Data processing method for digital integrated loading of multivariate detection equipment

Abstract

The invention relates to a data processing method for digital integrated loading of multi-element detection equipment. The data processing method comprises the following steps: acquiring a cable capacitance leakage current value, a pulse current frequency, a pulse current peak value, and an environment temperature value and a humidity value around a cable by utilizing a sensor; if the collected data exceed the corresponding standard value range, a prompt signal is sent out; magnetic field signals around the cable are collected, if the magnetic field signals exceed a power generation threshold value, it is judged that the flashover discharge phenomenon happens to the cable, discharge sound signals are collected through a piezoelectric sensor, the acoustic-magnetic time difference is calculated according to target signals and the discharge sound signals, and therefore the distance between a fault point and a detection point is estimated, and the position of the fault point is output and stored; and performing image acquisition on the cable by using the unmanned aerial vehicle, generating an inspection record, and obtaining a state evaluation result of the cable equipment. Compared with the prior art, the method has the advantages that the time required by traditional manual troubleshooting can be saved, and the compatibility and the transformation range of each device can be mastered in time.

Description

Technical Field

[0001] The invention relates to the technical field of cable monitoring, and in particular to a data processing method for digital integrated loading of multi-element detection equipment. Background Art

[0002] The digital integration of multiple detection equipment is mainly used for synchronous transmission and recording of cable equipment status, and the analysis software is used to diagnose the operating status of the cable, thereby improving the digital level of the equipment. The invention with the publication number CN117874574A discloses a digital integration device for multiple cable detection equipment, including: an interface module, which is provided with interfaces of various models for accessing various types of cable detection equipment; a test data acquisition module, which is used to receive the test data collected by each cable monitoring device; a data communication module, which is used for data communication; a data processing module, which is used to receive the detection tasks issued by the management platform system, and drive the connected cable detection equipment to collect the test data through the test data acquisition module, and convert it into a unified format for classification analysis and diagnosis, and obtain the encapsulated data, and upload it to the management platform system through a unified communication protocol; a management platform system, which is used to generate detection tasks; and uniformly manage and view the test data and classification analysis and diagnosis results transmitted by the data processing module.

[0003] The above solution solves the problem that it is difficult to synchronously collect and integrate data during the cable detection process. However, this method can only obtain real-time data during use, and cannot display the real-time data in a more intuitive way. At the same time, when a cable fails, it is impossible to determine the distance between the fault point and the detection point in a short time. When inspecting the cable equipment, the current status of each device is not evaluated, which makes it inconvenient for subsequent operators to understand the actual situation of the equipment and the scope of modification. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide a data processing method for digital integrated installation of multi-element detection equipment, save the time required for traditional manual troubleshooting of cable faults, and be able to grasp the status of each device in a timely manner.

[0005] The purpose of the present invention can be achieved by the following technical solutions: A data processing method for digital integrated loading of multi-element detection equipment comprises the following steps: The leakage current flowing through the cable is collected using a capacitance leakage current sensor to obtain the cable capacitance leakage current value; the partial discharge pulse current of the cable is collected using a pulse current sensor to obtain the pulse current frequency and pulse current peak value; the ambient temperature and humidity values ​​around the cable are collected using a temperature and humidity sensor; Store the collected data and pre-set the value range of each data. If there is data exceeding the corresponding value range, the corresponding data will be output and a prompt signal will be issued; The magnetic signal sensor is used to collect the magnetic field signal around the cable, and the interference signal is filtered out to obtain the target signal; it is determined whether the target signal exceeds the preset power generation threshold. If it exceeds, it is determined that the cable has a flashover discharge phenomenon, and the discharge sound signal is collected through the piezoelectric sensor. The acoustic-magnetic time difference is calculated based on the target signal and the discharge sound signal, so as to estimate the distance between the fault point and the detection point, and output and store the fault point position; Use drones to capture images of cables, analyze the captured image information, generate and store corresponding inspection records; obtain the operation information and status information of the cable equipment from the stored data, and compare it with the preset corresponding status threshold to obtain the status evaluation result of the cable equipment.

[0006] Furthermore, the process of estimating the fault point location includes the following steps: S301: using a magnetic signal sensor to collect a magnetic field signal around the cable, filtering out interference signals in the magnetic field signal by a narrow-band filtering method, and obtaining a target signal; S302: Determine whether the target signal exceeds a preset power generation threshold, and if so, determine that a flashover discharge phenomenon occurs in the cable; S303: If it is determined that the cable has a flashover discharge phenomenon, the discharge sound signal is collected by a piezoelectric sensor, the high-frequency interference noise in the discharge sound signal is removed by a wavelet threshold denoising algorithm, and the low-frequency interference noise in the discharge sound signal is deleted by a spectral subtraction method to obtain a processed discharge sound signal; S304: Analyze the processed discharge sound signal using an endpoint detection algorithm to determine the start time of the discharge sound, and compare it with the time when the target signal detects the flashover discharge phenomenon to calculate the acoustic-magnetic time difference; estimate the distance between the fault point and the detection point based on the acoustic-magnetic time difference to determine the location of the fault point.

[0007] Furthermore, the process of determining the fault point location also includes: transmitting the discharge sound signal to headphones for playback, and further determining the fault point location manually.

[0008] Furthermore, the operation information of the cable equipment includes the voltage, current, power, transformer load rate and fault information of the cable equipment; the status signal includes the status monitoring information, defect information, professional inspection records and maintenance reports of the cable equipment.

[0009] Furthermore, the process of determining the state threshold includes: determining the standard deviation of the corresponding data measurement value, thereby determining the state thresholds of different levels of equipment states through a threshold setting algorithm, which is used to classify the measured data into equipment state levels.

[0010] Furthermore, the calculation expression of the standard deviation is: In the formula, is the standard deviation, is the measured value, is the mean of the measured values, is the number of measured values; The calculation expression of the threshold setting algorithm is: In the formula, For the Level status threshold, Parameters set based on device importance and usage.

[0011] Furthermore, the divided status levels include normal status, caution status, abnormal status and severe status.

[0012] Furthermore, the storage of the collected data is specifically as follows: extracting the collected data, and after preprocessing, obtaining the final cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value and humidity value, and constructing corresponding tables for data storage; Analyze the complete data in each table, draw the corresponding change curve, and store it.

[0013] Furthermore, based on the cable fault theory, standard numerical ranges of cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value and humidity value are preset.

[0014] Furthermore, the method also includes outputting abnormal values ​​of real-time collected data, fault point locations and status evaluation results of cable equipment through a visual interface.

[0015] Compared with the prior art, the present invention has the following advantages: (1) After collecting the current and environmental data of the cable, the present invention compares them with the corresponding standard value range, and outputs abnormal values ​​and corresponding prompts, so that the operator can timely discover abnormal conditions during the operation of the cable and reduce the probability of damage; by collecting the magnetic field signal around the cable, the flashover discharge phenomenon is judged, and the discharge sound signal is collected, and the acoustic-magnetic time difference is calculated through the magnetic signal and the sound signal, so as to estimate the distance between the fault point and the detection point, so as to ensure that the operator can determine the approximate location of the fault point in a short time, and the specific location of the fault point can be obtained more quickly and accurately when it is judged manually later. This method of determining the location of the fault point in a short time greatly saves the time required for traditional manual troubleshooting; and by using auxiliary evaluation, regular inspections are carried out on cable-related equipment, and the equipment data is analyzed using the relative standard method to determine the current status of each component and the overall status evaluation type, so that the operator can timely grasp the compatibility and transformation range of each device.

[0016] (2) The present invention draws historical and real-time data curve graphs for the collected current and environmental data, and outputs them through a visual interface, so that operators can obtain the current data of the cable more intuitively. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of a data processing method for digital integrated loading of a multi-element detection device provided in an embodiment of the present invention; Figure 2 A schematic flow chart of a method for collecting real-time data provided in an embodiment of the present invention; Figure 3 A schematic flow chart of a method for inputting real-time data provided in an embodiment of the present invention; Figure 4 A schematic diagram of a method for locating a fault point provided in an embodiment of the present invention; Figure 5 The present invention provides an auxiliary evaluation method flow chart in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0019] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0021] Example 1 like Figure 1 As shown, this embodiment provides a data processing method for digital integrated loading of a multi-element detection device, comprising the following steps: Collect real-time data S1: Use the capacitance leakage current sensor to collect the leakage current flowing through the cable to obtain the capacitance leakage current value of the cable; use the pulse current sensor to collect the partial discharge pulse current of the cable to obtain the pulse current frequency and pulse current peak value; use the temperature and humidity sensor to collect the ambient temperature and humidity value around the cable; Input real-time data S2: store the collected data and pre-set the value range of each data. If there is data exceeding the corresponding value range, the corresponding data will be output and a prompt signal will be issued; Locate the fault point S3: Use the magnetic signal sensor to collect the magnetic field signal around the cable, and filter out the interference signal to obtain the target signal; determine whether the target signal exceeds the preset power generation threshold. If it exceeds, it is determined that the cable has a flashover discharge phenomenon, and the discharge sound signal is collected by the piezoelectric sensor. The acoustic-magnetic time difference is calculated based on the target signal and the discharge sound signal, so as to estimate the distance between the fault point and the detection point, and output and store the fault point position; Classification of status evaluation types S4: In this embodiment, the device status evaluation is divided into four categories, namely normal status, caution status, abnormal status and severe status, wherein the normal status refers to a status score of more than 80 points, the caution status refers to a status score of 70 to 80 points, the abnormal status refers to a status score of 60 to 69 points, and the severe status refers to a status score of less than 60 points; Auxiliary evaluation S5: Use drones to collect images of cables, analyze the collected image information, generate and store corresponding inspection records; obtain the operation information and status information of the cable equipment from the stored data, and compare it with the preset corresponding status threshold to obtain the status evaluation result of the cable equipment.

[0022] like Figure 2 As shown, step S1 specifically includes the following steps: S101: using a capacitor leakage current sensor to collect leakage current flowing through the cable, and transmitting the collected signal to a capacitor leakage current collection circuit, thereby obtaining a cable capacitor leakage current value; S102: using a pulse current sensor to collect the partial discharge pulse current of the cable, and transmitting the collected signal to a pulse current collection circuit, so as to obtain the frequency and peak value of the pulse current; S103: using a temperature and humidity sensor to collect the temperature and humidity around the cable, and transmitting the data to a storage device; The data storage process in step S2 preferably includes: extracting the collected data and performing preprocessing to obtain the final cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value and humidity value, and constructing corresponding tables for data storage; Analyze the complete data in each table, draw the corresponding change curve, and store it.

[0023] like Figure 3 As shown, step S2 specifically includes the following steps: S201: extracting the collected real-time data, pre-processing the data using a data processing tool, constructing corresponding tables for the cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value, and humidity value, and retrieving relevant historical data tables from a storage device; S202: After analyzing the complete data contained in the current table and the historical data table using a drawing software, draw corresponding curve graphs respectively and store them in a storage device; S203: transferring the data and the curve graph in the storage device to the Proteus simulation software, performing simulation according to the data by the Proteus simulation software, and outputting the simulation results through a visual interface; S204: presetting the standard data range of cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature and humidity based on the cable fault theory; once the collected data exceeds the pre-set value range, outputting the currently collected real-time data through the visual interface and sending a prompt signal to the control center; like Figure 4 As shown, step S3 specifically includes the following steps: S301: After collecting the magnetic field signal around the cable using the magnetic signal sensor, the obtained signal is processed by a narrow-band filtering method to delete the interference signal and obtain the target signal; S302: using a processor to determine whether the target signal reaches a set threshold value, if it reaches the set threshold value, it is determined that the cable has a flashover discharge phenomenon, otherwise it is determined that the cable has not a flashover discharge phenomenon; S303: When it is determined that the cable has a flashover discharge phenomenon, the discharge sound signal is collected by the piezoelectric sensor, and the discharge sound signal is processed by using a wavelet threshold denoising algorithm to remove the high-frequency interference noise in the discharge sound signal, and then the low-frequency interference noise in the sound signal is deleted by spectral subtraction. The wavelet threshold denoising algorithm is specifically as follows: In the formula, is the wavelet coefficient, is the symbolic function, is the threshold value; S304: Analyze the sound signal using the endpoint detection algorithm, determine the start time of the discharge sound, calculate the acoustic-magnetic time difference using the magnetic signal and the sound signal, estimate the distance between the fault point and the detection point based on the acoustic-magnetic time difference through the processor, and transmit the discharge sound signal to the earphone for playback. After manually determining the accurate fault point location, transmit it to the visual interface for output. The endpoint detection algorithm is specifically as follows: In the formula, is the energy of each frame, is the frame length, i is the parameter, n is the number of frames, is the size of the overlapping area, is the total number of frames.

[0024] like Figure 5 As shown, step S5 specifically includes the following steps: S501: Using an intelligent drone to collect images of the cable and the outside of related equipment, and transmitting the collected information to a control center, which analyzes the image information to generate corresponding inspection records; S502: Obtaining relevant operation information and status information of the cable equipment in the database, wherein the relevant operation information includes the voltage, current, power, transformer load rate and fault information of the equipment, and the relevant status information includes the status monitoring information, defect information, professional inspection records and maintenance reports of the equipment; S503: Analyze and calculate the relevant operation information and status information of the equipment using the relative standard method, determine the current status threshold of each component of the equipment, score each component of the equipment, obtain the overall status score of the current equipment, and determine the final status evaluation type according to the status score. The relative standard method includes a measurement value statistical algorithm, which is specifically: In the formula, is the standard deviation, is the measured value, is the mean of the measured values, is the number of measured values; The relative standard method includes a threshold setting algorithm, which is specifically: In the formula, For the Level status threshold, Parameters set based on device importance and usage.

[0025] S504: After obtaining the equipment-related data and status evaluation, organize them into a complete professional report and output them through a visual interface.

[0026] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A data processing method for digital integrated loading of multi-element detection equipment, characterized in that: The following steps are involved: The leakage current flowing through the cable is collected by using a capacitance leakage current sensor to obtain the cable capacitance leakage current value; The pulse current sensor is used to collect the partial discharge pulse current of the cable to obtain the pulse current frequency and pulse current peak value; Use the temperature and humidity sensor to collect the ambient temperature and humidity values ​​around the cable; Store the collected data and pre-set the value range of each data. If there is data exceeding the corresponding value range, the corresponding data will be output and a prompt signal will be issued; The magnetic signal sensor is used to collect the magnetic field signal around the cable, and the interference signal is filtered out to obtain the target signal; it is determined whether the target signal exceeds the preset power generation threshold. If it exceeds, it is determined that the cable has a flashover discharge phenomenon, and the discharge sound signal is collected through the piezoelectric sensor. The acoustic-magnetic time difference is calculated based on the target signal and the discharge sound signal, so as to estimate the distance between the fault point and the detection point, and output and store the fault point position; Use drones to collect images of cables, analyze the collected image information, and generate and store corresponding inspection records; The operation information and status information of the cable equipment are obtained from the stored data, and compared with the preset corresponding status thresholds to obtain the status evaluation result of the cable equipment.

2. A data processing method for digital integrated loading of multi-element detection equipment according to claim 1, characterized in that: The process of estimating the fault point location comprises the following steps: S301: using a magnetic signal sensor to collect a magnetic field signal around the cable, filtering out interference signals in the magnetic field signal by a narrow-band filtering method, and obtaining a target signal; S302: Determine whether the target signal exceeds a preset power generation threshold, and if so, determine that a flashover discharge phenomenon occurs in the cable; S303: If it is determined that the cable has a flashover discharge phenomenon, the discharge sound signal is collected by a piezoelectric sensor, the high-frequency interference noise in the discharge sound signal is removed by a wavelet threshold denoising algorithm, and the low-frequency interference noise in the discharge sound signal is deleted by a spectral subtraction method to obtain a processed discharge sound signal; S304: Analyze the processed discharge sound signal using an endpoint detection algorithm to determine the start time of the discharge sound, and compare it with the time when the target signal detects the flashover discharge phenomenon to calculate the acoustic-magnetic time difference; estimate the distance between the fault point and the detection point based on the acoustic-magnetic time difference to determine the location of the fault point.

3. A data processing method for digital integrated loading of multi-element detection equipment according to claim 2, characterized in that: The process of determining the fault point location also includes: transmitting the discharge sound signal to headphones for playing, and further determining the fault point location manually.

4. A data processing method for digital integrated loading of multi-element detection equipment according to claim 1, characterized in that: The operation information of the cable equipment includes the voltage, current, power, transformer load rate and fault information of the cable equipment; the status signal includes the status monitoring information, defect information, professional inspection records and maintenance reports of the cable equipment.

5. The data processing method for digital integrated loading of multi-element detection equipment according to claim 1 is characterized in that: The process of determining the state threshold includes: determining the standard deviation of the corresponding data measurement value, thereby determining the state thresholds of different levels of equipment states through a threshold setting algorithm, which is used to classify the measured data into equipment state levels.

6. A data processing method for digital integrated loading of multi-element detection equipment according to claim 5, characterized in that: The calculation expression of the standard deviation is: In the formula, is the standard deviation, is the measured value, is the mean of the measured values, is the number of measured values; The calculation expression of the threshold setting algorithm is: In the formula, For the Level status threshold, Parameters set based on device importance and usage.

7. A data processing method for digital integrated loading of multi-element detection equipment according to claim 5, characterized in that: The divided status levels include normal status, caution status, abnormal status and severe status.

8. The method for processing digital integrated loading data of a multi-element detection device according to claim 1, characterized in that: The storing of the collected data specifically comprises: extracting the collected data, and performing preprocessing to obtain the final cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value and humidity value, and constructing corresponding tables for data storage; Analyze the complete data in each table, draw the corresponding change curve, and store it.

9. A data processing method for digital integrated loading of multi-element detection equipment according to claim 1, characterized in that: Based on the cable fault theory, standard numerical ranges for cable capacitance leakage current value, pulse current frequency, pulse current peak value, ambient temperature value and humidity value are preset.

10. The method for processing digital integrated loading data of a multi-element detection device according to claim 1, characterized in that: The method also includes outputting abnormal values ​​of real-time collected data, fault point locations and status evaluation results of cable equipment through a visual interface.

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