CN106610617B - A kind of accumulation of energy unit trouble analysis system and method - Google Patents
A kind of accumulation of energy unit trouble analysis system and method Download PDFInfo
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- CN106610617B CN106610617B CN201710033492.8A CN201710033492A CN106610617B CN 106610617 B CN106610617 B CN 106610617B CN 201710033492 A CN201710033492 A CN 201710033492A CN 106610617 B CN106610617 B CN 106610617B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
Abstract
The present invention relates to a kind of accumulation of energy unit trouble analysis system and method, the acquisition of monitoring system host computer and processing pump-storage generator real time data, and the list information of event of failure record and curve record is provided；Background processing module calls the list information of the monitoring system host computer, to data query and optimizes, and the characteristic information of acquisition is interacted with algoritic module；Algoritic module extracts corresponding characterization rules, and accumulation of energy Unit Commitment flow is carried out implementing analysis and be judged, alarms failure and abnormal conditions；Meanwhile calculating the relevant information after the secondary flow successful execution, and update the correction value of the rule of correspondence；Knowledge base management module provides management interface, realizes that the characterization rules of accumulation of energy Unit Commitment flow characteristics are write.The system can not only obtain real time process flow operation information, and reflect flow abnormal conditions, can also be achieved dual regulating functions.
Description
Technical field
The present invention relates to power system monitoring and analysis technical field more particularly to a kind of accumulation of energy units in knowledge based library
Start and stop flow fault analyzing platform.
Background technology
Currently, China's Construction of Pumped Storage Power Station enters the period of a high speed development.Pump-storage generator is in electric power
It carries peak regulation, frequency modulation, phase modulation, emergency duty in system and absorbs the multiple-tasks such as extra electric energy, be that current power grid is most important
Energy storage and peak-frequency regulation link.Pump-storage generator is Reversible Machinery Group, and the various complexity of operating mode, cooperation cooperative equipment is more,
Each equipment state performance directly reflects the runnability of unit.To ensure power grid and accumulation of energy unit safety operation, storage is given full play to
Can peak load regulation fm capacity, improve the controlled level of power quality and mains frequency, need to work to pump-storage generator
Characteristic is analysed in depth, and preferably fully to control the relevant information of unit, ensures that unit day-to-day operation is safeguarded and to draw water
Accumulation of energy unit repair based on condition of component provides support.
Pump-storage generator is easiest to break down in shutdown process, and the failure mode shown is varied, therefore
It is also sufficiently complex to hinder mechanism process.Current accumulation of energy unit fault diagnosis technology both domestic and external is mainly based on Fault tree
It is in the form of a single, function is simple with diagnostic method, do not adapt to current pump-storage generator various working conversion, flow it is complicated and
The multiple application present situation of failure.
By the study found that existing both at home and abroad to the research major defect in terms of accumulation of energy unit on-line monitoring and analyzing and diagnosing
In：
（1）It concentrates on the integrated diagnostic method with failure of exploitation of condition monitoring system, current achievement in research is also not
Field demand can be met.
（2）Power plant's existing system still shows with diagram curve mostly, based on signal or instruction alarm etc., due to alarming value
Setting lack it is scientific so that system can not accomplish accurate exception or breakdown judge, still need technology for fault diagnosis
Personnel or analysis expert obtain final result.
（3）Though some systems have fault diagnosis functions, practical level is not achieved.
（4）In terms of equipment state overhauling, directly unit maintenance is determined by the function of on-line monitoring system, current
Level also can not meet requirement, still to provide based on technical support.
Invention content
In view of this, it is necessary to be directed to current problem, it is to improve operation maintenance personnel to accident analysis and processing to provide a kind of
Efficiency, the Pumped Storage Plant host computer start and stop flow fault analyzing platform based on primary knowledge base.It is opened by monitoring unit
Stopping process and state analyze its realistic model, and matching are compared with knowledge base rule in realistic model, by comparison result
As the foundation of fault diagnosis, to realize that the long-range monitoring to pump-storage generator startup-shutdown process is analyzed.
An aspect of of the present present invention provides a kind of accumulation of energy unit failure analysis methods, including：
Monitoring accumulation of energy unit failure corresponds to each fault characteristic information；
Offer and the matched characterization rules of the fault characteristic information from knowledge base, and judge the fault characteristic information
Whether match with knowledge base characterization rules；
When matching, character pair rule correction value is automatically updated；When mismatch, abnormal prompt is sent out.
The another aspect of invention provides a kind of accumulation of energy unit trouble analysis system, including：
Monitoring system host computer for pump-storage generator real-time data acquisition and processing, and provides event of failure record
With the list information of curve record；
Background processing module, the list information for calling the monitoring system host computer to data query and carry out
Optimization, and the characteristic information of acquisition is interacted with algoritic module；
Algoritic module for extracting corresponding characterization rules, and to accumulation of energy Unit Commitment flow implement analysis and sentence
It is disconnected, it alarms failure and abnormal conditions；Meanwhile calculating the relevant information after the secondary flow successful execution,
And update the correction value of the rule of correspondence；
Knowledge base management module realizes that the characterization rules of accumulation of energy Unit Commitment flow characteristics are compiled for providing management interface
It writes；
And user interface.
Advantageous effect：
The present invention formulates dependency rule according to knowledge base, completes corresponding accident analysis algorithm, final to realize knowledge based library
Accumulation of energy Unit Commitment flow fault analyzing platform.The present invention has the advantage that：
（1）Directly monitor each step operating condition of each operating mode start and stop flow and relevant device action situation and the item that strides
Part meets situation.Each flow in each operating mode is walked into information and equipment situation redaction rule by knowledge base, is striden to flow
Real time monitor and modification rule.Each step equipment situation needed for condition that strides is summarized simultaneously, when flowing
When journey time out event can quick positioning failure, and record each equipment state of fault moment；
（2）According to the rule entries of knowledge base, matching unit feature, whether the equipment situation during automatic diagnostic process
It is abnormal.Equipment can be carried out to implement fault monitoring and carry out diagnostic alarms to the equipment of abnormal operation；
（3）By the way that adjusted value is manually set, increases analyzing and diagnosing nargin, the fast velocity modulation of each unit can be carried out according to field condition
Section.System generates and updates correction value according to the actual operation, carries out second-order correction to knowledge base rule so that closer to machine
Group practical operation situation.Using the whole modified method of Double regulating so that knowledge base rule is closer to the practical start and stop situation of unit, again
Intelligent management means can be increased.
（4）Technological achievement can coordinate the development of preventative maintenance and repair based on condition of component to a certain extent, and can be in other pumpings
Water storage station and conventional power plant are promoted.
Description of the drawings
The accumulation of energy Unit Commitment flow fault analyzing platform general frame figure in Fig. 1 knowledge baseds library；
Fig. 2 process analysis functional flow diagrams；
Fig. 3 analog quantity feature analyzing function flow charts；
Fig. 4 switching value feature analyzing function flow charts.
Specific implementation mode
Below in conjunction with the accompanying drawings, it elaborates to the analysis platform and its implementation of the present invention.
Fig. 1 is to be shown according to the general frame of the accumulation of energy Unit Commitment flow fault analyzing platform in the knowledge based library of the present invention
It is intended to, shows the framework between the structural principle of the system and various pieces and flow transitive relation.
As shown in Figure 1, a kind of accumulation of energy unit trouble analysis system of the present invention includes knowledge base management module 103, algorithm
Module 102, background processing module 101, user interface 104 and pump-storage generator monitoring system host computer 105.Water-storage machine
Group monitoring system host computer 105 include master computer, data base computer, engineer station, operator station and telemechanical apparatus and its
Set up network.Wherein the telemechanical apparatus includes completing the acquisition of various information between scheduling and power station and carrying out in real time automatic
Transmission and the automatic device exchanged.
The precondition of accident analysis is the knowledge that have the fault signature of a certain number of energy faults information to be formed
Library 106.There is exception in shutdown process in accumulation of energy unit, can cause the variation of some physical parameters, for example certain exceptions occur
Phenomena such as causing extraordinary noise, vibration aggravation, the physical parameters such as vibration, noise for monitoring at this time will change.It will
The device parameter of characterization operating states of the units is known as characteristic parameter, and the data entries of characteristic parameter are known as characteristic information.Feature is believed
Breath is typically derived from the status monitoring to running equipment（On-line monitoring and off-line monitoring）, by its monitoring object can be divided into electric current,
The electric parameter of voltage, power etc., the mechanical parameter in vibration, stroke, displacement, guide vane Jian degree, gap etc., water level, flow, pressure
Deng hydraulic parameters, the mechanics parameter of ess-strain etc., heat parameter of Wa Wen, oil temperature, winding temperature etc. etc..Meanwhile feature
Information also includes the information of different flow steps in different flows.
The rule of knowledge base 106 is enumerated below：
（1）Flow walks
| U | O | S | Time | Regulation | Maunal |
Each field meanings are：
U：Unit.Indicate the corresponding unit of the rule.
O：Work information.Indicate the corresponding operating mode of the rule.
S：Flow walks.Indicate the rule correspond to operating mode flow which step.
Time：Flow walks the time.Indicate that the rule corresponds to flow step and executed required Conventional Time.
Regulation：Correction value.By system automatically generated and correction value is updated, administrative staff is not needed and fills in.
Manual：Manually adjust value.For absolute value percentage, null value is defaulted as 0.
（2）Characteristic standard prefix
| U | O | S | T | A/D | Message |
Each field meanings are：
U：Unit.Indicate the corresponding unit of the rule.
O：Work information.Indicate the corresponding operating mode of the rule.
S：Flow walks.Indicate the rule correspond to operating mode flow which step.
T：Tripping mark.Indicate whether the rule shows unit tripping.
A/D：Analog/digital identifies.Indicate the rule it is corresponding be analog quantity or switching value characteristic information, for different situations
Analog quantity suffix or switching value suffix can be connected.
Message：Characteristic information.It is matched with the data base entries in monitoring system.
The above field is filled in by administrative staff, cannot be sky,.
（3）Analog quantity suffix
| Interval | Edge | Regulation | Maunal |
Interval：Interval value.Indicate monitoring time interval, non-empty.
Edge：Hop value.Indicate hopping amplitude, non-empty.
Regulation：Correction value.By system automatically generated and correction value is updated, administrative staff is not needed and fills in.
Manual：Manually adjust value.For absolute value percentage, null value is defaulted as 0.
（4）Switching value suffix
| P Edge | N Edge | P Count | N Count | Regulation | Maunal |
P Edge：Interval value is conjugated from 0 to 1.Indicate that monitoring time interval, null value explanation are not analyzed.
N Edge：Interval value is conjugated from 1 to 0.Indicate that monitoring time interval, null value explanation are not analyzed.
P Count：Number is conjugated from 0 to 1.Indicate that equipment is not analyzed from point position to position action frequency, null value explanation is closed.
N Count：Number is conjugated from 1 to 0.Indicate that equipment is not analyzed from point position to position action frequency, null value explanation is closed.
（Note：At least one field of above four fields is not null value）
Regulation：Correction value.By system automatically generated and correction value is updated, administrative staff is not needed and fills in.
Manual：Manually adjust value.For absolute value percentage, null value is defaulted as 0.
Knowledge base management module 103 realizes the characterization rules of accumulation of energy Unit Commitment flow characteristics by providing management interface
It writes.Meanwhile administrative staff being allowed to carry out parameter setting, the management operation such as backup and recovery to knowledge base.
Algoritic module 102 for extracting corresponding characterization rules, and to accumulation of energy Unit Commitment flow implement analysis with
Judge, alarms failure and abnormal conditions；Meanwhile the relevant information after the secondary flow successful execution being counted
It calculates, and updates the correction value of the rule of correspondence；
Background processing module 101 is called the list information of monitoring system host computer, is carried out to data query excellent
Change, and characteristic information and algoritic module are interacted.
User interface 104 is the man-machine interface that user accessed and operated the plateform system, provides user input query, parameter
If fixed sum data exports related interfaces.
Monitoring system host computer 105 for pump-storage generator real-time data acquisition and processing, and provides event of failure note
The list information of record and curve record.Monitoring system host computer has real-time control and adjusts pump-storage generator function, bears
Pump-storage generator real-time data acquisition and processing are blamed, comprehensive logout and curve record are capable of providing, is cause of accident
It searches and key equipment analysis of trend provides good tool.Meanwhile to the realtime monitoring of its supervision equipment, if
There is exception then to alarm in time, to inform operator on duty or maintenance personnel.Monitoring system host computer sends real time data to rear
Platform processing module, it is ensured that practicability, real-time and reliability of the invention.By each operating mode of unit involved in monitoring system slave computer
The variable that start and stop process step relevant device action situation and the condition of striding meet situation is sent to monitoring system host computer.Exist simultaneously
Analog quantity and switching value situation of change in special picture function displaying real time process flow operation are developed in monitoring system host computer, instead
Reflect flow abnormal conditions（No matter whether flow is overtime）And provide dependency rule, algorithm, system data and user data configuration dimension
Protect interface.
The analysis method in the knowledge based library of the present invention, this method include：
Monitoring accumulation of energy unit failure corresponds to each fault characteristic information；
Offer and the matched characterization rules of the fault characteristic information from knowledge base, and judge the fault characteristic information
Whether match with knowledge base characterization rules；
When matching, character pair rule correction value is automatically updated；When mismatch, abnormal prompt is sent out.
A kind of accumulation of energy unit trouble analysis system and method have process analysis, and analog quantity signature analysis switchs measure feature
Analysis, the functions such as intelligence adjusting.
Process analysis, as shown in Figure 2：
Each step of different procedure of operating mode is analyzed in process analysis, when being alarmed trip signal and locking tripping
Flow state and equipment state are carved, while the abnormal flow execution time is prompted.The function relevant information is as follows：
（1）Unit enters the first step of some start and stop procedure of operating mode.
（2）Trip signal is monitored whether.If so, then sending out alarm and locking the flow state and equipment shape at current time
State；If nothing, flow step is waited for be finished.
（3）Whether overtime monitor flow.If overtime, send out alarm and lock the flow state and equipment shape at current time
State；If having not timed out, records and show this flow step time used.
（4）The time used is walked according to this flow, flow is compared and walks preset time.It sends out and carries if being more than preset time
Show.Meanwhile the correction value of time is walked according to time used automatic calculation process, update preset time.
（5）Into flow second step, repeat（2）-（4）Content is walked, until all flow the end of the step, change working is completed.
Wherein, flow time is modified to：
A. flow step preset time T S sections are that Time field values add Regulation field values and are multiplied by 1 and subtract
The difference of Manual field values adding Regulation field values and be multiplied by 1 plus Manual Field Counts to Time field values
Value and between
B. wherein, correcting value calculating method is：
Regulation is equal to flow and walks difference and then divided by sampled value n that practical used time TA subtracts Time field values
C. sampled value n is administrative staff's setup parameter, generally takes 100
D. Manual is artificial adjusted value（Percentage）, it is defaulted as 0, if value is absolute value
Analog quantity signature analysis, as shown in Figure 3：
Analog quantity signature analysis analyzes the simulation measure feature in each step of different procedure of operating mode, to signal in spy
The abnormal saltus step situation fixed time in section is prompted.The function relevant information is as follows：
（1）Unit enters the first step of some start and stop procedure of operating mode.
（2）The numerical value of the corresponding simulation measure feature of monitoring, until the end of the step.
（3）Whether match regular in knowledge base（Interval and Edge fields match）.If matching, continue monitoring until
The end of the step；If mismatching, prompt is sent out.
（4）If there is a plurality of rule, matching treatment is carried out successively.
（5）After the flow the end of the step, if the unmatched situation of rule does not occur, situation update rule are walked according to this flow
Correction value then.
（6）Into flow second step, repeat（2）-（5）Content is walked, until all flow the end of the step, change working is completed.
Wherein, analog quantity characteristic modification is：
A. rule matching method
Time interval is that Interval field values add Regulation1 field values and is multiplied by 1 and subtracts Manual fields
The difference of numerical value, sum that is adding Regulation1 field values to Interval field values and being multiplied by 1 plus Manual field values
Between
&&
Saltus step section is that Edge field values add Regulation2 field values and is multiplied by 1 and subtracts Manual field values
Difference, it is adding Regulation2 field values to Edge field values and be multiplied by 1 plus Manual field values and between
It is matched in time interval and saltus step section simultaneously
B. correcting value calculating method is：
Regulation1 is equal to the practical used time IA of analog quantity changing features divided by simulation measure feature saltus step actual margin EA subtracts
The difference for removing Interval field values divided by Edge field values is multiplied by Edge field values, then divided by sampled value n
Regulation2 is equal to the simulation measure feature saltus step actual margin EA divided by practical used time IA of analog quantity changing features and subtracts
The difference for removing Edge field values divided by Interval field values is multiplied by Interval field values, then divided by sampled value n
C. sampled value n is administrative staff's setup parameter, generally takes 100
D. Manual is artificial adjusted value（Percentage）, it is defaulted as 0, if value is absolute value
Switching value signature analysis, as shown in Figure 4：
Switching value signature analysis analyzes the switch measure feature in each step of different procedure of operating mode, to signal in spy
Displacement frequency abnormality situation during the displacement situation in section of fixing time and flow step is prompted.The function correlation is believed
Breath is as follows：
（1）Unit enters the first step of some start and stop procedure of operating mode.
（2）The displacement time of the corresponding switch measure feature of monitoring and displacement information, until the end of the step.
（3）Whether match regular in knowledge base（P Edge, N Edge, P Count and N Count fields match）.If
Match, then continues monitoring until the end of the step；If mismatching, prompt is sent out.
（4）If there is a plurality of rule, matching treatment is carried out successively.
（5）After the flow the end of the step, if the unmatched situation of rule does not occur, situation update rule are walked according to this flow
Correction value then.
（6）Into flow second step, repeat（2）-（5）Content is walked, until all flow the end of the step, change working is completed.
Wherein, switching value characteristic modification is：
A. rule matching method
Time interval is conjugated from 0 to 1 to be that P Edge field values add Regulation1 field values and be multiplied by 1 and subtract
The difference of Manual field values adding Regulation1 field values and be multiplied by 1 plus Manual fields to P Edge field values
The sum of numerical value
Time interval is conjugated from 1 to 0 to be that N Edge field values add Regulation2 field values and be multiplied by 1 and subtract
The difference of Manual field values adding Regulation2 field values and be multiplied by 1 plus Manual fields to N Edge field values
The sum of numerical value
Time intervals are conjugated from 0 to 1 to be that P Count field values add Regulation3 field values and be multiplied by 1 and subtract
The difference of Manual field values adding Regulation3 field values and be multiplied by 1 plus Manual words to P Count field values
The sum of hop count value
Time intervals are conjugated from 1 to 0 to be that N Count field values add Regulation4 field values and be multiplied by 1 and subtract
The difference of Manual field values adding Regulation4 field values and be multiplied by 1 plus Manual words to N Count field values
The sum of hop count value
B. correcting value calculating method is：
Regulation1 is equal to the practical used time PT of switch measure feature displacement and subtracts the difference of P Edge field values, then divided by adopts
Sample value n
Regulation2 is equal to the practical used time NT of switch measure feature displacement and subtracts the difference of N Edge field values, then divided by adopts
Sample value n
Regulation3 is equal to the switch practical displacement number PC of measure feature and subtracts the difference of P Count field values, then divided by adopts
Sample value n
Regulation4 is equal to the switch practical displacement times N C of measure feature and subtracts the difference of N Count field values, then divided by adopts
Sample value n
C. sampled value n is administrative staff's setup parameter, generally takes 100
D. Manual is artificial adjusted value（Percentage）, it is defaulted as 0, if value is absolute value
Intelligence is adjusted：
The intelligent regular correction value of completion that adjusts calculates automatically in real time, poor to different units, different flows, Different Rule progress
Alienation management makes rule more match the actual conditions of Unit Commitment flow.The function relevant information is as follows：
（1）Unit enters the first step of some start and stop procedure of operating mode.
（2）After the flow walks normal execution, actual execution time is walked according to flow, in real time calculating and more new knowledge base
The correction value of rule.
（3）After the normal execution of flow step, according to the actual monitoring situation of simulation measure feature, calculates and update in real time
The correction value of knowledge base rule.
（4）After the normal execution of flow step, according to the actual monitoring situation of switch measure feature, calculates and update in real time
The correction value of knowledge base rule.
（5）Into flow second step, repeat（2）-（5）Content is walked, until all flow the end of the step, change working is completed.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (9)
1. a kind of accumulation of energy unit failure analysis methods, which is characterized in that including：
Each equipment fault characteristic information is corresponded to when monitoring accumulation of energy Unit Commitment procedure of operating mode failure；
Offer and the matched characterization rules of the fault characteristic information from knowledge base, and whether judge the fault characteristic information
Match with knowledge base characterization rules；The knowledge base characterization rules include that flow walks, characteristic standard prefix, analog quantity suffix,
Switching value suffix；
When matching, character pair rule correction value is automatically updated according to procedure of operating mode situation；When mismatch, abnormal prompt is sent out.
2. according to the accumulation of energy unit failure analysis methods described in claim 1, which is characterized in that the characteristic information is characterization
The information of different flow steps in the data entries of the device parameter of operating states of the units and different flows.
3. according to the accumulation of energy unit failure analysis methods described in claim 1, which is characterized in that the correction value is system root
According to corresponding equipment certain a period of time in past some procedure of operating mode action situation, the situation of change of i.e. a certain equipment feature oneself
The dynamic adjust automatically correction value calculated.
4. accumulation of energy unit failure analysis methods according to claim 1, which is characterized in that the flow, which walks, includes：
Unit, for indicating the corresponding unit of the rule；
Work information, for indicating the corresponding operating mode of the rule；
Flow walks, for indicating the rule corresponds to which step of the flow of operating mode；
Flow walks the time, and required Conventional Time has been executed for indicating that the rule corresponds to flow step；
Correction value and manually adjust value.
5. accumulation of energy unit failure analysis methods according to claim 1, which is characterized in that the characteristic standard prefix packet
It includes：
Unit, work information, flow step, characteristic information；
Tripping mark, for indicating whether the rule shows unit tripping；
Analog/digital identify, for indicate the rule it is corresponding be analog quantity or switching value characteristic information, can connect for different situations
Connect analog quantity suffix or switching value suffix.
6. accumulation of energy unit failure analysis methods according to claim 1, which is characterized in that the analog quantity suffix packet
It includes：
Interval value, for indicating monitoring time interval, non-empty；
Hop value, for indicating hopping amplitude, non-empty；
Correction value and manually adjust value.
7. accumulation of energy unit failure analysis methods according to claim 1, which is characterized in that the switching value suffix packet
It includes：
P Edge rising edge constant intervals：For indicating that monitoring conjugates time interval value from 0 to 1；
N Edge failing edge constant intervals：For indicating that monitoring conjugates time interval value from 1 to 0；
P Count rising edge change frequencies：For indicating that monitoring conjugates time intervals value from 0 to 1；
N Count failing edge change frequencies：For indicating that monitoring conjugates time intervals value from 1 to 0；
Wherein, at least one field of above four fields is not null value；
Correction value and manually adjust value.
8. a kind of accumulation of energy unit trouble analysis system, which is characterized in that including：
Monitoring system host computer for pump-storage generator real-time data acquisition and processing, and provides event of failure record and song
The list information of line record；
Background processing module, the list information for calling the monitoring system host computer, to data query and optimizes,
And the characteristic information of acquisition is interacted with algoritic module；
Algoritic module carries out implementing analysis and judge for extracting corresponding characterization rules, and to accumulation of energy Unit Commitment flow, right
Failure and abnormal conditions are alarmed；Meanwhile the related procedure information after executing the secondary flow calculates, and update
The correction value of corresponding start and stop flow characteristics rule；The correction value is system according to corresponding equipment in past some procedure of operating mode
The adjust automatically correction value that the action situation of certain a period of time, the situation of change of i.e. a certain equipment feature calculate automatically；
Knowledge base management module realizes that the characterization rules of accumulation of energy Unit Commitment flow characteristics are write for providing management interface；Institute
It includes flow step, characteristic standard prefix, analog quantity suffix, switching value suffix to state knowledge base characterization rules；
And user interface.
9. wanting the accumulation of energy unit trouble analysis system described in 8 according to right, which is characterized in that the monitoring system host computer includes
Server, data base computer, engineer work station, operator workstation and telemechanical apparatus.
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| CN102620948B (en) * | 2012-04-03 | 2014-06-04 | 广州蓄能水电厂 | Intelligent pump storage machine set fault analysis method and system thereof |
| WO2014001864A1 (en) * | 2012-06-29 | 2014-01-03 | Abb Technology Ltd. | A method for optimization of control and fault analysis in a thermal power plant |
| CN103646104A (en) * | 2013-12-23 | 2014-03-19 | 北京华力创通科技股份有限公司 | Hard real-time fault diagnosis method and system |
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