CN110410279A - A kind of Wind turbines trouble hunting method and system based on structural knowledge library - Google Patents
A kind of Wind turbines trouble hunting method and system based on structural knowledge library Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- G06Q50/06—Energy or water supply
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
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- 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
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Abstract
The Wind turbines trouble hunting method based on structural knowledge library that the invention discloses a kind of, comprising: S01, the structural knowledge library for establishing Wind turbines failure；And the operation data of Wind turbines is acquired in real time；S02, when Wind turbines failure, to fault message carry out validity discrimination；When failure is effective, into S03；S03, operation data, fault message and failure Wind turbines seat in the plane information are sent in structural knowledge library, matching obtains troubleshooting scheme.Invention additionally discloses a kind of trouble hunting systems, including the first module, for acquiring the operation data of Wind turbines；Second module, for carrying out validity discrimination to fault message in Wind turbines failure；And third module, for when failure is effective, operation data, fault message and failure Wind turbines seat in the plane information to be sent in preset structural knowledge library, matching obtains troubleshooting scheme.Method and system of the invention have many advantages, such as inspection standard and high-efficient.
Description
Technical field
The invention mainly relates to technical field of wind power generation, refer in particular to a kind of Wind turbines failure based on structural knowledge library
Repair method and system.
Background technique
Wind turbines be collect mechanical part and electrical system large-scale electromechanical integration equipment, run on more high temperature, severe cold,
The severe place of the natural conditions such as thunderstorm, high poster, high wind sand, fan design service life are up to 20 years.Effective operation dimension
Shield, is to ensure that blower plays the key factor of optimum performance in Life cycle.But the tradition of China's wind-powered electricity generation industry at present
Maintenance mode is also there is a problem that 1) at present in wind power generating set maintenance process, mostly according to traditional papery method
Carry out line under experience summarize and transmit, cause the succession of maintenance experience not in time, not comprehensively, cannot be to different configuration of unit
The Auto-matching of repair method is carried out, cannot be effectively by fault experience structuring, regularization, and then ultimate criterion, experience pass
Low efficiency is passed, equipment obstacle management majority is to rely on experienced operation maintenance personnel, relies on journey for experienced operation maintenance personnel
Degree is high；2) operation maintenance personnel quality and technical level be not whole high, and technology, opening up is inadequate, business and the insufficient not side of technical training
Just, O&M ability is badly in need of upgrading.
Summary of the invention
The technical problem to be solved in the present invention is that, for technical problem of the existing technology, the present invention provides one
Kind inspection standard and the high-efficient Wind turbines trouble hunting method and system based on structural knowledge library.
In order to solve the above technical problems, technical solution proposed by the present invention are as follows:
A kind of Wind turbines trouble hunting method based on structural knowledge library, comprising the following steps:
S01, the corresponding structural knowledge library of Wind turbines failure is established；And during running of wind generating set, adopt in real time
Collect the operation data of Wind turbines；
S02, when Wind turbines failure, to fault message carry out validity discrimination；When failure is effective, into next step
Suddenly；
S03, operation data, fault message and failure Wind turbines seat in the plane information are sent in structural knowledge library,
Matching obtains troubleshooting scheme.
Preferably, in step S01, the Wind turbines include wind power plant Wind turbines centralized monitoring system or/and wind
The operation data of electric field Wind turbines condition monitoring system.
Preferably, the wind power plant Wind turbines centralized monitoring system operation data includes control system of wind turbines transmission
Data: telemetry station or/and remote signalling point；Wherein telemetry station is analog signals, and remote signalling point is digital quantity signal, Wind turbines control
System is for monitoring Wind turbines sensor and control module.
Preferably, in step S02, the process of validity discrimination are as follows: within a preset time, failure Wind turbines are carried out
Remote reset；After preset time, failure vanishes then judge that failure is invalid, otherwise judge that failure is effective.
Preferably, by automatically reseting instruction or hand-reset mode carries out remote reset.
Preferably, the preset time is 10~15 minutes.
Preferably, in step S03, the seat in the plane information of failure Wind turbines includes the seat in the plane number of failure Wind turbines, hard
One of part configuration information, software version, historical failure information, trouble hunting record are a variety of.
Preferably, after step S03, after obtaining troubleshooting scheme, triggering maintenance work order.
Preferably, the project in the structural knowledge library includes fault category number, fault category title, problem volume
Number, problem, reason number, reason, measure number, measure and effective measures number.
The Wind turbines trouble hunting system based on structural knowledge library that invention additionally discloses a kind of, including
First module, for acquiring the operation data of Wind turbines in real time during running of wind generating set；
Second module, for carrying out validity discrimination to fault message in Wind turbines failure；And
Third module is used for when failure is effective, by operation data, fault message and failure Wind turbines seat in the plane information
It is sent in preset structural knowledge library, matching obtains troubleshooting scheme.
Preferably, first module is that data unit operation uses module, is concentrated for acquiring wind power plant Wind turbines
The operation data of monitoring system or/and wind power plant Wind turbines condition monitoring system.
Preferably, the wind power plant Wind turbines condition monitoring system and control system of wind turbines pass through MODBUS/TCP
It is connected by communication, the analog signals and digital quantity signal for acquisition control system.
Compared with the prior art, the advantages of the present invention are as follows:
Wind turbines trouble hunting method based on structural knowledge library of the invention, by the event of Wind turbines occurred
Barrier and failure reason analysis and treatment measures according to certain coding rule form structural data after being standardized, and establish knot
Structure knowledge base；After breaking down, corresponding troubleshooting scheme is gone out by fault message, operation data Auto-matching, and
It pushes service personnel stationed abroad and carries out quick defect elimination processing, reduce fault correction time, improve Wind turbines trouble hunting efficiency.
Wind turbines trouble hunting device based on structural knowledge library of the invention not only has described in method as above
Advantage, and structure is simple, easy to operate.
Detailed description of the invention
Fig. 1 is the correspondence diagram of method and apparatus of the invention.
Specific embodiment
Below in conjunction with Figure of description and specific embodiment, the invention will be further described.
As shown in Figure 1, the Wind turbines trouble hunting method based on structural knowledge library of the present embodiment, including following step
It is rapid:
S01, the corresponding structural knowledge library of Wind turbines failure is established；And during running of wind generating set, adopt in real time
Collect the operation data of Wind turbines；
S02, when Wind turbines failure, to fault message carry out validity discrimination；When failure is effective, into next step
Suddenly；
S03, operation data, fault message and failure Wind turbines seat in the plane information are sent in structural knowledge library,
Matching obtains troubleshooting scheme.
Wind turbines trouble hunting method based on structural knowledge library of the invention, by the event of Wind turbines occurred
Barrier and failure reason analysis and treatment measures according to certain coding rule form structural data after being standardized, and establish knot
Structure knowledge base；After breaking down, corresponding troubleshooting scheme is gone out by fault message, operation data Auto-matching, and
It pushes service personnel stationed abroad and carries out quick defect elimination processing, reduce fault correction time, improve Wind turbines trouble hunting efficiency.
As shown in Figure 1, the invention also discloses a kind of Wind turbines trouble hunting system based on structural knowledge library, packet
It includes
First module, for acquiring the operation data of Wind turbines in real time during running of wind generating set；
Second module, for carrying out validity discrimination to fault message in Wind turbines failure；And
Third module is used for when failure is effective, by operation data, fault message and failure Wind turbines seat in the plane information
It is sent in preset structural knowledge library, matching obtains troubleshooting scheme.
Wind turbines trouble hunting system based on structural knowledge library of the invention equally has described in method as above
Advantage, and structure is simple, is easily achieved.
In the present embodiment, the first module is that data unit operation uses module, is concentrated for acquiring wind power plant Wind turbines
The operation data of monitoring system or/and wind power plant Wind turbines condition monitoring system；Wind power plant Wind turbines condition monitoring system
It is connected by communication with control system of wind turbines by MODBUS/TCP, the analog signals and digital quantity for acquisition control system
Signal.
As shown in Figure 1, a kind of specifically Wind turbines trouble hunting system based on structural knowledge library is provided, it is main to wrap
Four main modulars such as data acquisition module containing running of wind generating set, structuring fault knowledge library, equipment account, work order module.
Fault code is compared with the equipment concrete configuration situation of blower account module in the event of a failure, is known from structuring failure
Know in library and match optimal failure reason analysis and repair method, processing result is fed back to event after distributing and verify by work order
Hinder examination and repair system, the rule for carrying out failure cause and repair method carries out validity statistics, if newly-increased failure cause and maintenance
Method, then by service engineer after work order module carries out non-structured text and picture description, by the knowledge engineering of profession
It increases newly after Shi Jinhang confirmation into structural knowledge library, the backfill and dynamic for forming knowledge update.
Wind turbines trouble hunting system of the invention is combined with repair method below, is specifically described:
As shown in Figure 1, wherein integrating control/SCADA as the external system of wind-powered electricity generation trouble hunting system, for acquiring in Fig. 1
The unit real-time running data and vibration monitoring data that control system of wind turbines and CMS system are passed back；Wherein data granularity
For second grade and grade；Integrate control and receives wind power plant SCADA and CMS by agreements such as MODBUS/TCP or OPC as general headquarters or region
Data；Wherein SCADA is wind power plant Wind turbines centralized monitoring system；CMS is wind power plant Wind turbines condition monitoring system；
SCADA acquires the data of control system of wind turbines transmission by MODBUS/TCP, includes 300 multinomial telemetry stations or remote signalling point.
Wherein control system of wind turbines is for monitoring wind turbine sensor and control module；Remote signalling point is the number that control system is sent
Signal, value are 1 or 0；Telemetry station is the analog signals that control system is sent, and value is the data of variation.
After collecting control/SCADA system acquisition fan operation data, by the failure of Wind turbines/warning code and seat in the plane number
The data unit operation acquisition module of wind-powered electricity generation trouble hunting system is transferred to by software middle table；Wherein, Wind turbines failure/
Alerting code is wind-powered electricity generation machine control system by certain relay protective scheme, for determining that wind turbine is in the volume of failure or warning level
Code；Each failure passes through code inside the control system and binds corresponding failure triggering logic；Seat in the plane number is Wind turbines number,
Coding rule meets RDS-PP coding rule；RDS-PP coding rule is the position suitable for wind-powered electricity generation industry that German military project is write
And function coding rule, the batch application in wind-powered electricity generation industry.
From the newest hardware of blower account module calls blower after the data unit operation acquisition module number of confirming aero seats information
Configuration information and software version information, and the corresponding trouble hunting record of historical failure information for transferring this blower.Wherein hardware
Configuration information is hardware tree structure of the Wind turbines based on the position encoded regular data of RDS-PP, includes each level SBOM and production
Product sequence number；Software version information is the software version number of control system, can inquire failure by version number and trigger logic.
Data unit operation acquisition module receives after the fault message of collection control/SCADA transmission that (time could by 10 minutes
It is default) validity discrimination, for distinguishing whether failure needs human intervention to handle, in 15 minutes, control system can be passed through
It automatically resets and instructs or remote reset is carried out by SCADA hand-reset mode, failure is not eliminated after 15 minutes, there is judgement
Failure is effective and is sent to structural knowledge library for matching optimal troubleshooting scheme；
Subordinate list 1 shows a kind of specific implementation in structural knowledge library, specifically comprising fault category number, failure classes alias
Title, question number, problem, reason number, reason, measure number, measure and effective measures number.
Subordinate list 1:
Wherein, fault category is encoded to the Sub-system Number based on the position encoded system of RDS-PP, as MDA represents wheel hub control
System processed；
Fault category is the classification of Wind turbines internal subsystems, such as engine room control cabinet, hydraulic system, tower, blade, wheel hub
Control system, transmission system, current transformer etc., subfamily position code are corresponded to according to the position of problem component, are labeled as problem
Component corresponds to subsystem position coding；
Failure number is malfunction coding of the control system fault code after standardization, as 2MW serial fan failure is
WT2000+ control system fault code；
Failure reports failure by control system, corresponds with fault code；
Fault logic is the corresponding triggering logic of failure, according to program setting inside the control system；
Fault level is artificially determining fault level；
Question number is problem serial number, and P represents PROBLEM, automatically forms when by by each problem typing new
Question number；
Problem is the specific component that each problem is marked the problem of can recognizing fault logic triggering with derivation program
It need to show that drawing identifier when product design and RDS-PP are position encoded simultaneously；
Reason number is the number analyzed the reason of leading to correspondence problem, and number is serial number, and R represents REASON, is passed through
The specific producing cause of each problem is analyzed, a reason there can be a solution, there can also be multiple solutions
Certainly measure；
Measure number be solve the problems, such as corresponding to reason measure number, number is serial number, and A represents ACTION, is passed through
By there is no problem, reason countermeasure carries out structured coding；
Measure be solve the problems, such as corresponding to reason measure, blower can be overhauled by this measure and restore blower
Operation；
Effective measures number is that maintenance restores the effective degree after blower successfully resumes operation, and effective degree statistics needs to tie
It closes SCADA data and is confirmed by a formula, confirm formula are as follows: after such as handling certain blower failure, fault diagnosis
Expert system can periodically read state of the centralized control system about this blower, this blower quotes identical event again such as in 1 hour
Barrier, then this knowledge effectiveness item number is 1/240；If n (n < 240) quotes same fault in hour, then this knowledge effectiveness
Item number is n/240.Same fault is not such as reported in 240 hours, then this knowledge effectiveness item number is 1.
After structural knowledge library retrieves dependent failure treatment measures by fault code and seat in the plane number, according to effective failure
Number sorts from high to low, pushes to WorkForm System, triggers and overhauls work order, to extensive using which kind of knowledge success after Awaiting Overhaul
A group operation of answering a pager's call confirmed, if the reason not corresponded in original structure knowledge base and measure can successfully repair blower, then
Related data is backfilled to structural knowledge library by work order, and is increased newly after being confirmed by corresponding knowledge engineer to structure
Change in knowledge base.
Structural knowledge library links to account system by the position encoded of problem component, inquires this fan part position
History overhauls resume and software and hardware configuration situation, and history is overhauled resume and software and hardware configuration data-pushing to WorkForm System, then
Overhaul data is analyzed and is confirmed.
After work order is closed, the treatment measures of problem are confirmed, letter is updated to the software and hardware of problem component locations
Breath is confirmed that relevant information is backfilled to structural knowledge library and account system.
The progress validity discrimination after receiving work order module backfill treatment measures confirmation message of structural knowledge library, and
Dynamic is updated in structural knowledge library.
After the software and hardware modification information for receiving the backfill of work order module, dynamic updates blower account module, and is formed new
Software and hardware version number, and to each work order be entered into blower history overhaul resume.
The software and hardware version number is after each software changes, to read after software version from SCADA system, hardware version
This number is serial number, and after each hardware change, hardware version numbers system adds 1 automatically.
The above is only the preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-described embodiment,
All technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
For those of ordinary skill, several improvements and modifications without departing from the principles of the present invention should be regarded as protection of the invention
Range.
Claims (12)
1. a kind of Wind turbines trouble hunting method based on structural knowledge library, which comprises the following steps:
S01, the corresponding structural knowledge library of Wind turbines failure is established；And during running of wind generating set, wind is acquired in real time
The operation data of motor group；
S02, when Wind turbines failure, to fault message carry out validity distinguish to judge whether failure effective；When failure has
When effect, into next step；
S03, operation data, fault message and failure Wind turbines seat in the plane information are sent in structural knowledge library, are matched
Obtain troubleshooting scheme.
2. the Wind turbines trouble hunting method according to claim 1 based on structural knowledge library, which is characterized in that In
In step S01, the Wind turbines include wind power plant Wind turbines centralized monitoring system or/and wind power plant Wind turbines state prison
The operation data of examining system.
3. the Wind turbines trouble hunting method according to claim 2 based on structural knowledge library, which is characterized in that institute
State wind power plant Wind turbines centralized monitoring system operation data include control system of wind turbines transmission data: telemetry station or/and
Remote signalling point；Wherein telemetry station is analog signals, and remote signalling point is digital quantity signal, and control system of wind turbines is for monitoring wind-powered electricity generation
Unit sender and control module.
4. the Wind turbines trouble hunting method according to claim 1 or 2 or 3 based on structural knowledge library, feature
It is, in step S02, the process of validity discrimination are as follows: within a preset time, remote reset is carried out to failure Wind turbines；
After preset time, failure vanishes then judge that failure is invalid, otherwise judge that failure is effective.
5. the Wind turbines trouble hunting method according to claim 4 based on structural knowledge library, which is characterized in that logical
It crosses and automatically resets instruction or hand-reset mode carries out remote reset.
6. the Wind turbines trouble hunting method according to claim 4 based on structural knowledge library, which is characterized in that institute
Stating preset time is 10~15 minutes.
7. the Wind turbines trouble hunting method according to claim 1 or 2 or 3 based on structural knowledge library, feature
Be, in step S03, the seat in the plane information of failure Wind turbines include the seat in the plane number of failure Wind turbines, hardware configuration information,
One of software version, historical failure information, trouble hunting record are a variety of.
8. the Wind turbines trouble hunting method according to claim 1 or 2 or 3 based on structural knowledge library, feature
It is, after step S03, after obtaining troubleshooting scheme, triggering maintenance work order.
9. the Wind turbines trouble hunting method according to claim 1 or 2 or 3 based on structural knowledge library, feature
It is, the project in the structural knowledge library includes fault category number, fault category title, question number, problem, reason
Number, reason, measure number, measure and effective measures number.
10. a kind of Wind turbines trouble hunting system based on structural knowledge library, which is characterized in that including
First module, for acquiring the operation data of Wind turbines in real time during running of wind generating set；
Second module, for carrying out validity discrimination to fault message in Wind turbines failure；And
Third module, for when failure is effective, operation data, fault message and failure Wind turbines seat in the plane information to be transmitted
In to preset structural knowledge library, matching obtains troubleshooting scheme.
11. the Wind turbines trouble hunting system according to claim 10 based on structural knowledge library, which is characterized in that
First module is data unit operation acquisition module, for acquiring wind power plant Wind turbines centralized monitoring system or/and wind
The operation data of electric field Wind turbines condition monitoring system.
12. the Wind turbines trouble hunting system according to claim 11 based on structural knowledge library, which is characterized in that
The wind power plant Wind turbines condition monitoring system and control system of wind turbines are connected by communication by MODBUS/TCP, for adopting
Collect the analog signals and digital quantity signal of control system.
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| CN113323820A (en) * | 2021-06-11 | 2021-08-31 | 国电南京自动化股份有限公司 | Backup emergency safety chain control method and system for wind power generator |
| CN116911578A (en) * | 2023-09-13 | 2023-10-20 | 华能信息技术有限公司 | Man-machine interaction method of wind power control system |
| CN116911578B (en) * | 2023-09-13 | 2024-02-27 | 华能信息技术有限公司 | Man-machine interaction method of wind power control system |
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