CN117075547B - Optimized regulation and control method for lettuce cultivation environment in plant factory - Google Patents
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- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 17
- 239000001569 carbon dioxide Substances 0.000 claims description 17
- 238000005286 illumination Methods 0.000 claims description 16
- 230000005068 transpiration Effects 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 12
- 229920006395 saturated elastomer Polymers 0.000 claims description 12
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Abstract
The invention provides a method for optimizing and regulating and controlling lettuce cultivation environment in a plant factory, which comprises the following steps: s1, establishing and mutually coupling environment variables; s2, establishing lettuce state variables and coupling the lettuce state variables with environment variables; s3, establishing an environment optimization strategy; s4, feedback of an environment control strategy and optimal control of the environment. According to the method for optimizing and regulating the lettuce cultivation environment in the plant factory, provided by the invention, the lettuce growth state is used as a group of state variables, and the environment variables and the crop state variables are coupled by using a model method, so that the regulation strategy can more accurately meet the lettuce growth requirement, and the production efficiency, the yield and the quality are improved.
Description
Technical Field
The invention relates to the field of plant factory planting, in particular to an optimized regulation and control method for lettuce cultivation environment in a plant factory.
Background
The lettuce planted in the plant factory can be continuously planted throughout the year, is not limited by seasons and climate conditions, and realizes high yield through high-density planting, so that the method has irreplaceable cultivation advantages. The environmental regulation in the plant factory can also effectively reduce the water and fertilizer consumption, improve the utilization resource efficiency through the supply of circulating water and accurate fertilizer, eliminate the dependence on pesticides and avoid the pollution of soil and water sources. The importance of environmental regulation is that the plant growth and development are promoted to the greatest extent by optimizing environmental factors such as temperature, light, water, carbon dioxide and the like required by the plant growth, the crop yield and quality are improved, and the resource utilization efficiency is improved.
Currently, in plant factory cultivation of lettuce, the main environmental regulation methods include threshold-based and environmental variation-based regulation. The regulation and control based on the preset threshold value is that when the environmental parameter exceeds or is lower than the set threshold value, corresponding regulation and control measures are triggered, such as temperature and humidity and carbon dioxide concentration control; the regulation and control based on the environment variation is to continuously monitor the variation of the environment parameters, judge the variation trend, and regulate and control according to the variation trend, such as illumination and temperature control. At present, the regulation methods are generally provided with sensors and automatic control devices, and can be regulated according to real-time environment data and set target values so as to stabilize the environment parameters within a proper growth condition range, thereby realizing the purpose of environment regulation. However, in plant factories, not only the environment is changed, but also plants are constantly growing and developing. At the same time, the change of the growth of the plants can bring about the change of the environment. For example, the transpiration of the plant leaves causes a large amount of water vapor to diffuse into the air, thereby increasing the air humidity and taking away a part of heat energy in the air, thereby causing temperature and humidity changes; at the same time, the transpiration is also subjected to illumination intensity and CO 2 And the concentration is regulated and controlled to be in a dynamic change state. Thus, in plant factory cultivation, plants interact and influence with the environment at all times. However, since the change of the plant state cannot be accurately monitored, the current environmental optimization regulation method considering the interaction of the plant and the environment is still blank.
Lettuce is the crop with the largest cultivation area in the plant factory at present, so that an environment optimization regulation method in the plant factory cultivation which fuses the growth state of lettuce needs to be developed.
Disclosure of Invention
The invention aims to provide a method for optimizing and regulating and controlling lettuce cultivation environment in a plant factory, which comprises the following steps: s1, establishing and mutually coupling environment variables; s2, establishing lettuce state variables and coupling the lettuce state variables with environment variables; s3, establishing an environment optimization strategy; s4, feedback of an environment control strategy and optimal control of the environment.
Specifically, the invention provides a plant factory lettuce cultivation environment optimization regulation method, which comprises the following specific steps:
s1, establishing and mutually coupling environment variables
S1.1. establishment of environmental variables
Key environmental variables required for lettuce growth include indoor temperature T in Indoor humidity RH in Illumination intensity PPFD and carbon dioxide concentration Ca; the environmental variables can be through the sensor network that temperature and humidity sensor, carbon dioxide sensor, light intensity sensor construct, according to the time interval (for example 5 minutes) timing acquisition data that presumes, and will [ i ]]The environmental variable data of the moment is recorded as follows: t (T) [i] ,RH [i] ,PPFD [i] ,Ca [i] ；
S1.2 coupling of environmental variables to environmental states
The environment variables are not independent of each other, but have coupling influence, so that the environment states are determined together, and the environment states comprise changing the saturated vapor pressure difference VPD, the latent heat/sensible heat epsilon of saturated air and the enthalpy h of air; the environmental variable can indirectly influence the physiological response of the plant through the environmental state, so that the interrelationship between the environmental variable and the environmental state can be established through a mathematical formula, and the interrelationship between the environmental variable and the lettuce state variable can be further established.
S1.2.1 coupling of temperature and humidity variables and saturated vapor pressure differences
Environment variable T in With RH in Coupling with a saturated vapor pressure difference VPD through a formula I; VPD at any time [i] The calculation formula of (2) is as follows:
VPD [i] ＝0.36×exp(0.05×T [i] )-(RH [i] /100)×0.36×exp(0.05×T [i] ) (public)Coupling of a temperature variable of formula I) S1.2.2. With air "latent/sensible
Under the current environmental conditions, the temperature changes by 1 ℃ and the latent heat/sensible heat epsilon of saturated air [i] Coupled with temperature variables by equation II:
ε [i] ＝0.7156×exp(0.0533×T [i] ) (formula II)
S1.2.3 coupling of air temperature and humidity and air enthalpy
The enthalpy value in the air refers to the total heat contained in the air and is influenced by the temperature and the humidity; enthalpy value h [i] Calculated from calculation formula III-formula V:
h [i] ＝(1.01+1.84×d [i] )×T [i] +2500×d [i] (formula III)
d [i] ＝(0.622×RH [i] /100×Ps [i] /1000)/(101.3-RH [i] /100×Ps [i] /1000) (formula IV)
Ps [i] ＝133.332×exp(18.3036-3816.44/(T [i] + 227.02)) (equation V)
S2, establishing lettuce state variables and coupling the lettuce state variables with environment variables
S2.1. establishment of growth State variable
The lettuce state variables established by the invention comprise leaf area index LAI, growth rate GR, leaf light interception Rn and transpiration rate E; the interrelationship between state variables and environmental variables can be described by mathematical formulas;
s2.2 coupling of leaf area index with temperature
Leaf area index LAI at any time [i] The correlation related to the effective accumulated GDD of temperature is formula VI:
LAI [i] ＝exp(3.35+0.015×GDD [i] -1.152e -5 ×GDD [i] 2 ) X54/10000 (formula VI)
Wherein the GDD [i] Is the cumulative amount of effective temperature, GDD [i] ＝T [i] -5+T [i-1]
S2.3 coupling of cumulative growth with illumination
Cumulative growth GR at any time [i] The correlation related to the leaf area index variation and the illumination intensity is shown as formula VII:
GR [i] ＝I [i] ×(1-exp(-0.3×LAI [i] ))×59.4+GR [i-1] (formula VII)
Wherein I is [i] ＝PPFD [i] /2.6/(10^6)×300
S2.4 coupling of blade State variables to Environment
The state variables of the blades comprise blade light interception Rn and transpiration rate E; wherein, the blade light interception Rn is related to LAI and illumination intensity PPFD, and the related relation is formula VIII; the transpiration rate E is related to LAI, VPD, rn and epsilon, and the related relation is shown as a formula IX; rn at any time [i] And E is [i] The calculation formulas of (a) are respectively as follows:
Rn [i] ＝(1-exp(-0.3×LAI [i] ))×PPFD [i] 2 (formula VIII)
Wherein rb is [i] The boundary layer resistance is the physical attribute of the blade, and the value is 309.76s/m; rs [i] Is air hole resistance, physiological property of blade, VPD [i] Influence and with PPFD [i] The correlation is as follows:
s3, establishing an environment optimization strategy
The environmental optimization regulation strategy in the present invention includes the use of transpiration rate E [i] The air circulation fan at the upper part of the canopy is used for judging the opening and closing of the air circulation fan at the upper part of the canopy; air conditioning cooling and dehumidifying regulation and control by taking the enthalpy value and the temperature and the humidity of air as judgment bases; CO based on growth rate GR 2 Concentration adjustment;
s3.1. circulating fan opening and closing strategy
According to the calculation result of the formula VI, the opening and closing basis of the circulating fan is set as follows:
s3.2. temperature and humidity control strategy
In the temperature and humidity control process, in order to reduce energy consumption and unnecessary energy waste, the invention uses the current temperature T [i] And the current humidity RH [i] As the model input value, the air enthalpy value h is calculated by using a formula III-a formula V [i] As a decision judgment basis, the method can effectively avoid the energy waste caused by repeated fluctuation of temperature and humidity due to a control method of fixed temperature and humidity. The control strategy is as follows: when h [i] >50KJ/kg, then "dehumidification on" or "reduced temperature"; when h [i] <40KJ/kg, then "turn on humidification" or "raise temperature"; the judgment basis is as follows:
s3.3. carbon dioxide supplementation strategy
The timing of carbon dioxide supplementation is related to LAI changes; when LAI [i] Is greater than LAI [i+1] And LAI [i] When the second derivative of (2) is greater than 0, the corresponding GDD [i] Namely, the carbon dioxide supplementing time point; when GDD is larger than this point, and Ca<At 700ppm, make-up CO is turned on 2 ", when Ca>At 750ppm, "stop CO supplementation 2 ”；
S4, environmental control strategy feedback and environmental optimization control
S3, the generated environment optimization strategy sends the control strategy to a corresponding control unit by calling an API interface, so that feedback of the control strategy to the control unit is realized; and executing a control strategy by the control unit to realize environment optimization control.
The technical key point of the invention
1. Coupling of lettuce state variables to environment variables: and the fine coupling regulation and control of the state variable and the environment variable is realized by establishing a correlation model between the lettuce state variable and the environment variable. The regulation strategy can more accurately meet the growth requirement of lettuce, and the growth efficiency, yield and quality are improved.
2. Making an environment optimization strategy: according to the collected real-time environmental data and the simulation operation of the coupling model, an environmental optimization strategy is formulated, and the temperature, humidity and CO of plant growth can be responded in real time 2 The concentration requirement improves the efficiency and quality of lettuce plant factories; by means of the enthalpy value h of the air [i] As a decision judgment basis, the method can effectively avoid the energy waste caused by repeated fluctuation of temperature and humidity due to a control method of fixed temperature and humidity.
Technical effects of the invention
1. Improving lettuce production efficiency: through fine coupling regulation and optimization of environmental conditions, the growth requirements of lettuce are met, and the growth rate and the development process of lettuce are promoted. Through an optimized environment regulation strategy, the harvesting requirement of 100 g/plant can be met after the lettuce Crunchy grows for 32 days, harvesting is performed 3 days earlier than the current 35-day production period, 1-crop of secondary vegetables can be increased more annually, and the production efficiency of lettuce plant factories is improved.
2. Improving lettuce yield and quality: through fan switching strategy and temperature and humidity control strategy, can regulate and control the environment according to the growth state of lettuce, make lettuce can grow under most suitable environmental conditions, not only can increase lettuce's output, can avoid the condition such as burning heart, burnt limit because of humidity is too big to appear moreover, promotes lettuce commodity quality.
3. Saving resources and reducing waste: by supplementing CO 2 Strategy for timely providing lettuce with CO 2 Supplement, avoid unnecessary CO 2 Waste. Through the temperature and humidity regulation strategy based on the air enthalpy value, a more accurate and targeted regulation strategy can be made for different environmental states, the energy waste caused by repeated fluctuation of temperature and humidity due to the fact that the conventional method utilizes a control method of fixed temperature and humidity can be effectively avoided, and the resource utilization is improved to the maximum extentEfficiency of use.
Drawings
FIG. 1 environmental variable parameter value schematic diagram
FIG. 2 lettuce state variable parameter value schematic diagram
FIG. 3 schematic diagram of decision results
Fig. 4 environmental control spot diagram
Detailed Description
In the following examples, the following method steps are referred to:
s1, establishing and mutually coupling environment variables
S1.1. establishment of environmental variables
Key environmental variables required for lettuce growth include indoor temperature T in Indoor humidity RH in Illumination intensity PPFD and carbon dioxide concentration Ca; the environmental variables can be through a sensor network constructed by a temperature and humidity sensor, a carbon dioxide sensor and a light intensity sensor, and the data are collected at regular time according to a set time interval and the [ i ]]The environmental variable data of the moment is recorded as follows: t (T) [i] ,RH [i] ,PPFD [i] ,Ca [i] ；
S1.2 coupling of environmental variables to environmental states
S1.2.1 coupling of temperature and humidity variables and saturated vapor pressure differences
Environment variable T in With RH in Coupling with a saturated vapor pressure difference VPD through a formula I; VPD at any time [i] The calculation formula of (2) is as follows:
VPD [i] ＝0.36×exp(0.05×T [i] )-(RH [i] /100)×0.36×exp(0.05×T [i] ) (equation I) coupling of S1.2.2. Temperature variable to air "latent/sensible heat
Under the current environmental conditions, the temperature changes by 1 ℃ and the latent heat/sensible heat epsilon of saturated air [i] Coupled with temperature variables by equation II:
ε [i] ＝0.7156×exp(0.0533×T [i] ) (formula II)
S1.2.3 coupling of air temperature and humidity and air enthalpy
The enthalpy value in the air refers to the total heat contained in the air and is influenced by the temperature and the humidity; enthalpy value h [i] Calculated from calculation formula III-formula V:
h [i] ＝(1.01+1.84×d [i] )×T [i] +2500×d [i] (formula III)
d [i] ＝(0.622×RH [i] /100×Ps [i] /1000)/(101.3-RH [i] /100×Ps [i] /1000) (formula IV)
Ps [i] ＝133.332×exp(18.3036-3816.44/(T [i] + 227.02)) (equation V)
S2, establishing lettuce state variables and coupling the lettuce state variables with environment variables
S2.1. establishment of growth State variable
Lettuce state variables include leaf area index LAI, growth rate GR, leaf light interception Rn, and transpiration rate E; the interrelationship between state variables and environmental variables can be described by mathematical formulas;
s2.2 coupling of leaf area index with temperature
Leaf area index LAI at any time [i] The correlation related to the effective accumulated GDD of temperature is formula VI:
LAI [i] ＝exp(3.35+0.015×GDD [i] -1.152e -5 ×GDD [i] 2 ) X54/10000 (formula VI)
Wherein the GDD [i] Is the cumulative amount of effective temperature, GDD [i] ＝T [i] -5+T [i-1]
S2.3 coupling of cumulative growth with illumination
Cumulative growth GR at any time [i] The correlation related to the leaf area index variation and the illumination intensity is shown as formula VII:
GR [i] ＝I [i] ×(1-exp(-0.3×LAI [i] ))×59.4+GR [i-1] (formula VII)
Wherein I is [i] ＝PPFD [i] /2.6/(10^6)×300
S2.4 coupling of blade State variables to Environment
The state variables of the blades comprise blade light interception Rn and transpiration rate E; wherein, the blade light interception Rn is related to LAI and illumination intensity PPFD, and the related relation is formula VIII; the transpiration rate E is related to LAI, VPD, rn and epsilon, and the related relation is shown as a formula IX; rn at any time [i] And E is [i] The calculation formulas of (a) are respectively as follows:
Rn [i] ＝(1-exp(-0.3×LAI [i] ))×PPFD [i] 2 (formula VIII)
Wherein rb is [i] The boundary layer resistance is the physical attribute of the blade, and the value is 309.76s/m; rs [i] Is air hole resistance, physiological property of blade, VPD [i] Influence and with PPFD [i] The correlation is as follows:
s3, establishing an environment optimization strategy
The environmental optimization regulation strategy in the present invention includes the use of transpiration rate E [i] The air circulation fan at the upper part of the canopy is used for judging the opening and closing of the air circulation fan at the upper part of the canopy; air conditioning cooling and dehumidifying regulation and control by taking the enthalpy value and the temperature and the humidity of air as judgment bases; CO based on growth rate GR 2 Concentration adjustment;
s3.1. circulating fan opening and closing strategy
According to the calculation result of the formula VI, the opening and closing basis of the circulating fan is set as follows:
s3.2. temperature and humidity control strategy
In the temperature and humidity control, the current temperature T is used [i] And the current humidity RH [i] As the model input value, the air enthalpy value h is calculated by using a formula III-a formula V [i] As decision judgment basis, the control strategy is: when h [i] >50KJ/kg, then "dehumidification on" or "reduced temperature"; when h [i] <40KJ/kg, then "turn on humidification" or "raise temperature"; the judgment basis is as follows:
s3.3. carbon dioxide supplementation strategy
The timing of carbon dioxide supplementation is related to LAI changes; when LAI [i] Is greater than LAI [i+1] And LAI [i] When the second derivative of (2) is greater than 0, the corresponding GDD [i] Namely, the carbon dioxide supplementing time point; when GDD is larger than this point, and Ca<At 700ppm, make-up CO is turned on 2 ", when Ca>At 750ppm, "stop CO supplementation 2 ”；
S4, environmental control strategy feedback and environmental optimization control
S3, the generated environment optimization strategy sends the control strategy to a corresponding control unit by calling an API interface, so that feedback of the control strategy to the control unit is realized; and executing a control strategy by the control unit to realize environment optimization control.
Example 1
Basic conditions:
this embodiment is used in a container plant factory. The length, width and height of the container plant factory are as follows:
5.9m*2.35m*2.39m。
lettuce varieties were derived from Rake seed company under the trade designation "Crunchy".
The environmental control system in the embodiment adopts Siemens S7-1200 series PLC as a control unit, and acquires environmental parameters (temperature, humidity and CO) in the container through an extended 485 module 2 Concentration, illumination intensity and other environmental parameters) and realizes the safe and stable operation of all the environmental control equipment in the container through strict linkage conditions.
The implementation steps are as follows:
s1, establishing and mutually coupling environment variables
Temperature T at any time acquired by the sensor [i] Humidity Rh [i] 、CO 2 Concentration of Ca [i] Illumination intensity PPFD [i] The environment parameters are entered into a database to form environment variables, as shown in FIG. 1, and the physical storage location pairs [ i ] are used to store the environment variables]Numbering is carried out. In this embodiment, the environment variable at i=4246 is input, and the environment variable parameter values are shown in fig. 1. According to the formula I-V, the current environment state variable VPD= 0.4184kPa, the latent heat/sensible heat epsilon=2.438 of saturated air and the enthalpy value h of air can be calculated [i] ＝51.189KJ/kg。
S2, establishing lettuce state variables and coupling the lettuce state variables with environment variables
When [ i ]]Effective accumulation of temperature GDD corresponding to 4246 = [i] LAI of lettuce determined by GDD = 245.45 ℃d [i] = 3.054. Calculated from formula VII, the cumulative growth of lettuce (i.e. weight of lettuce per unit area) GR [i] ＝1144.15g/m 2 . Light interception Rn of lettuce leaf [i] ＝82.592W/m 2 Transpiration rate E of leaves [i] ＝0.026g/m 2 And/s. The state variable parameters are shown in fig. 2.
S3, establishing an environment optimization strategy
E calculated from formula IX [i] ≥0.02g·m -2 ·s -1 The fan should be "on". Current temperature T [i] =23, humidity RH [i] Enthalpy value h of air =63.2 [i] = 51.189KJ/kg, and T [i] >22 ℃, satisfy h [i] >50KJ/kg，T [i] >22 c, thus requiring a "lowering of the temperature". Respectively calculating a first derivative and a second derivative according to a decision basis of S3.3, and finding out that the LAI is satisfied [i] Is greater than LAI [i+1] And LAI [i] When the second derivative of (2) is greater than 0, the corresponding GDD [i] ＝300.05℃d，[i]Gdd= 245.45 ℃ d at=4246, still less than 300.05 ℃ d, not satisfying supplementationCO 2 Is thus "not supplemented" with CO 2 . The control strategy is shown in fig. 3.
S4, environmental control strategy feedback and environmental optimization control
S3, feeding back the established strategy of turning on the fan to a circulating fan control API to control the circulating fan to be turned on; the strategy of 'reducing the temperature' is fed back to the air conditioner control API, and the air conditioner cooling function is started. Environmental control sites are shown in figure 4.
When a new set of environment variables enter the database, the decision system established by the invention automatically operates the operations of S1-S3, and in S4, the system performs decision judgment according to the environment state parameters and lettuce state parameters of a new round and feeds back the strategy to the API of the control system again, so that the control system realizes real-time regulation and control according to the current environment state and lettuce state, and the lettuce can always grow under the most suitable environment condition.
Therefore, through the optimized environment regulation strategy, the harvesting requirement of 100 g/plant can be met after the lettuce Crunchly grows for 32 days, and harvesting is performed 3 days earlier than the current 35-day production period, so that 1 batch of secondary vegetable planting can be increased more than one year, and the production efficiency of lettuce plant factories is improved.
In addition, through environmental control, lettuce can grow under the most suitable environmental condition, not only can increase lettuce's output, can avoid the condition such as burning heart, burnt limit that causes because of humidity is too big to appear moreover, promotes lettuce commodity quality.
Therefore, by the optimized regulation and control method for the lettuce cultivation environment in the plant factory, intelligent management and regulation and control for the lettuce cultivation in the plant factory can be realized, manpower and material resources are saved, and the quality, the yield and the production efficiency of lettuce can be greatly improved.
Claims (1)
1. The method for optimizing and regulating the lettuce cultivation environment in the plant factory is characterized by comprising the following specific steps:
s1, establishment and mutual coupling of environment variables
S1.1. establishment of environmental variables
Key environmental variables required for lettuce growth include indoor temperature T in Indoor humidity RH in Illumination intensity PPFD and carbon dioxide concentration Ca; the environmental variables can be through a sensor network constructed by a temperature and humidity sensor, a carbon dioxide sensor and a light intensity sensor, and the data are collected at regular time according to a set time interval and the [ i ]]The environmental variable data of the moment is recorded as follows: t (T) [i] , RH [i] , PPFD [i] , Ca [i] ；
S1.2 coupling of environmental variables to environmental State
S1.2.1 coupling of temperature and humidity variables to saturated vapor pressure differential
Environment variable T in With RH in Coupling with a saturated vapor pressure difference VPD through a formula I; VPD at any time [i] The calculation formula of (2) is as follows:
(formula I)
S1.2.2 coupling of temperature variable to air "latent/sensible
Under the current environmental conditions, the latent heat/sensible heat of saturated air when the temperature changes by 1 DEG CCoupled with temperature variables by equation II:
(formula II)
S1.2.3 coupling of air temperature and humidity with "enthalpy" of air
The enthalpy value in the air refers to the total heat contained in the air and is influenced by the temperature and the humidity; enthalpy value h [i] Calculated from calculation formula III-formula V:
(formula III)
(formula IV)
(formula V)
S2, establishing lettuce state variables and coupling the lettuce state variables with environment variables
S2.1 establishment of growth State variable
Lettuce state variables include leaf area index LAI, growth rate GR, leaf light interception Rn, and transpiration rate E; the interrelationship between state variables and environmental variables can be described by mathematical formulas;
s2.2 coupling of leaf area index with temperature
Leaf area index LAI at any time [i] The correlation related to the effective accumulated GDD of temperature is formula VI:
(formula VI)
Wherein,is the cumulative amount of effective temperature, +.>
S2.3 coupling of cumulative growth to illumination
Cumulative growth GR at any time [i] The correlation related to the leaf area index variation and the illumination intensity is shown as formula VII:
(formula VII)
Wherein,
s2.4 coupling of blade State variables to Environment
The state variables of the blades comprise blade light interception Rn and transpiration rate E; wherein, the blade light interception Rn is related to LAI and illumination intensity PPFD, and the related relation is formula VIII; the transpiration rate E is related to LAI, VPD, rn and epsilon, and the related relation is shown as a formula IX; rn at any time [i] And E is [i] The calculation formulas of (a) are respectively as follows:
(formula VIII)
(formula IX)
Wherein rb is [i] The boundary layer resistance is the physical attribute of the blade, and the value is 309.76s/m; rs [i] Is air hole resistance, physiological property of blade, VPD [i] Influence and with PPFD [i] The correlation is as follows:
s3, establishing environment optimization strategy
The environment optimization regulation strategy comprises the steps of transpiration rateThe air circulation fan at the upper part of the canopy is used for judging the opening and closing of the air circulation fan at the upper part of the canopy; air conditioning cooling and dehumidifying regulation and control by taking the enthalpy value and the temperature and the humidity of air as judgment bases; CO based on growth rate GR 2 Concentration adjustment;
s3.1 circulation fan opening and closing strategy
According to the calculation result of the formula VI, the opening and closing basis of the circulating fan is set as follows:
s3.2. Temperature and humidity control strategy
In the temperature and humidity control, the current temperature T is used [i] And the current humidity RH [i] As the model input value, the air enthalpy value h is calculated by using a formula III-a formula V [i] As decision judgment basis, the control strategy is: when h [i] >50KJ/kg, then "dehumidification on" or "reduced temperature"; when h [i] <40KJ/kg, then "turn on humidification" or "raise temperature"; the judgment basis is as follows:
s3.3. Carbon dioxide supplementation strategy
The timing of carbon dioxide supplementation is related to LAI changes; when (when)Is greater than +.>And (2) first derivative ofWhen the second derivative of (2) is greater than 0, the corresponding +.>Namely, the carbon dioxide supplementing time point; when GDD is larger than this point, and Ca<700 At ppm, the "make-up CO" is turned on 2 ", when Ca>750 At ppm, "stop CO supplementation 2 ”；
S4, environmental control strategy feedback and environmental optimization control
S3, the generated environment optimization strategy sends the control strategy to a corresponding control unit by calling an API interface, so that feedback of the control strategy to the control unit is realized; and executing a control strategy by the control unit to realize environment optimization control.
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