Intelligent line tower grounding resistance detection system based on TMR sensor technology

Abstract

The invention discloses a line tower grounding resistance intelligent detection system based on a TMR sensor technology, relates to the technical field of resistance detection, and solves the problem that a resistance signal is easily interfered by other signals or is influenced by temperature. According to the invention, superposition verification is carried out on waveforms of a resistance signal and an interference signal through a signal feature verification end, matching analysis of an extreme value segment and a virtual waveform is combined, an abnormal wave band and an interference source are accurately locked, and a reliable basis is provided for subsequent filtering; based on the peak point spacing (wavelength) and the transmission rate of the interference waveform, the interference frequency is calculated and a frequency interval is generated, so that an operator is supported to pertinently set filtering parameters, and specific frequency interference is effectively filtered out; by comparing the change characteristic ratio of the amplitude sequence to the temperature sequence, the response rule of the resistance value of the resistor changing along with the temperature is monitored in real time; and when the characteristic ratio does not decrease progressively according to the expected trend, a temperature change abnormal signal is triggered quickly.

Description

Technical Field

[0001] The present invention relates to the technical field of resistance detection, and specifically to an intelligent detection system for the grounding resistance of line towers based on TMR sensor technology. Background Art

[0002] The grounding resistance of transmission line towers is a core parameter to ensure the safe operation of the power system, and its resistance value directly affects lightning protection performance, equipment insulation and personnel safety; traditional grounding resistance detection mainly relies on manual use of clamp meters or the three-electrode method;

[0003] Complex electromagnetic environments such as power frequency interference (50Hz) and high-frequency pulses are likely to cause signal distortion, and traditional filtering methods (such as fixed LC filtering) are difficult to dynamically suppress broadband interference;

[0004] The application with the patent publication number CN117890678A discloses a distributed grounding resistance detection system, belonging to the field of power technology. In this invention, grounding resistance testers at each test point are set through a distributed and multi-layer architecture mode, and the collected grounding resistance data is transmitted to a data storage server through a GPRS sending module. Historical changes can be presented in curves on a display terminal and a user's handheld terminal to achieve active data monitoring. The adopted explosion-proof grounding resistance detector can remain stable for a long time and is not affected by the surrounding environment; moreover, it is provided with an explosion-proof cover and a pressure-sensing element to extend its service life; the intelligent detector can effectively monitor the grounding resistance value of the grounding grid, and the monitor reports the obtained grounding resistance information to the data storage server, and then sends it to the display terminal and the user's handheld terminal. Users can monitor the grounding grid resistance status on the display terminal, and users can also query lightning protection-related information through clients such as mobile phones;

[0005] During the intelligent detection process of its line tower grounding resistance, generally based on the signal characteristics corresponding to the resistance value, the change state of the corresponding resistance is confirmed. However, during the actual detection process, its resistance signal is easily affected by other signals or temperature. When affected by signal interference, it is very easy to cause a large error in the corresponding resistance signal, resulting in a large problem in the actual detection accuracy. Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides an intelligent detection system for the grounding resistance of line towers based on TMR sensor technology, which solves the problem that the resistance signal is easily affected by other signals or temperature.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: An intelligent detection system for the grounding resistance of line towers based on TMR sensor technology, including:

[0008] The signal monitoring and acquisition end monitors the resistance signal of the grounding resistance of the line tower based on the TMR sensor, and simultaneously receives the surrounding interference signals based on other signal receivers;

[0009] The signal feature verification end, based on the signal waveforms of the resistance signal and the interference signal, performs feature verification on the signal waveforms of several groups of interference signals and the signal waveform of the resistance signal. Based on the verification results, the interference waveform is locked. The specific method is as follows:

[0010] Record the signal waveform of the resistance signal as the standard waveform, and confirm the abnormal wave bands existing in the standard waveform;

[0011] Coincide the starting point of the signal waveform of the interference signal with the standard waveform. After completion of the coincidence, confirm the coincidence points existing between this signal waveform and the standard waveform, and identify whether the coincidence points are located within the abnormal wave bands marked by the standard waveform. The specific method is as follows: Calibrate the extreme value points appearing in the standard waveform. The extreme value points include valley value points and peak value points. The valley value point is the point with the minimum waveform amplitude, and the peak value point is the point with the maximum waveform amplitude. The valley value point is the point with the minimum waveform amplitude. In the standard waveform, there are multiple groups of the point with the maximum waveform amplitude and the point with the minimum waveform amplitude. Record the waveform segment between adjacent extreme value points as the extreme value segment. If the initial value of the extreme value segment is the peak value point, generate a virtual waveform from the peak value point to the end point of the extreme value segment. The trend of this virtual waveform is in a downward state. If the initial value of the extreme value segment is the valley value point, generate a virtual waveform from the valley value point to the peak value point of the extreme value segment. The trend of this virtual waveform is in an upward state; Perform coincidence verification on the corresponding extreme value segment and the virtual waveform, and calibrate the non-coincident partial waveform segments as abnormal wave bands;

[0012] If all the coincidence points are located within the abnormal wave bands, mark this signal waveform as an interference waveform;

[0013] If all the coincidence points are not all located within the abnormal wave bands, horizontally move the signal waveform of this interference signal. The moving range is: waveform starting point - the second zero value point. The second zero value point is the second point with an amplitude of 0 confirmed from the waveform starting point in the signal waveform. Within the determined moving range, identify whether there is a situation where all the coincidence points of this signal waveform are located within the abnormal wave bands. If so, mark this signal waveform as an interference waveform; otherwise, do not perform any calibration;

[0014] For the signal waveforms of each group of interference signals, use the above-mentioned coincidence confirmation method to calibrate the interference waveforms, and transmit the sequentially calibrated interference waveforms into the filter frequency determination end;

[0015] Filtering frequency determination terminal, which determines the frequency of the confirmed interference waveform, records the confirmed frequency value as the interference frequency, and synchronously displays it through the display terminal. The specific method is as follows:

[0016] According to the calibrated interference waveform, confirm several peak points existing in the interference waveform, and confirm the vertical distance between adjacent peak points, denoted as the associated wavelength B k , and then confirm the transmission rate V of the waveform corresponding to adjacent peak points k , where k represents different adjacent peak points, and among them: T k =V k ÷B k Confirm the frequency T associated with adjacent peak points of the corresponding interference waveform k , if the frequencies confirmed between subsequent adjacent peak points of this interference waveform are all the same value, then record the confirmed frequency T k as the interference frequency;

[0017] If the frequencies confirmed between subsequent adjacent peak points of the interference waveform are not the same value, then confirm the maximum value and the minimum value of the confirmed frequencies, lock a group of frequency intervals, and record all the frequencies associated within this frequency interval as the interference frequency.

[0018] Preferably, it further includes:

[0019] Waveform amplitude analysis terminal, which conducts periodic monitoring on the resistance signal after filtering processing, and conducts amplitude re-analysis on the monitored resistance signal, and generates an amplitude sequence for several groups of analyzed amplitudes according to the time sequence. The specific method is as follows:

[0020] Define a group of monitoring periods, and the monitoring period is a preset period. Confirm the amplitudes of several groups of resistance signals generated within the monitoring period, confirm the peak points and valley points associated with the corresponding resistance signals, and record the adjacent peak points and valley points as adjacent points. Confirm the vertical distance between adjacent points, lock the associated amplitude from the confirmed vertical distances, and perform mean processing on several groups of locked associated amplitudes of this resistance signal to confirm the characteristic amplitude belonging to the corresponding resistance signal;

[0021] According to the time sequence relationship of different resistance signals, sort the several groups of confirmed characteristic amplitudes, confirm the amplitude sequence, and transmit the confirmed amplitude sequence into the temperature change signal confirmation terminal;

[0022] Temperature change signal confirmation terminal, based on the real-time temperature monitored by the temperature sensor, confirm the resistance temperature associated with the resistance signal corresponding to the amplitude sequence, and confirm the temperature change abnormal signal based on the change characteristics of the resistance temperature and the amplitude change characteristics of the amplitude sequence. The specific method is as follows:

[0023] Based on the resistor temperature monitored in real time by the temperature sensor, the moment of the resistor signal associated with the corresponding amplitude in the amplitude sequence is recorded as the characteristic moment, and the resistor temperature associated with the characteristic moment is recorded as the characteristic temperature. According to the time sequence corresponding to different characteristic temperatures, a set of characteristic temperature sequences is generated, and the characteristic temperature sequence and the parameters at the same sorting position in the amplitude sequence are all in one-to-one correspondence in terms of time relationship;

[0024] Confirm the change temperature characteristics of adjacent parameters in the characteristic temperature sequence, and its change characteristics = | previous set of characteristic temperatures - next set of characteristic temperatures |. Use the same processing method to confirm the change amplitude characteristics of adjacent parameters in the amplitude sequence, and confirm the characteristic ratio at the same sorting position, and its characteristic ratio = change amplitude characteristics ÷ change temperature characteristics;

[0025] The confirmed characteristic ratios are sorted in sequence to confirm the characteristic ratio sequence, and it is identified whether the values ​​from the front to the back in this characteristic ratio sequence gradually decrease. If so, no processing is required. If not, a temperature change abnormality signal is directly generated for display.

[0026] The present invention provides a line tower grounding resistance intelligent detection system based on TMR sensor technology. Compared with the prior art, it has the following beneficial effects:

[0027] The present invention performs coincidence check on the waveforms of the resistance signal and the interference signal through the signal feature check terminal, combines the matching analysis of the extreme value segment and the virtual waveform, accurately locks the abnormal band and the interference source, and provides a reliable basis for subsequent filtering;

[0028] Based on the peak point spacing (wavelength) and transmission rate of the interference waveform, the interference frequency is calculated and the frequency range is generated, which supports operators to set filtering parameters in a targeted manner, effectively filter out specific frequency interference, and improve the purity of the detection signal;

[0029] By comparing the characteristic ratio of the amplitude sequence and the temperature sequence, the response law of the resistor value with temperature change can be monitored in real time; when the characteristic ratio does not decrease according to the expected trend, the temperature change abnormal signal is quickly triggered to achieve early warning of resistor aging or failure and avoid misjudgment caused by temperature drift. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0031] Figure 2 This is a schematic diagram of interference waveform filtering processing according to the present invention. DETAILED DESCRIPTION

[0032] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0033] The first embodiment

[0034] Please refer to Figure 1 and Figure 2 , this application provides an intelligent detection system for the grounding resistance of line poles and towers based on TMR sensor technology, including a signal monitoring and acquisition end, a signal feature verification end, a filtering frequency determination end, a display end, a waveform amplitude analysis end, a temperature change signal confirmation end, and a display end;

[0035] Among them, the signal monitoring and acquisition end is electrically connected to the input nodes of the signal feature verification end or the waveform amplitude analysis end respectively, and its signal feature verification end, filtering frequency determination end, and display end are electrically connected in sequence from the output node to the input node, and the waveform amplitude analysis end, temperature change signal confirmation end, and display end are electrically connected in sequence from the output node to the input node;

[0036] Among them, the signal monitoring and acquisition end monitors the resistance signal of the grounding resistance of the line pole and tower based on the TMR sensor, and simultaneously receives the interference signals existing around based on other signal receivers, and synchronously transmits them into the signal feature verification end. Specifically, when the resistance signal is interfered, it is generally interfered by the interference signals existing around. Then, in order to specifically monitor the signal interference, the interference bands existing in the resistance signal are sequentially confirmed, and based on the specific confirmation results, the deformed bands are confirmed to lock the relevant interference signals with signal interference. The TMR sensor uses a tunneling magnetoresistive sensor, combined with double-layer shielding (inner permalloy + outer aluminum alloy) and differential signal processing, and the signal-to-noise ratio is increased to 80 dB; the magnetic ring opening design (gap ≤ 0.5 mm) directly clamps the grounding downlead to avoid the power attenuation problem of the traditional clamp meter method;

[0037] Among them, the signal feature verification end, based on the signal waveforms of the resistance signal and the interference signal, performs feature verification on the signal waveforms of several groups of interference signals and the signal waveform of the resistance signal, and based on the verification results, locks the interference waveforms. The specific method for locking is as follows:

[0038] The signal waveform of the resistance signal is denoted as the standard waveform, and the deformed wavebands existing in the standard waveform are confirmed: the extreme points appearing in the standard waveform are calibrated, and the extreme points include valley points and peak points. The valley point is the point with the minimum waveform amplitude, and the peak point is the point with the maximum waveform amplitude. The valley point is the point with the minimum waveform amplitude. There are multiple groups of the maximum waveform amplitude point and the minimum waveform amplitude point in the standard waveform. The waveform segment between adjacent extreme points is denoted as the extreme segment (including the relevant line segments between the corresponding peak point and valley point or valley point and peak point). If the initial value of the extreme segment is a peak point, a virtual waveform from the peak point to the end point of the extreme segment is generated. The trend of this virtual waveform is in a downward state (because the point position has been confirmed and the height difference is confirmed, so the corresponding curvature waveform segment can be directly generated. Such waveform segments are generated by the system itself, and their waveforms are all generated according to the corresponding functions, so the virtual waveform can be directly generated). If the initial value of the extreme segment is a valley point, a virtual waveform from the valley point to the peak point of the extreme segment is generated. The trend of this virtual waveform is in an upward state; the corresponding extreme segment and the virtual waveform are subjected to coincidence verification, and the uncoincident partial waveform segments are calibrated as deformed wavebands;

[0039] The starting point of the signal waveform of the interference signal is made to coincide with the standard waveform. After completion of the coincidence, the coincidence points existing between this signal waveform and the standard waveform are confirmed, and it is identified whether the coincidence points are located within the deformed wavebands calibrated in the standard waveform:

[0040] If all the coincidence points are located within the deformed wavebands, this signal waveform is calibrated as an interference waveform;

[0041] If all the coincidence points are not all located within the deformed wavebands, the signal waveform of this interference signal is horizontally moved. The moving range is: waveform starting point - the second zero value point. The second zero value point is the second point with an amplitude of 0 confirmed from the waveform starting point in the signal waveform. Within the determined moving range, it is identified whether there is a situation where all the coincidence points of this signal waveform are located within the deformed wavebands. If there is, this signal waveform is calibrated as an interference waveform; otherwise, no calibration is performed;

[0042] For the signal waveform of each group of interference signals, the above-mentioned coincidence confirmation method is used to calibrate the interference waveform, and the successively calibrated interference waveforms are transmitted into the filter frequency determination end;

[0043] Specifically, the waveform generated by the test signal belonging to this resistor is a standard waveform. When there is signal interference within the standard waveform, corresponding deformed bands will be generated. Under normal circumstances without interference, deformed bands will not be generated. Only when the frequency waveforms intersect will they be interfered. By performing relevant verification on the signal waveform of the interference signal, the corresponding signal waveform is horizontally shifted by one operating cycle (that is, the waveform associated with two adjacent zero-value points). During the corresponding operating cycle, the waveform is shifted, and it is identified whether the coincidence points generated by the corresponding waveform are all within the deformed band. Then, based on such determination, it is possible to effectively lock whether such a signal waveform is in an interference state, so as to specifically confirm the interference waveform;

[0044] Among them, for the filter frequency determination terminal, the frequency of the confirmed interference waveform is confirmed, and the confirmed frequency value is recorded as the interference frequency and synchronously displayed through the display terminal. The specific method for performing frequency confirmation is as follows:

[0045] According to the calibrated interference waveform, several peak points existing within the interference waveform are confirmed, and the vertical distance between adjacent peak points is recorded as the associated wavelength B k , and then the transmission rate V of the waveform corresponding to adjacent peak points is confirmed k , where k represents different adjacent peak points, and among them: T k = V k ÷ B k The frequency T associated with adjacent peak points of the corresponding interference waveform is confirmed k . If the frequencies confirmed between subsequent adjacent peak points of this interference waveform are all the same value, then the confirmed frequency T k is used as the interference frequency;

[0046] If they are not the same value, then the confirmed frequencies are confirmed for the maximum and minimum values, a frequency range is locked, and the frequencies associated within this frequency range are all recorded as the interference frequencies;

[0047] Specifically, the vertical distance between adjacent peak points within the interference waveform is the wavelength associated with the corresponding waveform. Based on the corresponding wavelength and wave velocity, the frequency associated with the corresponding waveform can be confirmed. If the frequency changes, then the corresponding wavelength will also change accordingly, thereby causing the corresponding frequency change. Then, based on the corresponding waveform characteristics, it is possible to effectively confirm the interference frequency from the frequencies associated with the corresponding waveform, and perform relevant display on the confirmed interference frequency. Relevant personnel perform frequency setting to filter out such interference frequencies, reduce the specific impact caused by the corresponding frequencies, and comprehensively improve the accuracy and anti-interference ability of the corresponding resistor signal during the detection process, making the corresponding detected resistor value more accurate and achieving a more precise processing effect.

[0048] Second Embodiment

[0049] In the specific implementation process of this embodiment, compared with the above-mentioned embodiment, this embodiment mainly performs amplitude re-analysis on the resistance signal after filtering processing, combines the temperature data and the change of the amplitude, detects the temperature change state of such resistors, and identifies whether the resistance can effectively follow the temperature change for relevant changes.

[0050] The waveform amplitude analysis terminal monitors the period of the resistance signal after filtering processing, performs amplitude re-analysis on the monitored resistance signal, generates an amplitude sequence according to the time sequence of several groups of analyzed amplitudes, and transmits it into the temperature change signal confirmation terminal. Specifically, the amplitude represents the vertical difference between the corresponding peak point and valley point in the corresponding waveform, and the specific vertical distance of the vertical difference is the specific amplitude between the corresponding points. Then, by combining the change of the corresponding amplitude with the change of temperature, it can be confirmed whether the change state of the corresponding waveform amplitude meets the standard, so as to perform specific signal display. The specific method for confirming the amplitude sequence is as follows:

[0051] Define a set of monitoring periods, and the monitoring period is a preset period, and its specific value is determined by the operator according to experience. Confirm the amplitudes of several groups of resistance signals generated within the monitoring period, confirm the peak points and valley points associated with the corresponding resistance signals, record the adjacent peak points and valley points as adjacent points, confirm the vertical distance between the adjacent points, lock the associated amplitudes from the confirmed vertical distances, and perform mean processing on several groups of locked associated amplitudes of this resistance signal (generally, they are of the same type of amplitude. If there is power fluctuation, it will cause amplitude change, so the mean processing method is the best here) to confirm the characteristic amplitude corresponding to the resistance signal;

[0052] According to the time sequence relationship of different resistance signals, sort the several groups of confirmed characteristic amplitudes to confirm the amplitude sequence, and transmit the confirmed amplitude sequence into the temperature change signal confirmation terminal;

[0053] Specifically, after the resistance signal is generated, it can be effectively arranged as a corresponding amplitude sequence according to the time relationship. Then, according to the signal waveform associated with the corresponding resistance signal, the amplitude between points can be effectively confirmed from the corresponding signal waveform. The overall change state of the corresponding amplitude can effectively show the numerical intensity of the corresponding signal, so as to effectively show the specific intensity of the corresponding signal. Then, according to the change state of the corresponding signal following the temperature, the monitored resistance is intelligently detected;

[0054] Its temperature change signal confirmation terminal, based on the real-time temperature monitored by the temperature sensor, confirms the resistance temperature associated with the resistance signal corresponding to the amplitude sequence. Based on the change characteristics of the resistance temperature and the amplitude change characteristics of the amplitude sequence, it confirms the temperature change abnormal signal. The specific confirmation method is as follows:

[0055] Based on the resistance temperature monitored by the temperature sensor in real time, the moment of the resistance signal associated with the corresponding amplitude in the amplitude sequence is recorded as the characteristic moment, and the resistance temperature associated with the characteristic moment is recorded as the characteristic temperature. According to the time sequence relationship corresponding to different characteristic temperatures, a set of characteristic temperature sequences is generated, and the characteristic temperature sequences and the parameters at the same sorting positions in the amplitude sequence are in one-to-one correspondence in terms of time relationship;

[0056] Confirm the change temperature characteristics of adjacent parameters in the characteristic temperature sequence, and the change characteristic = |the previous group of characteristic temperatures - the next group of characteristic temperatures|. Use the same processing method to confirm the change amplitude characteristics of adjacent parameters in the amplitude sequence, and confirm the characteristic ratio at the same sorting position, and the characteristic ratio = change amplitude characteristic ÷ change temperature characteristic;

[0057] And sort the sequentially confirmed characteristic ratios to confirm the characteristic ratio sequence, and identify whether the values from front to back in this characteristic ratio sequence gradually decrease. If so, it means that the change of this resistance with temperature is normal and no processing is required. If not, it means that the change of the resistance value of this resistance with temperature is abnormal, and a temperature change abnormal signal is directly generated for display;

[0058] Specifically, as the temperature gradually increases, the resistance value of the resistance will also increase accordingly. However, during the gradual increase of the temperature, in the initial stage of the temperature, the relative increase of the resistance value is relatively large. But as the temperature gradually rises, the growth characteristic of the resistance value will gradually become smaller, and the specific ratio confirmed will also gradually become smaller accordingly. When the corresponding numerical characteristics do not change following such characteristics, it means that the corresponding resistance value change state is abnormal, and signal display is required for external relevant operators to perform maintenance;

[0059] Combining Embodiment 1 and Embodiment 2 can not only effectively avoid the signal interference process during the detection process, but also effectively detect the operating state of the resistance, achieving a more comprehensive detection and processing effect.

[0060] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0061] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The intelligent detection system of grounding resistance of line tower based on TMR sensor technology is characterized by: include: The signal monitoring and acquisition end monitors the resistance signal of the line tower grounding resistance based on the TMR sensor, and simultaneously receives the interference signals in the surrounding area based on other signal receivers; The signal characteristic verification end performs characteristic verification on the signal waveforms of several groups of interference signals and the signal waveforms of the resistance signal based on the signal waveforms of the resistance signal and the interference signal, and locks the interference waveform based on the verification result; The filter frequency determination end performs frequency confirmation on the confirmed interference waveform, records the confirmed frequency value as the interference frequency and synchronously displays it through the display end.

2. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 1 is characterized in that: The specific method of the signal feature verification end to lock the interference waveform is: The signal waveform of the resistance signal is recorded as the standard waveform, and the abnormal band existing in the standard waveform is confirmed; Overlap the starting point of the signal waveform of the interference signal with the standard waveform. After the overlap is completed, confirm the overlap point between the signal waveform and the standard waveform, and identify whether the overlap point is located in the deformed band marked by the standard waveform; If all the coincidence points are located in the deformed band, the signal waveform is marked as an interference waveform; If all the coincidence points are not all located in the deformed band, the signal waveform of the interference signal is horizontally moved, and the moving range is: waveform starting point - second group of zero value points, the second group of zero value points are the second points with an amplitude of 0 confirmed from the waveform starting point in the signal waveform, and within the determined moving range, it is identified whether all the coincidence points of the signal waveform are located in the deformed band. If so, the signal waveform is calibrated as an interference waveform, otherwise, no calibration is performed; The signal waveform of each group of interference signals is calibrated by using the above-mentioned overlap confirmation method, and the calibrated interference waveforms are transmitted to the filter frequency determination end in turn.

3. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 2 is characterized in that: The signal feature verification end specifically confirms the deformed band in the following manner: calibrate the extreme value points appearing in the standard waveform, wherein the extreme value points include valley points and peak points, wherein the valley points are the minimum waveform amplitude points, the peak points are the maximum waveform amplitude points, and the valley points are the minimum waveform amplitude points. In the standard waveform, there are multiple groups of maximum waveform amplitude points and minimum waveform amplitude points. The waveform segments between adjacent extreme value points are recorded as extreme value segments. If the initial value of the extreme value segment is the peak point, a group of virtual waveforms from the peak point to the end point of the extreme value segment is generated, and the trend of this virtual waveform is in a descending state. If the initial value of the extreme value segment is the valley point, a group of virtual waveforms from the valley point to the peak point of the extreme value segment is generated, and the trend of this virtual waveform is in an ascending state. Perform an overlap check on the corresponding extreme value segment and the virtual waveform, and calibrate the non-overlapping waveform segments as deformed bands.

4. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 1 is characterized in that: The specific method of the filtering frequency determination end to confirm the frequency of the interference waveform is: According to the calibrated interference waveform, confirm the peak points in the interference waveform and confirm the vertical distance between adjacent peak points, which is recorded as the associated wavelength B. k , and then confirm the transmission rate V of the waveform corresponding to the adjacent peak point k , where k represents different adjacent peak points, where: T k =V k ÷B k Confirm the frequency T associated with the adjacent peak points of the corresponding interference waveform k If the frequencies confirmed between the subsequent adjacent peak points of this interference waveform are the same value, then the confirmed frequency T k as interference frequency.

5. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 4 is characterized in that: If the frequencies confirmed between subsequent adjacent peak points of the interference waveform are not the same value, the confirmed frequencies are confirmed for maximum and minimum values, a set of frequency intervals are locked, and the frequencies associated with this frequency interval are recorded as interference frequencies.

6. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 1 is characterized in that: Also includes: The waveform amplitude analysis end periodically monitors the resistance signal after filtering, and re-analyzes the amplitude of the monitored resistance signal, generates an amplitude sequence based on the time sequence of the several groups of amplitudes obtained by the analysis, and transmits it to the temperature change signal confirmation end; The temperature change signal confirmation end confirms the resistance temperature associated with the resistance signal corresponding to the amplitude sequence based on the real-time temperature monitored by the temperature sensor, and confirms the temperature change abnormality signal based on the change characteristics of the resistance temperature and the amplitude change characteristics of the amplitude sequence.

7. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 6 is characterized in that: The waveform amplitude analysis end confirms the amplitude sequence in the following specific manner: A set of monitoring cycles is defined, wherein the monitoring cycle is a preset cycle, and the amplitudes of several groups of resistance signals generated within the monitoring cycle are confirmed, the peak points and valley points associated with the corresponding resistance signals are confirmed, and the adjacent peak points and valley points are recorded as adjacent points, and the vertical distance between the adjacent points is confirmed, and the associated amplitude is locked from the confirmed vertical distance, and the several groups of associated amplitudes locked by the resistance signal are averaged to confirm the characteristic amplitude belonging to the corresponding resistance signal; According to the time sequence of different resistance signals, the confirmed groups of characteristic amplitudes are sorted, the amplitude sequence is confirmed, and the confirmed amplitude sequence is transmitted to the temperature change signal confirmation terminal.

8. The line tower grounding resistance intelligent detection system based on TMR sensor technology according to claim 7 is characterized in that: The specific method of the temperature change signal confirmation end for confirming the abnormal temperature change signal is: Based on the resistor temperature monitored in real time by the temperature sensor, the moment of the resistor signal associated with the corresponding amplitude in the amplitude sequence is recorded as the characteristic moment, and the resistor temperature associated with the characteristic moment is recorded as the characteristic temperature. According to the time sequence corresponding to different characteristic temperatures, a set of characteristic temperature sequences is generated. Its characteristic temperature sequence and the parameters at the same sorting position in the amplitude sequence have a one-to-one correspondence in terms of time relationship; Confirm the temperature characteristics of the adjacent parameters in the characteristic temperature sequence, and its change characteristics = | previous set of characteristic temperatures - next set of characteristic temperatures |. Use the same processing method to confirm the amplitude characteristics of the adjacent parameters in the amplitude sequence, and confirm the characteristic ratio at the same sorting position. Its characteristic ratio = change amplitude characteristic ÷ change temperature characteristic; The confirmed characteristic ratios are sorted in sequence to confirm the characteristic ratio sequence, and it is identified whether the values ​​from the front to the back in this characteristic ratio sequence gradually decrease. If so, no processing is required. If not, a temperature change abnormality signal is directly generated for display.

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