CN105676922A - Greenhouse regulation and control optimization method - Google Patents

Abstract

The invention provides a greenhouse regulation and control optimization method and relates to a temperature control or regulating system. The greenhouse regulation and control optimization method is characterized in that a relation expression between crop growth rate and environmental factors is obtained through a crop growth model; the optimum temperature value determined under some illumination intensity is utilized to replace the roughly-set value obtained based on experience in a conventional method; a regulation and control cost model is established, and the operation cost of a regulation and control device can be calculated; and according to the accumulated temperature theory, the method enables the temperature set value of a day to be divided into three stages instead of a conventional method of day-night two temperature setting values: during high-illumination daytime, the temperature value is set according to the optimum photosynthesis principle; during low-temperature after midnight, the temperature value is set according to optimum cost principle; and accumulated temperature compensation is carried out during before midnight, when the temperature is moderate and compensation cost is low. The method can meet temperature value required for crop optimum photosynthesis, is low in accumulated temperature compensation cost and is good in benefit.

Description

A kind of greenhouse optimising and adjustment method

Technical field

The present invention relates to temperature control or adjustment system, particularly to a kind of greenhouse optimising and adjustment method.

Background technology

In tradition hothouse production process, the setting of greenhouse environment factor substantially empirically, is drawn the control environment of plant growth, and is not suitable for the upper and lower limit temperature of plant growth by observation different weather situation and plant growth situation. The mode that greenhouse is adjusted by this dependence experience, can be said to be good although running, but benefit, not satisfactory, there is very big room for improvement.

Summary of the invention

For the defect that prior art exists, it is an object of the invention to provide a kind of greenhouse optimising and adjustment method, it is easy to use, can effectively reduce the operating cost of existing regulation and control.

The technical solution adopted in the present invention is: a kind of greenhouse optimising and adjustment method, it is characterised in that: comprise the steps:

The classification of the plant according to plantation, the lower limit of the limiting temperature of the preset plant growing corresponding with this plant and higher limit;

When meeting the limiting temperature of above-mentioned plant growing, in one day, the adjustment of greenhouse temperature being divided into three phases, the first stage is the daytime that illumination is stronger, reconciles temperature indoor temperature with light and optimum for principle; Second stage is that temperature is relatively low after midnight, regulates temperature indoor temperature with Optimum cost for principle; It is before midnight in the phase III, regulates temperature indoor temperature with accumulated temperature compensation for principle.

Described reconciles the step of temperature indoor temperature with light and optimum for principle, specifically includes:

Obtain light and the action function of plant;

According to above-mentioned function obtain light and speed the fastest time temperature and intensity of illumination, this temperature and intensity of illumination be the optimum condition of plant growth state, said temperature value is as first stage desired temperature;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned first stage desired temperature of temperature indoor temperature.

The described step regulating temperature indoor temperature with Optimum cost for principle, specifically includes:

Initially set up regulation and control cost model, obtain equipment regulation and control cost:

$p=\underset{i=1}{\overset{4}{\Σ}}{k}_i{p}_i+\underset{i=5}{\overset{6}{\Σ}}{k}_i{p}_{i}t$

In formula, p is total regulation and control cost;For first kind switching mode actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state;For Equations of The Second Kind sustained actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state, t Equations of The Second Kind actuator actual run time;

Again based on crop growth model function with regulation and control cost effect model function, set up regulation and control Benefit Model:

$R_{max}={\∫}_{t_0}^t\frac{f(T,L)}{P\left(t\right)}dt$

In formula, R_maxFor Optimal Input output ratio; F (T, L) is photosynthetic function; T represents, L represents, P is cost, and t is, t₀For;

Obtain the desired temperature of second stage:

When photosynthetic function to the derivative value of temperature and regulation and control cost model to temperature value time equal of the derivative value of temperature as desired temperature;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned second desired temperature of temperature indoor temperature.

The step that accumulated temperature compensates, specifically includes:

Obtain total accumulated temperature value that crop growth period needs;

One day required accumulated temperature value of plant growing is calculated according to total accumulated temperature value and expectation Time To Market;

Whom obtains to that temperature value:

The accumulated temperature value needed every day by crop, deducts the accumulated temperature value that the photosynthetic optimum stage accumulated, and this difference is the desired temperature of phase III;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned phase III desired temperature of temperature indoor temperature.

Temperature indoor environment temperature is adjusted, makes temperature indoor temperature step of fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of desired temperature, including following adjustment:

The first situation: when winter ambient temperature lower than the lower limit of limiting temperature, when night maintain greenhouse temperature more than limiting temperature lower limit time, carry out isothermal holding, reduce internal-external heat exchange, when temperature is lower than limiting temperature lower limit, it is heated processing, when heating-up temperature reaches the deviation range lower limit of desired temperature, firing equipment is out of service, along with internal-external heat exchange, indoor temperature can be slowly drop down to the lower limit of limiting temperature, now firing equipment is again turned on, within temperature is maintained at the lower limit of limiting temperature and the deviation range lower limit of desired temperature, firing equipment interval is run,

The second situation: when noon in summer high temperature, intense light irradiation time, temperature value be higher than plant growth ceiling temperature, lower the temperature, within making temperature maintain the higher limit of limiting temperature and the deviation range higher limit of desired temperature;

The third situation: when temperature maintains within the scope of the deviant of setting value, when ambient temperature is lower than setting value, when indoor temperature is lower than the deviation range lower limit of desired temperature, it is heated, when heating the deviation range upper limit to desired temperature, stops heating, due to internal-external heat exchange, temperature indoor temperature is heated when being slowly drop down to the deviation range lower limit of desired temperature again, and room temperature fluctuates in the deviation range of desired temperature, and mean temperature is setting value; When ambient temperature is higher than the deviation range upper limit of desired temperature, it is aerated cooling operation, stop when temperature is down to the deviation range lower limit of desired temperature ventilating, temperature slowly go up the deviation range upper limit to desired temperature time be again aerated cooling operation.

Advantages of the present invention and providing the benefit that: this greenhouse optimising and adjustment method, use crop growth model to draw the relational expression of plant growth speed and envirment factor, utilize the optimum temperature value under the intensity of illumination determined to replace traditional approach substantially setting value empirically. Set up regulation and control cost model and obtain the cost that adjusting device runs. Theoretical according to accumulated temperature, the desired temperature of a day is divided into three phases, replaces two kinds of temperature setting methods traditional day and night. On the daytime that illumination is stronger, with photosynthetic principle of optimality set temperature value; Relatively low after midnight in temperature, with Optimum cost set temperature value; Accumulated temperature compensation is carried out in the before midnight that moderate temperature cost of compensation is relatively low. The method had both met the temperature value needed for crop photosynthesis optimum, had again relatively low accumulated temperature cost of compensation, and benefit is better.

Accompanying drawing explanation

In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, the accompanying drawing used required in embodiment will be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the premise not paying creative work, also can obtain other accompanying drawing according to these accompanying drawings.

Fig. 1 is greenhouse of the present invention optimising and adjustment method flow diagram;

Fig. 2 is greenhouse of the present invention optimising and adjustment method temperature schematic diagram in each stage in a day;

Fig. 3 is the power consumption contrast schematic diagram regulating and controlling method after the present invention adopts greenhouse optimising and adjustment method with tradition.

Detailed description of the invention

Below in conjunction with accompanying drawing 1～3 and detailed description of the invention, the present invention is elaborated, be described below and be only used as demonstration and explain, the present invention is not done any pro forma restriction.

The greenhouse optimising and adjustment method that the present embodiment adopts, its flow process is as shown in Figure 1.

Step S101, the classification according to the plant of plantation, the lower limit of the limiting temperature of the preset plant growing corresponding with this plant and higher limit. Greenhouse structure in the present embodiment is that ridge is high 4.5 meters, eaves height 2.5 meters, wide 6.8 meters, long 20 meters. Selection plant is Fructus Cucumidis sativi. Fructus Cucumidis sativi is transplanted in greenhouse when growing to 2 to 3 true pages in nursery, and transplanting time is in early April, 2014. Fructus Cucumidis sativi optimal temperature is 18 DEG C to 30 DEG C, and limiting temperature is lower limit 10 DEG C, the upper limit 40 DEG C, and whole growth cycle needs effective accumulated temperature 600 degree-day.

Step S102, one day twenty four hours is divided into three sections by the present embodiment: the first stage is: the photosynthetic optimum stage on daytime; Second stage is the Optimum cost stage of the time after midnight; Phase III is the temperature-compensating stage of before midnight, and the temperature in its each stage is as shown in Figure 2. Each time period meets following constraints:

For the first stage: this stage is the intensity of illumination stronger stage, this stage is optimum based on crop photosynthesis. Same plant growth has a ceiling temperature, exceedes this ceiling temperature and crop also can be made to receive damage. When noon in summer exceedes ceiling temperature time temperature is higher with ceiling temperature for setting value. This method to set up makes crop growth conditions best, benefit optimization, and the temperature in photosynthetic optimum stage should meet following relational expression:

T₁=min (t₂,t_upper); t_upperFor ceiling temperature; t₂For photosynthesis optimal setting.

Wherein, the process that light and effect optimal setting are determined is as follows:

Plant growth derives from the accumulation of photosynthesis of plant, and photosynthesis of plant intensity is closely bound up with plant growth environment. The factor pair photosynthetic rate impacts such as plant growth environment temperature, intensity of illumination, gas concentration lwevel are very big, wherein gas concentration lwevel generally changes less and to regulate difficulty and cost bigger, temperature and intensity of illumination change greatly and regulate and be easier to, set up the functional relation of plant photosynthetic rate and temperature and intensity of illumination typically via experiment, can show that temperature, intensity of illumination are to photosynthetic influence degree from light and action function.

Set up the purpose of warmhouse booth to be through manual adjustment greenhouse and make plant growth faster and better, the adjustment of tradition hothouse production medium temperature chamber envirment factor such as temperature etc. relies on knowhow to be adjusted mostly, generally have the upper and lower bound of a temperature, between bound, then upgrowth situation is good, then grow beyond bound and be subjected to impact, but it is specific to how many temperature values is only optimum temperature, the foundation do not determined, the change of intensity of illumination simultaneously, optimal temperature also to follow change. The greenhouse environment factor setting value that clearly traditional that dependence experience is substantially determined is not best greenhouse environment factor setting value, and be still significantly improved space.

The greenhouse environment factor (such as temperature, the light intensity etc.) influence degree to plant growth can be drawn by light and action function, obtain light and speed the fastest time envirment factor value, this value is exactly the envirment factor setting value making plant growth best, thus providing reference for optimum greenhouse environment factor setting value.

In the present embodiment, crop growth model is based on crop physiology and ecology process, and whole model represents with the form of differential:

$\frac{\∂\mathrm{\ω}}{\∂t}={\mathrm{\αF}}_{gr}$

In formula,For crop dynamic growth speed, kg (m^-2·s)^-1; α is dry transformation ratio; F_grFor crop photosynthesis speed, gr is the abbreviation of English grow. F_grCan be expressed as:

F_gr=f (T, L)

In formula, f (T, L) photosynthesis function, is the quadratic function of temperature T and intensity of illumination L, and general type is:

F (T, L)=aT²+bL²+cTL+dT+eL+f

In formula, a, b, c, d, e, f are light and function binomial coefficient.

Corresponding the present embodiment, the functional relation between photosynthetic rate and the indoor temperature intensity of illumination of Fructus Cucumidis sativi is:

F (T, L)=-45.973+3.409T+2.919L-0.06422T²-0.09543L²+0.02451TL

T (DEG C), L (klx) span in formula: $\left\{\begin{array}{c}10\≤T\≤40\\ 2\≤L\≤25\end{array}\right.$

Above-mentioned light and action function are binary quadratic equations, bounding method is asked to seek photosynthesis function f (T by the function of many variables in calculus, L) extreme point (T during maximum, L), the temperature T of this extreme point, intensity of illumination L are exactly the photosynthesis optimal setting t of requirement₂。

For second stage: plant growth has a lower limit temperature, is likely to result in the damage on plant physiology lower than this lower limit temperature, and especially when winter nights, outdoor temperature is relatively low, lower than the lower limit temperature of plant growth time most. The setting value of greenhouse temperature is more low closer to outdoor temperature cost, does not have sunlight the time after midnight, and photosynthesis physical and chemical reaction is more weak, and the sensitivity of temperature also can be reduced. This time, desired temperature was preferably arranged by economic benefit cost, substantially close to outdoor temperature setting value, but had to lower than lower limit temperature. This method to set up can make that less costly better results, and Optimum cost phase temperature should meet following relational expression:

T₂=max (t, t_base)

In formula, t_baseFor lower limit temperature; T is for making Economic Benefit Model R_maxMaximum temperature value.

Wherein, Economic Benefit Model R is made_maxThe acquisition process of maximum temperature value is as follows:

First, regulation and control cost model is used to assess the cost: environmental control of greenhouse equipment divides by execution feature, it is possible to be divided into two categories below: the first kind is switching mode actuator, such as skylight, roller shutter, sunshade net, thermal screen etc.; Equations of The Second Kind is sustained actuator, such as exhaust blower, humidifier, heater etc.

For first kind actuator, its from a kind of state to the execution time of another kind of state be fixing, such as skylight, from being opened to, to close the required time be fixing, and the operating cost for this class actuator can be expressed as:

p_i=C_eW_it_i

In formula, p_iOperating cost for actuator i; C_eThe unit price of the energy is consumed for actuator i; W_iPower for actuator i dynamical system; t_iThe time once is run for actuator i; I is actuator numbering, i=1,2,3,4, represent skylight, roller shutter, sunshade net, thermal screen respectively.

For Equations of The Second Kind sustained actuator, its operating cost is proportional with its operation time.

For exhaust blower and heater:

p_i=C_eW_i

W_iFor blower fan and electrically heated power.

In the actual regulation and control of greenhouse, be often that multiple mechanism simultaneously acts on greenhouse, then its regulation and control totle drilling cost is the linear superposition of each equipment regulation and control cost:

$p=\underset{i=1}{\overset{4}{\Σ}}{k}_i{p}_i+\underset{i=5}{\overset{6}{\Σ}}{k}_i{p}_{i}t$

In formula, p is total regulation and control cost;For first kind switching mode actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state;For Equations of The Second Kind sustained actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state, t Equations of The Second Kind actuator actual run time.

The operation energy consumption of greenhouse adjusting device is the key factor needing to consider, for making the benefit optimization of hothouse production, it is necessary to the cost that quantitative Analysis equipment runs. It is substantially fixed with energy value that switching mode equipment runs cost once, and energy value is substantially substantially constant at present, the relatively good calculating of this kind equipment, substantially can assess the cost in due order. Equations of The Second Kind continuous service equipment is mainly temperature equipment, and its operation time determines along with the difference of ambient temperature and temperature settings. Running status is continuous service a period of time after interval a period of time, and operation duration or operating cost in a period of time are relevant to the temperature difference, desired temperature determine.

Secondly, Economic Benefit Model is used to optimize economic benefit.

When greenhouse is controlled, not only to consider the suitable environment of plant growth, it is also contemplated that the input cost reaching best Jiuquling area. Based on crop growth model function with regulation and control cost effect model function, set up regulation and control Benefit Model as follows:

$R_{max}={\∫}_{t_0}^t\frac{f(T,L)}{P\left(t\right)}dt$

In formula, R_maxFor Optimal Input output ratio; F (T, L) is light and action function; P is cost.

Envirment factor setting value determines the speed of growth of crop, and this point is determined by crop growth model theory, concurrently sets value relevant to regulation and control cost again. Envirment factor setting value not only affects the speed of growth but also affect production cost, the consideration of these two aspects of will compromising when taking setting value, makes benefit more optimize.

Photosynthesis function f (T, L) is the function of temperature, function derivation can obtain the temperature influence degree to intensity of photosynthesis. Regulation and control cost function in P (t) unit interval, with desired temperature and outdoor temperature difference positive correlation, the more big functional value of difference is more high, is the function of temperature. When ambient temperature value and the photosynthetic temperature value of the best are inconsistent, temperature value is high close to the strong regulation and control cost of best photosynthetic temperature value then photosynthesis, and temperature value is low close to the ambient temperature value low intensity of photosynthesis of then regulation and control cost. When photosynthetic function to the derivative value of temperature and cost function to temperature value time equal of the derivative value of temperature it is believed that the good desired temperature t of benefit for balancing intensity of photosynthesis and cost.

For the phase III: dying down in this stage illumination, crop photosynthesis dies down. Accumulated temperature according to crop is theoretical, and crop growth period to have certain accumulated temperature (temperature degree-day), and this value determines that, when the accumulated temperature of every day is less, trophophase is just elongated, and when accumulated temperature is more, trophophase shortens. This phase temperature is higher than temperature after midnight, carries out accumulated temperature compensation in this stage, the regulating crop growth cycle, less costly, it is possible to make benefit more optimize. The temperature in temperature-compensating stage should meet following relational expression:

$\left\{\begin{array}{c}{T}_3=t_i\\ A_3=\underset{i=19}{\overset{24}{\Σ}}max(t_i-t_{base},0)\end{array}\right.$

In formula, A₃The accumulated temperature compensated is needed for this stage.

Needed total accumulated temperature value by crop and estimate that Time To Market can draw the accumulated temperature value needed one day, deducting the photosynthetic optimum accumulated temperature value that accumulated of stage, it is simply that the accumulated temperature value A needed for this stage₃, just can calculate this phase temperature according to above formula and value is set.

Above-mentioned daytime, first half of the night, can be configured voluntarily according to the sunshine-duration of particular geographic location, intensity of illumination after midnight.

The present embodiment adopts method of controlling switch, and greenhouse environment factor parameter is by the setting value (T optimized through forward part optimization method₁,T₂,T₃), the higher limit of downward shift value (1 DEG C or 0.5 DEG C) and limiting temperature and lower limit composition. Greenhouse adjusting device must have enough abilities of regulation and control to make the envirment factors such as temperature maintain near setting value. When winter nights ambient temperature is relatively low, warming-up device and thermal screen have enough abilities to make temperature maintain more than low cutoff value, when same noon in summer, illumination was stronger, aeration-cooling equipment and sunshade net have enough abilities to make temperature maintain below upper limit cutoff.

The present embodiment typical case regulates and controls scene three kinds.The first is: winter, ambient temperature was lower than lower limit temperature, temperature is maintained more than lower limit temperature cutoff at night, during this time thermal screen is opened, reduce internal-external heat exchange, when temperature is lower than limiting temperature lower limit, firing equipment is opened, when heating is to the lower limit of the deviation range of desired temperature, firing equipment stops, along with internal-external heat exchange, indoor temperature can be slowly drop down to the lower limit of limiting temperature, and now firing equipment is again turned on, temperature is maintained on the lower limit temperature of limiting temperature between deviant, and firing equipment interval is run. The second is: during intense light irradiation high temperature at noon in summer, temperature value is higher than the higher limit of plant growth limiting temperature, now ante-venna is opened, and ventilation blower is opened aeration-cooling, within making temperature maintain the upper limit of the higher limit of limiting temperature and the deviation range of desired temperature. The third is: temperature maintains in the deviation range of desired temperature, when ambient temperature is lower than setting value, when temperature is lower than the lower limit of the deviation range of desired temperature, warming-up device is opened, and when heating to setting value adds deviant, warming-up device stops, due to internal-external heat exchange, when room temperature is slowly drop down to the lower limit of the deviation range of desired temperature, warming-up device is again started up, and room temperature changes up and down in the deviation range of desired temperature, and mean temperature is setting value. When ambient temperature is higher than the higher limit of deviation range of desired temperature, ventilation blower is opened aeration-cooling, and when being down to the lower limit of deviation range of desired temperature, ventilation blower cuts out, and temperature is again turned on when slowly ging up to the upper limit of the deviation range of desired temperature.

This control methods are simple, and adjusting device is that simple switch type equipment is cheaply practical, and the adjusting device in booth is mostly this equipment now, all can transform again with.

The greenhouse optimising and adjustment method that the present embodiment mode adopts compares as follows with tradition regulation and control:

Traditional mode and ten weeks power consumption of optimization model are to such as accompanying drawing 3. Traditional mode power consumption 2916 degree, optimization model power consumption 2715 degree, the few power consumption 201 degree of optimization model entirety, save the power consumption of 6.89%. Contrast week, power consumption found: in the first five week, both of which week power consumption essentially identical started that difference occurred from the 6th week, within the 6th the thoughtful ten week, power consumption gap is: 10,26,35,54,72 degree. During comparative observation ambient temperature curve with temperature curve is set, front surrounding ambient temperature curve is below tradition and arranges temperature curve, for pure warm up mode; Within 5th week, having one day freakish weather (May 1) highest temperature to reach 28 DEG C, temperature is higher than setting value, and traditional mode occurs aeration-cooling, and Optimizing Mode desired temperature strengthens with intensity of illumination and becomes big higher than 28 DEG C, cooling does not occur; 6th the thoughtful ten week night temperature section, the traditional mode aeration-cooling time lengthens gradually, and this stage ambient temperature curve occurs that when 19 click at nightfall temperature pattern ambient temperature is higher than night temperature and arranges value to cause that traditional mode occurs aeration-cooling, and optimization model never occurs; Within 8th week, (highest temperature 30 DEG C on May 28) traditional mode starts to continue occur that daytime is aeration-cooling, and optimization model occurs aeration-cooling in May 30 (the highest 35 DEG C), and ventilation time is shorter than traditional mode.

Start to bloom from the 5th weekend and bear fruit to the tenth weekend, gather in the crops successively with same standard, add up 100 strain yield, traditional mode gathers in the crops 429.8 kilograms, and optimization model gathers in the crops 436.2 kilograms, many results 6.4 kilograms, many receipts 1.49% on year-on-year basis, optimization model has slight advantages.By observing contrast, Optimizing Mode is also more satisfactory in saving the energy, has some superiority in volume increase.

Fixed temperature setting value in traditional control method is not best temperature value when photosynthesis of plant, and when photosynthesis, benefit is lower than Optimizing Mode. The degree of fitting of Optimizing Mode temperature value curve and ambient temperature curve is better than traditional mode, and temperature has good followability to external world, and regulation and control cost is less, and this explains the aeration-cooling time of five weeks Optimizing Modes afterwards in test less than traditional mode.

Although the foregoing describing the specific embodiment of the present invention, but the those skilled in the art in this area should be appreciated that these are merely illustrative of, it is possible to these embodiments are made various changes or modifications, without departing from principles of the invention and essence. The scope of the present invention is only limited by the claims that follow.

Claims (5)

1. a greenhouse optimising and adjustment method, it is characterised in that: comprise the steps:

The classification of the plant according to plantation, the lower limit of the limiting temperature of the preset plant growing corresponding with this plant and higher limit;

When meeting the limiting temperature of above-mentioned plant growing, in one day, the adjustment of greenhouse temperature being divided into three phases, the first stage is the daytime that illumination is stronger, reconciles temperature indoor temperature with light and optimum for principle; Second stage is that temperature is relatively low after midnight, regulates temperature indoor temperature with Optimum cost for principle; It is before midnight in the phase III, regulates temperature indoor temperature with accumulated temperature compensation for principle.

2. greenhouse as claimed in claim 1 optimising and adjustment method, it is characterised in that: described reconciles the step of temperature indoor temperature with light and optimum for principle, specifically includes:

Obtain light and the action function of plant;

According to above-mentioned function obtain light and speed the fastest time temperature and intensity of illumination, this temperature and intensity of illumination be the optimum condition of plant growth state, said temperature value is as first stage desired temperature;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned first stage desired temperature of temperature indoor temperature.

3. greenhouse as claimed in claim 1 optimising and adjustment method, it is characterised in that: the described step regulating temperature indoor temperature with Optimum cost for principle, specifically include:

Initially set up regulation and control cost model, obtain equipment regulation and control cost:

$p=\underset{i=1}{\overset{4}{\Σ}}{k}_i{p}_i+\underset{i=5}{\overset{6}{\Σ}}{k}_i{p}_{i}t$

In formula, p is total regulation and control cost;For first kind switching mode actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state, p_iOperating cost for actuator i;For Equations of The Second Kind sustained actuator operating cost, k_iOutgoing mechanism state, 0 expression is not carried out state, and 1 represents execution state, t Equations of The Second Kind actuator actual run time;

Again based on crop growth model function with regulation and control cost effect model function, set up regulation and control Benefit Model:

$R_{max}={\∫}_{t_0}^t\frac{f(T,L)}{P\left(t\right)}dt$

In formula, R_maxFor Optimal Input output ratio; F (T, L) is photosynthetic function; T represents that temperature, L represent intensity of illumination, and P is cost, and t is the time started after midnight, t₀For the end time after midnight;

Obtain the desired temperature of second stage:

When photosynthetic function to the derivative value of temperature and regulation and control cost model to temperature value time equal of the derivative value of temperature as desired temperature;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned second desired temperature of temperature indoor temperature.

4. greenhouse as claimed in claim 1 optimising and adjustment method, it is characterised in that: the step that accumulated temperature compensates, specifically include:

Obtain total accumulated temperature value that crop growth period needs;

One day required accumulated temperature value of plant growing is calculated according to total accumulated temperature value and expectation Time To Market;

Whom obtains to that temperature value:

The accumulated temperature value needed every day by crop, deducts the accumulated temperature value that the photosynthetic optimum stage accumulated, and this difference is the desired temperature of phase III;

Temperature indoor environment temperature is adjusted, makes the fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of above-mentioned phase III desired temperature of temperature indoor temperature.

5. the greenhouse optimising and adjustment method as described in claim 2～4 any claim, it is characterized in that: temperature indoor environment temperature is adjusted, make temperature indoor temperature step of fluctuation more than the lower limit of limiting temperature, below higher limit, within the deviation range of desired temperature, including following adjustment:

The first situation: when winter ambient temperature lower than the lower limit of limiting temperature, when night maintain greenhouse temperature more than limiting temperature lower limit time, carry out isothermal holding, reduce internal-external heat exchange, when temperature is lower than limiting temperature lower limit, it is heated processing, when heating-up temperature reaches the deviation range lower limit of desired temperature, firing equipment is out of service, along with internal-external heat exchange, indoor temperature can be slowly drop down to the lower limit of limiting temperature, now firing equipment is again turned on, within temperature is maintained at the lower limit of limiting temperature and the deviation range lower limit of desired temperature, firing equipment interval is run,

The second situation: when noon in summer high temperature, intense light irradiation time, temperature value be higher than plant growth ceiling temperature, lower the temperature, within making temperature maintain the higher limit of limiting temperature and the deviation range higher limit of desired temperature;

The third situation: when temperature maintains within the scope of the deviant of setting value, when ambient temperature is lower than setting value, when indoor temperature is lower than the deviation range lower limit of desired temperature, it is heated, when heating the deviation range upper limit to desired temperature, stops heating, due to internal-external heat exchange, temperature indoor temperature is heated when being slowly drop down to the deviation range lower limit of desired temperature again, and room temperature fluctuates in the deviation range of desired temperature, and mean temperature is setting value; When ambient temperature is higher than the deviation range upper limit of desired temperature, it is aerated cooling operation, stop when temperature is down to the deviation range lower limit of desired temperature ventilating, temperature slowly go up the deviation range upper limit to desired temperature time be again aerated cooling operation.