CN108776871A - Define throwing, redrying production process data type method and processing system - Google Patents
Define throwing, redrying production process data type method and processing system Download PDFInfo
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- FGRBYDKOBBBPOI-UHFFFAOYSA-N 10,10-dioxo-2-[4-(N-phenylanilino)phenyl]thioxanthen-9-one Chemical compound O=C1c2ccccc2S(=O)(=O)c2ccc(cc12)-c1ccc(cc1)N(c1ccccc1)c1ccccc1 FGRBYDKOBBBPOI-UHFFFAOYSA-N 0.000 description 1
- TVEXGJYMHHTVKP-UHFFFAOYSA-N 6-oxabicyclo[3.2.1]oct-3-en-7-one Chemical compound C1C2C(=O)OC1C=CC2 TVEXGJYMHHTVKP-UHFFFAOYSA-N 0.000 description 1
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Abstract
The present invention disclose it is a kind of define throwing, redrying production process data type method and its processing system, redefine process data type, and for statistical analysis using new data type.For in current tobacco for throwing, redrying production process data be divided into material head class, process class, material tail class data existing for not perfect problem, completely new process data sorting technique is used herein, production process data is divided into invalid data, valid data, valid data are sub-divided into precise information and biased data.Invalid data is the data that non-practical production status generates or the data because of measurement system error generation；Biased data is data of the valid data in addition to precise information part, and the precise information is to limit the data in range in precise information；It can be for statistical analysis to production overall process data using such definition data method and system.
Description
Technical field
The invention belongs to tobacco leaf productions to control analysis technical field, and in particular to a kind of definition throwing, redrying production process
The method and processing system of data type.
Background technology
At present in country's tobacco, throwing, redrying process statistics analysis are based on material head class, process class, material tail class
Data dividing mode.Such dividing mode is simply conducive to programmed logic realization, but exists in process class data and shut down fracture
Etc. non-practical production status data, the statistical analysis of quality to production process is influenced.And the statistical indicators such as CPK, it need to be according to production
Steady-state process data calculate.Material head class, the process data division methods of process class, material tail class of tobacco business at this stage, it is difficult to
Unstable state data in process class are cleaned.
Invention content
It is above one or more to solve the problems, such as, provide it is a kind of define throwing, redrying production process data type side
Method and processing system.
Technical scheme of the present invention on the one hand for provide it is a kind of define throwing, redrying production process data type method,
It includes：
Step 1：In the inlet of material or by locating arrange parameter measurement point, acquisition includes the parameter measurement point in real time
Creation data including material instantaneous delivery data is sent to data processing unit processing；
Step 2：Data processing unit includes parameter setting module, data categorization module, the parameter setting module connection
Data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are again
It is divided into precise information and biased data；The valid data are all data of the production process data in addition to invalid data；Institute
State the data that invalid data generates for the data of non-practical production status generation or because of measurement system error；The biased data is
Data of the valid data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to effective
Data limit parameter, precise information limit parameter executes and carries out parameter reception, modification, transmission, storage, and the valid data limit parameter,
It is the ratio of pre-defined material instantaneous delivery, is then valid data more than ratio, is then invalid data under ratio；Institute
State precise information limit parameter, for the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, ratio with
Upper is precise information, is biased data below ratio；
Step 3：Invalid data, biased data are cleaned respectively.
Preferably, further comprising the steps of：
Step 4：According to the difference of data type, using different statistical analysis techniques；CPK Measure of Process Capability and/or
The analysis of PPK Process Performance In- dex and/or qualification rate is analyzed based on precise information.
Preferably, in the step 1, including batch division module, it is configured to the material of setting one-time continuous
State is a batch of a division data type.
Preferably, in the step 2, including production process real-time monitoring module, process status early warning and alarm module,
Material state discriminating module, the material state discriminating module are separately connected the production process real-time monitoring module, the mistake
Journey status early warning and alarm module；The material state discriminating module, is configured to according to material cumulative amount and process inventory
Ratio whether fall into the empirical value section of setting, and distinguished in real time whether in process fracture or material tail state, and exported
Judging result.
Preferably, including fracture analysis module, it is configured to carry out secondary analysis to the data after step 2, analysis is set
Material instantaneous delivery variation in fixing time judges to obtain following two states and exports result according to parameter preset：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow
In the first parameter interval range, first parameter section is preset based on experience value for variation；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium without material, instantaneous
Changes in flow rate in the second parameter interval range, preset based on experience value by second parameter section.
Preferably, in step 1, entrance material instantaneous delivery is acquired in the inlet of the production process of process to be analyzed；
In step 2,3, it is based respectively on the entrance material instantaneous delivery and data is divided and cleaned.
Preferably, in step 2, including non-material instantaneous delivery class parametric procedure data type division module, basis
Two conditions of data type and preset standard value of associated material instantaneous delivery class parameter join non-material instantaneous delivery class
Number process data is divided.
Preferably, in step 1, arrange parameter measurement point acquires non-material instantaneous delivery class parameter；After step 3,
Data analysis is carried out according to following formula, and obtains corresponding data parameter and exports use for further analysis：
The production process of non-material instantaneous delivery class parameter is：Parameter measurement point and reality are begun to pass through mass flow is practical
Leave the process of parameter measurement point in border；
The production process time of non-material instantaneous delivery class parameter is：The material instantaneous delivery valid data time+T is delayed；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches valid data for the first time
Time+T delay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches for the first time in material tail portion
The time+T of non-effective data is delayed；
TDelay=M/V；
TDelay：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
Preferably, in step 4, including data analysis unit, the data analysis unit include biasing degree computing module,
Accuracy computing module starts waste rate computing module, terminates waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVEssenceCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates to batch last time before terminating from batch and leaves in precise information time interval
Material cumulative amount；
TE=instantaneous mass flow from batch terminate to batch terminate before moisture content of outlet last time leave precise information when
Between；
SE=terminate waste radix.
The another aspect of technical scheme of the present invention be provide it is a kind of define throwing, redrying production process data type place
Reason system comprising：
Data acquisition unit, is configured in the inlet of material or by locating arrange parameter measurement point, the parameter is surveyed
Amount point acquires the creation data including material instantaneous delivery data in real time, is sent to data processing unit processing；
Data processing unit, the data processing unit include parameter setting module, data categorization module, and the parameter is set
Cover half block connects data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are again
It is divided into precise information and biased data；The valid data are all data of the production process data in addition to invalid data；Institute
State the data that invalid data generates for the data of non-practical production status generation or because of measurement system error；The biased data is
Data of the valid data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to effective
Data limit parameter, precise information limit parameter executes and carries out parameter reception, modification, transmission, storage, and the valid data limit parameter,
It is the ratio of pre-defined material instantaneous delivery, is then valid data more than ratio, is then invalid data under ratio；Institute
State precise information limit parameter, for the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, ratio with
Upper is precise information, is biased data below ratio；
Data cleansing module：Invalid data, biased data are cleaned respectively.
Preferably, in the data acquisition unit, including batch division module, it is configured to the object of setting one-time continuous
Expect the batch that state is a division data type that feeds intake.
Preferably, in the data processing unit, including production process real-time monitoring module, process status early warning and report
Alert module, material state discriminating module, the material state discriminating module be separately connected the production process real-time monitoring module,
The process status early warning and alarm module；The material state discriminating module, is configured to according to material cumulative amount and process
Whether the ratio of inventory falls into the empirical value section of setting, and distinguishes whether be in process fracture or material tail state in real time,
And export judging result.
Preferably, including fracture analysis module, it is configured to carry out the data after the data processing unit secondary
Analysis analyzes the variation of the material instantaneous delivery in setting time and judges to obtain following two states according to parameter preset and export knot
Fruit：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow
In the first parameter interval range, first parameter section is preset based on experience value for variation；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium without material, instantaneous
Changes in flow rate in the second parameter interval range, preset based on experience value by second parameter section.
Preferably, in data acquisition unit, entrance material wink is acquired in the inlet of the production process of process to be analyzed
Shi Liuliang；In data processing unit, data cleansing module, it is based respectively on the entrance material instantaneous delivery and data is drawn
Divide and cleans.
Preferably, in data processing unit, including non-material instantaneous delivery class parametric procedure data type division module,
It instantaneously flows non-material according to two conditions of data type and preset standard value of associated material instantaneous delivery class parameter
Amount class parametric procedure data are divided.
Preferably, in data acquisition unit, arrange parameter measurement point acquires non-material instantaneous delivery class parameter；Data
The data transmission of cleaning module enters data analysis unit, and the data analysis unit carries out data analysis according to following formula,
And it obtains corresponding data parameter and exports use for further analysis：
The production process of non-material instantaneous delivery class parameter is：Parameter measurement point and reality are begun to pass through mass flow is practical
Leave the process of parameter measurement point in border；
The production process time of non-material instantaneous delivery class parameter is：The material instantaneous delivery valid data time+T is delayed；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches valid data for the first time
Time+T delay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches for the first time in material tail portion
Time+the T of non-effective dataE；
TE=M/V；
TE：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
Preferably, including data analysis unit, the data analysis unit include biasing degree computing module, accuracy calculating
Module starts waste rate computing module, terminates waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVEssenceCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates to batch last time before terminating from batch and leaves in precise information time interval
Material cumulative amount；
TE=instantaneous mass flow from batch terminate to batch terminate before moisture content of outlet last time leave precise information when
Between；
SE=terminate waste radix.
Preferably, data analysis unit includes grouping Processing data analysis module, is configured in a lot data
Multiple production processes including grouping Processing, i.e. a batch include multiple process modules, the grouping Processing data analysis
Module, feeding mode of each module material when module switches are divided into following two categories；The first kind, when module switches, feeding mode
It feeds intake to be discontinuous；The first kind, when module switches, feeding mode is continuous dosing, for the grouping Processing carried out by the first kind,
When module switches, the fluctuation that parametric procedure data generate terminates fluctuation by batch or batch starts undulating manner and carries out at analysis
Reason；For the grouping Processing carried out by the second class, when module switches, the fluctuation that parametric procedure data generate is by process variation
Reason.
In the present invention, the data parameters being related to include：Valid data, invalid data, biased data, precise information,
Process data type is redefined, and for statistical analysis using new data type.
Valid data：All data of the production process data in addition to invalid data；
Invalid data：Data that non-practical production status generates or significantly because of data that measurement system error generates；
Biased data：Data of the valid data in addition to precise information part；
Precise information：Data in precise information limit range；
Be delayed (TDelay)：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point
Calculation formula is TDelay=M/V,
M=material transmission distances (m)；
V=transmits medium velocity (m/s)；
Biasing degree CVPartially, accuracy CVEssence：
Biasing degree calculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
Accuracy calculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
Material fracture is held, it is non-to hold material fracture
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium.
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium without material
Start waste rate, terminate waste rate：
Start waste rate：PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TB:Instantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data
SB:Start to waste radix.
Terminate waste rate：PE=ME×TE/SE
ME=instantaneous mass flow terminates to batch last time before terminating from batch and leaves in precise information time interval
Material cumulative amount；
TE=instantaneous mass flow from batch terminate to batch terminate before moisture content of outlet last time leave precise information when
Between；
SE=terminate waste radix；
Valid data limit, precise information limit；
Valid data limit：Material by certain parameter measurement point, supplemental characteristic except because measuring instrument extremely in addition to, actually fluctuate
Zone of reasonableness value.
Precise information limits：It should be theoretically arranged according to 3 σ fluctuation ranges of production steady-state process, but according to tobacco business
Actual conditions consider quality cost and manufacturing technique requirent, carry out relaxing processing to precise information limit, by parameters
Process control needs franchise is set.
Precise time, offset time, effective time, precise time ratio, offset time ratio
Precise time：Production time summation in precise information section；
Offset time：Production time summation in biased data section；
Effective time：Production time summation in the data interval of valid data；
Precise time ratio=precise time/effective time
Offset time ratio=offset time/effective time
Description of the drawings
The implementation structural schematic diagram that the data acquisition of Fig. 1 one embodiment of the present of invention divides；
The time series data type map of Fig. 2 one embodiment of the present of invention；
The data type boundary data type figure of Fig. 3 one embodiment of the present of invention；
The production process data of Fig. 4 one embodiment of the present of invention divides logic and realizes surface chart；
The process data classification schematic diagram of Fig. 5 one embodiment of the present of invention；
The mass flow class production process data of Fig. 6 one embodiment of the present of invention divides schematic diagram；
The non-material instantaneous delivery class production process data of Fig. 7 one embodiment of the present of invention divides schematic diagram；
The grouping Processing production process data of Fig. 8 one embodiment of the present of invention divides schematic diagram；
The grouping Processing production process data of Fig. 9 one embodiment of the present of invention divides schematic diagram；
The continuous production process data of Figure 10 one embodiment of the present of invention divide schematic diagram；
The structural schematic diagram of Figure 11 one embodiment of the present of invention.
Specific implementation mode
The present invention is further described in conjunction with specific embodiment and Figure of description.
Embodiment 1：
A method of defining throwing, redrying production process data type comprising：
Step 1：In the inlet of material or by locating arrange parameter measurement point, acquisition includes the parameter measurement point in real time
Creation data including material instantaneous delivery data is sent to data processing unit processing；
Step 2：Data processing unit includes parameter setting module, data categorization module, the parameter setting module connection
Data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are again
It is divided into precise information and biased data；The valid data are all data of the production process data in addition to invalid data；Institute
State the data that invalid data generates for the data of non-practical production status generation or because of measurement system error；The biased data is
Data of the valid data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to effective
Data limit parameter, precise information limit parameter executes and carries out parameter reception, modification, transmission, storage, and the valid data limit parameter,
It is the ratio of pre-defined material instantaneous delivery, is then valid data more than ratio, is then invalid data under ratio；Institute
State precise information limit parameter, for the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, ratio with
Upper is precise information, is biased data below ratio；
Step 3：Invalid data, biased data are cleaned respectively.
In a specific embodiment, mass flow class parameter is acquired and is handled：
The production process of mass flow class parameter is to terminate to batch since batch.
Mass flow class data distinguish data according to the definition that process data is classified.
If production process need to monitor in real time and need to carry out early warning and alarm to process status, need to distinguish process fracture in real time
With material tail state.
Differentiation mode is whether material cumulative amount and the ratio of process inventory fall into empirical value section.
Such as：To Mr. Yu's process, material cumulative amount is more than 0.95 i.e. into pan feeding tail portion shape with the ratio of process inventory
State.
After statistical analysis is produced with batch, subject to the process data type that judges again.
Non- material instantaneous delivery class parameter
The production process of non-material instantaneous delivery class parameter is：Parameter measurement point and reality are begun to pass through mass flow is practical
Leave the process of parameter measurement point in border.
The production process time of non-material instantaneous delivery class parameter is：The material instantaneous delivery valid data time+T is delayed
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches valid data for the first time
Time+T delay
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches for the first time in material tail portion
The time+T of non-effective data is delayed
If process needs to monitor in real time, processing mode is identical as mass flow class parameter mode.
Utilize material cumulative amount and the ratio in judgement material tail state with process inventory.
After statistical analysis is produced with batch, subject to the process data type that judges again.
Grouping Processing processing
Grouping Processing process is divided into following two categories by feeding mode of each module material when module switches：
1. module switches, feeding mode is discontinuous feeds intake
2. module switches, feeding mode is continuous dosing
For the grouping Processing carried out by 1, when module switches, the fluctuation that parametric procedure data generate is terminated to fluctuate by batch
Or batch starts undulating manner processing.
For the grouping Processing carried out by 2, when module switches, the fluctuation that parametric procedure data generate is by process variation
Reason.
The processing of batch continuous production
In batch continuous production process, logic batch is had according to the batch division actually to feed intake, process data divides and phase
Statistical indicator processing is closed, is divided and is counted by the batch that actually feeds intake.
Process data statistical analysis
After statistical analysis is produced with batch, subject to the process data type that judges again.
The indexs such as CPK, PPK, qualification rate
CPK, PPK, qualification rate etc. are calculated based on accurate class data.
Other statistical indicators (see invention content), are counted by below table mode.Other data analyses are graphically also based on
This table.
Method applicating example
With Ordering and casing process, class of traffic parameter-entrance material instantaneous delivery, non-class of traffic parameter-entrance material is aqueous
The definition of this process data and processing method are briefly described for rate.
The classification of the data of initial data and initial data, data category see the table below.
Table 1：Initial data classification chart
In a specific embodiment, it can instantaneously be flowed as 10%, then material by setting such as valid data limit parameter
Amount may be considered invalid data between 0-10%, and similarly precise information limit parameter can set a preset value, to obtain
Precise information is obtained, when this set method can be broken away from the prior art using material head, material mantissa according to being cleaned, for fracture
The case where being counted with the unfavorable cleaning of data when error.
One implementation method example realized on an electronic device：
The method that data divide realizes that data are adopted in data collection layer by collecting devices such as computer hardwares and sensor
Collection, the process data of real-time data base, which is written, can correspond to corresponding data label, the mark and statistics divided as data type
The data source foundation of index of correlation.
As shown in Fig. 1, Fig. 6：Process data is divided in data collection layer and realizes that logic has fully considered mistake in boundary layer
The flexibility and expansion that journey data partition method is realized, accomplish can one-parameter carry out process data division, and simultaneously can be to list
The index of correlation that the process data of a parameter divides flexibly is set, i.e., can accomplish most granule to the division of process data in boundary layer
The modification of degree and certainly setting.
Table 2：The procedure quality statistics output data list handled using the present invention
Embodiment 2：
Step 1：In the inlet of material or by locating arrange parameter measurement point, acquisition includes the parameter measurement point in real time
Creation data including material instantaneous delivery data is sent to data processing unit processing；
Step 2：Data processing unit includes parameter setting module, data categorization module, the parameter setting module connection
Data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are again
It is divided into precise information and biased data；The valid data are all data of the production process data in addition to invalid data；Institute
State the data that invalid data generates for the data of non-practical production status generation or because of measurement system error；The biased data is
Data of the valid data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to effective
Data limit parameter, precise information limit parameter executes and carries out parameter reception, modification, transmission, storage, and the valid data limit parameter,
It is the ratio of pre-defined material instantaneous delivery, is then valid data more than ratio, is then invalid data under ratio；Institute
State precise information limit parameter, for the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, ratio with
Upper is precise information, is biased data below ratio；
Step 3：Invalid data, biased data are cleaned respectively.
Step 4：According to the difference of data type, using different statistical analysis techniques；CPK Measure of Process Capability and/or
The analysis of PPK Process Performance In- dex and/or qualification rate is analyzed based on precise information.
Embodiment 3：
Unlike above example, in the step 1, including batch division module, it is primary to be configured to setting
Continuous material state is a batch of a division data type.
Embodiment 4：
Unlike above example, in the step 2, including production process real-time monitoring module, process status
Early warning and alarm module, material state discriminating module, it is real-time that the material state discriminating module is separately connected the production process
Monitoring module, the process status early warning and alarm module；The material state discriminating module is configured to accumulative according to material
Whether whether the ratio of amount and process inventory falls into the empirical value section of setting, and distinguished in real time in process fracture or material tail
Portion's state, and export judging result.
Embodiment 5：
Unlike above example, including fracture analysis module, it is configured to carry out two to the data after step 2
Secondary analysis analyzes the variation of the material instantaneous delivery in setting time and judges to obtain following two states and export according to parameter preset
As a result：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow
In the first parameter interval range, first parameter section is preset based on experience value for variation；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium without material, instantaneous
Changes in flow rate in the second parameter interval range, preset based on experience value by second parameter section.
Embodiment 6：
Unlike above example, in step 1, entrance is acquired in the inlet of the production process of process to be analyzed
Material instantaneous delivery；In step 2,3, it is based respectively on the entrance material instantaneous delivery and data is divided and cleaned.
Embodiment 7：
Unlike above example, in step 2, including non-material instantaneous delivery class parametric procedure data type is drawn
Sub-module, according to two conditions of the data type of associated material instantaneous delivery class parameter and preset standard value, to non-object
Material instantaneous flow class parametric procedure data are divided.
Embodiment 8：
Unlike above example, in step 1, arrange parameter measurement point acquires non-material instantaneous delivery class ginseng
Number；After step 3, data analysis is carried out according to following formula, and obtains corresponding data parameter and exports for further analysis
It uses：
The production process of non-material instantaneous delivery class parameter is：Parameter measurement point and reality are begun to pass through mass flow is practical
Leave the process of parameter measurement point in border；
The production process time of non-material instantaneous delivery class parameter is：The material instantaneous delivery valid data time+T is delayed；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches valid data for the first time
Time+T delay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches for the first time in material tail portion
The time+T of non-effective data is delayed；
TDelay=M/V；
TDelay：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
Embodiment 9：
Unlike above example, in step 4, including data analysis unit, the data analysis unit include
Biasing degree computing module, accuracy computing module start waste rate computing module, terminate waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVEssenceCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates to batch last time before terminating from batch and leaves in precise information time interval
Material cumulative amount；
TE=instantaneous mass flow from batch terminate to batch terminate before moisture content of outlet last time leave precise information when
Between；
SE=terminate waste radix.
Embodiment 10：
It is a kind of define throwing, redrying production process data type processing system comprising：
Data acquisition unit, is configured in the inlet of material or by locating arrange parameter measurement point, the parameter is surveyed
Amount point acquires the creation data including material instantaneous delivery data in real time, is sent to data processing unit processing；
Data processing unit, the data processing unit include parameter setting module, data categorization module, and the parameter is set
Cover half block connects data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are again
It is divided into precise information and biased data；The valid data are all data of the production process data in addition to invalid data；Institute
State the data that invalid data generates for the data of non-practical production status generation or because of measurement system error；The biased data is
Data of the valid data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to effective
Data limit parameter, precise information limit parameter executes and carries out parameter reception, modification, transmission, storage, and the valid data limit parameter,
It is the ratio of pre-defined material instantaneous delivery, is then valid data more than ratio, is then invalid data under ratio；Institute
State precise information limit parameter, for the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, ratio with
Upper is precise information, is biased data below ratio；
Data cleansing module：Invalid data, biased data are cleaned respectively.
Embodiment 11：
Unlike above example, in the data acquisition unit, including batch division module, it is configured to set
The material state for setting one-time continuous is a batch of a division data type.
Embodiment 12：
Unlike above example, in the data processing unit, including production process real-time monitoring module, mistake
Journey status early warning and alarm module, material state discriminating module, the material state discriminating module are separately connected described produced
Journey real-time monitoring module, the process status early warning and alarm module；The material state discriminating module, is configured to according to object
Whether material cumulative amount and the ratio of process inventory fall into the empirical value section of setting, and distinguish whether be in process fracture in real time
Or material tail state, and export judging result.
Embodiment 13：
Unlike above example, including fracture analysis module, it is configured to after the data processing unit
Data carry out secondary analysis, analyze setting time in material instantaneous delivery variation is judged to obtain following two according to parameter preset
Kind state simultaneously exports result：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow
In the first parameter interval range, first parameter section is preset based on experience value for variation；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium without material, instantaneous
Changes in flow rate in the second parameter interval range, preset based on experience value by second parameter section.
Embodiment 14：
Unlike above example, in data acquisition unit, in the inlet of the production process of process to be analyzed
Acquire entrance material instantaneous delivery；In data processing unit, data cleansing module, it is based respectively on the entrance material and instantaneously flows
Amount is divided and is cleaned to data.
Embodiment 15：
Unlike above example, in data processing unit, including non-material instantaneous delivery class parametric procedure number
According to Type division module, according to two items of the data type of associated material instantaneous delivery class parameter and preset standard value
Part divides non-material instantaneous delivery class parametric procedure data.
Embodiment 16：
Unlike above example, in data acquisition unit, arrange parameter measurement point acquires non-material and instantaneously flows
Measure class parameter；The data transmission of data cleansing module enters data analysis unit, and the data analysis unit is according to following formula
Data analysis is carried out, and obtains corresponding data parameter and exports use for further analysis：
The production process of non-material instantaneous delivery class parameter is：Parameter measurement point and reality are begun to pass through mass flow is practical
Leave the process of parameter measurement point in border；
The production process time of non-material instantaneous delivery class parameter is：The material instantaneous delivery valid data time+T is delayed；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches valid data for the first time
Time+T delay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches for the first time in material tail portion
Time+the T of non-effective dataE；
TE=M/V；
TE：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
Embodiment 17：
Unlike above example, including data analysis unit, the data analysis unit are calculated including biasing degree
Module, accuracy computing module start waste rate computing module, terminate waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVEssenceCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates to batch last time before terminating from batch and leaves in precise information time interval
Material cumulative amount；
TE=instantaneous mass flow from batch terminate to batch terminate before moisture content of outlet last time leave precise information when
Between；
SE=terminate waste radix.
Embodiment 18：
Unlike above example, data analysis unit includes grouping Processing data analysis module, is configured to pair
Include multiple production processes of grouping Processing in a lot data, i.e. a batch includes multiple process modules, described point
Group process data analysis module, feeding mode of each module material when module switches are divided into following two categories；The first kind, module are cut
When changing, feeding mode is discontinuous feeds intake；The first kind, module switch when, feeding mode is continuous dosing, for press the first kind into
Capable grouping Processing, when module switches, the fluctuation that parametric procedure data generate terminates fluctuation by batch or batch starts fluctuation side
Formula carries out analyzing processing；For the grouping Processing carried out by the second class, when module switches, the fluctuation that parametric procedure data generate is pressed
Process variation processing.
Specific unit or device in the present invention can be a kind of electrically-controlled controller or computer or intelligent terminal or service
The electronic equipments such as device or the virtual computing network of decentralization.
Those of ordinary skill in the art may realize that controls described in conjunction with the examples disclosed in the embodiments of the present disclosure
Molding block, system can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions actually with
Hardware or software mode execute, and depend on the specific application and design constraint of technical solution.Professional technician can
To be used different methods to achieve the described function to each specific application, but this realization is it is not considered that beyond this
The range of invention.
In several embodiments provided herein, it should be understood that disclosed module, system can pass through it
Its mode is realized.For example, module described above, system embodiment are only schematical, for example, the module is drawn
Point, only a kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can
To combine or be desirably integrated into another equipment, or some features can be ignored or not executed.
Finally it should be noted that：Above example is only to illustrate the technical solution of this case rather than its limitations；Although
This case is described in detail with reference to preferred embodiment, those of ordinary skills in the art should understand that：It still can be with
It modifies to the specific implementation mode of this case or equivalent replacement is carried out to some technical characteristics；Without departing from this case technical side
The spirit of case should all cover in the claimed technical proposal scope of this case.
Claims (18)
1. a kind of method of definition throwing, redrying production process data type, which is characterized in that including：
Step 1：In the inlet of material or by locating arrange parameter measurement point, acquisition includes material to the parameter measurement point in real time
Creation data including instantaneous flow data is sent to data processing unit processing；
Step 2：Data processing unit includes parameter setting module, data categorization module, and the parameter setting module connects data
Sort module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are further divided into
Precise information and biased data；The valid data are all data of the production process data in addition to invalid data；The nothing
It is the data that non-practical production status generates or the data because of measurement system error generation to imitate data；The biased data is effective
Data of the data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to valid data
Parameter, the reception of precise information limit parameter execution progress parameter, modification, transmission, storage are limited, the valid data limit parameter, are
The ratio of pre-defined material instantaneous delivery is then valid data more than ratio, is then invalid data under ratio；The essence
Exact figures are the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, are more than ratio according to limit parameter
Precise information is biased data below ratio；
Step 3：Invalid data, biased data are cleaned respectively.
2. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
It is further comprising the steps of：
Step 4：According to the difference of data type, using different statistical analysis techniques；CPK Measure of Process Capability and/or PPK mistakes
The analysis of journey performance index and/or qualification rate is analyzed based on precise information.
3. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
In the step 1, including batch division module, the material state for being configured to setting one-time continuous are a division number
According to a batch of type.
4. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
In the step 2, including production process real-time monitoring module, process status early warning and alarm module, material state distinguish mould
Block, the material state discriminating module are separately connected the production process real-time monitoring module, the process status early warning and report
Alert module；Whether the material state discriminating module is configured to be fallen into according to material cumulative amount and the ratio of process inventory
The empirical value section of setting, and distinguished in real time whether in process fracture or material tail state, and export judging result.
5. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
Including fracture analysis module, it is configured to carry out secondary analysis to the data after step 2, analyzes the material wink in setting time
When changes in flow rate judge to obtain following two states according to parameter preset and export result：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow variation
In the first parameter interval range, first parameter section is preset based on experience value；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium, instantaneous flow without material
In the second parameter interval range, second parameter section is preset based on experience value for variation.
6. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
In step 1, entrance material instantaneous delivery is acquired in the inlet of the production process of process to be analyzed；In step 2,3, respectively
Data are divided and cleaned based on the entrance material instantaneous delivery.
7. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
In step 2, including non-material instantaneous delivery class parametric procedure data type division module, instantaneous according to associated material
Two conditions of data type and preset standard value of class of traffic parameter, draw non-material instantaneous delivery class parametric procedure data
Point.
8. the method for a kind of definition throwing according to claim 1, redrying production process data type, which is characterized in that
In step 1, arrange parameter measurement point acquires non-material instantaneous delivery class parameter；After step 3, according to following formula into
Row data analysis, and obtain corresponding data parameter and export use for further analysis：
The production process of non-material instantaneous delivery class parameter is：Mass flow it is practical begin to pass through parameter measurement point and it is practical from
Open the process of parameter measurement point；
The production process time of non-material instantaneous delivery class parameter is：Material instantaneous delivery valid data time+TDelay；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery for the first time reach valid data when
Between+TDelay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches non-for the first time in material tail portion to be had
Imitate the time+T of dataDelay；
TDelay=M/V；
TDelay：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
9. the method for a kind of definition throwing according to claim 2, redrying production process data type, which is characterized in that
In step 4, including data analysis unit, the data analysis unit include biasing degree computing module, accuracy computing module,
Start waste rate computing module, terminate waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVEssenceCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates from batch to batch to leave the material in precise information time interval before terminating for the last time
Cumulative amount；
TE=instantaneous mass flow terminates to batch moisture content of outlet last time before terminating from batch and leaves the precise information time；
SE=terminate waste radix.
10. the processing system of a kind of definition throwing, redrying production process data type, which is characterized in that including：
Data acquisition unit is configured in the inlet of material or by locating arrange parameter measurement point, the parameter measurement point
Creation data of the acquisition including material instantaneous delivery data in real time is sent to data processing unit processing；
Data processing unit, the data processing unit include parameter setting module, data categorization module, the parameter setting mould
Block connects data categorization module；
Production process data is divided into invalid data, valid data by the data categorization module, and the valid data are further divided into
Precise information and biased data；The valid data are all data of the production process data in addition to invalid data；The nothing
It is the data that non-practical production status generates or the data because of measurement system error generation to imitate data；The biased data is effective
Data of the data in addition to precise information part, the precise information are to limit the data in range in precise information；
Parameter setting module presets following parameter：Valid data limit parameter, precise information limits parameter, to valid data
Parameter, the reception of precise information limit parameter execution progress parameter, modification, transmission, storage are limited, the valid data limit parameter, are
The ratio of pre-defined material instantaneous delivery is then valid data more than ratio, is then invalid data under ratio；The essence
Exact figures are the ratio of the pre-defined material instantaneous delivery for entering production steady-state process, are more than ratio according to limit parameter
Precise information is biased data below ratio；
Data cleansing module：Invalid data, biased data are cleaned respectively.
11. the processing system of a kind of definition throwing according to claim 10, redrying production process data type, feature
It is, in the data acquisition unit, including batch division module, it is configured to the material state of setting one-time continuous
For a batch of a division data type.
12. the processing system of a kind of definition throwing according to claim 1, redrying production process data type, feature
It is, in the data processing unit, including production process real-time monitoring module, process status early warning and alarm module, object
Material state discriminating module, the material state discriminating module are separately connected the production process real-time monitoring module, the process
Status early warning and alarm module；The material state discriminating module is configured to according to material cumulative amount and process inventory
Whether whether ratio falls into the empirical value section of setting, and distinguished in real time in process fracture or material tail state, and exports and sentence
Disconnected result.
13. the processing system of a kind of definition throwing according to claim 10, redrying production process data type, feature
It is, including fracture analysis module, is configured to carry out secondary analysis to the data after the data processing unit, analysis is set
Material instantaneous delivery variation in fixing time judges to obtain following two states and exports result according to parameter preset：
Hold material fracture：In batch production, equipment shuts down and material is parked in the state on transmission medium, instantaneous flow variation
In the first parameter interval range, first parameter section is preset based on experience value；
It is non-to hold material fracture：In batch production, equipment shuts down and is parked in the state on transmission medium, instantaneous flow without material
In the second parameter interval range, second parameter section is preset based on experience value for variation.
14. the processing system of a kind of definition throwing according to claim 10, redrying production process data type, feature
It is, in data acquisition unit, entrance material instantaneous delivery is acquired in the inlet of the production process of process to be analyzed；In number
Data are divided and cleaned according to the entrance material instantaneous delivery in processing unit, data cleansing module, is based respectively on.
15. the processing system of a kind of definition throwing according to claim 10, redrying production process data type, feature
It is, in data processing unit, including non-material instantaneous delivery class parametric procedure data type division module, according to correlation
Two conditions of data type and preset standard value of the material instantaneous delivery class parameter of connection, to non-material instantaneous delivery class parameter mistake
Number of passes is according to being divided.
16. the processing system of a kind of definition throwing according to claim 10, redrying production process data type, feature
It is, in data acquisition unit, arrange parameter measurement point acquires non-material instantaneous delivery class parameter；Data cleansing module
Data transmission enters data analysis unit, and the data analysis unit carries out data analysis according to following formula, and obtains corresponding
Data parameters simultaneously export use for further analysis：
The production process of non-material instantaneous delivery class parameter is：Mass flow it is practical begin to pass through parameter measurement point and it is practical from
Open the process of parameter measurement point；
The production process time of non-material instantaneous delivery class parameter is：Material instantaneous delivery valid data time+TDelay；
The production process time started of non-material instantaneous delivery class parameter：Material instantaneous delivery for the first time reach valid data when
Between+TDelay；
The production process end time of non-material instantaneous delivery class parameter：Material instantaneous delivery reaches non-for the first time in material tail portion to be had
Imitate the time+T of dataDelay；
TDelay=M/V；
TDelay：Material is transported to the time of certain parameter measurement point from instantaneous flow measurement point；
M：Material transmission distance；
V：Transmit medium velocity.
17. according to the processing system of a kind of definition throwing, redrying production process data type described in claim 10~16,
Be characterized in that, including data analysis unit, the data analysis unit include biasing degree computing module, accuracy computing module,
Start waste rate computing module, terminate waste rate computing module：
In the biasing degree computing module, it is configured to biasing degree CVPartiallyCalculation formula is：CVPartially=μPartially/σPartially
μPartially：The mean value of biased data；
σPartially：The standard deviation of biased data；
In the accuracy computing module, it is configured to CVPartiallyCalculation formula is：CVEssence=μEssence/σEssence
μEssence：The mean value of precise information；
σEssence：The standard deviation of precise information；
The beginning waste rate computing module, is configured to PB=MB×TB/SB
MB:Instantaneous mass flow is since batch to the material cumulative amount reached for the first time in precise information time interval；
TBInstantaneous mass flow reaches the precise information time for the first time since batch to entrance moisture data；
SB:Start to waste radix；
The end waste rate computing module, is configured to PE=ME×TE/SE
ME=instantaneous mass flow terminates from batch to batch to leave the material in precise information time interval before terminating for the last time
Cumulative amount；
TE=instantaneous mass flow terminates to batch moisture content of outlet last time before terminating from batch and leaves the precise information time；
SE=terminate waste radix.
18. according to the processing system of a kind of definition throwing, redrying production process data type described in claim 10~16,
It is characterized in that, data analysis unit includes grouping Processing data analysis module, is configured to include point for a lot data
Multiple production processes of group processing, i.e. a batch includes multiple process modules, the grouping Processing data analysis module, respectively
Feeding mode of the module material when module switches is divided into following two categories；The first kind, when module switches, feeding mode is discontinuous
It feeds intake；The first kind, when module switches, feeding mode is continuous dosing, for the grouping Processing carried out by the first kind, module switching
When, the fluctuation that parametric procedure data generate terminates fluctuation by batch or batch starts undulating manner and carries out analyzing processing；For pressing
The grouping Processing that second class carries out, when module switches, the fluctuation that parametric procedure data generate is handled by process variation.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026031A (en) * | 2019-12-13 | 2020-04-17 | 红云红河烟草(集团)有限责任公司 | Steady state identification method for cigarette filament making process data |
| CN111177140A (en) * | 2020-01-02 | 2020-05-19 | 云南昆船电子设备有限公司 | System and method for cleaning data in production process of cigarette primary processing line |
| CN112132378A (en) * | 2020-08-02 | 2020-12-25 | 红塔烟草(集团)有限责任公司 | Threshing and redrying production batch coding method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030208619A1 (en) * | 2002-05-03 | 2003-11-06 | Rossbach Dennis R. | Electronic network filter for classified partitioning |
| CN104573688A (en) * | 2015-01-19 | 2015-04-29 | 电子科技大学 | Mobile platform tobacco laser code intelligent identification method and device based on deep learning |
| CN106407277A (en) * | 2016-08-26 | 2017-02-15 | 北京车网互联科技有限公司 | Internet of vehicles data-based attribute analysis method for vehicle owner parking point after being clustered |
| CN107886238A (en) * | 2017-11-09 | 2018-04-06 | 金航数码科技有限责任公司 | A kind of business process management system and method based on mass data analysis |
-
2018
- 2018-06-08 CN CN201810587457.5A patent/CN108776871A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030208619A1 (en) * | 2002-05-03 | 2003-11-06 | Rossbach Dennis R. | Electronic network filter for classified partitioning |
| CN104573688A (en) * | 2015-01-19 | 2015-04-29 | 电子科技大学 | Mobile platform tobacco laser code intelligent identification method and device based on deep learning |
| CN106407277A (en) * | 2016-08-26 | 2017-02-15 | 北京车网互联科技有限公司 | Internet of vehicles data-based attribute analysis method for vehicle owner parking point after being clustered |
| CN107886238A (en) * | 2017-11-09 | 2018-04-06 | 金航数码科技有限责任公司 | A kind of business process management system and method based on mass data analysis |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111026031A (en) * | 2019-12-13 | 2020-04-17 | 红云红河烟草(集团)有限责任公司 | Steady state identification method for cigarette filament making process data |
| CN111177140A (en) * | 2020-01-02 | 2020-05-19 | 云南昆船电子设备有限公司 | System and method for cleaning data in production process of cigarette primary processing line |
| CN111177140B (en) * | 2020-01-02 | 2023-07-28 | 云南昆船电子设备有限公司 | System and method for cleaning data in production process of tobacco shred production |
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Application publication date: 20181109 |