CN110084451A - The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode - Google Patents
The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode Download PDFInfo
- Publication number
- CN110084451A CN110084451A CN201810076268.1A CN201810076268A CN110084451A CN 110084451 A CN110084451 A CN 110084451A CN 201810076268 A CN201810076268 A CN 201810076268A CN 110084451 A CN110084451 A CN 110084451A
- Authority
- CN
- China
- Prior art keywords
- charging
- flavoring
- multiple batches
- batch
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 90
- 238000011156 evaluation Methods 0.000 title claims abstract description 48
- 239000002304 perfume Substances 0.000 title description 41
- 238000013480 data collection Methods 0.000 claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 239000000463 material Substances 0.000 claims description 27
- 238000003825 pressing Methods 0.000 claims description 12
- 238000012797 qualification Methods 0.000 claims description 10
- 238000010923 batch production Methods 0.000 claims description 9
- 241000208125 Nicotiana Species 0.000 claims description 8
- 235000002637 Nicotiana tabacum Nutrition 0.000 claims description 8
- 238000009826 distribution Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 5
- 238000005315 distribution function Methods 0.000 claims description 2
- 239000007787 solid Substances 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 17
- 239000000835 fiber Substances 0.000 abstract description 13
- 238000012545 processing Methods 0.000 abstract description 5
- 238000004458 analytical method Methods 0.000 abstract description 2
- 235000019504 cigarettes Nutrition 0.000 description 5
- 235000013599 spices Nutrition 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013278 delphi method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Fats And Perfumes (AREA)
Abstract
In the present invention, it is first determined multiple batches of charging or the evaluation interval of flavoring process, process data collection requirement, assessment item, the criterion of assessment item, the weight of assessment item, the standards of grading of assessment item, the comprehensive score method of multiple batches of evaluation under batch charging or flavoring mode；Secondly, being acquired by data, step by step calculation is carried out according to criterion and correlation formula, obtains the numerical value of multiple batches of each evaluation index；Then, it is scored according to the numerical value of each assessment item and its corresponding standards of grading multiple batches of each assessment item；Finally, according to the weight of multiple batches of assessment item, the comprehensive score of the charging of multiple batches of fiber tow production process or flavoring process stability under batch charging or flavoring mode is calculated using weighted formula using the appraisal result of above-mentioned evaluation as data source.Evaluation can be carried out to the quality of the single item evaluation project during evaluation according to above-mentioned evaluation conclusion or multiple batches of Primary Processing carries out overall merit, and provides scientific basis to criticize multiple batches of charging or the quality analysis of flavoring production process under charging or flavoring mode, improving.
Description
Technical field
The present invention relates to the assessment sides of multiple batches of process stability and result integrality under a kind of batch of charging (perfume) mode
Method.
Background technique
Fiber tow production process batch charging (perfume) mode is a kind of to be different from traditional fiber tow production process certainty ratio and feed
Effective charging (perfume) method of (perfume) mode.
The notable feature of fiber tow production process certainty ratio charging (perfume) mode: fiber tow production control system manually to set in advance
Fixed sugar material (essence) application ratio is standard, then acquires the frequency according to prior regulation data, throwing data collection system is certainly
The interior smoked sheet amount of having a net increase of of each acquisition frequency (time) or mixing of dynamic acquisition smoked sheet charging process and silk union flavoring entrance process
The amount of having a net increase of of sugar material (essence) in the silk amount of having a net increase of and each frequency of acquisition, and make the amount of having a net increase of of single sugar material (essence) with to it is corresponding when
The ratio of the amount of having a net increase of of interior single smoked sheet (silk union) applies ratio with artificial preset sugar material (essence) to the maximum extent
Example close to identical, the final stability for realizing charging (perfume) process.It does not need under certainty ratio charging (perfume) mode to charging
(perfume) process weight is estimated, and (perfume) ratio that feeds has uniqueness under the same technological standards, and is by manually setting
Determine typing.
The notable feature of fiber tow production process batch charging (perfume) mode: ensuring that charging (perfume) process is stable and smoked sheet is (mixed
Plying) supplied materials stablize under the premise of, feed (perfume) entrance process weight are as follows: throwing data collection system is according to leading portion production process
Known procedure weight, and preset virtual procedure weight under manual intervention, obtaining preset virtual procedure weight
After amount, according to known formula sugar material (essence) weight information, throwing data collection system can use formula sugar material (essence) amount
Divided by preset virtual procedure weight, the virtual application ratio setpoint of the batch sugar material (essence), each batch are obtained
Sugar material (essence) virtually apply ratio setpoint have uniqueness, while preset virtual charging (perfume) ratio for mark
Standard, throwing data collection system automatically control and acquire each acquisition frequency of smoked sheet charging process and silk union flavoring entrance process
The amount of having a net increase of of sugar material (essence), makes the same units time in the secondary interior smoked sheet amount of having a net increase of or the silk union amount of having a net increase of and each acquisition frequency
The amount of having a net increase of of interior sugar material (essence) with the ratio of the amount of having a net increase of of smoked sheet (silk union) in the corresponding time to the maximum extent and virtually
Sugar material (essence) applies ratio setpoint and approaches to the greatest extent, the final process stability realized under batch charging (perfume) mode.
Based on above-mentioned analysis, a kind of assessment side for being different from traditional fiber tow production process certainty ratio charging (perfume) is needed
Method evaluates batch charging (perfume) situation of charging (perfume) mode.
IBSN is " the cigarette process specification " -2016 editions that the State Tobacco Monopoly Bureau of 978-7-5019-8637-8 issues,
The estimation of stability of fiber tow production charging (perfume) process is provided, but provides that be mainly adapted to fiber tow production process compares surely
Evaluation under example charging (perfume) mode does not advise charging (perfume) the process stability evaluation in batch charging (perfume) mode lower batch
It is fixed.
Standard No. is People's Republic of China's tobacco business standard of YC/Z 502-2014: " cigarette primary processing process data is adopted
Collection and processing guide " fiber tow production process data acquisition requirement, batch the contents such as are collected, classified and be described, and to having
Effect data and invalid data identification, steady state data and the identification of unstable state data, processing method define general processing side
Method not yet explicitly provides the stability of the production process and result Integrity Assessment of throwing smoked sheet charging process and silk union flavoring process
Requirement.
Summary of the invention
The present invention, which overcomes, lacks multiple batches of process matter of fiber tow production process under batch charging (perfume) mode in open source literature
Measure the defect of evaluation method, it is desirable to provide multiple batches of process stability and result integrality under one kind batch charging (perfume) mode
Assessment method.
The survey of multiple batches of process stability and result integrality under a kind of batch of charging provided by the invention or flavoring mode
Comment method, which comprises the following steps:
Step 1: determining that multiple batches of assessment item includes: multiple batches of instantaneous charging or Flavouring Precision qualification rate, more batches
Charging or flavoring totality unstable state index, multiple batches of overall charging or flavoring drift rate, multiple batches of charging or flavoring between secondary
Batch does not meet rate；Determine evaluation interval；Determine valid data；Collecting sample data.
Step 2: pressing formula (1):Each batch in Calculation Estimation section
Secondary instantaneous charging or Flavouring Precision, in formula, δniFor the instantaneous charging of single batch or Flavouring Precision, δiInstantaneously to feed or adding
Fragrant ratio, δsiThe charging or flavoring ratio that this batch is set automatically, n >=30, i.e., the interior sampling of each batch are directed to for data actuation
Sample size >=30；Press formula (2) again:Calculate multiple batches of instantaneous charging or flavoring essence
Spend qualification rate and score, in formula, P is that multiple batches of instantaneous charging or Flavouring Precision qualification rate, Φ () indicate standardized normal distribution
Function, USL are the up -sided limit specified of instantaneous charging or Flavouring Precision, and USL value is 1% when calculating instantaneous charging precision, calculates wink
When Flavouring Precision when USL value be 0.5%, u be instantaneous charging or Flavouring Precision population mean, σ is instantaneous charging or flavoring essence
Spend standard deviation in population；Charging or flavoring process standards of grading: P >=99.994% gets a mark of 100；99.73%≤P <
99.994%, obtain 90 points；95.45%≤P < 99.73% obtains 80 points；68.27%≤P ﹤ 95.45%, scores 70 marks；P ﹤
68.27%, obtain 0 point；
Step 3: pressing formula (3): Wni=Fi÷Yi× 100%, the charging of each batch or flavoring in Calculation Estimation section
Unstable state index, in formula, WniCharging or flavoring unstable state index for single batch, FiFor in charging or flavoring sample data
In the data volume of unstable state, YiFor charging or the data volume of flavoring sample data；Wherein, steady state data and unstable state data are sentenced
Calibration standard is respectively as follows: " system sets feed ratio ± 0.015 automatically ", " system sets flavoring ratio ± 0.01 automatically ", that is, will
δ in formula (1)iValue is determined according to bi-distribution, when criticizing charging, δiValue do not fall within system set automatically feed ratio ±
It is the data of unstable state in 0.015 range, when criticizing flavoring, δiValue does not fall within system and is set in ± 0.01 range of flavoring ratio automatically
For the data of unstable state, F is counted accordinglyiValue；Press formula (4) again:Calculate multiple batches of charging or
Flavoring totality unstable state index and score, in formula: WtFor multiple batches of charging or flavoring totality unstable state index, WniIt is n-th
The unstable state index of batch, t are lot count amount；The overall unstable state index score standard of multiple batches of charging: Wt> 20%, obtains
0 point；Wt≤ 20%, score=(20%-Wt)×500；Multiple batches of flavoring totality unstable state index score standard: Wt> 10%,
Obtain 0 point；Wt≤ 10%, score=(10%-Wt)×1000；
Step 4: pressing formula (5): Δ=| TSs-TSp|÷TSp× 100% calculates each batch in acquisition evaluation interval
Practical charging or flavoring drift rate, according still further to formula (6):Multiple batches of overall charging is calculated or adds
Fragrant drift rate, in formula (5): Δ is single batch charge or flavoring drift rate, TSsTerminate practical sugar material or perfume (or spice) for batch production
Smart applied amount, TSpTo be formulated defined sugar material or essence amount；In formula (6): ΔzFor multiple batches of charging or the overall offset of flavoring
Degree, t are lot count amount；Multiple batches of charging process standards of grading: 0 < charging overall offset degree≤4%, score=100-10
× charging overall offset degree；Feed overall offset degree > 4%, obtains 0 point；Flavoring process standards of grading: 0 < flavoring overall offset degree
≤ 3%, score=100-13 × flavoring overall offset degree；Flavoring drift rate > 3.0%, obtains 0 point；
Step 5: pressing formula (7): M=TXb÷TXt× 100%, calculate multiple batches of charging or flavoring in evaluation interval
Batch does not meet rate and score, in formula (7): M is that multiple batches of charging or flavoring batch do not meet rate, TXbDuring evaluation
It criticizes charging or flavoring does not meet batch number, TXtFor the total batch number for producing pipe tobacco during evaluation, TXtSample >=30, i.e. this evaluation
Sample size >=30 of the sampling batch of interval selection；Multiple batches of charging batch does not meet rate standards of grading: M > 20% obtains 0
Point；M≤20%, score=(20%-M) × 500；Multiple batches of flavoring batch does not meet rate standards of grading: M > 10% obtains 0
Point；M≤10%, score=(10%-M) × 1000；
Step 6: according to formula (8): Ftt=G × 25%+K × 25%+L × 25%+N × 25%, calculate batch charging or
Multiple batches of charging or flavoring comprehensive evaluation index in evaluation interval under flavoring mode, in formula, FttFor batch charging or flavoring mould
Multiple batches of charging or flavoring comprehensive score under formula, G are multiple batches of instantaneous charging being calculated in above-mentioned steps two or add
Essence degree qualification rate score, K are that multiple batches of charging being calculated in above-mentioned steps three or flavoring totality unstable state index obtain
Point, L is the multiple batches of charging or flavoring overall offset degree score being calculated in above-mentioned steps four, and N is in above-mentioned steps five
Multiple batches of charging being calculated or flavoring batch do not meet rate score.
Preferably, the determining valid data specifically include: with throwing data collection system according to the data pre-established
The requirement of collection rule collects first group of smoked sheet that smoked sheet and smoked sheet charging system on charging process entrance electronic scale apply
Increment information with sugar material is the beginning of charging process valid data, until before batch production terminates, throwing data collection system
Last group of smoked sheet and sugar material increasing that smoked sheet and smoked sheet charging system on charging process entrance electronic scale apply are collected simultaneously
The information of amount is the end of charging process valid data, and the part for removing this period invalid data is the significant figure of charging process
According to the valid data can be used as the sample data of charging；It is acquired with throwing data collection system according to the data pre-established
The requirement of rule, while collecting first group that the silk union on flavoring process inlet electronic scale and silk union flavoring system apply
The increment information of silk union and essence is the beginning of flavoring process valid data, until throwing data are adopted before batch production terminates
Collecting system collects the silk union on the entrance electronic scale of flavoring process and last group of silk union flavoring system application simultaneously
The increment information of silk union and essence is the end of valid data, and the part for removing this period invalid data is having for flavoring process
Data are imitated, which can be used as flavoring sample data.
Detailed description of the invention
Fig. 1 is assessment method flow chart of the present invention.
Specific embodiment
Use charging (perfume) process stability and knot of fiber tow production process under of the present invention batch of (perfume) mode that feeds
Fruit Integrity Assessment method, comprising the following steps:
Step 1: determining multiple batches of assessment item；Determine evaluation interval；Determine valid data；Collecting sample data.
Assessment item with tobacco business " cigarette process specification " (2016 editions) for foundation, and in reference professional standard " cigarette
Primary Processing data acquisition and procession guide " on the basis of (YC/Z 502-2014), evaluated in conjunction with batch charging (perfume) mode quality
Need to set.Determine that multiple batches of assessment item includes: multiple batches of instantaneous charging or Flavouring Precision qualification rate, multiple batches of
Charging or flavoring totality unstable state index, multiple batches of overall charging or flavoring drift rate, multiple batches of charging or flavoring batch
Rate is not met.
It determines assessment item weight: being attached most importance to process control, while prominent result control will be criticized using Delphi method
The weight of the assessment item of the process stability of (perfume) mode of charging is determined as 50%, as a result the weight of the assessment item of integrality
It is determined as 50%.
The evaluation batch for determining the pipe tobacco of certain specification brand needs technological standards, production process related on the basis of evaluation batch
It is required that under the time by week, ten days, the moon, half a year or year, carrying out statistics is an evaluation interval under unanimous circumstances；
When evaluation, multiple batches of in throwing data actuation automatic collection section specific time following data is collected: charging
Process weight (the automatic conversion process weight that (perfume) entrance is estimated under manual intervention according to some process weight information of front automatically
Amount), it is practical formula sugar material (essence) amount, charging (perfume) ratio, the actually applied amount of sugar material (essence), charging (perfume) entrance estimated
Practical process weight, the information such as batch instantaneous charging precision, the statistical sample amount of collection answers >=30 batches, and by data by the trade mark,
Specification, batch information are collected.
Determine valid data: the requirement with throwing data collection system according to the data collecting rule pre-established, acquisition
Smoked sheet and smoked sheet the charging system first group of smoked sheet applied on to charging process entrance electronic scale and the increment information of sugar material are
The beginning of charging process valid data, until throwing data collection system collects charging process simultaneously before batch production terminates
The information of last group of smoked sheet and sugar material increment that smoked sheet and smoked sheet charging system on entrance electronic scale apply is charging process
The end of valid data, the part for removing this period invalid data is the valid data of charging process, which can make
For the sample data of charging；With throwing data collection system according to the requirement of the data collecting rule pre-established, acquire simultaneously
The increment of first group of silk union and essence that silk union and silk union flavoring system on to flavoring process inlet electronic scale apply
Information is the beginning of flavoring process valid data, until throwing data collection system collects simultaneously to be added before batch production terminates
The increment of last group of silk union and essence that silk union and silk union flavoring system on the entrance electronic scale of fragrant process apply
Information is the end of valid data, and the part for removing this period invalid data is the valid data of flavoring process, the valid data
It can be used as flavoring sample data.
It determines steady state data and unstable state data: collecting the historical data of half a year, select normal productive process throwing data
The data of acquisition system acquisition carry out test of normality；The data for collecting Normal Distribution, count the charging (perfume) of each batch
After ratio standard deviation, carry out arithmetic average, take 3 times of mean values to use as franchise, (perfume) the Steady-state process data that fed and
The defining standard of unstable state data is respectively as follows: that " system sets feed ratio ± 0.015 automatically ", " system sets flavoring ratio automatically
The determination of example ± 0.01 ", steady state data and unstable state data can refer to but be not limited only to the method.
The determination of criterion is provided referring to tobacco business " cigarette process specification ", and combines control practice and demand true
Criterion and single assessment item standards of grading in fixed batch charging (perfume) mode lower batch, are shown in Table 1.
Table 1
Step 2: pressing formula (1):Each batch in Calculation Estimation section
Secondary instantaneous charging or Flavouring Precision, in formula, δniFor the instantaneous charging of single batch or Flavouring Precision, δiInstantaneously to feed or adding
Fragrant ratio, δsiThe charging or flavoring ratio that this batch is set automatically, n >=30, i.e., the interior sampling of each batch are directed to for data actuation
Sample size >=30；Press formula (2) again: (USL-u/ σ × 100%, calculates multiple batches of instantaneous charging to P Φ or Flavouring Precision closes
Lattice rate and score, in formula, P is that multiple batches of instantaneous charging or Flavouring Precision qualification rate, Φ () indicate standardized normal distribution letter
Number, USL are the up -sided limit specified of instantaneous charging or Flavouring Precision, and USL value is 1% when calculating instantaneous charging precision, is calculated instantaneous
It is instantaneous charging or Flavouring Precision population mean that USL value, which is 0.5%, u, when Flavouring Precision, and σ is instantaneous charging or Flavouring Precision
Standard deviation in population；Charging or flavoring process standards of grading: P >=99.994% gets a mark of 100；99.73%≤P < 99.994%,
Obtain 90 points；95.45%≤P < 99.73% obtains 80 points；68.27%≤P ﹤ 95.45%, scores 70 marks；P ﹤ 68.27% obtains 0 point；
Step 3: pressing formula (3): Wni=Fi÷Yi× 100%, the charging of each batch or flavoring in Calculation Estimation section
Unstable state index, in formula, WniCharging or flavoring unstable state index for single batch, FiFor in charging or flavoring sample data
In the data volume of unstable state, YiFor charging or the data volume of flavoring sample data；Wherein, steady state data and unstable state data are sentenced
Calibration standard is respectively as follows: " system sets feed ratio ± 0.015 automatically ", " system sets flavoring ratio ± 0.01 automatically ", that is, will
δ in formula (1)iValue is determined according to bi-distribution, when criticizing charging, δiValue do not fall within system set automatically feed ratio ±
It is the data of unstable state in 0.015 range, when criticizing flavoring, δiValue does not fall within system and is set in ± 0.01 range of flavoring ratio automatically
For the data of unstable state, F is counted accordinglyiValue；Press formula (4) again:Calculate multiple batches of charging or
Flavoring totality unstable state index and score, in formula: WtFor multiple batches of charging or flavoring totality unstable state index, WniIt is n-th
The unstable state index of batch, t are lot count amount；The overall unstable state index score standard of multiple batches of charging: Wt> 20%, obtains
0 point；Wt≤ 20%, score=(20%-Wt)×500；Multiple batches of flavoring totality unstable state index score standard: Wt> 10%,
Obtain 0 point；Wt≤ 10%, score=(10%-Wt)×1000；
Step 4: pressing formula (5): Δ=| TSs-TSp|÷TSp× 100% calculates each batch in acquisition evaluation interval
Practical charging or flavoring drift rate, according still further to formula (6):Multiple batches of overall charging is calculated or adds
Fragrant drift rate, in formula (5): Δ is single batch charge or flavoring drift rate, TSsTerminate practical sugar material or perfume (or spice) for batch production
Smart applied amount, TSpTo be formulated defined sugar material or essence amount；In formula (6): ΔzFor multiple batches of charging or the overall offset of flavoring
Degree, t are lot count amount；Multiple batches of charging process standards of grading: 0 < charging overall offset degree≤4%, score=100-10
× charging overall offset degree；Feed overall offset degree > 4%, obtains 0 point；Flavoring process standards of grading: 0 < flavoring overall offset degree
≤ 3%, score=100-13 × flavoring overall offset degree；Flavoring drift rate > 3.0%, obtains 0 point；
Step 5: pressing formula (7): M=TXb÷TXt× 100%, calculate multiple batches of charging or flavoring in evaluation interval
Batch does not meet rate and score, in formula (7): M is that multiple batches of charging or flavoring batch do not meet rate, TXbDuring evaluation
It criticizes charging or flavoring does not meet batch number, TXtFor the total batch number for producing pipe tobacco during evaluation, TXtSample >=30, i.e. this evaluation
Sample size >=30 of the sampling batch of interval selection；Multiple batches of charging batch does not meet rate standards of grading: M > 20% obtains 0
Point；M≤20%, score=(20%-M) × 500；Multiple batches of flavoring batch does not meet rate standards of grading: M > 10% obtains 0
Point；M≤10%, score=(10%-M) × 1000；
Step 6: according to formula (8): Ftt=G × 25%+K × 25%+L × 25%+N × 25%, calculate batch charging or
Multiple batches of charging or flavoring comprehensive evaluation index in evaluation interval under flavoring mode, in formula, FttFor batch charging or flavoring mould
Multiple batches of charging or flavoring comprehensive score under formula, G are multiple batches of instantaneous charging being calculated in above-mentioned steps two or add
Essence degree qualification rate score, K are that multiple batches of charging being calculated in above-mentioned steps three or flavoring totality unstable state index obtain
Point, L is the multiple batches of charging or flavoring overall offset degree score being calculated in above-mentioned steps four, and N is in above-mentioned steps five
Multiple batches of charging being calculated or flavoring batch do not meet rate score.
In the present invention, it is first determined the evaluation interval of multiple batches of charging (perfume) process, process under batch charging (perfume) mode
It is data collection requirements, assessment item, the criterion of assessment item, the weight of assessment item, the standards of grading of assessment item, more
Comprehensive score between batch comments method；Secondly, being acquired by data, step by step calculation is carried out according to criterion and correlation formula, is obtained
Obtain the numerical value of every evaluation index；Then, according to the numerical value of every assessment item and its corresponding standards of grading to commenting in batch
Valence project scores；Finally, using the appraisal result of above-mentioned evaluation as data source, according to the weight of each assessment item,
Multiple batches of fiber tow production process charging (perfume) mistake in evaluation interval is calculated under batch charging (perfume) mode using weighted formula
The comprehensive score of journey.According to above-mentioned evaluation conclusion can quality to multiple batches of single item evaluation project in the evaluation interval into
Row evaluation or multiple batches of overall merit.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (2)
1. the assessment method of multiple batches of process stability and result integrality, feature exist under a kind of batch of charging or flavoring mode
In, comprising the following steps:
Step 1: determining that multiple batches of assessment item includes: multiple batches of instantaneous charging or Flavouring Precision qualification rate, multiple batches of
Charging or flavoring totality unstable state index, multiple batches of overall charging or flavoring drift rate, multiple batches of charging or flavoring batch
Rate is not met；Determine evaluation interval；Determine valid data；Collecting sample data.
Step 2: pressing formula (1):Each batch in Calculation Estimation section
Instantaneous charging or Flavouring Precision, in formula, δniFor the instantaneous charging of single batch or Flavouring Precision, δiInstantaneously to feed or flavoring ratio
Example, δsiThe charging or flavoring ratio that this batch is set automatically, n >=30, i.e., the interior sample sampled of each batch are directed to for data actuation
This amount >=30；Press formula (2) again: P=Φ (USL-u)/σ × 100% calculates multiple batches of instantaneous charging or Flavouring Precision is qualified
Rate and score, in formula, P is that multiple batches of instantaneous charging or Flavouring Precision qualification rate, Φ () indicate standard normal distribution function,
USL is the up -sided limit specified of instantaneous charging or Flavouring Precision, and USL value is 1% when calculating instantaneous charging precision, calculates instantaneous flavoring
It is instantaneous charging or Flavouring Precision population mean that USL value, which is 0.5%, u, when precision, and σ is that instantaneous charging or Flavouring Precision are overall
Standard deviation；Charging or flavoring process standards of grading: P >=99.994% gets a mark of 100；99.73%≤P < 99.994%, obtains 90
Point；95.45%≤P < 99.73% obtains 80 points；68.27%≤P ﹤ 95.45%, scores 70 marks；P ﹤ 68.27% obtains 0 point；
Step 3: pressing formula (3): Wni=Fi÷Yi× 100%, the charging of each batch or flavoring are non-steady in Calculation Estimation section
State index, in formula, WniCharging or flavoring unstable state index for single batch, FiIt is non-to be in charging or flavoring sample data
The data volume of stable state, YiFor charging or the data volume of flavoring sample data；Wherein, the judgement mark of steady state data and unstable state data
Standard is respectively as follows: " system sets feed ratio ± 0.015 automatically ", " system sets flavoring ratio ± 0.01 automatically ", that is, by formula
(1) δ iniValue is determined according to bi-distribution, when criticizing charging, δiValue does not fall within system and sets feed ratio ± 0.015 automatically
It is the data of unstable state in range, when criticizing flavoring, δiIt is non-that value, which does not fall within system and set in ± 0.01 range of flavoring ratio automatically,
The data of stable state, count F accordinglyiValue；Press formula (4) again:Calculate multiple batches of charging or flavoring
Overall unstable state index and score, in formula: WtFor multiple batches of charging or flavoring totality unstable state index, WniFor n-th of batch
Unstable state index, t be lot count amount；The overall unstable state index score standard of multiple batches of charging: Wt> 20% obtains 0 point；
Wt≤ 20%, score=(20%-Wt)×500；Multiple batches of flavoring totality unstable state index score standard: Wt> 10%, obtains 0
Point；Wt≤ 10%, score=(10%-Wt)×1000；
Step 4: pressing formula (5): Δ=| TSs-TSp|÷TSp× 100% calculates the reality for obtaining each batch in evaluation interval
Charging or flavoring drift rate, then press formula (6):The inclined of multiple batches of overall charging or flavoring is calculated
Shifting degree, in formula (5): Δ is single batch charge or flavoring drift rate, TSsTerminate practical sugar material for batch production or essence applies
Amount, TSpTo be formulated defined sugar material or essence amount；In formula (6): ΔzFor multiple batches of charging or the overall offset degree of flavoring, t is batch
Secondary total quantity；Multiple batches of charging process standards of grading: 0 < charging overall offset degree≤4%, score=100-10 × charging are total
Solid offsetting degree；Feed overall offset degree > 4%, obtains 0 point；Flavoring process standards of grading: 0 < flavoring overall offset degree≤3% obtains
Point=100-13 × flavoring overall offset degree；Flavoring drift rate > 3.0%, obtains 0 point；
Step 5: pressing formula (7): M=TXb÷TXt× 100%, calculate multiple batches of charging or flavoring batch in evaluation interval
Rate and score are not met, in formula (7): M is that multiple batches of charging or flavoring batch do not meet rate, TXbIt criticizes and adds during for evaluation
Material or flavoring do not meet batch number, TXtFor the total batch number for producing pipe tobacco during evaluation, TXtSample >=30, i.e. this evaluation interval
Sample size >=30 of the sampling batch of selection；Multiple batches of charging batch does not meet rate standards of grading: M > 20% obtains 0 point；M≤
20%, score=(20%-M) × 500；Multiple batches of flavoring batch does not meet rate standards of grading: M > 10% obtains 0 point；M≤
10%, score=(10%-M) × 1000；
Step 6: according to formula (8): Ftt=G × 25%+K × 25%+L × 25%+N × 25% calculates batch charging or flavoring
Multiple batches of charging or flavoring comprehensive evaluation index in evaluation interval under mode, in formula, FttFor under batch charging or flavoring mode
Multiple batches of charging or flavoring comprehensive score, G are the multiple batches of instantaneous charging or flavoring essence being calculated in above-mentioned steps two
Qualification rate score is spent, K is multiple batches of charging being calculated in above-mentioned steps three or flavoring totality unstable state index score, L
For multiple batches of charging being calculated in above-mentioned steps four or flavoring overall offset degree score, N is to calculate in above-mentioned steps five
Multiple batches of obtained charging or flavoring batch do not meet rate score.
2. process stability and result integrality between more batches under a kind of batch of charging according to claim 1 or flavoring mode
Assessment method, which is characterized in that determine that valid data specifically include: with throwing data collection system according to the data pre-established
The requirement of collection rule collects first group of smoked sheet that smoked sheet and smoked sheet charging system on charging process entrance electronic scale apply
Increment information with sugar material is the beginning of charging process valid data, until before batch production terminates, throwing data collection system
Last group of smoked sheet and sugar material increasing that smoked sheet and smoked sheet charging system on charging process entrance electronic scale apply are collected simultaneously
The information of amount is the end of charging process valid data, and the part for removing this period invalid data is the significant figure of charging process
According to the valid data can be used as the sample data of charging；It is acquired with throwing data collection system according to the data pre-established
The requirement of rule, while collecting first group that the silk union on flavoring process inlet electronic scale and silk union flavoring system apply
The increment information of silk union and essence is the beginning of flavoring process valid data, until throwing data are adopted before batch production terminates
Collecting system collects the silk union on the entrance electronic scale of flavoring process and last group of silk union flavoring system application simultaneously
The increment information of silk union and essence is the end of valid data, and the part for removing this period invalid data is having for flavoring process
Data are imitated, which can be used as flavoring sample data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810076268.1A CN110084451A (en) | 2018-01-26 | 2018-01-26 | The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810076268.1A CN110084451A (en) | 2018-01-26 | 2018-01-26 | The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110084451A true CN110084451A (en) | 2019-08-02 |
Family
ID=67412204
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810076268.1A Pending CN110084451A (en) | 2018-01-26 | 2018-01-26 | The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110084451A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111402989A (en) * | 2020-06-08 | 2020-07-10 | 江西汇仁药业股份有限公司 | Method for evaluating comprehensive quality of traditional Chinese medicine |
| CN112205658A (en) * | 2020-11-13 | 2021-01-12 | 河南中烟工业有限责任公司 | Method for evaluating tobacco shred quality of cigarette production line |
-
2018
- 2018-01-26 CN CN201810076268.1A patent/CN110084451A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111402989A (en) * | 2020-06-08 | 2020-07-10 | 江西汇仁药业股份有限公司 | Method for evaluating comprehensive quality of traditional Chinese medicine |
| CN112205658A (en) * | 2020-11-13 | 2021-01-12 | 河南中烟工业有限责任公司 | Method for evaluating tobacco shred quality of cigarette production line |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106617251B (en) | A kind of beating and double roasting processing method of raw tobacco material | |
| CN110084451A (en) | The evaluation method of multiple batches of process stability and result integrality under one kind batch charging (perfume) mode | |
| CN109902900A (en) | A kind of process capability assessment method based on the production of full leaf beating and double roasting | |
| CN106770303B (en) | Image analysis-based cigarette cut tobacco structure characterization method | |
| CN111737643B (en) | Method for measuring structural distribution stability of cut tobacco | |
| CN110122915A (en) | A kind of beating and double roasting processing quality integrated evaluating method | |
| CN109840698A (en) | A kind of comparative evaluation's method and its application of Sensory Quality of Cigarette | |
| Zhukovskaya et al. | Global analysis of an exponential model of cell proliferation for estimation of cell cycle duration in the root apical meristem of angiosperms | |
| CN111642782A (en) | Tobacco leaf raw material efficacy positioning method based on cigarette formula requirements | |
| CN109994162A (en) | A kind of cured tobacco leaf chemical component suitability method for quantitatively evaluating of organoleptic quality guiding | |
| CN107843695A (en) | Tobacco and the electronic nose instrument evaluation method of tobacco product aesthetic quality | |
| CN102488309B (en) | Intelligent tobacco formulation method | |
| CN101536809B (en) | Accurate proportioning technics in tobacco-processing | |
| CN110084452A (en) | The assessment method of one kind batch charging (perfume) mode lower batch of internal procedure stability and result integrality | |
| CN111652516A (en) | Tobacco base applicability evaluation method based on formula efficacy | |
| Zug | Age determination of long-lived reptiles: some techniques for seaturtles | |
| CN109902898A (en) | It is a kind of based on the process capability assessment method for cutting the production of sharp beating and double roasting | |
| CN108208903A (en) | A kind of tobacco leaf homogenizes processing method | |
| Junli et al. | Evaluation of tobacco mixing uniformity based on chemical composition | |
| Rook et al. | Stochastic models of grazing behaviour in sheep | |
| Sivakumar | Prediction of leaf area index in soya bean (Glycine max.(L.) Merrill) | |
| CN114638458A (en) | Indoor air data analysis method and system based on Internet of things | |
| Barnes | Variability within and among experiment stations in the determination of in vivo digestibility and intake of alfalfa | |
| Markov et al. | Instrumental texture studies on chocolate IV: Comparison between instrumental and sensory texture studies | |
| CN108416489B (en) | Processing method and processing system for sensory evaluation data of tobacco products |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190802 |