CN109902335A - Realize the filtering method and system of online control model technology stability - Google Patents
Realize the filtering method and system of online control model technology stability Download PDFInfo
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Abstract
The present invention provides a kind of filtering method for realizing online control model technology stability and system, comprising: setting bandwidth cycle；Acquire online control model output data point at any time；The steady state data point not less than bandwidth cycle is taken, obtains its maximum value and minimum value, the difference of maximum value and minimum value is filtering bandwidth；It is filtered using each data point of the filtering bandwidth to online control model, comprising: under filtering bandwidth permanence condition, set initial maximum value bandwidth and initial bandwidth minimum as any value；Judge the first data point whether within the scope of initial maximum value bandwidth and initial bandwidth minimum；In range, the first data point is filtered into bandwidth target value, bandwidth target value is above range any value；Not in range, filtering bandwidth integral translation makes the first data point within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum, and the first data point is filtered into bandwidth target value after translating；It repeats the above steps and successively data point is filtered.
Description
Technical field
The present invention relates to technical field of ferrous metallurgy, more specifically, are related to realizing online control model technology stability
Filtering method and system.
Background technique
In continuous casting process online control model, the overwhelming majority is based on models for temperature field calculated result, such as: dynamic secondary cooling mould
Surface temperature, solidification end, shell thickness etc. of the type based on Temperature calculating；Dynamic draught model is based on solidification end, slab
Solid rate etc. at different location, and since models for temperature field is the discrete solution to continuous heat transfer differential equation, it is often more important that
Discrete grid block is also being carried out along throwing direction, is being managed and is calculated in a manner of briquet, lead to models for temperature field calculated result
Even if there is also concussions under steady state conditions, the techniques such as dynamic secondary cooling water and pressure are formulated with the calculated result with concussion, it must
The concussion of technological parameter is so brought, on the one hand this concussion is models for temperature field processing bring, not actual conditions, another party
Face carries out device action control with the technological parameter with concussion, will lead to equipment and is frequently in adjustment process, influences technique
Stability, the service life of control and device systems.
For example the drafts of slighter compress model pressure roller is mainly solid according to corresponding center at solidification end or pressure roller
One after another formulate, even if models for temperature field calculate solidification end and depress roller at corresponding center solid rate under steady state conditions,
Concussion is still remained, the drafts of slighter compress model is caused ceaselessly to shake, goes control equipment with the drafts constantly shaken,
Naturally always be in frequent adjustment process, cause it is unstable in technique, cause control system it is frequent adjust to electric appliance and equipment
Service life affect.
Wherein, stable state refers to that the models for temperature field such as pulling rate, tundish temperature, crystallizer water and the temperature difference, secondary coolingwater calculate
With the situation that parameter is all constant, and unstable state is the case where models for temperature field calculating parameter changes, wherein pulling rate
Variation influences Calculated Results of Temperature Field most significant.
For existing filter method there are commonly least square fitting and mean filter method, least square fitting algorithm can only be
The characteristics of smoothed data to a certain extent, filtering is can to retain detail signal, therefore when noise signal is excessively strong, most
Small two smooth effects for multiplying fitting process are not obvious, and excessive noise is still retained by filtered data, it is difficult to which satisfaction is wanted
It asks.And the feature of mean filter method maximum is available good smooth effect, but its smooth effect is the lag with the time
Loss with detail signal is cost.Therefore it under Low SNR, must be used to obtain satisfied smooth effect
The mean filter of long data segment, then consequence is that the detailed information of some key aspects is lost, and hysteresis is obvious, that is to say, that
Mean filter can be carried out in the technology of least square fitting, is formed and improves filter algorithm, as described in Figure 1, improved comprehensive
Although a degree of amendment can be carried out to bad point in the case where data have bad point by closing filtering algorithm, deposited in initial data
In the case where fluctuation, existing filtering method processing result can still be in fluctuation status process, and occur objectively
After variation, processing result has certain hysteresis quality again, and this hysteresis quality is exactly the characteristic being filtered.
Under steady state conditions, the variation of the model calculation is non-objective completely, is caused by model itself, with noise
Based on, and in unstable state, after removing noise caused by model itself, variation is again objective for the variation of calculated result
, it should not be handled by lag, and be not appropriate at present for the method for signal filtering.Existing filtering method is unable to satisfy stabilization
The requirement of technique.
Existing filtering method it is difficult to ensure that can be adequately filtered out " noise ", to guarantee that model calculates under steady state conditions
As a result stability can only reduce the concussion range of calculated result, be unable to reach the requirement of technology stability.More important is such as
Fruit corresponding slab center solid rate at unstable state situation, such as the continuous elevation process of pulling rate, solidification end or pressure roller
It necessarily changes again, this variation is actual conditions, but existing filtering method can have more or less hysteresis quality, and stagnant
Property and the sharply degree of unstable state variation have larger connection afterwards, this is not inconsistent with actual conditions yet.
Summary of the invention
In view of the above problems, the object of the present invention is to provide a kind of realization stable states and transient the model calculation to go
Shake the filtering method and system of the online control model technology stability of function.
According to an aspect of the present invention, a kind of filtering method for realizing online control model technology stability is provided, is wrapped
It includes:
Bandwidth cycle is set, the bandwidth cycle is the data points for setting quantity；
The data point that acquisition online control model exports at any time；
The steady state data point that the online control model not less than bandwidth cycle exports at any time is taken, the steady state data is obtained
The difference of the maximum value and minimum value of point, the maximum value and minimum value is filtering bandwidth；
It is filtered using each data point of the filtering bandwidth to online control model, comprising:
Under conditions of meeting the difference of initial maximum value bandwidth and initial bandwidth minimum is filtering bandwidth, initial strip is set
Wide maximum value and initial bandwidth minimum are any value；
Judge the first data point that online control model exports at any time numerical value whether initial maximum value bandwidth and just
Within the scope of beginning bandwidth minimum；
If first data point is filtered into bandwidth target in the range, by the numerical value of first data point
Value, the bandwidth target value are any value within the scope of initial maximum value bandwidth and initial bandwidth minimum；
If first data point is not in the range, by filtering bandwidth integral translation, so that the first data point
Numerical value is within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum, by the numerical value of first data point
Bandwidth target value after being filtered into translation, the bandwidth target value after the translation is in the corresponding bandwidth of the translation post filtering bandwidth
Within the scope of maximum value and bandwidth minimum；
It repeats the above steps, successively the data point that online control model exports at any time is filtered.
Preferably, the bandwidth target value be set as bandwidth minimum perhaps maximum value bandwidth or maximum value bandwidth and
The average value or bandwidth minimum of bandwidth minimum and the golden section point of maximum value bandwidth.
Moreover it is preferred that the method for the setting bandwidth cycle includes:
Judge that model output time series whether there is cyclic fluctuation when stable state；
If there is no cyclic fluctuation, bandwidth cycle is set, the bandwidth cycle is the data points for setting quantity；
If there is periodical cyclic fluctuation, bandwidth cycle, the bandwidth cycle are determined according to the cyclic fluctuation
For the data points of a period of waves of cyclic fluctuation.
Preferably, the filtering method for realizing online control model technology stability, further includes:
Parameter time series of the temperature collection field model with parameter at any time, the models for temperature field include drawing with parameter
Speed, tundish temperature, crystallizer water and the temperature difference and secondary coolingwater, as surely when the models for temperature field is used parameter constant
State, as unstable state when using parameter to change the models for temperature field；
Acquire the model output time series of the corresponding online control model of the parameter time series at any time, it is described
Line traffic control simulation includes one or both of dynamic secondary cooling model and dynamic draught model, and the model is exported including slab not
With at position solid rate, surface temperature, shell thickness and solidification end position it is one or more.
Preferably, the filtering bandwidth carries out adaptive according to the model output time series that on-time model exports at any time
Variation, comprising:
The queue length of filtering bandwidth queue is set as m, m is greater than the data points n of bandwidth cycle；
Institute is added in first data point by first data point for searching the model output time series in stable state
State filtering bandwidth queue；
Whether the latter data point of first data point described in judgment models output time series is also at stable state；
When the latter data point of first data point is also at stable state, the latter data point is also added
The filtering bandwidth queue；
When the latter data point of first data point is not at stable state, filtering bandwidth queue is emptied, is looked into again
Look for first data point in stable state；
Repeat the above steps, until the queue length of filtering bandwidth queue reaches m, by maximum value in filtering bandwidth queue and
The difference of minimum value is as filtering bandwidth；
The filtering bandwidth queue that queue length reaches m is emptied, back to the step for searching first data point in stable state
Suddenly, filtering bandwidth is updated.
Preferably, the bandwidth cycle is one of the time span or model output time series cyclic fluctuation set
The time span of period of waves.
According to another aspect of the present invention, a kind of filtering system for realizing online control model technology stability is provided,
Include:
Bandwidth cycle setting module, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Acquisition module, the data point that acquisition online control model exports at any time；
Filtering bandwidth obtains module, the steady state data for taking the online control model not less than bandwidth cycle to export at any time
Point, obtains the maximum value and minimum value of the steady state data point, and the difference of the maximum value and minimum value is filtering bandwidth；
Filter module is filtered using each data point of the filtering bandwidth to online control model,
Wherein, the filter module includes:
4th setup unit, in the condition that the difference for meeting initial maximum value bandwidth and initial bandwidth minimum is filtering bandwidth
Under, initial maximum value bandwidth and initial bandwidth minimum are set as any value；
Whether third judging unit judges the numerical value for the first data point that online control model exports at any time in initial strip
Within the scope of wide maximum value and initial bandwidth minimum；If first data point sends a signal to filtering in the range
Unit, if first data point sends a signal to translation unit not in the range；
Translation unit, by filtering bandwidth integral translation, so that the numerical value of the first data point is corresponding in translation post filtering bandwidth
Maximum value bandwidth and bandwidth minimum within the scope of, send a signal to filter unit and the 4th setup unit, the 4th setting
Unit is updated initial maximum value bandwidth and initial bandwidth minimum according to the signal of translation unit；
Filter unit receives the signal of judging unit, and the numerical value of first data point is filtered into bandwidth target value, institute
Stating bandwidth target value is any value within the scope of initial maximum value bandwidth and initial bandwidth minimum；Receive the letter of translation unit
Number, the numerical value of first data point is filtered into the bandwidth target value after translation, the bandwidth target value after the translation is in institute
It states within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum；
Second counting unit is counted to by the data point of filtering of filter unit, using next data point as
First data point is sent to third judging unit.
Preferably, the bandwidth target value be set as bandwidth minimum perhaps maximum value bandwidth or maximum value bandwidth and
The average value or bandwidth minimum of bandwidth minimum and the golden section point of maximum value bandwidth.
Preferably, the bandwidth cycle setting module includes:
First judging unit judges that model output time series whether there is cyclic fluctuation when stable state, if there is no
Cyclic fluctuation sends a signal to the first setup unit；If there is periodical cyclic fluctuation, the second setting is sent a signal to
Unit；
First setup unit, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Second setup unit determines that bandwidth cycle, the bandwidth cycle are cyclic fluctuation according to the cyclic fluctuation
A period of waves data points.
Preferably, it includes fixed-bandwidth configuration part or bandwidth self-adaption portion that the filtering bandwidth, which obtains module,
Wherein, the fixed-bandwidth configuration part randomly selects the online control model not less than bandwidth cycle and exports at any time
Continuous steady state data point, obtain the maximum value and minimum value of the continuous steady state data point, the maximum value and minimum value it
Difference be filtering bandwidth, the filter module using the fixed-bandwidth configuration part obtain filtering bandwidth to online control model with
The filtering of bandwidth is fixed in each data point of time output；
Wherein, the bandwidth self-adaption portion includes:
Third setup unit sets the queue length of filtering bandwidth queue as m, and m is greater than the data points n of bandwidth cycle；
Searching unit searches first data point of the model output time series in stable state；
The filtering bandwidth queue is added in first data point by construction unit；
Second judgment unit, whether the latter data point of first data point described in judgment models output time series
It is also at stable state, when the latter data point of first data point is also at stable state, sends a signal to construction unit, institute
It states construction unit and the filtering bandwidth queue is also added in the latter data point；When the latter of first data point
When data point is not at stable state, sending a signal to and empty unit and searching unit, the unit that empties empties filtering bandwidth queue,
The searching unit searches first data point in stable state again；
First counting unit counts the queue length of the filtering bandwidth queue of construction unit building, when the team
Column length reaches m, sends a signal to bandwidth obtaining unit；
Bandwidth obtaining unit, after the signal for receiving the first counting unit, filtering bandwidth queue that construction unit is all built
The difference of middle maximum value and minimum value sends a signal to as filtering bandwidth and empties unit and searching unit, described to empty unit
The filtering bandwidth queue that the queue length in construction unit reaches m is emptied, the searching unit searches again and queue length is added
Reach first data point that stable state is in the data point of the model output time series after the filtering bandwidth queue of m.
The filtering method and system of above-mentioned online control model technology stability are the passivated of suitable online control model
Filtering method and system, may be implemented stable state and transient the model calculation goes concussion function, to guarantee online given
The stability of technique improves the stability of apparatus control system process, improves the service life of control and device systems.It gives simultaneously
The Online statistics method of bandwidth is able to achieve online bandwidth parameter self-adjusting.
Detailed description of the invention
By reference to the explanation below in conjunction with attached drawing, and with a more complete understanding of the present invention, of the invention is other
Purpose and result will be more clearly understood and understood.In the accompanying drawings:
Fig. 1 is that synthesis improvement filters the coordinate diagram being filtered to pulling rate in the prior art；
Fig. 2 is the filtering method of the present invention for realizing online control model technology stability；
Fig. 3 is the schematic diagram of present invention passivation filtering method；
Fig. 4 is the composition block diagram of the filtering system of the present invention for realizing online control model technology stability；
Fig. 5 is the coordinate diagram that solidification end changes over time under stable state；
Fig. 6 is before filtering of the solidification end within the scope of filtering bandwidth and filtered schematic diagram；
Fig. 7 is a kind of schematic diagram of solidification end mobile mode of bandwidth not within the scope of filtering bandwidth；
Fig. 8 is a kind of schematic diagram of solidification end mobile mode of bandwidth not within the scope of filtering bandwidth；
Fig. 9 is under stable state, and solidification end filters preceding and filtered coordinate diagram；
Figure 10 is under unstable state, and solidification end filters preceding and filtered coordinate diagram；
Figure 11 is that long-time Temperature calculating solidification end changes over time the coordinate diagram without transpassivation filtering processing；
Figure 12 is that long-time Temperature calculating solidification end changes over time the coordinate diagram after transpassivation is filtered；
Figure 13 is that long-time Temperature calculating solidification end is changed over time without transpassivation filtering processing and through transpassivation
The reduced coordinates figure of filtering processing；
Figure 14 is the coordinate diagram that solid rate changes over time；
Figure 15 is that the filtering of slab solid rate time series is preceding at one position of short time and is passivated filtered reduced coordinates
Figure；
Figure 16 is that the filtering of slab solid rate time series is preceding at the one position of long-time and is passivated filtered comparison
Coordinate diagram；
Figure 17 is that the filtering of slab solid rate time series is preceding at another position and is passivated filtered reduced coordinates figure.
Specific embodiment
In the following description, for purposes of illustration, it in order to provide the comprehensive understanding to one or more embodiments, explains
Many details are stated.It may be evident, however, that these embodiments can also be realized without these specific details.
Hereinafter, specific embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 2 shows the filtering method schematic diagrames of the present invention for realizing online control model technology stability, such as Fig. 2 institute
Show, the filtering method includes:
Step S1, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Step S2, the data point that acquisition online control model exports at any time；
Step S3, the steady state data point for taking the online control model not less than bandwidth cycle to export at any time, described in acquisition
The difference of the maximum value and minimum value of steady state data point, the maximum value and minimum value is filtering bandwidth；
Step S4 is filtered using each data point of the filtering bandwidth to online control model, specifically, is used
" deactivating process for the treatment of " is filtered, and is in short exactly that a bandwidth is arranged to variable, as shown in figure 3, bandwidth parameter includes
Bandwidth minimum Bmin, maximum value bandwidth Bmax and bandwidth target value Aim, Bmin and Bmax constitute bandwidth range (filtering
Bandwidth), bandwidth target value is that (bandwidth target value can be the flat of maximum value bandwidth Bmax and bandwidth minimum Bmin to filter value
, it is also possible to combine set algorithm to obtain according to maximum value bandwidth Bmax and bandwidth minimum Bmin according to the actual situation, than
The for example golden section point etc. of bandwidth minimum and maximum value bandwidth).If the real-time variable value of online control model output exists
In bandwidth range, variable is filtered into bandwidth target value always；If real-time variable value not in bandwidth range, carries out corresponding
Variation, specific practice are that foundation sets rule translation bandwidth (i.e. the maximum value and minimum value of increase simultaneously or reduction bandwidth),
So that the real-time variable value, in the filter bandwidth after translation, variable filter value is filtered into the bandwidth target value Aim after translation,
Above-mentioned filtering method is known as " passivation filtering ".
In one alternate embodiment, in step s 4, it is described using the filtering bandwidth to the every of online control model
The method that a data point is filtered includes:
Step S41 is (poor under conditions of meeting the difference of initial maximum value bandwidth and initial bandwidth minimum and being filtering bandwidth
Be worth it is constant, such as filtering bandwidth when stable state), set initial maximum value bandwidth and initial bandwidth minimum as any value, constitute
Initial value range obtains bandwidth target value, and the bandwidth target value is in the range；
Step S42, judge the first data point that online control model exports at any time numerical value whether initial bandwidth most
Within the scope of big value and initial bandwidth minimum；
If first data point is in the range, in step S43, the numerical value of first data point is filtered
For bandwidth target value, the bandwidth target value is any value within the scope of initial maximum value bandwidth and initial bandwidth minimum, example
Such as, the bandwidth target value can be set as bandwidth minimum perhaps maximum value bandwidth or maximum value bandwidth and bandwidth minimum
The average value or bandwidth minimum of value and the golden section point of maximum value bandwidth；
If first data point is not in the range, in step S44, by filtering bandwidth integral translation, so that
The numerical value of first data point is within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum, by described first
The numerical value of data point is filtered into the bandwidth target value after translation, and the bandwidth target value after the translation is in the translation post filtering band
Within the scope of the corresponding maximum value bandwidth of width and bandwidth minimum；
Step S45, using the maximum value bandwidth of first data point and bandwidth minimum range as second data point
Initial maximum value bandwidth and initial bandwidth minimum range (if the numerical value of first data point within the scope of initial value,
Initial value range, which remains unchanged, is used as the initial value range of second data point, if the numerical value of first data point is not initial
In data area, then the maximum value bandwidth after filtering bandwidth translation and minimum value are constituted range as second data point just
Beginning data area), repeat the above steps S41-S44, is successively filtered to the data point that online control model exports at any time.
In another alternative embodiment, in step S41, what the filtering bandwidth exported at any time according to on-time model
Model output time series carry out adaptive change, comprising:
The queue length of filtering bandwidth queue is set as m, m is greater than the data points n of bandwidth cycle；
Institute is added in first data point by first data point for searching the model output time series in stable state
State filtering bandwidth queue；
Whether the latter data point of first data point described in judgment models output time series is also at stable state；
When the latter data point of first data point is also at stable state, the latter data point is also added
The filtering bandwidth queue；
When the latter data point of first data point is not at stable state, filtering bandwidth queue is emptied, is looked into again
Look for first data point in stable state；
Repeat the above steps, until the queue length of filtering bandwidth queue reaches m, by maximum value in filtering bandwidth queue and
The difference of minimum value is as filtering bandwidth；
The filtering bandwidth queue that queue length reaches m is emptied, back to the step for searching first data point in stable state
Suddenly, filtering bandwidth is updated.
In one alternate embodiment, in step sl, the method for the setting bandwidth cycle includes:
Judge that model output time series whether there is cyclic fluctuation when stable state；
If there is no cyclic fluctuation, bandwidth cycle is set, the bandwidth cycle is the data points for setting quantity；
If there is periodical cyclic fluctuation, bandwidth cycle, the bandwidth cycle are determined according to the cyclic fluctuation
For the data points of a period of waves of cyclic fluctuation.
In an alternate embodiment of the present invention where, above-mentioned filtering method can be used for models for temperature field and with temperature field mould
The relevant online control model of type, therefore, above-mentioned filtering method further include:
Parameter time series of the temperature collection field model with parameter at any time, the models for temperature field include drawing with parameter
Speed, tundish temperature, crystallizer water and the temperature difference and secondary coolingwater, as surely when the models for temperature field is used parameter constant
State, as unstable state when using parameter to change the models for temperature field；
Acquire the model output time series of the corresponding online control model of the parameter time series at any time, it is described
Line traffic control simulation includes one or both of dynamic secondary cooling model and dynamic draught model, and the model is exported including slab not
With at position solid rate, surface temperature, shell thickness and solidification end position it is one or more.
Fig. 4 is the filtering system of the present invention for realizing online control model technology stability, as shown in figure 4, the filter
Wave system is united
Bandwidth cycle setting module 10, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Acquisition module 20, the data point that acquisition online control model exports at any time；
Filtering bandwidth obtains module 30, the steady state data for taking the online control model not less than bandwidth cycle to export at any time
Point, obtains the maximum value and minimum value of the steady state data point, and the difference of the maximum value and minimum value is filtering bandwidth；
Filter module 40 is filtered using each data point of the filtering bandwidth to online control model,
Wherein, the filter module 40 includes:
4th setup unit 41, in the item that the difference for meeting initial maximum value bandwidth and initial bandwidth minimum is filtering bandwidth
Under part, initial maximum value bandwidth and initial bandwidth minimum are set as any value；
Whether third judging unit 42 judges the numerical value for the first data point that online control model exports at any time initial
Within the scope of maximum value bandwidth and initial bandwidth minimum；If first data point sends a signal to filter in the range
Wave unit, if first data point sends a signal to translation unit not in the range；
Translation unit 43, by filtering bandwidth integral translation, so that the numerical value of the first data point is in translation post filtering bandwidth pair
Within the scope of the maximum value bandwidth and bandwidth minimum answered, filter unit and the 4th setup unit are sent a signal to, the described 4th sets
Order member is updated initial maximum value bandwidth and initial bandwidth minimum according to the signal of translation unit；
Filter unit 44 receives the signal of judging unit, and the numerical value of first data point is filtered into bandwidth target value,
The bandwidth target value is any value within the scope of initial maximum value bandwidth and initial bandwidth minimum；Receive the letter of translation unit
Number, the numerical value of first data point is filtered into the bandwidth target value after translation, the bandwidth target value after the translation is in institute
It states within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum；
Second counting unit 45 counts the data point of the filtering by filter unit, next data point is made
Third judging unit is sent to for the first data point.
In one alternate embodiment, above-mentioned bandwidth cycle setting module 10 includes:
First judging unit 11 judges that model output time series whether there is cyclic fluctuation when stable state, if do not deposited
In cyclic fluctuation, the first setup unit is sent a signal to；If there is periodical cyclic fluctuation, sends a signal to second and set
Order member；
First setup unit 12, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Second setup unit 13 determines that bandwidth cycle, the bandwidth cycle are periodic wave according to the cyclic fluctuation
The data of a dynamic period of waves are counted.
In one alternate embodiment, above-mentioned filtering bandwidth obtain module 30 include fixed-bandwidth configuration part 31 or bandwidth from
Adaptation portion 32,
Wherein, the fixed-bandwidth configuration part 31 randomly selects defeated at any time not less than the online control model of bandwidth cycle
Continuous steady state data point out obtains the maximum value and minimum value of the continuous steady state data point, the maximum value and minimum value
Difference be filtering bandwidth, the filter module using the fixed-bandwidth configuration part obtain filtering bandwidth to online control model
The filtering of bandwidth is fixed in each data point exported at any time；
Wherein, the bandwidth self-adaption portion 32 includes:
Third setup unit 321 sets the queue length of filtering bandwidth queue as m, and the data that m is greater than bandwidth cycle are counted
n；
Searching unit 322 searches first data point of the model output time series in stable state；
The filtering bandwidth queue is added in first data point by construction unit 323；
Second judgment unit 324, the latter data point of first data point described in judgment models output time series
Whether it is also at stable state, when the latter data point of first data point is also at stable state, it is single to send a signal to building
The filtering bandwidth queue is also added in the latter data point by member, the construction unit；When first data point
It when the latter data point is not at stable state, sends a signal to and empties unit and searching unit, the unit that empties empties cake resistancet
Wide queue, the searching unit search first data point in stable state again；
First counting unit 325 counts the queue length of the filtering bandwidth queue of construction unit building, when described
Queue length reaches m, sends a signal to bandwidth obtaining unit；
Bandwidth obtaining unit 326, after the signal for receiving the first counting unit, filtering bandwidth team that construction unit is all built
The difference of maximum value and minimum value sends a signal to as filtering bandwidth and empties unit and searching unit in column, described to empty list
Member empties the filtering bandwidth queue that the queue length in construction unit reaches m, and it is long to search addition queue again for the searching unit
Degree reaches first data point that stable state is in the data point of the model output time series after the filtering bandwidth queue of m.
In one particular embodiment of the present invention, increase by one between Calculated Results of Temperature Field and technology establishment model
It is passivated filtering, the Calculated Results of Temperature Field (referred to as " calculated result ") needed to technology establishment is passivated filtering processing.
Calculated result includes each node temperature of slab, solid rate, solidification end (casting blank solidification end positional distance crystallizer meniscus
Distance), pressure starting position and end position etc..
The fluctuation of Calculated Results of Temperature Field within certain bandwidth, and be it is regular can be target-seeking, that is to say, that in stable state
Under fluctuation be regular fluctuation in a certain range, have periodicity, choose the calculation result data under stable situation, statistics
Maximum value Bmax and minimum value Bmin greater than data point n complete cycle, the bandwidth parameter of this calculated result as under Model Condition,
By taking the variation of the solidification end of calculated result as an example:
In step S1-S3, as shown in figure 5, dynamic draught model calculates solidifying under conditions of the parameters such as pulling rate are all constant
Gu end time series variation has periodic regularity, fluctuated within the scope of one, a variation there are 21 numbers complete cycle in Fig. 5
Strong point, i.e. n=21 are maximized and the available cake resistancet at this time of minimum value as long as being greater than at 21 points in consecutive numbers strong point number
Width, maximum value bandwidth Bmax is 14.34m at this time, bandwidth minimum Bmin is 14.2, filtering bandwidth 14.34-14.2=
0.14m.If being simultaneously the average value rule of maximum value and minimum value according to bandwidth target value Aim, no matter solidification end at this time
How end calculated result shakes, and solidification end filter value is all Aim=(14.2+14.34)/2=14.27m, is remained not
Become.
In step s 4, under steady state conditions, by taking solidification end as an example, as shown in Figure 6 a, solidification end is in filtering bandwidth
Within, as shown in Figure 6 b, solidification end filter value is always bandwidth target value Aim.Guarantee to calculate knot under steady state conditions in this way
The stabilization of fruit, and this stabilization tallies with the actual situation, and safe and complete eliminates since calculation model for temperature field processing is brought
Fluctuation noise.
In unstable state, filtering bandwidth remain unchanged (i.e. maximum value bandwidth subtract minimum value difference it is constant, passivation range
It is constant), once calculated result exceeds existing filtering bandwidth range, then filtering bandwidth is moved, if calculated result is greater than
The maximum value of filtering bandwidth, then moving integrally bandwidth to maximum value bandwidth is calculated result, as shown in fig. 7, with solidification end
For filtering, if the solidification end of this period calculating has been greater than the filtering bandwidth in preceding period, filtering bandwidth is moved integrally,
So that maximum value bandwidth is the solidification end calculated in this period, filter value takes bandwidth target value Aim.If calculated result is less than band
Wide minimum value, then moving integrally bandwidth to bandwidth minimum is calculated result, in the case of two kinds, all takes bandwidth target value
Aim is filter value.
Or in unstable state, bandwidth remain unchanged (i.e. maximum value bandwidth subtract minimum value difference it is constant, passivation range
It is constant), once calculated result has been more than existing filtering bandwidth, then filtering bandwidth is moved, is moved to bandwidth target value
For calculated result, and using calculated result as filter value, as shown in figure 8, by taking solidification end filters as an example, if this period calculates
Solidification end be greater than the bandwidth in preceding period, then bandwidth is moved integrally, so that bandwidth target value Aim is what this period calculated
Solidification end, filter value take bandwidth target value Aim.
Filtering method of the present invention both can guarantee process stabilizing under steady state conditions, while can guarantee in unstable state feelings
The instantaneity changed under condition, tallies with the actual situation.
For same variable, as soon as a fixed bandwidth is only adapted to certain codomain range, pass through online bandwidth self-adaption
The passivation filtering processing in variable total head domain may be implemented.Method particularly includes: in model on-line operation, establish Temperature calculating knot
The data queue of fruit, data queue's number is greater than data point complete cycle n under stable situation, calculates knot in Realtime Statistics queue
The maximum value Bmax and minimum value Bmin of fruit, available real-time bandwidth parameter, so as to realize the online system of bandwidth parameter
Meter, realizes online variable bandwidth function, meets the ability of online bandwidth self-adaption, the method for realizing bandwidth self-adaption includes:
Step 1: establishing output time series (such as the solid rate time series, solidification end position of online controllable simulation
Set time series), sequence length is set as m, and m is greater than data point complete cycle number (for example, having cyclically-varying rule when stable state
Data points in the period of rule) n；
Step 2: collect continuous stable state output data: in online situation, each moment compares previous moment, if be in
Then output time series are added in this moment output result by stable state；If being in unstable state (i.e. this moment and previous moment temperature
Spend parameter used in field computation model and difference occur), then output time series are emptied；
Step 3: after judging output time series sequence length for m, representing the continuous data point in stable state of collection
Number has reached m, has been greater than data point number n complete cycle, has entered step 4；
Step 4: seeking the maximum value and minimum value in output time series, the difference of maximum value and minimum value is newest filtering
Bandwidth, update bandwidth parameter are newest bandwidth parameter, for handling subsequent solid rate filtering；Output time sequence is emptied simultaneously
Rank queue.
In one particular embodiment of the present invention, filter effect of the invention is carried out using 180*1600mm slab
Verifying, wherein model calculating cycle is 3s, along throwing direction briquet with a thickness of 20mm, calculates steel grade and is selected as Q235, two cold works
Skill is Qiang Leng.
Filtering processing is passivated to the time series of solidification end, as a result as follows:
Fig. 9 is under stable state, and solidification end filters preceding and filtered coordinate diagram, it can be seen in figure 9 that the base in temperature field
Blockization processing cause under steady state conditions (parameter stabilities such as pulling rate) solidification end fluctuated in 14.2m to 14.34m range, and
And periodically it is obvious that the data point n of a complete cycle is 21, filtering bandwidth takes 0.14m, bandwidth target value Aim be bandwidth most
Being averaged for big value and minimum value, shows, holding stabilization in obtained solidification end passivation filter result such as Fig. 9.
The passivation filter result of unstable state (such as pulling rate changes) is as shown in Figure 10, and solidification end is passivated filter result
Without concussion, and normal freezing variation tendency can be reacted in time, can't bring hysteresis quality.
Figure 11~Figure 13 is the processing result on long period, from the graph, it is apparent that at through transpassivation filtering
After reason, (pulling rate is constant) is able to maintain stabilization under solidification end stable situation, and (pulling rate changes) energy in unstable state
It is truly reflected solidification end variation, variation can't be brought to lag, and the change rate of pulling rate will not influence filtering processing knot
Fruit.
Filtering processing is passivated to solid rate time series, as a result as follows:
Depressing slab center solid rate at roller is usually the major parameter for determining depressing position and drafts, slab temperature field
The different depressed position slabs center solid rate that computation model obtains is the trend of a fluctuation, and Figure 14 shows slab two
The solid rate of (can be at any two position, such as slab center and slab thickness 1/4) changes over time at different location
Coordinate diagram, if formulating soft reduction process using the solid rate in Figure 14, depressing position and drafts are clearly one and constantly become
The process of change, press control system and equipment are in the process of constantly regulate always, this is obviously unfavorable to control system and equipment.
Figure 15 is that the filtering of slab solid rate time series is preceding at one position of short time and is passivated filtered reduced coordinates
Figure, Figure 16 are that the filtering of slab solid rate time series is preceding at the one position of long-time and is passivated filtered reduced coordinates
Figure, wherein the data points n of filtering bandwidth 0.031, bandwidth cycle is 21；Figure 17 is slab solid rate at another position
Time series filtering is preceding and is passivated filtered reduced coordinates figure, wherein filtering bandwidth 0.015, the data point of bandwidth cycle
Number n is 21.From Figure 15-17, it can be seen that after transpassivation is filtered, the solid rate at two positions is under steady state conditions
(pulling rate is constant) is able to maintain stabilization, and (pulling rate changes) can truly reflect solid rate variation in unstable state, and
Variation will not be brought to lag, and the change rate of pulling rate will not influence filtering processing result.
As can be seen from Figure 13, for solidification end, in different codomain ranges, with a fixed-bandwidth, (bandwidth is
It can 0.14m) meet filtering needs.And the solid rate at two different locations can be seen that by Figure 15 and Figure 16, band
The data points n in wide period is identical, is all 21, but since solid rate codomain range is different, most suitable filtering bandwidth is different,
Simultaneously by Figure 16 also it can be concluded that, the filtering of solid rate is also shown at one position, and solid rate codomain range is different, most
Excellent filtering bandwidth is different.
In the various embodiments described above of the present invention, it is illustrated with the data points that bandwidth cycle is setting quantity, but this
Invention is not limited to this, and the bandwidth cycle can also be the time span or model output time series cyclic fluctuation of setting
A period of waves time span.
Although content disclosed above shows exemplary embodiment of the present invention, it should be noted that without departing substantially from power
Under the premise of benefit requires the range limited, it may be many modifications and modify.According to the side of inventive embodiments described herein
Function, step and/or the movement of method claim are not required to the execution of any particular order.In addition, although element of the invention can
It is unless explicitly limited individual element it is also contemplated that having multiple elements to be described or be required in the form of individual.
Claims (10)
1. a kind of filtering method for realizing online control model technology stability characterized by comprising
Bandwidth cycle is set, the bandwidth cycle is the data points for setting quantity；
The data point that acquisition online control model exports at any time；
The steady state data point that the online control model not less than bandwidth cycle exports at any time is taken, the steady state data point is obtained
The difference of maximum value and minimum value, the maximum value and minimum value is filtering bandwidth；
It is filtered using each data point of the filtering bandwidth to online control model, comprising:
Under conditions of meeting the difference of initial maximum value bandwidth and initial bandwidth minimum is filtering bandwidth, initial bandwidth is set most
Big value and initial bandwidth minimum are any value；
Judge the numerical value for the first data point that online control model exports at any time whether in initial maximum value bandwidth and initial strip
Within the scope of wide minimum value；
If first data point is filtered into bandwidth target value, institute in the range, by the numerical value of first data point
Stating bandwidth target value is any value within the scope of initial maximum value bandwidth and initial bandwidth minimum；
If first data point is not in the range, by filtering bandwidth integral translation, so that the numerical value of the first data point
Within the scope of the corresponding maximum value bandwidth of translation post filtering bandwidth and bandwidth minimum, the numerical value of first data point is filtered
For the bandwidth target value after translation, the bandwidth target value after the translation is maximum in the corresponding bandwidth of the translation post filtering bandwidth
Within the scope of value and bandwidth minimum；
It repeats the above steps, successively the data point that online control model exports at any time is filtered.
2. the filtering method according to claim 1 for realizing online control model technology stability, which is characterized in that described
Bandwidth target value is set as the average value of bandwidth minimum perhaps maximum value bandwidth or maximum value bandwidth and bandwidth minimum,
Or the golden section point of bandwidth minimum and maximum value bandwidth.
3. the filtering method according to claim 1 for realizing online control model technology stability, which is characterized in that described
Setting bandwidth cycle method include:
Judge that model output time series whether there is cyclic fluctuation when stable state；
If there is no cyclic fluctuation, bandwidth cycle is set, the bandwidth cycle is the data points for setting quantity；
If there is periodical cyclic fluctuation, determine that bandwidth cycle, the bandwidth cycle are week according to the cyclic fluctuation
The data points of one period of waves of phase property fluctuation.
4. the filtering method according to claim 1 for realizing online control model technology stability, which is characterized in that also wrap
It includes:
Parameter time series of the temperature collection field model with parameter at any time, the models for temperature field parameter include pulling rate, in
Packet temperature, crystallizer water and the temperature difference and secondary coolingwater, as stable state when the models for temperature field is used parameter constant, by institute
Stating models for temperature field uses parameter when changing as unstable state；
The model output time series of the corresponding online control model of the parameter time series at any time are acquired, it is described in line traffic control
Simulation includes one or both of dynamic secondary cooling model and dynamic draught model, and the model output includes slab difference position
Set the one or more of the solid rate at place, surface temperature, shell thickness and solidification end position.
5. the filtering method according to claim 1 for realizing online control model technology stability, which is characterized in that described
Filtering bandwidth carries out adaptive change according to the model output time series that on-time model exports at any time, comprising:
The queue length of filtering bandwidth queue is set as m, m is greater than the data points n of bandwidth cycle；
The filter is added in first data point by first data point for searching the model output time series in stable state
Wave bandwidth queue；
Whether the latter data point of first data point described in judgment models output time series is also at stable state；
When the latter data point of first data point is also at stable state, the latter data point is also added described in
Filtering bandwidth queue；
When the latter data point of first data point is not at stable state, filtering bandwidth queue is emptied, again at lookup
In first data point of stable state；
It repeats the above steps, until the queue length of filtering bandwidth queue reaches m, by maximum value and minimum in filtering bandwidth queue
The difference of value is as filtering bandwidth；
The filtering bandwidth queue that queue length reaches m is emptied, it is right back to the step of searching first data point for being in stable state
Filtering bandwidth is updated.
6. the filtering method according to claim 1 for realizing online control model technology stability, which is characterized in that described
Bandwidth cycle is the time span of the time span of setting or a period of waves of model output time series cyclic fluctuation.
7. a kind of filtering system for realizing online control model technology stability characterized by comprising
Bandwidth cycle setting module, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Acquisition module, the data point that acquisition online control model exports at any time；
Filtering bandwidth obtains module, and the steady state data point for taking the online control model not less than bandwidth cycle to export at any time obtains
The steady state data point maximum value and minimum value, the difference of the maximum value and minimum value is filtering bandwidth；
Filter module is filtered using each data point of the filtering bandwidth to online control model,
Wherein, the filter module includes:
4th setup unit, under conditions of meeting the difference of initial maximum value bandwidth and initial bandwidth minimum is filtering bandwidth,
Initial maximum value bandwidth and initial bandwidth minimum are set as any value；
Third judging unit, judge the first data point that online control model exports at any time numerical value whether initial bandwidth most
Within the scope of big value and initial bandwidth minimum；If first data point sends a signal to filter unit in the range,
If first data point sends a signal to translation unit not in the range；
Translation unit, by filtering bandwidth integral translation, so that the numerical value of the first data point is in the corresponding band of translation post filtering bandwidth
Within the scope of wide maximum value and bandwidth minimum, filter unit and the 4th setup unit, the 4th setup unit are sent a signal to
Initial maximum value bandwidth and initial bandwidth minimum are updated according to the signal of translation unit；
Filter unit receives the signal of judging unit, and the numerical value of first data point is filtered into bandwidth target value, the band
Wide target value is any value within the scope of initial maximum value bandwidth and initial bandwidth minimum；The signal of translation unit is received, it will
The numerical value of first data point is filtered into the bandwidth target value after translation, and the bandwidth target value after the translation is in the translation
Within the scope of the corresponding maximum value bandwidth of post filtering bandwidth and bandwidth minimum；
Second counting unit counts the data point of the filtering by filter unit, using next data point as first
Data point is sent to third judging unit.
8. filtering system according to claim 7, which is characterized in that the bandwidth target value is set as bandwidth minimum,
Perhaps the average value or bandwidth minimum and maximum value bandwidth of maximum value bandwidth perhaps maximum value bandwidth and bandwidth minimum
Golden section point.
9. filtering system according to claim 7, which is characterized in that the bandwidth cycle setting module includes:
First judging unit judges that model output time series whether there is cyclic fluctuation when stable state, if there is no the period
Property fluctuation, send a signal to the first setup unit；If there is periodical cyclic fluctuation, the second setting list is sent a signal to
Member；
First setup unit, sets bandwidth cycle, and the bandwidth cycle is the data points for setting quantity；
Second setup unit determines that bandwidth cycle, the bandwidth cycle are the one of cyclic fluctuation according to the cyclic fluctuation
The data of a period of waves are counted.
10. filtering system according to claim 7, which is characterized in that
It includes fixed-bandwidth configuration part or bandwidth self-adaption portion that the filtering bandwidth, which obtains module,
Wherein, the fixed-bandwidth configuration part randomly selects the company exported at any time not less than the online control model of bandwidth cycle
Continuous steady state data point, obtains the maximum value and minimum value of the continuous steady state data point, and the difference of the maximum value and minimum value is
Filtering bandwidth, the filter module using the fixed-bandwidth configuration part obtain filtering bandwidth to online control model at any time
The filtering of bandwidth is fixed in each data point of output；
Wherein, the bandwidth self-adaption portion includes:
Third setup unit sets the queue length of filtering bandwidth queue as m, and m is greater than the data points n of bandwidth cycle；
Searching unit searches first data point of the model output time series in stable state；
The filtering bandwidth queue is added in first data point by construction unit；
Whether second judgment unit, the latter data point of first data point described in judgment models output time series are also located
Construction unit, the structure are sent a signal to when the latter data point of first data point is also at stable state in stable state
It builds unit and the filtering bandwidth queue is also added in the latter data point；When the latter data of first data point
When point is not at stable state, sends a signal to and empty unit and searching unit, the unit that empties empties filtering bandwidth queue, described
Searching unit searches first data point in stable state again；
First counting unit counts the queue length of the filtering bandwidth queue of construction unit building, when the queue is long
Degree reaches m, sends a signal to bandwidth obtaining unit；
Bandwidth obtaining unit, after the signal for receiving the first counting unit, in filtering bandwidth queue that construction unit is all built most
The difference of big value and minimum value sends a signal to as filtering bandwidth and empties unit and searching unit, the unit that empties empties
Queue length in construction unit reaches the filtering bandwidth queue of m, and the searching unit is searched addition queue length again and reached
First data point of stable state is in the data point of model output time series after the filtering bandwidth queue of m.
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