CN106357002A - Intelligent signal processing system of power grid equipment - Google Patents
Intelligent signal processing system of power grid equipment Download PDFInfo
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- CN106357002A CN106357002A CN201610909507.8A CN201610909507A CN106357002A CN 106357002 A CN106357002 A CN 106357002A CN 201610909507 A CN201610909507 A CN 201610909507A CN 106357002 A CN106357002 A CN 106357002A
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 21
- 238000012098 association analyses Methods 0.000 claims abstract description 18
- 238000003745 diagnosis Methods 0.000 claims abstract description 15
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 15
- 230000001276 controlling effect Effects 0.000 claims description 11
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- H02J13/0013—
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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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
- Y04S10/40—Display of information, e.g. of data or controls
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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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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Abstract
The invention discloses an intelligent signal processing system of power grid equipment. A data layer is provided with a database module and a real-time information receiving module, an application layer is provided with an auxiliary decision making module, an abnormal signal association analysis and diagnosis module and a fault signal analysis and diagnosis module, and a user layer is provided with a human-machine interaction module and an online decision making module. The system comprises a real-time state and a research state, both of which can realize the association analysis and diagnosis of an equipment abnormal signal before the occurrence of an accident, a fault signal diagnosis function when the accident occurs, and timely assistance to the decision of the regulation and control personnel; and meanwhile, a historical signal analysis and diagnosis result can be inquired so as to provide historical data to the case analysis and training of the regulation and control personnel. The system has expandability and can be embedded with an SCADA/EMS system; and meanwhile, the system reserves partial interfaces to facilitate the compatibility with other systems. The intelligent signal processing system of the power grid equipment ensures the universality and independence of the system function.
Description
Technical field
The invention belongs to data interaction, analysis technical field are and in particular to a kind of grid equipment signal intelligent processing system.
Background technology
With national grid " three collection five the are big " propulsion of scheme and the continuous expansion of electrical network scale, power grid regulation personnel's
Operating pressure increasingly increases, and traditional analytical type EMS ems towards scheduling business focuses on that analysis electrical network is a certain
Various safety under running status, economic indicator, its information processing system lacks between the signals such as equipment fault, exception, alarm
Association analysiss.Power grid regulation personnel only lean on experience and intuition to judge grid equipment in the face of the magnanimity information above delivering to regulation and control center
The property of fault cannot meet the demand of current electric grid intelligent scheduling, and research and development collection scheduling business and monitoring business are one
The intelligent EMS ems of body is to ensure that power grid security, the stable, key of economical operation.
Under the regulation and control model of integration, grid equipment signal intelligent processing system collection model data exchange, signal monitoring, set
The association analysiss of standby exception and the functions such as diagnosis, fault diagnosis, knowledge base maintenance and signal inquiry, in one, receive and are derived from electric power
The abnormality alarming signal of data collecting system or EMS (abbreviation scada/ems) and fault-signal, bonding apparatus are different
Often association analysiss and fault diagnosis core algorithm, realize on-line intelligence analyzing and processing and the aid decision of signal.In practical application,
This system effectively improves the efficiency that regulation and control personnel analyze to electric network data it is ensured that the safe and stable operation of electrical network, possesses engineering
Using value.
Content of the invention
In order to overcome the defect of above-mentioned background technology, the present invention provides a kind of grid equipment signal intelligent processing system.
The technical scheme being adopted in order to solve the above-mentioned technical problem present invention is:
A kind of grid equipment signal intelligent processing system, data Layer is provided with DBM and real time information receiver module, application
Layer is provided with aid decision module, abnormal signal association analysiss diagnostic module and fault signal analysis diagnostic module, sets in client layer
There are man-machine interactive module and on-line decision module.
It is preferred that real time information receiver module receives dispatching automatically from electric power data acquisition system or EMS
The initial data of change system.
It is preferred that abnormal signal association analysiss diagnostic module passes through keyword extraction method, fuzzy recognition real time information connects
Receive the unit exception warning signal that module receives, with rule-based and example mixed inference mechanism, knowing in conjunction with specialist system
Know storehouse, the incidence relation between the interior for a period of time non-slot signal of Intelligent treatment, analyze unit exception reason and provide process to arrange
Apply, remind regulation and control personnel to process warping apparatus in time, hidden danger of fixing a breakdown.
It is preferred that fault signal analysis diagnostic module intercepts the fault message that real time information receiver module receives, judgement is
No for true fault, it is determined whether startup separator diagnoses core process, and the action situation in conjunction with switch protection determines equipment
Nature of trouble, assistant regulating and controlling personnel's accident treatment.
It is preferred that human-computer interaction module show in real time the signal of reception, grid equipment exception association analysiss and diagnostic result,
Fault diagnosis result, conveniently regulating and controlling personnel analysis and decision-making.
It is preferred that inclusion equipment class in DBM, and summarize according to the classification of equipment class abnormal phenomena class, cause
The reason phenomenon class.
The beneficial effects of the present invention is: system comprises real-time state and research state, all can achieve setting before accident is occurred
Fault-signal diagnostic function when the association analysiss of standby abnormal signal and diagnosis, accident generation, timely assistant regulating and controlling personnel's decision-making
Process；Meanwhile, it is capable to realize to historical signal analysis and diagnostic result inquiry, the analysis of cases for regulating and controlling personnel is provided with training
Historical data.System can the information such as automatic data collection real-time grid unit exception, alarm and fault, realize association analysiss with diagnose auxiliary
Help regulation and control personnel's decision-making.System has extensibility, can embed scada/ems system, simultaneity factor reserved part interface, convenience
Compatible with other system.This invention ensures that versatility and the independence of systemic-function.
Brief description
Fig. 1 is the system structure diagram of the embodiment of the present invention；
Fig. 2 is the workflow schematic diagram of embodiment of the present invention abnormal signal association analysiss diagnostic module；
Fig. 3 is the storage organization schematic diagram of the knowledge base in embodiment of the present invention DBM；
Fig. 4 is the systemic-function schematic flow sheet of the embodiment of the present invention.
Specific embodiment
The present invention is described further with reference to the accompanying drawings and examples.
A kind of grid equipment signal intelligent processing system, system adopts level framework and modularized design, as shown in figure 1,
Specifically include:
Data Layer is provided with DBM and real time information receiver module；
Application layer is provided with aid decision module, abnormal signal association analysiss diagnostic module and fault signal analysis diagnostic module etc.,
Analysis result presents to client layer user, is stored in data Layer simultaneously, extracts real time data to realize the intelligence of information from data Layer
Process；
Client layer is provided with human-computer interaction module and on-line decision module, according to the analysis result on-line decision of application layer, simultaneously
Can interact with application layer as needed, including knowledge base maintenance, improve accuracy and the efficiency of applied analysis.
Real time information receiver module receives and is derived from electric power data acquisition system or EMS dispatch automated system
Initial data.
Abnormal signal association analysiss diagnostic module passes through keyword extraction method, and fuzzy recognition real time information receiver module connects
The unit exception warning signal received, with rule-based and example mixed inference mechanism, in conjunction with the knowledge base of specialist system, intelligence
Process the incidence relation between non-slot signal in a period of time, analyze unit exception reason and treatment measures are provided, remind and adjust
Control personnel process warping apparatus in time, hidden danger of fixing a breakdown.Unit exception warning signal Intelligent treatment flow scheme design such as Fig. 2 institute
Show.
Fault signal analysis diagnostic module intercepts the fault message that real time information receiver module receives, and determines whether true
Fault, it is determined whether startup separator diagnoses core process, the action situation in conjunction with switch protection determines equipment fault property,
Assistant regulating and controlling personnel's accident treatment.
Human-computer interaction module shows that the signal of reception, grid equipment exception association analysiss and diagnostic result, fault are examined in real time
Disconnected result, conveniently regulating and controlling personnel analysis and decision-making.
Inclusion equipment class in DBM, and according to equipment class classification summarize abnormal phenomena class, cause phenomenon
Reason class.The problem solving process of specialist system is the mode of thinking simulating expert by the knowledge in knowledge base, therefore,
The quality of knowledge in knowledge base and quantity decide the quality level of specialist system.Expert system knowledge base runs according to concentrator station
Code and management and running code, collect the process strategy of simultaneously collator warning information, extract knowledge rule, and equipment of setting up is accused
Alarming information intelligent processing system static knowledge base.The reason mainly comprise equipment class, abnormal phenomena class in knowledge base, cause phenomenon
Class, simultaneously the knowledge of knowledge base by device type carry out classification summarize.The system mainly occurs to first and second equipment of electrical network
After exception, produced warning information is processed, wherein primary equipment include transformator, electromotor, chopper, disconnecting switch,
Circuit etc., secondary device includes protective relaying device, control and signal element, instrument etc..Each concrete equipment correspond to many
Plant abnormal phenomena, each abnormal phenomena is caused by many reasons again.Between equipment and abnormal phenomena, abnormal phenomena and reason it
Between for one-to-many relation；So equipment, abnormal phenomena, the reason cause phenomenon between constitute a kind of top-down level and close
System, can represent this hierarchical relationship by Fig. 3.
Certain abnormal phenomena may be caused by other abnormal phenomenas, for these abnormal phenomenas, in conjunction with the knowledge summarized
Rule, sets up the knowledge base of unified standard.The system keyword fuzzy match mode identifies in rule of correspondence storehouse
Abnormal phenomena.The form of wherein keyword is represented with bracket (" () ") and (" ＆ ") or (" Shu "), is according to priority searched
Rope, " () " is limit priority, next to that " ＆ ", is " Shu " again." ＆ " represents that the both keyword connecting must retrieve simultaneously
It is just true, " Shu " represents that the both keyword connecting only need to retrieve one of them and be very.For example, abnormal signal " chopper
The low warning of sf6 pressure ", actual signal may have " the low warning of chopper sf6 pressure ", " the low warning of chopper sf6 gas pressure ",
Need to be recognized using keyword " (chopper sf6 | chopper sf6 gas) the low warning of ＆ pressure "；" bus tv is simultaneously for abnormal signal
Array apparatus DC supply interruption ", actual signal may have " bus tv parallel device DC supply interruption ", " bus tv simultaneously equips
Put power supply to disappear ", " bus tv parallel device dead electricity " etc., need to be added with keyword " bus tv ＆ arranged side by side (disappearances of dead electricity Shu power supply) "
To recognize.Therefore in knowledge base, corresponding each abnormal phenomena is both needed to arrange corresponding keyword.
The groundwork flow process of specialist system is that regulation and control personnel answer the enquirement of system by man machine interface, and inference machine will
The information such as the unit exception of input are mated with each regular condition in knowledge base, and the conclusion being matched rule is deposited
To in integrated database.This system adopts the strategy of reverse links, and from selected target, finding execution consequence can reach
The rule of target；If the fact that in the premise of this rule and data base matches, problem is just resolved；Otherwise this
The premise of rule is as new sub-goal, and the rule that new sub-goal searching can be used, the rule to the last used
Premise can with data base in the fact match, or when not having rule can apply, system just please with dialogic operation again
Regulation and control personnel are asked to improve the knowledge of knowledge base.
For ensureing versatility, the independence of systemic-function, system is divided into real time information receiver module, unit exception alarm
Signal intelligent processing module, fault diagnosis module, systemic-function flow process is as shown in Figure 4.
Grid equipment signal intelligent processing system key feature is as follows:
(1) integrity.System comprises real-time state and research state, all can achieve the association of the unit exception signal before accident is occurred
Fault-signal diagnostic function when analysis and diagnosis, accident generation, timely assistant regulating and controlling personnel's decision-making treatment；Meanwhile, it is capable to it is real
Now to historical signal analysis and diagnostic result inquiry, the analysis of cases for regulating and controlling personnel provides historical data with training.
(2) intelligent.The information such as automatic data collection real-time grid unit exception, alarm and fault, realize association analysiss and examine
Disconnected assistant regulating and controlling personnel's decision-making.
(3) extensibility.System adopts vc++6.0 to develop core reasoning algorithm, can embed scada/ems system, simultaneously
System reserved part interface, convenient and other system is compatible.
It should be appreciated that for those of ordinary skills, can be improved according to the above description or be converted,
And all these modifications and variations all should belong to the protection domain of claims of the present invention.
Claims (6)
1. a kind of grid equipment signal intelligent processing system it is characterised in that: data Layer is provided with DBM and real time information
Receiver module, application layer is provided with aid decision module, abnormal signal association analysiss diagnostic module and fault signal analysis diagnosis mould
Block, is provided with human-computer interaction module and on-line decision module in client layer.
2. a kind of grid equipment signal intelligent processing system according to claim 1 it is characterised in that: described real time information
Receiver module receives the initial data from electric power data acquisition system or EMS dispatch automated system.
3. a kind of grid equipment signal intelligent processing system according to claim 1 it is characterised in that: described abnormal signal
Association analysiss diagnostic module passes through keyword extraction method, the unit exception alarm that fuzzy recognition real time information receiver module receives
Signal, with rule-based and example mixed inference mechanism, in conjunction with the knowledge base of specialist system, Intelligent treatment is interior for a period of time not
Incidence relation between slot signal, analyzes unit exception reason and provides treatment measures, reminds regulation and control personnel to process in time different
Set up standby, hidden danger of fixing a breakdown.
4. a kind of grid equipment signal intelligent processing system according to claim 1 it is characterised in that: described fault-signal
The fault message that analyzing and diagnosing module intercepts real time information receiver module receives, determines whether true fault, it is determined whether open
Dynamic fault diagnosis core process, the action situation in conjunction with switch protection determines equipment fault property, assistant regulating and controlling personnel's thing
Therefore process.
5. a kind of grid equipment signal intelligent processing system according to claim 1 it is characterised in that: described human-computer interaction
Module shows the signal of reception, grid equipment exception association analysiss and diagnostic result, fault diagnosis result, conveniently regulating and controlling people in real time
Member's analysis and decision-making.
6. a kind of grid equipment signal intelligent processing system according to claim 1 it is characterised in that: described data base's mould
Inclusion equipment class in block, and according to equipment class classification summarize abnormal phenomena class, cause phenomenon the reason class.
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| CN201610909507.8A CN106357002A (en) | 2016-10-19 | 2016-10-19 | Intelligent signal processing system of power grid equipment |
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| CN201610909507.8A CN106357002A (en) | 2016-10-19 | 2016-10-19 | Intelligent signal processing system of power grid equipment |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107621368A (en) * | 2017-09-04 | 2018-01-23 | 江西洪都航空工业集团有限责任公司 | A kind of engine expert diagnostic system based on trainer aircraft |
| CN108320029A (en) * | 2017-12-09 | 2018-07-24 | 国网山东省电力公司曹县供电公司 | A kind of electric power scheduling automatization system troubleshooting methodology |
| CN109389181A (en) * | 2018-10-30 | 2019-02-26 | 全球能源互联网研究院有限公司 | The correlation rule generation method and device of power grid anomalous event |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN109726214A (en) * | 2018-12-26 | 2019-05-07 | 国电南瑞科技股份有限公司 | A kind of equipment fault disposition aid decision-making method and system |
| CN111639921A (en) * | 2020-06-11 | 2020-09-08 | 广东电网有限责任公司 | Intelligent equipment fault judgment and auxiliary disposal method based on expert system |
| CN112147459A (en) * | 2020-08-12 | 2020-12-29 | 国电南瑞科技股份有限公司 | Power grid fault analysis device and method based on SCADA system |
| CN113344302A (en) * | 2021-07-08 | 2021-09-03 | 南方电网数字电网研究院有限公司 | Power grid auxiliary decision tool based on meteorological factors |
| CN113361859A (en) * | 2021-05-10 | 2021-09-07 | 国网上海市电力公司 | Power grid fault analysis decision system based on knowledge graph |
| CN117543840A (en) * | 2024-01-10 | 2024-02-09 | 湖北中巽泰科技有限公司 | Intelligent analysis and auxiliary decision-making system based on centralized monitoring data of transformer substation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107621368B (en) * | 2017-09-04 | 2020-04-28 | 江西洪都航空工业集团有限责任公司 | Engine expert diagnostic system based on trainer |
| CN107621368A (en) * | 2017-09-04 | 2018-01-23 | 江西洪都航空工业集团有限责任公司 | A kind of engine expert diagnostic system based on trainer aircraft |
| CN108320029A (en) * | 2017-12-09 | 2018-07-24 | 国网山东省电力公司曹县供电公司 | A kind of electric power scheduling automatization system troubleshooting methodology |
| CN109450085B (en) * | 2018-10-24 | 2022-06-07 | 云南电网有限责任公司电力科学研究院 | Equipment abnormity alarm signal processing system based on scheduling and control integration |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN109389181A (en) * | 2018-10-30 | 2019-02-26 | 全球能源互联网研究院有限公司 | The correlation rule generation method and device of power grid anomalous event |
| CN109389181B (en) * | 2018-10-30 | 2020-11-24 | 全球能源互联网研究院有限公司 | Association rule generation method and device for power grid abnormal event |
| CN109726214A (en) * | 2018-12-26 | 2019-05-07 | 国电南瑞科技股份有限公司 | A kind of equipment fault disposition aid decision-making method and system |
| CN111639921A (en) * | 2020-06-11 | 2020-09-08 | 广东电网有限责任公司 | Intelligent equipment fault judgment and auxiliary disposal method based on expert system |
| CN111639921B (en) * | 2020-06-11 | 2023-02-17 | 广东电网有限责任公司 | Intelligent equipment fault judgment and auxiliary disposal method based on expert system |
| CN112147459A (en) * | 2020-08-12 | 2020-12-29 | 国电南瑞科技股份有限公司 | Power grid fault analysis device and method based on SCADA system |
| CN113361859A (en) * | 2021-05-10 | 2021-09-07 | 国网上海市电力公司 | Power grid fault analysis decision system based on knowledge graph |
| CN113344302A (en) * | 2021-07-08 | 2021-09-03 | 南方电网数字电网研究院有限公司 | Power grid auxiliary decision tool based on meteorological factors |
| CN117543840A (en) * | 2024-01-10 | 2024-02-09 | 湖北中巽泰科技有限公司 | Intelligent analysis and auxiliary decision-making system based on centralized monitoring data of transformer substation |
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Application publication date: 20170125 |