CN106814706B - Packaging, filling and batching control process filtering mode optimum setting method - Google Patents
Packaging, filling and batching control process filtering mode optimum setting method Download PDFInfo
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- CN106814706B CN106814706B CN201510848177.1A CN201510848177A CN106814706B CN 106814706 B CN106814706 B CN 106814706B CN 201510848177 A CN201510848177 A CN 201510848177A CN 106814706 B CN106814706 B CN 106814706B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The present invention provides a kind of packagings, filling and batching control process filtering mode optimum setting method, it include: a. that repeatedly packaging, filling and batching control process are implemented in repetition, while recording the initial weighted data and its state of a control data in control process each time；B. each initial weighted data are filtered respectively with a variety of filtering modes, to obtain the initial weighted data through filtering；C. the stable state data for meeting accuracy requirement are obtained from the initial weighted data, and find out the data at charging shutdown moment from the initial weighted data through filtering according to the state of a control data；D. the very poor and standard deviation of the data after calculating the data that the stable state data are subtracted to the charging shutdown moment；E. the optimal filter mode in a variety of filtering modes is determined according to the very poor and standard deviation.The time resource collision problem between control flow and filtering will not only be solved by being tested using method of the invention and finding optimal filtering mode, but also solve the matching problem between disturbed condition and filtering.
Description
Technical field
The present invention relates to one kind packaging, filling and batching control during filtering mode optimum setting method.
Background technique
There are following problems in packaging, filling and ingredient application process:
1, since the adjustment of the filtering mode of filter (i.e. filtering parameter/method) needs more professional knowledge, user
Setting and adjustment filtering parameter/method are more difficult.
2, due to there is the relationship that influences each other between filtering mode and flow package parameter, need to put into more manpower object
Filtering parameter could be arranged and be adjusted to optimal by power (little by little attempt and test repeatedly).
3, there are the low frequencies such as weighing hopper or packaging bag (no bucket equipment) shaking are dry during packaging, filling and ingredient
It disturbs, the specifying information of more difficult these interference of test of user eliminates these by existing filtering system to cause user more difficult
The influence of interference.
4, some type of feeder (spiral or oscillating feeder etc.) is there are the charging non-uniform phenomenon of low frequency, these into
Expecting that non-uniform phenomenon has control effect influences, and the more difficult control for knowing above-mentioned phenomenon of user influences situation, so that more difficult disappear
Except the control of the phenomenon influences.
These above-mentioned situations had not only caused the more difficult setting of user and adjustment filtering mode, but also caused user setting and adjustment filtering
The process of mode spends more time and energy, also causes user that can not targetedly adjust filtering mode and is effectively disappeared
Except the control of interference/phenomenon influences, so that packaging, filling and feed proportioning system be caused to ask using difficult or equipment service performance is bad
Topic.
Summary of the invention
For the above-mentioned deficiency of the prior art, the present invention provides a kind of realization test find both met packaging, it is filling and
Batching control process requirements, and the filtering mode (i.e. filtering parameter/method) of the optimum control performance of match control disturbed condition
Filtering mode optimum setting method.
Specifically, the present invention provides a kind of packaging, filling and batching control process filtering mode optimum setting method,
Include:
A. it repeats to implement repeatedly packaging, filling and batching control process, while recording original in control process each time
Weighing data (source [n]) and its state of a control data (state [n])；
B. each initial weighted data are filtered respectively with a variety of filtering modes, it is original through what is filtered to obtain
Weighing data (source [n] .filter [m])；
C. the stable state data (source [n] .stable) for meeting accuracy requirement are obtained from the initial weighted data, and
And data (the source [n] at charging shutdown moment is found out from the initial weighted data through filtering according to the state of a control data
.filtercontrol[m])；
D. the very poor and standard deviation of the data after calculating the data that the stable state data are subtracted to the charging shutdown moment；
E. the optimal filter mode in a variety of filtering modes is determined according to the very poor and standard deviation.
Preferably, the state of a control data include at least charging shutdown in above-mentioned filtering mode optimum setting method
Moment.
Preferably, further being wrapped between step c and step d in above-mentioned filtering mode optimum setting method
Include following steps:
It is reverse from the charging turns off the moment to find the phase for meeting shutdown control in the initial weighted data through filtering
Adjacent data point, and determine the consecutive number strong point and turn off time span (source [n] .controlrange between the moment
[m])；
The safe slack time (R) of control is determined according to the minimum value in the time span.
Preferably, this is very poor by subtracting the stable state data in above-mentioned filtering mode optimum setting method
The maximum value in data after the data at charging shutdown moment subtracts minimum value and obtains.
Preferably, step e further comprises in above-mentioned filtering mode optimum setting method:
The minimum value of very poor/standard deviation is found out within the control safe slack time, and determination is corresponding with the minimum value
Filtering mode be optimal filter mode.
Preferably, before step a, further comprising in above-mentioned filtering mode optimum setting method: setting control
Stage processed, the control stage include fast charging, slow-motion material or speed feed combinations.
Preferably, after step e, further comprising in above-mentioned filtering mode optimum setting method:
The data at the charging shutdown moment of the optimal filter mode are updated to packaging, filling and ingredient control parameter.
Preferably, after step e, further comprising in above-mentioned filtering mode optimum setting method:
The packaging is determined according to the time span of the optimal filter mode, filling and batching control process when forbidding comparing
Between.
The present invention can find and pack in packaging, in filling and blending process using this method, filling and batching control
The optimal filter mode (filtering parameter/method) that process and disturbed condition are adapted, is coordinated by using optimal filtering mode
Matching relationship between control process and filter, to realize raising packaging, filling and batching control performance indicator purpose.
Advantages of the present invention at least that:
1, the relation test controlling between control result caused by time data and the control is controlled by test analysis
Energy.
2, whole filtering parameters and method test are once completed by one group of test.
3, data are limited by the time resource that the analysis to test data obtains process.
4, optimum filtering parameter/method is obtained by the analysis to test data.
5, by time resource limit data modify automatically control flow forbid compare time parameter.
6, the inlet amount and advance parameters of control flow are modified automatically by optimal filter parameter/method data.
It should be appreciated that the general description and the following detailed description more than present invention be all it is exemplary and illustrative,
And it is intended that the present invention as claimed in claim provides further explanation.
Detailed description of the invention
It is to provide further understanding of the invention including attached drawing, they are included and constitute part of this application,
Attached drawing shows the embodiment of the present invention, and plays the role of explaining the principle of the invention together with this specification.In attached drawing:
Fig. 1 shows the flow chart of the basic step of filtering mode optimum setting method according to the present invention.
Fig. 2 shows the contrast relationships of fast charging and slow-motion material control stage.
Fig. 3 shows the timing in slow-motion material stage control stage.
Fig. 4 shows the diagram of one embodiment of initial weighted data.
Fig. 5 shows consecutive number strong point and turns off the acquisition methods of the time span between the moment.
Fig. 6 shows the performance of the control safe slack time under different filtering modes.
Fig. 7 shows an example of control precision distribution situation.
Specific embodiment
In charging control application, the packaging of application, filling and ingredients by weight and deadline user demand index pass through
Equipment concrete condition determines the time resource that can be spent in control process each stage.
In packaging, filling and ingredient application process, the control process of charging stage is to packaging, filling and ingredient application
Control performance influence it is most heavy, control performance promoted demand it is most significant.
The control process of charging stage generally comprises slow three speed charging, the charging of speed double speed or single speed charging in fast and controlled
Journey (in order to simplify the complexity of narration, is illustrated so that representative double speed feeds control process as an example) below.
In charging control process, the state for feeding each control stage of control process changes, and state is converted
Journey more acutely (changes in flow rate and interference are violent) can not carry out the control of effective (meeting control performance demand), and filtering can add
The release rate that fast state conversion process influences, enables control system is more efficient to control effectively.It was controlled in charging
There is also the factor (charging non-uniform phenomenon etc.) for influencing control performance, the control performances of these factors inside each stage of journey
Influence can be eliminated by the method for filtering.
The time resource limitation filtering in each stage for the charging control process that application demand determines inhibits interference/control shape
The time resource that state transformer effect can be spent number, filtering can only this time resource limit range in work.Filtering
For the noise rejection effect of device to spend time resource as cost, the more noise rejection effects of the time resource that can be spent are better
(control data precision is higher), this has resulted in rushing between the time resource that control limits and the time resource of filtering needs
It is prominent.The time resource that filtering is spent is more than that limit amount will lead to control process and be influenced heavier to cause controlling by state conversion process
Can be unstable, filter the time resource of cost less than limited amount will lead to interference effect cannot effectively eliminate cause control performance compared with
Difference, this is caused, and there are optimal filtering modes, and appropriate time resource to be spent to obtain optimal control performance.Appropriate filtering side
Formula can effectively coordinate the relationship between process and filter, and optimal control performance is obtained in the control process of charging.
Control performance difference by testing different filtering modes can search out optimal filtering mode.
In each stage of charging control process, control performance (control precision and control stability) can be controlled by analysis
Data (comparator control time data) processed and the corresponding control result generated obtain, and control performance, which can be surveyed, leads to that survey can be passed through
Examination searches out optimal filtering parameter/method.
The embodiment of the present invention is described with detailed reference to attached drawing now.
Referring initially to Fig. 1, the figure shows the basic steps of filtering mode optimum setting method 100 according to the present invention
Flow chart.The packaging, filling and batching control process filtering mode optimum setting method 100 specifically includes the following steps:
Step 101: repeating to implement repeatedly packaging, filling and batching control process, while recording in control process each time
Initial weighted data (source [n]) and its state of a control data (state [n])；
Step 102: each initial weighted data being filtered respectively with a variety of filtering modes, to obtain through filtering
Initial weighted data (source [n] .filter [m])；
Step 103: the stable state data (source [n] for meeting accuracy requirement is obtained from the initial weighted data
.stable the data at charging shutdown moment), and according to the state of a control data are found out from the initial weighted data through filtering
(source[n].filtercontrol[m])；
Step 104: data very poor after calculating the data that the stable state data are subtracted to the charging shutdown moment and
Standard deviation；
Step 105: the optimal filter mode in a variety of filtering modes is determined according to the very poor and standard deviation.
Various preferred embodiments of the invention are discussed below in conjunction with such as Fig. 2-example shown in Fig. 7.But this field
It should be understood to the one skilled in the art that example discussed further below does not constitute any limitation of the invention.For example, various preferred realities
Applying example can selectively combine, omits or convert in above steps on the basis of without departing substantially from the principle of the present invention time
Sequence.
It is possible, firstly, to first set the control stage, then start entire test process.The control stage may include F.F.
Material, slow-motion material or speed feed combinations.As long as testing slow-motion for example, testing the fast charging stage carries out fast charging control process
The material stage needs to complete the control flow part of fast charging stage to introduce the front control flow stage to the testing process stage
Influence, as shown in Figures 2 and 3.In addition, test feed needs that one stable time is waited to arrive to ensure to test after controlling
Stable control result data.
Then, it repeats to implement repeatedly (such as repeating n times) packaging, filling and batching control process, while recording each time
Initial weighted data source [n] and its state of a control data state [n] in control process, step 101.For example, Fig. 4 shows
The diagram of one embodiment of initial weighted data is gone out.State of a control data for example refer to when practical weighing data reaches default
The caused control data variation (such as high level becomes low level) of the charging shutdown order that system issues when value, and the control shape
State data preferably include the charging shutdown moment.
Each initial weighted data are filtered respectively with a variety of filtering modes (such as m is filtering parameter/method number)
Wave processing, to obtain initial weighted data source [n] .filter [m] through filtering, step 102.A variety of filtering mode examples
It is such as realized respectively by different filters, such as different filters is related to different filtering parameter and/or filtering method.
Then, stable state data source [n] .stable for meeting accuracy requirement is obtained from the initial weighted data,
And the data source at charging shutdown moment is found out from the initial weighted data through filtering according to the state of a control data
[n] .filtercontrol [m], step 103.
For example, obtaining the step of meeting stable state data source [n] .stable of accuracy requirement for example including basis
(weighing motion judges that algorithm acquisition meets judgement setting accuracy requirement and stablizes number to the stable state data of state [n] data
According to) obtain the stable state data for meeting accuracy requirement.Meanwhile the moment is turned off according to the charging of state [n] data, from
Each filtering parameter/method data that the charging shutdown moment is found in source [n] .filter [m] data, if its data is
source[n].filtercontrol[m]。
Preferably, can be turned off in initial weighted data source [n] .filter [m] through filtering from the charging
It is reverse from moment to find the consecutive number strong point for meeting shutdown control, i.e., it is unsatisfactory for just abandoning the searching of follow-up data at the beginning, and
It determines the consecutive number strong point and turns off time span source [n] .controlrange [m] between the moment, as shown in Figure 5.
Then, control can also be determined according to the minimum value in time span source [n] .controlrange [m]
Make safe slack time (R), by reserve certain safety time method determination can security control filtering parameter/method model
It encloses.For example, Fig. 6 shows the performance of the control safe slack time under different filtering modes, wherein the control of filtering mode 1 is pacified
Full-time maximum, while filtering mode 5 is relatively least safe.
Calculate the data source that the stable state data source [n] .stable is subtracted to the charging shutdown moment
[n] .filtercontrol [m] can be analyzed with obtaining source [n] .controlresult [m] data with uniform data in this way
Basis.Then, the very poor and standard deviation of source [n] .controlresult [m] data, step 104 are calculated.Wherein, the pole
The maximum value in data after data of the difference by the way that the stable state data to be subtracted to the charging shutdown moment subtracts minimum value and obtains
It arrives, i.e., very poor=maximum value-minimum value.
Finally, determining the optimal filter mode in a variety of filtering modes, step 105 according to the very poor and standard deviation.Compared with
Goodly, the minimum value of very poor/standard deviation can be found out in the safe slack time R of the control, and determination is opposite with the minimum value
The filtering mode answered is optimal filter mode.
Fig. 7 shows an example of control precision distribution situation.In the example in figure 7, the noise suppressed of filtering mode 2
Incessantly, the control of filtering mode 5 is unreliable, and filtering mode 4 is only optimal filtering mode.
In addition, after optimal filtering mode has been determined, it can also be by the charging shutdown moment of the optimal filter mode
Data are updated to packaging, filling and ingredient control parameter.For example, can be by optimal filter parameter/method X source [n]
.filtercontrol the mean value of [X] data determines that corresponding weight off value, the value are parameter needed for Row control.In addition,
Can also be determined according to time span source [n] .controlrange [X] of the optimal filter mode packaging, it is filling and
The forbidding of batching control process compares the time.
To sum up, control flow and filtering will both be solved by being tested using method of the invention and finding optimal filtering mode
Between time resource collision problem, and solve disturbed condition and filtering between matching problem, it is both convenient for users
System performance is improved again, it is significant to the user experience for improving product and the service performance for improving system.
Those skilled in the art can be obvious, the above exemplary embodiments of the invention can be carry out various modifications and modification and
Without departing from the spirit and scope of the present invention.Accordingly, it is intended to which present invention covering is made to fall in the appended claims and its equivalence techniques
Modifications of the present invention and modification in aspects.
Claims (8)
1. a kind of packaging, filling and batching control process filtering mode optimum setting method characterized by comprising
A. it repeats to implement repeatedly packaging, filling and batching control process, while recording the initial weighted in control process each time
Data and its state of a control data；
B. each initial weighted data are filtered respectively with a variety of filtering modes, to obtain the initial weighted through filtering
Data；
C. the stable state data for meeting accuracy requirement are obtained from the initial weighted data, and according to the state of a control number
According to the data for finding out the charging shutdown moment from the initial weighted data through filtering；
D. the very poor and standard deviation of the data after calculating the data that the stable state data are subtracted to the charging shutdown moment；
E. the optimal filter mode in a variety of filtering modes is determined according to described very poor and standard deviation.
2. filtering mode optimum setting method as described in claim 1, which is characterized in that the state of a control data are at least wrapped
Include the charging shutdown moment.
3. filtering mode optimum setting method as described in claim 1, which is characterized in that in the step c and the step d
Between further include steps of
It is reverse from the charging shutdown moment to find the phase for meeting shutdown control in the initial weighted data through filtering
Adjacent data point, and determine the consecutive number strong point and turn off the time span between the moment；
The control safe slack time is determined according to the minimum value in the time span.
4. filtering mode optimum setting method as claimed in claim 3, which is characterized in that described very poor by by the stabilization
The maximum value that status data subtracts in the data after the data at the charging shutdown moment subtracts minimum value and obtains.
5. filtering mode optimum setting method as claimed in claim 4, which is characterized in that the step e further comprises:
The minimum value of very poor/standard deviation is found out within the control safe slack time, and determination is corresponding with the minimum value
Filtering mode is optimal filter mode.
6. filtering mode optimum setting method as described in claim 1, which is characterized in that before the step a, further
It include: the setting control stage, the control stage includes fast charging, slow-motion material or speed feed combinations.
7. filtering mode optimum setting method as described in claim 1, which is characterized in that after step e, further wrap
It includes:
The data at the charging shutdown moment of the optimal filter mode are updated to packaging, filling and ingredient control parameter.
8. filtering mode optimum setting method as described in claim 1, which is characterized in that after step e, further wrap
It includes:
The packaging, filling and batching control process when forbidding comparing is determined according to the time span of the optimal filter mode
Between.
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| CN107453944B (en) * | 2017-07-07 | 2021-04-02 | 台州市吉吉知识产权运营有限公司 | Method and system for determining optimal test connection number of network throughput test |
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| EP2570772A1 (en) * | 2011-09-16 | 2013-03-20 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for localisation and mapping of pedestrians or robots using wireless access points |
| CN202305002U (en) * | 2011-09-16 | 2012-07-04 | 上海驰衡电子科技有限公司 | Multi-point wireless weighing display |
| CN204759175U (en) * | 2015-05-18 | 2015-11-11 | 梅特勒-托利多(常州)测量技术有限公司 | A control system for packing filling or batching |
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