal sub-region is adjusted.

[0096] In the above method, when an anomaly occurs and the image does not show the anomaly point, manual verification may reveal that the threshold is not loose. This situation is due to the fact that under different wind loads or other extreme conditions, the front-end equipment may have certain deviations during monitoring. Therefore, when the ratio of the second frequency occurrence is large, it indicates that the threshold at the anomaly point may be unreasonable. Therefore, it is necessary to adjust it according to the actual situation to avoid repeated false alarms.

[0097] This invention also provides a multi-channel interactive system for locating loose bolts on power transmission towers, comprising:

[0098] The area division module is used to divide the overall area into a first monitoring area, a second monitoring area, and a third monitoring area according to the location area of ​​the transmission tower. The first monitoring area, the second monitoring area, and the third monitoring area correspond to the base area, the body area, and the top area of ​​the transmission tower location area, respectively.

[0099] The anomaly acquisition module, wherein the anomaly determination module is used to acquire the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to a preset first threshold range, wherein the parameter range includes an anomaly range and a normal range;

[0100] An anomaly confirmation module is used to determine the vibration parameters corresponding to the first monitoring area, the second monitoring area, and the third monitoring area based on the vibration signal, and to determine the abnormal area based on the vibration parameters and the preset standard vibration parameters. The abnormal area includes at least one of the first monitoring area, the second monitoring area, and the third monitoring area.

[0101] The anomaly monitoring module, specifically the anomaly level adjustment module, is used to obtain the deviation range of the anomaly area, determine the monitoring level of the anomaly area based on a preset second threshold range, and determine the sampling frequency of each monitoring point based on the monitoring level. When the monitoring level is the highest, an alarm is immediately triggered, and all monitoring points within the anomaly area are called up to sample at the maximum frequency.

[0102] In this embodiment of the invention, the location area of ​​the transmission tower is first divided into a first monitoring area, a second monitoring area, and a third monitoring area by a region division module. Then, an anomaly acquisition module acquires the first parameter of the entire transmission tower area. By comparing this parameter with a first threshold interval, it is determined whether it is an abnormal interval. After confirming the abnormal interval, vibration parameters are further acquired to determine the abnormal area. The monitoring level is determined based on the vibration parameters, and the acquisition frequency is determined based on the monitoring level. At the highest monitoring level, a significant loosening occurs at a certain monitoring point. Due to wind load and environmental influences, the tower's swaying will intensify, easily affecting other normal monitoring points. If only the loosening point is addressed, other monitoring points are also prone to loosening during the corresponding period. Therefore, when an alarm occurs, all monitoring points within the abnormal area are immediately activated for real-time monitoring until all loose bolts are repaired. If no abnormalities are found at other monitoring points, the frequency of the other monitoring points is reduced to the initial level.

[0103] In some embodiments, the region division module includes:

[0104] The model building unit is used to build a model of the entire area of ​​the transmission tower.

[0105] The segmentation unit is used to divide the model of the entire transmission tower area. The whole is divided into the tower base area, tower body area and tower tip area. The segmentation can be carried out along the connection points.

[0106] In some embodiments, the exception acquisition module includes:

[0107] The parameter acquisition module is used to acquire the triaxial vibration acceleration of the overall swaying of the transmission tower.

[0108] The data processing module is used to determine the overall tilt and direction of the transmission tower based on the changes in data on the horizontal X and Y axes and the Z axis perpendicular to the ground, and to determine the trend of change based on the rate of change of the data.

[0109] The data comparison module is used to compare the degree of tilt and direction with a preset first threshold range. If it is within the first threshold range, the entire area of ​​the transmission tower is in the normal range. If it exceeds the first threshold range, the entire transmission tower is in the abnormal range.

[0110] Furthermore, when the degree and direction of tilt are at the first threshold and the trend of change exceeds the preset range, the entire area of ​​the transmission tower is also an abnormal area.

[0111] In some embodiments, the anomaly confirmation module includes:

[0112] The excitation generation module is used to generate pulse excitation and corresponding elastic waves;

[0113] The signal processing module is used to analyze the vibration signal generated at the excitation point and output it as vibration parameters.

[0114] In some embodiments, the anomaly monitoring module includes:

[0115] The monitoring level determination module is used to determine the monitoring level of abnormal areas based on vibration parameters.

[0116] The monitoring level adjustment module is used to adjust the monitoring level of the abnormal area according to the abnormal situation. The specific adjustment process includes:

[0117] The monitoring period is obtained, and the abnormal situation in the abnormal area is obtained within the monitoring period. The monitoring period is constructed from the first occurrence of an abnormal situation in the abnormal area as the start point and the end point of the monitoring period is a preset time.

[0118] If no abnormalities are found during the monitoring period, the monitoring period is reconstructed starting from the end point. If no abnormalities are found during N consecutive monitoring periods, the monitoring level is reduced to the next level, where N is a positive integer.

[0119] If an abnormal situation occurs during the monitoring period, the monitoring level will be immediately upgraded to the next level, and the monitoring period will be reconstructed based on the point where the abnormal situation occurred. If the duration of two abnormal situations is less than the third threshold, an alarm will be triggered immediately.

[0120] This invention also provides a multi-channel interactive positioning terminal for loose bolts on power transmission towers, comprising:

[0121] At least one processor;

[0122] And a memory, such as a read-only memory (ROM), a random access memory (RAM), etc., that is communicatively connected to the at least one processor;

[0123] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for locating loose bolts on power transmission towers based on multi-channel interaction.

[0124] The memory stores computer programs that can be executed by at least one processor. The processor can perform various appropriate actions and processes based on the computer programs stored in read-only memory (ROM) or loaded from memory cells into random access memory (RAM). RAM can also store various programs and data required for the operation of the electronic device. The processor, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0125] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0126] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

[0127] Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and not intended to limit it. Those skilled in the art should understand that modifications or equivalent substitutions can be made to the specific embodiments of the present invention, but such modifications or alterations are all within the scope of protection of the pending claims.

Claims

1. A method for locating loose bolts on power transmission towers based on multi-channel interaction, characterized in that, include: S1. The entire area is divided into a first monitoring area, a second monitoring area, and a third monitoring area according to the location of the transmission tower. The first monitoring area, the second monitoring area, and the third monitoring area correspond to the base area, the body area, and the top area of ​​the transmission tower location area, respectively. S2. Obtain the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to the preset first threshold range. The parameter range includes an abnormal range and a normal range. The first parameter is the triaxial vibration acceleration of the entire area of ​​the transmission tower swaying. S3. When outputting the abnormal interval, determine the vibration parameters corresponding to the first monitoring area, the second monitoring area, and the third monitoring area according to the vibration signal; S4. Determine the abnormal region based on the vibration parameters and the preset standard vibration parameters. The abnormal region includes at least one of the first monitoring region, the second monitoring region, and the third monitoring region. S5. Obtain the deviation range of the abnormal area, determine the monitoring level of the abnormal area according to the preset second threshold range, determine the sampling frequency of each monitoring point according to the monitoring level, wherein when the monitoring level is the highest, an alarm is immediately triggered, and all monitoring points in the abnormal area are called to sample at the maximum frequency. The process of adjusting the monitoring level specifically includes: The monitoring period is obtained, and the abnormal situation in the abnormal area is obtained within the monitoring period. The monitoring period is constructed from the first occurrence of an abnormal situation in the abnormal area as the start point, and the end point of the monitoring period is a preset time. If no abnormalities are found during the monitoring period, the monitoring period is reconstructed starting from the end point. If no abnormalities are found during N consecutive monitoring periods, the monitoring level is reduced to the next level. If an abnormal situation occurs during the monitoring period, the monitoring level will be immediately upgraded to the next level, and the monitoring period will be reconstructed based on the point where the abnormal situation occurred. If the duration of two abnormal situations is less than the third threshold, an alarm will be triggered immediately.

2. The method for locating loose bolts on transmission towers based on multi-channel interaction according to claim 1, characterized in that, S1 divides the entire area into the first monitoring area, the second monitoring area, and the third monitoring area based on the location of the transmission tower, including: Construct a model that matches the overall area of ​​the transmission tower, and define the height range of the tower legs as the first monitoring area based on the overall structure of the transmission tower; The second monitoring zone is defined as the height range extending uniformly upwards from the highest point of the tower leg to the highest point. The part above the point where the tower cross-section changes drastically is called the tower head. If there is no drastic change in cross-section, the part above the lower chord of the lower crossarm is called the tower head, which is the third monitoring area.

3. The method for locating loose bolts on transmission towers based on multi-channel interaction according to claim 1, characterized in that, In S2, the first parameter of the entire transmission tower area is obtained, and the parameter range of the entire transmission tower area is determined according to the preset first threshold range, including: Obtain the triaxial vibration acceleration of the entire transmission tower area; Based on the changes in data from the horizontal X and Y axes and the Z axis perpendicular to the ground, the overall tilt and direction of the transmission tower are determined, and the trend of change is determined based on the rate of change of the data. The tilt degree and direction are compared with the preset first threshold range. If it is within the first threshold range, the entire area of ​​the transmission tower is in the normal range. If it exceeds the first threshold range, the entire transmission tower is in the abnormal range. Furthermore, when the degree and direction of tilt are at the first threshold and the trend of change exceeds the preset range, the entire area of ​​the transmission tower is also an abnormal area.

4. The method for locating loose bolts on transmission towers based on multi-channel interaction according to claim 3, characterized in that, When an abnormal interval is output in S3, the vibration parameters corresponding to the first monitoring area, the second monitoring area, and the third monitoring area are determined based on the vibration signal, including: When an abnormal range is output, elastic waves are generated at each monitoring point in the corresponding monitoring area, where the monitoring point is a tower material connected by bolts. Obtain vibration signals from the tower material at the excitation point and from the tower materials connected by bolts; The vibration signal is analyzed using the autocorrelation variational mode decomposition method, and the output is the vibration parameters.

5. The method for locating loose bolts on transmission towers based on multi-channel interaction according to claim 4, characterized in that, S4 determines the abnormal region based on the vibration parameters and preset standard vibration parameters, including: Obtain preset standard vibration parameters and compare them with the vibration parameters; If the vibration parameters exceed the standard vibration parameters, the monitoring area is determined based on the location of the monitoring point where the abnormal vibration parameters are located, and this monitoring area is the abnormal area. The monitoring points generated at the abnormal locations are called abnormal sub-regions, and there is at least one abnormal sub-region.

6. The method for locating loose bolts on transmission towers based on multi-channel interaction according to claim 5, characterized in that, After identifying the abnormal sub-regions, the following is also included: Obtain image information of the abnormal sub-region; The acquired image information is compared with the pre-stored standard image. The specific location of the loose bolt is determined by identifying anomalies based on image comparison results. If the comparison results do not show any anomalies, then manual verification will be performed; Obtain the first frequency of occurrence of the abnormal situation, and the image comparison results corresponding to the first frequency; The image did not show any abnormalities, and manual verification confirmed that there was no second instance of loosening. If the ratio of the second frequency to the first frequency exceeds a preset fourth threshold, a verification signal is output. Based on the verification signal, the deviation range of the abnormal sub-region is adjusted.

7. A multi-channel interactive system for locating loose bolts on transmission towers, using the multi-channel interactive method for locating loose bolts on transmission towers as described in any one of claims 1-6, characterized in that... include: The area division module is used to divide the overall area into a first monitoring area, a second monitoring area, and a third monitoring area according to the location area of ​​the transmission tower. The first monitoring area, the second monitoring area, and the third monitoring area correspond to the base area, the body area, and the top area of ​​the transmission tower location area, respectively. An anomaly acquisition module is used to acquire the first parameter of the entire area of ​​the transmission tower, and determine the parameter range of the entire area of ​​the transmission tower according to a preset first threshold range. The parameter range includes an anomaly range and a normal range. An anomaly confirmation module is used to determine the vibration parameters corresponding to the first monitoring area, the second monitoring area, and the third monitoring area based on the vibration signal, and to determine the abnormal area based on the vibration parameters and the preset standard vibration parameters. The abnormal area includes at least one of the first monitoring area, the second monitoring area, and the third monitoring area. An anomaly monitoring module is used to obtain the deviation range of the anomaly area, determine the monitoring level of the anomaly area according to a preset second threshold range, and determine the sampling frequency of each monitoring point according to the monitoring level. When the monitoring level is the highest, an alarm is immediately triggered, and all monitoring points in the anomaly area are called to sample at the maximum frequency.

8. A multi-channel interactive power transmission tower loose bolt positioning system according to claim 7, characterized in that, It also includes a level adjustment module, which is used to adjust the monitoring level of abnormal areas according to abnormal conditions.

9. A multi-channel interactive positioning terminal for loose bolts on power transmission towers, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, which is then executed by the at least one processor to enable the at least one processor to perform the method for locating loose bolts on transmission towers based on multi-channel interaction as described in any one of claims 1-6.

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