CN115728597B

CN115728597B - High-speed data recording and fault positioning method for broadband voltage measurement

Info

Publication number: CN115728597B
Application number: CN202211518765.5A
Authority: CN
Inventors: 谢施君
Original assignee: Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Current assignee: Electric Power Research Institute of State Grid Sichuan Electric Power Co Ltd
Priority date: 2022-11-30
Filing date: 2022-11-30
Publication date: 2025-08-19
Anticipated expiration: 2042-11-30
Also published as: CN115728597A

Abstract

The present invention discloses a high-speed data recording and fault location method for broadband voltage measurement. By alternately capturing signals through dual channels, the ability to capture continuous signals is guaranteed. After capturing the data of each tower, it is uploaded to the cloud for storage. The data in the cloud is then processed to obtain the fault location result, reducing the pressure on the front end. Fault location is performed by combining voltage with time data, which not only can accurately locate the fault point, but also reduces the amount of data and the complexity of the data processing process, thereby improving the efficiency of fault location.

Description

High-speed data recording and fault positioning method for broadband voltage measurement

Technical Field

The invention relates to the technical field of electric power measurement, in particular to a high-speed data recording and fault positioning method for broadband voltage measurement.

Background

Along with the development of the power transmission technology, the accurate measurement of the transient overvoltage has great significance for the safety guarantee of the operation of the power grid. However, the transient voltage has complex waveform, abundant frequency components, large difference between time domain and frequency domain spans, and the rising time can reach 100 nanoseconds at the highest time from hundreds of milliseconds to microseconds.

At present, most of the measurement is performed by means of oscilloscopes, high-speed data acquisition cards and the like, the synchronization of multi-point simultaneous measurement clocks is difficult, the data post-processing flow is complex, the processing capacity of continuous signals is limited, the positioning algorithm of fault points is complex, the parameter configuration requirement of hardware is high, the interference is easy, the false alarm rate is high, the long-term on-line measurement of outdoor sites is difficult, the power supply is difficult, the false triggering of interference signals is frequent, the data quantity is large, the power consumption is high, the cost is high, the popularization is difficult, and the requirement of automatic transient current and voltage monitoring cannot be met.

Disclosure of Invention

The application aims to provide a high-speed data recording and fault positioning method for broadband voltage measurement, which solves the problems of limited continuous signal processing capacity and difficult fault point positioning in the prior art.

The invention is realized by the following technical scheme:

A high-speed data recording and fault locating method for broadband voltage measurement comprises the following steps:

Simultaneously acquiring voltage waveform data of the towers through the double-sensor channels, and simultaneously counting through a clock counter to acquire the corresponding relation between the clock count value and the voltage waveform data;

analyzing the voltage waveform data, acquiring a signal starting point and UTC time information corresponding to the signal starting point in the analyzed voltage waveform data, and acquiring position information of a tower, wherein the position information of the tower is pre-stored data;

according to the corresponding relation between the clock count value and the voltage waveform data and the signal starting point, adopting double storage channels to continuously capture transient voltage waveform data corresponding to the towers so as to realize high-speed data recording;

acquiring energy values corresponding to transient voltage waveform data corresponding to the double-sensor channel, judging whether the similarity of the energy values is larger than a preset threshold value, if so, forming associated data by the transient voltage waveform data, the energy values, UTC time information and position information corresponding to the tower, and storing the associated data to a cloud, otherwise, returning to the step of acquiring the voltage waveform data;

After the cloud end stores the associated data corresponding to at least four continuous towers on the same transmission line, the associated data of the four continuous towers are taken out from the cloud end according to the sequence of UTC time information, and fault location is carried out according to the four associated data, so that a primary fault location result is obtained;

Traversing all the associated data, obtaining a plurality of primary positioning results, and obtaining a final fault positioning result according to the primary positioning results.

In one possible embodiment, the voltage waveform data of the towers are acquired simultaneously through the dual sensor channels and counted simultaneously through the clock counter, comprising:

acquiring voltage waveform data corresponding to a pole tower through a first sensor channel to obtain first voltage waveform data;

Acquiring voltage waveform data corresponding to the tower through a second sensor channel to obtain second voltage waveform data;

and meanwhile, counting pps second pulses output by the GPS time service module through a clock counter so as to acquire the corresponding relation between the clock count value and the voltage waveform data.

In one possible implementation, parsing the voltage waveform data includes:

converting the first voltage waveform data and the second voltage waveform data into a first digital signal and a second digital signal respectively;

filtering the first digital signal and the second digital signal by adopting a power frequency filtering algorithm to obtain a first filtering signal V2a and a second filtering signal V2b;

and taking absolute values of the first filtering signal V2a and the second filtering signal V2b to obtain analyzed first voltage waveform data V3a and analyzed second voltage waveform data V3b, so as to unify the data with negative increase into the data with positive increase.

In one possible implementation manner, obtaining the signal start point and UTC time information corresponding to the signal start point in the parsed voltage waveform data includes:

Judging whether the analyzed first voltage waveform data V3a and the analyzed second voltage waveform data V3b have continuous Dn point increment, if so, extracting the first point which is incremented in the analyzed first voltage waveform data V3a as a first signal starting point, extracting the first point which is incremented in the analyzed second voltage waveform data V3b as a second signal starting point, extracting UTC time information corresponding to the signal starting point, otherwise, re-acquiring the first voltage waveform data and the second voltage waveform data, and determining the signal starting points of the first voltage waveform data and the second voltage waveform data.

In one possible implementation manner, according to the relationship between the clock count value and the voltage waveform data and the signal starting point, capturing the transient voltage waveform data corresponding to the tower continuously by adopting the double storage channels, including:

Acquiring a first clock count value ts1 corresponding to a first signal starting point and an idle storage channel in the double storage channels, and capturing first transient voltage waveform data through the idle storage channel according to the first clock count value ts1, wherein the capturing process comprises the steps of determining a first sampling point corresponding to the first clock count value ts1 in original first voltage waveform data, taking the first sampling point as the starting point, and acquiring data of a t2 time length to obtain the first transient voltage waveform data;

Acquiring a second clock count value ts2 corresponding to a second signal starting point and an idle storage channel in the double storage channels, and capturing second transient voltage waveform data through the idle storage channel according to the second clock count value ts2, wherein the capturing process comprises the steps of determining a second sampling point corresponding to a second clock count value ts1 in original second voltage waveform data, taking the second sampling point as the starting point, and acquiring data of a time length of t2 to obtain the second transient voltage waveform data.

In one possible implementation, the energy value corresponding to the transient voltage waveform data is:

Wherein X _e represents an energy value of the transient voltage waveform data corresponding to the tower, X _i represents voltage data corresponding to the ith sampling point, and n represents the total number of sampling points.

In one possible implementation manner, the method includes the steps of taking out related data of four continuous towers from the cloud according to the sequence of UTC time information, and performing fault location according to the four related data to obtain a primary fault location result, wherein the method includes the steps of:

According to the sequence of UTC time information, four continuous associated data are taken out from the cloud, the positions corresponding to the four continuous associated data are respectively marked as G0, G1, G2 and G3, the corresponding UTC time information is marked as Tg0, tg1, tg2 and Tg3, and the corresponding energy values are marked as X _e0、X_e1、X_e2 and X _e3;

Determining a first relation among Tg0, tg1, tg2 and Tg3, determining a second relation among X _e0、X_e1、X_e2 and X _e3, and determining whether the fault point is located between the position G1 and the position G2 or on the position G2 according to the first relation and the second relation;

If the fault point is located between the position G1 and the position G2, determining a primary fault location result according to the position G1, the position G2, the UTC time information Tg1 and the UTC time information Tg 2.

In one possible embodiment, determining the fault point between the position G1 and the position G2 according to the first relationship and the second relationship includes:

A1, judging whether Tg1 is approximately equal to Tg2 and is smaller than Tg3 and X _e1≈X_e2>X_e3 exists, if yes, judging that a fault exists, and if not, entering a step A2, wherein the fault is located between a position G1 and a position G2;

A1, judging whether Tg1 is approximately equal to Tg2 and is smaller than Tg03 and X _e1≈X_e2>X_e0 exists, if yes, judging that a fault exists, and the fault is located between a position G1 and a position G2, otherwise, judging that the fault is not located between the position G1 and the position G2;

where, ζ represents that the difference between the two data is within the set range.

In one possible embodiment, determining the fault point to be located at the position G2 according to the first relationship and the second relationship includes:

Judging whether Tg1 is approximately equal to Tg3< Tg02 and X _e1≈X_e3>X_e2 exists, if yes, judging that a fault exists and the fault point is located at a position G2, otherwise, judging that the fault point is not located at the position G2;

if the fault point is not located between the position G1 and the position G2 and is not located on the position G2, four continuous associated data are retrieved for fault location.

In one possible embodiment, determining the primary fault location result according to the location G1, the location G2, the UTC time information Tg1, and the UTC time information Tg2 includes:

S=S1+S2

S1/Tg1=S2/Tg2

where S represents the distance between the position G1 and the position G2, S1 represents the distance from the fault point to the position G1, and S2 represents the distance from the fault point to the position G2.

According to the high-speed data recording and fault positioning method for broadband voltage measurement, the capturing capability of continuous signals is guaranteed through the two-channel alternate capturing of signals, the data of each tower are captured and then uploaded to the cloud for storage, the data in the cloud are processed to obtain the fault positioning result, the pressure of the front end is reduced, the fault positioning is carried out through voltage combination time data, the fault point can be accurately positioned, the data quantity and the complexity of the data processing process are reduced, and the fault positioning efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are needed in the examples will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and that other related drawings may be obtained from these drawings without inventive effort for a person skilled in the art. In the drawings:

Fig. 1 is a first flowchart of a high-speed data recording and fault locating method for broadband voltage measurement according to an embodiment of the present application.

Fig. 2 is a second flowchart of a high-speed data recording and fault locating method for broadband voltage measurement according to an embodiment of the present application.

Fig. 3 is a schematic structural diagram of a data recording device according to an embodiment of the present application.

Detailed Description

For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.

Example 1

As shown in FIG. 1, the present application provides a high-speed data recording and fault locating method for broadband voltage measurement, comprising:

and S11, simultaneously acquiring voltage waveform data of the tower through the double-sensor channel, and simultaneously counting through a clock counter to acquire the corresponding relation between the clock count value and the voltage waveform data.

The counting is carried out through the clock counter, the PPS pulse is output by the GPS timing module, the FPGA counts the second pulse through the clock counter, namely, the clock counting of the FPGA is calibrated through two adjacent second pulses of the GPS, and accurate time extraction is realized.

The step of simultaneously acquiring the voltage waveform data of the tower through the dual-sensor channel can comprise the step of outputting a voltage signal by the current sensor or the voltage sensor when the current or the voltage on the tower is measured by the current sensor or the voltage sensor, and obtaining the voltage waveform data corresponding to the sensor channel by recording the voltage signal.

S12, analyzing the voltage waveform data, acquiring a signal starting point and UTC time information corresponding to the signal starting point in the analyzed voltage waveform data, and acquiring position information of a tower, wherein the position information of the tower is pre-stored data.

After transient overvoltage occurs, the measured voltage should be in an ascending trend, and the voltage on the same tower is measured by the dual-sensor channel, so that the voltage waveform data measured by the dual-sensor channel should all have ascending segments.

S13, continuously capturing transient voltage waveform data corresponding to the towers by adopting double storage channels according to the corresponding relation between the clock count value and the voltage waveform data and the signal starting point, so as to realize high-speed data recording and ensure the capturing capability of continuous signals.

S14, acquiring energy values corresponding to the transient voltage waveform data corresponding to the double-sensor channel, judging whether the similarity of the energy values is larger than a preset threshold value, if so, forming associated data by the transient voltage waveform data, the energy values, UTC time information and position information corresponding to the towers, and storing the associated data to the cloud, otherwise, returning to the step of acquiring the voltage waveform data, namely returning to the step S11.

And S15, after the cloud end stores the associated data corresponding to at least four continuous towers on the same transmission line, the associated data of the four continuous towers are taken out from the cloud end according to the sequence of UTC time information, and fault location is carried out according to the four associated data, so that a primary fault location result is obtained.

The fault points are not necessarily located between the four consecutive towers that are taken out, so the primary fault location result may include a specific fault point location result, or may be null, which indicates that there are no fault points between the four towers. It is necessary to traverse all of the associated data to determine where the fault point is located.

S16, traversing all the associated data, obtaining a plurality of primary positioning results, and obtaining a final fault positioning result according to the primary positioning results.

When a certain point on a certain transmission line is struck by lightning, overvoltage generated by the lightning strike can be diffused along the transmission line, so that the voltage of each tower can be monitored respectively, after the overvoltage is generated, the corresponding overvoltage waveform is uploaded to the cloud end, the front end only collects data, the hardware requirement on the front end is reduced, and the fault point can be rapidly located through the strong computing capacity of the cloud end.

And acquiring voltage waveform data corresponding to the tower through the first sensor channel to obtain first voltage waveform data. And acquiring voltage waveform data corresponding to the tower through a second sensor channel to obtain second voltage waveform data.

In one possible implementation, parsing the voltage waveform data includes:

The first voltage waveform data and the second voltage waveform data are respectively converted into a first digital signal and a second digital signal.

And filtering the first digital signal and the second digital signal by adopting a power frequency filtering algorithm to obtain a first filtering signal V2a and a second filtering signal V2b.

In the present embodiment, dn may be set to 10, but is not limited to 10, and Dn may be set to other numbers.

Acquiring a first clock count value ts1 corresponding to a first signal starting point and an idle storage channel in the double storage channels, and capturing first transient voltage waveform data through the idle storage channel according to the first clock count value ts1, wherein the capturing process comprises the steps of determining a first sampling point corresponding to the first clock count value ts1 in original first voltage waveform data, taking the first sampling point as the starting point, and acquiring data of a t2 time length to obtain the first transient voltage waveform data.

Optionally, in order to improve the comparison efficiency when the similarity comparison is performed, the calculation of the energy value may be performed by adopting an interval sampling manner, for example, based on the transient voltage waveform data, the 1 st point is extracted every 5 data points, i.e. the workload is reduced to 1/5 of the original data.

and (3) taking out four continuous associated data from the cloud according to the sequence of the UTC time information, wherein the positions corresponding to the four continuous associated data are respectively marked as G0, G1, G2 and G3, the corresponding UTC time information is marked as Tg0, tg1, tg2 and Tg3, and the corresponding energy values are marked as X _e0、X_e1、X_e2 and X _e3.

Determining a first relation among Tg0, tg1, tg2 and Tg3, determining a second relation among X _e0、X_e1、X_e2 and X _e3, and determining whether the fault point is located between the position G1 and the position G2 or on the position G2 according to the first relation and the second relation.

A1, judging whether Tg1 is approximately equal to Tg2 and is smaller than Tg3 and X _e1≈X_e2>X_e3 exists, if yes, judging that a fault exists, and if not, entering the step A2, wherein the fault is located between the position G1 and the position G2.

A1, judging whether Tg1 is approximately equal to Tg2 and is smaller than Tg03 and X _e1≈X_e2>X_e0, if yes, judging that a fault exists, and the fault point is located between the position G1 and the position G2, otherwise, judging that the fault point is not located between the position G1 and the position G2.

Judging whether Tg1 is approximately equal to Tg3< Tg02 and X _e1≈X_e3>X_e2 exists, if yes, judging that a fault exists, and the fault point is located at a position G2, otherwise, judging that the fault point is not located at the position G2.

S=S1+S2

S1/Tg1=S2/Tg2

Example 2

As shown in fig. 2, the present application provides a high-speed data recording and fault locating method for broadband voltage measurement, which specifically comprises the following steps:

First, the number Dn of discrimination points, such as 10 points, of continuous rising waveform is set, and the depth capacity of the FPGA cyclic storage FIFO is set to 20ms data volume. The GPS timing module outputs pps second pulse, the FPGA counts the second pulse by using a clock counter, namely, the clock count of the FPGA is calibrated through two adjacent second pulses of the GPS, and accurate time extraction is realized.

The input signals pass through the sensor A and the sensor B, are respectively subjected to analog signal conditioning, and are converted into digital signals by the two-channel synchronous sampling ADC. The FPGA acquires digital signals output by the ADC, and a 50Hz power frequency filtering algorithm is executed on the two paths of signals to obtain data V2a and V2b for filtering the power frequency signals.

Taking absolute values of the data V2a and V2b to obtain V3a and V3b, and unifying the data with negative increase into the data with positive increase.

And respectively carrying out increment judgment on continuous Dn points (10 points in the embodiment) of the signal data V3a and V3b, if the data V3a and V3b conform to the increment change trend, extracting the first point of the increment of the data V3a and V3b, and extracting the value ts and UTC time information of an FPGA clock sampling counter.

At this time, the FPGA detects the idle DDR (thus the DDR-A is idle), the FPGA records the original waveform data pre-stored in the FIFO, continuously records the waveform with the time length of t2 (such as 200 ms), and stores the time information into the DDR-A. Otherwise, the DDR-B is stored, so that the capturing capability of continuous signals is ensured.

The FPGA informs the DSP to read the waveform data in the corresponding DDR (e.g. DDR-A), the DSP compares the similarity of the waveform data of the channel A, B, and in order to improve the comparison efficiency, a mode of sampling at intervals is adopted, for example, the 1 st point is extracted from every 5 data points, namely, the workload is reduced to 1/5 of the original data.

The energy X _e of the waveform is recorded, and the energy calculation formula is as follows:

The distance between adjacent towers is relatively close, and the waveform energy X _e is close and is an increasing or decreasing change trend. And combining the comparison results of the A, B sets of waveforms, if the similarity of the two sets of waveform data is greater than Q percent (such as Q=80), the acquired waveform data is considered to be effective, the waveforms are consistent, and the interference of the sensor and the equipment is eliminated. And simultaneously storing the waveform, UTC time information and waveform energy values into FLASH.

And uploading the stored waveform, UTC time data, energy value and device position number to the cloud server through a wireless communication mode. And after the towers upload the data of the devices to the server, the cloud server can extract the data of the 3 devices closest in time, wherein the data are arranged as G1, G2 and G3 according to the positions, and the corresponding moments are Tg1, tg2 and Tg3.

As shown in FIG. 3, the embodiment provides a data recording device, the input signal of which is 20 Hz-5 MHz broadband signal, and the signal amplitude is + -100V. In this data recording apparatus, the functions of the respective components are as follows:

AMP1 and AMP4, first stage signal attenuation circuit. And (3) performing preliminary attenuation on the input broadband large signal (20 Hz-5 MHz, +/-100V) by adopting an operational amplifier.

AMP2 and AMP5, second stage signal attenuation circuit. And carrying out secondary attenuation on the first-stage signal to ensure that the signal amplitude meets the processing range of a subsequent circuit, and recovering the polarity of the signal through an inverse operation circuit.

AMP3 and AMP6, single-ended signal to differential signal circuit. And converting the single-ended signal into a differential signal meeting the input requirements of the ADC through a differential operational amplifier.

ADC, analog-to-digital converter, uses 40MSPS ADC (AD 9629 BCPZ-40) to sample the signal, and the ADC has voltage reference standard inside, and the reference is used for supplying AMP3 and AMP6 as reference sources.

The FPGA is an integrated logic device, and XC6SLX25-2FTG256 type FPGA is selected to realize the functions of filtering data, collecting, triggering and distinguishing data, recording data, aligning GPS clock, controlling DDR storage and DSP communication.

The DSP is a digital processor, and is used for selecting ADSP-BF532SBSTZ400, so that communication with the FPGA, DDR reading control, GPS information acquisition, communication with a server through a wireless communication module (remote data uploading and remote equipment management), EMMC storage control, camera device operation control, temperature and humidity data acquisition, USB wired communication function, power management, low-power consumption mode control and device self-checking function are realized.

DDRA and DDRB A master-slave data scratch pad function is realized by selecting two pieces of MT41K128M16JT-125-IT SDRAM.

GPS time service, namely selecting an L26T high-precision GPS time service module to provide UTC time and PPS second pulse signals required by the device.

And wireless communication, namely selecting an EC20 mobile communication module to realize the communication between the device and the server, and completing the functions of instruction interaction, data uploading and running state monitoring.

EMMC storage is carried out by selecting SDINBDA to 64G EMMC storage, and the local storage function of waveform data is realized.

And the temperature and humidity sensor is a SHT30-DIS-B2.5KS temperature and humidity sensor, and is used for acquiring temperature and humidity parameters in the device and assisting in judging whether the shell of the device is damaged.

USB interface, USB-TYPEC interface, to realize the function of local data export and device debugging information check.

The lithium ion battery can be used for supplying power to the device, the charging interface can be externally connected with a power adapter or an external battery pack, the battery capacity is selected according to continuous working time, and the solar panel can be used for supplementing electric quantity.

In terms of time, when an abnormal condition occurs, such as a lightning strike, a lightning strike point falls on any place on a line, and only two conditions exist, namely ① falls on a cable between two adjacent towers, such as between G1 and G2 or between G2 and G3, wherein G1, G2 and G3 are any 3 continuous towers on the line, the time Tg1, tg2 or Tg2 and Tg3 for transmitting signals to G1, G2 or G2 and G3 is closest, and the time for transmitting signals to the towers G1-1 and G3+1 is far longer than the time for transmitting signals to the towers G1, G2 or G2 and G3 due to the fact that one-stage towers are separated. ② When the signal is dropped on the towers, such as G2, two adjacent towers are G1 and G3, that is, when the position where the abnormality occurs is G2, the signal capturing time of the device positioned on G2 is shortest, and the time of transmitting the abnormal signal to the next-stage towers is included in Tg1 and Tg 3. This step determines in time the location of the tower to which the anomaly data corresponds.

In the aspect of waveform data, the device transmits the captured waveform data and waveform energy characteristics to the server, the server performs comparison analysis on the received data, and as the device is arranged between all levels of towers, when abnormal conditions occur, such as between G1 and G2 or between G2 and G3, the distance is very close, waveform attenuation is reduced, the waveform data captured by the corresponding device has high similarity, the waveform energy value approaches, such as 96% of waveform similarity, X _e1 and X _e2 approach or X _e2 and X _e3 approach, and in addition, the recorded maximum amplitude characteristic approaches, namely the position of the tower corresponding to the data is further confirmed on the waveform and the characteristic value.

The towers G0, G1, G2, and G3, which are sequentially arranged, have 2 relationships among the UTC time information Tg0, tg1, tg2, and Tg3, and the energy values X _e0、X_e1、X_e2 and X _e3, specifically as follows:

1. Abnormal points occur between two stages of towers, such as G0, G1, G2 and G3 are continuous 4 stages of towers, abnormal occurs between G1 and G2, G0 and G3 are left and right second stages of towers respectively, when Tg1 is approximately Tg2< Tg3, tg1 is approximately Tg2< Tg0, and X _e1≈X_e2>X_e3、X_e1≈X_e2>X_e0 occurs between two stages of towers, i.e., lightning strikes occur on a cable between two stages of towers, waveforms are captured first at towers on both sides of the cable, and energy attenuation of the waveforms is nearly uniform, time for the waveforms to reach left and right adjacent second stages of towers G0 and G3 is significantly longer than time to reach G1 and G2, and energy is significantly greater than X _e0 and X _e3.

2. When abnormal points occur on towers, such as G1, G2 and G3 are continuous 3-level towers, G1 and G3 are adjacent towers around the abnormal point towers, when Tg1 is approximately equal to Tg3 and Tg2, X _e1≈X_e3<X_e2 occurs on the G2 towers, namely lightning strokes occur on the towers, waveforms at the towers are captured first, energy is maximum, the time for the waveforms to reach the adjacent towers around is basically consistent, the time for the waveforms to reach the adjacent towers is obviously greater than Tg2, energy attenuation is basically consistent, and the waveforms are obviously smaller than X _e1 and X _e3.

At this time, the specific tower position where the abnormal point is located has been determined, that is, between the G1 and G2 towers, and in a special case, occurs at the middle position of the 3 towers, that is, above the G2 tower. The recognition accuracy of the abnormal point positions is greatly improved, and false alarm is avoided.

The positions and the distances of the towers G0, G1, G2 and G3 are known and are given by engineering data during line erection (or the distance is calculated through GPS positioning information acquisition of a device), if the distance between the towers G1 and G2 is S, the recorded time of the devices positioned on the towers G1 and G2 is Tg1 and Tg2 respectively, the transmission speed V of the signals on the two sides of the line is the same, the distance between the two towers is S, the distance from an abnormal point to the tower G1 is S1, the distance from the abnormal point to the tower G2 is S2, and the distance has the relation that S=S1+S2

The times measured according to the apparatus are Tg1 and Tg2, respectively, and S1/Tg 1=s2/Tg 2 can be obtained according to the basic formula s=v·t.

According to the above formula, S, tg and Tg2 are known values, the position of the occurrence of the abnormal point can be calculated, and the abnormal point on the G2 tower is not calculated.

The data of the two devices closest in time are extracted by the cloud server, namely, the position (positioned between towers G1 and G2) where the abnormal waveform occurs is determined.

The method comprises the steps of determining the interval of the abnormal point in the first step, calculating the specific position in the second step, and effectively eliminating interference and improving the accuracy of abnormal capturing through the comparison of the two-channel waveform data, the comparison of waveform energy and the discrimination of the waveform capturing time and energy variation trend.

The cloud server issues instructions to the devices G0, G1, G2 and G3, links the cameras, captures image data, and returns the image data to the cloud server for abnormality investigation.

The same signal is acquired through the two groups of sensors, the occurrence time of the abnormal signal is determined by adopting the judgment of the incremental trend of the two channels of data, and the interference generated by the sensors and the acquisition device is eliminated through the similarity analysis of the A, B channels of waveform data, so that the accuracy and the efficiency of distinguishing and timely acquiring the abnormal signal are greatly improved.

By combining with an Internet cloud server platform, the device only uploads effective data, the cloud server performs comprehensive analysis on multiple device data to give out the accurate position of an abnormal point, and meanwhile, the high-accuracy abnormal signal front-end judging method of the device greatly reduces the data transmission quantity of the device and the cloud platform, reduces the requirements on network bandwidth and server configuration, reduces the cost, and effectively improves engineering application capacity and popularity.

By matching with the camera linkage function, the tower and the cable at the abnormal occurrence point can be quickly and accurately checked, and the fault hidden trouble investigation efficiency is accurately and effectively improved.

The high-precision GPS time service module is adopted, the time alignment work of the trigger time and the peak appearance time of the waveform is completed by utilizing the grading time extraction, and meanwhile, the time synchronization work among the measuring devices arranged at different positions is realized, so that the problem of time synchronization of the subsequent data analysis is solved.

The master-slave double DDR design is adopted, so that the arrival of continuous trigger signals is avoided, the conflict is generated to the reading of system data, the continuity of the back-end data storage is influenced, the continuous capturing of continuous signals is ensured, and meanwhile, the requirement of the system on the single DDR capacity is reduced.

The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.

Claims

1. A method for high-speed data recording and fault location for broadband voltage measurement, comprising:

The voltage waveform data of the tower is simultaneously acquired through the dual sensor channels, and counted by the clock counter at the same time to obtain the corresponding relationship between the clock count value and the voltage waveform data;

Parsing the voltage waveform data to obtain the signal starting point and the UTC time information corresponding to the signal starting point in the parsed voltage waveform data, and obtaining the position information of the tower, where the tower position information is pre-stored data;

Based on the relationship between the clock count value and the voltage waveform data and the signal starting point, dual storage channels are used to continuously capture the transient voltage waveform data corresponding to the tower to achieve high-speed data recording;

Obtain the energy values corresponding to the transient voltage waveform data corresponding to the dual sensor channels, and determine whether the energy value similarity is greater than a preset threshold. If so, store the transient voltage waveform data, energy value, UTC time information, and location information of the tower in the cloud as associated data. Otherwise, return to the step of obtaining voltage waveform data.

After the cloud stores the associated data corresponding to at least four consecutive towers on the same transmission line, the associated data of the four consecutive towers are retrieved from the cloud according to the order of UTC time information, and the fault is located based on the four associated data to obtain the primary fault location result;

All associated data are traversed to obtain multiple primary positioning results, and a final fault positioning result is obtained based on the primary positioning results.

2. The high-speed data recording and fault location method for broadband voltage measurement according to claim 1, characterized in that the voltage waveform data of the tower is simultaneously acquired through dual sensor channels and counted by a clock counter, comprising:

Acquire voltage waveform data corresponding to the tower through the first sensor channel to obtain first voltage waveform data;

Acquire voltage waveform data corresponding to the tower through the second sensor channel to obtain second voltage waveform data;

At the same time, the pps pulses output by the GPS timing module are counted by a clock counter to obtain the corresponding relationship between the clock count value and the voltage waveform data.

3. The high-speed data recording and fault location method for broadband voltage measurement according to claim 2, wherein analyzing the voltage waveform data comprises:

Filtering the first digital signal and the second digital signal using a power frequency filtering algorithm to obtain a first filtered signal V2a and a second filtered signal V2b;

The absolute values of the first filtered signal V2a and the second filtered signal V2b are taken to obtain the parsed first voltage waveform data V3a and the parsed second voltage waveform data V3b, so as to unify the negatively increasing data into positively increasing data.

4. The high-speed data recording and fault location method for broadband voltage measurement according to claim 3, wherein obtaining the signal starting point and the UTC time information corresponding to the signal starting point in the analyzed voltage waveform data comprises:

Determine whether the parsed first voltage waveform data V3a and the parsed second voltage waveform data V3b both have Dn consecutive points of increase. If so, extract the first incremental point in the parsed first voltage waveform data V3a as the first signal starting point, extract the first incremental point in the parsed second voltage waveform data V3b as the second signal starting point, and extract the UTC time information corresponding to the signal starting point. Otherwise, re-acquire the first voltage waveform data and the second voltage waveform data, and determine the signal starting points of the first voltage waveform data and the second voltage waveform data.

5. The high-speed data recording and fault location method for broadband voltage measurement according to claim 4 is characterized in that, based on the corresponding relationship between clock count values and voltage waveform data and the signal starting point, dual storage channels are used to continuously capture transient voltage waveform data corresponding to the tower, including:

Obtaining a first clock count value ts1 corresponding to a starting point of the first signal and an idle storage channel in the dual storage channels, and capturing first transient voltage waveform data based on the first clock count value ts1 and through the idle storage channel. The capturing process comprises: determining a first sampling point corresponding to the first clock count value ts1 in the original first voltage waveform data, using the first sampling point as a starting point, collecting data for a time length of t2, and obtaining the first transient voltage waveform data;

The second clock count value ts2 corresponding to the starting point of the second signal and the idle storage channel in the dual storage channels are obtained. According to the second clock count value ts2, the second transient voltage waveform data is captured through the idle storage channel. The capture process is as follows: the second sampling point corresponding to the second clock count value ts1 is determined in the original second voltage waveform data, and the second sampling point is used as the starting point to collect data of a time length of t2 to obtain the second transient voltage waveform data.

6. The high-speed data recording and fault location method for broadband voltage measurement according to claim 1, wherein the energy value corresponding to the transient voltage waveform data is:

Where _Xe represents the energy value of the transient voltage waveform data corresponding to the tower, _Xi represents the voltage data corresponding to the i-th sampling point, and n represents the total number of sampling points.

7. The high-speed data recording and fault location method for broadband voltage measurement according to claim 1 , wherein the method comprises retrieving the associated data of four consecutive towers from the cloud in the order of UTC time information, performing fault location based on the four associated data, and obtaining a primary fault location result, including:

Retrieve four consecutive pieces of associated data from the cloud in the order of UTC time information. The positions corresponding to the four consecutive pieces of associated data are denoted as G0, G1, G2, and G3, respectively. The corresponding UTC time information is denoted as Tg0, Tg1, Tg2, and Tg3, and the corresponding energy values are denoted as _Xe0 , _Xe1 , _Xe2 , and _Xe3 .

Determine a first relationship among Tg0, Tg1, Tg2, and Tg3, determine a second relationship among _Xe0 , _Xe1 , _Xe2 , and _Xe3 , and determine whether the fault point is located between position G1 and position G2 or on position G2 based on the first relationship and the second relationship;

If the fault point is located between position G1 and position G2, a primary fault location result is determined according to position G1, position G2, UTC time information Tg1, and UTC time information Tg2.

8. The high-speed data recording and fault location method for broadband voltage measurement according to claim 7, wherein determining that the fault point is located between position G1 and position G2 based on the first relationship and the second relationship comprises:

A1. Determine whether Tg1≈Tg2<Tg3 and _Xe1≈Xe2 > _Xe3 exists. If so, determine that a fault exists and the fault point is between position G1 and position G2. Otherwise _, proceed to step A2.

A1. Determine whether Tg1≈Tg2<Tg03 and _Xe1≈Xe2 > _Xe0 _. If so, determine that a fault exists and the fault point is between position G1 and position G2. Otherwise, determine that the fault point is not between position G1 and position G2.

Here, ≈ means the difference between two data is within the set range.

9. The high-speed data recording and fault location method for broadband voltage measurement according to claim 8, wherein determining that the fault point is located at position G2 according to the first relationship and the second relationship comprises:

Determine whether Tg1≈Tg3<Tg02 and _Xe1≈Xe3 > _Xe2 _. If so, determine that a fault exists and the fault point is located at position G2. Otherwise, determine that the fault point is not located at position G2.

If the fault point is not located between position G1 and position G2 and is not located on position G2, four consecutive associated data are retrieved again to locate the fault.

10. The high-speed data recording and fault location method for broadband voltage measurement according to claim 8, wherein determining a primary fault location result based on the position G1, the position G2, the UTC time information Tg1, and the UTC time information Tg2 comprises:

S＝S1+S2

S1/Tg1＝S2/Tg2

Where S represents the distance between position G1 and position G2, S1 represents the distance from the fault point to position G1, and S2 represents the distance from the fault point to position G2.