CN114114083A - High-voltage direct-current cable intelligent monitoring system based on multi-information fusion - Google Patents
High-voltage direct-current cable intelligent monitoring system based on multi-information fusion Download PDFInfo
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- CN114114083A CN114114083A CN202111385983.1A CN202111385983A CN114114083A CN 114114083 A CN114114083 A CN 114114083A CN 202111385983 A CN202111385983 A CN 202111385983A CN 114114083 A CN114114083 A CN 114114083A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 13
- 230000004927 fusion Effects 0.000 title claims abstract description 11
- 238000005259 measurement Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000003745 diagnosis Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims abstract description 5
- 238000012360 testing method Methods 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/58—Testing of lines, cables or conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention relates to a high-voltage direct-current cable intelligent monitoring system based on multi-information fusion, which comprises a data acquisition module, a data processing module, an upper computer and a mobile terminal which are sequentially connected; the data acquisition module is used for acquiring real-time measurement data of the high-voltage direct-current cable; the data processing module is used for comparing the measured data with a preset threshold value, determining that the cable has a problem if the measured data exceeds the threshold value, not performing the subsequent steps if the measured data does not exceed the threshold value, and transmitting all data to the upper computer for processing if the measured data is abnormal; and the upper computer judges the type of the cable fault at the moment based on a Bayesian fault diagnosis model. The invention integrates all the measurement parameters for judgment, and effectively improves the accuracy of fault diagnosis.
Description
Technical Field
The invention relates to the field of high-voltage intelligent monitoring, in particular to a high-voltage direct-current cable intelligent monitoring system based on multi-information fusion.
Background
In recent years, high-voltage flexible direct-current transmission systems are rapidly developed internationally due to the advantages of the high-voltage flexible direct-current transmission systems in the fields of new energy power generation grid connection, long-distance power transmission, ocean power transmission and the like, and in China, more and more overhead wires are cabled in order to exert the advantages of direct-current cables, and the voltage levels of the cables are gradually improved.
Overhead faults are typically transient, self-healing, and can be picked out very easily and quickly, while cable faults are permanent, often requiring a long time for fault location and repair. And as the voltage rating of the cable increases, the reliability of the cable should also increase accordingly. Therefore, it is necessary to propose an excellent fault monitoring system for the high-voltage direct-current cable.
Disclosure of Invention
In view of this, the invention aims to provide an intelligent monitoring system for a high-voltage direct-current cable based on multi-information fusion, which integrates various measurement parameters for judgment and effectively improves the accuracy of fault diagnosis.
In order to achieve the purpose, the invention adopts the following technical scheme:
a high-voltage direct-current cable intelligent monitoring system based on multi-information fusion comprises a data acquisition module, a data processing module, an upper computer and a mobile terminal which are sequentially connected; the data acquisition module is used for acquiring real-time measurement data of the high-voltage direct-current cable; the data processing module is used for comparing the measured data with a preset threshold value, determining that the cable has a problem if the measured data exceeds the threshold value, not performing the subsequent steps if the measured data does not exceed the threshold value, and transmitting all data to the upper computer for processing if the measured data is abnormal; and the upper computer judges the type of the cable fault at the moment based on a Bayesian fault diagnosis model.
Further, the real-time measurement data comprises partial discharge, temperature, sheath circulation, vibration and operation current signal data.
Further, the upper computer judges the type of the cable fault at the moment based on a Bayesian fault diagnosis model, and the method specifically comprises the following steps:
a) according to the historical data, counting measurement parameter values corresponding to various cable faults, establishing a fault sample database, taking the historical data as a test sample, and discretizing the test data to obtain a fault symptom sample set;
b) updating and correcting the conditional probability of the fault type corresponding to each symptom node in the system by using a maximum posterior estimation method according to the fault symptom sample set;
c) and collecting the data of the running cable system, taking the data as a test sample, inputting the test sample into the Bayesian model for calculation to obtain the possibility of various faults at the moment, detecting the correctness of the model and correcting the model.
d) And comparing the probabilities of various faults in the calculation result so as to judge the type of the cable fault at the moment.
Further, the upper computer searches for a matched action mode according to the fault type, acts and transmits action information to the mobile terminal.
Compared with the prior art, the invention has the following beneficial effects:
the invention integrates all the measurement parameters for judgment, and effectively improves the accuracy of fault diagnosis.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
Referring to fig. 1, the invention provides a high-voltage direct-current cable intelligent monitoring system based on multi-information fusion, which comprises a data acquisition module, a data processing module, an upper computer and a mobile terminal, which are sequentially connected;
the data acquisition module is used for measuring signals such as partial discharge, temperature, sheath circulation, vibration, running current and the like through a sensor;
the data processing module is used for acquiring measurement data in real time, comparing signals such as partial discharge, temperature, sheath circulation and vibration obtained through measurement with a set threshold value, determining that a cable has a problem if the signals exceed the threshold value, and not performing subsequent steps if the signals do not exceed the threshold value, wherein all data are transmitted to an upper computer for processing if the data are abnormal;
the upper computer can display abnormal data, analyze the data in real time and issue an analysis result through a 5G network, when the cable breaks down, a mobile phone of a user receives alarm information, and the user can remotely log in the system to monitor the running cable;
preferably, in this embodiment, the upper computer determines the type of the cable fault at this time based on a bayesian-based fault diagnosis model, specifically as follows:
a) according to the historical data, counting measurement parameter values corresponding to various cable faults, establishing a fault sample database, taking the historical data as a test sample, and discretizing the test data to obtain a fault symptom sample set;
b) updating and correcting the conditional probability of the fault type corresponding to each symptom node in the system by using a maximum posterior estimation method according to the fault symptom sample set;
c) and collecting the data of the running cable system, taking the data as a test sample, inputting the test sample into the Bayesian model for calculation to obtain the possibility of various faults at the moment, detecting the correctness of the model and correcting the model.
d) And comparing the probabilities of various faults in the calculation result so as to judge the type of the cable fault at the moment.
The above description is only a preferred embodiment of the present invention, and all equivalent changes and modifications made in accordance with the claims of the present invention should be covered by the present invention.
Claims (4)
1. A high-voltage direct-current cable intelligent monitoring system based on multi-information fusion is characterized in that a data acquisition module, a data processing module, an upper computer and a mobile terminal are sequentially connected; the data acquisition module is used for acquiring real-time measurement data of the high-voltage direct-current cable; the data processing module is used for comparing the measured data with a preset threshold value, determining that the cable has a problem if the measured data exceeds the threshold value, not performing the subsequent steps if the measured data does not exceed the threshold value, and transmitting all data to the upper computer for processing if the measured data is abnormal; and the upper computer judges the type of the cable fault at the moment based on a Bayesian fault diagnosis model.
2. The intelligent monitoring system for high-voltage direct current cables based on multi-information fusion of claim 1 is characterized in that the real-time measurement data comprises partial discharge, temperature, sheath circulating current, vibration and operating current signal data.
3. The high-voltage direct-current cable intelligent monitoring system based on multi-information fusion as claimed in claim 1, wherein the upper computer judges the type of the cable fault at the moment based on a Bayesian fault diagnosis model, and the type is as follows:
a) according to the historical data, counting measurement parameter values corresponding to various cable faults, establishing a fault sample database, taking the historical data as a test sample, and discretizing the test data to obtain a fault symptom sample set;
b) updating and correcting the conditional probability of the fault type corresponding to each symptom node in the system by using a maximum posterior estimation method according to the fault symptom sample set;
c) collecting data of a running cable system, taking the data as a test sample, inputting the test sample into a Bayesian model for calculation to obtain the possibility of various faults at the moment, detecting the correctness of the model and correcting the model;
d) and comparing the probabilities of various faults in the calculation result so as to judge the type of the cable fault at the moment.
4. The high-voltage direct-current cable intelligent monitoring system based on multi-information fusion as claimed in claim 1, wherein the upper computer searches for a matched action mode according to a fault type, acts, and transmits action information to a mobile terminal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111385983.1A CN114114083A (en) | 2021-11-22 | 2021-11-22 | High-voltage direct-current cable intelligent monitoring system based on multi-information fusion |
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| CN202111385983.1A CN114114083A (en) | 2021-11-22 | 2021-11-22 | High-voltage direct-current cable intelligent monitoring system based on multi-information fusion |
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2021
- 2021-11-22 CN CN202111385983.1A patent/CN114114083A/en active Pending
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