Method and system for evaluating abnormal state of power transmission tower

Abstract

The invention discloses a power transmission tower abnormal state assessment method and system, and the method comprises the steps: firstly obtaining the inclination data of a to-be-assessed power transmission tower, and transmitting the inclination data to an edge gateway; then under the condition that the inclination data exceeds a first preset threshold value or the earth surface displacement exceeds a second preset threshold value, performing fast Fourier transform on the abnormal inclination data to obtain an abnormal frequency interval, and then determining an abnormal event type according to the abnormal frequency interval; calculating an extreme degree value corresponding to the abnormal event type according to the earth surface displacement and the inclination data; and finally, determining the abnormal event type and the extreme degree value as an abnormal state assessment result of the to-be-assessed power transmission tower. By implementing the method, abnormal state evaluation can be performed in combination with the earth surface displacement of the surrounding geological conditions of the iron tower, and the abnormal state evaluation error of the power transmission iron tower is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of abnormal state assessment of iron towers, and in particular to a method and system for assessing abnormal state of a transmission iron tower. Background Art

[0002] The chain reaction of abnormal conditions of transmission and transformation line towers caused by sudden changes in geological conditions and the subsequent risk of tower collapse pose a serious threat to the safety and stability of the line. The joint perception technology and abnormal condition assessment method for real-time mutation scenarios of geological conditions and the physical state of the tower itself have great practical significance for line operation and maintenance.

[0003] In the existing technology, when evaluating the abnormal state of transmission towers, the data used is limited to the relevant data of the tower itself. There is a lack of methods to monitor and analyze the abnormal state by combining the surface displacement of the geological conditions around the tower, which makes the evaluation results inaccurate. Summary of the Invention

[0004] The present invention provides a method and system for evaluating the abnormal state of a transmission tower, which can perform abnormal state evaluation in combination with surface displacement of geological conditions around the tower, thereby reducing the error in abnormal state evaluation of the transmission tower.

[0005] An embodiment of the present invention provides a method for evaluating abnormal conditions of a transmission tower, comprising:

[0006] Obtaining tilt data of the transmission tower to be evaluated and transmitting the tilt data to an edge gateway; wherein the tilt data includes a tilt angle and a tilt acceleration, and the tilt angle and the tilt acceleration have a one-to-one correspondence;

[0007] When the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, the tilt angle and the tilt acceleration are analyzed to extract abnormal tilt data; wherein the GNSS monitoring station obtains the ground displacement at the location of the transmission tower to be evaluated, and sends the ground displacement to the edge gateway, so that the edge gateway compares the tilt data with the first preset threshold, and compares the ground displacement with the second preset threshold;

[0008] Performing a fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, matching the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in the abnormal event feature library, and taking the abnormal event type corresponding to the preset frequency interval that is the same as the abnormal frequency interval as the abnormal event type of the transmission tower being evaluated;

[0009] The extreme degree value corresponding to the above abnormal event type is calculated based on the above surface displacement and the above tilt data;

[0010] The above abnormal event type and extreme degree value are determined as the abnormal state assessment result of the above transmission tower to be assessed.

[0011] Furthermore, before obtaining the tilt data of the transmission tower to be evaluated, the following steps are also included:

[0012] Obtaining tilt angle change data of the transmission tower to be evaluated over a period of time;

[0013] Calculate the tilt angle change of the transmission tower to be evaluated within the time period based on the tilt angle change data.

[0014] The tilt angle change is compared with a preset tilt angle change threshold, and when the tilt angle change is greater than the preset tilt angle change threshold, the tilt data of the transmission tower to be evaluated is obtained.

[0015] Furthermore, when the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, the tilt angle and tilt acceleration are analyzed to extract abnormal tilt data, including:

[0016] In the case of sufficient current computing power, the tilt angle and the tilt acceleration are divided according to a preset window size to obtain a first angle data set corresponding to the tilt angle and a first acceleration data set corresponding to the tilt acceleration;

[0017] Performing binary clustering on the first angle data set and the first acceleration data set respectively to obtain an angle clustering result corresponding to the tilt angle and an acceleration clustering result corresponding to the tilt acceleration;

[0018] The abnormal tilt data is determined based on the angle clustering result and the acceleration clustering result.

[0019] Furthermore, the above-mentioned determination of the abnormal tilt data based on the above-mentioned angle clustering result and the above-mentioned acceleration clustering result includes:

[0020] If only two angle clusters appear in the above angle clustering results, all angles in the angle cluster with fewer angles in the two angle clusters of the above angle clustering results are taken as the abnormal angle set, and all tilt angles in the data interval of the abnormal angle set are taken as the above abnormal tilt data;

[0021] If only two acceleration clusters appear in the above acceleration clustering results, all acceleration values ​​in the acceleration cluster with fewer accelerations in the two acceleration clusters of the above acceleration clustering results are taken as the abnormal acceleration set, and all tilt accelerations within the data interval of the above abnormal acceleration set are taken as the above abnormal tilt data.

[0022] If two angle clusters and two acceleration clusters appear in the above angle clustering results and the above acceleration clustering results respectively, then all angles in the angle cluster with fewer angles in the above angle clustering results are determined as the abnormal angle set, and all acceleration values ​​in the acceleration cluster with fewer accelerations in the above acceleration clustering results are determined as the abnormal acceleration set, and all tilt angles and tilt accelerations within the data intervals of the above abnormal angle set and the above abnormal acceleration set are used as the above abnormal tilt data.

[0023] Furthermore, when the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, analyzing the tilt angle and tilt acceleration to extract abnormal tilt data further includes:

[0024] In the case of insufficient computing power, a preset number of second angle data sets and second acceleration data sets are extracted in equal proportion within the preset intervals before and after the tilt angle and the tilt acceleration, respectively;

[0025] Calculating the standard deviation of the second angle data set and the second acceleration data set respectively to obtain the angle standard deviation and the acceleration standard deviation;

[0026] Comparing the angle standard deviation with a preset angle standard deviation, and comparing the acceleration standard deviation with a preset acceleration standard deviation;

[0027] According to the comparison results, the above abnormal tilt data is determined.

[0028] Furthermore, the above-mentioned abnormal tilt data is determined based on the comparison results, including:

[0029] In a case where only the angle standard deviation is greater than the preset angle standard deviation, all tilt angles within the data interval of the second angle data set are regarded as the abnormal tilt data;

[0030] In a case where only the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt accelerations within the data interval of the second acceleration data set are regarded as the abnormal tilt data;

[0031] When the angle standard deviation is greater than the preset angle standard deviation and the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt angles and tilt accelerations within the data interval of the second angle data set and the second acceleration data set are regarded as the abnormal tilt data.

[0032] Furthermore, the extreme degree value corresponding to the above abnormal event type is calculated based on the above surface displacement and the above tilt data, including:

[0033] Calculate the average of the above tilt data;

[0034] According to the tilt data and the average value, the kurtosis, dispersion coefficient, waveform factor and pulse factor corresponding to the tilt data are calculated respectively;

[0035] The above extreme degree values ​​are calculated based on the above surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor;

[0036] The kurtosis is calculated based on the following formula and the above tilt data:

[0037]

[0038] The above coefficient of variation is calculated based on the following formula, the above tilt data and the average value:

[0039]

[0040] The above-mentioned form factor is calculated based on the following formula, the above-mentioned tilt data and the average value:

[0041]

[0042] The pulse factor is calculated using the following formula, the tilt data, and the average value:

[0043]

[0044] The above extreme degree values ​​are calculated based on the following formula, the above surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor:

[0045]

[0046] Where C k represents the kurtosis, x i represents the i-th tilted data in the tilted data, n represents the number of tilted data, σ represents the standard deviation, x mean represents the average value, C d represents the coefficient of dispersion, C s represents the form factor, xmax Indicates the maximum tilt data within the tilt data, C if represents the pulse factor, S gnss represents the surface displacement, P represents the instability coefficient of the geological conditions of the base of the tower to be evaluated, λ represents the life coefficient, γ represents the transmission tower model coefficient, β represents the transmission tower height coefficient, α represents another transmission tower model coefficient, Indicates extreme values.

[0047] Furthermore, after determining the abnormal event type and extreme degree value as the abnormal state assessment result of the transmission tower to be assessed, the method further includes:

[0048] The above abnormal state assessment results are sent to the user terminal for early warning.

[0049] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0050] The present invention provides a transmission tower abnormal state assessment system, comprising:

[0051] GNSS monitoring stations, tower condition monitors, and edge gateways;

[0052] The GNSS monitoring station is communicatively connected to the edge gateway, and the tower status monitor is communicatively connected to the edge gateway;

[0053] The GNSS monitoring station is used to obtain the surface displacement of the location of the transmission tower to be evaluated, and send the surface displacement to the edge gateway;

[0054] The tower condition monitor is used to obtain tilt data of the transmission tower to be evaluated and transmit the tilt data to the edge gateway; wherein the tilt data includes: tilt angle and tilt acceleration, and the tilt angle and tilt acceleration have a one-to-one correspondence;

[0055] The edge gateway is configured to compare the tilt data with the first preset threshold, and to compare the ground displacement with the second preset threshold; and to send a status assessment instruction to the tower status monitor if it is determined that the tilt data exceeds the first preset threshold or the ground displacement exceeds the second preset threshold;

[0056] The tower condition monitor is further configured to, after receiving the condition assessment instruction, determine whether the tilt data exceeds a first preset threshold, or whether the ground displacement exceeds a second preset threshold, and then analyze the tilt angle and tilt acceleration to extract abnormal tilt data; perform fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, match the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in the abnormal event feature library, and use the abnormal event type corresponding to the preset frequency interval identical to the abnormal frequency interval as the abnormal event type for the transmission tower to be assessed; calculate the extreme degree value corresponding to the abnormal event type based on the ground displacement and the tilt data; and determine the abnormal event type and the extreme degree value as the abnormal condition assessment result of the transmission tower to be assessed.

[0057] Furthermore, the tower state monitor is also used to:

[0058] Obtaining tilt angle change data of the transmission tower to be evaluated over a period of time;

[0059] Calculate the tilt angle change of the transmission tower to be evaluated within the time period based on the tilt angle change data.

[0060] The tilt angle change is compared with a preset tilt angle change threshold, and when the tilt angle change is greater than the preset tilt angle change threshold, the tilt data of the transmission tower to be evaluated is obtained.

[0061] The embodiments of the present invention have the following beneficial effects:

[0062] The present invention provides a method and system for evaluating the abnormal state of a transmission tower. The method first obtains the tilt data of the transmission tower to be evaluated, and transmits the tilt data to the edge gateway; wherein the tilt data includes: tilt angle and tilt acceleration, and the tilt angle and tilt acceleration correspond one to one; then, when the tilt data exceeds a first preset threshold, or the surface displacement exceeds a second preset threshold, the tilt angle and tilt acceleration are analyzed to extract abnormal tilt data; wherein the GNSS monitoring station obtains the surface displacement of the location of the transmission tower to be evaluated, and sends the surface displacement to the edge gateway, so that the edge gateway compares the tilt data with the first preset threshold. The abnormal tilt data is then fast Fourier transformed to obtain an abnormal frequency interval, and the abnormal frequency interval is matched with the preset frequency intervals of each type of abnormal event in the abnormal event feature library. The abnormal event type corresponding to the preset frequency interval that is the same as the abnormal frequency interval is used as the abnormal event type of the transmission tower to be evaluated. Subsequently, the extreme degree value corresponding to the abnormal event type is calculated based on the surface displacement and the tilt data. Finally, the abnormal event type and extreme degree value are determined as the abnormal state evaluation result of the transmission tower to be evaluated. Therefore, the present invention combines the tilt data of the transmission tower itself and the surface displacement at the location of the transmission tower to determine the abnormal event type and the extreme degree value corresponding to the abnormal event. Therefore, in the entire abnormal evaluation process, not only the data of the transmission tower itself is used, but also the surface displacement related to the geological conditions around the tower is combined, thereby making the state evaluation result more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 The present invention provides a flow chart of a method for evaluating abnormal conditions of a transmission tower according to an embodiment of the present invention.

[0064] Figure 2 4 is a circuit diagram of a dual-limit comparison circuit provided in one embodiment of the present invention.

[0065] Figure 3 This is a circuit diagram of a sensing acquisition module circuit provided in one embodiment of the present invention.

[0066] Figure 4 The figure is a schematic structural diagram of a transmission tower abnormal state assessment system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0067] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0068] like Figure 1 As shown, an embodiment of the present invention provides a method for evaluating abnormal conditions of a transmission tower, comprising:

[0069] Step S101: Obtaining tilt data of a transmission tower to be evaluated, and transmitting the tilt data to an edge gateway; wherein the tilt data includes a tilt angle and a tilt acceleration, and the tilt angle and the tilt acceleration correspond one to one;

[0070] Specifically, the tilt data is the tilt data of the transmission tower itself. A tilt acceleration sensor is provided in a tower condition monitor installed on the transmission tower, so the tilt data is specifically acquired by the tilt acceleration sensor.

[0071] Preferably, the first preset threshold corresponding to the tilt angle is set to 5°, and the first preset threshold corresponding to the tilt acceleration is determined according to actual conditions.

[0072] In a preferred embodiment, before obtaining the tilt data of the transmission tower to be evaluated, the method further includes:

[0073] Obtaining tilt angle change data of the transmission tower to be evaluated over a period of time;

[0074] Calculate the tilt angle change of the transmission tower to be evaluated within the time period based on the tilt angle change data.

[0075] The tilt angle change is compared with a preset tilt angle change threshold, and when the tilt angle change is greater than the preset tilt angle change threshold, the tilt data of the transmission tower to be evaluated is obtained.

[0076] Specifically, a dual-limit comparison circuit is provided inside the tower state monitor. The circuit diagram of the dual-limit comparison circuit is as follows: Figure 2 As shown, Figure 2The dual-limit comparator in the dual-limit comparison circuit is composed of two blocks, U6 and U7. The tilt angle change data is obtained by the tilt acceleration and then transmitted to the dual-limit comparison circuit connected to the tilt acceleration. After the tilt angle change amount is calculated in the dual-limit comparison circuit, a comparison operation is performed between the tilt angle change amount and the preset tilt angle change threshold. If the tilt angle change amount is greater than the preset tilt angle change threshold, the dual-limit comparison circuit provides a trigger signal, which is transmitted to the main control module through the analog-to-digital conversion module to start the main control module. The analog-to-digital conversion module is provided with a sensor acquisition module circuit. Schematically, the circuit diagram of the sensor acquisition module circuit is shown as follows: Figure 3 shown.

[0077] Specifically, the analog-to-digital conversion module uses a DAC8552 dual-channel 16-bit digital-to-analog converter for digital-to-analog conversion.

[0078] In this preferred embodiment, after comparing the magnitude relationship between the tilt angle change and the preset tilt angle change threshold, if the tilt angle change is greater than the preset tilt angle change threshold, the tilt data of the transmission tower to be evaluated is obtained.

[0079] Step S102: When the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, the tilt angle and the tilt acceleration are analyzed to extract abnormal tilt data; wherein the GNSS monitoring station obtains the ground displacement at the location of the transmission tower to be evaluated, and sends the ground displacement to the edge gateway, so that the edge gateway compares the tilt data with the first preset threshold, and compares the ground displacement with the second preset threshold.

[0080] Specifically, when the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, it indicates that an abnormality has occurred in the current transmission tower.

[0081] Specifically, the surface displacement is acquired by a GNSS monitoring station, and the second preset threshold corresponding to the surface displacement is set to 100 mm.

[0082] In a preferred embodiment, when the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, analyzing the tilt angle and tilt acceleration to extract abnormal tilt data includes:

[0083] In the case of sufficient current computing power, the tilt angle and the tilt acceleration are divided according to a preset window size to obtain a first angle data set corresponding to the tilt angle and a first acceleration data set corresponding to the tilt acceleration;

[0084] Performing binary clustering on the first angle data set and the first acceleration data set respectively to obtain an angle clustering result corresponding to the tilt angle and an acceleration clustering result corresponding to the tilt acceleration;

[0085] The abnormal tilt data is determined based on the angle clustering result and the acceleration clustering result.

[0086] Specifically, a corresponding chip is provided in the main control module. When the chip used is a high-performance chip (such as the STM32F series), the computing power is sufficient. When the chip used is a low-performance chip (such as the STML series), the computing power is insufficient.

[0087] Preferably, the initial number of cluster centers is set to 2, and binary clustering is performed on each angle and acceleration in the first angle data set and the first acceleration data set. For the i-th angle or i-th acceleration, its correlation with the cluster center c is calculated. i Distance D i , then re-cluster and calculate the new cluster mean c j Repeat the above operation until the distance from the cluster center converges to the minimum value or no longer changes significantly, and obtain the angle clustering results and acceleration clustering results. The distance between each angle or each acceleration and the cluster center is calculated according to the following formula:

[0088] D i =‖d i -c i ‖

[0089] Where, d i represents the i-th tilt angle or i-th tilt acceleration.

[0090] The cluster mean is calculated according to the following formula:

[0091]

[0092] Where n j Indicates the number of tilt angles or tilt accelerations used to calculate the cluster mean for the jth time.

[0093] In this preferred embodiment, when the current computing power is sufficient, binary clustering is performed on the first angle data set and the first acceleration data set, and abnormal tilt data is determined based on the clustering results.

[0094] In another preferred embodiment, the determining of the abnormal tilt data based on the angle clustering result and the acceleration clustering result includes:

[0095] If only two angle clusters appear in the above angle clustering results, all angles in the angle cluster with fewer angles in the two angle clusters of the above angle clustering results are taken as the abnormal angle set, and all tilt angles in the data interval of the abnormal angle set are taken as the above abnormal tilt data;

[0096] If only two acceleration clusters appear in the acceleration clustering result, all acceleration values ​​in the acceleration cluster with fewer accelerations in the two acceleration clusters are taken as the abnormal acceleration set, and all tilt accelerations within the data interval of the abnormal acceleration set are taken as the abnormal tilt data.

[0097] If two angle clusters and two acceleration clusters appear in the above angle clustering results and the above acceleration clustering results respectively, then all angles in the angle cluster with fewer angles in the above angle clustering results are determined as the abnormal angle set, and all acceleration values ​​in the acceleration cluster with fewer accelerations in the above acceleration clustering results are determined as the abnormal acceleration set, and all tilt angles and tilt accelerations within the data intervals of the above abnormal angle set and the above abnormal acceleration set are used as the above abnormal tilt data.

[0098] Specifically, since it has been determined that the current transmission tower has an abnormality, two clusters must appear in at least one of the angle clustering results and the acceleration clustering results, ie, an abnormal angle set or an abnormal acceleration set.

[0099] In this preferred embodiment, abnormal tilt data is determined based on the angle clustering results and the acceleration clustering results.

[0100] In another preferred embodiment, when the tilt data exceeds a first preset threshold, or the ground displacement exceeds a second preset threshold, analyzing the tilt angle and tilt acceleration to extract abnormal tilt data further includes:

[0101] In the case of insufficient computing power, a preset number of second angle data sets and second acceleration data sets are extracted in equal proportion within the preset intervals before and after the tilt angle and the tilt acceleration, respectively;

[0102] Calculating the standard deviation of the second angle data set and the second acceleration data set respectively to obtain the angle standard deviation and the acceleration standard deviation;

[0103] Comparing the angle standard deviation with a preset angle standard deviation, and comparing the acceleration standard deviation with a preset acceleration standard deviation;

[0104] According to the comparison results, the above abnormal tilt data is determined.

[0105] Preferably, 800-1200 tilt angles and tilt accelerations are proportionally taken within the range of 1-2 times before and after the tilt angle and tilt acceleration, respectively.

[0106] Specifically, by calculating the standard deviation, the difference between the current tilt angle and the tilt acceleration can be obtained. The standard deviation is calculated according to the following formula:

[0107]

[0108] In this preferred embodiment, when computing power is insufficient, the angle standard deviation and the acceleration standard deviation are calculated, and abnormal tilt data is determined by comparing the results.

[0109] In another preferred embodiment, the above-mentioned determination of the abnormal tilt data based on the comparison result includes:

[0110] In a case where only the angle standard deviation is greater than the preset angle standard deviation, all tilt angles within the data interval of the second angle data set are regarded as the abnormal tilt data;

[0111] In a case where only the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt accelerations within the data interval of the second acceleration data set are regarded as the abnormal tilt data;

[0112] When the angle standard deviation is greater than the preset angle standard deviation and the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt angles and tilt accelerations within the data interval of the second angle data set and the second acceleration data set are regarded as the abnormal tilt data.

[0113] Specifically, since it has been determined that the current transmission tower has an abnormality, there must be at least one standard deviation in the comparison result that exceeds the preset standard deviation, that is, there is an abnormal angle set or an abnormal acceleration set.

[0114] In this preferred embodiment, abnormal tilt data is determined based on the comparison results.

[0115] Step S103: performing a fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, matching the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in the abnormal event feature library, and taking the abnormal event type corresponding to the preset frequency interval that is the same as the abnormal frequency interval as the abnormal event type of the transmission tower being evaluated;

[0116] Specifically, after performing fast Fourier transform, an abnormal frequency curve can be obtained, and the frequency interval corresponding to the main peak in the abnormal frequency curve is used as the abnormal frequency interval.

[0117] Specifically, the abnormal event feature library contains frequency intervals corresponding to abnormal events. By matching the obtained abnormal frequency intervals with the frequency intervals in the feature library, the type of abnormal event that occurred on the transmission tower can be determined.

[0118] Step S104: Calculating the extreme degree value corresponding to the abnormal event type based on the surface displacement and the tilt data;

[0119] In a preferred embodiment, the extreme degree value corresponding to the abnormal event type is calculated based on the surface displacement and the tilt data, including:

[0120] Calculate the average of the above tilt data;

[0121] According to the tilt data and the average value, the kurtosis, dispersion coefficient, waveform factor and pulse factor corresponding to the tilt data are calculated respectively;

[0122] The above extreme degree values ​​are calculated based on the above surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor;

[0123] The kurtosis is calculated based on the following formula and the above tilt data:

[0124]

[0125] The above coefficient of variation is calculated based on the following formula, the above tilt data and the average value:

[0126]

[0127] The above-mentioned form factor is calculated based on the following formula, the above-mentioned tilt data and the average value:

[0128]

[0129] The pulse factor is calculated using the following formula, the tilt data, and the average value:

[0130]

[0131] The above extreme degree values ​​are calculated based on the following formula, the above surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor:

[0132]

[0133] Where C k represents the kurtosis, x i represents the i-th tilted data in the tilted data, n represents the number of tilted data, σ represents the standard deviation, x mean represents the average value, C d represents the coefficient of dispersion, C s represents the form factor, x max Indicates the maximum tilt data within the tilt data, C if represents the pulse factor, S gnss represents the surface displacement, P represents the instability coefficient of the geological conditions of the base of the tower to be evaluated, λ represents the life coefficient, γ represents the transmission tower model coefficient, β represents the transmission tower height coefficient, α represents another transmission tower model coefficient, Indicates extreme values.

[0134] Specifically, the kurtosis indicates the degree of flatness. When the kurtosis is less than 3, it indicates that the degree of flatness is flat; when the kurtosis is between 3 and 5, it indicates that the degree of flatness is steep; and when the kurtosis is greater than 5, it indicates that the degree of flatness is extremely steep.

[0135] Specifically, the waveform factor is the ratio of the root mean square of the tilt data to the average value, and is used to indicate the degree of fluctuation of the tilt data.

[0136] Specifically, the impulse factor is used to indicate the extreme degree of the peak value of the tilt data.

[0137] Specifically, the greater the extreme degree value is, the more extreme the abnormal event of the current transmission tower is, and the higher the danger level is.

[0138] In this preferred embodiment, by performing multi-parameter calculations on the tilted data, the extreme degree value corresponding to the abnormal event type is finally obtained.

[0139] Step S105: determining the abnormal event type and extreme degree value as the abnormal state assessment result of the transmission tower to be assessed.

[0140] In a preferred embodiment, after determining the abnormal event type and extreme degree value as the abnormal state assessment result of the transmission tower to be assessed, the method further includes:

[0141] The above abnormal state assessment results are sent to the user terminal for early warning.

[0142] Specifically, after obtaining the abnormal status assessment results, they are sent to relevant staff for early warning.

[0143] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0144] like Figure 4 As shown, an embodiment of the present invention provides a transmission tower abnormal state assessment system, comprising:

[0145] GNSS monitoring stations, tower condition monitors, and edge gateways;

[0146] The GNSS monitoring station is communicatively connected to the edge gateway, and the tower status monitor is communicatively connected to the edge gateway;

[0147] The GNSS monitoring station is used to obtain the surface displacement of the location of the transmission tower to be evaluated, and send the surface displacement to the edge gateway;

[0148] The tower condition monitor is used to obtain tilt data of the transmission tower to be evaluated and transmit the tilt data to the edge gateway; wherein the tilt data includes: tilt angle and tilt acceleration, and the tilt angle and tilt acceleration have a one-to-one correspondence;

[0149] The edge gateway is configured to compare the tilt data with the first preset threshold, and to compare the ground displacement with the second preset threshold; and to send a status assessment instruction to the tower status monitor if it is determined that the tilt data exceeds the first preset threshold or the ground displacement exceeds the second preset threshold;

[0150] The tower condition monitor is further configured to, after receiving the condition assessment instruction, determine whether the tilt data exceeds a first preset threshold, or whether the ground displacement exceeds a second preset threshold, and then analyze the tilt angle and tilt acceleration to extract abnormal tilt data; perform fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, match the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in the abnormal event feature library, and use the abnormal event type corresponding to the preset frequency interval identical to the abnormal frequency interval as the abnormal event type for the transmission tower to be assessed; calculate the extreme degree value corresponding to the abnormal event type based on the ground displacement and the tilt data; and determine the abnormal event type and the extreme degree value as the abnormal condition assessment result of the transmission tower to be assessed.

[0151] Schematically, the tower condition monitor is equipped with an inclination acceleration sensor, a dual-limit comparison circuit, an analog-to-digital conversion module, a main control module, and a power supply. The power supply is used to power the entire tower condition monitor.

[0152] In a preferred embodiment, the tower state monitor is further used to:

[0153] Obtaining tilt angle change data of the transmission tower to be evaluated over a period of time;

[0154] Calculate the tilt angle change of the transmission tower to be evaluated within the time period based on the tilt angle change data.

[0155] The tilt angle change is compared with a preset tilt angle change threshold, and when the tilt angle change is greater than the preset tilt angle change threshold, the tilt data of the transmission tower to be evaluated is obtained.

[0156] It should be noted that the device embodiments described above are merely illustrative, wherein the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Furthermore, in the drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which may be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement the present invention without inventive effort. The above schematic diagram is merely an example of a transmission tower abnormal state assessment system and does not constitute a limitation on a transmission tower abnormal state assessment system. The present invention may include more or fewer components than shown, or a combination of certain components, or different components.

[0157] Compared with the prior art, by implementing the above-mentioned embodiments of the present invention, abnormal state assessment can be performed in combination with the surface displacement of the geological conditions around the tower, thereby reducing the error in abnormal state assessment of the transmission tower.

[0158] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for evaluating abnormal state of a transmission tower, characterized in that: include: Obtaining tilt data of the transmission tower to be evaluated, and transmitting the tilt data to an edge gateway; wherein the tilt data includes: a tilt angle and a tilt acceleration, and the tilt angle and the tilt acceleration correspond one to one; When the tilt data exceeds a first preset threshold, or the surface displacement exceeds a second preset threshold, the tilt angle and the tilt acceleration are analyzed to extract abnormal tilt data; wherein the GNSS monitoring station obtains the surface displacement at the location of the transmission tower to be evaluated, and sends the surface displacement to the edge gateway, so that the edge gateway compares the tilt data with the first preset threshold, and compares the surface displacement with the second preset threshold; Performing a fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, matching the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in the abnormal event feature library, and taking the abnormal event type corresponding to the preset frequency interval that is the same as the abnormal frequency interval as the abnormal event type of the evaluated transmission tower; Calculating the extreme degree value corresponding to the abnormal event type according to the surface displacement and the tilt data; The abnormal event type and the extreme degree value are determined as the abnormal state assessment result of the transmission tower to be assessed.

2. A method for evaluating abnormal state of a transmission tower according to claim 1, characterized in that: Before obtaining the tilt data of the transmission tower to be evaluated, it also includes: Obtaining the tilt angle change data of the transmission tower to be evaluated over a period of time; According to the tilt angle change data, the tilt angle change amount of the transmission tower to be evaluated within the period of time is calculated; The tilt angle variation is compared with a preset tilt angle variation threshold, and when the tilt angle variation is greater than the preset tilt angle variation threshold, the tilt data of the transmission tower to be evaluated is obtained.

3. A method for evaluating abnormal state of a transmission tower according to claim 2, characterized in that: When the tilt data exceeds a first preset threshold value, or the surface displacement exceeds a second preset threshold value, analyzing the tilt angle and the tilt acceleration to extract abnormal tilt data includes: In the case where the current computing power is sufficient, the tilt angle and the tilt acceleration are divided according to a preset window size to obtain a first angle data set corresponding to the tilt angle and a first acceleration data set corresponding to the tilt acceleration; Performing binary clustering on the first angle data set and the first acceleration data set respectively to obtain an angle clustering result corresponding to the tilt angle and an acceleration clustering result corresponding to the tilt acceleration; The abnormal tilt data is determined according to the angle clustering result and the acceleration clustering result.

4. A method for evaluating abnormal state of a transmission tower according to claim 3, characterized in that: The determining the abnormal tilt data according to the angle clustering result and the acceleration clustering result includes: If only two angle clusters appear in the angle clustering result, all angles in the angle cluster with fewer angles in the two angle clusters of the angle clustering result are taken as an abnormal angle set, and all tilt angles in the data interval of the abnormal angle set are taken as the abnormal tilt data; If only two acceleration clusters appear in the acceleration clustering result, all acceleration values ​​in the acceleration cluster with fewer accelerations in the two acceleration clusters of the acceleration clustering result are taken as the abnormal acceleration set, and all tilt accelerations in the data interval of the abnormal acceleration set are taken as the abnormal tilt data. If two angle clusters and two acceleration clusters appear in the angle clustering results and the acceleration clustering results respectively, all angles in the angle cluster with a smaller number of angles in the angle clustering results are determined as an abnormal angle set, all acceleration values ​​in the acceleration cluster with a smaller number of accelerations in the acceleration clustering results are determined as an abnormal acceleration set, and all inclination angles and inclination accelerations within the data intervals of the abnormal angle set and the abnormal acceleration set are taken as the abnormal inclination data.

5. A method for evaluating abnormal state of a transmission tower according to claim 4, characterized in that: When the tilt data exceeds a first preset threshold value, or the surface displacement exceeds a second preset threshold value, analyzing the tilt angle and the tilt acceleration to extract abnormal tilt data, further comprising: In the case where the current computing power is insufficient, extracting a preset number of second angle data sets and second acceleration data sets in equal proportion within the preset intervals before and after the tilt angle and the tilt acceleration respectively; Calculating the standard deviation of the second angle data set and the second acceleration data set respectively to obtain an angle standard deviation and an acceleration standard deviation; Comparing the angle standard deviation with a preset angle standard deviation, and comparing the acceleration standard deviation with a preset acceleration standard deviation; According to the comparison result, the abnormal tilt data is determined.

6. A method for evaluating abnormal state of a transmission tower according to claim 5, characterized in that: Determining the abnormal tilt data according to the comparison result includes: In a case where only the angle standard deviation is greater than the preset angle standard deviation, all tilt angles within the data interval of the second angle data set are taken as the abnormal tilt data; In a case where only the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt accelerations within a data interval of the second acceleration data set are used as the abnormal tilt data; When the angle standard deviation is greater than the preset angle standard deviation and the acceleration standard deviation is greater than the preset acceleration standard deviation, all tilt angles and tilt accelerations within the data interval of the second angle data set and the second acceleration data set are taken as the abnormal tilt data.

7. A method for evaluating abnormal state of a transmission tower according to claim 6, characterized in that: The calculating, according to the surface displacement and the tilt data, of the extreme degree value corresponding to the abnormal event type comprises: Calculating an average value of the tilt data; According to the tilt data and the average value, respectively calculate the kurtosis, dispersion coefficient, waveform factor and pulse factor corresponding to the tilt data; The extreme degree value is calculated according to the surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor; The kurtosis is calculated according to the following formula and the tilt data: The dispersion coefficient is calculated according to the following formula, the tilt data and the average value: The form factor is calculated according to the following formula, the tilt data and the average value: The pulse factor is calculated according to the following formula, the tilt data and the average value; The extreme degree value is calculated according to the following formula, the surface displacement, kurtosis, dispersion coefficient, waveform factor and pulse factor: In the formula, C k represents the kurtosis, x i represents the i-th tilted data in the tilted data, n represents the number of tilted data, σ represents the standard deviation, x mean represents the average value, C d represents the coefficient of dispersion, C s represents the waveform factor, x max Indicates the maximum tilt data within the tilt data, C if represents the pulse factor, S gnss represents the surface displacement, P represents the instability coefficient of the geological conditions of the base of the tower to be evaluated, λ represents the life coefficient, γ represents the transmission tower model coefficient, β represents the transmission tower height coefficient, α represents another transmission tower model coefficient, Indicates extreme values.

8. A method for evaluating abnormal state of a transmission tower according to claim 7, characterized in that: After determining the abnormal event type and the extreme degree value as the abnormal state evaluation result of the transmission tower to be evaluated, the method further includes: The abnormal state assessment result is sent to the user terminal for early warning.

9. A transmission tower abnormal state assessment system, characterized in that: include: GNSS monitoring stations, tower condition monitors, and edge gateways; The GNSS monitoring station is communicatively connected to the edge gateway, and the tower state monitor is communicatively connected to the edge gateway; The GNSS monitoring station is used to obtain the surface displacement of the location of the transmission tower to be evaluated, and send the surface displacement to the edge gateway; The tower state monitor is used to obtain the tilt data of the transmission tower to be evaluated, and transmit the tilt data to the edge gateway; wherein the tilt data includes: a tilt angle and a tilt acceleration, and the tilt angle corresponds to the tilt acceleration one by one; The edge gateway is used to compare the tilt data with the first preset threshold value, and compare the surface displacement with the second preset threshold value; when it is determined that the tilt data exceeds the first preset threshold value, or the surface displacement exceeds the second preset threshold value, send a status assessment instruction to the tower status monitor; The tower state monitor is also used to, after receiving the state evaluation instruction, determine whether the tilt data exceeds a first preset threshold value, or whether the surface displacement exceeds a second preset threshold value, and then analyze the tilt angle and tilt acceleration to extract abnormal tilt data; perform fast Fourier transform on the abnormal tilt data to obtain an abnormal frequency interval, match the abnormal frequency interval with the preset frequency intervals of various types of abnormal events in an abnormal event feature library, and use the abnormal event type corresponding to the preset frequency interval that is the same as the abnormal frequency interval as the abnormal event type of the evaluated transmission tower; calculate the extreme degree value corresponding to the abnormal event type based on the surface displacement and the tilt data; and determine the abnormal event type and the extreme degree value as the abnormal state evaluation result of the transmission tower to be evaluated.

10. A transmission tower abnormal state assessment system according to claim 9, characterized in that: The tower state monitor is also used for: Obtaining the tilt angle change data of the transmission tower to be evaluated over a period of time; According to the tilt angle change data, the tilt angle change amount of the transmission tower to be evaluated within the period of time is calculated; The tilt angle variation is compared with a preset tilt angle variation threshold, and when the tilt angle variation is greater than the preset tilt angle variation threshold, the tilt data of the transmission tower to be evaluated is obtained.

Images