CN205827216U - Article one, the intelligent green tea production line of bi-fuzzy control - Google Patents
Article one, the intelligent green tea production line of bi-fuzzy control Download PDFInfo
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- CN205827216U CN205827216U CN201620349526.5U CN201620349526U CN205827216U CN 205827216 U CN205827216 U CN 205827216U CN 201620349526 U CN201620349526 U CN 201620349526U CN 205827216 U CN205827216 U CN 205827216U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
Article one, the intelligent green tea production line of bi-fuzzy control, is made up of feed mechanism, connecting gear, the mechanism that completes, carding machine structure, drying mechanism, power transmission mechanism, actuator, PLC, bi-fuzzy control system, data Collection & Processing System, Labview host computer real-time monitoring system etc..Bi-fuzzy control system fading margin completes, reason bar, dry rotating speed and the temperature of motor, the power transmission of frequency conversion motor is exported by power transmission mechanism, completing of whole piece green tea production line, reason bar, drying mechanism all uses fuzzy control, green-keeping machine, carding machine, dehydrator each link temperature uses fuzzy-adaptation PID control, solve Tea Processing temperature, throw leaf amount and complete, reason bar, the problem that drying time coordinates in real time, input different grades of, the fresh leaf of Different Weight can export the temperature and time that completes adapted, realize the accurate control of Tea Production process, reduce the interference of anthropic factor, realize the intelligent production of green tea.
Description
Technical field
This utility model relates to a tea production line, more specifically for, relate to a strip adoption bi-fuzzy control system
Intelligent green tea production line.
Background technology
Green tea is the tea made without fermentation procedure, with fresh leaf of Camelliae sinensis as raw material, through spreading, completes, and manages bar shaping, is dried
The Folium Camelliae sinensis being made etc. typical process, remains the natural materials of fresh leaf, the battalion such as the tea polyphenols that contains, catechin, aminoacid
Forming point the most more, these natural nutrition compositions in green tea have special-effect to anti-aging, anticancer, sterilization etc., are other
Less than teas, therefore, green tea market is the most wide.According to the specific requirement of green tea production process, Tea Processing controls system
System coordinate operation of each equipment of whole production line to be realized while completing each device parameter is accurately controlled.But China
Overall Tea Processing level is also in traditional semi-hand, semi-mechanization level segment, and most of Tea Processing enterprises are positioned at more
Near tea place, belonging to remote mountain areas, machine for processing tea, based on unit operation, is formed without continuous prodution, causes processing
Relatively costly；Additionally, the intelligence degree of machine for processing tea is low, controlling Folium Camelliae sinensis in the course of processing can only be with in the quality of goods
Sensation and the experience of operator are grasped, and randomness is relatively big, is difficult to make tea leaf quality reach consistent.Existing tea-processing equipment
Technological parameter, particularly temperature during Tea Processing control inaccurate, throw leaf amount and complete, manage bar, drying time
Coordinating unreasonable, cause Folium Camelliae sinensis standardized production difficulty big, tea quality is difficult to ensure that, added value can not get embodying, it is difficult to big
Scale is promoted.Although additionally, fuzzy control has obtained using widely on tea production line, but being substantially based on certain all one's life
Produce the temperature regulation of link (such as completing), the most fuzzy control is not used for whole piece tea production line, it is impossible to accomplish Folium Camelliae sinensis is added
Carefully and neatly done complete equipment entirety carries out fuzzy control, realizes green tea intellectuality production.
Utility model content
The purpose of this utility model there are provided one, in all round process of green tea, complete equipment used bimodulus
The intelligent green tea production line that fuzzy control system controls, owing to the processing equipment of each link of whole tea production line all uses bimodulus
Sticking with paste and control, the temperature at each control point of the operation such as bar, drying that completes, manages controls all to add fuzzy-adaptation PID control, can be well
Solve the accurate control problem of Tea Processing temperature, and throw leaf amount and complete, manage the relevant parameter such as bar, drying time and join in real time
The problem closed, it is achieved the accurate control of Tea Production process, can guarantee that the whole course of processing all in the state of constant temperature,
Reduce the interference of anthropic factor, it is ensured that the quality of Folium Camelliae sinensis industrialized production.
This utility model is achieved by the following technical solution:
Including: feed mechanism, connecting gear, the mechanism that completes, carding machine structure, drying mechanism, power transmission mechanism, execution machine
Structure, PLC, bi-fuzzy control system, data collecting system, Labview host computer real-time monitoring system etc., described feeding
Mechanism completes the side of mechanism described in being arranged at, and described connecting gear is used for connecting described carding machine structure and drying mechanism, described
Actuator includes that motor and heater, described motor complete mechanism, carding machine structure, dehydrator described in being separately mounted to
Bottom structure, feed mechanism, connecting gear, described heater be separately mounted to described in complete mechanism, carding machine structure and dehydrator
In structure outer wall.Described data collecting system includes detecting device, signal regulating device, capture card and host computer procedure, described inspection
Surveying device to be made up of temperature sensor, LOAD CELLS, described temperature sensor uses multimetering, and described LOAD CELLS is solid
Being scheduled on bottom described green-keeping machine, described capture card connects described signal regulating device and described host computer, described PLC control system
And converter is fixed in independent regulator cubicle, completes described in regulate, manage turning of each described motor bottom bar, drying mechanism
The temperature of fast and described complete, manage bar, drying mechanism, it is defeated that the power of described motor is carried out transmission by described power transmission mechanism
Go out, described feed mechanism, the mechanism that completes, carding machine structure, drying mechanism, detection device, converter, heater, data collecting card,
Host computer Labview is all connected with described PLC control system.
Further, described converter connects analog output module EM232 output frequency signal by PLC, controls each electricity
Motivation rotating speed.
Further, the temperature detection of described detection device uses Pt100 to become through temperature as temperature element, output resistance
Send device to be converted into magnitude of voltage, then access described data collecting card；The weight detecting of described detection device uses LOAD CELLS, and
Curve of output is carried out linear compensation, accurately measures and throw leaf amount.
Further, described heater uses U-shaped dry-burning type to add heat pipe, is evenly arranged in described green-keeping machine barrel and reason bar
Bottom machine, dehydrator, solid-state relay controlling break-make, temperature uses fuzzy regulation and control, whole device be in one constant
In temperature.
Further, described capture card is connected with described host computer, is used for reading described temperature and weight sensor detected value.
Further, described host computer Labview and described PLC control module are by serial communication, output fuzzy regulation and control
Pulse and the output of system ambiguous control.
Further, described host computer procedure is write by Labview, and including parameter setting module, setting completes, manages bar and baking
The temperature that the fuzzy temperature PID of dry link controls, is manually entered fresh leaf grade, fixation effect and reason bar effect；Data acquisition
Module, continuous acquisition completes the fresh leaf weight in mechanism and the real time temperature signal of each point for measuring temperature temperature sensor；；Data process
Module, is converted into voltage signal the signal collected；Data disaply moudle, shows each real-time monitoring at host computer display interface
Data；Green-keeping machine, carding machine, fuzzy control model, respectively to complete, manage bar and dry link carry out bi-fuzzy control；Serial ports
Communication module, fuzzy regulation and control pulse and the output of system ambiguous control that host computer is exported by serial mode are sent to PLC
Controller；Data storage module, the storage all of Monitoring Data of production link and control parameter, in case inquiry.
Further, described design of Fuzzy Controller is real by the PID and Fuzzy Logic Toolkit in Labview
Existing.
Further, described green tea production line bi-fuzzy control system refers to the bar that described completes, manages, dries three mechanisms and divide
Not carrying out bi-fuzzy control, the link that i.e. completes fuzzy control and fuzzy temperature PID control, manage bar link fuzzy control and temperature mould
Sticking with paste PID to control and dry link fuzzy control to control with fuzzy temperature PID, the process that realizes of fuzzy control mainly includes obscuring
Change, fuzzy reasoning, decision-making and de-fuzzy three parts, the input quantity collection that decision system controls is by described NI data collecting card
Realizing with the data collecting system of described Labview host computer procedure composition, decision system controls the execution of output by west gate
The control system of sub-PLC composition realizes.
This utility model provides the green tea production line of a kind of bi-fuzzy control, three links produced green tea respectively to carry out
Fuzzy control, relates to the technical fields such as data acquisition, fuzzy control, Tea Processing, is the biggest to Folium Camelliae sinensis intelligent machining
Gallbladder is attempted, owing to creatively whole Green Tea Processing production line entirety being carried out fuzzy control technology, and can be to the full life of Folium Camelliae sinensis
The parameter of each link of product process is configured on the whole, and the input at production line inputs different grades of, different quality
Fresh leaf after, by the process of Intelligent Fuzzy Control system, the temperature and time that completes adapted can be exported, different completes
Effect also can the different reason bar frequency of Auto-matching, reason bar time, the most effectively solve Tea Processing by anthropic factor shadow
Ring and bring the probabilistic problem of tea leaf quality.
Accompanying drawing explanation
Fig. 1 is the green tea production line main mechanical provided in this utility model embodiment and annexation signal thereof
Figure；
Fig. 2 is the green tea production line control system figure provided in this utility model embodiment；
Fig. 3 is the host computer procedure interface provided in this utility model embodiment；
Fig. 4 be this utility model embodiment provides complete, manage bar, drying mechanism structure of fuzzy controller figure；
Fig. 5 is the fuzzy temperature PID controller structure chart provided in this utility model embodiment；
Fig. 6 is the link fuzzy control rule that completes provided in this utility model embodiment；
Fig. 7 is the reason bar link fuzzy control rule provided in this utility model embodiment；
Fig. 8 is the drying link fuzzy control rule provided in this utility model embodiment.
Detailed description of the invention
Below in conjunction with drawings and the embodiments, this utility model is described in further detail.
As it is shown in figure 1, whole green tea production line mechanical part by the mechanism 1 that completes, carding machine structure 2, drying mechanism 4 and transmits
Mechanism 3 forms, and Folium Camelliae sinensis is carried in the course of processing step by step, and fresh leaf is introduced into the mechanism that completes, then sequentially enters carding machine structure,
Rear entrance drying mechanism.
As shown in Figure 2,3, the control system of described green tea production line is by data collection and control system hardware and host computer
Program two parts form, and wherein said data acquisition hardware part includes that temperature sensor 7, LOAD CELLS 5, signal condition set
Standby, NI data collecting card, described temperature sensor detects that temperature signal is converted into voltage signal through signal condition equipment, then
It is communicatively connected to described host computer by described data collecting card；Described control system hardware includes Siemens S7-200PLC control
Device 9, analog output module, converter, motor, solid-state relay, heater, host computer completes electronic by serial ports output
Unit frequency controls parameter, temperature regulation pulse, and reason bar motor frequency controls parameter, temperature regulation pulse, dries motor frequency
Rate controls parameter, temperature regulation pulse 8 and is transferred to described Siemens S7-200PLC controller 9, and described PLC 9 is passed through
Analog output module EM232 output frequency control signal gives described converter, and controls described each motor 10 rotating speed, output
Pulse is in order to control solid-state relay 11, so that completing, managing bar, drying each mechanism temperature approximately constant in setting value；Upper
Machine program include data acquisition, input, read, display subroutine, complete, manage bar, dry link bi-fuzzy control subprogram, string
Port communications subprogram and data preserve subprogram.Front panel includes being manually entered 12,13 and showing 14 liang of big modules in real time.
The design of fuzzy controller mainly includes obfuscation, fuzzy reasoning and de-fuzzy three parts as shown in Figure 4,5,
The data collecting system that the input of described fuzzy controller is mainly made up of NI data collecting card and Labview host computer procedure carries
Confession, the control system that the output of described fuzzy controller is made up of SIEMENS PLC realizes.Design of Fuzzy Controller includes green-keeping machine
Structure fuzzy control obscures with reason bar Temperature Fuzzy Control, drying mechanism with the Temperature Fuzzy Control that completes, carding machine structure fuzzy control
Control and dry Temperature Fuzzy Control.The design of complete, manage bar, drying mechanism and temperature fuzzy controller is described in detail below,
What fuzzy decision realized comprises the following steps that (introducing as a example by the link that completes):
In the mechanism that completes detected in some cycles, Folium Camelliae sinensis weight and tea grades are as Fuzzy Decision Control system
Input, tea grades uses 0-100 marking system manual entry system；
The Folium Camelliae sinensis weight and the tea grades that record in above-mentioned steps (1) are carried out obfuscation according to triangular membership functions；
The fuzzy vector drawn in above-mentioned steps (2) is made inferences according to fuzzy reasoning table, the temperature that obtains completing, completes
The fuzzy control output vector of time；
Two output fuzzy control vector maximum average value methods in above-mentioned steps (3) are carried out ambiguity solution；
The frequency that fixation time is converted into motor by functional relationship is sent to PLC control electricity by serial ports
Machine rotating speed, the desired temperature that the temperature that completes of output will be controlled as fuzzy temperature PID, the temperature detected with sensor
Actual value compares, and obtains defeated as fuzzy temperature PID control system of temperature deviation value E and temperature deviation rate of change EC
Enter, obtain ratio (P), differential (I), the fuzzy control output vector of integration (D) in above-mentioned (2), (3) step, and with maximum flat
All methods carry out ambiguity solution and obtain the exact value input as PID controller, thus regulate the pulse of PID controller output.
1, the link that completes design of Fuzzy Controller
In some cycles in the cylinder that completes of detection fresh leaf weight and fresh leaf grade to set up triangular membership functions method as follows:
Fresh leaf grade and fresh leaf weight be respectively adopted 5 elements fuzzy subset 0-20 (A), 20-40 (B), 40-60 (C),
60-80 (D), 80-100 (E) } and 5 elements fuzzy subset few (S), in few (MS), in (M), in many (MB), many (B) carry out
Obfuscation.
Further, fresh leaf is evaluated according to projects such as shade, glossiness light and shade, the thickness of texture and the shapes of fresh leaf
Old tender degree, set up complete rule as follows:
(1) fresh leaf is the tenderest, measures the most, then the temperature that completes is the highest, and fixation time is the longest；
(2) fresh leaf is the oldest, measures the fewest, then the temperature that completes is the lowest, and fixation time is the shortest；
(3) leaf tenderness is moderate, measures moderate, then the temperature that completes and fixation time also should be moderate.
Draw following fresh leaf grade, fresh leaf weight and the temperature that completes, fuzzy control rule table such as accompanying drawing 6 institute of fixation time
Show.
Further, maximum average value method is used to carry out ambiguity solution decision-making.
2, carding machine fuzzy control process
The fixation effect of water-removing leaves is divided into 3 grades, and domain is [0,100].
The most first-class level is best one grade of fixation effect, mark shelves (30,70), and wherein water-removing leaves effect is 50
Time, fixation effect is optimal, mark shelves 50 to 30, completes and gradually tends to not enough；Mark shelves 50 to 70, complete and gradually tend to excessively.
Second class is the not enough grade that completes, and score value (0,30), mark, by 0 to 30, completes by wretched insufficiency gradually to slightly
Not enough.
Third class is the excessive score value (70,100) that completes, and completes from little over spending toward serious excessive.
Fixation effect uses fuzzy subset's { first, second, third } of 3 elements, realizes water-removing leaves with triangular membership and completes
The obfuscation of effect, definition membership function is as follows:
According to expertise, when using Reciprocating Rationale Machine that water-removing leaves carries out managing bar process, the temperature of U-shaped pot groove should be controlled
System is at 90-120 DEG C, and kitchen sink reciprocating frequence should control to be advisable at 180-220 time/min.According to enter carding machine water-removing leaves amount and
Fixation effect, by micro-judgment, the existing reason bar temperature that is called for short by U-shaped for carding machine pot bath temperature degree uses 5 element fuzzy subsets { low
(L), in low (ML), in (M), middle height (MH), high (H), span be (90,120), and employing triangular membership is by it
Obfuscation.
The kitchen sink reciprocating frequence of carding machine is called for short reason bar frequency use 5 element fuzzy subsets low (L), in low (ML), in
(M), middle height (MH), high (H), span (180,220) is secondary/min, uses following membership function by its obfuscation:
Further, reason rule is summed up according to expertise as follows:
(1) completing the most not enough, water-removing leaves is the most, then reason bar temperature is the highest, and reason bar frequency is the highest；
(2) completing the most excessive, water-removing leaves is the fewest, then reason bar temperature is the lowest, and reason bar frequency is the lowest；
(3) complete appropriateness, and water-removing leaves amount is moderate, then reason bar temperature also should be moderate with frequency " etc..
Reason bar link fuzzy control rule table is set up as shown in Figure 7 according to above-mentioned reason bar rule
Further, use maximum averaging method ambiguity solution, draw concrete fixation time and the temperature that completes.
3, link design of Fuzzy Controller is dried
Manager's bar mechanism bar is done the humidity of the Folium Camelliae sinensis after type terminates use 5 element fuzzy subsets wet (W), in wet
(MW), in (M), in dry (MD), dry (D), domain (0,100), numerical value is the biggest, and moisture content is the lowest, and aridity is the highest, uses three
Angle membership function is by its obfuscation:
According to managing the humidity of Folium Camelliae sinensis after bar makees type and throwing leaf amount, the temperature of tea drier should be arranged on 90-120
DEG C, drying time should control at 8-15 minute, thus the drying temperature of dehydrator is set as 5 element fuzzy subsets low (L),
In low (ML), in (M), middle height (MH), high (H), domain be (90,120), and employing triangular membership is by its obfuscation:
Drying time is set up 5 element fuzzy subsets short (S), short-and-medium (MS), in (M), middle length (ME), long (E) }, domain
For (8,15), use triangular membership by its obfuscation:
Further, drying rule is summed up according to expertise as follows:
(1) if the reason bar leaf i.e. humidity of moisture content height is high and leaf amount is big, drying temperature should be higher, and drying time should be the longest；
(2) if managing bar leaf moisture content low is that humidity is little and leaf amount is little, then drying temperature should be on the low side, and drying time should be the shortest；
(3) if managing bar leaf moisture content moderate is that humidity is moderate and leaf amount is neither too much nor too little, then temperature is dried with drying time also
Should be moderate.
Set up and dry link fuzzy control rule table as shown in Figure 8.
Further, with maximum averaging method ambiguity solution, draw concrete drying time and dry temperature.
4, green tea production line fuzzy temperature PID control method is as follows
First parameter carries out obfuscation, and the method using triangle obfuscation, if the linguistic variable of deviation E and EC is
NL, NS, NM, Z, PS, PM, PL}, represent respectively: in negative big, negative, negative little, zero, the least, center, honest, the life of controlled Folium Camelliae sinensis
The heating system producing line processing equipment all belongs to Great inertia system, is rule of thumb set to [-15,15] by the domain of deviation E.Permissible
Triangular membership is used to realize the obfuscation of temperature parameter.
Definition membership function is as follows:
Further, according to pid algorithm, sum up PID rule of adjusting as follows:
(1) Proportional coefficient K p effect is Tong Bu with error, and coefficient is the biggest, and system response is the sensitiveest, KPIncreasing, the rise time subtracts
Few, overshoot increases；But KPExcessive, it is easily generated overshoot, even results in system unstable.KPValue is too small, then can make response speed
Slow down, thus extend regulating time, make the dynamic and static state performance of system degenerate.
(2) effect of integral adjustment is the steady-state error of elimination system, and integral coefficient is the least, and integral action is the most obvious, but
Integral coefficient is crossed conference and is produced integration saturated phenomenon in the initial stage of response process, produces bigger overshoot；But integral coefficient mistake
Little, the steady-state error of system will be difficult to eliminate, and affect degree of regulation.
(3) effect of differential regulation is the dynamic characteristic of improvement system, suppresses deviation to any direction in response process
Change, the change to deviation regulates in advance.Differential coefficient is the biggest, and the effect of differential is the strongest, but KDExcessive, can make to respond
Cheng Tiqian brakes, thus extends regulating time, reduces the capacity of resisting disturbance of system.
(4) when the temperature of system output exceedes setting value, K is suitably reducedI, when raised between more than require time, increase
KI；When stable state, system output produces wave phenomenon, suitably increases KD, when system is sensitive to interference signal reaction, suitably reduce
KD；Rise time is long, increases KP, there is oscillatory occurences, reduce K in system outputP。
Adjust rule according to pid parameter, carry out fuzzy reasoning by the rate of change EC of the error E calculated and error.Set up
Output Δ Kp, Δ K for fuzzy controlI, Δ KDFuzzy control rule table.
Further, select maximum average value method to carry out ambiguity solution, draw pid control parameter.
These are only preferred embodiment of the present utility model, not in order to limit this utility model, all in this practicality
Any amendment, equivalent and the improvement etc. made within novel spirit and principle, should be included in guarantor of the present utility model
Within the scope of protecting.
Claims (8)
1. the intelligent green tea production line of a bi-fuzzy control, it is characterised in that including: feed mechanism, connecting gear, complete
Mechanism, carding machine structure, drying mechanism, power transmission mechanism, actuator, PLC, bi-fuzzy control system, data acquisition
Collecting system, Labview host computer real-time monitoring system；Described connecting gear is used for connecting described carding machine structure and drying mechanism；
Described actuator includes that motor and heater, described motor are separately mounted to complete mechanism, carding machine structure, dehydrator
Bottom structure, feed mechanism, connecting gear, described heater is evenly arranged in described green-keeping machine barrel and carding machine, dehydrator
Bottom；Described data collecting system includes detecting device, signal regulating device, capture card and host computer procedure, and described detection fills
Putting and be made up of temperature sensor, LOAD CELLS, temperature sensor uses multiple spot to arrange, LOAD CELLS is fixed at the bottom of green-keeping machine
Portion, capture card connects signal regulating device and host computer；Described PLC control system and converter are fixed on independent regulator cubicle
In, complete described in regulation, manage bar, the rotating speed drying motor and temperature；The power of frequency conversion motor is passed by power transmission mechanism
Dynamic output；Described feed mechanism, the mechanism that completes, carding machine structure, drying mechanism, detection device, converter, heater, data acquisition
Truck, host computer Labview are all connected with described PLC control system.
2. intelligent green tea production line as claimed in claim 1, it is characterised in that described motor is by Frequency Converter Control, logical
Cross PLC and connect analog output module EM232 output frequency signal, control each motor speed.
3. green tea production line as claimed in claim 1 intelligent, it is characterised in that described detection device include temperature detection and
Weight detecting, temperature detection uses Pt100 to be converted into magnitude of voltage as temperature element, output resistance through temperature transmitter, then
Accessing data collecting card, weight detecting uses LOAD CELLS, and curve of output is carried out linear compensation, accurately measures and throws leaf amount.
4. intelligent green tea production line as claimed in claim 1, it is characterised in that described heater uses U-shaped dry-burning type
Adding heat pipe, solid-state relay control break-make, temperature uses fuzzy regulation and control, and whole device is in a stationary temperature.
5. intelligent green tea production line as claimed in claim 1, it is characterised in that described capture card is with described host computer even
Connect, be used for reading temperature and weight sensor detected value.
6. intelligent green tea production line as claimed in claim 1, it is characterised in that described host computer Labview Yu PLC controls
Module passes through serial communication, output fuzzy regulation and control pulse and the output of system ambiguous control.
7. intelligent green tea production line as claimed in claim 1, it is characterised in that described host computer procedure includes that parameter sets
Module, sets the temperature of the fuzzy temperature PID control of complete, manage bar and drying link, the fresh leaf grade being manually entered, water-removing leaves
Effect and reason bar leaf effect, data continuous acquisition module, continuous acquisition completes the fresh leaf weight in mechanism and each point for measuring temperature temperature
The real time temperature signal of sensor；Data processing module, is converted into voltage signal the signal collected；Data disaply moudle,
Each Real-time Monitoring Data is shown at host computer display interface；Green-keeping machine, carding machine, fuzzy control model, respectively to completing, managing bar
Bi-fuzzy control is carried out with drying link；Serial communication modular, the regulation and control pulse of fuzzy that host computer is exported by serial mode and
The output of system ambiguous control is sent to PLC；Data storage module, storage all of Monitoring Data of production link and
Control parameter, in case inquiry.
8. green tea production line as claimed in claim 7 intelligent, it is characterised in that described design of Fuzzy Controller by
PID and Fuzzy Logic Toolkit in Labview realizes.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105759772A (en) * | 2016-04-21 | 2016-07-13 | 安徽农业大学 | Bi-fuzzy control intelligence green tea production line |
| CN107212430A (en) * | 2017-07-05 | 2017-09-29 | 安徽农业大学 | A kind of hickory nut shell-crushing takes benevolence automatic production line |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105759772A (en) * | 2016-04-21 | 2016-07-13 | 安徽农业大学 | Bi-fuzzy control intelligence green tea production line |
| CN105759772B (en) * | 2016-04-21 | 2018-10-23 | 安徽农业大学 | The intelligent green tea production line of one bi-fuzzy control |
| CN107212430A (en) * | 2017-07-05 | 2017-09-29 | 安徽农业大学 | A kind of hickory nut shell-crushing takes benevolence automatic production line |
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