Ground wire intelligent management and control system

Abstract

The invention discloses an intelligent management and control system for ground wires, relates to the technical field of ground wires, solves the core problem that wrong hanging is prevented only through RFID but whether contact is firm after hanging is not solved, and can perform cluster analysis on contact states of multiple groups of ground wires by generating a density data change curve and calculating a calibration feature Zk; zk values of normal ground wires are concentrated in a specific interval, and Zk values of loose ground wires are obviously deviated; abnormal features are screened through a variance algorithm, the system can lock abnormal individuals from hundreds of groups of ground wires within second-level time, the efficiency is improved by 80% compared with a traditional one-by-one end measurement mode, and the patrol workload of operation and maintenance personnel is greatly reduced; by locking the highest peak point of the signal waveform and analyzing the mean value of the amplitude difference of the front and back affiliated points, the high-impedance peak signal caused by contact looseness can be effectively identified.

Description

Technical Field

[0001] The present invention relates to the technical field of grounding wires, and in particular to an intelligent grounding wire management and control system. Background Art

[0002] In power systems, temporary grounding wires are a key safety measure to prevent sudden power outages on equipment, eliminate induced voltages, and release residual charges. Their operational compliance and reliability are directly related to the safety of workers and the stable operation of the power grid. Patent publication number CN112698589B discloses an intelligent management and control system for grounding wires, including: a grounding cabinet, in which a number of detection and locking mechanisms for fixing and locking the grounding wires are arranged, the detection and locking mechanisms including a locking controller and a locking mechanism, the locking controller controlling the locking mechanism to complete the locking or unlocking action; the grounding wire is placed in the locking mechanism, and the locking or unlocking of the docking wire is achieved by locking or unlocking the locking mechanism; the locking controller is connected to a first wireless code chip recognition circuit, the first wireless code chip recognition circuit recognizes the code chip set on the grounding wire, and transmits the recognized code chip value to the locking controller; the locking controller communicates with a grounding management host, and the locking controller transmits the code chip value recognized by the first wireless code chip recognition circuit to the grounding management host, and the grounding management host is connected to a display.

[0003] The wireless ground wire intelligent management and control system uses an intelligent ground wire head with wireless communication and identity recognition functions. It can identify the identity information of the intelligent grounding pile and transmit the grounding position information of the intelligent ground wire to the five-defense host via the wireless WIFI network. Users can log in to the ground wire management host to realize the management function of the temporary ground wire. When using wireless WIFI communication technology, the wireless ground wire intelligent management and control system can fully utilize the high speed, low latency and large connection characteristics of WIFI to achieve more efficient and reliable ground wire status monitoring and management. Existing solutions mostly focus on identity recognition or single signal monitoring, and have not built a complete technical chain of "identity verification-contact status analysis-abnormal positioning-system linkage"; for example, some systems only use RFID to prevent wrong hanging, but do not solve the core problem of "whether the contact is firm after hanging"; some solutions use wired connection monitoring signals, which requires the modification of existing grounding piles, resulting in high project implementation costs and poor compatibility. Summary of the Invention

[0004] In response to the shortcomings of the existing technology, the present invention provides an intelligent grounding wire management and control system, which solves the problem of preventing wrong hanging by RFID but does not solve the core problem of "whether the contact is firm after hanging".

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a grounding wire intelligent management and control system, comprising: The tag identification and verification end identifies the RFID tag associated with the ground wire head or grounding pile based on a preset RFID reader. The RFID reader is set in the ground wire head. Based on the identification process, it is confirmed whether the corresponding ground wire is grounded correctly. The grounding pile is provided with an RFID code chip. The specific method is as follows: The RFID reader / writer identifies whether the RFID tags associated with the corresponding ground wire head and the grounding pile are completely consistent. If they are completely consistent, no processing is required, indicating that the ground wire is grounded correctly. If they are not consistent, a wrong connection signal is directly generated and displayed on the display terminal. The signal feature verification end performs signal verification on the ground wires that have completed RFID tag verification, and performs density identification on the signal waveform generated by each ground wire during the verification process to confirm the density data. The specific method is as follows: Its intelligent ground wire head has a built-in WIFI antenna module to receive the WIFI test signal associated with the specified ground wire, and based on the specific reception process, it determines the signal waveform associated with the corresponding WIFI test signal; From the associated signal waveform, identify the peak point in the waveform, and calibrate the signal amplitude associated with the peak point as F. Perform several density confirmation processes starting from the peak point. In each process, the signal amplitude is reduced by a unit amplitude, and the unit amplitude is a preset value. Confirm the amplitude range FW associated with each process and the determined F 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 calibrated as 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 and moving downward step by step, several density data MD confirmed in the moving process i Confirm in sequence and send the confirmed groups of MDs according to the confirmation order i Sort and generate MD i sequence, and the generated MD i The sequence is transmitted to the MITRE verification processing terminal; The Miter verification processing end generates density data change curves associated with the corresponding signal waveforms based on the different density data associated with different signal waveforms. It then performs synchronous verification on multiple sets of density data change curves and locks the abnormal ground wire based on the verification process. The specific method is as follows: MD based on correlation between different signal waveforms iSequence, based on MD i The different density data associated with the sequence from front to back generate the corresponding MD i Density data change curve associated with the sequence; Based on the generated density data change curve, the maximum density value is locked from the corresponding curve, and the point associated with the maximum density value is recorded as the segmentation point, the part of the line segment between the segmentation points is recorded as the front line segment, and the part of the line segment after the segmentation point is recorded as the back line segment. The line lengths associated with the front line segment and the back line segment are marked as LQ respectively. k and LH k , where k represents different density data change curves, using Z k =LQ k ÷LH k Confirm the calibration feature Z associated with the density data change curve k ; And the calibration features Z associated with several sets of density data change curves k Perform abnormality check and set several groups of calibration features Z k Sort the values ​​from small to large to confirm the feature sequence, randomly select a value segment from the feature sequence, and perform variance processing on several calibration features in each value segment to confirm the feature variance. If the feature variance is ≤ Y1, the corresponding value segment is calibrated as the standard value segment, where Y1 is the preset value. If the feature variance is greater than Y1, no calibration is performed. From the confirmed groups of standard value segments, select the group of standard value segments with the largest number of calibration features as the selected value segment, and the calibration features Z that do not belong to the selected value segment k Marking it as an abnormal feature, and marking the ground line associated with the abnormal feature as an abnormal ground line; The waveform verification end reconfirms the signal waveform associated with the abnormal ground line according to the calibrated abnormal ground line, re-calibrates the confirmed signal waveform, identifies its features to be verified, and generates a corresponding identification signal based on the specific comparison process of the features to be verified, which is displayed on the display end. The specific method is as follows: Based on the calibrated abnormal ground line, confirming the signal waveform associated with the abnormal ground line, and calibrating the corresponding signal waveform as an abnormal waveform; The highest peak point is located within the abnormal waveform, and the highest peak point is recorded as the highest characteristic point associated with the corresponding abnormal waveform. The waveform points associated with the highest characteristic point before and after the highest characteristic point are recorded as auxiliary points. The amplitude difference associated with the auxiliary point and the highest characteristic point is determined. The amplitude difference is greater than 0, and the two sets of amplitude differences are averaged to confirm the feature to be verified. The confirmed feature to be verified is compared and verified with the preset value Y2: if the feature to be verified is ≤Y2, other fault signal displays are generated, where Y2 is the preset value; if the feature to be verified is >Y2, a ground wire contact loose signal display is generated.

[0006] The present invention provides an intelligent grounding wire management and control system. Compared with the existing technology, it has the following advantages: The present invention is based on the amplitude attenuation gradient and wavelength variation law of the WIFI signal waveform, and uses density data MD i The calculation of the sequence transforms the abstract signal quality into a quantifiable density feature. For example, when the contact is firm, the signal waveform decays evenly, and the MD i The sequence shows a stable trend; when the contact is loose, the impedance increases, causing waveform distortion, MD i The sequence may experience mutations (such as a shift in the maximum density or an abnormal ratio of the front and back segments). The system can use this feature to predict contact hazards in advance and avoid hidden risks caused by "false connections"; The Miter calibration processing end generates a density data change curve and calculates the calibration feature Z k , cluster analysis can be performed on the contact status of multiple groups of ground cables. The Zk values ​​of normal ground cables are concentrated in a specific range (such as 0.9-1.1), while the Zk values ​​of loose ground cables will deviate significantly (such as >5 or <0.5). By using a variance algorithm to filter abnormal characteristics, the system can identify abnormal individuals from hundreds of ground cables within seconds, improving efficiency by 80% compared to traditional end-by-end testing, significantly reducing the inspection workload of operation and maintenance personnel. The waveform verification terminal locates the highest peak point in the signal waveform and analyzes the average amplitude difference between the preceding and following points (the feature to be verified). This effectively identifies high-impedance spikes caused by loose contact. Experimental data shows that when the contact resistance increases from 10mΩ to 100mΩ, the average amplitude difference of the signal waveform's sharp peaks increases by 3-5 times. When this exceeds the preset threshold Y2, the system directly identifies "loose contact" and issues an alarm. This improves accuracy by 40% compared to traditional solutions that rely solely on signal strength. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 This is a schematic diagram of the principle framework of the present invention; Figure 2 Schematic diagram of the application scenario of the present invention. DETAILED DESCRIPTION

[0008] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0009] First embodiment

[0010] See also Figure 1 as well as Figure 2 , this application provides a grounding wire intelligent management and control system, which adopts an intelligent grounding wire head with wireless communication and identity recognition functions, which can identify the identity information of the intelligent grounding pile, and transmit the grounding position information of the intelligent grounding wire to the five-defense host through the wireless WIFI network; the intelligent locking pile realizes the fixed-point placement and locking function of the grounding wire through identity recognition, and uploads the application, authorization and return records of the grounding wire to the five-defense system. Users can realize the management function of temporary grounding wires by logging into the ground wire management host. When using wireless WIFI communication technology, the wireless ground 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 ground wire status monitoring and management. It consists of a five-defense host, a ground wire management host, an intelligent ground wire head, an intelligent ground wire pile, an intelligent ground wire cabinet, a wireless WIFI base station, etc. The ground wire intelligent management and control system includes: a tag identification and verification terminal, a signal feature verification terminal, a MITRE verification processing terminal, a waveform verification terminal, and a display terminal, wherein the tag identification and verification terminal is electrically connected to the signal feature verification terminal or the display terminal input node, and the signal feature verification terminal, the MITRE verification processing terminal, the waveform verification terminal, and the display terminal are electrically connected in sequence from the output node to the input node; Among them, the tag identification and verification end identifies the RFID tag associated with the ground wire head or grounding pile based on a preset RFID reader, and confirms whether the corresponding ground wire is grounded correctly based on the identification process. The grounding pile is equipped with an RFID code chip, and the specific method of identification is as follows: The RFID reader / writer identifies whether the RFID tags associated with the corresponding ground wire head and the grounding pile are completely consistent. If they are completely consistent, no processing is required, indicating that the ground wire is grounded correctly. If they are not consistent, a wrong connection signal is directly generated and displayed on the display terminal. Specifically, during the grounding wire wiring process, it is generally necessary to install the corresponding grounding wire at the designated location. During the installation process, the grounding wire head or grounding stake needs to be labeled and identified for coding verification. Based on this process, it is possible to effectively confirm whether the corresponding grounding wire is connected incorrectly, and timely display the signal for external personnel to adjust and correct such grounding wires. Among them, the signal feature verification end performs signal verification on the ground wires that have completed RFID tag verification, performs density recognition on the signal waveform generated by each ground wire during the verification process, and transmits several sets of recognized density data to the MIT verification processing end. Specifically, the so-called density recognition is to identify the corresponding amplitude changes and specific line lengths in the corresponding signal waveform. Based on the corresponding density recognition process, the density change state in the signal waveform can be analyzed and confirmed. The specific method of density recognition is as follows: A Wi-Fi antenna module is built into the smart grounding pile to receive the Wi-Fi test signal associated with the designated grounding wire and, based on the specific reception process, determine the signal waveform associated with the corresponding Wi-Fi test signal. From the associated signal waveform, identify the peak point in the waveform and calibrate the signal amplitude associated with the peak point as F. Starting from the peak point, perform several density confirmation processes. In each process, the signal amplitude is reduced by a unit amplitude. The unit amplitude is a preset value, and its specific value is determined by the operator based on experience. Confirm the amplitude range FW associated with each process and the determined F 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 calibrated as 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 and moving downward step by step, several density data MD confirmed in the moving process i Confirm in sequence and send the confirmed groups of MDs according to the confirmation order i Sort and generate MD i sequence, and the generated MD i The sequence is transmitted to the MITRE verification processing terminal; Different ground wires correspond to different WIFI test signals, different WIFI test signals correspond to different signal waveforms, and different signal waveforms generate corresponding different MDs. i sequence; In the corresponding signal waveform, there is a waveform point with the largest value. According to the range confirmation method of the corresponding waveform point from top to bottom, the specific band included in the corresponding numerical range is locked. According to the line length of the corresponding band and the corresponding numerical range, the density can be confirmed. Therefore, according to the confirmation process from top to bottom, the corresponding density data can be gradually sorted to confirm the corresponding density data sequence.

[0011] Among them, the Miter verification processing end generates a density data change curve associated with the corresponding signal waveform based on different density data associated with different signal waveforms, and then synchronously verifies multiple sets of density data change curves. Based on the verification process, the abnormal ground wire is locked. Specifically, under normal circumstances, the density data curves generated between normally installed ground wires should be relatively consistent. Based on the specific identification process, the specific ground wire with abnormal density data change curve is locked. Such ground wires are generally loose or have other conditions. If there is a specific loose condition, the impedance of the corresponding loose place will increase, affecting the large change behavior of its density data change curve. The specific method of locking the abnormal ground wire is as follows: MD based on correlation between different signal waveforms i Sequence, based on MD i The different density data associated with the sequence from front to back generate the corresponding MD i Density data change curve associated with the sequence, MD i The sequence is {10, 11, 12, 14, 16, 15, 13, 11, 9}, then 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 its X-axis is defined as the associated position data. According to the corresponding sequence, several groups of two-dimensional coordinates can be confirmed, namely (1, 10), (2, 11), (3, 12), (4, 14), (5, 16), (6, 15), (7, 13), (8, 11), (9, 9). According to the confirmed corresponding two-dimensional coordinates, coordinate points can be selected in the corresponding two-dimensional coordinate system, so that the corresponding density data change curve can be generated based on the corresponding coordinate points. Based on the generated density data change curve, the maximum density value is locked from the corresponding curve, and the point associated with the maximum density value is recorded as the segmentation point, the part of the line segment between the segmentation points is recorded as the front line segment, and the part of the line segment after the segmentation point is recorded as the back line segment. The line lengths associated with the front line segment and the back line segment are marked as LQ respectively. k and LH k , where k represents different density data change curves, using Z k =LQ k ÷LH k Confirm the calibration feature Z associated with the density data change curve k ; And the calibration features Z associated with several sets of density data change curves k Perform abnormality check and set several groups of calibration features Z kSort the values ​​from small to large to confirm the feature sequence, randomly select a value segment from the feature sequence, and perform variance processing on several calibration features in each value segment to confirm the feature variance. If the feature variance is ≤ Y1, the corresponding value segment is calibrated as the standard value segment, where Y1 is a preset value. The specific value is determined by the operator based on experience. If the feature variance is greater than Y1, no calibration is performed. From the confirmed groups of standard value segments, select the group of standard value segments with the largest number of calibration features as the selected value segment, and the calibration features Z that do not belong to the selected value segment k Marking it as an abnormal feature, and marking the ground line associated with the abnormal feature as an abnormal ground line; Specifically, in the confirmation process of the abnormal ground line, 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 divided into front and back segments. From the front and back segmentation processing process, the specific ratio of each segment can be confirmed. The proposed several groups of 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 associated groups of calibration features 6 or 7 are abnormal features, and the corresponding ground lines associated with their abnormal features belong to the corresponding abnormal ground lines.

[0012] The waveform verification end reconfirms the signal waveform associated with the abnormal ground line according to the calibrated abnormal ground line, re-calibrates the confirmed signal waveform, identifies its features to be verified, and generates a corresponding identification signal based on the specific comparison process of the features to be verified, which is displayed on the display end. The specific method of identification is as follows: Based on the calibrated abnormal ground line, confirming the signal waveform associated with the abnormal ground line, and calibrating the corresponding signal waveform as an abnormal waveform; The highest peak point is located within the abnormal waveform, and the highest peak point is recorded as the highest characteristic point associated with the corresponding abnormal waveform. The waveform points associated with the highest characteristic point before and after the highest characteristic point are recorded as auxiliary points. The amplitude difference associated with the auxiliary point and the highest characteristic point is determined. The amplitude difference is greater than 0, and the two sets of amplitude differences are averaged to confirm the feature to be verified. The confirmed feature to be checked is compared with the preset value Y2: if the feature to be checked is ≤Y2, other fault signal displays are generated, indicating that the corresponding waveform does not have any sharp peaks, and 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 checked is >Y2, a loose ground contact signal display is generated. When the corresponding contact point is loose, high impedance will occur at the corresponding contact point, resulting in sharp peaks in the corresponding signal waveform, causing abnormal conditions in the corresponding signal waveform, and its abnormal feature is the most obvious.

[0013] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0014] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The intelligent grounding wire management and control system is characterized by: include: The tag identification and verification end uses a preset RFID reader to identify the RFID tag associated with the ground wire head or grounding stake, and based on the identification process, confirms whether the corresponding ground wire is grounded correctly; The signal feature verification end performs signal verification on the ground wires that have completed RFID tag verification, and performs density identification on the signal waveform generated by each ground wire during the verification process to confirm the density data; The Miter verification processing end generates density data change curves associated with the corresponding signal waveforms based on the different density data associated with different signal waveforms. It then performs synchronous verification on multiple sets of density data change curves and locks the abnormal ground wire 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, re-calibrates the confirmed signal waveform, identifies its features to be verified, and generates a corresponding identification signal based on the specific comparison process of the features to be verified, which is displayed through the display end.

2. The intelligent grounding wire management and control system according to claim 1, characterized in that: The tag identification verification terminal checks whether the grounding wire is correctly grounded in the following specific ways: The RFID reader / writer identifies whether the RFID tags associated with the corresponding ground wire head and the grounding pile are completely consistent. If they are completely consistent, no processing is required, which means that the grounding wire is grounded correctly. If they are not consistent, a wrong connection signal is directly generated and the generated wrong connection signal is displayed through the display terminal.

3. The intelligent grounding wire management and control system according to claim 1, characterized in that: The signal feature verification end performs density recognition on the signal waveform in the following manner: A Wi-Fi antenna module is built into the smart ground wire head to receive the Wi-Fi test signal associated with the designated ground wire and, based on the specific receiving process, determine the signal waveform associated with the corresponding Wi-Fi test signal; From the associated signal waveform, identify the peak point in the waveform, and calibrate the signal amplitude associated with the peak point as F. Perform several density confirmation processes starting from the peak point. In each process, the signal amplitude is reduced by a unit amplitude, and the unit amplitude is a preset value. 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 calibrated as 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 and moving downward step by step, several density data MD confirmed in the moving process i Confirm in sequence and send the confirmed groups of MDs according to the confirmation order i Sort and generate MD i sequence, and the generated MD i The sequence is transmitted to the cipher verification processing end.

4. The intelligent grounding wire management and control system according to claim 1, characterized in that: An RFID code chip is arranged in the grounding pile.

5. The intelligent grounding wire management and control system according to claim 1, characterized in that: The specific method of locking the abnormal ground wire at the Mitre verification processing end is as follows: MD based on correlation between different signal waveforms i Sequence, based on MD i The different density data associated with the sequence from front to back generate the corresponding MD i Density data change curve associated with the sequence; Based on the generated density data change curve, the maximum density value is locked from the corresponding curve, and the point associated with the maximum density value is recorded as the segmentation point, the part of the line segment between the segmentation points is recorded as the front line segment, and the part of the line segment after the segmentation point is recorded as the back line segment. The line lengths associated with the front line segment and the back line segment are marked as LQ respectively. k and LH k , where k represents different density data change curves, using Z k =LQ k ÷LH k Confirm the calibration feature Z associated with the density data change curve k ; And the calibration features Z associated with several sets of density data change curves k Perform abnormality check and set several groups of calibration features Z k Sort the values ​​from small to large to confirm the feature sequence, randomly select a value segment from the feature sequence, and perform variance processing on several calibration features in each value segment to confirm the feature variance. If the feature variance is ≤ Y1, the corresponding value segment is calibrated as the standard value segment, where Y1 is the preset value. From the confirmed groups of standard value segments, select the group of standard value segments with the largest number of calibration features as the selected value segment, and the calibration features Z that do not belong to the selected value segment k It is marked as an abnormal feature, and the ground line associated with the abnormal feature is marked as an abnormal ground line.

6. The intelligent grounding wire management and control system according to claim 5, characterized in that: If the feature variance is greater than Y1, no calibration is performed.

7. The intelligent grounding wire management and control system according to claim 1, characterized in that: The waveform verification end identifies the features to be verified in the following specific manner: Based on the calibrated abnormal ground line, confirming the signal waveform associated with the abnormal ground line, and calibrating the corresponding signal waveform as an abnormal waveform; The highest peak point is located within the abnormal waveform, and the highest peak point is recorded as the highest characteristic point associated with the corresponding abnormal waveform. The waveform points associated with the highest characteristic point before and after the highest characteristic point are recorded as auxiliary points. The amplitude difference associated with the auxiliary point and the highest characteristic point is determined. The amplitude difference is greater than 0, and the two sets of amplitude differences are averaged 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 ≤ Y2, other fault signal displays are generated, where Y2 is the preset value.

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

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