CN111914127A - Online monitoring and diagnosing method for running state of secondary equipment of transformer substation - Google Patents
Online monitoring and diagnosing method for running state of secondary equipment of transformer substation Download PDFInfo
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- CN111914127A CN111914127A CN202010520928.8A CN202010520928A CN111914127A CN 111914127 A CN111914127 A CN 111914127A CN 202010520928 A CN202010520928 A CN 202010520928A CN 111914127 A CN111914127 A CN 111914127A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/904—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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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 an online monitoring and diagnosing method for the running state of secondary equipment of a transformer substation, belonging to the technical field of transformer substation automation. The invention comprises the following steps: recording basic information of equipment and running state information of the equipment in a database; step two: constructing a universal rule base of the intelligent diagnosis module; step three: starting an intelligent diagnosis module, reading a diagnosis rule and diagnosing equipment by the intelligent diagnosis module, and generating a diagnosis report if the equipment is abnormal; step four: starting a monitoring interface module, acquiring basic equipment information from a database by the monitoring interface module, and generating the basic equipment information into an equipment list; step five: the monitoring interface module receives the equipment name and the diagnosis report of the intelligent diagnosis module; the invention reduces the workload of manual configuration of the diagnosis rules, provides a secondary equipment running state monitoring tool with friendly interface, comprehensive information and convenient and quick operation for operation and maintenance personnel, and effectively improves the operation and maintenance efficiency of the transformer substation.
Description
Technical Field
The invention relates to an online monitoring and diagnosing method for the running state of secondary equipment of a transformer substation, belonging to the technical field of transformer substation automation.
Background
Along with the large-scale construction of the intelligent substation, the optical cable replaces a cable, a secondary hard wiring loop and a pressing plate are changed into a virtual loop and a soft pressing plate, the secondary loop and the soft pressing plate are invisible, and the operation and maintenance difficulty of secondary equipment is high and errors are prone to occurring. In recent years, in order to improve the efficiency and the safety of operation and maintenance work of secondary equipment, the monitoring and diagnosis technology of the operation state of the secondary equipment is more and more emphasized, the technology can provide a visual and effective monitoring tool of the state of the secondary equipment for operation and maintenance maintainers by analyzing and diagnosing the operation state of the secondary equipment, and provides technical means and an auxiliary decision basis for daily operation and maintenance, abnormal handling, maintenance safety measures and intelligent analysis of power grid accidents of a transformer substation, so that the operation and maintenance efficiency and the operation safety of the transformer substation are comprehensively improved.
At present, when a secondary equipment state monitoring and diagnosing function is arranged in a transformer substation, on one hand, a diagnosing rule needs to be configured for each equipment when a rule base is established, on the other hand, a secondary equipment operation state monitoring sub-graph needs to be drawn on a graph, information such as the operation state, the pressure plate name, the pressure plate state, the pressure plate diagnosing result and the like of the secondary equipment is displayed on the sub-graph through drawing primitives, the secondary equipment state diagnosis can identify the pressure plate in an abnormal state, then the diagnosing result is reflected through the color or the flickering state of the primitives on a monitoring picture, and an alarming message is generated on an alarming window, so that operation and maintenance personnel are prompted.
By adopting the existing scheme, the workload of manual configuration is very large, a rule base needs to be configured, a secondary equipment operation state monitoring graph needs to be drawn, data objects in the rule base, pressing plate primitives on the graph and pressing plate diagnosis result primitives need to be manually associated with corresponding signals in the database, the workload of configuration is large, the condition of association errors is easy to occur, once the association errors occur, operation and maintenance personnel can mistakenly judge the equipment operation state, further wrong operation is caused, and the operation safety of a transformer substation is threatened.
Disclosure of Invention
In order to solve the problems, the invention aims to provide an intuitive and effective secondary equipment state monitoring tool for operation and maintenance maintainers, and provide technical means and auxiliary decision basis for the intelligent analysis of the daily operation and maintenance, exception handling, maintenance safety measures and power grid accidents of a transformer substation.
Therefore, the method for monitoring and diagnosing the running state of the secondary equipment of the transformer substation on line is provided, and the method comprises the following specific steps:
the method comprises the following steps: recording basic information of equipment and running state information of the equipment in a database;
step two: constructing a universal rule base of the intelligent diagnosis module, wherein the rule base only establishes one set of universal rules for each type of equipment;
step three: starting an intelligent diagnosis module, reading the diagnosis rule and diagnosing equipment by the intelligent diagnosis module, and generating a diagnosis report if the equipment is abnormal;
step four: starting a monitoring interface module, wherein the monitoring interface module acquires the basic information of the equipment from the database and generates the basic information of the equipment into an equipment list; the monitoring interface module acquires a diagnosis report from the intelligent diagnosis module and generates the diagnosis report into monitoring information;
step five: the monitoring interface module receives the equipment name and the diagnosis report of the intelligent diagnosis module; and if the result of the diagnosis report is abnormal, informing the diagnosis report to the monitoring interface module.
The third step comprises the following specific steps: when the intelligent diagnosis module diagnoses the equipment, the intelligent diagnosis module firstly acquires the basic information and the running state information of the equipment from the database, matches the equipment type with the corresponding diagnosis rule in the general rule base, generates an instantiation diagnosis rule of the equipment in an automatic mapping mode, and compares the real-time state information related to the pressing plate under the diagnosis rule with a reference value in the diagnosis rule.
The scheme is further improved in that: the diagnostic rule format of the rule base in the second step is as follows: when the secondary equipment operation state is in the operation/maintenance state and the alternate primary equipment operation state is in the operation/hot standby/cold standby/maintenance state, the pressing plate should be put in/taken out.
The scheme is further improved in that: in the third step, the intelligent diagnosis module compares the real-time state information related to the pressing plate under the diagnosis rule with a reference value in the diagnosis rule, and if the comparison is inconsistent, the state of the pressing plate is judged to be abnormal; if the abnormal pressing plate exists in the equipment, judging that the running state of the equipment is abnormal; if the equipment involved in diagnosis is not changed compared with the equipment in the last diagnosis, a diagnosis report is not generated, if the equipment is changed, the diagnosis report is generated, and the data is transmitted to the monitoring interface module.
The scheme is further improved in that: the concrete steps of the fifth step are as follows: if the diagnosis result of the equipment is changed from normal to abnormal, the warning display equipment displays: and lifting the corresponding equipment to the forefront end of the left equipment list in the interface left side equipment list in the warning display equipment, adding a warning icon in front of the name of the equipment, setting the name of the equipment to be in a selected state, and synchronously displaying the monitoring information of the equipment on the right side of the interface of the warning display equipment until the diagnosis result of the equipment becomes normal.
The scheme is further improved in that: the clamp plate is including overhauing clamp plate, SV receiving clamp plate, GOOSE and sending the clamp plate, GOOSE receives clamp plate and protect function clamp plate.
The scheme is further improved in that: the device basic information and the device operating state information include: the method comprises the following steps of equipment name, plant station to which the equipment belongs, equipment running state, equipment belonging interval, interval primary equipment running state, diagnosis result, diagnosis time and pressing plate information, wherein the pressing plate information comprises pressing plate name, pressing plate current state, pressing plate reasonable state and pressing plate diagnosis result.
The scheme is further improved in that: the data objects in the diagnosis rules are described in the mode of an AliasKey keyword.
The invention has the beneficial effects that: the invention reduces the workload of manual configuration of the diagnosis rules, avoids the condition of manual configuration errors, reduces the workload of manual drawing of pictures and associated signals, avoids the condition of manual association errors, provides a secondary equipment running state monitoring tool with friendly interface, comprehensive information and convenient and quick operation for operation and maintenance personnel, and effectively improves the operation and maintenance efficiency of the transformer substation.
Drawings
FIG. 1 is a block diagram of an embodiment of the present invention;
fig. 2 is a diagram of an aliaskkey key of an embodiment of the present invention.
Detailed Description
Examples
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
As shown in fig. 1, the overall architecture of the online monitoring and diagnosis method includes an intelligent diagnosis module and a monitoring interface module, and the monitoring interface module is provided with a warning display device, which is generally a display.
A transformer substation secondary equipment operation state on-line monitoring and diagnosis method comprises the following specific steps:
the method comprises the following steps: recording basic information of equipment and running state information of the equipment in a database; the device basic information and the device operation state information include: the equipment name, the plant station to which the equipment belongs, the equipment running state, the equipment belonging interval, the equipment running state at one time interval, the diagnosis result, the diagnosis time, the pressing plate information and the pressing plate information comprise the pressing plate name, the current pressing plate state, the reasonable pressing plate state and the pressing plate diagnosis result.
Step two: constructing a universal rule base of the intelligent diagnosis module, and only establishing a set of diagnosis rules for each type of equipment, wherein the diagnosis rules of the rule base are described in a keyword mode; as shown in fig. 2, the data objects in the diagnosis rule are described by means of the alias key.
The diagnostic rule format of the rule base is: when the secondary equipment operation state is in the operation/maintenance state and the alternate primary equipment operation state is in the operation/hot standby/cold standby/maintenance state, the pressing plate should be put in/taken out. The clamp plate is including overhauing clamp plate, SV receiving clamp plate, GOOSE and sending the clamp plate, GOOSE receives clamp plate and protect function clamp plate.
Taking a differential protection soft pressure plate of a channel involved in a diagnosis rule of line protection as an example, the alias key keyword of the pressure plate is "S _ default.b _ default.line _ default.rly _ default.funcen _ ena1. stval".
When an instantiation rule of some actual equipment is generated, the pressing plate needs to be automatically mapped, and firstly, corresponding station information and primary equipment information protected by the protection device are retrieved from a database according to basic information of the equipment; then, based on the primary equipment information, the interval where the primary equipment is located and the corresponding Line equipment information can be retrieved, so that the instantiations of fields such as 'S _ Default', 'B _ Default', 'Line _ Default', 'Rly _ Default', and the like are realized, and 'funcena 1. stval' describes the attribute of the secondary equipment, and a channel-differential protection soft pressing plate under the device can be uniquely determined, so that the channel-differential protection soft pressing plate is mapped to a data object corresponding to the pressing plate in a monitoring system database.
Step three: and starting the intelligent diagnosis module, reading the diagnosis rule and diagnosing the equipment by the intelligent diagnosis module, and generating a diagnosis report if the equipment is abnormal.
When the intelligent diagnosis module diagnoses the equipment, the intelligent diagnosis module firstly acquires basic information of the equipment from the database, matches the corresponding diagnosis rule in the rule base through the equipment type, converts a data object in the diagnosis rule into an actual object in the database in an automatic mapping mode through the Aliskey key words to form an instantiated diagnosis rule of the equipment, and then compares real-time state information related to a pressing plate under the diagnosis rule with a reference value in the diagnosis rule.
The intelligent diagnosis module compares the real-time state information related to the pressing plate under the diagnosis rule with a reference value in the diagnosis rule, and if the comparison is inconsistent, the state of the pressing plate is judged to be abnormal; if the abnormal pressing plate exists in the equipment, judging that the running state of the equipment is abnormal; if the equipment involved in diagnosis is not changed compared with the equipment in the last diagnosis, a diagnosis report is not generated, if the equipment is changed, the diagnosis report is generated, and the data is transmitted to the monitoring interface module.
Step four: starting a monitoring interface module: the monitoring interface module acquires basic equipment information from the database and generates the basic equipment information into an equipment list; the monitoring interface module obtains the diagnosis report from the intelligent diagnosis module and generates the diagnosis report as monitoring information.
Step five: the monitoring interface module receives the equipment name and the diagnosis report of the intelligent diagnosis module; if the result of the diagnosis report is abnormal, the diagnosis report is notified to the monitoring interface module; if the diagnosis result of the diagnosed equipment is changed from normal to abnormal, the corresponding equipment is lifted to the forefront of the list in the left equipment list of the interface of the warning display equipment, a warning icon is added in front of the equipment name and is set to be in a selected state, and the monitoring information of the equipment is synchronously displayed on the right side of the interface of the warning display equipment. The abnormal device will always remain in the front of the device list until its diagnostic result becomes normal.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowcharts.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (7)
1. A transformer substation secondary equipment operation state on-line monitoring and diagnosis method is characterized by comprising the following specific steps:
the method comprises the following steps: recording basic information of equipment and running state information of the equipment in a database;
step two: constructing a universal rule base of an intelligent diagnosis module, wherein the rule base diagnoses each type of equipment to establish a set of universal rules;
step three: starting an intelligent diagnosis module, reading the diagnosis rule and diagnosing equipment by the intelligent diagnosis module, and generating a diagnosis report if the equipment is abnormal;
step four: starting a monitoring interface module, wherein the monitoring interface module acquires the basic information of the equipment from the database and generates the basic information of the equipment into an equipment list;
the monitoring interface module acquires a diagnosis report from the intelligent diagnosis module and generates the diagnosis report into monitoring information;
step five: the monitoring interface module receives the equipment name and the diagnosis report of the intelligent diagnosis module; if the result of the diagnosis report is abnormal, the diagnosis report is notified to the monitoring interface module;
the third step comprises the following specific steps: when the intelligent diagnosis module diagnoses the equipment, the intelligent diagnosis module firstly acquires the basic information and the running state information of the equipment from the database, matches the equipment type with the corresponding diagnosis rule in the rule base, generates an instantiation diagnosis rule of the equipment in an automatic mapping mode, and compares the real-time state information related to the pressing plate under the diagnosis rule with the reference value in the diagnosis rule.
2. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: the diagnostic rule format of the rule base in the second step is as follows: when the secondary equipment operation state is in the operation/maintenance state and the alternate primary equipment operation state is in the operation/hot standby/cold standby/maintenance state, the pressing plate should be put in/taken out.
3. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: in the third step, the intelligent diagnosis module compares the real-time state information related to the pressing plate under the diagnosis rule with a reference value in the diagnosis rule, and if the comparison is inconsistent, the state of the pressing plate is judged to be abnormal; if the abnormal pressing plate exists in the equipment, judging that the running state of the equipment is abnormal; if the equipment involved in diagnosis is not changed compared with the equipment in the last diagnosis, a diagnosis report is not generated, if the equipment is changed, the diagnosis report is generated, and the data is transmitted to the monitoring interface module.
4. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: the concrete steps of the fifth step are as follows: if the diagnosis result of the equipment is changed from normal to abnormal, the warning display equipment displays: and lifting the corresponding equipment to the forefront end of the left equipment list in the interface left side equipment list in the warning display equipment, adding a warning icon in front of the name of the equipment, setting the name of the equipment to be in a selected state, and synchronously displaying the monitoring information of the equipment on the right side of the interface of the warning display equipment until the diagnosis result of the equipment becomes normal.
5. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: the clamp plate is including overhauing clamp plate, SV receiving clamp plate, GOOSE and sending the clamp plate, GOOSE receives clamp plate and protect function clamp plate.
6. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: the device basic information and the device operating state information include: the method comprises the following steps of equipment name, plant station to which the equipment belongs, equipment running state, equipment belonging interval, interval primary equipment running state, diagnosis result, diagnosis time and pressing plate information, wherein the pressing plate information comprises pressing plate name, pressing plate current state, pressing plate reasonable state and pressing plate diagnosis result.
7. The substation secondary equipment operating state online monitoring and diagnosis method of claim 1, characterized in that: the data objects in the diagnosis rules are described in the mode of an AliasKey keyword.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010520928.8A CN111914127A (en) | 2020-06-10 | 2020-06-10 | Online monitoring and diagnosing method for running state of secondary equipment of transformer substation |
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| CN202010520928.8A CN111914127A (en) | 2020-06-10 | 2020-06-10 | Online monitoring and diagnosing method for running state of secondary equipment of transformer substation |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114168376A (en) * | 2022-02-11 | 2022-03-11 | 深圳市北电仪表有限公司 | Equipment data diagnosis method, device, equipment and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106532944A (en) * | 2016-11-30 | 2017-03-22 | 国网江苏省电力公司淮安供电公司 | Online monitoring and intelligent diagnosis method for secondary overhaul safety precautions of transformer substation |
| US20170131705A1 (en) * | 2015-11-11 | 2017-05-11 | Yokogawa Electric Corporation | Field device, field device system, and diagnostic method |
| CN108923529A (en) * | 2018-05-14 | 2018-11-30 | 许继集团有限公司 | A kind of intelligent substation secondary peace arranges diagnostic method and system |
| CN108931972A (en) * | 2018-06-25 | 2018-12-04 | 国电南瑞科技股份有限公司 | A kind of substation secondary device condition intelligent diagnostic method based on model-driven |
-
2020
- 2020-06-10 CN CN202010520928.8A patent/CN111914127A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170131705A1 (en) * | 2015-11-11 | 2017-05-11 | Yokogawa Electric Corporation | Field device, field device system, and diagnostic method |
| CN106532944A (en) * | 2016-11-30 | 2017-03-22 | 国网江苏省电力公司淮安供电公司 | Online monitoring and intelligent diagnosis method for secondary overhaul safety precautions of transformer substation |
| CN108923529A (en) * | 2018-05-14 | 2018-11-30 | 许继集团有限公司 | A kind of intelligent substation secondary peace arranges diagnostic method and system |
| CN108931972A (en) * | 2018-06-25 | 2018-12-04 | 国电南瑞科技股份有限公司 | A kind of substation secondary device condition intelligent diagnostic method based on model-driven |
Non-Patent Citations (1)
| Title |
|---|
| 徐祥海等: "基于多源数据的保护就地化变电站智能感知与诊断技术研究", 《电气技术》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114168376A (en) * | 2022-02-11 | 2022-03-11 | 深圳市北电仪表有限公司 | Equipment data diagnosis method, device, equipment and readable storage medium |
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