CN106227039B - A kind of tea-processing equipment control method based on pattern-recognition - Google Patents
A kind of tea-processing equipment control method based on pattern-recognition Download PDFInfo
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- CN106227039B CN106227039B CN201610716235.XA CN201610716235A CN106227039B CN 106227039 B CN106227039 B CN 106227039B CN 201610716235 A CN201610716235 A CN 201610716235A CN 106227039 B CN106227039 B CN 106227039B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000003909 pattern recognition Methods 0.000 title claims abstract description 17
- 238000005457 optimization Methods 0.000 claims abstract description 5
- 238000013499 data model Methods 0.000 claims description 16
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 239000004615 ingredient Substances 0.000 claims 1
- 241001122767 Theaceae Species 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012567 pattern recognition method Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
Classifications
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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
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Tea And Coffee (AREA)
Abstract
The tea-processing equipment control method based on pattern-recognition that the present invention provides a kind of, includes the following steps: that a. establishes model；B. data are obtained；C. optimal possible outcome is compared；D. optimization control parameter is obtained；E. control parameter is compared；F. control parameter is adjusted.The present invention passes through real-time pattern-recognition and adjusts control parameter, can effectively be adjusted to tea processing process, and the control parameter of process equipment is adjusted to most suitable as a result, to greatly promote quality of finished in time.
Description
Technical field
The tea-processing equipment control method based on pattern-recognition that the present invention relates to a kind of.
Background technique
In the prior art, the control of tea-processing equipment is artificial setting control parameter mostly, and this mode needs greatly
Amount is attempted, and rule of thumb judges to adjust, and on the one hand adjustment is not in time easy to cause defect rate high to this mode, on the other hand
Also it is easy to process the good raw material of quality as more secondary material.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of tea-processing equipment controlling party based on pattern-recognition
Method is somebody's turn to do the tea-processing equipment control method based on pattern-recognition and passes through real-time pattern-recognition and adjust control parameter, can have
Effect is adjusted tea processing process, and the control parameter of process equipment is adjusted to most suitable as a result, to pole in time
Big promotion quality of finished.
The present invention is achieved by the following technical programs.
A kind of tea-processing equipment control method based on pattern-recognition provided by the invention, includes the following steps:
A. it establishes model: by historical data, establishing odour component → quality grading and control parameter → quality results
Data model, and quality grading database is established to possible odour component under each quality grading；
B. data are obtained: obtaining current tealeaves odor data, and attached current control parameter from multiple groups gas sensor；
C. it compares optimal possible outcome: current tealeaves odor data is carried out with odour component → quality grading data model
Pattern-recognition, and will identify that the quality comparison quality grading database come, judge the highest quality grading most possibly reached；
D. obtain optimization control parameter: according to control parameter → quality results model, inverse operation obtains corresponding to above-mentioned possibility
The control parameter of the highest quality grading reached；
E. it compares control parameter: the current control parameter in control parameter obtained in step d, with step b is carried out pair
Than；
F. it adjusts control parameter: comparing result being sent to the corresponding process equipment of control parameter, and is entered step again
B, until end is turned off manually.
Odour component → quality grading and control parameter → quality results data model are established in the step a, be
It is carried out on computer, and the step of single-chip microcontroller is with after completing is written into established data model.
The data model of the odour component → quality grading is by the BP neural network algorithm of three hidden layers by 5 instructions
Practice and establishes.
The control parameter → quality results model is polynary once linear equation.
The beneficial effects of the present invention are: pass through real-time pattern-recognition and adjusts control parameter, it can be effectively to tealeaves
Process is adjusted, and the control parameter of process equipment is adjusted to most suitable as a result, to greatly be promoted into time
Product quality.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
Be described further below technical solution of the present invention, but claimed range be not limited to it is described.
A kind of tea-processing equipment control method based on pattern-recognition as shown in Figure 1, includes the following steps:
A. it establishes model: by historical data, establishing odour component → quality grading and control parameter → quality results
Data model, and quality grading database is established to possible odour component under each quality grading；
B. data are obtained: obtaining current tealeaves odor data, and attached current control parameter from multiple groups gas sensor；
C. it compares optimal possible outcome: current tealeaves odor data is carried out with odour component → quality grading data model
Pattern-recognition, and will identify that the quality comparison quality grading database come, judge the highest quality grading most possibly reached；
D. obtain optimization control parameter: according to control parameter → quality results model, inverse operation obtains corresponding to above-mentioned possibility
The control parameter of the highest quality grading reached；
E. it compares control parameter: the current control parameter in control parameter obtained in step d, with step b is carried out pair
Than；
F. it adjusts control parameter: comparing result being sent to the corresponding process equipment of control parameter, and is entered step again
B, until end is turned off manually.
As a result, by the pattern-recognition of gas data, and recognition result is compared, to be carried out timely to control
Optimization, finally can quickly and effectively be adjusted tea processing process.
Specifically, establishing odour component → quality grading and control parameter → quality results data in the step a
Model is to carry out on computers, and the step of single-chip microcontroller is with after completing is written in established data model.
The data model of the odour component → quality grading is by the BP neural network algorithm of three hidden layers by 5 instructions
Practice and establishes.
The control parameter → quality results model is polynary once linear equation.
Claims (4)
1. a kind of tea-processing equipment control method based on pattern-recognition, characterized by the following steps:
A. it establishes model: by historical data, establishing odour component → quality grading and control parameter → quality results data
Model, and quality grading database is established to possible odour component under each quality grading；
B. data are obtained: obtaining current tealeaves odor data, and attached current control parameter from multiple groups gas sensor；
C. it compares optimal possible outcome: mode is carried out with odour component → quality grading data model to current tealeaves odor data
Identification, and will identify that the quality comparison quality grading database come, judge the highest quality grading most possibly reached；
D. obtain optimization control parameter: according to control parameter → quality results data model, inverse operation obtain corresponding to it is above-mentioned can
The control parameter of attainable highest quality grading；
E. it compares control parameter: the current control parameter in control parameter obtained in step d, with step b is compared；
F. it adjusts control parameter: comparing result being sent to the corresponding process equipment of control parameter, and enters step b again, directly
Terminate to being turned off manually.
2. the tea-processing equipment control method based on pattern-recognition as described in claim 1, it is characterised in that: the step
Odour component → quality grading and control parameter → quality results data model are established in a, are to carry out on computers, and will build
The step of data model write-in single-chip microcontroller stood is with after completing.
3. the tea-processing equipment control method based on pattern-recognition as described in claim 1, it is characterised in that: the smell
Ingredient → quality grading data model is established by the BP neural network algorithm of three hidden layers by 5 training.
4. the tea-processing equipment control method based on pattern-recognition as described in claim 1, it is characterised in that: the control
Parameter → quality results data model is polynary once linear equation.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610716235.XA CN106227039B (en) | 2016-08-24 | 2016-08-24 | A kind of tea-processing equipment control method based on pattern-recognition |
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|---|---|---|---|
| CN201610716235.XA CN106227039B (en) | 2016-08-24 | 2016-08-24 | A kind of tea-processing equipment control method based on pattern-recognition |
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| Publication Number | Publication Date |
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| CN106227039A CN106227039A (en) | 2016-12-14 |
| CN106227039B true CN106227039B (en) | 2019-07-09 |
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| CN201610716235.XA Active CN106227039B (en) | 2016-08-24 | 2016-08-24 | A kind of tea-processing equipment control method based on pattern-recognition |
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Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU5418699A (en) * | 1998-08-17 | 2000-03-14 | Unilever Plc | Treatment of tea with carbone dioxide |
| CN101303297B (en) * | 2008-06-20 | 2010-08-11 | 中国农业科学院茶叶研究所 | Method for recognizing process raw material varieties of product tea |
| CN101419166A (en) * | 2008-11-18 | 2009-04-29 | 江苏大学 | Tea quality nondestructive detecting method and device based on near-infrared spectrum and machine vision technology |
| CN101692052B (en) * | 2009-08-31 | 2012-05-23 | 江苏大学 | Hyperspectrum image technique-based method and hyperspectrum image technique-based device for identifying true and false famous tea |
| CN101692053B (en) * | 2009-10-09 | 2012-01-18 | 江苏大学 | Multi-sensing information fusion based instrumental intelligent evaluation method for quality of famous tea |
| CN103487558B (en) * | 2013-07-30 | 2016-10-12 | 中国标准化研究院 | A kind of method detecting exceptional sample during the pattern recognition analysis applying intelligent sensory signal to carry out tea leaf quality |
-
2016
- 2016-08-24 CN CN201610716235.XA patent/CN106227039B/en active Active
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| CN106227039A (en) | 2016-12-14 |
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