CN103034209A - Discrimination method for on-line measured data accuracy - Google Patents
Discrimination method for on-line measured data accuracy Download PDFInfo
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- CN103034209A CN103034209A CN2012105481742A CN201210548174A CN103034209A CN 103034209 A CN103034209 A CN 103034209A CN 2012105481742 A CN2012105481742 A CN 2012105481742A CN 201210548174 A CN201210548174 A CN 201210548174A CN 103034209 A CN103034209 A CN 103034209A
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Abstract
A discrimination method for on-line measured data accuracy comprises on-line measured data collection, data testing and reconfiguration, data warning and data warning message Web release. With the method, an abnormal tested point can be found automatically, and a warning prompt message is generated. Meanwhile, a thorough alarming mechanism exists, so that statistical analysis and management for tested point information are achieved. A data pre-processing method is based on a classical method for dynamic testing data processing, and experience in a heating power productive process is introduced to discriminate the accuracy of the data, so that the discrimination process is scientific, and the discrimination result is reliable. Statistical information of data accuracy discrimination can motivate self tested point maintenance of an electric power plant, and the electric power plant is also assisted in relative examination of thermotechnical measurement. Configuration and debugging of the method are completed at a time, the maintenance workload is small, and a big problem of large method data maintenance is resolved.
Description
Technical field
The present invention relates to a kind of data processing method, be specially the accuracy discriminating method of the online thermal measurement data of a kind of thermal power plant.
Background technology
Along with the arrival of large data age, all trades and professions all are faced with the processing of mass data and information, and the accuracy of data is screened and just seemed particularly important.
For the fuel-burning power plant, the work under bad environment of thermal measurement instrument, noise, high temperature, pressure wave, electromagnetic wave, mechanical vibration etc. are disturbed frequent, and reliable measuring data and stability descend thereupon, and catastrophic failure easily occurs in measuring point.This kind situation has very large threat for the automatic control of thermal power plant, and the control parameter can get muddled; Simultaneously, the data of the collections such as other information systems such as SIS, MIS and EAM also can be affected, and the upper layer data statistics and analysis all can be subject to data contamination.
In recent years, more and more pay attention to research and the application of measurement data alignment technique in the Fossil-fired Unit Performance monitoring system, mainly comprise rejecting and the reconstruct of appreciable error, the filtering method of stochastic error etc., but just be confined to the research of algorithm model, rare stand-alone data processing system.
Summary of the invention
Technical matters solved by the invention is to provide a kind of on-line measurement data accuracy discriminating method, to solve the problem in the above-mentioned background technology.
Technical matters solved by the invention realizes by the following technical solutions:
A kind of on-line measurement data accuracy discriminating method may further comprise the steps:
Step (1): the interface routine by data acquisition generates the raw data formation from the online measurement data of fuel-burning power plant control system collection;
Step (2): data checking method is made dynamic link library, and the background program of being convenient to the data accuracy examination calls; Background program carries out data reconstruction after reading the relevant configuration information of relevant database the inside, the data queue after the output reconstruction processing, and store checking information into relational database for foreground program;
Step (3): definition and configuration alarm business, realize the information management that the measuring point data accuracy is screened; The foreground program that data accuracy is screened provides configuration interface, after configuration is finished configuration information is saved in the relevant database; Foreground program also is responsible for reading checking information from concern the storehouse, carries out Web after the analyzing and processing and shows.
The firepower power plant control system is the DCS control system in the step (1).
Data checking method in the step (2) comprises: standard deviation check, catastrophe point check, redundant check, thick range check, correlation test.Described redundant check comprises: standard deviation check, Dixon's test, the long-pending check of deviation.Described correlation test is comprehensively judged strong relevant parameter for and experience theoretical according to thermal procession, if both differences far exceed the experience scope, is then provided alarm.
Data reconstruction mode in the step (2) comprises: the reconstruct of data checking method, dynamically normal value reconstruct, fixed value reconstruct, fixed value and dynamically automatically the cutting of normal value, original value reconstruct; Wherein, the priority of the reconstruct of data checking method is the highest.
Alarm business is defined as follows in the step (3):
1) alarm level: define redness, yellow and green three kinds of alarms according to the parameters sensitivity analysis result;
2) alarm dead band: the effective minimum duration requirement of data mode; Data mode comprises " check is unusual " and " check is normal ";
3) moment alarm: the data mode duration of " check is unusual " is less than the alarm of alarm dead band;
4) common alarm: the data mode duration of " check is unusual " is not less than the alarm of alarm dead band;
5) statistical indicator: from the managerial index that the angle of market demand proposes, the reflection measuring point is measured reliability, further data is used to exert an influence.
The Web displaying comprises " warning information inquiry " and " inquiry of alarm details " page in the step (3).
Beneficial effect: the present invention can find on one's own initiative that measuring point is unusual, generates alarm prompt, has simultaneously the perfect alarm mechanism of a cover to realize statistical study and the management of measuring point warning message.The classical way that data preprocessing method is processed based on the dynamic test data is introduced simultaneously heating power production run empirical log and is made a decision according to accuracy, the deterministic process science, and judged result is reliable; The statistical information that data accuracy is screened can be transferred the enthusiasm that power plant safeguards for self measuring point, also is simultaneously the coherence check that helps power plant to carry out thermal measurement.Disposable the finishing of configuration debugging of method, maintenance workload is little, has solved a great problem of large method data maintenance.
Description of drawings
Fig. 1 is general flow chart of the present invention.
Fig. 2 is detail flowchart of the present invention.
Embodiment
In order to make technological means of the present invention, creation characteristic, workflow, using method reach purpose and effect is easy to understand, below further set forth the present invention.
As shown in Figure 1, 2, a kind of on-line measurement data accuracy discriminating method may further comprise the steps:
Step (1): the interface routine by data acquisition gathers online measurement data from fuel-burning power plant control system (such as DCS), generates the raw data formation;
Step (2): data checking method is made dynamic link library, and the background program of being convenient to the data accuracy examination calls; Background program carries out data reconstruction after reading the relevant configuration information of relevant database the inside, the data queue after the output reconstruction processing, and store checking information into relational database for foreground program.
Data checking method comprises following five kinds:
1) standard deviation check: for detection of the stretching line of data or the unexpected loosening fault of measuring point;
2) catastrophe point check: for detection of in the kinetic measurement raw data, sneaking into some false datas;
3) redundant check: for detection of having redundant measuring point data, this method combines the long-pending check of standard deviation check, Dixon's test and deviation innovatively, thereby realizes the reliable judgement of redundant measuring point;
4) thick range check: i.e. thresholding check, simple and practical, be only applicable to the minority measuring point;
5) correlation test: according to thermal procession theory and experience strong relevant parameter is comprehensively judged, if both differences far exceed the experience scope, then provided alarm.
The data reconstruction mode comprises following five kinds:
1) reconstruct of data checking method: some method of inspection is that reconstruction value can be provided such as catastrophe point check and the most of situation of redundant check, therefore adopts this reconstruct mode, and the priority of this kind reconstruct mode is the highest;
2) dynamically normal value reconstruct: namely the and value that preserve normal with recently check is suitable for stably measuring point of data variation as reconstruction value;
3) fixed value reconstruct: namely come the reconstruct abnormal data with fixing data, be suitable for stably measuring point of data variation;
4) fixed value and the dynamically automatic switchover of normal value: then be reconstructed with dynamic normal value when namely having dynamic normal value, otherwise be reconstructed with fixed value;
5) original value reconstruct: no matter namely data detection is normal or unusual, all use the data original value as the data reconstruction value.
Step (3): definition and configuration alarm business, realize the information management that the measuring point data accuracy is screened; The foreground program that data accuracy is screened provides configuration interface, after configuration is finished configuration information is saved in the relevant database; Foreground program also is responsible for reading checking information from concern the storehouse, carries out Web after the analyzing and processing and shows, such as " warning information inquiry " and " inquiry of the alarm details " page.
Alarm business is defined as follows:
6) alarm level: define redness, yellow and green three kinds of alarms according to the parameters sensitivity analysis result;
7) alarm dead band: the effective minimum duration requirement of data mode; Data mode comprises " check is unusual " and " check is normal ";
8) moment alarm: the data mode duration of " check is unusual " is less than the alarm of alarm dead band;
9) common alarm: the data mode duration of " check is unusual " is not less than the alarm of alarm dead band;
10) statistical indicator: from the managerial index that the angle of market demand proposes, the reflection measuring point is measured reliability, further data is used to exert an influence, such as statistics effective operational percentage of measuring point etc. in the phase.
Above demonstration and described ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; the present invention is not restricted to the described embodiments; that describes in above-described embodiment and the instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Claimed scope of the present invention is defined by appending claims and equivalent thereof.
Claims (8)
1. on-line measurement data accuracy discriminating method is characterized in that: may further comprise the steps:
Step (1): the interface routine by data acquisition generates the raw data formation from the online measurement data of fuel-burning power plant control system collection;
Step (2): data checking method is made dynamic link library, and the background program of being convenient to the data accuracy examination calls; Background program carries out data reconstruction after reading the relevant configuration information of relevant database the inside, the data queue after the output reconstruction processing, and store checking information into relational database for foreground program;
Step (3): definition and configuration alarm business, realize the information management that the measuring point data accuracy is screened; The foreground program that data accuracy is screened provides configuration interface, after configuration is finished configuration information is saved in the relevant database; Foreground program also is responsible for reading checking information from concern the storehouse, carries out Web after the analyzing and processing and shows.
2. a kind of on-line measurement data accuracy discriminating method according to claim 1 is characterized in that: the firepower power plant control system is the DCS control system in the step (1).
3. a kind of on-line measurement data accuracy discriminating method according to claim 1, it is characterized in that: the data checking method in the step (2) comprises: standard deviation check, catastrophe point check, redundant check, thick range check, correlation test.
4. a kind of on-line measurement data accuracy discriminating method according to claim 2, it is characterized in that: described redundant check comprises: standard deviation check, Dixon's test, the long-pending check of deviation.
5. a kind of on-line measurement data accuracy discriminating method according to claim 2, it is characterized in that: described correlation test is comprehensively judged strong relevant parameter for and experience theoretical according to thermal procession, if both differences far exceed the experience scope, then provide alarm.
6. a kind of on-line measurement data accuracy discriminating method according to claim 1, it is characterized in that: the data reconstruction mode in the step (2) comprises: the reconstruct of data checking method, dynamically normal value reconstruct, fixed value reconstruct, fixed value and dynamically automatically the cutting of normal value, original value reconstruct; Wherein, the priority of the reconstruct of data checking method is the highest.
7. a kind of on-line measurement data accuracy discriminating method according to claim 1 is characterized in that: alarm business is defined as follows in the step (3):
1) alarm level: define redness, yellow and green three kinds of alarms according to the parameters sensitivity analysis result;
2) alarm dead band: the effective minimum duration requirement of data mode; Data mode comprises " check is unusual " and " check is normal ";
3) moment alarm: the data mode duration of " check is unusual " is less than the alarm of alarm dead band;
4) common alarm: the data mode duration of " check is unusual " is not less than the alarm of alarm dead band;
5) statistical indicator: from the managerial index that the angle of market demand proposes, the reflection measuring point is measured reliability, further data is used to exert an influence.
8. a kind of on-line measurement data accuracy discriminating method according to claim 1 is characterized in that: Web shows and comprises " warning information inquiry " and " inquiry of alarm details " page in the step (3).
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