CN108594697A - Carbon dioxide fertilization control system and its control method in a kind of greenhouse - Google Patents
Carbon dioxide fertilization control system and its control method in a kind of greenhouse Download PDFInfo
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- CN108594697A CN108594697A CN201810205476.7A CN201810205476A CN108594697A CN 108594697 A CN108594697 A CN 108594697A CN 201810205476 A CN201810205476 A CN 201810205476A CN 108594697 A CN108594697 A CN 108594697A
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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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/18—Greenhouses for treating plants with carbon dioxide or the like
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- G—PHYSICS
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- 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
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0295—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic and expert systems
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Abstract
Carbon dioxide fertilization control system and its control method in a kind of greenhouse provided by the invention, including：Data acquisition module, host computer and slave computer；The data acquisition module is for acquiring the indoor first environment parameter of temperature；The host computer includes fuzzy reasoning module and machine learning module, and the machine learning module is used to establish the fuzzy control rule about gas concentration lwevel according to the experience of agricultural experts；The fuzzy reasoning module is used to, according to the first environment parameter and the fuzzy control rule, export control instruction；The control instruction that the slave computer is used to be sent out according to the fuzzy reasoning module, controls the working condition of executing agency.Control system provided by the invention passes through carbon dioxide fertilization state in fuzzy control technology controllable greenhouse, the fluctuation due to warm indoor carbon dioxide is avoided to bring detrimental effect to growth and development of plants as possible, fully meets the needs of photosynthesis of plant, to obtain more preferably control effect.
Description
Technical field
The present invention relates to agricultural technology field, more particularly, to carbon dioxide fertilization control system in a kind of greenhouse and
Its control method.
Background technology
Agricultural greenhouse is a more complicated big system, and the adjustment and setting of the internal environment factor directly influence
The growth and development of crop and yield in agricultural production.If the setting of the current environment factor is reasonable, so that it may be suitble to crop life to provide
The long environment needed, gives full play to growth potentiality, impossible good quality and high output is planted in a natural environment to reach
Target.
The positive developing agricultural chamber planting in current China season or anti-season can provide gourd, fruit and vegetable supply for market entirely,
It is effectively increased farmers' income while abundant and guarantee resident living.If should be noted that in the ring for adjusting inside greenhouse
Border goes wrong or mistake because of the period of the day from 11 p.m. to 1 a.m, is likely to result in have a shortfall in output and even have no harvest, is influenced on hothouse production activity very big.
Accordingly it is found that in greenhouse every environmental factor parameter setting and regulation and control quality, the influence factor of one side is temperature
The operation of room administrator is horizontal；On the other hand, even more important influence factor is the reasonability of agricultural facility itself and controllable
Property.It, may be to CO due to the closure in greenhouse2Supplement bring certain influence.In general, CO2In the photosynthesis of crop
Play the part of very important role, important raw material are provided for the growth of crop and fruit development.In northern cold winter,
Generally use CO2Fertilizer practice supplements the deficiency of photosynthesis demand.But in the growth course of crop, CO2Concentration mistake
The high or too low growth to plant is all unfavorable, or even can cause plant disease or the underproduction.Therefore, in the control system in greenhouse,
CO2Regulation and control be one emphasis needed to consider the problems of.
Invention content
For the above technical issues, carbon dioxide fertilization control system and its controlling party in a kind of greenhouse of present invention offer
Method.
In a first aspect, carbon dioxide fertilization control system in a kind of greenhouse of present invention offer, including：Data acquisition module,
Host computer and slave computer；The data acquisition module is connected with the host computer, for acquiring the indoor first environment parameter of temperature,
The first environment parameter includes the ion concentration of soilless culture nutrient fluid, the indoor temperature of temperature, humidity and gas concentration lwevel；
The host computer includes fuzzy reasoning module, the fuzzy reasoning module and the data acquisition module and the slave computer phase
Even, for according to the first environment parameter and fuzzy control rule, exporting control instruction；The slave computer includes automatically controlling
Module, the control instruction that the automatic control module is used to be sent out according to the fuzzy reasoning module, controls the work of executing agency
Make state；Wherein, the fuzzy control rule is dense based on nutrient solution ion concentration, carbon dioxide according to the experience of agricultural experts
Degree, temperature and humidity, and the fuzzy control rule about gas concentration lwevel established.
Wherein, the host computer further includes rational analysis module, the rational analysis module and the data acquisition module
It is connected；The data acquisition module is additionally operable to the second environment parameter after the working condition of acquisition control executing agency；It is described to push away
Reason analysis module is used to the first environment parameter and the second environment parameter making inferences analysis, judges that the control refers to
Whether enable suitable.
Wherein, the host computer further includes machine learning module, the machine learning module and the rational analysis module
And the fuzzy reasoning module is connected；The machine learning module corrects institute according to the judging result of the rational analysis module
Fuzzy control rule is stated, so that the fuzzy reasoning module infers control instruction according to revised fuzzy control rule.
Wherein, the fuzzy reasoning module is specifically used for the first environment parameter being blurred, and utilizes fuzzy
Control rule, obtains Fuzzy inferential decision；And the fuzzy reasoning module uses maximum membership degree method by the fuzzy reasoning
Decision carries out sharpening processing, obtains the control instruction for including specific controlled quentity controlled variable.
Wherein, the slave computer further includes：Manual control module；The manual control module and the data acquisition module
It is connected, the first environment parameter for receiving the data collecting module collected, so that operating personnel are according to the first environment
The working condition of executing agency described in state modulator.
Wherein, the host computer further includes alarm module, and the alarm module is connected with the data acquisition module, is used for
When gas concentration lwevel exceeds saturation point of carbon dioxide, alarm signal is sent out；Wherein, the saturation point of carbon dioxide is foundation
Nutrient solution ion concentration, the indoor gas concentration lwevel of temperature, temperature and humidity obtain carrying out the carbon dioxide of photosynthesis needs
Saturation point.
Second aspect, the present invention provide carbon dioxide fertilization control method in a kind of greenhouse, including：Step 1, according to agricultural
The experience of expert establishes the mould about gas concentration lwevel based on nutrient solution ion concentration, gas concentration lwevel, temperature and humidity
Paste control rule；Step 2, fuzzy reasoning module is wrapped according to the first environment parameter of the fuzzy control rule and acquisition
Control instruction containing specific controlled quentity controlled variable；The first environment parameter includes ion concentration in soilless culture nutrient fluid, in greenhouse
Gas concentration lwevel, temperature and humidity；Step 3, slave computer controls the working condition of executing agency according to the control instruction.
Wherein, carbon dioxide fertilization control method in the greenhouse further includes：The work shape of acquisition control executing agency
Second environment parameter after state, and the second environment parameter, first environment parameter and control instruction are made inferences into analysis, sentence
Whether the control instruction of breaking is suitable.
Wherein, carbon dioxide fertilization control method in the greenhouse further includes：Fuzzy control is corrected according to judging result
Rule, so that the fuzzy reasoning module infers suitable control instruction according to revised fuzzy control rule.
Wherein, the step 2 specifically includes：The first environment parameter is blurred by the fuzzy reasoning module,
And fuzzy control rule is utilized, obtain Fuzzy inferential decision；The fuzzy reasoning module uses maximum membership degree method by the mould
It pastes inductive decision and carries out sharpening processing, obtain the control instruction for including specific controlled quentity controlled variable.
Carbon dioxide fertilization control system and its control method in a kind of greenhouse provided by the invention, based on dioxy in greenhouse
Each ion concentration in change concentration of carbon, temperature, humidity and nutrient solution, passes through carbon dioxide fertilization in fuzzy control technology controllable greenhouse
State avoids the fluctuation due to warm indoor carbon dioxide from bringing detrimental effect to growth and development of plants as possible, fully meets and plants
The photosynthetic demand of object, to obtain more preferably control effect.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the structure diagram of carbon dioxide fertilization control system in greenhouse provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of carbon dioxide fertilization control method in greenhouse provided in an embodiment of the present invention.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
The every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is the structure diagram of carbon dioxide fertilization control system in greenhouse provided in an embodiment of the present invention, such as Fig. 1 institutes
Show, which includes：Data acquisition module 101, host computer 102 and slave computer 103；The data acquisition module 101 with
The host computer 102 is connected, and for acquiring the indoor first environment parameter of temperature, the first environment parameter includes soilless culture battalion
Ion concentration, the indoor temperature of temperature, humidity and the gas concentration lwevel of nutrient solution；The host computer 102 includes fuzzy reasoning module
201, the fuzzy reasoning module 201 is connected with the data acquisition module 101 and the slave computer 103, for according to
First environment parameter and the fuzzy control rule export control instruction；The slave computer 103 includes automatic control module, institute
Control instruction of the automatic control module for being sent out according to the fuzzy reasoning module 201 is stated, control executes the work of component 104
State；Wherein, the fuzzy control rule is dense based on nutrient solution ion concentration, carbon dioxide according to the experience of agricultural experts
Degree, temperature and humidity, and the fuzzy control rule about gas concentration lwevel established.
Wherein, host computer refers to the computer that can directly send out manipulation command, usually PC/host computer/
Master computer/upper computer show various signal intensities (hydraulic pressure, water level, temperature etc.) on screen.
Wherein, slave computer is the computer for directly controlling equipment and obtaining status of equipment, usually PLC/ microcontrollers single
Chip microcomputer/slave computer/lower computer's etc.The order that host computer is sent out first to
Slave computer, slave computer directly control relevant device further according to this command interpretation at corresponding time sequence signal.
Specifically, before controlling the warm indoor environment factor, it is dense that nutrient solution ion concentration, carbon dioxide are first based on
Degree, temperature and humidity, and the fuzzy control rule about gas concentration lwevel is established according to the experience of agricultural experts, such as 1 institute of table
Show；Wherein, E indicates that environmental parametric deviation, EC indicate that environmental parametric deviation rate, U indicate carbon dioxide fertilization amount；By environmental parameter
Deviation is divided into 7 fringes：PB (honest), PM (center), PS (just small), ZR (zero), NS (negative small), NM (in negative), NB is (negative
Greatly), the domain of the fuzzy subset of output quantity U is { -6, -5, -4, -3, -2, -1,0,1,2,3,4,5,6 }.
Then, data acquisition module 101 acquires the indoor first environment parameter of temperature, for example, data acquisition module 101 is used for
The concentration etc. of each ion in the indoor gas concentration lwevel of acquisition temperature, temperature, humidity and soilless culture nutrient fluid, for example, acquisition
The concentration etc. of iron ion in the concentration of carbanion in nutrient solution, or acquisition nutrient solution.Then, data acquisition module 101
By the first environment parameter input fuzzy reasoning module 201 of acquisition, fuzzy reasoning module 201 is according to first environment parameter and obscures
Control rule, obtains control instruction, for example, control instruction executes disconnection or the unicom of component 104 in order to control, to control titanium dioxide
The unlatching or stopping of carbon fertilizing equipment.And the control instruction is exported to slave computer 103.Later, slave computer 103 automatically controls
Module controls the working condition of executing agency according to the control instruction, for example, the automatic control module of slave computer 103 is according to control
Instruction controls the dose and fertilization time of the carbon dioxide of carbon dioxide fertilization equipment so that the indoor carbon dioxide of temperature is dense
State of the degree in crops suitable growth, and then improve the yield of crops.
1 fuzzy control rule of table
In embodiments of the present invention, dense based on each ion in gas concentration lwevel, temperature, humidity and nutrient solution in greenhouse
Degree, by carbon dioxide fertilization state in fuzzy control technology controllable greenhouse, avoids the wave due to warm indoor carbon dioxide as possible
It is dynamic that detrimental effect is brought to growth and development of plants, fully meet the needs of photosynthesis of plant, to more preferably be controlled
Effect.
On the basis of the various embodiments described above, the host computer 102 further includes rational analysis module, the rational analysis mould
Block is connected with the data acquisition module 101；The data acquisition module 101 is additionally operable to the work shape of acquisition control executing agency
Second environment parameter after state；The rational analysis module be used for by the first environment parameter and the second environment parameter into
Row rational analysis judges whether the control instruction is suitable.
Specifically, the control instruction sent out according to fuzzy reasoning module 201 in slave computer 103, control execute component 104
After working condition, data acquisition module 101 acquires the indoor second environment parameter of temperature, i.e. data acquisition module 101 again again
The indoor gas concentration lwevel of acquisition temperature, temperature, humidity and nutrient solution ion concentration etc..Then, data acquisition module 101 will be adopted
The second environment parameter of collection is delivered to rational analysis module, and rational analysis module is then by second environment parameter and first environment parameter
Analysis is made inferences, judges whether control instruction is suitable.
For example, data acquisition module 101 acquire first environment parameter in temperature be -5 DEG C, humidity 10%, nutrition
In liquid iron ion a concentration of 6%, gas concentration lwevel 150mg/L, then can be obtained according to environmental parameter at this time and be planted at this time
Object carries out the gas concentration lwevel of photosynthesis needs, the i.e. saturation point of carbon dioxide；Then fuzzy reasoning module 102 can will obtain
The saturation point of carbon dioxide be compared with gas concentration lwevel at this time, the control instruction of output, i.e. control instruction are dioxy
Change carbon to apply fertilizer 10 minutes, the indoor gas concentration lwevel of temperature is increased to 300mg/L.It applies fertilizer after ten minutes, data acquisition module
Gas concentration lwevel in the second environment parameter that block 101 acquires is 350mg/L, then gas concentration lwevel at this time has been more than temperature
Indoor crops carry out the gas concentration lwevel of photosynthesis needs, cause certain waste, therefore the control instruction is improper,
Then carbon dioxide fertilization equipment is automatically closed in automatic control control module.
In embodiments of the present invention, by the way that rational analysis module is arranged in host computer 102, and the rational analysis mould is utilized
Block judges whether the control instruction of fuzzy reasoning module is suitable, improves the integrality and feasibility of the control system.
On the basis of the various embodiments described above, the host computer further includes machine learning module 202, the machine learning mould
Block 202 is connected with the rational analysis module and the fuzzy reasoning module 201；The machine learning module 202 is according to described
The judging result of rational analysis module corrects the fuzzy control rule, so that after the fuzzy reasoning module 201 is according to amendment
Fuzzy control rule infer control instruction.
Specifically, after slave computer 103 controls the working condition for executing component 104 according to control instruction, data acquisition module
Block 101 acquires the indoor second environment parameter of temperature again, i.e. it is dense to acquire the indoor carbon dioxide of temperature again for data acquisition module 101
Degree, temperature, humidity, nutrient solution ion concentration etc.；And the second environment parameter of acquisition is delivered to rational analysis module, reasoning point
First environment parameter and second environment parameter are made inferences analysis by analysis module, judge that first environment parameter is joined with second environment
Deviation between number.Then, machine learning module 202 by inference analysis module judging result correct fuzzy control rule.
For example, data acquisition module 101 acquire first environment parameter in nutrient solution iron ion a concentration of 15%, temperature
For 15 DEG C, humidity 20%, gas concentration lwevel 350umol/mol；Then it can obtain greenhouse according to environmental parameter at this time
Plant carries out the gas concentration lwevel of photosynthesis needs, the i.e. saturation point of carbon dioxide.Fuzzy reasoning module 201 is according to first
Environmental parameter and gas concentration lwevel at this time, the control instruction of output are that gas concentration lwevel is increased to 800umol/mol；
That is, carbon dioxide fertilization amount is 450mg/L, carbon dioxide fertilization 50 minutes increases to the indoor gas concentration lwevel of temperature
800umol/mol。
After carbon dioxide fertilization 30 minutes, carbon dioxide in the second environment parameter that data acquisition module 101 acquires again
A concentration of 750umol/mol, at this time rational analysis module judge that gas concentration lwevel refers to control in second environment parameter
There are the deviations of 50umol/mol between the concentration that carbon dioxide need to reach in order.At this point, machine learning module 202 will be to fuzzy
Control rule is modified, so that fuzzy reasoning module 201 can export more accurate control instruction according to fuzzy control rule.And
Constantly fuzzy control rule is modified and is adjusted by machine learning module 202 so that fuzzy reasoning module 201 can
More accurate control instruction is exported, so that the indoor gas concentration lwevel of temperature is in suitable range, to improve the production of crops
Amount.
In embodiments of the present invention, by machine learning module constantly according between second environment parameter and control instruction
Drift correction fuzzy control rule so that fuzzy reasoning module, which can export, is accurately controlled instruction, improves control system
Accuracy so that the control system can be accurately controlled the indoor environmental parameter of temperature so that crops be at compared with
Suitable growing environment, to improve the yield of crops.
On the basis of the various embodiments described above, the fuzzy reasoning module 201 is specifically used for the first environment parameter
It is blurred, and utilizes fuzzy control rule, obtain Fuzzy inferential decision；And the fuzzy reasoning module 201 is using most
The Fuzzy inferential decision is carried out sharpening processing by big membership degree method, obtains the control instruction for including specific controlled quentity controlled variable.
Specifically, first environment parameter is blurred by fuzzy reasoning module 201, for example, fuzzy reasoning module 201 is adopted
First environment parameter is blurred with stepping Fuzzy Sets Method, that is, first environment parameter is divided into seven fringes：PB
(honest), PM (center), PS (just small), ZR (zero), NS (negative small), NM (in negative), NB (negative big).Then, fuzzy reasoning module
201 utilize fuzzy control rule according to the first environment parameter after blurring, obtain Fuzzy inferential decision.Later, fuzzy reasoning
Fuzzy inferential decision is carried out sharpening processing by module 201 using maximum membership degree method, to obtain including the control of specific controlled quentity controlled variable
System instruction.Then, slave computer 103 drives execution component 104 to control carbon dioxide fertilization equipment according to the control instruction.
In addition, network communication module is arranged in host computer 102 so that fuzzy reasoning module 201 and data acquisition module
101 can be carried out data transmission by the network communication module.
On the basis of the various embodiments described above, the slave computer further includes：Manual control module；The manual control module
It is connected with the data acquisition module 101, the first environment parameter for receiving the acquisition of the data acquisition module 101, and root
According to the working condition for executing component 104 described in the first environment state modulator.
Specifically, manual control module, and the people's work control module and data acquisition module are set in slave computer 103
101 are connected, then after data acquisition module 101 collects the indoor first environment parameter of temperature, manual control module receives this
First environment parameter, and operating personnel can execute the working condition of component 104 according to the first environment state modulator, for example,
When gas concentration lwevel in first environment parameter is higher, driving is executed component 104 and disconnected by manual control module, so that two
Carbonoxide fertilizing equipment is stopped.And in the case where host computer 102 fails, operating personnel can pass through the people of slave computer
Work control module manually controls the working condition for executing component 104.Then the control system can both be controlled by 102 intelligence of host computer
The working condition of executing agency processed can also manually control the work shape of executing agency by the manual control module of slave computer
State improves reliability and the safety of entire control system.
Host computer 102 in the various embodiments described above is industrial personal computer, including 4G or more memories, 128G solid state disks；CPU is
IntelCore/Pentium/Celeron M series i5-4200M or level above；Serial ports includes at least two RS232 and 2
485, network interface includes 2 RJ45；USB interface includes at least two USB3.0 and 4 USB2.0 interfaces；The various embodiments described above
In slave computer 103 using 32 general purpose microcontrollers of ARM Cortex-M3TM kernels, support CAN, USB, URAT and data
Defencive function.
Fig. 2 is carbon dioxide fertilization control method in a kind of greenhouse provided in an embodiment of the present invention, as shown in Fig. 2, the control
Method processed includes：Step 1, the fuzzy control rule about gas concentration lwevel is established according to the experience of agricultural experts；Step 2,
Fuzzy reasoning module 201 obtains the control for including specific controlled quentity controlled variable according to the first environment parameter and fuzzy control rule of acquisition
Instruction, the first environment parameter include the ion concentration of soilless culture nutrient fluid, the indoor gas concentration lwevel of temperature, temperature and
Humidity；Step 3, slave computer 103 controls the working condition for executing component 104 according to the control instruction.
Specifically, it before controlling the warm indoor environment factor, is first established about dioxy according to the experience of agricultural experts
Change the fuzzy control rule of concentration of carbon, as shown in table 1.Then, data acquisition module 101 acquires the indoor first environment ginseng of temperature
Number, that is, data acquisition module 101 is for acquiring in the indoor gas concentration lwevel of temperature, temperature, humidity and soilless culture nutrient fluid
The concentration of each ion for example, acquiring the concentration of carbanion in nutrient solution, or acquires the concentration of iron ion in nutrient solution
Deng.Then, the first environment parameter of acquisition is inputted fuzzy reasoning module 201, fuzzy reasoning module by data acquisition module 101
201, according to first environment parameter and fuzzy control rule, obtain control instruction, and the control instruction is exported to slave computer 103.
Later, slave computer 103 controls the working condition for executing component 104 according to the control instruction, for example, slave computer 103 is according to dioxy
Change the dose and fertilization time of carbon, control executes the working condition of component 104, and then controls and execute what component 104 was connected
The working condition of carbon dioxide fertilization equipment so that the indoor gas concentration lwevel of temperature is in the suitable state generated of crops,
And then improve the yield of crops.
In embodiments of the present invention, dense based on each ion in gas concentration lwevel, temperature, humidity and nutrient solution in greenhouse
Degree, by fuzzy control technology and machine learning, precisely and the indoor gas concentration lwevel of efficient control temperature, avoid as possible by
Detrimental effect is brought to growth and development of plants in the fluctuation of gas concentration lwevel in greenhouse, fully meets photosynthesis of plant
Demand, to obtain more preferably control effect.
On the basis of the above embodiments, carbon dioxide fertilization control method in the greenhouse further includes：Acquisition control
Second environment parameter after the working condition of executing agency, and the second environment parameter, first environment parameter and control are referred to
Order makes inferences analysis, judges whether the control instruction is suitable.Carbon dioxide fertilization control method, is also wrapped in the greenhouse
It includes：Fuzzy control rule is corrected according to judging result, so that the fuzzy reasoning module is according to revised fuzzy control rule
Infer suitable control instruction.
Specifically, after slave computer 103 controls the working condition for executing component 104 according to control instruction, carbon dioxide is applied
Fertile equipment can be operated accordingly, and data acquisition module 101 acquires the indoor second environment parameter of temperature, i.e. data again later
Acquisition module 101 acquires the indoor gas concentration lwevel of temperature, temperature, humidity, nutrient solution ion concentration etc. again；And by acquisition
Second environment parameter is delivered to rational analysis module, and rational analysis module is judged between second environment parameter and control instruction
Deviation.Then, the drift correction fuzzy control rule that analysis module is judged by inference of machine learning module 202.
For example, data acquisition module 101 acquire first environment parameter in nutrient solution carbanion a concentration of 10%,
Temperature is 15 DEG C, humidity 20%, gas concentration lwevel 450umol/mol；At this point, the control that fuzzy reasoning module 201 exports
Gas concentration lwevel is is increased to 900umol/mol by system instruction, i.e., carbon dioxide fertilization amount is 450mg/L, fertilization time is
60 minutes.Carbon dioxide fertilization after sixty minutes, carbon dioxide in the second environment parameter that data acquisition module 101 acquires again
A concentration of 920umol/mol is then deposited in gas concentration lwevel and control instruction between gas concentration lwevel in second environment parameter
In the deviation of 20umol/mol, then it is less suitable to obscure the control instruction that thrust block is sent out.
At this point, machine learning module 202 will be modified fuzzy control rule, so that fuzzy reasoning module 201 can be according to
More accurate control instruction is exported according to fuzzy control rule.And by machine learning module 202 constantly to fuzzy control rule
It is modified and adjusts so that fuzzy reasoning module 201 can export more accurate control instruction, so that the indoor crops of temperature
It is at convenient growing environment, to improve the yield of crops.
In embodiments of the present invention, by machine learning module constantly according between second environment parameter and control instruction
Drift correction fuzzy control rule so that fuzzy reasoning module, which can export, is accurately controlled instruction, improves control system
Accuracy, so that the control system can be accurately controlled the indoor gas concentration lwevel of temperature, so that crops can be located
In convenient growing environment, to improve the yield of crops.
On the basis of the above embodiments, the step 2 specifically includes：The fuzzy reasoning module 201 is by first environment
Parameter is blurred, and utilizes fuzzy control rule, obtains Fuzzy inferential decision；The fuzzy reasoning module is subordinate to using maximum
The Fuzzy inferential decision is carried out sharpening processing by category degree method, obtains the control instruction for including specific controlled quentity controlled variable.
Wherein, blurring is to realize an important link of fuzzy control, and blurring is by fuzzy controller input quantity
Determine that value is converted to the process of corresponding Fuzzy Linguistic Variable value, and Fuzzy Linguistic Variable value is a fuzzy set, so mould
Gelatinizing method should provide the method for converting from precise volume to fuzzy set.Common fuzzy method has stepping Fuzzy Sets Method, defeated
Access point degree of membership takes 1 method, single-point shape fuzzy set legal and is subordinate to angle value method.
Specifically, first environment parameter is blurred by fuzzy reasoning module 201, for example, fuzzy reasoning module 201 is adopted
First environment parameter is blurred with stepping Fuzzy Sets Method, i.e., first environment parameter is divided into 7 fringes：PB is (just
Greatly), (center) PM, PS (just small), ZR (zero), NS (negative small), NM (in negative), NB (negative big).Then, fuzzy reasoning module 201
Using fuzzy control rule according to the first environment parameter after blurring, Fuzzy inferential decision is obtained.Later, fuzzy reasoning module
Fuzzy inferential decision is carried out sharpening processing by 201 using maximum membership degree method, is referred to obtaining the control comprising specific controlled quentity controlled variable
It enables, that is, carbon dioxide fertilization amount and fertilization time.Then, slave computer 103 drives execution component 104 right according to the control instruction
Setting is controlled.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features；
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. carbon dioxide fertilization control system in a kind of greenhouse, which is characterized in that including：Data acquisition module, host computer and under
Position machine；
The data acquisition module is connected with the host computer, for acquiring the indoor first environment parameter of temperature, first ring
Border parameter includes the ion concentration of soilless culture nutrient fluid, the indoor temperature of temperature, humidity and gas concentration lwevel；
The host computer includes fuzzy reasoning module, the fuzzy reasoning module and the data acquisition module and the slave computer
It is connected, for according to the first environment parameter and fuzzy control rule, exporting control instruction；
The slave computer includes automatic control module, what the automatic control module was used to be sent out according to the fuzzy reasoning module
Control instruction controls the working condition of executing agency；
Wherein, the fuzzy control rule be according to the experience of agricultural experts be based on nutrient solution ion concentration, gas concentration lwevel,
Temperature and humidity, and the fuzzy control rule about gas concentration lwevel established.
2. carbon dioxide fertilization control system in greenhouse according to claim 1, which is characterized in that the host computer also wraps
Rational analysis module is included, the rational analysis module is connected with the data acquisition module；
The data acquisition module is additionally operable to the second environment parameter after the working condition of acquisition control executing agency；
The rational analysis module is used to the first environment parameter and the second environment parameter making inferences analysis, judges
Whether the control instruction is suitable.
3. carbon dioxide fertilization control system in greenhouse according to claim 2, which is characterized in that the host computer also wraps
Machine learning module is included, the machine learning module is connected with the rational analysis module and the fuzzy reasoning module；
The machine learning module corrects the fuzzy control rule according to the judging result of the rational analysis module, so that
The fuzzy reasoning module infers control instruction according to revised fuzzy control rule.
4. carbon dioxide fertilization control system in greenhouse according to claim 1, which is characterized in that the fuzzy reasoning mould
Block is specifically used for the first environment parameter being blurred, and utilizes fuzzy control rule, obtains Fuzzy inferential decision；With
And
The Fuzzy inferential decision is carried out sharpening processing by the fuzzy reasoning module using maximum membership degree method, including
The control instruction of specific controlled quentity controlled variable.
5. carbon dioxide fertilization control system in greenhouse according to claim 1, which is characterized in that the slave computer also wraps
It includes：Manual control module；The manual control module is connected with the data acquisition module, for receiving the data acquisition module
The first environment parameter of block acquisition, so that work shape of the operating personnel according to executing agency described in the first environment state modulator
State.
6. carbon dioxide fertilization control system in greenhouse according to claim 3, which is characterized in that the host computer also wraps
Alarm module is included, the alarm module is connected with the data acquisition module, for exceeding carbon dioxide in gas concentration lwevel
When saturation point, alarm signal is sent out；
Wherein, the saturation point of carbon dioxide is according to nutrient solution ion concentration, the indoor gas concentration lwevel of temperature, temperature and wet
Degree obtains carrying out the saturation point of carbon dioxide of photosynthesis needs.
7. carbon dioxide fertilization control method in a kind of greenhouse, which is characterized in that including：
Step 1, nutrient solution ion concentration, gas concentration lwevel, temperature and humidity are based on according to the experience of agricultural experts and establish pass
In the fuzzy control rule of gas concentration lwevel；
Step 2, fuzzy reasoning module is obtained according to the first environment parameter of the fuzzy control rule and acquisition comprising specific control
The control instruction of amount processed；The first environment parameter includes ion concentration, the indoor titanium dioxide of temperature in soilless culture nutrient fluid
Concentration of carbon, temperature and humidity；
Step 3, slave computer controls the working condition of executing agency according to the control instruction.
8. carbon dioxide fertilization control method in greenhouse according to claim 7, which is characterized in that further include：
Second environment parameter after the working condition of acquisition control executing agency, and by the second environment parameter, first environment
Parameter and control instruction make inferences analysis, judge whether the control instruction is suitable.
9. carbon dioxide fertilization control method in greenhouse according to claim 8, which is characterized in that further include：
Fuzzy control rule is corrected according to judging result, so that the fuzzy reasoning module is according to revised fuzzy control rule
Infer suitable control instruction.
10. carbon dioxide fertilization control method in greenhouse according to claim 8, which is characterized in that the step 2 is specific
Including：
The first environment parameter is blurred by the fuzzy reasoning module, and utilizes fuzzy control rule, is obscured
Inductive decision；
The Fuzzy inferential decision is carried out sharpening processing by the fuzzy reasoning module using maximum membership degree method, including
The control instruction of specific controlled quentity controlled variable.
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