CN108255142A - Quality of production control method and device - Google Patents
Quality of production control method and device Download PDFInfo
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- CN108255142A CN108255142A CN201810055637.9A CN201810055637A CN108255142A CN 108255142 A CN108255142 A CN 108255142A CN 201810055637 A CN201810055637 A CN 201810055637A CN 108255142 A CN108255142 A CN 108255142A
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The present invention provides a kind of quality of production control method and device.The method includes：It is obtained according to prefixed time interval and stores the power generation data of electric power generation system and production environment data；The selection operation of control object is treated in response, and the data corresponding with object to be controlled in the power generation data of storage or production environment data are sampled according to default Sampling Strategies；Statistic operation is carried out, and draw corresponding control figure according to result of calculation to the data that sampling obtains；The corresponding data of control object are treated based on the control figure and carry out unusual condition detection, and control program corresponding with unusual condition is searched when detecting unusual condition；Control electric power generation system is adjusted power generation flow according to the control program, to complete the control to power generation quality.The method resource consumption is small, and precision is high, and power generation quality can be made to maintain preferable state, improves power generation efficiency.
Description
Technical field
The present invention relates to power generation control technology field, in particular to a kind of quality of production control method and dress
It puts.
Background technology
With the continuous development of science and technology and people's living standards continue to improve, electric power is in daily life
In the status that occupies also ever more important, therefore, for power generation control technology, how to ensure that power generation quality is maintained at
The problem of preferable state is one particularly important.
For now, industry major flow controls power generation flow frequently with the mode that artificial detection regulates and controls,
So as to which power generation quality be made to be maintained at preferable state.But this method human resources consumption is big, and error rate is big, control accuracy
It is not high, easily cause heavy losses.
Invention content
In order to overcome above-mentioned deficiency of the prior art, the purpose of the present invention is to provide a kind of quality of production control methods
And device, quality of production control method human resources consumption is small, and precision is high, can make power generation quality maintain compared with
Good state, to improve power generation efficiency.
For quality of production control method, preferred embodiments of the present invention provide a kind of quality of production control method, institute
Method is stated applied to electric power generation system control centre, the electric power generation system control centre prestores to produce control
Control program, the method includes：
It is obtained according to prefixed time interval and stores the power generation data of electric power generation system and production environment data；
The selection operation of control object is treated in response, according to default Sampling Strategies to the power generation data of storage or
Data corresponding with the object to be controlled in the production environment data are sampled；
Statistic operation is carried out, and draw corresponding control figure according to result of calculation to the data that sampling obtains；
Unusual condition detection is carried out, and different detecting to the corresponding data of the object to be controlled based on the control figure
Control program corresponding with the unusual condition is searched during normal situation；
The electric power generation system is controlled to be adjusted according to the control program to power generation flow, to complete to electricity
The control of the power quality of production.
For quality of production control device, preferred embodiments of the present invention provide a kind of quality of production control device, institute
Device is stated applied to electric power generation system control centre, the electric power generation system control centre prestores to produce control
Control program.Described device includes：
Data acquisition module, for the power generation data of electric power generation system to be obtained and stored according to prefixed time interval
And production environment data；
Sampling of data module, for responding the selection operation for treating control object, according to default Sampling Strategies to storage
Data corresponding with the object to be controlled in the power generation data or the production environment data are sampled；
Image Rendering module, the data for being obtained to sampling carry out statistic operation, and according to result of calculation drafting pair
The control figure answered；
Abnormality detection module carries out unusual condition for being based on the control figure to the corresponding data of the object to be controlled
Detection, and control program corresponding with the unusual condition is searched when detecting unusual condition；
Produce control module, for control the electric power generation system according to the control program to power generation flow into
Row adjustment, to complete the control to power generation quality.
In terms of existing technologies, the quality of production control method and device that preferred embodiments of the present invention provide have
Following advantageous effect：The quality of production control method human resources consumption is small, and precision is high, can tie up power generation quality
It holds in preferable state, to improve power generation efficiency.Specifically, the method according to prefixed time interval by obtaining and depositing
Store up the power generation data of electric power generation system and production environment data；The selection operation of control object is treated by response, is pressed
According to default Sampling Strategies in the power generation data of storage or the production environment data with the object to be controlled
Corresponding data are sampled, and carry out statistic operation to the data that sampling obtains, corresponding to be drawn according to result of calculation
Control figure.The method carries out unusual condition detection by being based on the control figure to the corresponding data of the object to be controlled,
And corresponding with unusual condition control program is searched when detecting unusual condition, control the electric power generation system according to
The control program is adjusted power generation flow, so as to complete the control to power generation quality, makes power generation matter
Amount maintains preferable state, improves power generation efficiency.
For the above objects, features and advantages of the present invention is enable to be clearer and more comprehensible, present pre-ferred embodiments cited below particularly,
And attached drawing appended by coordinating, it is described in detail below.
Description of the drawings
It in order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only certain embodiments of the present invention, therefore is not construed as pair
The restriction of the claims in the present invention protection domain, for those of ordinary skill in the art, what is do not made the creative labor
Under the premise of, it can also be obtained according to these attached drawings other relevant attached drawings.
Fig. 1 is the first flow diagram of quality of production control method that preferred embodiments of the present invention provide.
Fig. 2 is second of flow diagram of quality of production control method that preferred embodiments of the present invention provide.
Fig. 3 is the third flow diagram of quality of production control method that preferred embodiments of the present invention provide.
Fig. 4 is a kind of block diagram of quality of production control device that preferred embodiments of the present invention provide.
Fig. 5 is another block diagram of quality of production control device that preferred embodiments of the present invention provide.
Icon：100- quality of production control devices；110- data acquisition modules；120- sampling of data modules；130- images
Drafting module；140- abnormality detection modules；150- produces control module；160- prediction of quality modules；170- configuration modules.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
Part of the embodiment of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be configured to arrange and design with a variety of different.
Therefore, below the detailed description of the embodiment of the present invention to providing in the accompanying drawings be not intended to limit it is claimed
The scope of the present invention, but be merely representative of the present invention selected embodiment.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiments obtained without creative efforts belong to the model that the present invention protects
It encloses.
It should be noted that：Similar label and letter represents similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need to that it is further defined and explained in subsequent attached drawing.In description of the invention
In, it should be noted that term " first ", " second ", " third " etc. are only used for distinguishing description, and it is not intended that instruction or dark
Show relative importance.
It is small that how a kind of human resources consumption is provided, and precision height can make power generation quality maintain preferable shape
State, and the quality of production control method that power generation is efficient are that the technology for being badly in need of solving is asked to those skilled in the art
Topic.
Below in conjunction with the accompanying drawings, it elaborates to some embodiments of the present invention.In the absence of conflict, it is following
Feature in embodiment and embodiment can be combined with each other.
Fig. 1 is please referred to, is the first flow signal for the quality of production control method that preferred embodiments of the present invention provide
Figure.In embodiments of the present invention, the quality of production control method is applied to electric power generation system control centre, the method people
Power resource consumption is small, and precision is high, can make power generation by way of the power production process for controlling electric power generation system
Quality maintains preferable state, so as to improve power generation efficiency.Wherein described electric power generation system control centre be for
Control the overall control center of the overall operation flow of the electric power generation system.Below to quality of production control method shown in FIG. 1
Idiographic flow and step be described in detail.
In embodiments of the present invention, the quality of production control method includes the following steps：
Step S210 is obtained according to prefixed time interval and is stored the power generation data of electric power generation system and production ring
Border data.
In the present embodiment, the electric power generation system includes multiple PLC controllers and multiple for carrying out power generation
Electronic equipment, each PLC controller is electrically connected with corresponding electronic equipment, for the correspondence control electronic equipment
Working condition, so as to fulfill power generation.The electric power generation system control centre can be connected by serial bus, GPRS nets
Network connects or the mode of WiFi network connection, is communicated to connect with multiple PLC controllers, for according to prefixed time interval
Power generation data when getting electric power generation system progress power generation and production are corresponded at multiple PLC controllers
Environmental data.Wherein, the power generation data include steam turbine charge flow rate, steam turbine goes out in throughput, fan outlet flow
One or more combinations, the production environment data include one kind or more in pressure, temperature, specific volume, thermodynamic energy, enthalpy and entropy
Kind combination.
In the present embodiment, the PLC controller is monitored in real time by the operating status to corresponding electronic equipment
Mode, the corresponding data of the electronic equipment are acquired, cleaned etc. with processing, and by according to prefixed time interval to
The mode for data that the electric power generation system control centre sends that treated, enables the electric power generation system control centre
The power generation data of the electric power generation system and production environment data are got according to prefixed time interval.It is wherein described pre-
If time interval can be 4 minutes or 5 minutes, can also be 8 minutes.
In the present embodiment, the electric power generation system can also include data server, the data server setting
Between multiple PLC controllers and the electric power generation system control centre, and respectively with the PLC controller and described
Electric power generation system control centre communicates to connect, under the action of the electric power generation system control centre, to getting
The power generation data and production environment data stored.Specifically, it is built with life in advance in the data server
Produce process database and environment data base, the data server is by the power generation data got and the production ring
Border data are entered into respectively in the production process database and environment data base, to realize to the power generation data and institute
State the storage of production environment data.In the present embodiment, the data server is to the power generation data and the life
When production environmental data is stored, data rule detection can be carried out to the power generation data and the production environment data,
So as to which the data for meeting the data rule be stored, for carrying out subsequently normalized set.
Step S220, the selection operation of control object is treated in response, according to default Sampling Strategies to the electric power of storage
Data corresponding with the object to be controlled in creation data or the production environment data are sampled.
In the present embodiment, the object to be controlled is by work in the power generation data or the production environment data
Make the manufacturing parameter that can influence power generation quality state of personnel's selection, such as steam turbine charge flow rate, pressure or temperature.Its
Described in electric power generation system control centre can to staff provide touch screen by way of, enable staff to institute
Object to be controlled is stated to be chosen.
The electric power generation system control centre, will be by after receiving staff and treating the selection operation of control object
According to default Sampling Strategies from the power generation data or the production environment data of storage pair with the object to be controlled
Corresponding data are sampled.
Specifically, it is described according to the power generation data of the default Sampling Strategies to storage or the production environment data
In data corresponding with the object to be controlled the step of being sampled, including：
Based on the data container of sample interval, subgroup number and single subgroup set in the default Sampling Strategies
Number extracts the data of respective numbers, and the data extracted are divided from the corresponding data of the object to be controlled
Group.
Wherein, the data container number of the subgroup number and single subgroup can be described with characterize data population of samples mesh
Sample interval can characterize the electric power generation system control centre and the corresponding data of the object to be controlled are taken out
The frequency of sample, the electric power generation system control centre is according to the number of the sample interval, subgroup number and single subgroup
According to accommodating number, number and sampling of data can be extracted from the data corresponding with the object to be controlled that meet data rule
The identical data of total number, and the data being drawn into are carried out according to the data container number of the subgroup number and single subgroup
Packet transaction obtains final packet situation.
Step S230 carries out statistic operation, and draw corresponding control according to result of calculation to the data that sampling obtains
Figure.
In the present embodiment, the control figure includes range chart and average value figure, the electric power generation system control centre
It can be by the range chart and the average value figure to the operating status with the object to be controlled in the electric power generation system
Carry out analysis detection.Specifically, described pair of obtained data of sampling carry out statistic operation, and draw and correspond to according to result of calculation
Control figure the step of, including：
The very poor value of statistical average, data to each subgroup calculates, and according to result of calculation and the subgroup number
Correspondence obtains the sample mean of data from the sample survey and very poor average value；
It is from the corresponding range chart structure of variable control figure coefficient table search according to the data container number of single subgroup
Number, according to the range chart build coefficient and the very poor mean value calculation obtain the center line of range chart, upper control limit and under
Control limit, and the center line based on the range chart, upper control limit, lower control limit and each subgroup the very poor value of data draw out pair
The range chart answered；
It is built according to the data container number of single subgroup from the corresponding average value figure of variable control figure coefficient table search
Coefficient builds coefficient, the sample mean and the very poor mean value calculation according to the average value figure and obtains average value figure
Center line, upper control limit and lower control limit, and center line, upper control limit and lower control limit based on the average value figure and each
The statistical average of subgroup draws out corresponding average value figure.
Wherein, the statistical average of each subgroup be each subgroup it is corresponding accommodate data between average value, each son
The statistical average of group is the corresponding very poor value for accommodating data of each subgroup, and the sample mean is the data of all subgroups
Average value between average value, average value of the very poor average value between the very poor value of data of all subgroups.
The data container number of the single subgroup builds coefficient with the range chart in variable control figure coefficient table and puts down
Mean value figure builds coefficient there are correspondence, and the electric power generation system control centre can hold according to the data of the single subgroup
Number of receiving gets corresponding range chart structure coefficient and average value figure structure coefficient, and based on range chart structure coefficient,
The very poor mean value calculation obtains the center line, upper control limit and lower control limit of range chart, is built based on the average value figure
Coefficient, the sample mean and the very poor mean value calculation obtain the center line, upper control limit and lower control of average value figure
Limit, so as to draw out correspondence according to the very poor value of data of the center line of the range chart, upper control limit, lower control limit and each subgroup
Range chart, drawn according to center line, upper control limit and the lower control limit of the average value figure and the statistical average of each subgroup
Go out corresponding average value figure.
Step S240 carries out unusual condition detection based on the control figure to the corresponding data of the object to be controlled, and
Control program corresponding with the unusual condition is searched when detecting unusual condition.
In the present embodiment, the electric power generation system control centre prestores the control program for producing control, institute
The number for stating control program is multiple, and multiple control programs are associated with respectively from different unusual conditions, the power generation
System Control Center can provide corresponding when detecting that unusual condition occurs in electric power generation system to the electric power generation system
Control program.Specifically, the electric power generation system control centre can be by dividing the very poor value of data each in the range chart
The distribution situation of each statistical average is analyzed and processed in cloth situation and the average value figure, so as to be to each subset data
It is no that there are unusual conditions to carry out judgement detection, and control corresponding with the unusual condition is found when detecting unusual condition
Scheme.In the present embodiment, scheme database, the electric power generation system control centre can be built in the data server
The control program can be stored by the scheme database in the data server.
In the present embodiment, the electric power generation system control centre can be reported in real time when detecting unusual condition
Alert, the electric power generation system control centre can carry out different degrees of alarm according to different unusual conditions.
Step S250 controls the electric power generation system to be adjusted according to the control program to power generation flow,
To complete the control to power generation quality.
In the present embodiment, the electric power generation system control centre is finding control corresponding with the object to be controlled
During scheme processed, by by multiple PLC controllers control multiple electronic equipments that the electric power generation system includes according to
The control program is run, and so as to be adjusted to power generation flow, completes the control to power generation quality.
Fig. 2 is please referred to, is second of flow signal for the quality of production control method that preferred embodiments of the present invention provide
Figure.In embodiments of the present invention, the quality of production control method can also include：
Production control parameter corresponding with the control program is input in quality of production prediction model by step S260,
And based on the quality of production prediction model to power generation quality of the electric power generation system under the control program into
Row prediction.
In the present embodiment, the electric power generation system control centre prestores to simulate power production process
Quality of production prediction model, the electric power generation system control centre is by the quality of production prediction model to the control
Power generation quality under scheme carries out simulation and forecast, so that staff corrects the control program according to prediction result.Tool
Body, the electric power generation system control centre by will production control parameter corresponding with the control program be input to it is described
In quality of production prediction model, to be based on the quality of production prediction model to electric power generation system in the corresponding controlling party
Power generation quality under case carries out simulation and forecast.Wherein described production control parameter is corresponding with the object to be controlled
Control parameter.
Fig. 3 is please referred to, is the third flow signal for the quality of production control method that preferred embodiments of the present invention provide
Figure.In embodiments of the present invention, the quality of production control method further includes：
Step S209, to default Sampling Strategies, the corresponding control program of various unusual conditions and quality of production prediction model
It is configured.
In the present embodiment, the default Sampling Strategies, the corresponding control program of various unusual conditions and the quality of production are pre-
Model is surveyed to be configured in the electric power generation system control centre according to practical power production process by staff.
Fig. 4 is please referred to, is a kind of box signal for the quality of production control device 100 that preferred embodiments of the present invention provide
Figure.In embodiments of the present invention, the quality of production control device 100 is applied to electric power generation system control centre, the life
Yield and quality control device 100 includes data acquisition module 110, sampling of data module 120, Image Rendering module 130, abnormality detection
Module 140 and production control module 150.
The data acquisition module 110, for the electric power of electric power generation system to be obtained and stored according to prefixed time interval
Creation data and production environment data.
In the present embodiment, the data acquisition module 110 can perform the step S210 in Fig. 1, specifically perform
Journey can refer to above to the detailed description of step S210.
The sampling of data module 120, for responding the selection operation for treating control object, according to default Sampling Strategies pair
Data corresponding with the object to be controlled in the power generation data or the production environment data of storage are taken out
Sample.
In the present embodiment, the sampling of data module 120 according to default Sampling Strategies to the power generation of storage
The mode that data corresponding with the object to be controlled in data or the production environment data are sampled, including：
Based on the data container of sample interval, subgroup number and single subgroup set in the default Sampling Strategies
Number extracts the data of respective numbers, and the data extracted are divided from the corresponding data of the object to be controlled
Group.
Wherein, the sampling of data module 120 can perform the step S220 in Fig. 1, and specific implementation procedure can refer to
Above to the detailed description of step S220.
Described image drafting module 130, the data for being obtained to sampling carry out statistic operation, and according to result of calculation
Draw corresponding control figure.
In the present embodiment, the control figure includes range chart and average value figure, and described image drafting module 130 is to sampling
Obtained data carry out statistic operation, and the mode of corresponding control figure is drawn according to result of calculation, including：
The very poor value of statistical average, data to each subgroup calculates, and according to result of calculation and the subgroup number
Correspondence obtains the sample mean of data from the sample survey and very poor average value；
It is from the corresponding range chart structure of variable control figure coefficient table search according to the data container number of single subgroup
Number, according to the range chart build coefficient and the very poor mean value calculation obtain the center line of range chart, upper control limit and under
Control limit, and the center line based on the range chart, upper control limit, lower control limit and each subgroup the very poor value of data draw out pair
The range chart answered；
It is built according to the data container number of single subgroup from the corresponding average value figure of variable control figure coefficient table search
Coefficient builds coefficient, the sample mean and the very poor mean value calculation according to the average value figure and obtains average value figure
Center line, upper control limit and lower control limit, and center line, upper control limit and lower control limit based on the average value figure and each
The statistical average of subgroup draws out corresponding average value figure.
Wherein, described image drafting module 130 can perform the step S230 in Fig. 1, and specific implementation procedure can refer to
Above to the detailed description of step S230.
The abnormality detection module 140 carries out the corresponding data of the object to be controlled for being based on the control figure
Unusual condition detects, and control program corresponding with the unusual condition is searched when detecting unusual condition.
In the present embodiment, the electric power generation system control centre prestores the control program for producing control, institute
The number for stating control program is multiple, and multiple control programs are associated with respectively from different unusual conditions, the power generation
System Control Center can provide corresponding when detecting that unusual condition occurs in electric power generation system to the electric power generation system
Control program.The abnormality detection module 140 can perform the step S240 in Fig. 1, and specific implementation procedure can refer to above
In to the detailed description of step S240.
The production control module 150, for the electric power generation system to be controlled to be given birth to according to the control program to electric power
Production flow is adjusted, to complete the control to power generation quality.
In the present embodiment, the production control module 150 can perform the step S250 in Fig. 1, specifically perform
Journey can refer to above to the detailed description of step S250.
Fig. 5 is please referred to, is that another box for the quality of production control device 100 that preferred embodiments of the present invention provide shows
It is intended to.In embodiments of the present invention, the quality of production control device 100 can also include prediction of quality module 160.
The prediction of quality module 160, for production control parameter corresponding with the control program to be input to production
In quality prediction model, and based on the quality of production prediction model to the electric power generation system under the control program
Power generation quality is predicted.
In the present embodiment, the electric power generation system control centre prestores to simulate power production process
Quality of production prediction model, the electric power generation system control centre is by the quality of production prediction model to the control
Power generation quality under scheme carries out simulation and forecast, so that staff corrects the control program according to prediction result.Institute
Step S260 in Fig. 2 can be performed by stating prediction of quality module 160, and specific implementation procedure can refer to above to step S260
Detailed description.
In embodiments of the present invention, the quality of production control device 100 can also include configuration module 170.
The configuration module 170, for default Sampling Strategies, the corresponding control program of various unusual conditions and production
Quality prediction model is configured.
In conclusion in the quality of production control method and device provided in preferred embodiments of the present invention, the production
The consumption of method of quality control human resources is small, and precision is high, and power generation quality can be made to maintain preferable state, to improve
Power generation efficiency.Specifically, the method according to prefixed time interval by obtaining and storing the electric power of electric power generation system
Creation data and production environment data；The selection operation of control object is treated by response, according to default Sampling Strategies to storage
The power generation data or the production environment data in data corresponding with the object to be controlled be sampled, and
Statistic operation is carried out to the data that sampling obtains, to draw corresponding control figure according to result of calculation.The method passes through base
Unusual condition detection is carried out, and look into when detecting unusual condition to the corresponding data of the object to be controlled in the control figure
Control program corresponding with the unusual condition is looked for, controls the electric power generation system according to the control program to power generation
Flow is adjusted, and so as to complete the control to power generation quality, power generation quality is made to maintain preferable state, is improved
Power generation efficiency.The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for this field
Technical staff for, the invention may be variously modified and varied.All within the spirits and principles of the present invention, that is made appoints
What modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of quality of production control method, applied to electric power generation system control centre, in the electric power generation system control
The heart prestores the control program for producing control, which is characterized in that the method includes：
It is obtained according to prefixed time interval and stores the power generation data of electric power generation system and production environment data；
The selection operation of control object is treated in response, according to default Sampling Strategies to the power generation data of storage or described
Data corresponding with the object to be controlled in production environment data are sampled；
Statistic operation is carried out, and draw corresponding control figure according to result of calculation to the data that sampling obtains；
Unusual condition detection is carried out, and detecting abnormal shape to the corresponding data of the object to be controlled based on the control figure
Control program corresponding with the unusual condition is searched during condition；
The electric power generation system is controlled to be adjusted according to the control program to power generation flow, to complete to give birth to electric power
The control of yield and quality.
2. according to the method described in claim 1, it is characterized in that, it is described according to default Sampling Strategies to the electric power of storage
The step of data corresponding with the object to be controlled in creation data or the production environment data are sampled, including：
Based on the data container number of sample interval, subgroup number and single subgroup set in the default Sampling Strategies
Mesh extracts the data of respective numbers, and the data extracted are grouped from the corresponding data of the object to be controlled.
3. according to the method described in claim 2, it is characterized in that, the control figure include range chart and average value figure, it is described
The step of statistic operation is carried out to the data that sampling obtains, and corresponding control figure is drawn according to result of calculation, including：
The very poor value of statistical average, data to each subgroup calculates, and is corresponded to according to result of calculation and the subgroup number
Obtain the sample mean of data from the sample survey and very poor average value；
Coefficient, root are built from the corresponding range chart of variable control figure coefficient table search according to the data container number of single subgroup
Coefficient is built according to the range chart and the very poor mean value calculation obtains the center line, upper control limit and lower control of range chart
Limit, and the center line based on the range chart, upper control limit, lower control limit and each subgroup the very poor value of data draw out it is corresponding
Range chart；
Coefficient is built from the corresponding average value figure of variable control figure coefficient table search according to the data container number of single subgroup,
Coefficient, the sample mean and the very poor mean value calculation are built according to the average value figure and obtain the center of average value figure
Line, upper control limit and lower control limit, and center line, upper control limit and lower control limit based on the average value figure and each subgroup
Statistical average draws out corresponding average value figure.
4. according to the method described in claim 1, it is characterized in that, the electric power generation system control centre prestore for pair
The quality of production prediction model that power production process is simulated, the method further include：
Production control parameter corresponding with the control program is input in the quality of production prediction model, and based on described
Quality of production prediction model predicts power generation quality of the electric power generation system under the control program.
5. according to the method described in claim 4, it is characterized in that, the method further includes：
Default Sampling Strategies, the corresponding control program of various unusual conditions and quality of production prediction model are configured.
6. a kind of quality of production control device, applied to electric power generation system control centre, in the electric power generation system control
The heart prestores the control program for producing control, which is characterized in that described device includes：
Data acquisition module, for the power generation data of electric power generation system and life to be obtained and stored according to prefixed time interval
Produce environmental data；
Sampling of data module, for responding the selection operation for treating control object, according to default Sampling Strategies to described in storage
Data corresponding with the object to be controlled in power generation data or the production environment data are sampled；
Image Rendering module, the data for being obtained to sampling carry out statistic operation, and corresponding according to result of calculation drafting
Control figure；
Abnormality detection module carries out unusual condition inspection for being based on the control figure to the corresponding data of the object to be controlled
It surveys, and control program corresponding with the unusual condition is searched when detecting unusual condition；
Control module is produced, for the electric power generation system to be controlled to be adjusted according to the control program to power generation flow
It is whole, to complete the control to power generation quality.
7. device according to claim 6, which is characterized in that the sampling of data module is according to default Sampling Strategies to depositing
Data corresponding with the object to be controlled in the power generation data or the production environment data of storage are sampled
Mode, including：
Based on the data container number of sample interval, subgroup number and single subgroup set in the default Sampling Strategies
Mesh extracts the data of respective numbers, and the data extracted are grouped from the corresponding data of the object to be controlled.
8. device according to claim 6, which is characterized in that the control figure includes range chart and average value figure, described
Image Rendering module carries out statistic operation to the data that sampling obtains, and the side of corresponding control figure is drawn according to result of calculation
Formula, including：
The very poor value of statistical average, data to each subgroup calculates, and is corresponded to according to result of calculation and the subgroup number
Obtain the sample mean of data from the sample survey and very poor average value；
Coefficient, root are built from the corresponding range chart of variable control figure coefficient table search according to the data container number of single subgroup
Coefficient is built according to the range chart and the very poor mean value calculation obtains the center line, upper control limit and lower control of range chart
Limit, and the center line based on the range chart, upper control limit, lower control limit and each subgroup the very poor value of data draw out it is corresponding
Range chart；
Coefficient is built from the corresponding average value figure of variable control figure coefficient table search according to the data container number of single subgroup,
Coefficient, the sample mean and the very poor mean value calculation are built according to the average value figure and obtain the center of average value figure
Line, upper control limit and lower control limit, and center line, upper control limit and lower control limit based on the average value figure and each subgroup
Statistical average draws out corresponding average value figure.
9. device according to claim 6, which is characterized in that the electric power generation system control centre prestore for pair
The quality of production prediction model that power production process is simulated, described device further include：
Prediction of quality module, for production control parameter corresponding with the control program to be input to the quality of production prediction
In model, and the power generation based on the quality of production prediction model to the electric power generation system under the control program
Quality is predicted.
10. device according to claim 9, which is characterized in that described device further includes：
Configuration module, for default Sampling Strategies, the corresponding control program of various unusual conditions and quality of production prediction model
It is configured.
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