CN115684833A - Cable line degradation monitoring method and system based on harmonic diagnosis and storage medium - Google Patents
Cable line degradation monitoring method and system based on harmonic diagnosis and storage medium Download PDFInfo
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Abstract
The invention relates to a cable line degradation monitoring method, a system and a storage medium based on harmonic diagnosis, wherein the method comprises the following steps: s1, randomly extracting a plurality of cases from a fault case library of a cable, sorting and classifying the extracted cases, and establishing a fault diagnosis rule library; s2, monitoring the degradation state of the cable by adopting a harmonic method; s3, judging the degradation degree of the cable line and the reason and the position of the degradation degree by acquiring the relative harmonic content formed by the temperature rise data of the monitoring point at the joint of the high-voltage cable relative to the environment; and S4, comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy. The invention can not only detect the running state of the high-voltage cable on line by utilizing the harmonic diagnosis system, but also predict the degradation trend of the same high-voltage cable by long-term tracking detection of the same high-voltage cable, and carry out effective tracking management.
Description
Technical Field
The invention relates to the technical field of high-voltage cables, in particular to a method and a system for monitoring cable line degradation based on harmonic diagnosis and a storage medium.
Background
The failure of the high-voltage cable is generally divided into 3 stages, namely early failure, and the failure causes are installation and quality problems; the medium-term fault is mostly an accidental fault, and the fault reason is external force damage; and in the case of late-stage failure, the insulation of the cable is aged under the long-term action of various stresses such as force, heat, mechanical stress, environmental stress and the like, so that the aging failure occurs.
Early middle period trouble is mostly artificial accident or other unpredictable's external force accident, through improving operation maintenance management level, promotes the emergence that cable manufacture craft can effectively restrain this type of accident, because of the ageing unavoidable of cable, so need carry out accurate aassessment to the ageing state of operation cable to guide the operation to maintain and change ageing cable, guarantee system operation is stable.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a cable line degradation monitoring method, a cable line degradation monitoring system and a storage medium based on harmonic diagnosis.
The method of the invention is realized by adopting the following technical scheme: a cable line degradation monitoring method based on harmonic diagnosis comprises the following steps:
s1, randomly extracting a plurality of cases from a fault case library of a cable, sorting and classifying the extracted cases, and establishing a fault diagnosis rule library;
s2, monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
s3, judging the degradation degree of the cable line and the reason and the position of the degradation degree by acquiring the relative harmonic content formed by the temperature rise data of the monitoring point at the joint of the high-voltage cable relative to the environment;
and S4, comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
The system of the invention is realized by adopting the following technical scheme: a harmonic-diagnosis-based cabling degradation monitoring system, comprising:
a fault diagnosis rule base establishing module: randomly extracting a plurality of cases from a fault case library of the cable, and sorting and classifying the extracted cases to establish a fault diagnosis rule library;
cable degradation state monitoring module: monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
high-voltage cable status data diagnosis module: judging the degradation degree of a cable line and the reason and the position of the cable line by acquiring the relative harmonic content formed by temperature rise data of a monitoring point at a high-voltage cable joint relative to the environment;
a coping module: and comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
The invention also proposes a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the cable plant degradation monitoring method of the invention.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention can not only detect the running state of the high-voltage cable on line by utilizing the harmonic diagnosis system, but also predict the degradation trend of the same high-voltage cable by long-term tracking detection of the same high-voltage cable, and carry out effective tracking management.
2. The invention adopts the fault diagnosis rule base to automatically generate the equipment state report, does not need complex manual analysis, changes the prior condition that the equipment state can be judged by experts or experienced technicians, ensures that common technicians can clearly know the equipment state condition, the detection report generated by the fault diagnosis rule base not only can provide an accurate state report for the operation of the high-voltage cable, but also can provide reasons of abnormity and defects and a maintenance suggestion, after multiple detections, a trend analysis curve of the operation state of the high-voltage cable can be automatically generated, the change trend of the degradation of the high-voltage cable is analyzed, the abnormity time and the service life cycle of the high-voltage cable are predicted, the problems are found in advance and early warning is realized, and the sudden accidents are avoided.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
Examples
As shown in fig. 1, the method for monitoring cable line degradation based on harmonic diagnosis of the present embodiment includes the following steps:
s1, randomly extracting a plurality of cases from a fault case library of a cable, sorting and classifying the extracted cases, and establishing a fault diagnosis rule library;
s2, monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
s3, judging the degradation degree of the cable line and the reason and the position of the cable line by obtaining the relative harmonic content formed by the temperature rise data of the monitoring point at the high-voltage cable joint relative to the environment;
and S4, comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
Specifically, in the present embodiment, different higher harmonics are generated in the high-voltage cable under different operating conditions and different degradation degrees, and the operating conditions and the degradation conditions of the cable have direct correspondence with the higher harmonics.
Specifically, in this embodiment, in step S2, an artificial neural network (also called ANN) needs to be established, which is derived from the human cerebral neural network, and a mathematical model is constructed manually to simulate the network structure of the human brain and solve some problems to implement a certain function; it is essentially AN information processing system consisting of a number of basic Artificial Neurons (ANs), i.e. some basic information processing units, acting together and interacting with each other.
Specifically, in the present embodiment, the step S3 includes the following steps:
s31, acquiring first temperature R1 of each monitoring point of the high-voltage cable and second temperature R2 of the environment where the high-voltage cable is located;
s32, taking the ratio of the first temperature R1 to the second temperature R2 as temperature rise data R of the high-voltage cable monitoring point relative to the environment, wherein the calculation formula is as follows:
specifically, in the present embodiment, the degradation degree of the cable line in step S3 is divided into three stages, which are respectively denoted by a, B, and C; wherein the deterioration state is normal stage A when the deterioration value is below 20%, mild abnormality B1 when the deterioration value is 21% -40%, moderate abnormality B2 when the deterioration value is 41% -60%, severe abnormality B3 when the deterioration value is 61% -80%, and deterioration C when the deterioration value is above 90%.
Specifically, in this embodiment, the monitoring result and the corresponding coping strategies of the high-voltage cable in step S4 are as follows:
monitoring the normal operation and use of the high-voltage cable in a normal stage A;
when the high-voltage cable is monitored to be in slight abnormality B1, the high-voltage cable normally runs for 12-18 months;
monitoring the high-voltage cable to be in slight abnormality B2, normally operating for 6-12 months, and performing trend management;
when the high-voltage cable is monitored to be in severe abnormity B3, the high-voltage cable is easy to break down after normal operation for 3-6 months, and maintenance and replacement preparation needs to be prepared at any time;
when monitoring that the high voltage cable is in the degraded state C, maintenance and replacement are required immediately.
Based on the same inventive concept, the invention also provides a cable line degradation monitoring system based on harmonic diagnosis, which comprises:
a fault diagnosis rule base establishing module: randomly extracting a plurality of cases from a fault case library of the cable, and sorting and classifying the extracted cases to establish a fault diagnosis rule library;
cable degradation state monitoring module: monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
high-voltage cable status data diagnosis module: judging the degradation degree of a cable line and reasons and positions thereof by obtaining the relative harmonic content formed by temperature rise data of a monitoring point at a high-voltage cable joint relative to the environment;
a coping module: and comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
Specifically, the cable degradation state monitoring module comprises a temperature acquisition module and a temperature rise data calculation module; wherein,
the temperature acquisition module is used for acquiring a first temperature R1 of each monitoring point of the high-voltage cable and a second temperature R2 of the environment where the high-voltage cable is located;
and the temperature rise data calculation module is used for acquiring the obtained first temperature R1 and the second temperature R2 and calculating the temperature rise data R of the high-voltage cable monitoring point relative to the environment.
Specifically, the temperature acquisition module comprises a temperature sensor or an infrared temperature measuring device.
The high-voltage cable state data diagnosis module comprises a portable host, a sensor, a user side data processing module, a harmonic diagnosis system and a remote expert database, wherein the portable host is respectively connected with the sensor, the user side data processing module and the harmonic diagnosis system; wherein,
the portable host and the sensor are used for collecting, storing and processing cable harmonic signals;
the portable host is connected with the sensor, the user side data processing module and the harmonic diagnosis system to realize the input of basic data, the import and analysis of detection data, the output of reports and trend management, and the remote connection with the fault diagnosis rule base to realize the uploading of data, the remote diagnosis and the output of reports;
the harmonic diagnosis system is used for detecting the running state of equipment on line, predicting the degradation trend of the same electrical equipment through long-term tracking detection of the same electrical equipment, and performing effective tracking management.
Specifically, when the high-voltage cable state data diagnosis module carries out fault diagnosis, the state quantity related to the high-voltage cable is input into the harmonic diagnosis system, the harmonic diagnosis system substitutes the received state quantity into the fault diagnosis rule base to obtain the degradation state type predicted value of the high-voltage cable, the degradation state type predicted value of all the high-voltage cables is compared with the degradation state type actual value of the fault case cable respectively, and the accuracy of the high-voltage cable state type predicted value does not reach a preset threshold value, so that the high-voltage cable degradation judgment analysis model is optimized.
Furthermore, the present invention also proposes a storage medium having stored thereon a computer program which, when executed by a processor, implements steps S1-S4 of the cable line degradation monitoring method of the present invention.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (10)
1. A cable line degradation monitoring method based on harmonic diagnosis is characterized by comprising the following steps:
s1, randomly extracting a plurality of cases from a fault case library of a cable, sorting and classifying the extracted cases, and establishing a fault diagnosis rule library;
s2, monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
s3, judging the degradation degree of the cable line and the reason and the position of the cable line by obtaining the relative harmonic content formed by the temperature rise data of the monitoring point at the high-voltage cable joint relative to the environment;
and S4, comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
2. The method for monitoring the degradation of the cable line based on the harmonic diagnosis as claimed in claim 1, wherein the step S3 comprises the steps of:
s31, acquiring first temperature R1 of each monitoring point of the high-voltage cable and second temperature R2 of the environment where the high-voltage cable is located;
s32, taking the ratio of the first temperature R1 to the second temperature R2 as temperature rise data R of the high-voltage cable monitoring point relative to the environment, wherein the calculation formula is as follows:
3. the method for monitoring the degradation of the cable line based on the harmonic diagnosis as claimed in claim 1, wherein the degradation degree of the cable line in step S3 is divided into three stages, which are respectively denoted by a, B and C; wherein the deterioration state is normal stage A when the deterioration value is below 20%, mild abnormality B1 when the deterioration value is 21% -40%, moderate abnormality B2 when the deterioration value is 41% -60%, severe abnormality B3 when the deterioration value is 61% -80%, and deterioration C when the deterioration value is above 90%.
4. The method for monitoring the degradation of the cable line based on the harmonic diagnosis as claimed in claim 3, wherein the monitoring results and the corresponding coping strategies of the high voltage cable in step S4 are as follows:
monitoring the normal operation and use of the high-voltage cable in a normal stage A;
when the high-voltage cable is monitored to be in slight abnormality B1, the high-voltage cable normally runs for 12-18 months;
monitoring the high-voltage cable to be in slight abnormality B2, normally operating for 6-12 months, and performing trend management;
when the high-voltage cable is monitored to be in a severe abnormity B3, the high-voltage cable normally runs for 3-6 months, and preparation for maintenance and replacement is made;
and when the high-voltage cable is monitored to be in a degradation state C, the high-voltage cable is maintained and replaced.
5. A harmonic-diagnosis-based cable run degradation monitoring system, comprising:
a fault diagnosis rule base establishing module: randomly extracting a plurality of cases from a fault case library of the cable, and sorting and classifying the extracted cases to establish a fault diagnosis rule library;
cable degradation state monitoring module: monitoring the degradation state of the cable by adopting a harmonic method, collecting current harmonic data of the cable, and inputting the current harmonic data into a trained artificial neural network for degradation diagnosis;
high-voltage cable status data diagnosis module: judging the degradation degree of a cable line and reasons and positions thereof by obtaining the relative harmonic content formed by temperature rise data of a monitoring point at a high-voltage cable joint relative to the environment;
a coping module: and comparing the obtained degradation degree of the cable line with data in a fault diagnosis rule base to obtain a monitoring result of the high-voltage cable, and adopting a corresponding coping strategy.
6. The harmonic diagnosis-based cable line degradation monitoring system according to claim 5, wherein the cable degradation state monitoring module comprises a temperature acquisition module and a temperature rise data calculation module; wherein,
the temperature acquisition module is used for acquiring a first temperature R1 of each monitoring point of the high-voltage cable and a second temperature R2 of the environment where the high-voltage cable is located;
and the temperature rise data calculation module is used for acquiring the obtained first temperature R1 and the second temperature R2 and calculating the temperature rise data R of the high-voltage cable monitoring point relative to the environment.
7. The harmonic diagnosis based cable line degradation monitoring system of claim 6, wherein the temperature acquisition module comprises a temperature sensor or an infrared temperature measurement device.
8. The harmonic diagnosis-based cable line degradation monitoring system according to claim 5, wherein the high voltage cable state data diagnosis module comprises a portable host, a sensor, a client data processing module, a harmonic diagnosis system and a remote expert database, wherein the portable host is respectively connected with the sensor, the client data processing module and the harmonic diagnosis system; wherein,
the portable host and the sensor are used for collecting, storing and processing cable harmonic signals;
the portable host is connected with the sensor, the user side data processing module and the harmonic diagnosis system and used for inputting basic data, importing and analyzing detection data, outputting reports and managing trends, and is remotely connected with the fault diagnosis rule base and used for uploading data, remotely diagnosing and outputting reports;
the harmonic diagnosis system is used for detecting the running state of equipment on line, predicting the degradation trend of the same electrical equipment through long-term tracking detection of the same electrical equipment, and performing tracking management.
9. The harmonic diagnosis-based cable line degradation monitoring system according to claim 5, wherein when the high voltage cable state data diagnosis module performs fault diagnosis, the state quantity related to the high voltage cable is input into the harmonic diagnosis system, the harmonic diagnosis system substitutes the received state quantity into the fault diagnosis rule base to obtain the degradation state type predicted value of the high voltage cable, the degradation state type predicted values of all the high voltage cables are respectively compared with the degradation state type actual values of the fault case cables, and if the accuracy rate of the high voltage cable state type predicted value does not reach a preset threshold value, the high voltage cable degradation judgment analysis model is optimized.
10. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, performs the steps of the method for cable plant degradation monitoring according to any one of claims 1-4.
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