CN108153357A - A kind of greenhouse intelligent management and system - Google Patents
A kind of greenhouse intelligent management and system Download PDFInfo
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- CN108153357A CN108153357A CN201711423181.9A CN201711423181A CN108153357A CN 108153357 A CN108153357 A CN 108153357A CN 201711423181 A CN201711423181 A CN 201711423181A CN 108153357 A CN108153357 A CN 108153357A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Abstract
The present invention relates to a kind of greenhouse intelligent management and systems, are related to field of intelligent control.This method includes：The control instruction controlled the control device of main canopy to adjust environmental parameter in main canopy is obtained, and control instruction is sent at least one control device from canopy；Obtain respectively from the control device of canopy according to control instruction to the feedback information that is obtained after respectively environmental parameter controls out of canopy；Control instruction is adjusted according to feedback information.A kind of greenhouse intelligent management provided by the invention and system, realize main canopy and the linkage from canopy, implementation information can be fed back in time according to from the implementation result of canopy, and change the control program of main canopy in time, it disclosure satisfy that the individual character of Different Crop changes environmental demand, and without relying on manual adjustment, speed of adjusting is efficient soon, can make the environment all-the-time stable in canopy in perfect condition.
Description
Technical field
The present invention relates to field of intelligent control more particularly to a kind of greenhouse intelligent management and systems.
Background technology
In recent years, protected crop production development is rapid, but for the greenhouse of large area, it usually needs it is artificial to carry out
Management, management and control inefficiency, for different crops, intelligent dependence experience manually adjusts the environmental parameter in its canopy, not only
Regulate and control inefficiency, and environment in canopy can not be made to remain at ideal conditions.
Invention content
The technical problems to be solved by the invention are in view of the deficiencies of the prior art, to provide a kind of greenhouse intelligent management
Method and system.
The technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of greenhouse intelligent management, including：
It obtains and is controlled the control device of main canopy control instruction to adjust environmental parameter in the main canopy, and by institute
It states control instruction and is sent at least one control device from canopy；
Obtain each described controlled from the control device of canopy according to the control instruction to each environmental parameter out of canopy
The feedback information obtained after system；
The control instruction is adjusted according to the feedback information.
The beneficial effects of the invention are as follows：A kind of greenhouse intelligent management provided by the invention, by main canopy
Environmental parameter is controlled, and control instruction is sent to respectively on a 50-50 basis from the control device of canopy, is made respectively from the control device of canopy
The environment out of canopy can be automatically controlled, and the control instruction in main canopy is adjusted according to the adjusting feedback out of canopy,
Main canopy and the linkage from canopy are realized, implementation information can be fed back in time, and change in time according to from the implementation result of canopy
The control program of main canopy disclosure satisfy that the individual character of Different Crop changes environmental demand, and without relying on manual adjustment, adjustment speed
It is fast efficient, the environment all-the-time stable in canopy can be made in perfect condition.
Based on the above technical solution, the present invention can also be improved as follows.
Further, the control instruction includes：The water rate control controlled the water pump of the main canopy instructs, to fertilizer
Pump the fertilizer amount control instruction controlled, the roller shutter control instruction controlled to shutter, the ventilation controlled air port
The carbon dioxide that amount control instruction, the signal light control controlled light compensating lamp are instructed, controlled carbon-dioxide generator
Concentration control instruction.
Further, the acquisition controls the control device of main canopy the control to adjust environmental parameter in the main canopy
Before system instruction, further include：
Acquire the environmental information in main canopy；
Processing analysis is carried out to the environmental information, obtains referring to the control that the environmental parameter in the main canopy is adjusted
It enables.
Further, it is described that processing analysis is carried out to the environmental information, it specifically includes：
Study is trained to the collected environmental information by neural network, obtains environmental model；
Processing analysis is carried out to the environmental information according to the environmental model.
Advantageous effect using above-mentioned further scheme is：The collected environmental information is carried out by neural network
Training study, can make the regulation and control for environment more intelligent.
Further, it further includes：
Study is trained to the feedback information by neural network, the environmental model is modified.
The another technical solution that the present invention solves above-mentioned technical problem is as follows：
A kind of greenhouse intelligent management system, including：
Communication device, for obtaining the control controlled the control device of main canopy to adjust environmental parameter in the main canopy
System instruction, and is sent at least one control device from canopy by the control instruction, and obtains each described set from the control of canopy
It is standby according to the control instruction to each feedback information obtained after environmental parameter controls out of canopy；
Controller, for being adjusted according to the feedback information to the control instruction.
The beneficial effects of the invention are as follows：A kind of greenhouse intelligent management system provided by the invention, passes through controller pair
Environmental parameter is controlled in main canopy, and is passed through communication device and be sent to control instruction on a 50-50 basis respectively from the control device of canopy,
Enable respectively automatically to control the environment out of canopy from the control device of canopy, and according to the adjusting feedback out of canopy in main canopy
Control instruction is adjusted, and realizes main canopy and the linkage from canopy, can feed back implementation in time according to the implementation result from canopy
Information, and change the control program of main canopy in time, it disclosure satisfy that the individual character of Different Crop changes environmental demand, and without relying on
Manual adjustment, speed of adjusting is efficient soon, can make the environment all-the-time stable in canopy in perfect condition.
Further, the control instruction includes：The water rate control controlled the water pump of the main canopy instructs, to fertilizer
Pump the fertilizer amount control instruction controlled, the roller shutter control instruction controlled to shutter, the ventilation controlled air port
The carbon dioxide that amount control instruction, the signal light control controlled light compensating lamp are instructed, controlled carbon-dioxide generator
Concentration control instruction.
Further, it further includes：
Sensor is acquired, for acquiring the environmental information in main canopy；
Processor for carrying out processing analysis to the environmental information, obtains carrying out the environmental parameter in the main canopy
The control instruction of adjusting.
Further, the processor includes：
Neural network learning unit is trained study for passing through neural network to the collected environmental information,
Obtain environmental model；
Analytic unit, for carrying out processing analysis to the environmental information according to the environmental model.
Further, the neural network learning unit is additionally operable to be trained the feedback information by neural network
Study, is modified the environmental model.
The advantages of additional aspect of the invention, will be set forth in part in the description, and will partly become from the following description
It obtains significantly or is recognized by present invention practice.
Description of the drawings
Fig. 1 is a kind of flow diagram of greenhouse intelligent management provided by one embodiment of the present invention；
Fig. 2 is the flow diagram of a kind of greenhouse intelligent management that another embodiment of the present invention provides；
Fig. 3 is the structural framing figure of a kind of greenhouse intelligent management system that another embodiment of the present invention provides.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in Figure 1, the flow for a kind of greenhouse intelligent management provided by one embodiment of the present invention is illustrated
Figure, this method include：
S1 obtains the control instruction controlled the control device of main canopy to adjust environmental parameter in main canopy, and will control
System instruction is sent at least one control device from canopy.
Need what is illustrated, control device refers to the equipment that can adjust environmental parameter in canopy, for example, can canopy in order to control
The water pump of interior soil water amount, the fertilizer pump for controlling soil fertilizer amount in canopy, control temperature of shed, the shutter of intensity of sunshine, control canopy
The ventilation opening of interior ventilation situation, the carbon dioxide hair for controlling the light compensating lamp of light conditions in canopy, controlling gas concentration lwevel in canopy
Raw device etc..
S2, obtain respectively from the control device of canopy according to control instruction to obtaining after respectively environmental parameter controls out of canopy
Feedback information.
It should be noted that feedback information refers to the control device from canopy according to the control instruction of main canopy to the canopy from canopy
After interior environmental parameter is controlled, the information such as the growing state of crop, the yield of target output object, crop case fatality rate in canopy.
Several preferred embodiments for obtaining feedback information are given below.
Preferably, after to environmental parameter controls out of canopy canopy, can canopy be acquired by photographic device in real time
The image of interior crop by analyzing the image respectively out of canopy, judges the growing state of the respectively crop out of canopy.
It should be noted that the growing state of crop can be judged by the crop match cognization algorithm to prestore,
It can be carried out pair with Leaf orientation, the color of preset healthy crop etc. according to Leaf orientation, color of the crop in image etc.
Than analysis, the growing state of crop and pest and disease damage situation in each canopy are obtained.
In a presently preferred embodiment, the growing state of crop can be fed back by the form of numerical value, as anti-
Feedforward information.
For example, for the leaf color of crop, multiple grades can be divided into, for example, 1 grade can represent crop leaf
Color and the leaf color of healthy crop are completely the same, belong to crop in the pink of condition；2 grades can represent crop leaf color with
The leaf color difference of healthy crop is little, belongs to the crop of general health；3 grades can represent crop leaf color and make with health
The leaf color difference of object is larger, belongs to unsound crop.
Multiple grades can also be divided into for the posture of blade, for example, 1 grade can represent blade straight elevator, with health
The Leaf orientation of crop is completely the same, belongs to crop in the pink of condition；2 grades can represent blade slight curvature, with healthy crop
Leaf orientation difference it is little, belong to the crop of general health；3 grades can represent leaf rolling, the blade appearance with healthy crop
State difference is very big, belongs to unsound crop.
It should be noted that being above preferred embodiment, in practical application, can be set according to actual conditions multiple
The rank of gradient, to improve the accuracy of feedback information.
Preferably, it can also in real time be acquired by photographic device after to environmental parameter controls out of canopy canopy
The image of crop in canopy is respectively sent to user monitoring terminal by collected from the image of canopy, and artificial monitoring judges the life of crop
Then long situation is fed back the growing state of crop.
For example, monitoring personnel can give a mark to the growing state of crop in canopy, using obtained score value as feedback letter
Breath.
For example, when monitoring personnel finds that crop growing state is good in canopy, 100 scores can be made, then this 100 points
Main canopy is sent to as feedback information；60 scores can also be made, then this 60 points can serve as feedback information and be sent to main canopy.
It should be noted that be above preferred embodiment, in practical application, can by crop growing state, die of illness
Situation, Leaf orientation, leaf color etc. are given a mark respectively, to improve the accuracy of feedback.
Preferably, can also be after to environmental parameter control out of canopy canopy, it can also be by sensor in canopy
Environmental information is acquired analysis, obtains feedback information.
For example, temperature sensor, humidity sensor, optical sensor, gas concentration lwevel sensor etc. pair can be passed through
Environment in canopy is monitored, and is compared analysis to monitored results and preset condition, using analysis result as feedback information.
For example, after to being controlled from the control device of canopy, it is found that other indexs all meet the requirements, only soil
Humidity it is inadequate, then obtained feedback information is exactly to need to control water pump, increasing intake.
In another example after to being controlled from the control device of canopy, it is found that other indexs all meet the requirements, illumination is strong
Spend inadequate but gas concentration lwevel excess, then obtained feedback information is exactly to need to strengthen illumination, and it is dense to reduce carbon dioxide
Degree.
S3 is adjusted control instruction according to feedback information.
For example, when receive 1 grade of leaf color, during the feedback information that 1 grade of Leaf orientation, by being carried out to the feedback information
Analysis, it is believed that the crop growing state out of canopy is good, does not need to be adjusted control instruction；When receiving leaf color 1
Grade during the feedback information that 3 grades of Leaf orientation, illustrates that the crop growing state out of canopy is bad, leaf rolling is serious, and explanation may be water
Amount is insufficient, then control instruction can be adjusted, the irrigation times of water pump is made to become more, irrigation amount becomes larger.
In another example need to strengthen illumination, and when reducing the feedback information of gas concentration lwevel when receiving, it can be to control
Instruction is changed accordingly, to increase the irradiation time of light compensating lamp and reduce the working time of his generator of titanium dioxide.
It should be noted that data can be realized in main canopy and from the biography between canopy by CAN bus or 485 buses etc.
It is defeated.
A kind of greenhouse intelligent management provided in this embodiment, by controlling environmental parameter in main canopy,
And be sent to control instruction on a 50-50 basis respectively from the control device of canopy, enable respectively automatically to control from canopy from the control device of canopy
Interior environment, and the control instruction in main canopy is adjusted according to the adjusting feedback out of canopy, realize main canopy and from canopy
Linkage, can feed back implementation information in time, and change the control program of main canopy in time according to from the implementation result of canopy, can
The individual character for meeting Different Crop changes environmental demand, and without relying on manual adjustment, speed of adjusting is efficient soon, can make in canopy
Environment all-the-time stable in perfect condition.
As shown in Fig. 2, a kind of flow of the greenhouse intelligent management signal provided for another embodiment of the present invention
Figure, this method include：
S1 obtains the control instruction controlled the control device of main canopy to adjust environmental parameter in main canopy, and will control
System instruction is sent at least one control device from canopy.
Preferably, control instruction includes：The water rate control controlled the water pump of main canopy instructs, fertilizer pump is controlled
Fertilizer amount control instruction, shutter is controlled roller shutter control instruction, air port is controlled ventilation quantity control instruction,
The signal light control instruction controlled light compensating lamp, the gas concentration lwevel control controlled carbon-dioxide generator refer to
It enables.
Preferably, before step S1, can also include the following steps：
S01 acquires the environmental information in main canopy.
It should be noted that the environmental information in main canopy can include：Air themperature, air humidity, intensity of illumination, soil
The information such as temperature, soil moisture, gas concentration lwevel.These environmental informations can be by being arranged in canopy and the sensing in soil
Device collects.
S02 is trained study to collected environmental information by neural network, obtains environmental model.
It should be noted that environmental model refers to the continuous renewal obtained by intelligence learning and perfect all kinds of crops
Optimum growh environment, obtained environmental model can be stored in model library, convenient for the obtained environment mould of training study
Type is modified and supplements.
S03 carries out processing analysis according to environmental model to environmental information.
It should be noted that can automatically be analyzed according to environmental model collected environmental information, obtain and work as
The numerical value of all kinds of environmental parameters of preceding needs.
For example, when the intensity of illumination that A crops need is a, the intensity of illumination that water b, B crop need is c, water d
When, then after being analyzed according to environmental model, it is possible to it is strong to obtain the illumination for needing to adjust according to current environmental information
Measurement and water.
S04 obtains the control instruction that the environmental parameter in main canopy is adjusted.
The numerical value of environmental parameter that needs according to being obtained in previous step are adjusted, generates and corresponding control device is controlled
The control instruction of system.
For example, when needing to control the water pump of main canopy, water rate control instruction is just generated；It is carried out when needing to pump fertilizer
During control；With regard to generating fertilizer amount control instruction；When needing to control shutter, roller shutter control instruction is just generated；Work as needs
When controlling air port；With regard to generating ventilation quantity control instruction；When needing to control light compensating lamp, signal light control is just generated
Instruction；When needing to control carbon-dioxide generator, gas concentration lwevel control instruction is just generated.
S05 is trained feedback information study by neural network, environmental model is modified.
Study is trained to collected environmental information by neural network, the regulation and control more intelligence for environment can be made
Energy.
S2, obtain respectively from the control device of canopy according to control instruction to obtaining after respectively environmental parameter controls out of canopy
Feedback information.
S3 is adjusted control instruction according to feedback information.
A kind of greenhouse intelligent management provided in this embodiment, by neural network in advance to the environment in main canopy
Information is trained study, and environmental parameter is controlled, and control instruction is sent on a 50-50 basis and is respectively set from the control of canopy
It is standby, enable respectively automatically to control the environment out of canopy, and feed back to main canopy according to the adjusting out of canopy from the control device of canopy
Interior control instruction is adjusted, and realizes main canopy and the linkage from canopy, can in time be fed back according to the implementation result from canopy
Implementation information, and change the control program of main canopy in time, it disclosure satisfy that the individual character of Different Crop changes environmental demand, and do not have to
Manual adjustment is relied on, speed of adjusting is efficient soon, can make the environment all-the-time stable in canopy in perfect condition.
As shown in figure 3, a kind of structural framing of greenhouse intelligent management system provided for another embodiment of the present invention
Figure, the system include main canopy 1 and from 2 two parts of canopy, and main canopy can be 1, can be set as more according to actual demand from canopy 2
It is a, corresponding control device 21 is respectively provided with out of canopy 2, main canopy 1 includes：
Communication device 12 controls the control device 11 of main canopy 1 to adjust environmental parameter in main canopy 4 for obtaining
Control instruction, and control instruction is sent at least one control device 21 from canopy 2, and obtain respectively from the control device of canopy 2
21 according to control instruction to the feedback information that is obtained after respectively environmental parameter controls out of canopy 2.
Controller 13, for being adjusted according to feedback information to control instruction.
Preferably, control instruction includes：The water rate control controlled the water pump of main canopy instructs, fertilizer pump is controlled
Fertilizer amount control instruction, shutter is controlled roller shutter control instruction, air port is controlled ventilation quantity control instruction,
The signal light control instruction controlled light compensating lamp, the gas concentration lwevel control controlled carbon-dioxide generator refer to
It enables.
Preferably, it is further included in main canopy 1：
Sensor 14 is acquired, for acquiring the environmental information in main canopy 1.
Processor 15 for carrying out processing analysis to environmental information, obtains what the environmental parameter in main canopy 1 was adjusted
Control instruction.
Preferably, processor 15 includes：
Neural network learning unit 151 is trained study to collected environmental information for passing through neural network, obtains
To environmental model.
Analytic unit 152, for carrying out processing analysis to environmental information according to environmental model.
Preferably, neural network learning unit 151 is additionally operable to be trained feedback information study by neural network, right
Environmental model is modified.
A kind of greenhouse intelligent management system provided in this embodiment carries out environmental parameter in main canopy by controller
Control, and pass through communication device and be sent to control instruction on a 50-50 basis respectively from the control device of canopy, make respectively from the control device of canopy
The environment out of canopy can be automatically controlled, and the control instruction in main canopy is adjusted according to the adjusting feedback out of canopy,
Main canopy and the linkage from canopy are realized, implementation information can be fed back in time, and change in time according to from the implementation result of canopy
The control program of main canopy disclosure satisfy that the individual character of Different Crop changes environmental demand, and without relying on manual adjustment, adjustment speed
It is fast efficient, the environment all-the-time stable in canopy can be made in perfect condition.
Reader should be understood that in the description of this specification reference term " one embodiment ", " is shown " some embodiments "
The description of example ", " specific example " or " some examples " etc. mean to combine the specific features of the embodiment or example description, structure,
Material or feature are contained at least one embodiment of the present invention or example.In the present specification, above-mentioned term is shown
The statement of meaning property need not be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the different embodiments or examples described in this specification and the spy of different embodiments or examples
Sign is combined.
It is apparent to those skilled in the art that for convenience of description and succinctly, the dress of foregoing description
The specific work process with unit is put, the corresponding process in preceding method embodiment can be referred to, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of unit, only
A kind of division of logic function, can there is an other dividing mode in actual implementation, for example, multiple units or component can combine or
Person is desirably integrated into another system or some features can be ignored or does not perform.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
Component may or may not be physical unit, you can be located at a place or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected according to the actual needs to realize the mesh of the embodiment of the present invention
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit is individually physically present or two or more units integrate in a unit.It is above-mentioned integrated
The form that hardware had both may be used in unit is realized, can also be realized in the form of SFU software functional unit.
If integrated unit realized in the form of SFU software functional unit and be independent product sale or in use, can
To be stored in a computer read/write memory medium.Based on such understanding, technical scheme of the present invention substantially or
Saying all or part of the part contribute to the prior art or the technical solution can be embodied in the form of software product
Out, which is stored in a storage medium, is used including some instructions so that a computer equipment
(can be personal computer, server or the network equipment etc.) performs all or part of each embodiment method of the present invention
Step.And aforementioned storage medium includes：USB flash disk, read-only memory (ROM, Read-OnlyMemory), is deposited mobile hard disk at random
The various media that can store program code such as access to memory (RAM, RandomAccessMemory), magnetic disc or CD.
More than, only specific embodiment of the invention, but protection scope of the present invention is not limited thereto is any to be familiar with
Those skilled in the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or substitutions,
These modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be wanted with right
Subject to the protection domain asked.
Claims (10)
1. a kind of greenhouse intelligent management, which is characterized in that including：
It obtains and is controlled the control device of main canopy control instruction to adjust environmental parameter in the main canopy, and by the control
System instruction is sent at least one control device from canopy；
Each control device from canopy is obtained according to the control instruction to each described after environmental parameter controls out of canopy
Obtained feedback information；
The control instruction is adjusted according to the feedback information.
2. greenhouse intelligent management according to claim 1, which is characterized in that the control instruction includes：It is right
The instruction of water rate control that the water pump of the main canopy is controlled, the fertilizer amount control instruction controlled to fertilizer pump, to shutter into
The roller shutter control instruction of row control, the ventilation quantity control instruction controlled to air port, the light control controlled light compensating lamp
System instruction, the gas concentration lwevel control instruction controlled carbon-dioxide generator.
3. greenhouse intelligent management according to claim 1 or 2, which is characterized in that the acquisition is to main canopy
Control device is controlled to adjust in the main canopy before the control instruction of environmental parameter, is further included：
Acquire the environmental information in main canopy；
Processing analysis is carried out to the environmental information, obtains the control instruction that the environmental parameter in the main canopy is adjusted.
4. greenhouse intelligent management according to claim 3, which is characterized in that it is described to the environmental information into
Row processing analysis, specifically includes：
Study is trained to the collected environmental information by neural network, obtains environmental model；
Processing analysis is carried out to the environmental information according to the environmental model.
5. greenhouse intelligent management according to claim 4, which is characterized in that further include：
Study is trained to the feedback information by neural network, the environmental model is modified.
6. a kind of greenhouse intelligent management system, which is characterized in that including：
Communication device is referred to for obtaining to control the control device of main canopy with the control for adjusting environmental parameter in the main canopy
It enables, and the control instruction is sent at least one control device from canopy, and obtain each control device root from canopy
According to the control instruction to each feedback information obtained after environmental parameter controls out of canopy；
Controller, for being adjusted according to the feedback information to the control instruction.
7. greenhouse intelligent management system according to claim 6, which is characterized in that the control instruction includes：It is right
The instruction of water rate control that the water pump of the main canopy is controlled, the fertilizer amount control instruction controlled to fertilizer pump, to shutter into
The roller shutter control instruction of row control, the ventilation quantity control instruction controlled to air port, the light control controlled light compensating lamp
System instruction, the gas concentration lwevel control instruction controlled carbon-dioxide generator.
8. the greenhouse intelligent management system described according to claim 6 or 7, which is characterized in that further include：
Sensor is acquired, for acquiring the environmental information in main canopy；
Processor for carrying out processing analysis to the environmental information, obtains that the environmental parameter in the main canopy is adjusted
Control instruction.
9. greenhouse intelligent management system according to claim 8, which is characterized in that the processor includes：
Neural network learning unit is trained study to the collected environmental information for passing through neural network, obtains
Environmental model；
Analytic unit, for carrying out processing analysis to the environmental information according to the environmental model.
10. greenhouse intelligent management system according to claim 9, which is characterized in that the neural network learning list
Member is additionally operable to be trained study to the feedback information by neural network, and the environmental model is modified.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711423181.9A CN108153357B (en) | 2017-12-25 | 2017-12-25 | Intelligent management method and system for greenhouse |
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|---|---|---|---|
| CN201711423181.9A CN108153357B (en) | 2017-12-25 | 2017-12-25 | Intelligent management method and system for greenhouse |
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| Publication number | Publication date |
|---|---|
| CN108153357B (en) | 2020-09-29 |
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