CN110058577A - Diagnosis control method, system, storage medium and terminal based on control object data correlation - Google Patents
Diagnosis control method, system, storage medium and terminal based on control object data correlation Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 75
- 238000003745 diagnosis Methods 0.000 title claims abstract description 40
- 238000003860 storage Methods 0.000 title claims abstract description 12
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- 239000002351 wastewater Substances 0.000 description 8
- 230000004069 differentiation Effects 0.000 description 5
- 238000013461 design Methods 0.000 description 3
- 238000004092 self-diagnosis Methods 0.000 description 3
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- 239000010865 sewage Substances 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 235000020681 well water Nutrition 0.000 description 2
- 239000002349 well water Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 241000406668 Loxodonta cyclotis Species 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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Abstract
The invention discloses diagnosis control method, system, storage medium and terminals based on control object data correlation, method includes data correlation establishment step and data association process step, data processing step includes following sub-step: being judged real-time collected data, it include: when the numerical value of some key non-control and/or multiple non-control does not fall within control data and corresponds to the limit section of value, then think to control and do not meet related relevance rule between data non-control associated with it, reports an error to control data diagnosis.The present invention carries out diagnosis control according to the characteristic of data correlation, so that being diagnosed when control object data occur abnormal, without directly accordingly being controlled, corresponding diagnosis control is made again after being only associated analysis to related data, can effectively avoid control system failure or the control failure of defect bring.Application of the invention will bring deep effect to traditional automatic control technology.
Description
Technical field
The present invention relates to automation control areas, more particularly to the diagnosis control method based on control object data correlation,
System, storage medium and terminal.
Background technique
Control object is also known as controlled device.In automatic control system, refers generally to the equipment controlled or process is object,
Such as reactor, the control of rectifying device or diabatic process, the control of combustion process etc..From quantitative analysis and design angle, control
Object processed is controlled device or influences some factors of object input, output parameter in the process, is not the whole of equipment.?
Actuator (regulating valve) and measurement in automatic control system, as the control object of broad sense, in addition to controller (adjuster)
Pick-up device is included.And the control object as narrow sense, end parameter (input, output) have controlled parameter, control
Parameter and disturbance parameter (being referred to as procedure parameter or process data), they are mutually interconnected by the internal state of control object
System.
In the prior art, for control mode, preset value+fixation process is used to the control mode of control object
Control is reduced to complex control system to control at this time based on the Controlling model for the simplification for simply executing output based on input
Model and controlled device are controlled if input signal error and are also malfunctioned there is no any relationship, and can not to input signal
It goes to identify its availability, only realizes basic automatically control.Similar control object is controlled using same Controlling model.Lift one
A example, controller only to the received analog signals sent from external sensor or other detection units (i.e.
Above process parameter or process data) corresponding data differentiation is carried out, relevant work device is controlled according to the result of differentiation
It starts and stops.Such as when being applied to bilge well drainage sunk well field, the water level signal that controller will test is used for water level
Differentiate, draining pump controlled according to the result of differentiation and is started and stopped: when water level, which rises to, opens pump position, starting draining pump into
Row work；And when water level is reduced to termination of pumping position, draining pump stops working.But actual conditions are: even similar control pair
As, it is variant between different specific control objects, there is different characteristics, existing control mode is unable to each tool of automatic identification
The characteristic of body control object can not carry out realizing differentiation control certainly according to specific Properties of Objects.In control process only
Pay close attention to whether controlled parameter reaches preset value, the change procedure without monitoring controlled parameter, due to being not concerned with controlled parameter
Change procedure can not accomplish comprehensive self diagnosis and PREDICTIVE CONTROL.
And for detecting element, due to existing control mode be all based on detecting element it is working properly under the premise of into
Capable, but actually be likely to malfunction in reliable detecting element.Detecting element is only done whether in its detection range
Simple diagnosis and processing, the requirement to detecting element reliability is high, a large amount of detecting elements high using import price.Nonetheless,
Comprehensive self diagnosis and processing are not carried out to it, when anomalous variation or failure, control system once occur in these detecting elements
System control just will appear malfunction or can not work, no faults-tolerant control function.That is, the prior art only occurs in process data
When dangerous situation (or the certain percentage for reaching threshold value), the specific control to control object is just carried out.So, work as production
The equipment of raw process data when something goes wrong, can directly control control object according to the process data, and cause entire
The problem of system-down.That is, the prior art can not be according to the actual change situation of process data, in some generation process
When the equipment of data occurs abnormal, faults-tolerant control is carried out to control object.
People also gradually recognize in engineering practice, select most reliable detecting element and executing agency, not necessarily
Most reliable control system can be assembled, as long as forming height with low reliability element can on the contrary, design, assembling and use are proper
Control system by property is also possible.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide the diagnosis controls based on control object data correlation
Method, system, storage medium and terminal, solving the prior art can not be according to the actual change situation of process data, in some production
When the equipment of raw process data occurs abnormal, is carried out to control object the problem of shutting down control.
The purpose of the present invention is achieved through the following technical solutions: the diagnosis control based on control object data correlation
Method, including data correlation establishment step and data association process step, the data correlation establishment step include following son
Step:
The incidence relation of data is established, the data include at least one control data and at least one non-controlling number
According to；The major control data is that the main monitoring of control object controls data and control foundation, and the non-control is
Other data associated with the control data；
The limit section of non-control of the control data in specified value is set；
The data processing step includes following sub-step:
Real-time collected data are judged, comprising:
Value is corresponded to when the numerical value of some key non-control and/or multiple non-control does not fall within control data
The limit section when, then it is assumed that related relevance rule is not met between control data non-control associated with it, to control
Data diagnosis processed reports an error.
Further, when the numerical value of some key non-control and/or multiple non-control does not fall within control number
According to corresponding value the limit section when, judge the control corrupt data, be not intended as the control foundation of corresponding control object, and with
Non-control as control according to control object carry out faults-tolerant control, i.e., with non-control be according to control object into
Row indirectly controls.
Further, further include that real-time collected data are judged in data correlation processing step:
Value is corresponded to when the numerical value of some key non-control and/or multiple non-control falls into control data
When limit section, then it is assumed that meet related relevance rule between control data non-control associated with it, then judge to control
Data processed are effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related pass
Connection property rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control
The diagnosis basis of object.
Further, when the numerical value of some key non-control and/or multiple non-control falls into control data
When the limit section of corresponding value, and there is the numerical value of one and/or several non-control not fall within control data and correspond to value
The limit section when, diagnose it and do not meet related relevance rule between associated control data, and according to non-control
The situation that reports an error, according to control data in advance and/or hysteresis manner to control object carry out PREDICTIVE CONTROL.
Further, the limit section replaces with positive and negative deviation range, the acquisition side of the positive and negative deviation range
Formula the following steps are included:
In control object actual motion, the continual detection control object includes control data and non-controlling number
According to data inside；
The average value relation curve of correspondence non-control of the control data in specified value is obtained, and establishes standard just
State regularity of distribution curve；
The positive and negative deviation of data correlation is determined according to the average value relation curve and standardized normal distribution law curve
Range.
Further, the non-control includes leading to the data and the control data of the control data variation
Variation leads to the changed data of other data.
The present invention also provides the diagnostic control system based on control object data correlation, including data correlation establish module and
Data correlation processing module, the data correlation establish module and include:
Data associating unit: for establishing the incidence relation of data, the data include at least one control data and
At least one non-control；The major control data is that the main monitoring of control object controls data and control foundation, institute
The non-control stated is other data associated with the control data；
Limit section setting unit: for the limit section of non-control of the control data in specified value to be arranged；
The data correlation processing module is used to judge real-time collected process data, comprising:
Control data determining unit: for the numerical value when some key non-control and/or multiple non-control
Control data are not fallen within when correspond to the limit section of value, then it is assumed that control and be not inconsistent between data non-control associated with it
Related relevance rule is closed, is reported an error to control data diagnosis.
Further, in the control data determining unit during being judged, when some key non-control
The numerical value of data processed and/or multiple non-control does not fall within control data when corresponding to the limit section of value, judges the control
Corrupt data is not intended as the control foundation of corresponding control object, and using non-control as control according to control object
Faults-tolerant control is carried out, i.e., is that foundation indirectly controls control object with non-control.
Further, the data correlation processing module further include:
Non-control judging unit: for the number when some key non-control and/or multiple non-control
Value falls into control data when correspond to the limit section of value, then it is assumed that controls and meets between data non-control associated with it
Related relevance rule then judges that control data are effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related pass
Connection property rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control
The diagnosis basis of object.
Further, in non-control judging unit, when some key non-control and/or multiple non-controlling
The numerical value of data falls into control data when corresponding to the limit section of value, and has the numerical value of one and/or several non-control
Control data are not fallen within when corresponding to the limit section of value, it is diagnosed and does not meet related relevance between associated control data
Rule, and according to the situation that reports an error of non-control, shift to an earlier date according to control data and/or hysteresis manner carries out control object
PREDICTIVE CONTROL.
Further, the limit section replaces with positive and negative deviation range；
Wherein, limit section setting unit replaces with positive and negative deviation range setting unit, and the positive and negative deviation range is set
Setting unit includes following subelement: data acquisition subelement: in control object actual motion, continual detection should
The data including control data and non-control of control object；Data computation subunit: for obtaining control data
The average value relation curve of correspondence non-control in specified value, and establish standardized normal distribution law curve；It is positive and negative
Deviation range determines subelement: for determining data according to the average value relation curve and standardized normal distribution law curve
Associated positive and negative deviation range.
Further, the non-control includes leading to the data and the control data of the control data variation
Variation leads to the changed data of other data.
The present invention also provides a kind of storage mediums, are stored thereon with computer instruction, and the computer instruction is held when running
The step of diagnosis control method based on control object data correlation described in row.
The present invention also provides a kind of terminal, including memory and processor, being stored on the memory can be at the place
The computer instruction run on reason device, based on control object number described in execution when the processor runs the computer instruction
The step of according to associated diagnosis control method.
The beneficial effects of the present invention are:
(1) present invention carries out diagnosis control according to the characteristic of data correlation, so that when control object data occur abnormal
It is diagnosed, without directly accordingly being controlled, only related data is associated after analysis and makes corresponding diagnosis control again
System can effectively avoid control system failure or the control failure of defect bring, system, storage medium and device provided by the invention
Also corresponding technical problem is solved.Application of the invention will bring deep effect to traditional automatic control technology.
(2) present invention is in this automatic control of former base, by monitoring the change procedure of main control parameter, autonomous learning and control
Properties of Objects processed, it is autonomous respectively to realize PREDICTIVE CONTROL and faults-tolerant control；Due to having the function of comprehensive diagnos and faults-tolerant control, drop
The requirement of the low reliability to detecting element can use domestic detecting element to replace import detecting element, if design, assembling and
Using proper, the control system with low reliability element composition high reliability is also possible.
(3) another preferred embodiment of the invention, to control object dynamic characteristic can by long-term accumulation and calculating,
Using the characteristic of control object itself, self study and differentiation control that is autonomous perfect, and realizing homogeneous object are realized.
(4) control system during the work time, realizes comprehensive self diagnosis by its characteristic, and realize certainly according to diagnostic result
Main control reduces or does not depend on the intervention artificially to control process.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is present system block diagram.
Specific embodiment
Technical solution of the present invention is clearly and completely described with reference to the accompanying drawing, it is clear that described embodiment
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that belong to "center", "upper", "lower", "left", "right", "vertical",
The direction of the instructions such as "horizontal", "inner", "outside" or positional relationship be based on direction or positional relationship described in attached drawing, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, belonging to " first ", " second " only
For descriptive purposes, it is not understood to indicate or imply relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, belong to " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
As long as in addition, the non-structure each other of technical characteristic involved in invention described below different embodiments
It can be combined with each other at conflict.
Embodiment 1
The present embodiment provides the diagnosis control method based on control object data correlation, this method is applied to various automations
In control system, can according to the actual change situation of process data, when the equipment that some generates process data occurs abnormal,
It is reported an error rather than is shut down to control object, avoid influence caused by whole shut down.
Specifically, as shown in Figure 1, the method includes data correlation establishment step S1 and data association process step
S2.The data correlation establishment step includes following sub-step:
S11: establishing the incidence relation of data, and the data include at least one control data and at least one non-controlling
Data；The major control data is that the main monitoring of control object controls data and control foundation, the non-control
For other data associated with the control data.
Wherein, data are controlled and non-control is data relevant to control object, and preferably, in this implementation
Example in, the non-control include cause it is described control data variation data and the control data variation cause it is other
The changed data of data.
In addition, the data include the pace of change of process data detected value itself and/or process data detected value.
By taking bilge well drainage system as an example, control object is draining pump.
The control data are wastewater level data (being obtained by bilge well level detection sensor) or sewage
Sewage Well Water Level reduces speed when the Well Water Level rate of climb (being obtained by bilge well level detection sensor) and draining pump work
(being obtained by bilge well level detection sensor), it is following based on wastewater level data.
And its corresponding non-control be include draining pump operating time (being obtained by draining pump or its controller),
The adjacent starting time (pass through draining pump or its controller obtain) of draining pump, the oil pressure numerical value of draining pump, draining pump oil level
One or more of numerical value.
S12: the limit section of non-control of the setting control data in specified value.
Wherein, in the present embodiment, following three kinds of situations are specifically included to the step:
(1) by the artificially various operating conditions of setting control object under normal operation, the control under various operating conditions is obtained
There are control data when various operating conditions in normal operation in the limit section of the process data of object processed, i.e., the described control object
The maximum value and minimum value of non-control are corresponded to when each value；Or
(2) limit section is set according to the data detected after the control object normal operation input, i.e. acquisition institute
It states control object and controls maximum value and minimum that data correspond to non-control in each value in normal course of operation
Value；Or
(3) by way of software emulation, simulation control object controls data in each value in normal operation
The maximum value and minimum value of corresponding non-control, the setting in Lai Jinhang limit section.
I.e. the setting in limit section can be according to artificial setting operating condition to obtain, can also be according to the actual conditions of operation
It is configured, can also be realized by way of simulation.
Limiting value set in addition can be actual numerical value, the certain percentage for the actual numerical value being also possible to.
That is, in the present embodiment, need to establish wastewater level (or pace of change) in each water level value, point
Not it is adjacent with draining pump operating time, draining pump starting the time, the oil pressure numerical value of draining pump, draining pump oil level numerical value in pole
Limit section.
After completing data correlation establishment step S1, data correlation processing step S2 is come into effect.Specifically, the number
Include following sub-step according to association process step:
S2: real-time collected process data is judged, comprising:
Value is corresponded to when the numerical value of some key non-control and/or multiple non-control does not fall within control data
The limit section when, then it is assumed that related relevance rule is not met between control data non-control associated with it, to control
Data diagnosis processed reports an error.
Wherein, in the present embodiment, as wastewater level is in each water level value, respectively by collected draining pump work
Duration, the draining pump adjacent starting time, the oil pressure numerical value of draining pump, draining pump oil level numerical value in data and corresponding limit region
Between be compared, if wherein 3 go beyond the limit of section, to control data report an error.
In general, in data establishment step S1, when real-time collected process data is under normal circumstances
When, the non-control in process data is certain in the limit section for falling into corresponding control data.
If in certain group process data at some time point, some key non-control and/or multiple non-controlling
When the numerical value of data does not fall within corresponding control data and correspond to the limit section of value, then it is assumed that control data non-control associated with it
Correlation rule is not met between data processed, then judges that controlling data is that (sensing for generating control data is set in vain at this time
Standby or transmission route goes wrong), and diagnosis is carried out to control data and is reported an error.
That is, if there is the situation in above-mentioned steps, acquiring the water level sensor of wastewater level at this time, have very much can
It can go wrong, need to report an error to water level sensor at this time.
In addition, in the preferred embodiment of the present embodiment, when some key non-control and/or multiple non-controlling numbers
According to numerical value do not fall within control data correspond to the limit section of value when, judge the control corrupt data, be not intended as correspond to control
The control foundation of object processed, and using non-control as control according to faults-tolerant control is carried out to control object, i.e., with non-controlling
Data are that foundation indirectly controls control object.
Specifically, in the preferred embodiment at this, described " must not be using the control data as the corresponding control pair of control
The foundation of elephant, using non-control as the foundation for controlling corresponding control object ", including two ways are controlled:
(1) threshold value is respectively set to non-control respectively, i.e., feelings is arranged according to the threshold value of non-control at this time
Condition controls control object.I.e. if non-control is more than threshold value at this moment, carry out starting spare executing agency very
To be alarm operation, according to the actual situation depending on.
(2) threshold value is arranged to control data, is answered according to the anti-major control data that pushes back of the actual range of multiple non-control
The numerical value having (such mode needs to collect a large amount of available datas and realized), according to the control data and threshold being derived by
Value is compared.
Realize the fault tolerant operation to whole automatic control system at this time, i.e., when control data and non-control between go out
Exception is showed, non-control can be used, system is controlled, rather than has directly shut down.
Under normal conditions, there is above-mentioned condition, generally the device efficiency of control object reduces or health failure (is adopted
Collect the water level sensor of wastewater level).Because in general, even if higher or lower feelings integrally occurs in process data
Condition, non-control can also meet correlation rule between control data in process data, rather than some non-control
And/or the numerical value of multiple non-control does not fall within the limit section of corresponding control data.
Specifically, in some cases it may which the quantity of non-control, such as percent are set with the mode of ratio
40 or more non-control does not fall within the limit section of corresponding control data, then it is assumed that control data invalid；And other one
In a little situations, it can also be configured according to the quantity of specific non-control, such as 2 non-control do not fall within corresponding control
In the limit section of the value of data processed, then it is assumed that control data invalid.In addition, being in some non-control and control data
When strong incidence relation or the extremely important non-control, when the non-control does not fall within the limit region of corresponding control data
Between, directly think to control data invalid.Above-mentioned several situations need to be determined according to the actual situation.
It more preferably, in the present embodiment, further include to new collected process data in data correlation processing step S2
Judged:
Value is corresponded to when the numerical value of some key non-control and/or multiple non-control falls into control data
When limit section, then it is assumed that meet related relevance rule between control data non-control associated with it, then judge to control
Data processed are effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related pass
Connection property rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control
The diagnosis basis of object.
With being mentioned in above-mentioned data correlation processing step S2 on the contrary, the step controls whether data are normal for judging
Data, specifically, if most of non-control or some crucial non-control fall into the pole of the control data
Limit section, then it is assumed that control data are normal data.
At this point, corresponding to this kind of situation, it is preferable that in the present embodiment, for some non-control and/or multiple non-
The value of control data falls into the case where limit section of corresponding control data, judgement do not fall within the non-control in limit section with
Related relevance rule is not met between associated control data, and is further contemplated that the non-control is invalid data,
It reports an error to non-control and not as the control foundation of diagnosis control object.
And then judge to obtain that the element of the non-control or relevant device are abnormal, and take corresponding operating.I.e. at this time not
The non-control for falling into deviation profile region can be abnormal data under normal conditions, and artificial/machine is needed accordingly to be judged
Operation.
It is preferred that in the present embodiment, when some key non-control and/or multiple non-control
Numerical value falls into control data when corresponding to the limit section of value, and has one and/or the numerical value of several non-control is not fallen within
When control data correspond to the limit section of value, diagnoses it and does not meet related relevance rule between associated control data,
And according to the situation that reports an error of non-control, shifts to an earlier date according to control data and/or hysteresis manner predicts control object
Control.
Specifically, since when most of non-control are in the limit section for controlling data, non-control is not made
For the control foundation of control object, but its non-control for going beyond the limit of process section can also illustrate that related content is asked
Topic (collection terminal itself goes wrong or data acquisition goes wrong), therefore the situation that can be reported an error at this time according to non-control,
In advance and/or lag is implemented to control control object.
At this point, realizing when non-control occurs abnormal and carrying out PREDICTIVE CONTROL according to major control data.
In the present embodiment, wastewater level (or pace of change) is in each water level value, draining pump operating time, draining
Pump the adjacent starting time, the oil pressure numerical value of draining pump, draining pump the actual value of oil level numerical value distinguish the corresponding limit
Section is compared, if the oil level numerical value of only draining pump exceeds corresponding limit section, therefore by the oil level number of draining pump
Value reports an error.
Meanwhile by the way of PREDICTIVE CONTROL, draining pump oil level numerical value beyond corresponding limit section or other
Situation carries out in advance/lag to draining pump and controls according to the actual conditions of wastewater level.
Wherein, above-mentioned any situation can be held control object when controlling threshold value of the data beyond setting
Row relevant operation.And for PREDICTIVE CONTROL, threshold value can be adjusted according to reporting an error for non-control, so that control data
Before reaching the threshold value of script, controlled.
In addition, the realization based on above-mentioned any content, in the present embodiment, the limit section replace with positive and negative deviation
Range, wherein the acquisition modes of the positive and negative deviation range the following steps are included:
In control object actual motion, the continual detection control object includes control data and non-controlling number
According to data inside；
The average value relation curve of correspondence non-control of the control data in specified value is obtained, and establishes standard just
State regularity of distribution curve；
The positive and negative deviation of data correlation is determined according to the average value relation curve and standardized normal distribution law curve
Range.
That is, the present embodiment also provides a kind of diagnostic method, judgement in data can be made from limit process area
Between replace with positive and negative deviation range, when determine including control data and non-control including process data be more than positive negative bias
Poor range, when not meeting normal distribution law requirement, to control object reported an error and above-mentioned preferred embodiment in fault-tolerant control
System and PREDICTIVE CONTROL.
Specifically, in data correlation establishment step S1, since mass data is carried out standardized normal distribution calculating, new
When collected data are under normal circumstances, the non-control in data is certain to fall into the deviation point of corresponding control data
Cloth region.
It specifically, in this step, can be using the control data in the process data of the control object as axis of abscissas
X, while using the non-control in the process data of the control object as axis of ordinates y establishes control data and each non-
The incidence relation y=f (x) of data is controlled, while obtaining the average value curve of corresponding non-control.
Under normal conditions, in the lesser situation of Primary Stage Data amount, the deviation profile region can be set to percentage
60, and in the biggish situation of later data amount, the deviation profile region can be set to 95 percent very
To being 99 percent.
Embodiment 2
The present embodiment provides the diagnostic control system based on control object data correlation, the inventive concepts and implementation of the system
Example 1 is identical, is applied in various automatic control systems, can be according to the actual change situation of process data, in some generation
It when the equipment of process data occurs abnormal, is reported an error rather than is shut down to control object, avoid influence caused by whole shut down.
Specifically, as shown in Fig. 2, the system includes that data correlation establishes module and data association process module, institute
The data correlation stated establishes module
Data associating unit: for establishing the incidence relation of data, the data include at least one control data and
At least one non-control；The major control data is that the main monitoring of control object controls data and control foundation, institute
The non-control stated is other data associated with the control data；
Limit section setting unit: for the limit section of non-control of the control data in specified value to be arranged；
The data correlation processing module is used to judge real-time collected process data, comprising:
Control data determining unit: for the numerical value when some key non-control and/or multiple non-control
Control data are not fallen within when correspond to the limit section of value, then it is assumed that control and be not inconsistent between data non-control associated with it
Related relevance rule is closed, is reported an error to control data diagnosis.
More preferably, in the present embodiment, in the control data determining unit during being judged, when some
The numerical value of key non-control and/or multiple non-control does not fall within control data when corresponding to the limit section of value,
Judge the control corrupt data, is not intended as the control foundation of corresponding control object, and using non-control as control foundation
Faults-tolerant control is carried out to control object, i.e., is that foundation indirectly controls control object with non-control.
More preferably, in the present embodiment, the data correlation processing module further include:
Non-control judging unit: for the number when some key non-control and/or multiple non-control
Value falls into control data when correspond to the limit section of value, then it is assumed that controls and meets between data non-control associated with it
Related relevance rule then judges that control data are effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related pass
Connection property rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control
The diagnosis basis of object.
More preferably, in the present embodiment, in non-control judging unit, when some key non-control and/
Or the numerical value of multiple non-control falls into control data when corresponding to the limit section of value, and have one and/or several non-controls
The numerical value of data processed does not fall within control data when corresponding to the limit section of value, diagnoses it and is not inconsistent between associated control data
Related relevance rule is closed, and according to the situation that reports an error of non-control, according to control data in advance and/or hysteresis manner pair
Control object carries out PREDICTIVE CONTROL.
More preferably, in the present embodiment, the limit section replaces with positive and negative deviation range；
Wherein, limit section setting unit replaces with positive and negative deviation range setting unit, and the positive and negative deviation range is set
Setting unit includes following subelement: data acquisition subelement: in control object actual motion, continual detection should
The data including control data and non-control of control object；Data computation subunit: for obtaining control data
The average value relation curve of correspondence non-control in specified value, and establish standardized normal distribution law curve；It is positive and negative
Deviation range determines subelement: for determining data according to the average value relation curve and standardized normal distribution law curve
Associated positive and negative deviation range.
More preferably, in the present embodiment, the non-control include cause it is described control data variation data and
The control data variation leads to the changed data of other data.
The explanation of relevant portion in diagnostic control system provided in an embodiment of the present invention based on control object data correlation
Refer to the embodiment of the present invention 1 offer the diagnosis control method based on control object data correlation in corresponding part specifically
Bright, details are not described herein.In addition, in above-mentioned technical proposal provided in an embodiment of the present invention with corresponding technical side in the prior art
The consistent part of case realization principle is simultaneously unspecified, in order to avoid excessively repeat.
Embodiment 3
Based on the realization of embodiment 1, the present embodiment also provides a kind of storage medium, is stored thereon with computer instruction, institute
State the step that the diagnosis control method based on control object data correlation described in embodiment 1 is executed when computer instruction operation
Suddenly.
Based on this understanding, the technical solution of the present embodiment substantially the part that contributes to existing technology in other words
Or the part of the technical solution can be embodied in the form of software products, which is stored in one and deposits
In storage media, including some instructions are used so that a computer equipment (can be personal computer, server or network
Equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.And storage medium above-mentioned include: USB flash disk,
Mobile hard disk, read-only memory (Read-OnlyMemory, ROM), random access memory (RandomAccessMemory,
RAM), the various media that can store program code such as magnetic or disk.
Embodiment 4
Based on the realization of embodiment 1, the present embodiment also provides a kind of terminal, including memory and processor, the storage
The computer instruction that can be run on the processor is stored on device, the processor executes when running the computer instruction
The step of diagnosis control method described in embodiment 1 based on control object data correlation.
Each functional unit in embodiment provided by the invention can integrate in a processor, be also possible to each
Unit physically exists alone, and can also be integrated in one unit with two or more units.
Obviously, the above embodiments are merely examples for clarifying the description, and does not limit the embodiments, right
For those of ordinary skill in the art, can also make on the basis of the above description other it is various forms of variation or
It changes.There is no necessity and possibility to exhaust all the enbodiments.And thus amplify out it is obvious variation or
It changes still within the protection scope of the invention.
Claims (14)
1. the diagnosis control method based on control object data correlation, it is characterised in that: including data correlation establishment step sum number
According to association process step, the data correlation establishment step includes following sub-step:
The incidence relation of data is established, the data include at least one control data and at least one non-control；Institute
The major control data stated is that the main monitoring of control object controls data and control foundation, the non-control for it is described
Control other associated data of data；
The limit section of non-control of the control data in specified value is set；
The data processing step includes following sub-step:
Real-time collected data are judged, comprising:
When the numerical value of some key non-control and/or multiple non-control does not fall within the pole that control data correspond to value
When limiting section, then it is assumed that related relevance rule is not met between control data non-control associated with it, to control number
It reports an error according to diagnosis.
2. the diagnosis control method according to claim 1 based on control object data correlation, it is characterised in that: when some
The numerical value of key non-control and/or multiple non-control does not fall within control data when corresponding to the limit section of value,
Judge the control corrupt data, is not intended as the control foundation of corresponding control object, and using non-control as control foundation
Faults-tolerant control is carried out to control object, i.e., is that foundation indirectly controls control object with non-control.
3. the diagnosis control method according to claim 1 or 2 based on control object data correlation, it is characterised in that:
Further include that real-time collected data are judged in data correlation processing step:
When the numerical value of some key non-control and/or multiple non-control falls into the limit that control data correspond to value
When section, then it is assumed that meet related relevance rule between control data non-control associated with it, then judge to control number
According to effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related relevance
Rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control object
Diagnosis basis.
4. the diagnosis control method according to claim 3 based on control object data correlation, it is characterised in that: when some
The numerical value of key non-control and/or multiple non-control falls into control data when corresponding to the limit section of value, and
When thering is the numerical value of one and/or several non-control not fall within control data to correspond to the limit section of value, itself and pass are diagnosed
Related relevance rule is not met between the control data of connection, and according to the situation that reports an error of non-control, according to control data
With in advance and/or hysteresis manner to control object carry out PREDICTIVE CONTROL.
5. the diagnosis control method according to any one of claims 1 to 3 based on control object data correlation, special
Sign is: the limit section replaces with positive and negative deviation range, and the acquisition modes of the positive and negative deviation range include following
Step:
It is continual to detect existing including control data and non-control for the control object in control object actual motion
Interior data；
The average value relation curve of correspondence non-control of the control data in specified value is obtained, and establishes standard normal point
Cloth law curve；
The positive and negative deviation range of data correlation is determined according to the average value relation curve and standardized normal distribution law curve.
6. the diagnosis control method according to claim 1 based on control object data correlation, it is characterised in that: described
Non-control includes causing the data of the control data variation and the control data variation that other data is caused to become
The data of change.
7. the diagnostic control system based on control object data correlation, it is characterised in that: establish module sum number including data correlation
According to association process module, the data correlation establishes module and includes:
Data associating unit: for establishing the incidence relation of data, the data include at least one control data and at least
One non-control；The major control data is that the main monitoring of control object controls data and control foundation, described
Non-control is other data associated with the control data；
Limit section setting unit: for the limit section of non-control of the control data in specified value to be arranged；
The data correlation processing module is used to judge real-time collected process data, comprising:
Control data determining unit: for not fallen when the numerical value of some key non-control and/or multiple non-control
When entering to control data and corresponding to the limit section of value, then it is assumed that do not meet phase between control data non-control associated with it
Relevance rule is closed, is reported an error to control data diagnosis.
8. the diagnostic control system according to claim 7 based on control object data correlation, it is characterised in that: described
Control data determining unit during being judged, when some key non-control and/or multiple non-controlling numbers
According to numerical value do not fall within control data correspond to the limit section of value when, judge the control corrupt data, be not intended as correspond to control
The control foundation of object processed, and using non-control as control according to faults-tolerant control is carried out to control object, i.e., with non-controlling
Data are that foundation indirectly controls control object.
9. the diagnostic control system according to claim 7 or 8 based on control object data correlation, it is characterised in that: institute
The data correlation processing module stated further include:
Non-control judging unit: for being fallen when the numerical value of some key non-control and/or multiple non-control
When entering to control data and corresponding to the limit section of value, then it is assumed that meet correlation between control data non-control associated with it
Relevance rule then judges that control data are effective, and the control foundation as corresponding control object；
Judgement simultaneously does not fall between the non-control control data associated with it in limit section and does not meet related relevance
Rule, and it is further contemplated that the non-control is invalid data, it reports an error to non-control, and not as control object
Diagnosis basis.
10. the diagnostic control system according to claim 9 based on control object data correlation, it is characterised in that: non-
It controls in data determining unit, when the numerical value of some key non-control and/or multiple non-control falls into control number
According to corresponding value the limit section when, and there is the numerical value of one and/or several non-control not fall within control data correspondence and take
When the limit section of value, diagnoses it and do not meet related relevance rule between associated control data, and according to non-controlling number
According to the situation that reports an error, according to control data in advance and/or hysteresis manner to control object carry out PREDICTIVE CONTROL.
11. the diagnostic control system based on control object data correlation according to any one of claim 7~9,
Be characterized in that: the limit section replaces with positive and negative deviation range；
Wherein, limit section setting unit replaces with positive and negative deviation range setting unit, and the positive and negative deviation range is arranged single
Member includes following subelement: data acquisition subelement: being used for continual detection control in control object actual motion
The data including control data and non-control of object；Data computation subunit: referring to for obtaining control data
The average value relation curve of correspondence non-control when determining value, and establish standardized normal distribution law curve；Positive and negative deviation
Range determines subelement: for determining data correlation according to the average value relation curve and standardized normal distribution law curve
Positive and negative deviation range.
12. the diagnostic control system according to claim 7 based on control object data correlation, it is characterised in that: described
Non-control include that the data of the control data variation and the control data variation is caused to lead to the generations of other data
The data of variation.
13. a kind of storage medium, is stored thereon with computer instruction, it is characterised in that: the computer instruction executes when running
The step of diagnosis control method described in any one of claims 1 to 6 based on control object data correlation.
14. a kind of terminal, including memory and processor, the meter that can be run on the processor is stored on the memory
Calculation machine instruction, which is characterized in that perform claim requires any one of 1 to 6 institute when the processor runs the computer instruction
The step of diagnosis control method based on control object data correlation stated.
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