Rapid feedback maintenance system and method for power distribution network

Abstract

The invention discloses a power distribution network rapid feedback maintenance system and a method thereof, belongs to the technical field of power system fault detection and processing, and solves the problems that in an existing power distribution monitoring system, processing is not accurate when a detected fault is fed back, environmental factor interference during field detection is not considered, effective judgment measures do not exist, and the detection efficiency is high. And the problem of inaccurate maintenance work feedback is solved. The method mainly comprises the following steps: acquiring monitored current parameters and meteorological parameters, and performing data preprocessing; performing time point matching on the uploaded data, dividing time periods according to a preset time threshold, and calculating an average value of parameter information in the same time period; setting a current value range of each monitoring terminal; comparing the current value detected in real time with a preset current value range; corresponding treatment measures are taken; and maintaining. According to the invention, by obtaining the current parameters and the meteorological parameters, the integrity and accuracy of the data are ensured, the comprehensive evaluation of the fault condition is facilitated, and the reliability and accuracy of subsequent analysis are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system fault detection and processing, and in particular to a distribution network rapid feedback maintenance system and method thereof. Background Art

[0002] In the current distribution network, due to the influence of production and construction processes and other factors, electrical phenomena such as arcs often occur on overhead lines. These arcs may cause local tree branch discharges or cause instantaneous current amplification, posing a threat to power equipment and even causing casualties. Existing technical means are difficult to detect and predict such arc phenomena in advance, especially in the early stages of arc faults. Because they are not easy to detect, they are often ignored, resulting in problems such as difficult fault detection and untimely maintenance. At present, the detection methods for arc faults include infrared imager detection, sensor detection and software analysis. For example, the application with publication number CN108008259A discloses a detection method based on the integration of infrared ultraviolet and visible light image fusion, but these methods have their own limitations, such as high cost, low efficiency, and complex operation. During the maintenance process, power companies face problems such as cumbersome repair reporting procedures and the inability to track maintenance information in real time. There is an urgent need to develop an automatic analysis and processing method that can quickly feedback maintenance notifications. Summary of the invention

[0003] The purpose of the present invention is to provide a distribution network rapid feedback maintenance system and method thereof, so as to solve the problems in the existing distribution monitoring system when the feedback of the detected fault is inaccurate, and the interference of environmental factors during on-site detection is not considered, there is no effective judgment measure, and the feedback of maintenance work is inaccurate.

[0004] The present invention is achieved through the following technical solutions:

[0005] A distribution network rapid feedback maintenance method, comprising:

[0006] Step S1: Obtain current parameters and meteorological parameters uploaded by the monitoring terminal and perform data preprocessing;

[0007] Step S2: Time-matching the uploaded data, dividing the time periods according to the preset time threshold, and calculating the average value of the parameter information in the same time period;

[0008] Step S3: setting the current value range of the normal operation state, abnormal operation state and serious fault state of each monitoring terminal;

[0009] Step S4: comparing the real-time detected current value with a preset current value range to determine the extent of the arc fault;

[0010] Step S5: taking corresponding treatment measures according to the degree of the fault;

[0011] Step S6: The fault information is uniformly reported through the customer service center, and the maintenance work order is automatically sent to the maintenance personnel. The maintenance personnel will feedback the maintenance information after the maintenance is completed.

[0012] Furthermore, it also includes automatically analyzing the severity of the arc fault in the server, and making a unified repair report based on the analysis results, automatically sending a work order to the corresponding personnel, and the maintenance personnel perform maintenance according to the work order and feedback the maintenance completion information in the server.

[0013] Furthermore, the data preprocessing in step S1 includes eliminating abnormal data and supplementing missing data.

[0014] Furthermore, in step S3, the current value range is set based on historical data statistics.

[0015] Furthermore, in step S4, the specific criteria for determining the degree of the arc fault are:

[0016] The current value range of normal operating state is 5-15A; when the current value is within the normal operating state range, it is judged as a slight arc;

[0017] The current value range of abnormal operation state is 15-30A; when the current value is within the abnormal operation state range, it is judged as the intermediate state of arc fault;

[0018] The current value range of the severe fault state is greater than 30A; when the current value is within the severe fault state range, it is determined to be a severe arc fault state.

[0019] Furthermore, in step S5, the processing measures include: for a minor arc, sending a reminder notification; for an intermediate state of an arc fault, troubleshooting the transformer to which the terminal is connected, and at the same time providing a unified repair notification for the fault information, and the repair personnel provide repair services based on the state; for a serious arc fault, immediately cut off power and dispatch maintenance personnel for emergency processing.

[0020] Furthermore, in step S6, when the maintenance personnel are performing maintenance, the maintenance process is monitored in real time to ensure that the maintenance task is completed on time, and the maintenance results are recorded; the equipment after maintenance is reviewed and the equipment status information is updated.

[0021] A distribution network rapid feedback maintenance system comprises: a first acquisition module, used to acquire monitoring terminal detection parameter information and perform data preprocessing;

[0022] The second acquisition module is used to obtain the data time point uploaded by the monitoring terminal and match it with the corresponding date and time point in the database, divide the time period according to the preset time threshold, and calculate the average value of the parameter information in the same time period as the actual detection value;

[0023] A setting module, used to pre-set the current value of each monitoring terminal under normal operating state as a set value, and set the normal operating mode to the first group, set the current value under abnormal operating state to the second group, and set the serious abnormal fault value to the third group;

[0024] A comparison module is used to compare the current value of each period of normal operation in each group of fault characteristic values ​​with the first group one by one with the preset relevant characteristic values ​​in the database to determine the extent of the arc fault;

[0025] The processing module is used to take corresponding processing measures according to the judgment result of the judgment module;

[0026] Repair reporting module, used to report fault information to the customer service center and automatically send work orders to maintenance personnel;

[0027] The feedback module is used to receive maintenance completion information fed back by maintenance personnel and record maintenance results.

[0028] Further, the server module is used to judge the result of the analysis and judgment module;

[0029] The recording module is used to record the processing process of each terminal within a preset time period and determine the repair status of the corresponding terminal.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] The present invention ensures the integrity and accuracy of data by acquiring current parameters and meteorological parameters, which helps to comprehensively evaluate fault conditions, eliminate abnormal data and supplement missing data, thereby improving the reliability and accuracy of subsequent analysis; through time point matching and time period division, the time accuracy of data is ensured, which helps to discover short-term anomalies; by setting a clear current value range, standardized judgment of fault status is achieved, thereby improving the accuracy and consistency of judgment.

[0032] The invention realizes unified repair reporting of terminals, is conducive to unified fault inspection and repair, is conducive to the power supply company providing maintenance technical guidance based on the data uploaded by the terminals, provides fault analysis guidance to the staff, is conducive to shortening the emergency repair time and improving the power supply efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by ordinary technicians in this field without making creative work should all fall within the scope of protection of this application. In addition, the directional words mentioned in the following embodiments, such as "up", "down", "left", "right", etc., are only reference to the directions of the accompanying drawings. Therefore, the directional words used are used to illustrate rather than limit the invention.

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Embodiment 1: A distribution network rapid feedback maintenance method, such as Figure 1 As shown, including:

[0037] Step S1: Obtain current parameters and meteorological parameters uploaded by the monitoring terminal and perform data preprocessing;

[0038] Step S2: Time-matching the uploaded data, dividing the time periods according to the preset time threshold, and calculating the average value of the parameter information in the same time period;

[0039] Step S3: setting the current value range of the normal operation state, abnormal operation state and serious fault state of each monitoring terminal;

[0040] Step S4: comparing the real-time detected current value with a preset current value range to determine the extent of the arc fault;

[0041] Step S5: taking corresponding treatment measures according to the degree of the fault;

[0042] Step S6: The fault information is uniformly reported through the customer service center, and the maintenance work order is automatically sent to the maintenance personnel. The maintenance personnel will feedback the maintenance information after the maintenance is completed.

[0043] By installing a fault feature collection terminal on the terminal, and installing remote analysis software and a customer management system on the server side. The fault feature collection terminal collects current signals through current sensors, performs fast Fourier transform on the current signals to calculate fault feature values, communicates with the server side through wireless communication, and uploads the values ​​to the server side. The server-side fault analysis software automatically determines the severity of the fault, reports the fault and dispatches the workers through the customer management system, and automatically sends maintenance work instructions and other information to the customer's mobile phone.

[0044] Embodiment 2: A distribution network rapid feedback maintenance system also includes automatically analyzing the severity of arc faults in a server, and making unified repair reports based on the analysis results, automatically sending work orders to corresponding personnel, and maintenance personnel performing repairs based on the work orders and feeding back repair completion information in the server.

[0045] Data preprocessing includes removing abnormal data and supplementing missing data. The current value range is set based on historical data statistics.

[0046] The specific criteria for judging the degree of arc fault are: the current value range of normal operating state is 5-15A; when the current value is within the normal operating state range, it is judged as a slight arc; the current value range of abnormal operating state is 15-30A; when the current value is within the abnormal operating state range, it is judged as an intermediate state of arc fault; the current value range of severe fault state is greater than 30A; when the current value is within the severe fault state range, it is judged as a severe state of arc fault.

[0047] The current A, alarm current value C, fault current value D and fault current duration E in the on-site fault characteristic values ​​are uploaded to the server. The current A, alarm current value C, fault current value B and fault current duration E in each group of fault characteristic values ​​are compared one by one with the preset relevant characteristic values ​​in the database:

[0048] When the difference between the current A in the on-site fault detection characteristic value and the current B in the first group is less than the set threshold, it is judged as a slight arc. Since the on-site fault detection current is a time domain transient signal, the current calculated by Fourier is an AC component, so the current value of the first group of characteristic parameters is the difference range of the current minus the alarm current value, which is set to 5-15A based on experience. The slight arc characteristic parameters in the database are set as: current is 5-15A, and current duration is 30-180 seconds.

[0049] When the difference between the current A in the on-site fault detection characteristic value and the current B in the first group is greater than the set threshold, but the difference with the current D in the second group is less than the set threshold, it is judged to be an intermediate state of the arc fault, and it takes 2-4 hours for maintenance personnel to arrive at the site for emergency repairs. Since the on-site fault current is a time domain transient signal, and the current calculated by Fourier is an AC component, the current value of the second group of characteristic parameters is the difference range of the current A minus the alarm current value, which is set to 15-30A according to experience. The characteristic parameters of the arc state of power equipment in the database are set as: current 15-30A, current duration 2-4 hours.

[0050] When the difference between the current A in the on-site fault detection characteristic value and the current B in the first group is greater than the set threshold, and the difference with the current D in the second group is also greater than the set threshold, it is judged as a serious arc fault state, and maintenance personnel need to arrive at the site for 30 minutes to carry out emergency repairs. Since the on-site fault current is a time domain transient signal, and the current calculated by Fourier is an AC component, the current value of the second group of characteristic parameters is the difference range of the current A minus the alarm current value, which is set to be above 30A based on experience. The characteristic parameters of the arc state of power equipment in the database are set as: current above 30A, and current duration of 30 minutes.

[0051] In step S5, the processing measures include: for a minor arc, sending a reminder notification; for an intermediate state of an arc fault, troubleshooting the transformer connected to the terminal, and uniformly reporting the fault information, and the repair personnel provide repair services according to the state; for a serious arc fault, immediately shut down the power and dispatch maintenance personnel for emergency treatment; in step S6, when the maintenance personnel perform maintenance, real-time monitoring of the maintenance process is carried out to ensure that the maintenance task is completed on time, and the maintenance results are recorded; the equipment after maintenance is reviewed, and the equipment status information is updated. The rest is the same as in Example 1.

[0052] The present invention has been described in detail above. The above description is only a preferred embodiment of the present invention and should not limit the scope of implementation of the present invention. That is, all equivalent changes and modifications made within the scope of this application should still fall within the scope of the present invention.

Claims

1. A distribution network rapid feedback maintenance method, characterized in that: include: Step S1: Obtain current parameters and meteorological parameters uploaded by the monitoring terminal and perform data preprocessing; Step S2: Time-matching the uploaded data, dividing the time periods according to the preset time threshold, and calculating the average value of the parameter information in the same time period; Step S3: setting the current value range of the normal operation state, abnormal operation state and serious fault state of each monitoring terminal; Step S4: comparing the real-time detected current value with a preset current value range to determine the extent of the arc fault; Step S5: taking corresponding treatment measures according to the degree of the fault; Step S6: The fault information is uniformly reported through the customer service center, and the maintenance work order is automatically sent to the maintenance personnel. The maintenance personnel will feedback the maintenance information after the maintenance is completed.

2. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: It also includes automatic analysis of the severity of arc faults in the server, and unified repair reporting based on the analysis results, automatically sending work orders to relevant personnel, and maintenance personnel perform repairs according to the work orders and feedback maintenance completion information in the server.

3. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: The data preprocessing in step S1 includes eliminating abnormal data and supplementing missing data.

4. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: In the step S3, the current value range is set based on historical data statistics.

5. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: In step S4, the specific criteria for determining the degree of the arc fault are: The current value range of normal operating state is 70-100A; when the current value is within the normal operating state range, it is judged as a slight arc; The current value range of abnormal operation state is 100-150A; when the current value is within the abnormal operation state range, it is judged as the intermediate state of arc fault; The current value range of the severe fault state is 200-350A; when the current value is within the severe fault state range, it is judged as a severe arc fault state.

6. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: In step S5, the processing measures include: for a minor arc, sending a reminder notification; for an intermediate state of an arc fault, troubleshooting the transformer to which the terminal is connected, and at the same time providing a unified repair notification for the fault information, and the repair personnel provide repair services based on the state; for a serious arc fault, immediately shut down the power and dispatch maintenance personnel for emergency processing.

7. The distribution network rapid feedback maintenance method according to claim 1, characterized in that: In step S6, when the maintenance personnel are performing maintenance, the maintenance process is monitored in real time to ensure that the maintenance task is completed on time, and the maintenance results are recorded; the equipment after maintenance is reviewed and the equipment status information is updated.

8. A distribution network rapid feedback maintenance system, characterized in that: include: The first acquisition module is used to acquire the detection parameter information of the monitoring terminal and perform data preprocessing; The second acquisition module is used to obtain the data time point uploaded by the monitoring terminal and match it with the corresponding date and time point in the database, divide the time period according to the preset time threshold, and calculate the average value of the parameter information in the same time period as the actual detection value; A setting module, used to pre-set the current value of each monitoring terminal under normal operating state as a set value, and set the normal operating mode to the first group, set the current value under abnormal operating state to the second group, and set the serious abnormal fault value to the third group; A comparison module is used to compare the current value of each period of normal operation in each group of fault characteristic values ​​with the first group one by one with the preset relevant characteristic values ​​in the database to determine the extent of the arc fault; The processing module is used to take corresponding processing measures according to the judgment result of the judgment module; Repair reporting module, used to report fault information to the customer service center and automatically send work orders to maintenance personnel; The feedback module is used to receive maintenance completion information fed back by maintenance personnel and record maintenance results.

9. The distribution network rapid feedback maintenance system according to claim 8, characterized in that: Also includes: The server module is used to analyze and judge the result of the module; The recording module is used to record the processing process of each terminal within a preset time period and determine the repair status of the corresponding terminal.

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