CN110262409A - A kind of cigarette machine data processing method and system towards intelligence manufacture - Google Patents
A kind of cigarette machine data processing method and system towards intelligence manufacture Download PDFInfo
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- CN110262409A CN110262409A CN201910412180.7A CN201910412180A CN110262409A CN 110262409 A CN110262409 A CN 110262409A CN 201910412180 A CN201910412180 A CN 201910412180A CN 110262409 A CN110262409 A CN 110262409A
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- 235000019504 cigarettes Nutrition 0.000 title claims abstract description 81
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 24
- 238000003672 processing method Methods 0.000 title claims abstract description 20
- 238000007726 management method Methods 0.000 claims abstract description 84
- 238000004458 analytical method Methods 0.000 claims abstract description 34
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 230000000694 effects Effects 0.000 claims abstract description 10
- 238000007781 pre-processing Methods 0.000 claims abstract description 3
- 238000000034 method Methods 0.000 claims description 22
- 238000012545 processing Methods 0.000 claims description 12
- 238000013523 data management Methods 0.000 claims description 10
- 238000012423 maintenance Methods 0.000 claims description 10
- 230000010354 integration Effects 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
- 230000000903 blocking effect Effects 0.000 claims description 5
- 238000013501 data transformation Methods 0.000 claims description 5
- 239000011159 matrix material Substances 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 241000510097 Megalonaias nervosa Species 0.000 claims description 4
- 238000013210 evaluation model Methods 0.000 claims description 4
- 238000003860 storage Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 238000005201 scrubbing Methods 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- 230000008901 benefit Effects 0.000 claims description 2
- 238000004891 communication Methods 0.000 claims description 2
- 238000010606 normalization Methods 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims 1
- 238000004364 calculation method Methods 0.000 claims 1
- 230000008859 change Effects 0.000 description 6
- 230000006872 improvement Effects 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 5
- 238000011160 research Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 235000019506 cigar Nutrition 0.000 description 2
- 238000004140 cleaning Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000004069 differentiation Effects 0.000 description 2
- 244000061176 Nicotiana tabacum Species 0.000 description 1
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012372 quality testing Methods 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of cigarette machine data processing method and system towards intelligence manufacture, the following steps are included: equipment traffic data: being based on cigarette machine management business type, using QFD analysis method, cigarette machine data needed for determining cigarette machine management business；Device data capitalization: classification is carried out to characteristic, the element of cigarette machine data and is collected, establishes cigarette machine operation data library, and carry out life cycle management；Data application is intelligent: pre-processing to cigarette machine data collected；Select ideal mathematics model；Pretreated data are input to selected model, are exported as a result, based on output result thoroughly evaluating model performance and effect；Moving model forms final data analysis decision result；Analysis decision collaborative: feeding back to equipment management information data according to analysis decision result, realizes that cigarette machine management data are cooperateed with the effective of equipment management information data.
Description
Technical field
The present invention relates to device data processing technology fields, more particularly to a kind of cigarette machine number towards intelligence manufacture
According to processing method and system.
Background technique
As equipment automatization, informationization, intelligent level are continuously improved, manufacturing equipment produces mass data, this
A little data fail to be excavated by depth, cannot therefrom find out equipment management there are the problem of, do not know where to begin more and how to be held for problem
It is continuous to improve, result in the mass data wasting of resources.
Management is forced with data, allows data-driven business, history is allowed to tell that future is the number that everybody generally accepts in recent years
According to one of application model.There are which data in equipment management on earth, needs which data, how to classify, how how to manage
Using etc., different enterprises are all tried to explore, and also achieve preliminary actual effect, but mostly from enterprise's own service angle to setting
Standby data are applied, and lack the integrated planning to data processing management and application, and personalization is strong, universality is poor.
In Field of Tobacco, the data of cigarette machine are often not enough matched with the management business measure of equipment, are caused to volume
The management of cigarette equipment is inaccurate, can not play the utilization of the running data of cigarette machine, can not achieve based on cigarette machine
Operating status cigarette machine is effectively managed.
Summary of the invention
In order to solve the deficiencies in the prior art, the cigarette machine data processing towards intelligence manufacture that the present invention provides a kind of
Method.
The disclosure is achieved through the following technical solutions:
A kind of cigarette machine data processing method towards intelligence manufacture, the method based on server realize, including with
Lower step:
Equipment traffic data: cigarette machine is determined using QFD analysis method based on cigarette machine management business type
Cigarette machine data needed for management business；
Device data capitalization: carrying out classification to characteristic, the element of cigarette machine data and collect, and establishes cigarette machine operation
Database, and carry out life cycle management；
Data application is intelligent: pre-processing to cigarette machine data collected；Select ideal mathematics model；It will be pre-
Data that treated are input to selected model, are exported as a result, based on output result thoroughly evaluating model performance and effect
Fruit；Moving model forms final data analysis decision result；
Analysis decision collaborative: in conjunction with the specific service application of cigarette machine, deployment region is selected, preference pattern carrying is flat
Platform；Equipment management information data are fed back to according to analysis decision result, realize cigarette machine management data and equipment management information
Effective collaboration of data.
The disclosure also discloses a kind of device data processing system towards intelligence manufacture, and it is real that the system is based on server
It is existing, comprising:
Equipment traffic data module, is configured as: it is based on cigarette machine management business type, using QFD analysis method,
Data needed for determining cigarette machine management business；
Device data capitalization module, is configured as: carrying out classification to characteristic, the element of cigarette machine data and collects, builds
Vertical cigarette machine operation data library, and carry out life cycle management；
Data application intellectualized module, is configured as: carrying out including data decimation, number to cigarette machine data collected
According to cleaning, data integration, data transformation, the pretreatment of data regularization；Different modeling methods is selected and applied, determines each model
Optimized parameter selects ideal mathematics model by comparing each model performance；Pretreated data are input to selected mould
Type is exported as a result, based on output result thoroughly evaluating model performance and effect；Moving model forms final data analysis
The result of decision；
Analysis decision collaborative module, is configured as: in conjunction with the specific service application of cigarette machine, deployment region is selected,
Preference pattern carrying platform；Equipment management information is improved according to analysis decision result, equipment management data is realized and sets
Effective collaboration of standby management business data.
Compared with prior art, the beneficial effects of the present invention are:
The disclosure can identify that current device manages existing weak link, and be commander's identification apparatus data with business,
Main line is turned to value the height that device data rises to assets is managed and is applied according to life cycle management theory, have
Excavating equipment data resource value is imitated, realizes the maximization of device data value.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is the method building flow chart of disclosure specific embodiment；
Fig. 2 is disclosure specific embodiment using schematic diagram data needed for QFD analytical equipment；
Fig. 3 is that the result of decision of disclosure specific embodiment shows schematic diagram.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Examples of implementation one
The examples of implementation disclose a kind of cigarette machine data processing method towards intelligence manufacture, referring to figure 1,
Equipment traffic data first carries out scientific identification to equipment management information process data, specifies the data of equipment needs and answers
Use direction；Secondly device data capitalization carries out classification to characteristic, the element of device data and collects, establishes equipment operating data
Library, and carry out life cycle management；Then data application is intelligent, is counted, is analyzed to data by all kinds of tool methods
And excavation, form analysis decision result；Analysis decision result is applied to equipment management industry by ultimate analysis decision collaborative in time
Business instructs the optimizing of equipment management information, integrate and promoted, realization equipment management data and equipment management information it is effective
Collaboration.The invention patent can identify that current device manages existing weak link, and be commander's identification apparatus data with business,
Main line is turned to value the height that device data rises to assets is managed and is applied according to life cycle management theory, it is real
The maximization of existing device data value.
Specifically, the equipment traffic dataization include it is following step by step:
Step 11, clear equipment management information type and improvement direction；Step 12, using QFD analysis the methods of, clearly set
Data needed for standby management business.
Specifically, device data capitalization include it is following step by step: step 21, to required data carry out include acquire, answer
With, filing, processing and etc. life cycle management；Step 22 establishes the data guarantor for running through whole equipment data management processes
Barrier mechanism and the evaluation of data management level, reduce the risk of research achievement.
Specifically, data application intelligence include it is following step by step: step 31, to selected data carry out include data select
Take, data scrubbing, data integration, data transformation, data regularization and etc. pretreatment；Step 32, selection and application are different
Modeling method determines each model optimized parameter, by comparing each model performance, selects ideal mathematics model；Step 33, Quan Mianping
Valence model performance and effect, analysis model risk；Step 34, moving model form final data analysis decision result.
Specifically, analysis decision collaborative include it is following step by step: step 41, in conjunction with self-building reality and research contents
Specific service application, select deployment region, preference pattern carrying platform；Step 42, according to analysis decision result to equipment pipe
Reason business carries out specific aim improvement, instructs the optimizing of equipment management information, integrate and promoted, realize equipment management data and
Effective collaboration of equipment management information.
Case history:
The present embodiment answers the physical device data of certain cigar mill ZJ112 cigarette machine using data value ring theory
With constructing the cigarette machine differentiation based on data, intelligently wheel protects strategy.
One, equipment traffic data
Equipment management information type clear first and improvement direction.The discovery of analytical equipment management status, existing equipment maintenance
The content of strategy is often unalterable, but the fault state of equipment is really not so.In order to take all possibility of equipment fault into account
Property, comprehensive maintenance strategy empirically can only be used to equipment, the phenomenon that this has resulted in excessive maintenance, run counter to lean
Change the requirement of equipment management.The fault state of equipment can be directly reflected on device data under normal circumstances, by these numbers
According to being analyzed, comprehensive evaluation model is formulated, equipment is can be effectively solved and whether needs maintenance, needs which position of maintenance etc.
Critical issue realizes maintenance content deltas, reaches the requirement of lean equipment management, therefore the present embodiment is to establish based on number
According to ZJ112 cigarette machine differentiation intelligently wheel protects strategy, lifting means maintenance management professional skill.
Then in conjunction with the acquisition situation of device data in equipment industrial personal computer, PLC, using QFD analysis method shown in Fig. 2 to this
Data application business is analyzed, data needed for specifying the present embodiment intelligently wheel protecting strategy be million MAX smokes block numbers,
Million MAX smoke blocking durations, million MAX washboard blocking numbers, million MAX washboard blocking durations, million SE are disconnected
Paper number, million SE break, and paper duration, million SE run a number, million SE run a duration, million SE manual shut-downs
Number, million SE manual shut-down durations, million downstream machine machine stop times, million downstream machines shut down duration, Bai Wanzhi
Quantity, million are picked out in kick the beam quantity, million overweight quantity, million nominal quantity, million blow-by amounts, million light end
The hungry stick quantity of branch, million soft spots quantity, million hard spot quantity, million total rejecting amounts, million total machine stop times, hundred
Ten thousand total shutdown durations, million spare parts consumption expenses, million current anomaly numbers, yield, circumference cp compliance rate, circumference K
Compliance rate, length cp compliance rate, length K compliance rate, weight cp compliance rate, weight K compliance rate etc..
Two, device data capitalization
First to required data carry out include acquisition, application, filing, processing and etc. life cycle management.
Data acquisition includes determining acquisition target, establishing acquisition specification, selection network communication protocol, determination in the present embodiment
Data storage architectures, records store data, determines the storage period at building data storage physical model.Main has:
Number based on PLC or DCS adopts scheme, the acquisition scheme based on independent acquisition module and synthetical collection scheme etc..
Data application includes data preparation, modeling, assessment in the present embodiment, utilizes the various kinds of equipment number of acquisition
According to the modes such as showing by statistical analysis, mathematical modeling, visualization and analyzed and used, to instruct or support cigarette factory
The business of equipment management.
Data filing includes formulating data filing to require, formulate data filing mode, according to made fixed number in the present embodiment
According to archive mode, formulates the management method of filing data, executes data filing, filing data management.
In the present embodiment data processing include formulate processing according to, determine processing method, data processing verifying, auxiliary with it is strong
Change processing and etc..
Then it establishes through the Data safeguard mechanism of whole equipment data management processes and manually commenting for data management level
Valence mechanism reduces the risk of research achievement.
The present embodiment carries out device data in terms of data safety management and quality management two and ensures management.By successively thin
Change, from physical security, network security, host system safety, application be safe, data safety and Backup and Restore, safety management system,
Seven aspect hoc apparatus data safety safeguards such as emergency preplan management are formulated referring to national industry data safety standard
Safety guarantee requirement；Equipment is faced from data quality management intension, quality testing angle, data quality management method tripartite
Data quality management conducts a research, by successively refining, data quality management content of enriching constantly.
The present embodiment is according to device data management mechanism, Informationized plan and operation conditions, device data management technology, number
According to security mechanism, the relevant technologies, five aspect tissue progress device data management levels of level are commented in conjunction with service application project
Valence, as shown in table 1.
1 device data management assessment of levels table of table
Three, data application is intelligent
The present embodiment carries out data decimation to data needed for ZJ112 unit equipment first, if there is m equipment to be evaluated, n are commented
Device data is then arranged the raw data matrix for becoming m row n column by valence index, is become by data scrubbing, data integration, data
Change, data regularization and etc. pretreatment, ultimately form normalization data matrix.
Secondly different modeling methods is selected and applied, determines each model optimized parameter, by comparing each model performance, choosing
Select ideal mathematics model.The present embodiment is using analytic hierarchy process (AHP), comprehensive evaluation, entropy assessment, mathematics method, space correlation point
The multi-modelings methods such as analysis, matter-element model, TOPSIS model carry out model construction, final to determine knot by comparing model performance
It closes entropy assessment and assigns the advantage that power is objective and the sequence evaluation of TOPSIS model is objective, determine all data index by using entropy assessment
Weight, and the final score of each equipment to be evaluated is calculated using TOPSISI method building evaluation model, according to final score result and
The score of all data index, it can be found that the shortcoming of equipment, and bonding apparatus fault tree automatically forms corresponding wheel and protects
Strategy.
Then thoroughly evaluating model performance and effect, analysis model risk.The present embodiment by historical data to model into
It goes and verifies, it was demonstrated that wheel guarantor's project can ensure equipment operation level when including evaluation result, it was demonstrated that model has centainly feasible
Property and reliability, can effectively instruct wheel protect work formulation.
Last moving model forms final data analysis decision result.Latest equipment data are substituted into wheel and protected by the present embodiment
Decision model is calculated, and the comprehensive score of each board of ZJ112 unit and the subitem score of each index are obtained, and can be protected according to wheel
Strategy forms data analysis-decision system result.
Four, analysis decision collaborative
It combines self-building practical first and the specific service application of research contents, selects deployment region, preference pattern is held
Carrying platform.The present embodiment combines certain cigar mill's information construction practical, and analysis decision result is integrated in equipment complex information platform
On, it is shown by visualized graph interfaces such as histograms, as shown in Figure 3.
Then according to analysis effectively collaboration.In the present embodiment, equipment management personnel can be formulated corresponding according to the result of decision
Equipment wheel protects plan, and the result of decision is combined to carry out specific aim improvement to equipment management information, instructs the excellent of equipment management information
Change perfect, integration and promoted, the Fault tree of realization equipment management data and equipment management information is further formulated detailed
Equipment wheel protects content, and lifting means maintenance management lean is horizontal.
Examples of implementation two
The disclosure also discloses a kind of device data processing system towards intelligence manufacture, and it is real that the system is based on server
It is existing, comprising:
Equipment traffic data module, is configured as: it is based on cigarette machine management business type, using QFD analysis method,
Data needed for determining cigarette machine management business；
Device data capitalization module, is configured as: carrying out classification to characteristic, the element of cigarette machine data and collects, builds
Vertical cigarette machine operation data library, and carry out life cycle management；
Data application intellectualized module, is configured as: carrying out including data decimation, number to cigarette machine data collected
According to cleaning, data integration, data transformation, the pretreatment of data regularization；Different modeling methods is selected and applied, determines each model
Optimized parameter selects ideal mathematics model by comparing each model performance；Pretreated data are input to selected mould
Type is exported as a result, based on output result thoroughly evaluating model performance and effect；Moving model forms final data analysis
The result of decision；
Analysis decision collaborative module, is configured as: in conjunction with the specific service application of cigarette machine, deployment region is selected,
Preference pattern carrying platform；Equipment management information is improved according to analysis decision result, equipment management data is realized and sets
Effective collaboration of standby management business data.
Examples of implementation three
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, which is characterized in that the processor realizes a kind of cigarette machine towards intelligence manufacture when executing described program
The step of data processing method.
In the examples of implementation, referring specifically to reality the step of a kind of cigarette machine data processing method towards intelligence manufacture
Example one is applied, is no longer described in detail herein.
Examples of implementation four
A kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The step of a kind of cigarette machine data processing method towards intelligence manufacture is realized when execution.
In the examples of implementation, referring specifically to reality the step of a kind of cigarette machine data processing method towards intelligence manufacture
Example one is applied, is no longer described in detail herein.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of cigarette machine data processing method towards intelligence manufacture, the method is realized based on server, characterized in that
The following steps are included:
Equipment traffic data: cigarette machine management is determined using QFD analysis method based on cigarette machine management business type
Cigarette machine data needed for business；
Device data capitalization: classification is carried out to characteristic, the element of cigarette machine data and is collected, cigarette machine operation data is established
Library, and carry out life cycle management；
Data application is intelligent: pre-processing to cigarette machine data collected；Select ideal mathematics model；It will pretreatment
Data afterwards are input to selected model, are exported as a result, based on output result thoroughly evaluating model performance and effect；Fortune
Row model forms final data analysis decision result；
Analysis decision collaborative: in conjunction with the specific service application of cigarette machine, deployment region, preference pattern carrying platform are selected；
Equipment management information data are fed back to according to analysis decision result, realize cigarette machine management data and equipment management information data
Effective collaboration.
2. a kind of cigarette machine data processing method towards intelligence manufacture as described in claim 1, characterized in that for volume
Smoke machine equipment obtains the operation data of cigarette making machine equipment, is commented using comprehensive evaluation model cigarette making machine equipment operating status
Valence, judges whether cigarette making machine equipment needs the position of maintenance and maintenance.
3. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 2, characterized in that cigarette machine
Equipment is respectively connected to equipment industrial personal computer, PLC, and equipment industrial personal computer, PLC acquire the number in cigarette making machine equipment operational process respectively
According to QFD analysis method is analyzed, and data needed for clear intelligence wheel protects strategy are that million MAX smokes block number, Bai Wanzhi
MAX smoke block duration, million MAX washboards blocking numbers, million MAX washboards blocking durations, million SE break paper number,
Million SE break, and paper duration, million SE run a number, million SE run a duration, million SE manual shut-down numbers, million
Branch SE manual shut-down duration, million downstream machine machine stop times, million downstream machines shut down duration, million numbers that kick the beam
Amount, million overweight quantity, million nominal quantity, million blow-by amounts, million light end pick out quantity, million it is hungry
Stick quantity, million soft spots quantity, million hard spot quantity, million total rejecting amounts, million total machine stop times, million it is total
Shut down duration, million spare parts consumption expenses, million current anomaly numbers, yield, circumference cp compliance rate, circumference K compliance rate,
Length cp compliance rate, length K compliance rate, weight cp compliance rate and weight K compliance rate.
4. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 3, characterized in that QFD points
Analysis method is analyzed specifically: the equipment operating data of obtained cigarette making machine equipment and appliance services management measure is related
Connection, obtains every class equipment operating data and the correlation between appliance services management measure correlation and equipment operating data.
5. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 3, characterized in that cigarette is set
When standby data are acquired, it is thus necessary to determine that acquisition target establishes acquisition specification, selects network communication protocol, determines that data are deposited
It stores up framework, building data storage physical model, records store data and determines the storage period.
6. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 3, characterized in that cigarette is set
The management of standby operation data includes data safety management and quality management, utilizes the device data management assessment of levels table reality of foundation
Now to the management of cigarette machine operation data.
7. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 3, characterized in that for volume
Cigarette equipment, if there is m equipment to be evaluated, device data is then arranged the raw data matrix for becoming m row n column by n evaluation index,
By data scrubbing, data integration, data transformation, the pretreatment of data regularization step, normalization data matrix is ultimately formed.
8. a kind of cigarette machine data processing method towards intelligence manufacture as claimed in claim 7, characterized in that formation is returned
After one changes data matrix, different modeling methods is selected and applied, determines each model optimized parameter, by comparing each model
Can, select ideal mathematics model；
Determine that combining entropy assessment tax to weigh the sequence of objective and TOPSIS model evaluates objective advantage, determines respectively by using entropy assessment
The weight of item data index, and the final score that evaluation model calculates each equipment to be evaluated is constructed using TOPSISI method, according to final
The score of scores and all data index, the shortcoming of discovering device, and bonding apparatus fault tree automatically forms accordingly
Wheel protect strategy；
Then analysis model risk: thoroughly evaluating model performance and effect are verified model by historical data, it was demonstrated that wheel
Guarantor's project can ensure equipment operation level when including evaluation result；
Last moving model forms final data analysis decision result: latest equipment data being substituted into wheel and protect decision model progress
It calculates, the comprehensive score of each board of cigarette machine unit and the subitem score of each index, strategy can be protected according to wheel and form data
Analysis decision result.
9. a kind of device data processing system towards intelligence manufacture, the system is realized based on server, characterized in that packet
It includes:
Equipment traffic data module, is configured as: being based on cigarette machine management business type, using QFD analysis method, determines
Data needed for cigarette machine management business；
Device data capitalization module, is configured as: carrying out classification to characteristic, the element of cigarette machine data and collects, establishes volume
Cigarette equipment operating data library, and carry out life cycle management；
Data application intellectualized module, is configured as: carrying out including that data decimation, data are clear to cigarette machine data collected
Reason, data integration, data transformation, the pretreatment of data regularization；Different modeling methods is selected and applied, determines that each model is optimal
Parameter selects ideal mathematics model by comparing each model performance；Pretreated data are input to selected model,
It is exported as a result, based on output result thoroughly evaluating model performance and effect；Moving model forms final data analysis decision
As a result；
Analysis decision collaborative module, is configured as: in conjunction with the specific service application of cigarette machine, selecting deployment region, selection
Model carrying platform；Equipment management information is improved according to analysis decision result, realizes equipment management data and equipment pipe
Manage effective collaboration of business datum.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realized when executing described program claim 1-8 it is any it is described it is a kind of towards
The step of cigarette machine data processing method of intelligence manufacture.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110677328A (en) * | 2019-11-13 | 2020-01-10 | 河南中烟工业有限责任公司 | System and method for diagnosing cigarette factory cigarette packet data |
| CN117909200A (en) * | 2024-03-19 | 2024-04-19 | 中国电子科技集团公司第十研究所 | Method, equipment and system for incremental comparison and evaluation of capability of information guarantee system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007029248A1 (en) * | 2007-06-25 | 2009-01-08 | Abb Research Ltd. | Forecast-data e.g. life span data, determining method for e.g. wear-afflicted machine, involves updating forecast-data considering actual process data such that updated process information is provided as maintenance and measurement data |
| CN107133402A (en) * | 2017-05-03 | 2017-09-05 | 山东中烟工业有限责任公司 | A kind of cigarette machine differentiation wheel based on entropy weight TOPSIS methods protects method |
| CN107967521A (en) * | 2017-10-31 | 2018-04-27 | 河南中烟工业有限责任公司 | A kind of equipment complex method of evaluating performance |
| CN108038626A (en) * | 2017-12-27 | 2018-05-15 | 山东中烟工业有限责任公司 | A kind of cigarette machine Life cycle monitoring system and monitoring method |
| CN109034483A (en) * | 2018-08-01 | 2018-12-18 | 西安交通大学 | A kind of inspection planning method based on quality function deploying |
-
2019
- 2019-05-17 CN CN201910412180.7A patent/CN110262409A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102007029248A1 (en) * | 2007-06-25 | 2009-01-08 | Abb Research Ltd. | Forecast-data e.g. life span data, determining method for e.g. wear-afflicted machine, involves updating forecast-data considering actual process data such that updated process information is provided as maintenance and measurement data |
| CN107133402A (en) * | 2017-05-03 | 2017-09-05 | 山东中烟工业有限责任公司 | A kind of cigarette machine differentiation wheel based on entropy weight TOPSIS methods protects method |
| CN107967521A (en) * | 2017-10-31 | 2018-04-27 | 河南中烟工业有限责任公司 | A kind of equipment complex method of evaluating performance |
| CN108038626A (en) * | 2017-12-27 | 2018-05-15 | 山东中烟工业有限责任公司 | A kind of cigarette machine Life cycle monitoring system and monitoring method |
| CN109034483A (en) * | 2018-08-01 | 2018-12-18 | 西安交通大学 | A kind of inspection planning method based on quality function deploying |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110677328A (en) * | 2019-11-13 | 2020-01-10 | 河南中烟工业有限责任公司 | System and method for diagnosing cigarette factory cigarette packet data |
| CN117909200A (en) * | 2024-03-19 | 2024-04-19 | 中国电子科技集团公司第十研究所 | Method, equipment and system for incremental comparison and evaluation of capability of information guarantee system |
| CN117909200B (en) * | 2024-03-19 | 2024-06-11 | 中国电子科技集团公司第十研究所 | Method, equipment and system for incremental comparison and evaluation of capability of information guarantee system |
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