CN106610617A - Pumped storage unit fault analysis system and pumped storage unit fault analysis method - Google Patents
Pumped storage unit fault analysis system and pumped storage unit fault analysis method Download PDFInfo
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- CN106610617A CN106610617A CN201710033492.8A CN201710033492A CN106610617A CN 106610617 A CN106610617 A CN 106610617A CN 201710033492 A CN201710033492 A CN 201710033492A CN 106610617 A CN106610617 A CN 106610617A
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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
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- Automation & Control Theory (AREA)
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Abstract
The invention relates to a pumped storage unit fault analysis system and a pumped storage unit fault analysis method. A monitoring system principal computer acquires and processes real-time data of a pumped storage unit, and provides a list of information of a fault event record and a curve record. A background processing module calls a list of information of the monitoring system principal computer, queries and optimizes data, and interacts with an algorithm module on acquired characteristic information. The algorithm module extracts corresponding characteristic rules, analyzes and judges the start-stop process of the pumped storage unit, and raises the alarm if there is a fault or abnormality. Meanwhile, the algorithm module calculates related information at the end of the process, and updates the revised values of the corresponding rules. A knowledge base management module provides a management interface, and writes the characteristic rules of the start-stop process of the pumped storage unit. Through the system, real-time process running information can be obtained, process abnormality can be reflected, and a double adjustment function is achieved.
Description
Technical field
The present invention relates to power system monitoring and analysis technical field, more particularly to a kind of accumulation of energy unit in knowledge based storehouse
Start and stop flow fault analyzing platform.
Background technology
At present, China's Construction of Pumped Storage Power Station enters the period of a high speed development.Pump-storage generator is in electric power
Peak regulation, frequency modulation, phase modulation, emergency duty are carry in system and the multiple-tasks such as unnecessary electric energy are absorbed, is that current electrical network is most important
Energy storage and peak-frequency regulation link.Pump-storage generator is Reversible Machinery Group, the various complexity of operating mode, coordinates cooperative equipment more,
Each equipment state performance directly reflects the runnability of unit.To ensure electrical network and accumulation of energy unit safety operation, storage is given full play to
Energy peak load regulation fm capacity, improves the control level of the quality of power supply and mains frequency, needs to pump-storage generator work
Characteristic is analysed in depth, and with the relevant information for preferably fully controlling 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 for showing is varied, therefore
Barrier mechanism process is also sufficiently complex.At present accumulation of energy unit fault diagnosis technology both domestic and external predominantly based on Fault tree
With diagnostic method, form is single, function is simple, it is impossible to adapt to the conversion of current pump-storage generator various working, flow process it is complicated and
The multiple application present situation of failure.
By study find, both at home and abroad to accumulation of energy unit monitor on-line and analyzing and diagnosing in terms of research major defect exist
In：
（1）Concentrate on the integrated diagnostic method with failure of exploitation of condition monitoring system, current achievement in research can't expire
Sufficient field demand.
（2）Power plant's existing system is still shown with diagram curve mostly, signal or indicate report to the police etc. based on, due to alarming value
Setting lack scientific so that system cannot accomplish accurate exception or breakdown judge, for fault diagnosis needs for technology
Personnel or analysis expert are drawing final result.
（3）Though some systems have fault diagnosis functions, the level of practicality is not reached.
（4）It is in terms of equipment state overhauling, directly by the function of on-line monitoring system determining unit maintenance, current
Level also can not meet requirement, still based on offer technical support.
The content of the invention
In view of this, it is necessary to for current problem, there is provided a kind of is to improve operation maintenance personnel to accident analysis and process
Efficiency, the Pumped Storage Plant host computer start and stop flow fault analyzing platform based on primary knowledge base.Opened by monitoring unit
Stopping process and state, analyze its realistic model, and realistic model is compared with knowledge base rule match, by comparison result
As the foundation of fault diagnosis, so as to realize the long-range monitoring analysis to pump-storage generator startup-shutdown process.
An aspect of of the present present invention provides a kind of accumulation of energy unit failure analysis methods, including：
The each fault characteristic information of monitoring accumulation of energy unit failure correspondence；
The characterization rules matched with the fault characteristic information are provided from knowledge base, and whether judge the fault characteristic information
Match with knowledge base characterization rules；
During matching, character pair rule correction value is automatically updated；During mismatch, abnormal prompt is sent.
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 process, and provides event of failure record and song
The catalog information of line record；
Background processing module, for calling the catalog information of the monitoring system host computer, to data query and is optimized,
And the characteristic information of collection and algoritic module are interacted；
Algoritic module, for extracting corresponding characterization rules, and carries out implementing analysis and judging to accumulation of energy Unit Commitment flow process, right
Failure and abnormal conditions are reported to the police；Meanwhile, the relevant information after this flow process successful execution is terminated is calculated, and is updated
The correction value of the rule of correspondence；
KBM module, for providing management interface, realizes that the characterization rules of accumulation of energy Unit Commitment flow characteristics are write；
And user interface.
Beneficial effect：
The present invention formulates dependency rule according to knowledge base, completes correspondence accident analysis algorithm, finally realizes the storage in knowledge based storehouse
Can Unit Commitment flow fault analyzing platform.The present invention has the advantage that：
（1）The each step ruuning situation of each operating mode start and stop flow process is directly monitored, and relevant device action situation and the condition that strides are completely
Sufficient situation.Each flow process in each operating mode is walked by information and equipment situation redaction rule by knowledge base, stride reality to flow process
Time carries out monitoring and modification rule.Simultaneously each step condition equipment needed thereby situation that strides being collected, being surpassed when there is flow process
When event when can quick positioning failure, and record each equipment state of fault moment；
（2）According to the rule entries of knowledge base, matching unit feature, during automatic diagnostic process, whether the equipment situation is different
Often.Equipment can be carried out and implement fault monitoring, diagnostic alarms can be carried out to the equipment of abnormal operation again；
（3）By being manually set adjusted value, increase analyzing and diagnosing nargin, each unit quick regulation can be carried out according to field condition.
System generates and updates correction value according to practical operation situation, carries out second-order correction to knowledge base rule so that closer to unit
Practical operation situation.Positive method is rebuild using Double regulating so that the knowledge base rule actual start and stop situation of closer unit, and energy
Increase intelligent management means.
（4）Technological achievement can coordinate the development of preventative maintenance and repair based on condition of component to a certain extent, and can take out at other
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 storehouse；
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 embodiment
Below in conjunction with the accompanying drawings, the analysis platform and its implementation of the present invention are elaborated.
Fig. 1 is that the general frame of the accumulation of energy Unit Commitment flow fault analyzing platform in the knowledge based storehouse according to the present invention is shown
It is intended to, shows the framework and flow process transitive relation between the structural principle of the system and various pieces.
As shown in figure 1, a kind of accumulation of energy unit trouble analysis system of the present invention includes KBM 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 described telemechanical apparatus includes completing dispatching and power station between the collection of various information and carries out in real time automatically
Transmission and the automaton for exchanging.
The precondition of accident analysis is the knowledge that will have the fault signature of a number of energy faults information to be formed
Storehouse 106.Accumulation of energy unit occurs exception in shutdown process, can cause the change of some physical parameters, some exceptions such as occurs
The physical parameters such as the phenomenons such as extraordinary noise, vibration aggravation, the vibration for now monitoring, noise can be caused to change.Will
The device parameter for characterizing operating states of the units is referred to as characteristic parameter, and the data entries of characteristic parameter are referred to 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 mechanical parameter in the electric parameter of voltage, power etc., vibration, stroke, displacement, stator Jian degree, gap etc., water level, flow, pressure
Deng hydraulic parameters, the mechanics parameter of ess-strain etc., the heat parameter of Wa Wen, oil temperature, winding temperature etc. etc..Meanwhile, feature
Information also includes the information of different flow process steps in different flow processs.
Below the rule of knowledge base 106 is enumerated：
（1）Flow process is walked
| 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 process is walked.Flow process which step of rule correspondence operating mode indicated.
Time：Flow process walks the time.Indicate that the rule correspondence flow process step has performed required Conventional Time.
Regulation：Correction value.Automatically generated by system and update correction value, it is not necessary to which management personnel fill in.
Manual：Manually adjust value.For absolute value percentage ratio, 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 process is walked.Flow process which step of rule correspondence operating mode indicated.
T：Tripping operation mark.The rule is indicated whether this is indicate that unit tripping.
A/D：Analog is identified.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.Match with the data base entries in monitoring system.
Above field is filled in by management personnel, it is impossible to for sky,.
（3）Analog quantity suffix
| Interval | Edge | Regulation | Maunal |
Interval：Interval value.Indicate monitoring time interval, non-NULL.
Edge：Hop value.Indicate hopping amplitude, non-NULL.
Regulation：Correction value.Automatically generated by system and update correction value, it is not necessary to which management personnel fill in.
Manual：Manually adjust value.For absolute value percentage ratio, null value is defaulted as 0.
（4）Switching value suffix
| P Edge | N Edge | P Count | N Count | Regulation | Maunal |
P Edge：From 0 to 1 displacement interval value.Monitoring time interval is indicated, null value explanation is not analyzed.
N Edge：From 1 to 0 displacement interval value.Monitoring time interval is indicated, null value explanation is not analyzed.
P Count：From 0 to 1 displacement number of times.Indicate that equipment is not analyzed from point position to position action frequency, null value explanation is closed.
N Count：From 1 to 0 displacement number of times.Indicate that equipment is not analyzed from point position to position action frequency, null value explanation is closed.
（Note：The field of the above four at least one field is not null value）
Regulation：Correction value.Automatically generated by system and update correction value, it is not necessary to which management personnel fill in.
Manual：Manually adjust value.For absolute value percentage ratio, null value is defaulted as 0.
KBM module 103 realizes the characterization rules of accumulation of energy Unit Commitment flow characteristics by providing management interface
Write.Simultaneously, it is allowed to which management personnel carry out parameter setting, the management operation such as backup and recovery to knowledge base.
Algoritic module 102 is used to extract corresponding characterization rules, and accumulation of energy Unit Commitment flow process is carried out implementing analysis with
Judge, failure and abnormal conditions are reported to the police；Meanwhile, the relevant information after this flow process successful execution is terminated is counted
Calculate, and update the correction value of the rule of correspondence；
Background processing module 101 is called to the catalog information of monitoring system host computer, and data query is optimized, and
Characteristic information is interacted with algoritic module.
User interface 104 is the man-machine interface that user accessed and operated the plateform system, there is provided 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 process, and provides event of failure note
Record and the catalog information of curve record.Monitoring system host computer possesses real-time control and adjusts pump-storage generator function, bears
Duty pump-storage generator real-time data acquisition and process, using the teaching of the invention it is possible to provide comprehensive logout and curve record, are cause of accident
Search and key equipment analysis of trend provides good instrument.Meanwhile, the realtime monitoring to its supervision equipment, if
There is exception then to be reported to the police in time, to inform operator on duty or attendant.Monitoring system host computer sends real time data to rear
Platform processing module, it is ensured that the practicality of the present invention, real-time and reliability.The each operating mode of unit will be related in monitoring system slave computer
Start and stop process step relevant device action situation and the condition of striding meet the variable of situation and deliver to monitoring system host computer.Exist simultaneously
Special picture function is developed in monitoring system host computer and shows analog quantity and switching value situation of change in real time process flow operation, instead
Reflect flow process abnormal conditions（No matter whether flow process is overtime）And dependency rule, algorithm, system data and user data configuration dimension is provided
Shield interface.
The analysis method in the knowledge based storehouse of the present invention, the method include：
The each fault characteristic information of monitoring accumulation of energy unit failure correspondence；
The characterization rules matched with the fault characteristic information are provided from knowledge base, and whether judge the fault characteristic information
Match with knowledge base characterization rules；
During matching, character pair rule correction value is automatically updated；During mismatch, abnormal prompt is sent.
A kind of accumulation of energy unit trouble analysis system and method possess process analysis, and analog quantity feature analysiss switch measure feature
The functions such as analysis, Intelligent adjustment.
Process analysis, as shown in Figure 2：
Process analysis is analyzed to each step of different procedure of operating mode, and tripping operation moment stream is reported to the police and locked to trip signal
Journey state and equipment state, while the time is performed to abnormal flow process pointing out.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 having, the flow state and equipment shape for reporting to the police and locking current time is sent
State；If nothing, flow process step is waited to be finished.
（3）Whether monitoring flow process is overtime.If overtime, the flow state and equipment shape for reporting to the police and locking current time is sent
State；If having not timed out, this time used by flow process step is recorded and shows.
（4）According to this time used by flow process step, flow process step Preset Time is compared.Send if more than Preset Time and carry
Show.Meanwhile, the correction value of time is walked according to time used automatic calculation process, Preset Time is updated.
（5）Into flow process second step, repeat（2）-（4）Step content, until all flow process EOSs, change working is completed.
Wherein, flow time is modified to：
A. flow process step preset time T S is interval adding Regulation field values for Time field values and is multiplied by 1 and subtracts Manual
The difference of field values, sum that is adding Regulation field values to Time field values and being multiplied by 1 plus Manual field values
Between
B. wherein, correcting value calculating method is：
Regulation is equal to the actual used time TA of flow process step and subtracts the difference of Time field values and then divided by sampled value n
C. sampled value n is management personnel's setup parameter, typically takes 100
D. Manual is artificial adjusted value（Percentage ratio）, 0 is defaulted as, if value is absolute value
Analog quantity feature analysiss, as shown in Figure 3：
Analog quantity feature analysiss are analyzed to the simulation measure feature in each step of different procedure of operating mode, to signal when specific
Between interval in abnormal saltus step situation pointed out.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 monitoring correspondence simulation measure feature, until the EOS.
（3）Whether knowledge base in rule is matched（Interval and Edge fields match）.If matching, continue monitoring until
The EOS；If mismatching, prompting is sent.
（4）If there are many rules, matching treatment is carried out successively.
（5）After the flow process EOS, if there is no regular unmatched situation, rule are updated according to this flow process step situation
Correction value then.
（6）Into flow process second step, repeat（2）-（5）Step content, until all flow process EOSs, 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 field values
Difference, it is adding Regulation1 field values to Interval field values and be multiplied by 1 plus Manual field values and between
&&
Saltus step is interval adding Regulation2 field values for Edge field values and is multiplied by 1 difference for subtracting Manual field values,
It is adding Regulation2 field values to Edge field values and be multiplied by 1 plus Manual field values and between
Matched in time interval and saltus step interval simultaneously
B. correcting value calculating method is：
Regulation1 is deducted divided by simulation measure feature saltus step actual margin EA equal to the actual used time IA of analog quantity changing features
Difference of the Interval field values divided by Edge field values, is multiplied by Edge field values, then divided by sampled value n
Regulation2 is equal to simulation measure feature saltus step actual margin EA and deducts divided by the actual used time IA of analog quantity changing features
Difference of the 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 management personnel's setup parameter, typically takes 100
D. Manual is artificial adjusted value（Percentage ratio）, 0 is defaulted as, if value is absolute value
Switching value feature analysiss, as shown in Figure 4：
Switching value feature analysiss are analyzed to the switch measure feature in each step of different procedure of operating mode, to signal when specific
Between interval in displacement situation and flow process step during displacement frequency abnormality situation pointed out.The function relevant information is such as
Under：
（1）Unit enters the first step of some start and stop procedure of operating mode.
（2）The displacement time of monitoring correspondence switch measure feature and displacement information, until the EOS.
（3）Whether knowledge base in rule is matched（P Edge, N Edge, P Count and N Count fields match）.If
Match somebody with somebody, then continue monitoring until the EOS；If mismatching, prompting is sent.
（4）If there are many rules, matching treatment is carried out successively.
（5）After the flow process EOS, if there is no regular unmatched situation, rule are updated according to this flow process step situation
Correction value then.
（6）Into flow process second step, repeat（2）-（5）Step content, until all flow process EOSs, change working is completed.
Wherein, switching value characteristic modification is：
A. rule matching method
It is that P Edge field values add Regulation1 field values from 0 to 1 displacement time interval and is multiplied by 1 and subtracts Manual
The difference of field values is adding Regulation1 field values to P Edge field values and be multiplied by 1 plus Manual field values
With
It is that N Edge field values add Regulation2 field values from 1 to 0 displacement time interval and is multiplied by 1 and subtracts Manual
The difference of field values is adding Regulation2 field values to N Edge field values and be multiplied by 1 plus Manual field values
With
It is that P Count field values add Regulation3 field values from 0 to 1 displacement time intervals and is multiplied by 1 and subtracts Manual
The difference of field values is adding Regulation3 field values to P Count field values and be multiplied by 1 plus Manual field values
Sum
It is that N Count field values add Regulation4 field values from 1 to 0 displacement time intervals and is multiplied by 1 and subtracts Manual
The difference of field values is adding Regulation4 field values to N Count field values and be multiplied by 1 plus Manual field values
Sum
B. correcting value calculating method is：
Regulation1 is equal to switch measure feature and conjugates the difference that actual used time PT subtracts P Edge field values, then divided by sampled value n
Regulation2 is equal to switch measure feature and conjugates the difference that actual used time NT subtracts N Edge field values, then divided by sampled value n
Regulation3 is equal to the difference that the actual displacement number of times PC of switch measure feature subtracts P Count field values, then divided by sampled value
n
Regulation4 is equal to the difference that actual displacement times N C of switch measure feature subtracts N Count field values, then divided by sampled value
n
C. sampled value n is management personnel's setup parameter, typically takes 100
D. Manual is artificial adjusted value（Percentage ratio）, 0 is defaulted as, if value is absolute value
Intelligent adjustment：
Intelligent adjustment completes regular correction value and calculates automatically in real time, carries out differentiation to different units, different flow processs, Different Rule
Management, makes rule more match the practical situation of Unit Commitment flow process.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 normal execution of flow process step terminates, actual execution time is walked according to flow process, is calculated in real time and more new knowledge base
The correction value of rule.
（3）After the normal execution of flow process step terminates, according to the actual monitoring situation of simulation measure feature, calculate in real time and update
The correction value of knowledge base rule.
（4）After the normal execution of flow process step terminates, according to the actual monitoring situation of switch measure feature, calculate in real time and update
The correction value of knowledge base rule.
（5）Into flow process second step, repeat（2）-（5）Step content, until all flow process EOSs, change working is completed.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more concrete and detailed, but and
Therefore the restriction to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, some deformations and improvement can also be made, these belong to the guarantor of the present invention
Shield scope.Therefore, the protection domain of patent of the present invention should be defined by claims.
Claims (9)
1. a kind of accumulation of energy unit failure analysis methods, it is characterised in that include：
The each fault characteristic information of monitoring accumulation of energy unit failure correspondence；
The characterization rules matched with the fault characteristic information are provided from knowledge base, and whether judge the fault characteristic information
Match with knowledge base characterization rules；
During matching, character pair rule correction value is automatically updated；During mismatch, abnormal prompt is sent.
2. accumulation of energy unit failure analysis methods according to claim 1, it is characterised in that the characteristic information is to characterize
The information of different flow process steps in the data entries of the device parameter of operating states of the units and different flow processs.
3. accumulation of energy unit failure analysis methods according to claim 1, it is characterised in that the correction value is system root
According to the adjust automatically that corresponding device is calculated automatically in the action situation of the past period, the situation of change of i.e. a certain equipment feature
Correction value.
4. accumulation of energy unit failure analysis methods according to claim 1, it is characterised in that the knowledge base characterization rules
Walk including flow process, characteristic standard prefix, analog quantity suffix, switching value suffix.
5. accumulation of energy unit failure analysis methods according to claim 4, it is characterised in that described flow process step includes：
Unit, for indicating the corresponding unit of the rule；
Work information, for indicating the corresponding operating mode of the rule；
Flow process is walked, for which step of the flow process of the rule correspondence operating mode indicated；
Flow process walks the time, for indicating that the rule correspondence flow process step has performed required Conventional Time；
Correction value and manually adjust value.
6. accumulation of energy unit failure analysis methods according to claim 4, it is characterised in that described characteristic standard prefix bag
Include：
Unit, work information, flow process step, characteristic information；
Tripping operation mark, for indicating the rule whether this is indicate that unit tripping；
Analog is identified, for indicate the rule it is corresponding be analog quantity or switching value characteristic information, can be even for different situations
Connect analog quantity suffix or switching value suffix.
7. accumulation of energy unit failure analysis methods according to claim 4, it is characterised in that described analog quantity suffix bag
Include：
Interval value, for indicating monitoring time interval, non-NULL；
Hop value, for indicating hopping amplitude, non-NULL；
Correction value and manually adjust value.
8. a kind of accumulation of energy unit trouble analysis system, it is characterised in that include：
Monitoring system host computer, for pump-storage generator real-time data acquisition and process, and provides event of failure record and song
The catalog information of line record；
Background processing module, for calling the catalog information of the monitoring system host computer, to data query and is optimized,
And the characteristic information of collection and algoritic module are interacted；
Algoritic module, for extracting corresponding characterization rules, and carries out implementing analysis and judging to accumulation of energy Unit Commitment flow process, right
Failure and abnormal conditions are reported to the police；Meanwhile, the relevant information after this flow process successful execution is terminated is calculated, and is updated
The correction value of the rule of correspondence；
KBM module, for providing management interface, realizes that the characterization rules of accumulation of energy Unit Commitment flow characteristics are write；
And user interface.
9. the accumulation of energy unit trouble analysis system stated according to claim 8, it is characterised in that the monitoring system host computer includes
Server, data base computer, engineer work station, operator workstation and telemechanical apparatus.
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