CN117850508A - Greenhouse environmental control decision method based on crop environment relative effect - Google Patents
Greenhouse environmental control decision method based on crop environment relative effect Download PDFInfo
- Publication number
- CN117850508A CN117850508A CN202311468741.8A CN202311468741A CN117850508A CN 117850508 A CN117850508 A CN 117850508A CN 202311468741 A CN202311468741 A CN 202311468741A CN 117850508 A CN117850508 A CN 117850508A
- Authority
- CN
- China
- Prior art keywords
- relative effect
- greenhouse
- environmental
- crop
- effect
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000007613 environmental effect Effects 0.000 title claims abstract description 77
- 230000000694 effects Effects 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 31
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 38
- 230000012010 growth Effects 0.000 claims abstract description 22
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 19
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 18
- 238000011217 control strategy Methods 0.000 claims abstract description 3
- 230000029553 photosynthesis Effects 0.000 claims abstract description 3
- 238000010672 photosynthesis Methods 0.000 claims abstract description 3
- 238000005286 illumination Methods 0.000 claims description 12
- 239000013589 supplement Substances 0.000 claims 2
- 230000001795 light effect Effects 0.000 abstract description 2
- 230000000243 photosynthetic effect Effects 0.000 description 8
- 230000001502 supplementing effect Effects 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 230000003698 anagen phase Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 230000002277 temperature effect Effects 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 235000007688 Lycopersicon esculentum Nutrition 0.000 description 1
- 240000003768 Solanum lycopersicum Species 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Landscapes
- Greenhouses (AREA)
Abstract
The invention belongs to the technical field of intelligent environmental control of greenhouses, and particularly discloses a greenhouse environmental control decision method based on the relative effect of crop environments. The method comprises the following steps: a. determining photosynthesis of different environmental factors of crops, and simulating and determining a model of the relative thermal effect, the relative light effect, the relative humidity effect and the relative carbon dioxide effect of the crops; b. quantifying the environmental factors of light, temperature, humidity and gas in the crop growth environment collected by the sensor into relative effect factors related to crops according to the crop environmental relative effect model; c. setting a starting and closing strategy of greenhouse environmental control equipment according to a threshold value of an environmental relative effect; d. and executing the ring control strategy. The method disclosed by the invention is more suitable for crop growth, and is more energy-saving and efficient.
Description
Technical Field
The invention belongs to the technical field of intelligent environmental control of greenhouses, and particularly relates to a greenhouse environmental control decision method based on the relative effect of crop environments.
Background
In greenhouse planting management, environmental factors have a decisive influence on the growth and development of crops. Environmental parameters such as temperature, humidity, illumination, carbon dioxide concentration in the greenhouse need to be accurately monitored and controlled to create conditions optimal for crop growth. The rise of the agricultural technology of the Internet of things provides a more intelligent solution for greenhouse environment monitoring and control, the environment sensor can monitor indoor environment changes, the greenhouse environmental control equipment is combined, a reasonable environment threshold value is set, fine regulation and control on the greenhouse environment can be realized, and therefore proper environment support is provided for the growth of crops.
However, to achieve precise control of the greenhouse environment and to provide optimum conditions for the full growth phase, it is necessary to fully take into account differences in the feedback effects of the crop on environmental factors at different growth phases. The growth process of crops can be generally divided into different stages of seedling stage, growing stage and maturing stage, and the requirements of each stage on environmental factors such as temperature, humidity, illumination and the like are different. At present, the greenhouse environmental control is based on experience setting threshold values, and the dynamic growth requirements of different stages of crops cannot be met. The purpose of greenhouse environmental control is to maximize the photosynthetic rate of crops and to make the accumulation of substances fastest, and by adopting algorithms such as crop growth models, photosynthetic models, artificial intelligence and the like, the environmental data in the greenhouse can be subjected to depth analysis and pattern recognition, and the environmental factors acquired by the sensor are converted into feedback factors of the crops on the environment, so that the feedback relation of the crops on the environmental factors can be better understood. By combining the growth characteristics and the demands of crops and dynamically adjusting the environmental parameters in the greenhouse in different growth stages, the greenhouse environmental control can be more accurate and personalized.
Disclosure of Invention
In order to solve the problems, the invention discloses a greenhouse environmental control decision method based on the relative effect of crop environment, which provides more accurate environmental control decision for the whole growth process of crops.
The invention discloses a greenhouse environmental control decision method based on the relative effect of crop environments, which is characterized by comprising the following steps:
a. respectively determining environmental relative effect models of different growth stages of crops through a photosynthesis model;
b. quantifying the environmental factors of light, temperature, humidity and gas in the crop growth environment collected by the sensor into relative effect factors related to crops according to the crop environmental relative effect model;
c. determining a starting and closing strategy of greenhouse environmental control equipment according to the change trend of the environmental relative effect;
d. and executing the ring control strategy.
The greenhouse environmental control decision method based on the crop environmental relative effect is characterized in that the environmental relative effect models are respectively as follows: a model of illumination relative effect, a model of temperature relative effect, a model of humidity relative effect, a model of carbon dioxide relative effect.
The greenhouse environmental control decision method based on the crop environment relative effect is characterized in that a temperature and humidity relative effect model is fitted by adopting a trigonometric function model, and an illumination and carbon dioxide relative effect model is fitted by adopting a negative exponential function model.
The greenhouse environmental control decision-making method based on the crop environmental relative effect is characterized in that the environmental relative effect is in a range of 0-1, and the larger the value is, the more suitable the environment is for crop growth.
The greenhouse environmental control decision-making method based on the crop environment relative effect is characterized in that a threshold value of the temperature relative effect is used as a greenhouse temperature control decision-making basis.
The greenhouse environmental control decision-making method based on the crop environmental relative effect is characterized in that a threshold value of the humidity relative effect is used as a greenhouse humidity control decision-making basis.
The greenhouse environmental control decision-making method based on the crop environment relative effect is characterized in that a threshold value of the illumination relative effect is used as a light supplementing control decision basis.
The greenhouse environmental control decision-making method based on the crop environment relative effect is characterized in that a threshold value of the carbon dioxide relative effect is used as a greenhouse carbon dioxide control decision-making basis.
The greenhouse environmental control decision-making method based on the crop environmental relative effect is characterized in that when the environmental control decision-making is executed, which energy consumption is low and which strategy is executed preferentially.
According to the greenhouse environmental control decision-making method, the physiological and ecological characteristics of crops are comprehensively considered, and the analysis method driven by data is utilized, so that more refined and intelligent environmental control decision-making can be realized through greenhouse planting management. This will further increase the yield and quality of crops and drive the development of greenhouse agriculture towards a more sustainable, efficient direction.
Advantageous effects
The invention has the following advantages:
1. the invention takes the feedback effect of crops on environmental factors as the basis of greenhouse environmental control decision, and the created greenhouse environment is more suitable for the growth of crops.
2. The invention adopts algorithms such as crop growth model, photosynthetic model, artificial intelligence and the like, fully considers the difference of each growth stage of crops, and provides a global and precise environmental control basis for the crops.
3. The invention adopts the environmental control decision strategy with the preferential benefit, and preferentially executes the environmental control instruction with low energy consumption so as to obtain the maximum crop yield with lower energy consumption.
Drawings
FIG. 1 shows decision logic for comprehensive environmental control of a greenhouse
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims of the present application or in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The following describes the embodiments of the present invention in further detail with reference to the drawings.
The instantaneous photosynthetic rate of crops reflects the index that the greenhouse environment factor is not proper and most sensitive, when the greenhouse environment changes, the photosynthetic rate can respond instantaneously, the response time can be currently carried out by taking a second scale as a scale, and the bigger the photosynthetic rate of crops, the more proper the greenhouse environment at the moment, the faster and better the crop grows. The meteorological environment factors in the greenhouse mainly comprise factors such as temperature, light intensity, humidity, carbon dioxide and the like, and whether the temperature is proper or not is judged by the relative temperature effect or not, and decision is needed; the relative humidity effect is used for judging whether the humidity is proper or not and whether adjustment is needed or not; judging whether illumination is proper or not according to the illumination effect, and judging whether adjustment is needed or not; the carbon dioxide effect is used to determine whether the gas is suitable or not and whether adjustment is required.
1. Greenhouse environment relative effect model decision-making library
1. Relative light effect Pi model:
2. model of relative CO2 effect Ci:
C i ＝1-e -k*C
3. relative temperature effect Ti model:
4. relative humidity effect Ri model:
5. crop actual photosynthetic rate model:
P n ＝P n,max ×P i ×T i ×R i ×C i
note that: in the above formula, the values to be input are real-time data collected by the environmental sensor, such as: temperature T (. Degree. C.); light intensity LX (lux)/photosynthetically active radiation PAR (umol m) -2 s -1 ) The method comprises the steps of carrying out a first treatment on the surface of the Humidity RH (%); carbon dioxide C (ppm).
Other parameters are fixed values in a certain period, and tomato is taken as an example, and the parameters are as follows:
note that: the reference values can be used as model verification, and when a specific variety is involved, accurate parameter values of each growth stage are required to be obtained through a Li-6400/6800 photosynthetic apparatus.
2. Greenhouse environmental control autonomous decision logic:
1. environment control decision logic
According to the formula, the relative environmental effect of crops can be calculated, then the relative environmental effect of the crops is used for carrying out logic control on greenhouse environmental control equipment, and compared with the traditional environmental control method based on sensor data, the environmental control method can remarkably improve the growth quality of the crops, and a logic framework is shown in figure 1.
2. Integrated ring control logic instruction
(1) Greenhouse temperature control decision
a, ti is less than 0.8, and when T is more than or equal to 25 ℃, a skylight, a side window and a fan are opened;
b.Ti is less than 0.6, and when T is more than or equal to 25 ℃, sunshade is opened by half;
c.Ti <0.35, when T is more than or equal to 25 ℃, the skylight and the side window are closed, and the wet curtain (and the side window behind the wet curtain) is used for cleaning the skylight and the side window
Opening;
when Ti is less than 0.3, T is more than or equal to 25 ℃ and Pi is more than 0.90, sunshade is fully opened;
e, ti is more than 0.55, and when T is more than or equal to 25 ℃, closing the wet curtain;
f, ti is more than 0.6, when T is more than or equal to 25 ℃, the sun-shading is closed by half, the skylight and the side window are opened;
ti is more than 0.8, and sunshade is completely closed when T is more than or equal to 25 ℃;
h.Ti is more than 0.9, and when T is more than or equal to 25 ℃, the fan is turned off-;
i.T when the temperature is below 18 ℃, the skylight and the side window are closed;
when Ti is less than 0.6 and T is less than 25 ℃, the skylight and the side window are closed;
ti is more than 0.9, when T is less than 25 ℃ and Ci is less than 0.8, the skylight and the side window are opened;
when Ti is less than 0.4 and T is less than 25 ℃, starting a warm air blower/air conditioner for heating;
and when Ti is more than 0.8 and T is less than 25 ℃, the warm air blower/air conditioner is turned off for heating.
(2) Greenhouse illumination control decision
When Pi is less than 0.6, turning on a light supplementing lamp;
when Pi is more than 0.9, the light supplementing lamp is turned off;
pi <0.5, 30 is less than or equal to T <35, sunshade is opened by half;
when Pi is less than 0.5 and T is less than 30, the sunshade is fully opened;
e. setting the running period to 8:00-16:00;
(3) Greenhouse humidity control decision
When Ri <0.5 and RH <60%, turning on the humidifier;
ri >0.8, RH <60%, turn off humidifier;
c, when Ri is less than 0.5 and RH is more than or equal to 60%, turning on a fan;
d, when Ri is more than 0.8 and RH is more than or equal to 60%, the fan is turned off;
(4) Greenhouse carbon dioxide control decision
Ci <0.7, insufficient carbon dioxide, start ventilation/start up of the carbon dioxide make-up device;
ci >0.9, closing the carbon dioxide supplementing device;
c, ci is more than 0.9, ti is less than 0.6, T is less than 25 ℃, the carbon dioxide supplementing device is closed, and ventilation is closed.
In summary, the greenhouse planting management adopting the method can accurately meet the requirements of crops, improve the yield and the quality, save resources, reduce the cost, and realize sustainable and intelligent development of greenhouse agriculture by means of data-driven decision support.
Claims (8)
1. A greenhouse environmental control decision-making method based on the relative effect of crop environment, which is characterized by comprising the following steps:
a. respectively determining environmental relative effect models of different growth stages of crops through a photosynthesis model;
b. quantifying the environmental factors of light, temperature, humidity and gas in the crop growth environment collected by the sensor into relative effect factors related to crops according to the crop environmental relative effect model;
c. setting a starting and closing strategy of greenhouse environmental control equipment according to a threshold value of an environmental relative effect;
d. and executing the ring control strategy.
2. The greenhouse environmental control decision method based on the relative effect of crop environment according to claim 1, wherein the environmental relative effect models are respectively: a model of illumination relative effect, a model of temperature relative effect, a model of humidity relative effect, a model of carbon dioxide relative effect.
3. The greenhouse environmental control decision method based on the crop environment relative effect according to claim 2, wherein the temperature and humidity relative effect model is fitted by adopting a trigonometric function model, and the illumination and carbon dioxide relative effect model is fitted by adopting a negative exponential function model.
4. The greenhouse environmental control decision-making method based on the relative effect of crop environment according to claim 1, wherein the relative effect of environment ranges from 0 to 1, and the larger the value, the more suitable the environment for crop growth.
5. The greenhouse environmental control decision-making method based on the crop environmental relative effect according to claims 1-4, wherein the threshold value of the temperature relative effect is used as a greenhouse temperature control decision basis to sequentially control the opening and closing of temperature control equipment such as a skylight, a fan, a wet curtain, a sunshade and an air conditioner in a greenhouse.
6. The greenhouse environmental control decision-making method based on the crop environmental relative effect according to claims 1-4, wherein the threshold value of the humidity relative effect is used as a greenhouse humidity control decision basis to sequentially control the opening and closing of humidity control equipment such as a skylight, a fan, a humidifier and the like in a greenhouse.
7. The greenhouse environmental control decision-making method based on the relative effect of crop environments according to claims 1-4, wherein the threshold value of the relative effect of illumination is used as a basis for the decision-making of light supplement control to control the opening and closing of sun-shading and light supplement illumination control equipment in the greenhouse.
8. The greenhouse environmental control decision-making method based on the relative effect of crop environment according to claims 1-4, wherein the threshold value of the relative effect of carbon dioxide is used as a basis for greenhouse carbon dioxide control decision-making.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311468741.8A CN117850508A (en) | 2023-11-07 | 2023-11-07 | Greenhouse environmental control decision method based on crop environment relative effect |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311468741.8A CN117850508A (en) | 2023-11-07 | 2023-11-07 | Greenhouse environmental control decision method based on crop environment relative effect |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117850508A true CN117850508A (en) | 2024-04-09 |
Family
ID=90537219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311468741.8A Pending CN117850508A (en) | 2023-11-07 | 2023-11-07 | Greenhouse environmental control decision method based on crop environment relative effect |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117850508A (en) |
-
2023
- 2023-11-07 CN CN202311468741.8A patent/CN117850508A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106155144B (en) | A kind of environmental control of greenhouse method and device | |
| CN107846853B (en) | Water culture device | |
| CN110825139A (en) | Greenhouse intelligent management system based on Internet of things | |
| CN204270181U (en) | A kind of long-range intelligent control system for greenhouse | |
| CN109144151A (en) | Environmental control system is given up in livestock-raising field | |
| CN107728473B (en) | Multi-parameter cooperative control system and regulation and control method for greenhouse environment | |
| CN103749212A (en) | Plant growth characteristics based adaptive tracking and changing system of greenhouse colored films | |
| WO2023142884A1 (en) | Smart greenhouse control system and method | |
| CN206039339U (en) | Intelligence big -arch shelter control system based on thing networking | |
| CN105843299A (en) | Multivariable interval control method for greenhouse environment system | |
| CN108762063B (en) | Circulating ventilation cooling system of wet curtain fan of sunlight greenhouse and control method thereof | |
| CN104996199B (en) | A kind of effective carbon-dioxide fertilizer apparatus and fertilizing method | |
| KR102384049B1 (en) | Ventilation control system by automatic for greenhouse in Smart farm | |
| CN105676922A (en) | Greenhouse regulation and control optimization method | |
| CN104216445A (en) | Greenhouse flower auto-irrigation control system and control method thereof | |
| CN102156469A (en) | Intelligent control system for edible mushroom industrial cultivation | |
| CN117850508A (en) | Greenhouse environmental control decision method based on crop environment relative effect | |
| JP6573849B2 (en) | Agricultural house environment controller | |
| CN205812975U (en) | A kind of intelligent greenhouse planting unit realizing high in the clouds monitoring | |
| CN112034916B (en) | Greenhouse Control System | |
| CN204390080U (en) | A kind of automatic irrigating control system for Greenhouse Flower | |
| CN116449897A (en) | Greenhouse environment optimal control method, server and system | |
| Bailey | Greenhouse climate control-new challenges | |
| CN102012711A (en) | Automatic temperature and humidity controller for greenhouses | |
| JP2018171042A (en) | Cultivation environment control system, cultivation system, cultivation environment control method, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |