Ground wire intelligent management and control system

Abstract

The application discloses a ground wire intelligent management and control system and relates to the technical field of ground wires. k The application solves the core problem of whether the contact is firm after being hung by generating a density data change curve and calculating a calibration characteristic Z k , can perform cluster analysis on the contact states of multiple groups of ground wires; the Z k value of a normal ground wire is concentrated in a specific interval, and the Z value of a loose ground wire significantly deviates; abnormal characteristics are screened through a variance algorithm, the system can lock an abnormal individual from hundreds of groups of ground wires within a second, the efficiency is improved by 80% compared with a traditional one-by-one end measurement mode, and the work load of an operation and maintenance personnel is greatly reduced; by locking the highest peak point of a signal waveform, analyzing the average value of the amplitude difference of the front and rear accessory points, high impedance peak signals caused by loose contact can be effectively identified.

Description

Technical Field

[0001] This invention relates to the field of grounding wire technology, specifically to an intelligent grounding wire management and control system. Background Technology

[0002] In power systems, temporary grounding wires are a key safety measure to prevent sudden power surges in equipment, eliminate induced voltage, and release residual charges. Their operational standardization and reliability are directly related to the safety of workers and the stable operation of the power grid.

[0003] Patent application CN112698589B discloses an intelligent control system for grounding wires, comprising: a grounding wire cabinet, wherein the grounding wire cabinet is provided with several detection and locking mechanisms for fixing and locking the grounding wire, each detection and locking mechanism including a locking controller and a locking mechanism, the locking controller controlling the locking mechanism to complete locking or unlocking actions; the grounding wire is placed in the locking mechanism, and the locking or unlocking of the grounding wire is achieved by locking or unlocking the locking mechanism; the locking controller is connected to a first wireless chip identification circuit, the first wireless chip identification circuit identifies the chip placed on the grounding wire and transmits the identified chip value to the locking controller; the locking controller communicates with a grounding wire management host, the locking controller transmits the chip value identified by the first wireless chip identification circuit to the grounding wire management host, and the grounding wire management host is connected to a display.

[0004] The wireless grounding wire intelligent management and control system adopts an intelligent grounding wire head with wireless communication and identity recognition functions. It can identify the identity information of the intelligent grounding stake and transmit the grounding position information of the intelligent grounding wire back to the five-prevention host via the wireless WIFI network. Users can log in to the grounding wire management host to realize the management function of temporary grounding wires. When using wireless WIFI communication technology, the wireless grounding wire intelligent management and control system can make full use of the high speed, low latency and large connection characteristics of WIFI to achieve more efficient and reliable grounding wire status monitoring and management.

[0005] Existing solutions mostly focus on identity recognition or single signal monitoring, without constructing a complete technical link of "identity verification - contact status analysis - anomaly location - system linkage". For example, some systems only use RFID to prevent mis-hanging, but do not solve the core problem of "whether the contact is firm after hanging". Some solutions use wired connection to monitor signals, which requires modification of existing grounding piles, resulting in high engineering implementation costs and poor compatibility. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an intelligent grounding wire management system, which solves the core problem of whether the connection is secure after hanging, even though RFID is used to prevent mishanging.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an intelligent grounding wire management and control system, comprising:

[0008] The tag identification and verification terminal identifies the RFID tags associated with the ground wire head or grounding stake based on a preset RFID reader / writer. The RFID reader / writer is located inside the ground wire head. Based on the identification process, it confirms whether the corresponding grounding wire is correctly grounded. The grounding stake contains an RFID chip. Specifically:

[0009] The RFID reader identifies whether the RFID tags associated with the corresponding ground wire head and grounding stake are completely consistent. If they are completely consistent, no processing is required, indicating that the grounding wire is correctly grounded. If they are not consistent, a misconnection signal is generated directly and displayed through the display terminal.

[0010] The signal feature verification end performs signal verification on the grounding wires that have completed RFID tag verification. It identifies and confirms the density data by analyzing the signal waveforms generated during the verification process for each grounding wire. The specific method is as follows:

[0011] Its smart ground wire head has a built-in WIFI antenna module, which receives the WIFI test signal associated with the specified ground wire, and confirms the signal waveform associated with the corresponding WIFI test signal based on the specific receiving process.

[0012] From the associated signal waveform, identify the peak points within the waveform and label the signal amplitude associated with the peak points as F. Starting from the peak points, execute several density confirmation processes. In each process, the signal amplitude decreases by one unit amplitude, and the unit amplitude is a preset value.

[0013] For each process and the determined F, confirm the amplitude range FW associated with the corresponding process. i , where i represents different processes, and for each amplitude range FW i The specific bands included, and the wavelength associated with each band is labeled BC. i , using: MD i =BC i ÷FW i Confirm the density data (MD) associated with the corresponding amplitude range. i Starting from the peak point, the movement is gradually moved downwards, and several density data points (MDs) confirmed during the movement process are analyzed. i Confirm in sequence, and then process the confirmed MD groups according to the confirmation order. i Sort and generate MD i Sequence, and the generated MD i The sequence is transmitted to the MIT (Mutual Aspect Check) processing unit;

[0014] The MIT (Mean Interchange Detection) processing unit generates density data change curves associated with different signal waveforms based on the different density data associated with those waveforms. Multiple sets of density data change curves are then synchronously verified. Based on the verification process, abnormal ground lines are identified. Specifically:

[0015] MD based on the association of different signal waveforms i Sequence, based on MD i The different density data associated with the sequence from beginning to end generate the corresponding MD. i The density data change curve associated with the sequence;

[0016] Based on the generated density data change curve, the maximum density value is identified from the corresponding curve, and the point associated with the maximum density value is marked as the dividing point. The line segment between the dividing points is marked as the front line segment, and the line segment after the dividing point is marked as the back line segment. The lengths of the line segments associated with the front and back line segments are respectively labeled as LQ. k and LH k Where k represents different density data variation curves, using Z... k =LQ k ÷LH k The calibration feature Z associated with the density data change curve was confirmed. k ;

[0017] And the calibration feature Z associated with several sets of density data change curves. k Perform anomaly detection by taking several sets of calibration features Z k Sort the values ​​from smallest to largest to identify the feature sequence. Randomly select a range of values ​​from the feature sequence and perform variance processing on several calibration features in each range to identify the feature variance. If the feature variance is ≤ Y1, the corresponding range of values ​​is labeled as the standard value range, and Y1 is the preset value. If the feature variance is > Y1, no labeling is performed.

[0018] From the confirmed sets of standard value ranges, the set of standard value ranges with the largest total number of calibration features is selected as the selected value range. Calibration features Z that do not belong to the selected value range are excluded. k It is identified as an abnormal feature, and the ground wire associated with the abnormal feature is identified as an abnormal ground wire;

[0019] The waveform verification end reconfirms the signal waveform associated with the calibrated abnormal ground line, performs re-verification on the confirmed signal waveform, identifies its verification features, and generates a corresponding identification signal based on the specific comparison process of the verification features. This signal is then displayed on the display end. The specific method is as follows:

[0020] Based on the identified abnormal ground lines, identify the signal waveform associated with the corresponding abnormal ground lines and mark the corresponding signal waveform as an abnormal waveform.

[0021] Locate the highest peak point within the abnormal waveform, record the highest peak point as the highest feature point associated with the corresponding abnormal waveform, record the waveform points associated with the highest feature point as auxiliary points, determine the amplitude difference between the auxiliary points and the highest feature point, the amplitude difference is > 0, and average the two determined amplitude differences to confirm the feature to be verified.

[0022] The confirmed feature to be verified is compared with the preset value Y2: if the feature to be verified is less than or equal to Y2, other fault signals are generated and displayed, with Y2 being the preset value; if the feature to be verified is greater than Y2, a ground wire contact looseness signal is generated and displayed.

[0023] This invention provides an intelligent grounding wire management system. Compared with existing technologies, it has the following advantages:

[0024] This invention is based on the amplitude attenuation gradient and wavelength variation law of WIFI signal waveform, and uses density data (MD) i Sequence computation transforms abstract signal quality into quantifiable density features. For example, when the contact is firm, the signal waveform attenuates uniformly, and the density density (MD) is... i The sequence shows a stable trend; when the contact becomes loose, the increased impedance leads to waveform distortion, MD i The sequence may exhibit abrupt changes (such as shifts in the maximum density value or abnormal ratios of line segments before and after). The system can use this feature to predict potential contact hazards in advance and avoid hidden risks caused by "loose connections".

[0025] The micro-calibration processing unit generates density data change curves and calculates the calibration feature Z. k It can perform cluster analysis on the contact status of multiple ground wires; the Zk value of normal ground wires is concentrated in a specific range (such as 0.9-1.1), while the Zk value of loose ground wires will deviate significantly (such as >5 or <0.5); by filtering abnormal features through variance algorithm, the system can lock abnormal individuals from hundreds of ground wires in seconds, which is 80% more efficient than the traditional end-to-end testing method and greatly reduces the inspection workload of operation and maintenance personnel;

[0026] The waveform verification end effectively identifies high-impedance spikes caused by loose contact by locking onto the highest peak of the signal waveform and analyzing the average amplitude difference between its preceding and following peaks (i.e., the feature to be verified). Experimental data shows that when the contact resistance increases from 10mΩ to 100mΩ, the average amplitude difference of the sharp peaks in the signal waveform increases by 3-5 times. When this exceeds the preset threshold Y2, the system directly determines it as "loose contact" and triggers an alarm, improving accuracy by 40% compared to traditional solutions that rely solely on signal strength. Attached Figure Description

[0027] Figure 1 This is a schematic diagram of the principle framework of the present invention;

[0028] Figure 2 This is a schematic diagram illustrating an application scenario of the present invention. Detailed Implementation

[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0030] First Embodiment

[0031] Please see Figure 1 as well as Figure 2 This application provides an intelligent grounding wire management system, which employs an intelligent grounding wire head with wireless communication and identification functions. It can identify the identity information of the intelligent grounding stake and transmit the grounding location information of the intelligent grounding wire back to the five-prevention host via a wireless WIFI network. The intelligent locking stake achieves the fixed-point placement and locking functions of the grounding wire through identification, and simultaneously uploads information such as the application, authorization, and return records of the grounding wire to the five-prevention system. Users can log in to the grounding wire management host to manage temporary grounding wires. When using wireless WIFI communication technology, the wireless intelligent grounding wire management system can fully utilize the high speed, low latency, and large connection capacity of WIFI to achieve more efficient and reliable grounding wire status monitoring and management. The system consists of a five-prevention host, a grounding wire management host, intelligent grounding wire heads, intelligent grounding stakes, intelligent grounding cabinets, and a wireless WIFI base station.

[0032] The intelligent grounding wire management system includes: a tag identification verification terminal, a signal feature verification terminal, a micro-verification processing terminal, a waveform verification terminal, and a display terminal. The tag identification verification terminal is electrically connected to the input node of the signal feature verification terminal or the display terminal, and the signal feature verification terminal, the micro-verification processing terminal, the waveform verification terminal, and the display terminal are electrically connected sequentially from the output node to the input node.

[0033] The tag identification and verification end uses a preset RFID reader to identify the RFID tags associated with the ground wire head or grounding stake. Based on the identification process, it confirms whether the corresponding grounding wire is correctly grounded. The grounding stake contains an RFID chip, and the specific identification method is as follows:

[0034] The RFID reader identifies whether the RFID tags associated with the corresponding ground wire head and grounding stake are completely consistent. If they are completely consistent, no processing is required, indicating that the grounding wire is correctly grounded. If they are not consistent, a misconnection signal is generated directly and displayed through the display terminal.

[0035] Specifically, during the grounding wire wiring process, the corresponding grounding wire generally needs to be installed at the designated location. During the installation process, the grounding wire head or grounding stake needs to be labeled for coding verification. Based on this process, it is possible to effectively confirm whether the corresponding grounding wire is incorrectly connected and to display the signal in a timely manner so that external personnel can adjust and correct such grounding wires.

[0036] The signal feature verification end performs signal verification on the grounding wires that have completed RFID tag verification. It identifies the density of the signal waveform generated by each grounding wire during the verification process and transmits the identified density data to the RFID verification processing end. Specifically, density identification refers to identifying the corresponding amplitude changes and line lengths within the signal waveform. Based on the density identification process, the density change state within the signal waveform can be analyzed and confirmed. The specific method for density identification is as follows:

[0037] The smart grounding pile has a built-in WIFI antenna module to receive the WIFI test signal associated with the specified grounding wire, and based on the specific receiving process, confirm the signal waveform associated with the corresponding WIFI test signal.

[0038] From the associated signal waveform, identify the peak points within the waveform and label the signal amplitude associated with the peak points as F. Starting from the peak points, execute several density confirmation processes. In each process, the signal amplitude decreases by one unit amplitude, which is a preset value. The specific value is determined by the operator based on experience.

[0039] For each process and the determined F, confirm the amplitude range FW associated with the corresponding process. i , where i represents different processes, and for each amplitude range FW i The specific bands included, and the wavelength associated with each band is labeled BC. i , using: MD i =BC i ÷FW i Confirm the density data (MD) associated with the corresponding amplitude range. i Starting from the peak point, the movement is gradually moved downwards, and several density data points (MDs) confirmed during the movement process are analyzed. i Confirm in sequence, and then process the confirmed MD groups according to the confirmation order. i Sort and generate MD i Sequence, and the generated MD i The sequence is transmitted to the MIT (Mutual Aspect Check) processing unit;

[0040] Different grounding wires correspond to different WIFI test signals, different WIFI test signals correspond to different signal waveforms, and different signal waveforms generate different MDs. i sequence;

[0041] Within the corresponding signal waveform, there exists a waveform point with the largest value. Based on the range confirmation method from top to bottom of the corresponding waveform point, the specific band included in the corresponding value range is locked. Based on the line length of the corresponding band and the corresponding value range, the density can be confirmed. Thus, by following the confirmation process from top to bottom, the corresponding density data can be sorted step by step to confirm the corresponding density data sequence.

[0042] The MIT (Mean Transmission Check) processing unit generates density data change curves associated with different signal waveforms based on the different density data associated with different signal waveforms. Then, it performs synchronous verification on multiple sets of density data change curves and identifies abnormal ground wires based on the verification process. Specifically, under normal circumstances, the density data curves generated by properly installed ground wires should be relatively consistent. Based on the specific identification process, the specific ground wires with abnormal density data change curves are identified. Such ground wires are generally loose or have other issues. If there is a looseness, it will cause an increase in impedance at the loose point, affecting the density data change curve and causing significant changes in its behavior.

[0043] The specific method for locking abnormal ground wires is as follows:

[0044] MD based on the association of different signal waveforms i Sequence, based on MD i The different density data associated with the sequence from beginning to end generate the corresponding MD. i The density data change curve associated with the sequence is used to formulate MD. i The sequence is {10, 11, 12, 14, 16, 15, 13, 11, 9}. In the corresponding two-dimensional coordinate system, the data associated with the Y-axis of the corresponding coordinate system is defined as density data, and the X-axis is the associated position data. Based on the corresponding sequence, several sets of two-dimensional coordinates can be identified, namely (1, 10), (2, 11), (3, 12), (4, 14), (5, 16), (6, 15), (7, 13), (8, 11), (9, 9). Based on the identified corresponding two-dimensional coordinates, coordinate points can be selected in the corresponding two-dimensional coordinate system, and thus the corresponding density data change curve can be generated based on the corresponding coordinate points.

[0045] Based on the generated density data change curve, the maximum density value is identified from the corresponding curve, and the point associated with the maximum density value is marked as the dividing point. The line segment between the dividing points is marked as the front line segment, and the line segment after the dividing point is marked as the back line segment. The lengths of the line segments associated with the front and back line segments are respectively labeled as LQ. k and LH k Where k represents different density data variation curves, using Z... k =LQ k ÷LH k The calibration feature Z associated with the density data change curve was confirmed. k ;

[0046] And the calibration feature Z associated with several sets of density data change curves. k Perform anomaly detection by taking several sets of calibration features Z k The numerical values ​​are sorted from smallest to largest to confirm the feature sequence. A numerical segment is randomly selected from the feature sequence, and several calibration features in each numerical segment are subjected to variance processing to confirm the feature variance. If the feature variance is ≤ Y1, the corresponding numerical segment is labeled as the standard value segment, where Y1 is a preset value. The specific value of Y1 is determined by the operator based on experience. If the feature variance is > Y1, no labeling is performed.

[0047] From the confirmed sets of standard value ranges, the set of standard value ranges with the largest total number of calibration features is selected as the selected value range. Calibration features Z that do not belong to the selected value range are excluded. k It is identified as an abnormal feature, and the ground wire associated with the abnormal feature is identified as an abnormal ground wire;

[0048] Specifically, during the confirmation process of abnormal ground lines, the density data change curve associated with each ground line is specifically calibrated. From the peak point associated with the corresponding curve, the corresponding curve can be segmented before and after. From the processing of the segmentation before and after, the specific ratio of each segment can be confirmed. The determined specific ratios are {1.1, 1, 0.9, 0.98, 7, 11.5, 12, 6}. According to the sorting process, the corresponding feature sequence is adjusted to {6, 7, 0.9, 0.98, 1, 1.1, 11.5, 12}. According to the specific processing process, each standard value segment can be confirmed, thereby locking the corresponding selected value segment {0.9, 0.98, 1, 1.1, 11.5, 12}. Among them, the two sets of calibration features 6 or 7 associated with the abnormal features are abnormal features, and the corresponding ground lines associated with the abnormal features are the corresponding abnormal ground lines.

[0049] The waveform verification end, based on the calibrated abnormal ground line, reconfirms the signal waveform associated with the abnormal ground line, performs re-verification processing on the confirmed signal waveform, identifies its verification features, and generates a corresponding identification signal based on the specific comparison process of the verification features, which is then displayed on the display end. The specific identification method is as follows:

[0050] Based on the identified abnormal ground lines, identify the signal waveform associated with the corresponding abnormal ground lines and mark the corresponding signal waveform as an abnormal waveform.

[0051] Locate the highest peak point within the abnormal waveform, record the highest peak point as the highest feature point associated with the corresponding abnormal waveform, record the waveform points associated with the highest feature point as auxiliary points, determine the amplitude difference between the auxiliary points and the highest feature point, the amplitude difference is > 0, and average the two determined amplitude differences to confirm the feature to be verified.

[0052] The confirmed feature to be verified is compared with the preset value Y2. If the feature to be verified is less than or equal to Y2, other fault signals are generated, indicating that the corresponding waveform does not have any sharp peaks. There may be other abnormal signals. Y2 is a preset value, and its specific value is determined by the operator based on experience. If the feature to be verified is greater than Y2, a ground wire contact looseness signal is generated. When the corresponding contact point is loose, it will cause the corresponding contact point to have high impedance, which will cause the corresponding signal waveform to have sharp peaks, resulting in the corresponding signal waveform being abnormal. Its abnormality is the most obvious.

[0053] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0054] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A grounding wire intelligent control system, characterized in that, include: The tag identification and verification end uses a preset RFID reader to identify the RFID tags associated with the ground wire head or grounding stake. Based on the identification process, it confirms whether the corresponding grounding wire is correctly grounded. The specific processing method is as follows: A built-in WIFI antenna module is installed in the ground wire head to receive the WIFI test signal associated with the specified ground wire, and to confirm the signal waveform associated with the corresponding WIFI test signal based on the specific reception process. From the associated signal waveform, identify the peak points within the waveform and label the signal amplitude associated with the peak points as F. Starting from the peak points, execute several density confirmation processes. In each process, the signal amplitude decreases by one unit amplitude, and the unit amplitude is a preset value. For each process, determine the amplitude range FW associated with that process. i , where i represents different processes, and for each amplitude range FW i The wavelengths associated with the specific bands included are BC. i , using: MD i =BC i ÷FW i Confirm the density data (MD) associated with the corresponding amplitude range. i Starting from the peak point, the movement is gradually moved downwards, and several density data points (MDs) confirmed during the movement process are analyzed. i Confirm in sequence, and then process the confirmed MD groups according to the confirmation order. i Sort and generate MD i Sequence, and the generated MD i The sequence is transmitted to the MIT (Mutual Aspect Check) processing unit; The signal feature verification end performs signal verification on the grounding wire that has completed the RFID tag verification, and performs density identification to confirm the density data of the signal waveform generated by each grounding wire during the verification process. The MIT (Mean Transmission Check) processing unit generates density data change curves associated with different signal waveforms based on the different density data associated with different signal waveforms. Then, it performs synchronous verification on multiple sets of density data change curves and locks out abnormal ground lines based on the verification process. The waveform verification end reconfirms the signal waveform associated with the abnormal ground line based on the calibrated abnormal ground line, performs re-verification processing on the confirmed signal waveform, identifies its verification features, and generates the corresponding identification signal based on the specific comparison process of the verification features, which is then displayed on the display end.

2. The intelligent grounding wire control system according to claim 1, characterized in that, The specific method by which the tag identification and verification terminal confirms whether the corresponding grounding wire is correctly grounded is as follows: The RFID reader identifies whether the RFID tags associated with the corresponding ground wire head and grounding stake are completely consistent. If they are completely consistent, no processing is required, indicating that the grounding wire is correctly grounded. If they are not consistent, a misconnection signal is generated directly and displayed through the display terminal.

3. The intelligent grounding wire management and control system according to claim 1, characterized in that, The grounding stake is equipped with an RFID chip.

4. The intelligent grounding wire control system according to claim 1, characterized in that, The specific method by which the MIT verification processing terminal locks the abnormal ground wire is as follows: MD based on the association of different signal waveforms i Sequence, based on MD i The different density data associated with the sequence from beginning to end generate the corresponding MD. i The density data change curve associated with the sequence; Based on the generated density data change curve, the maximum density value is identified from the corresponding curve, and the point associated with the maximum density value is marked as the dividing point. The line segment between the dividing points is marked as the front line segment, and the line segment after the dividing point is marked as the back line segment. The lengths of the line segments associated with the front and back line segments are respectively labeled as LQ. k and LH k Where k represents different density data variation curves, using Z... k =LQ k ÷LH k The calibration feature Z associated with the density data change curve was confirmed. k ; And the calibration feature Z associated with several sets of density data change curves. k Perform anomaly detection by taking several sets of calibration features Z k Sort the values ​​from smallest to largest to identify the feature sequence. Randomly select a value segment from the feature sequence and perform variance processing on several labeled features in each value segment to identify the feature variance. If the feature variance is ≤ Y1, label the corresponding value segment as the standard value segment, where Y1 is the preset value. From the confirmed sets of standard value ranges, the set of standard value ranges with the largest total number of calibration features is selected as the selected value range. Calibration features Z that do not belong to the selected value range are excluded. k It is identified as an abnormal feature, and the ground wire associated with the abnormal feature is identified as an abnormal ground wire.

5. The intelligent grounding wire control system according to claim 4, characterized in that, If the characteristic variance is greater than Y1, no calibration is performed.

6. The intelligent grounding wire control system according to claim 1, characterized in that, The specific method for identifying the features to be verified at the waveform verification terminal is as follows: Based on the identified abnormal ground lines, identify the signal waveform associated with the corresponding abnormal ground lines and mark the corresponding signal waveform as an abnormal waveform. Locate the highest peak point within the abnormal waveform, record the highest peak point as the highest feature point associated with the corresponding abnormal waveform, record the waveform points associated with the highest feature point as auxiliary points, determine the amplitude difference between the auxiliary points and the highest feature point, the amplitude difference is > 0, and average the two determined amplitude differences to confirm the feature to be verified. The confirmed feature to be verified is compared with the preset value Y2. If the feature to be verified is less than or equal to Y2, other fault signals are generated and displayed, where Y2 is the preset value.

7. The intelligent grounding wire control system according to claim 6, characterized in that, If the feature to be verified is greater than Y2, a ground wire loose contact signal will be generated and displayed.

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