CN114910763A - GIS partial discharge monitoring method and device - Google Patents
GIS partial discharge monitoring method and device Download PDFInfo
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- CN114910763A CN114910763A CN202210838919.2A CN202210838919A CN114910763A CN 114910763 A CN114910763 A CN 114910763A CN 202210838919 A CN202210838919 A CN 202210838919A CN 114910763 A CN114910763 A CN 114910763A
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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
- G01R31/1254—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 gas-insulated power appliances or vacuum gaps
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
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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
- Y04S10/52—Outage or fault management, e.g. fault detection or location
Abstract
The invention discloses a method and a device for monitoring GIS partial discharge, which relate to the technical field of GIS operation and maintenance monitoring technology, and comprise the following steps: acquiring monitoring data from a target GIS partial discharge online monitoring subsystem; analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data; when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removing operation at the fault position according to a preset fault removing scheme; after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site. The method overcomes the limitations that the operation and maintenance cost is high and the fault type and position can not be accurately positioned when the fault occurs in the prior art.
Description
Technical Field
The invention relates to the technical field of GIS operation and maintenance monitoring, in particular to a GIS partial discharge monitoring method and device.
Background
Although the GIS has high safety and reliability, insulation defects are easy to occur after the GIS is subjected to multiple links such as processing, transportation, field assembly and the like, so that the normal operation of the GIS is influenced. The defects are usually tiny and hidden, although the defects are not enough to cause immediate breakdown in a power frequency voltage withstand test, the defects can generate partial discharge under the action of normal operating voltage after being put into operation, so that the defects are gradually developed and enlarged, and even cause whole insulation breakdown or surface flashover in severe cases, thereby threatening the safe operation of equipment.
GIS partial discharge on-line monitoring can help in time discover GIS's insulation defect, avoids insulation fault, improves GIS's safe operation level, can realize GIS insulating state maintenance, reduces the power off time and saves maintenance cost. In the prior art, the performance of the GIS partial discharge online monitoring device is generally monitored by comparing a partial discharge testing device with the GIS partial discharge online monitoring device which is connected to a GIS pipeline and installed outside or inside a GIS. However, the installation of an additional monitoring device has high cost for installation, operation and maintenance, and the prior art has the limitation that the fault type and the position of the system cannot be accurately positioned.
Disclosure of Invention
The invention provides a method and a device for correcting actually measured energy consumption data, electronic equipment and a storage medium.
In a first aspect, the present invention provides a method for monitoring GIS partial discharge, which is applied to a GIS partial discharge monitoring system, where the monitoring system includes: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the method comprises the following steps:
acquiring monitoring data from a target GIS partial discharge online monitoring subsystem;
analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data;
when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removing operation at the fault position according to a preset fault removing scheme;
after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
Optionally, the fault self-diagnosis unit includes: the system comprises a data scanning comparison subunit, a fault diagnosis positioning subunit and an autonomous troubleshooting control subunit which are sequentially connected, and a fault cause and effect function subunit which is mutually connected with the data scanning comparison subunit; when the fault condition is abnormal fault, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and performs fault removing operation according to a preset fault removing scheme at the fault position, wherein the fault removing operation comprises the following steps:
when the fault condition is abnormal, the fault diagnosis positioning subunit determines the fault reason and the fault position based on the fault database;
the autonomous obstacle removing control subunit responds to the received response function, carries out obstacle removing operation at the fault position according to the obstacle removing scheme and the fault reason; the response function is obtained by combining the fault database according to the monitoring data by the fault cause and effect function subunit;
the step of analyzing the monitoring data by the fault self-diagnosis unit and determining the fault condition corresponding to the monitoring data specifically comprises the following steps:
the data scanning comparison subunit performs comparison analysis on the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node to obtain a comparison result; the comparison result is used to determine the fault condition.
Optionally, the fault self-diagnosis unit further includes: the fault diagnosis log management subunit is mutually connected with the autonomous troubleshooting control subunit; after the troubleshooting operation is finished, the fault self-diagnosis unit determines a removal state of the fault abnormality, and determines whether fault information including a fault condition is generated according to the removal state, and the method further includes:
and the fault diagnosis log management subunit updates the fault diagnosis log according to the elimination state.
Optionally, after the troubleshooting operation is finished, the determining, by the fault self-diagnosis unit, a state of eliminating the fault abnormality, and determining whether to generate fault information including a fault condition according to the state of eliminating, includes:
after the fault removing operation is finished, the data scanning and comparing subunit analyzes the monitoring data again to obtain a new fault condition;
determining whether the fault abnormality is eliminated according to the new fault condition; if yes, the fault diagnosis log management subunit updates the fault diagnosis log; and if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit.
In a second aspect, the present invention further provides a monitoring device for GIS partial discharge, which is applied to a GIS partial discharge monitoring system, and the monitoring system includes: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the device comprises:
the acquisition module is used for acquiring monitoring data from the target GIS partial discharge online monitoring subsystem;
the analysis module is used for analyzing the monitoring data through the fault self-diagnosis unit and determining the fault condition corresponding to the monitoring data;
the fault removing operation module is used for determining a fault reason and a fault position by using the fault database through the fault self-diagnosis unit when the fault condition is abnormal fault, and performing fault removing operation at the fault position according to a preset fault removing scheme;
the fault elimination state determination module is used for determining the elimination state of the fault abnormity through the fault self-diagnosis unit after the fault elimination operation is finished, and determining whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
Optionally, the fault self-diagnosis unit includes: the system comprises a data scanning comparison subunit, a fault diagnosis positioning subunit and an autonomous troubleshooting control subunit which are sequentially connected, and a fault cause and effect function subunit which is mutually connected with the data scanning comparison subunit; the obstacle removing operation module comprises:
the fault information determining submodule is used for determining the fault reason and the fault position on the basis of the fault database through the fault diagnosis positioning subunit when the fault condition is abnormal fault;
the fault operation sub-module is used for responding to the received response function through the autonomous obstacle removing control sub-unit, performing obstacle removing operation at the fault position according to the obstacle removing scheme and according to the fault reason; the response function is obtained by combining the fault database according to the monitoring data by the fault cause and effect function subunit;
the analysis module is specifically configured to:
comparing and analyzing the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node through the data scanning and comparing subunit to obtain a comparison result; the comparison result is used to determine the fault condition.
Optionally, the fault self-diagnosis unit further includes: the fault diagnosis log management subunit is mutually connected with the autonomous troubleshooting control subunit; the device still includes:
and the diary updating module is used for updating the fault diagnosis log through the fault diagnosis log management subunit according to the elimination state.
Optionally, the elimination status determination module includes:
the secondary analysis submodule is used for analyzing the monitoring data again through the data scanning comparison subunit after the fault removing operation is finished so as to obtain a new fault condition;
the situation elimination sub-module is used for determining whether the fault abnormity is eliminated according to the new fault situation; if yes, the fault diagnosis log management subunit updates the fault diagnosis log; and if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit.
A third aspect of the application provides an electronic device comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the method for monitoring the GIS partial discharge according to the first aspect according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program codes for executing the method for monitoring GIS partial discharge according to the first aspect.
According to the technical scheme, the invention has the following advantages:
the method comprises the steps of acquiring monitoring data from a target GIS partial discharge online monitoring subsystem; analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data; when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removing operation at the fault position according to a preset fault removing scheme; after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site. By analyzing the acquired monitoring data and determining the fault reason and the fault position when a fault exists, the defects that the operation and maintenance cost is high and the fault type and the fault position cannot be accurately positioned when the fault occurs in the prior art are overcome.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts;
fig. 1 is a flowchart of a first step of a monitoring method for GIS partial discharge according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of a second embodiment of a GIS partial discharge monitoring method of the present invention;
FIG. 3 is a schematic diagram of the GIS partial discharge monitoring system of the present invention;
fig. 4 is a schematic composition diagram of a fault self-diagnosis unit in the GIS partial discharge monitoring system of the present invention;
fig. 5 is a block diagram of a monitoring apparatus for GIS partial discharge according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a GIS partial discharge monitoring method and device, which are used for accurately determining the fault type and the fault position when a fault occurs under the condition that an online monitoring device does not need to be additionally installed.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of a first embodiment of a method for monitoring GIS partial discharge according to the present invention, and the method is applied to a GIS partial discharge monitoring system, where the monitoring system includes: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the method specifically comprises the following steps:
step S101, acquiring monitoring data from a target GIS partial discharge online monitoring subsystem;
step S102, analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data;
step S103, when the fault condition is abnormal fault, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removal operation at the fault position according to a preset fault removal scheme;
step S104, after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether to generate fault information containing fault conditions according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
In the embodiment of the invention, monitoring data are obtained from a target GIS partial discharge online monitoring subsystem; analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data; when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removal operation at the fault position according to a preset fault removal scheme; after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site. By analyzing the acquired monitoring data and determining the fault reason and the fault position when a fault exists, the defects that the operation and maintenance cost is high and the fault type and the fault position cannot be accurately positioned when the fault occurs in the prior art are overcome.
Please refer to fig. 2, which is a flowchart illustrating steps of a second embodiment of a method for monitoring GIS partial discharge according to the present invention, applied to a GIS partial discharge monitoring system, and refer to fig. 3 and fig. 4, where fig. 3 is a schematic diagram illustrating a composition of the GIS partial discharge monitoring system according to the present invention, and fig. 4 is a schematic diagram illustrating a composition of a fault self-diagnosis unit in the GIS partial discharge monitoring system according to the present invention, and the monitoring system includes: a plurality of GIS partial discharge online monitoring subsystems connected with the monitoring background 1; the monitoring background 1 comprises: the fault self-diagnosis unit 5 and the background management and control software 7 are connected with the fault database 6; the fault self-diagnosis unit 5 includes: a data scanning comparison subunit 52, a fault diagnosis positioning subunit 53 and an autonomous obstacle elimination control subunit 54 which are connected in sequence, a fault cause and effect function subunit 51 which is connected with the data scanning comparison subunit 52, and a fault diagnosis log management subunit 55 which is connected with the autonomous obstacle elimination control subunit 54; the online monitoring subsystem comprises: the system comprises a transformer substation on-site monitoring substation 2, a merging unit 3 and a sensor array, wherein the transformer substation on-site monitoring substation, the merging unit 3 and the sensor array are sequentially connected, and the sensor array is composed of a plurality of sensors 4 which are regularly distributed near a GIS insulating basin and are connected into the same merging unit 3; the substation local monitoring substation 2 mainly comprises a server, an Ethernet switch, an optical fiber transceiver, an optical fiber box, a database, human-computer interaction software and the like; the merging unit 3 is divided into an upper layer structure and a lower layer structure: the bottom layer is a power supply unit which comprises a system power supply filter, two AC/DC switching power supplies and an AC/DC power supply board; the upper layer is a signal processing unit which mainly comprises an optical fiber receiving board, a CPU and an optical fiber transceiver; the sensor 4 is mainly composed of a high-frequency/ultra-high-frequency inductor, a UHF amplifying circuit, a pulse shaping circuit and an optical fiber conversion and transmission circuit.
The method specifically comprises the following steps:
step S201, acquiring monitoring data from a target GIS partial discharge online monitoring subsystem;
for the GIS partial discharge online monitoring subsystem, a large GIS partial discharge online monitoring system is divided into a plurality of GIS partial discharge online monitoring subsystems which can be independently monitored and have a limited number of input ends and output ends by taking the local monitoring substation 2 of the transformer substation as a unit. The fault database 6 stores a large number of fault types and corresponding fault elimination schemes which are common and possibly occur in the GIS operation process, and the fault types and the corresponding fault elimination schemes comprise:
(1) the data of a single monitoring point is unchanged for a long time, and the possible reasons are as follows: a. the sensor loses power; b. the merging unit 3 powers off the power supply for the sensor 4; c. the connection tail fiber between the sensor 4 and the merging unit 3 is not well connected; d. the coaxial line between the optical fiber board and the main board is in poor contact; e. the sensor 4 is damaged; f. the mainboard is damaged;
(2) the data of a plurality of monitoring points are unchanged for a long time, and the possible reasons are as follows: a. communication is interrupted; b. the power supply of the main board of the merging unit 3 is powered off; c. the photoelectric conversion plate is powered off; d. the photoelectric conversion panel is damaged; e. damage of the optical fiber pigtail; f. damage to the optical cable; g. poor contact of the photoelectric conversion board or the Ethernet communication line at the background;
(3) the remote data is unchanged for a long time, and the possible reasons are as follows: a. the data of the local monitoring substation 2 of a certain substation is not changed for a long time and can be the background power failure of the substation end; b. an Ethernet connection problem; c. an IP address error;
(4) and (3) alarming a certain channel, and judging whether the local discharge signal is the internal local discharge signal of the GIS equipment: a. the detection method comprises the following steps: wrapping the sensor 4 with shielding cloth with a shielding function, checking whether the data of the collected discharge magnitude becomes zero or not, and if the data becomes zero or the magnitude is very small, the data can be proved to be external interference; b. if the amplitude does not change much after the sensor 4 is wrapped, possible reasons include: the first is merging unit 3 mainboard problem; second, there is internal partial discharge signal really; thirdly, external interference enters the sensor 4 through other shielded GIS insulation basins (a portable GIS partial discharge detector is needed to be adopted for discrimination to judge whether the external interference is an internal partial discharge signal); c. by observing whether the alarm has a certain time law, if the time law exists, external interference is more likely.
Step S202, the data scanning and comparing subunit 52 performs comparison and analysis on the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node to obtain a comparison result; the comparison result is used for determining the fault condition;
in the embodiment of the invention, the fault self-diagnosis unit 5 periodically scans and compares the monitoring data uploaded and stored to the monitoring background 1 in the GIS partial discharge online monitoring subsystem through the substation local monitoring substation 2, and feeds back and warns if data abnormality is found.
In a specific implementation, the data scanning comparison subunit 52 may respectively retrieve the monitoring data uploaded by each GIS partial discharge online monitoring subsystem stored in the monitoring background 1, and perform comparison analysis processing on the data of the nodes at different times in the same group, the data corresponding to different elements of the same node, and the like according to a preset rule program.
Step S203, when the fault condition is a fault abnormality, the fault diagnosis positioning subunit 53 determines the fault reason and the fault position based on the fault database 6;
in the embodiment of the present invention, after the data scanning and comparing subunit 52 finds that there is a fault through data exception, the fault diagnosing and positioning subunit 53 may perform a polling system to find out the fault type, fault symptom and possible fault cause data stored in the fault database 6 one by one until the fault cause and position are determined.
Step S204, the autonomous obstacle clearance management and control subunit 54 responds to the received response function, and performs obstacle clearance operation according to the fault reason at the fault position according to the obstacle clearance scheme; the response function is obtained by the fault cause and effect function subunit 51 according to the monitoring data and by combining the fault database 6;
the fault cause and effect function subunit 51 may be configured to make, in conjunction with the data content of the fault database 6, an accurate mathematical description of the line response in the event of a fault, i.e. writing the fault status into the output response equation of the line, to obtain an output response function reflecting the fault as an operating basis for self-diagnosing the fault; the autonomous obstacle clearance control subunit 54 may be configured to respond to the response function, and perform an autonomous obstacle clearance operation on the location where the fault occurs through a preset autonomous obstacle clearance program after determining the type and the location of the fault.
In the embodiment of the invention, all the components in the GIS partial discharge online monitoring subsystem are sequentially connected into a digital logic circuit, a fault self-diagnosis unit 5 is loaded in a monitoring background 1 and is respectively connected into the digital logic circuits of the GIS partial discharge online monitoring subsystems, after the fault type and the fault position are determined, the fault self-diagnosis unit 5 automatically starts an autonomous troubleshooting program, or a background monitoring personnel starts the autonomous troubleshooting program through remote operation and maintenance operation, the autonomous troubleshooting program carries out troubleshooting operation according to a preset troubleshooting scheme, and a fault diagnosis log is updated in time.
In a specific implementation, after the autonomous troubleshooting management and control subunit 54 receives the response function, the troubleshooting operation is performed around the fault according to the troubleshooting scheme stored in the fault database 6.
It should be noted that the preset troubleshooting schemes include, but are not limited to, restarting devices and programs, disconnecting and reconnecting networks, resetting IP addresses, updating upgrade programs, and the like.
Step S205, after the troubleshooting operation is finished, the data scanning and comparing subunit 52 analyzes the monitoring data again to obtain a new fault condition;
step S206, determining whether the fault abnormity is eliminated according to the new fault condition; if yes, the fault diagnosis log management subunit 55 updates the fault diagnosis log; if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit;
in the embodiment of the present invention, after the execution of the autonomous troubleshooting program is finished, the data scanning and comparing subunit 52 analyzes the monitoring data again, and determines whether the failure is eliminated through a double-diagnosis; if the fault is eliminated, updating the fault diagnosis log; if not, updating the fault diagnosis log and reporting to the monitoring background 1; and aiming at the fault which cannot be automatically eliminated, the monitoring background 1 sends the relevant information of the fault to the operation and maintenance personnel of the area to which the fault position belongs by means of short messages or wireless communication. And the operation and maintenance personnel go to the site to carry out maintenance and troubleshooting operation according to the fed back fault location, and update the operation process to a fault diagnosis log in time after completing the site test diagnosis and the maintenance and troubleshooting.
In specific implementation, the fault related information that the monitoring background 1 needs to send to the operation and maintenance responsible person in the area to which the fault location belongs includes, but is not limited to, the fault location and the accurate positioning coordinate, the possible fault type, the fault autonomous troubleshooting record, the relevant fault site diagnosis means, the relevant fault site troubleshooting scheme, and the like. During the on-site maintenance and troubleshooting operation, the operation and maintenance personnel can access the GIS partial discharge online monitoring system through wireless communication or a web terminal by using a mobile phone, a tablet, a handheld mobile terminal and the like to realize the interactive process with the fault self-diagnosis unit 5.
In step S207, the fault diagnosis log management subunit 55 updates the fault diagnosis log according to the elimination state.
In the embodiment of the present invention, the fault diagnosis log management subunit 55 may be configured to construct a fault diagnosis log, support system automatic recording and manual addition and update of the diagnosis log by an operator, and automatically manage log data, when the data scanning comparison subunit 52 analyzes the monitored data again, which means that a process performed by the GIS partial discharge monitoring system is substantially ended, at this time, the fault diagnosis log management subunit 55 may update the fault diagnosis log according to the removal state.
In summary, the GIS partial discharge online monitoring system is used for monitoring and diagnosing, and comprises the steps of adopting various detection, measurement, monitoring, analysis and judgment methods, considering environmental factors by combining the history and the current situation of the system, evaluating the running state of the GIS equipment, judging whether the GIS equipment is in a normal or abnormal state, displaying and recording the state, giving an alarm to an abnormal state so as to facilitate timely processing of operators, and providing information and preparing basic data for fault analysis, performance evaluation, reasonable use and safe work of the GIS equipment.
In addition, the GIS partial discharge online monitoring system has the technical principle that: when local discharge occurs, the electromagnetic wave signal repeatedly propagates, reflects, refracts, delays, attenuates and the like according to the structure of the GIS equipment, and is radiated to the outside through a GIS insulation basin (insulation piece); electromagnetic waves leaked through the GIS insulation basin are detected through a high-sensitivity built-in or external sensor 4; the electromagnetic wave signals excited by partial discharge in the GIS equipment are detected by the sensor 4, the detected signals are subjected to sampling, storage, digital signal processing and analysis by a high-speed data acquisition module in the substation on-site monitoring substation 2 after being filtered, a radio frequency preamplifier and a detector, and the data processed by the on-site monitoring unit is uploaded to a main processor unit of the monitoring background 1 through an optical fiber; the monitoring background 1 main processor unit builds a fault mode database according to the data sent from the substation on-site monitoring substation 2 through a fault self-diagnosis unit 5 running on the monitoring background 1, diagnoses the insulation state of the GIS equipment, and displays discharge fingerprint characteristic data in various modes; the partial discharge historical measurement data stored on the main processor unit of the monitoring background 1 can be inquired by workers and a remote management system.
In the method for monitoring the GIS partial discharge provided by the embodiment of the invention, monitoring data are acquired from a target GIS partial discharge online monitoring subsystem; analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data; when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removing operation at the fault position according to a preset fault removing scheme; after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site. By analyzing the acquired monitoring data and determining the fault reason and the fault position when a fault exists, the defects that the operation and maintenance cost is high and the fault type and the fault position cannot be accurately positioned when the fault occurs in the prior art are overcome.
Fig. 5 shows a block diagram of an embodiment of a monitoring device for GIS partial discharge, which can be used to implement the above monitoring method for GIS partial discharge, and the device is applied to a GIS partial discharge monitoring system, where the monitoring system includes: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the device comprises:
an obtaining module 301, configured to obtain monitoring data from a target GIS partial discharge online monitoring subsystem;
an analysis module 302, configured to analyze the monitoring data through the fault self-diagnosis unit, and determine a fault condition corresponding to the monitoring data;
the fault removing operation module 303 is configured to determine a fault reason and a fault position by using the fault database through the fault self-diagnosis unit when the fault condition is the fault abnormality, and perform fault removing operation at the fault position according to a preset fault removing scheme;
a failure elimination state determination module 304, configured to determine, by the fault self-diagnosis unit, a failure elimination state of the fault abnormality after the fault elimination operation is finished, and determine whether to generate fault information including a fault condition according to the failure elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
In an alternative embodiment, the fault self-diagnosis unit includes: the fault diagnosis and fault elimination system comprises a data scanning comparison subunit, a fault diagnosis positioning subunit and an automatic fault elimination control subunit which are connected in sequence, and a fault cause and effect function subunit which is connected with the data scanning comparison subunit; the obstacle clearance operation module 303 includes:
the fault information determining submodule is used for determining the fault reason and the fault position on the basis of the fault database through the fault diagnosis positioning subunit when the fault condition is abnormal fault;
the fault operation submodule is used for responding to the received response function through the autonomous fault removal management and control subunit, performing fault removal operation at the fault position according to the fault removal scheme and according to the fault reason; the response function is obtained by combining the fault database according to the monitoring data by the fault cause and effect function subunit;
the analysis module 302 is specifically configured to:
comparing and analyzing the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node through the data scanning and comparing subunit to obtain a comparison result; the comparison result is used to determine the fault condition.
In an optional embodiment, the fault self-diagnosis unit further includes: the fault diagnosis log management subunit is mutually connected with the autonomous troubleshooting control subunit; the device still includes:
and the diary updating module is used for updating the fault diagnosis log through the fault diagnosis log management subunit according to the elimination state.
In an alternative embodiment, the cancellation status determination module 304 comprises:
the secondary analysis submodule is used for analyzing the monitoring data again through the data scanning comparison subunit after the fault removing operation is finished so as to obtain a new fault condition;
the situation elimination sub-module is used for determining whether the fault abnormity is eliminated according to the new fault situation; if yes, the fault diagnosis log management subunit updates the fault diagnosis log; and if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit.
The application also provides an electronic device, which comprises a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the GIS partial discharge monitoring method in the method embodiment according to the instructions in the program codes.
The present application further provides a computer-readable storage medium for storing program codes for performing the monitoring method of GIS partial discharge in the above method embodiments.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A GIS partial discharge monitoring method is characterized in that the method is applied to a GIS partial discharge monitoring system, and the monitoring system comprises: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the method comprises the following steps:
acquiring monitoring data from a target GIS partial discharge online monitoring subsystem;
analyzing the monitoring data through the fault self-diagnosis unit, and determining the fault condition corresponding to the monitoring data;
when the fault condition is abnormal, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and carries out fault removing operation at the fault position according to a preset fault removing scheme;
after the troubleshooting operation is finished, the fault self-diagnosis unit determines the elimination state of the fault abnormality and determines whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
2. The GIS partial discharge monitoring method according to claim 1, wherein the fault self-diagnosis unit includes: the system comprises a data scanning comparison subunit, a fault diagnosis positioning subunit and an autonomous troubleshooting control subunit which are sequentially connected, and a fault cause and effect function subunit which is mutually connected with the data scanning comparison subunit; when the fault condition is abnormal fault, the fault self-diagnosis unit determines a fault reason and a fault position by using the fault database, and performs fault removing operation according to a preset fault removing scheme at the fault position, wherein the fault removing operation comprises the following steps:
when the fault condition is abnormal, the fault diagnosis positioning subunit determines the fault reason and the fault position based on the fault database;
the autonomous obstacle removing control subunit responds to the received response function, carries out obstacle removing operation at the fault position according to the obstacle removing scheme and the fault reason; the response function is obtained by combining the fault database according to the monitoring data by the fault cause and effect function subunit;
the step of analyzing the monitoring data by the fault self-diagnosis unit and determining the fault condition corresponding to the monitoring data specifically comprises the following steps:
the data scanning comparison subunit performs comparison analysis on the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node to obtain a comparison result; the comparison result is used to determine the fault condition.
3. The GIS partial discharge monitoring method according to claim 2, wherein the fault self-diagnosis unit further includes: the fault diagnosis log management subunit is mutually connected with the autonomous troubleshooting control subunit; after the troubleshooting operation is finished, the fault self-diagnosis unit determines a state of eliminating the fault abnormality, and determines whether fault information including a fault condition is generated according to the state of eliminating, and the method further includes:
and the fault diagnosis log management subunit updates the fault diagnosis log according to the elimination state.
4. The method for monitoring the GIS partial discharge according to claim 3, wherein the step of determining, by the fault self-diagnosis unit, a state of elimination of the fault abnormality after the troubleshooting operation is completed, and determining whether to generate fault information including a fault condition according to the state of elimination includes:
after the fault removing operation is finished, the data scanning and comparing subunit analyzes the monitoring data again to obtain a new fault condition;
determining whether the fault abnormality is eliminated according to the new fault condition; if yes, the fault diagnosis log management subunit updates the fault diagnosis log; and if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit.
5. The utility model provides a GIS partial discharge's monitoring devices, its characterized in that is applied to GIS partial discharge monitoring system, monitoring system includes: the GIS partial discharge online monitoring subsystem is connected with the monitoring background; the monitoring background comprises: a fault self-diagnosis unit connected to the fault database; the device comprises:
the acquisition module is used for acquiring monitoring data from the target GIS partial discharge online monitoring subsystem;
the analysis module is used for analyzing the monitoring data through the fault self-diagnosis unit and determining the fault condition corresponding to the monitoring data;
the fault removing operation module is used for determining a fault reason and a fault position by using the fault database through the fault self-diagnosis unit when the fault condition is abnormal fault, and performing fault removing operation at the fault position according to a preset fault removing scheme;
the fault elimination state determination module is used for determining the elimination state of the fault abnormity through the fault self-diagnosis unit after the fault elimination operation is finished, and determining whether fault information containing fault conditions is generated or not according to the elimination state; and the fault information is used for informing operation and maintenance personnel to process the fault abnormity on site.
6. The GIS partial discharge monitoring device according to claim 5, wherein the fault self-diagnosis unit includes: the fault diagnosis and fault elimination system comprises a data scanning comparison subunit, a fault diagnosis positioning subunit and an automatic fault elimination control subunit which are connected in sequence, and a fault cause and effect function subunit which is connected with the data scanning comparison subunit; the obstacle removing operation module comprises:
the fault information determining submodule is used for determining the fault reason and the fault position on the basis of the fault database through the fault diagnosis positioning subunit when the fault condition is abnormal fault;
the fault operation submodule is used for responding to the received response function through the autonomous fault removal management and control subunit, performing fault removal operation at the fault position according to the fault removal scheme and according to the fault reason; the response function is obtained by combining the fault database according to the monitoring data by the fault cause and effect function subunit;
the analysis module is specifically configured to:
comparing and analyzing the data of the monitoring data at different time nodes in the same group and the data corresponding to different elements of the same time node through the data scanning and comparing subunit to obtain a comparison result; the comparison result is used to determine the fault condition.
7. The GIS partial discharge monitoring device according to claim 6, wherein the fault self-diagnosis unit further includes: the fault diagnosis log management subunit is mutually connected with the autonomous troubleshooting control subunit; the device still includes:
and the diary updating module is used for updating the fault diagnosis log through the fault diagnosis log management subunit according to the elimination state.
8. The device for monitoring GIS partial discharge according to claim 7, wherein the elimination status determination module comprises:
the secondary analysis submodule is used for analyzing the monitoring data again through the data scanning comparison subunit after the fault removing operation is finished so as to obtain a new fault condition;
the situation elimination sub-module is used for determining whether the fault abnormity is eliminated according to the new fault situation; if yes, the fault diagnosis log management subunit updates the fault diagnosis log; and if not, generating the fault information and updating the fault diagnosis log through the fault diagnosis log management subunit.
9. An electronic device comprising a processor and a memory, the memory storing computer readable instructions that, when executed by the processor, perform the method of any of claims 1-4.
10. A storage medium on which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the method according to any one of claims 1-4.
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| CN116545961A (en) * | 2023-07-03 | 2023-08-04 | 明阳时创(北京)科技有限公司 | Intelligent detection method and system for network switch clusters |
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| CN101907868A (en) * | 2010-08-05 | 2010-12-08 | 暨南大学珠海学院 | Intelligent trouble diagnosis method for tractive power supply system and system thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101907868A (en) * | 2010-08-05 | 2010-12-08 | 暨南大学珠海学院 | Intelligent trouble diagnosis method for tractive power supply system and system thereof |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116545961A (en) * | 2023-07-03 | 2023-08-04 | 明阳时创(北京)科技有限公司 | Intelligent detection method and system for network switch clusters |
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