JP7480452B2 - Greenhouse environment evaluation program, greenhouse environment evaluation method, and greenhouse environment evaluation device - Google Patents

Description

The present invention relates to a greenhouse environment evaluation program, a greenhouse environment evaluation method, and a greenhouse environment evaluation device.

In order to increase the yield of crops such as tomatoes grown in greenhouses and reduce the risk of pests and diseases, it is necessary to control the environment inside the greenhouse.

Conventionally, when controlling the temperature inside a greenhouse, there is known a technology for maintaining an appropriate temperature inside the greenhouse even if the outside air temperature drops below a reference temperature (see, for example, Patent Document 1, etc.)

JP 2016-195555 A

However, in the past, it was not possible to properly evaluate the environment inside the greenhouse.

The present invention aims to provide a greenhouse environment evaluation program, a greenhouse environment evaluation method, and a greenhouse environment evaluation device that can evaluate and output the environment inside a greenhouse.

The greenhouse environment evaluation program of the present invention is a program that causes a computer to execute a process of acquiring information about the environment in the greenhouse at each time point during a past first period, acquiring criteria for evaluating the environmental information generated based on the relationship between the growth evaluation results corresponding to each of the multiple specified values obtained as a result of cultivating a specified variety of crop in each environment in which the environmental information is maintained at each of multiple specified values, and the multiple specified values, and applying the acquired information about the environment in the greenhouse at each time point during the first period to the criteria, thereby evaluating the acquired information about the environment in the greenhouse at each time point during the first period , and outputting the evaluation results.

The greenhouse environment evaluation program, greenhouse environment evaluation method, and greenhouse environment evaluation device of the present invention have the effect of being able to evaluate and output the environment inside a greenhouse.

FIG. 1 is a diagram illustrating a configuration of an agricultural system according to an embodiment. FIG. 2 is a diagram illustrating a hardware configuration of the control device in FIG. 1 . FIG. 2 is a functional block diagram of the control device of FIG. 1 . 4 is a flowchart showing a process of the control device. FIG. 13 is a diagram (part 1) showing input information acquired by an information acquisition unit of the control device. FIG. 2 is a diagram (part 2) showing input information acquired by the information acquisition unit of the control device. 13 is a graph showing the relationship between temperature and score. FIG. 5 is a diagram showing an example of a screen displayed in step S20 of FIG. 4. FIG. 5 is a diagram showing an example of a screen displayed in step S22 of FIG. 4. 1 is a graph showing a schematic diagram of changes in temperature in a greenhouse. FIG. 11(a) is a table showing a method for calculating the nighttime room temperature, and FIG. 11(b) is a table showing a method for calculating the daytime room temperature. FIG. 13 is a diagram showing an example of a screen showing the changes in the amount of solar radiation, predicted room temperature, input outside air temperature, and temperature inside the greenhouse. FIG. 5 is a diagram showing an example of a screen displayed in step S26 of FIG. 4. FIG. 5 is a diagram showing an example of a screen displayed in step S28 of FIG. 4. FIG. 13 is a diagram for explaining a modified example.

One embodiment of an agricultural system will be described in detail below with reference to Figs. 1 to 14. Fig. 1 shows a schematic configuration of an agricultural system 100 according to one embodiment. The agricultural system 100 of this embodiment is a system that adjusts the environment in a greenhouse (e.g., a greenhouse) in a large-scale facility where crops such as tomatoes are cultivated.

As shown in FIG. 1, the agricultural system 100 includes a control device 10 as a greenhouse environment evaluation device, an outdoor sensor 12, a greenhouse sensor 14 and a facility/equipment information providing device 16 installed in a greenhouse 20, an environmental adjustment facility (called controlled equipment) 18 that adjusts the environment in the greenhouse 20, and an external server 22. The control device 10, the outdoor sensor 12, the greenhouse sensor 14, the facility/equipment information providing device 16, the controlled equipment 18, and the external server 22 are connected via a network such as the Internet, allowing information to be exchanged between the devices.

The control device 10 is an information processing device that can be used by an operator cultivating a crop (eg, tomatoes) in the greenhouse 20. The control device 10 acquires environmental information acquired by the outdoor sensor 12 and the greenhouse sensor 14, information on the performance inside the greenhouse 20 (facility information and equipment information) input from the facility/equipment information providing device 16, information set in the controlled equipment 18 (equipment setting information), and predicted information on the outdoor environment input from the external server 22. The control device 10 also evaluates the environment for a predetermined period of the past (first period) based on the environmental information measurement value (actual measurement value) inside the greenhouse 20, and outputs (displays) the evaluation result. Furthermore, the control device 10 estimates the environment inside the greenhouse 20 for a predetermined period of the future (second period) based on the facility information, equipment information, equipment setting information, and predicted information on the outdoor environment. The control device 10 then evaluates the estimated environment inside the greenhouse 20, outputs (displays) the evaluation result, and outputs control information to the controlled equipment 18 so as to improve the evaluation result. The configuration and processing of the control device 10 will be described in detail later.

The outdoor sensor 12 includes a temperature sensor that detects the air temperature outside the greenhouse 20 and a solar radiation sensor that detects solar radiation, and inputs the detection results to the control device 10.

The greenhouse sensors 14 include a temperature sensor that detects the air temperature inside the greenhouse 20, a solar radiation sensor that detects solar radiation inside the greenhouse 20, a humidity sensor that detects the humidity (relative humidity) inside the greenhouse 20, and a _CO2 concentration sensor that detects the _CO2 (carbon dioxide) concentration inside the greenhouse 20, and input the detection results to the control device 10.

The facility/equipment information providing device 16 is a device that stores information (facility information) about the greenhouse 20 (facility) and information (equipment information) about the capabilities of the equipment (control target equipment) in the greenhouse 20. The information stored by the facility/equipment information providing device 16 includes the "facility/equipment information" shown in FIG. 5 and the "equipment information" shown in FIG. 6. The facility/equipment information providing device 16 updates the stored information appropriately based on actual measurements and information input by the worker, and provides information to the control device 10 in response to a request from the control device 10. The facility/equipment information providing device 16 may be installed in a different location rather than in the greenhouse 20, or the control device 10 may have the functions of the facility/equipment information providing device 16.

The controlled devices 18 include a heat pump, a ventilation window, a heater, a _CO2 applicator, a shading/heat-retaining curtain, a mist device, and the like. The ventilation window is a window that takes in outside air into the greenhouse 20. The heater is a device that raises the temperature inside the greenhouse 20, and the _CO2 applicator is a device that adjusts the _CO2 concentration inside the greenhouse 20. The shading/heat-retaining curtain is a curtain that adjusts the solar radiation and temperature inside the greenhouse 20. The mist device is a device that lowers the temperature and increases the humidity inside the greenhouse 20. The controlled devices 18 are capable of executing operations according to instructions from the control device 10, and the environment inside the greenhouse 20 is adjusted by the operation of the controlled devices 18.

Here, the configuration and processing of the control device 10 will be described in detail. FIG. 2 shows a schematic diagram of the hardware configuration of the control device 10. As shown in FIG. 2, the control device 10 includes a CPU 90, a ROM 92, a RAM 94, a storage unit (HDD in this case) 96, a network interface 97, a display unit 93, an input unit 95, and a drive for a portable storage medium 99. The display unit 93 includes a liquid crystal display, and the input unit 95 includes a keyboard, a mouse, a touch panel, and the like. These components of the control device 10 are connected to a bus 98. In the control device 10, the CPU 90 executes a program (including a greenhouse environment evaluation program) stored in the ROM 92 or the HDD 96, or a program (including a greenhouse environment evaluation program) read from the portable storage medium 91 by the drive for a portable storage medium 99, thereby realizing the functions of each unit shown in FIG. 3. The functions of each unit shown in FIG. 3 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

Figure 3 shows a functional block diagram of the control device 10. In the control device 10, the CPU 90 executes a program to realize the functions of an information acquisition unit 30 as an acquisition unit, an environmental evaluation unit 31 as an evaluation unit, a greenhouse environment prediction unit 32, a predicted environment evaluation unit 34, and an equipment setting unit 36, as shown in Figure 3.

The information acquisition unit 30 acquires information from the outdoor sensor 12, the greenhouse sensor 14, the facility/equipment information providing device 16, and the external server 22, and passes it on to the environmental assessment unit 31 and the greenhouse environment prediction unit 32.

The environmental evaluation unit 31 evaluates the transition of the environment (air temperature, humidity, _CO2 concentration, etc.) in the greenhouse 20 during a predetermined period in the past (first period), converts it into a score, and displays the score on the display unit 93. In addition, the environmental evaluation unit 31 evaluates the degree of influence that the environment in the greenhouse 20 during the first period has on the tomatoes cultivated in the greenhouse 20, and displays the evaluation result on the display unit 93.

The greenhouse environment prediction unit 32 predicts the transition of the environment (air temperature, humidity, _CO2 concentration, etc.) in the greenhouse 20 in a predetermined future period (second period) based on the information acquired from the information acquisition unit 30. In this case, the greenhouse environment prediction unit 32 predicts how the environment in the greenhouse 20 will transition when the controlled device 18 is set to the same setting as in the past first period. Furthermore, when an operator inputs a change in the set temperature, the greenhouse environment prediction unit 32 predicts the transition of the environment in the greenhouse 20 when the changed set temperature is set. The greenhouse environment prediction unit 32 passes the prediction result to the predicted environment evaluation unit 34.

The predicted environment evaluation unit 34 evaluates the change in the environment (temperature, etc.) inside the greenhouse 20 predicted by the greenhouse environment prediction unit 32, converts it into a score, and displays the score on the display unit 93. The predicted environment evaluation unit 34 also evaluates the degree of impact that the predicted environment inside the greenhouse 20 has on the tomatoes being cultivated in the greenhouse 20, and displays the evaluation result on the display unit 93.

The device setting unit 36 outputs control information to the controlled device 18 in response to the user's selection of the set temperature.

(Regarding processing of the control device 10)
Next, the processing of the control device 10 will be described in detail with reference to the flowchart of FIG. 4 and other drawings as appropriate.

The process of FIG. 4 is executed, for example, once a day at a predetermined time (for example, midnight or 6:00 a.m.). The process of FIG. 4 is executed to evaluate the environmental transition in the greenhouse 20 during a first period in the past (for example, the previous day), estimate the environmental transition in the greenhouse 20 during a second period in the future (for example, the current day), evaluate the estimated environmental transition, and determine the control information for the controlled device 18 based on the evaluation result. However, this is not limited to the above, and the process of FIG. 4 may be executed at the request of an operator, and may evaluate the environment for a predetermined number of days in the past, estimate the environmental transition in the greenhouse 20 after a predetermined number of days, and evaluate the estimated environmental transition.

In the process of FIG. 4, first, in step S10, the information acquisition unit 30 acquires geographical information and time information of the greenhouse 20, which is the subject of the estimation of temperature changes, from the facility/equipment information providing device 16. In this case, the information acquisition unit 30 acquires the latitude, longitude, and date of the estimation subject from the geographical and time information of the greenhouse 20 shown in FIG. 5.

Next, in step S12, the information acquisition unit 30 acquires facility and equipment information from the facility/equipment information providing device 16. In this case, the information acquisition unit 30 acquires the facility/equipment information shown in FIG. 5 (for example, the heat transfer coefficient due to the difference between the inside and outside air temperatures, the heat transfer coefficient into the soil, the thermal conductivity of the soil, the reference underground temperature, the indoor heat volume specific heat, the radiant energy absorption rate, etc.) and the equipment information shown in FIG. 6 (heating capacity, heating (heat pump) capacity, cooling (fine mist) capacity, cooling (heat pump) capacity, etc.).

Next, in step S14, the information acquisition unit 30 acquires environmental information (outdoors) from the external server 22. Here, the information acquisition unit 30 can acquire forecast data (mesh weather forecast, etc.) and average year data as the environmental information (outdoors). For example, the mesh weather forecast can provide predicted temperature and solar radiation up to 10 days in the future, and the average year data can predict temperature and solar radiation from 10 days in the future onward.

Next, in step S16, the information acquisition unit 30 acquires from the controlled device 18 device setting information currently set for the controlled device 18. The device setting information includes the ventilation setting temperature (day), ventilation setting temperature (night), heating setting temperature (day), heating setting temperature (night), and cooling setting temperature (night), as shown in FIG. 6.

Next, in step S18, the environment evaluation unit 31 acquires the environmental information measurement value (indoors). In this case, the environment evaluation unit 31 acquires the information (air temperature, humidity, _CO2 concentration) detected by the greenhouse sensor 14 via the information acquisition unit 30. Specifically, the environment evaluation unit 31 acquires the information detected in a first period in the past (here, the previous day).

In some cases, the information acquired by the information acquisition unit 30 in steps S10 to S18 is managed in the control device 10 as a CSV file or the like. In this case, for example, when the worker presses the "File upload" button on the screen in FIG. 8 and selects the data to be entered, the information acquisition unit 30 may acquire the selected data.

Next, in step S20, the environmental assessment unit 31 evaluates and displays the greenhouse environment. In this case, the environmental assessment unit 31 calculates the temperature score St for the actual measured temperature value as follows:

The environmental evaluation unit 31 evaluates the temperature change in the greenhouse 20 by converting it into a score (a score). When converting it into a score, the environmental evaluation unit 31 refers to the relationship between the temperature and the score (temperature score) that is determined in advance (FIG. 7). FIG. 7 shows the standard for environmental evaluation based on the relationship between the environment in the greenhouse 20 and the growth of the crop. The relationship in FIG. 7 is assumed to be acquired in advance for each crop variety as follows. For example, in a chamber capable of environmental control, the temperature is set to a reference temperature (e.g., 22°C), and the crop is grown for a predetermined time, and the weight change of the crop at that time is acquired as a reference (temperature score = 100%). Then, the weight change of the crop when the temperature in the chamber is set to another temperature and the crop is grown for a predetermined time is measured, and the ratio (percentage) of the weight change to the reference is plotted on the coordinate system of FIG. 7 as the temperature score at the other temperature. This process is repeated while changing the temperature in the chamber, multiple temperature scores are plotted, and the relationship in FIG. 7 is acquired by linear approximation using the least squares method or the like. Note that the procedure for obtaining the relationship in Figure 7 is not limited to the above procedure.

The environmental evaluation unit 31 classifies the temperature T (°C) into the following cases i) to iv) and calculates the temperature score St for each time.

i) When T<6° C. or T≧40° C., the environment evaluation unit 31 sets the temperature score St=0(%).

ii) When 6° C.≦T<12° C., the environment assessment unit 31 calculates the temperature score St from the following formula (1).
St = 16.7 × T - 100 (%) ... (1)

iii) When 12° C.≦T<28° C., the environment evaluation unit 31 sets the temperature score St=100(%).

iv) When 28° C.≦T<40° C., the environment assessment unit 31 calculates the temperature score St from the following formula (2).
St = -8.3 x T + 333 (%) ... (2)

The average temperature score for a day is calculated by averaging the temperature scores for each specified hour.

The environmental evaluation unit 31 also performs an evaluation of humidity (relative humidity) and converts it into a score. The humidity score calculated in this case is denoted as Sh. For example, if the relative humidity during the daytime (sunrise to sunset) is 70 to 90%, the environmental evaluation unit 31 sets Sh to 1 (=100%). The environmental evaluation unit 31 also sets Sh to a smaller value as the value decreases from 70% and as the value increases from 90%.

Furthermore, the environmental assessment unit 31 performs an evaluation of the _CO2 concentration and converts it into a score. The calculated _CO2 concentration score is denoted as Sc. If the _CO2 concentration during the daytime (sunrise to sunset) is 400 ppm or higher, the environmental assessment unit 31 sets Sc to 1 (=100%). The lower the _CO2 concentration is below 400 ppm, the smaller the value of Sc is set by the environmental assessment unit 31.

Moreover, the environmental assessment unit 31 calculates the growth influence score S based on the following formula (3): a, b, c, and d in the following formula (3) are constants.
S = (a × St + b) × (c × Sh + d) ... (3)

Incidentally, the CO ₂ concentration score Sc is not taken into consideration in the growth influence score S since it is reflected in the potential growth amount DMp described later.

The environmental evaluation unit 31 displays the evaluation results on the display unit 93. In this case, as an example, a screen as shown in FIG. 8 is displayed on the display unit 93. On the screen of FIG. 8, the average value (points) of the growth influence score S is displayed in the "evaluation of greenhouse air temperature" column, and the "score change by time" graph shows the transition of the growth influence score S. In addition, the "greenhouse air temperature" graph shows the transition of the set temperature and the actual greenhouse air temperature measurement results, and the "global solar radiation (indoor)" graph shows the transition of the global solar radiation measurement results. Furthermore, the "relative humidity" graph shows the transition of the humidity measurement results and the humidity score Sh value, and the " _CO2 concentration" graph shows the set value of the _CO2 concentration, the transition of the measurement result of the _CO2 concentration in the greenhouse, and the _CO2 concentration score Sc value. In addition, the "greenhouse air temperature setting" graph shows the set value of the greenhouse air temperature. This "greenhouse air temperature setting" graph can display the set value of the air temperature by selecting any time period.

Next, in step S22, the environment evaluation unit 31 evaluates and displays the degree of influence on the growth. The environment evaluation unit 31 calculates the predicted growth amount DMo (g/m ² /d) from the following formula (4).
DMo = DMp × S ... (4)

DMp means potential growth (g/ ^m2 /d). Here, DMp means growth in an ideal environment (when there is no inhibition due to temperature and humidity) and is expressed as DMp = light utilization efficiency x amount of light received. In this case, light utilization efficiency (g/MJ·PAR) is expressed as a function of daytime _CO2 concentration. Also, the amount of light received (MJ/ ^m2 /d) is expressed as (1-e ^-k·LAI )·PAR. Here, k means light absorption coefficient, LAI means leaf area index, and PAR means photosynthetically active radiation (MJ/ ^m2 /d). Here, _CO2 concentration and PAR are values measured by a _CO2 sensor or solar radiation sensor, and LAI is a value estimated from the size and number of leaves.

The environmental evaluation unit 31 displays the evaluation results on the display unit 93. In this case, as an example, the display unit 93 displays a screen as shown in FIG. 9. The upper part of the screen in FIG. 9 displays the temperature score St, humidity score Sh, _CO2 concentration score Sc, growth influence score S, potential growth amount DMp, predicted growth amount DMo, and growth loss (DMp-DMo) on the previous day (August 17). The middle part of FIG. 9 also displays past information (August 4 to August 17) including the previous day (August 17). Furthermore, the lower part of FIG. 9 shows the transition of the growth influence score S, potential growth amount DMp, and predicted growth amount DMo for each number of days after planting in a graph.

As described above, the environmental evaluation unit 31 executes the processing of steps S18 to S22 in FIG. 4, and the worker can look back on whether the settings of the controlled device 18 on the previous day were appropriate and whether the tomatoes were growing properly by checking the displays in FIGS. 8 and 9.

Next, in step S24, the greenhouse environment prediction unit 32 calculates the predicted greenhouse environment for a second future period (here, the current day) when the settings of the controlled devices 18 are the same as those of the previous day.

Specifically, with respect to the temperature transition in the greenhouse 20 as shown diagrammatically in FIG. 10, (1) nighttime room temperature Tn, (2) daytime room temperature Td, (3) night-day transition average Tm, and (4) day-night transition average Te are calculated.

(1) Calculation of Nighttime Room Temperature Tn The greenhouse environment prediction unit 32 calculates the nighttime room temperature Tn based on the table of FIG.

For example, when heating is used in winter, the outdoor air temperature (Tout) << the indoor target air temperature ( _Tinref ). In this case, the greenhouse environment prediction unit 32 calculates the night room temperature Tn by using the heating set temperature _{Ts_hnight} as follows:
Tn = Ts_h _night ... (5)
It is calculated as follows.

In addition, for example, when cooling is used in summer, the outdoor air temperature (Tout) >> the indoor target air temperature ( _Tinref ). In this case, the greenhouse environment prediction unit 32 calculates the night room temperature Tn by using the cooling set temperature _{Ts_cnight} as follows:
Tn = Ts_c _night ... (6)

In addition, for example, when air conditioning or heating is not used and the outdoor air temperature (Tout) is smaller than the indoor target air temperature ( _Tinref ), the greenhouse environment prediction unit 32 calculates the night room temperature Tn by using the ventilation setting temperature _{Ts_vnight} as follows:
Tn = Ts_v _night ... (7)
It is calculated as follows.

In addition, for example, when the air conditioner is not used and the outdoor air temperature (Tout) is greater than the indoor target air temperature ( _Tinref ), the greenhouse environment prediction unit 32 calculates the night room temperature Tn using the outdoor air temperature Tout as follows:
Tn = Tout ... (8)
It is calculated as follows.

Here, the greenhouse environment prediction unit 32 calculates the sunrise and sunset times based on the latitude, longitude, and date information, and calculates the night setting maintenance time mn (minutes) in Figure 10 based on the calculation results.

(2) Daytime room temperature Td
The greenhouse environment prediction unit 32 calculates the daytime room temperature Td based on the table of FIG.

For example, when there is solar radiation So and the outdoor air temperature (Tout) is smaller than the ventilation setting air temperature (Ts_v _day ), the greenhouse environment prediction unit 32 calculates the daytime room temperature Td using the ventilation setting air temperature (Ts_v _day ) as follows:
Td = Ts_v _day ... (9)
It is calculated as follows.

In addition, when there is no solar radiation So and the outdoor air temperature (Tout) is less than the ventilation setting air temperature (Ts_v _day ), the greenhouse environment prediction unit 32 calculates the daytime room temperature Td using a function f of the outdoor air temperature, as shown in the following equation (10).
Td = f (Tout) ... (10)

It should be noted that f(Tout) is smaller than the ventilation setting temperature ( _{Ts_vday} ).

In addition, regardless of the presence or absence of solar radiation So, when the outdoor air temperature (Tout) is greater than the ventilation setting air temperature (Ts_v _day ), the greenhouse environment prediction unit 32 calculates the daytime room temperature Td using the outdoor air temperature (Tout) as follows:
Td = Tout + Δ ... (11)
It is calculated as follows.

Here, Δ is the facility/equipment information acquired by the information acquisition unit 30 in step S12, for example, the facility heat retention coefficient. Note that Δ can be any of the facility/equipment information acquired in step S12, or a value converted from two or more values of the facility/equipment information. Δ can also be calculated empirically from past data (for example, the average indoor/outdoor difference when the ventilation window is fully open), or calculated from the equation relating solar radiation and ventilation speed (for example, an estimated value obtained by combining the heat balance equation and the ventilation equation).

Here, the greenhouse environment prediction unit 32 determines the day setting maintenance time md to be the time excluding the night setting maintenance time mn (minutes) in FIG. 10 and the night-day transition (morning) time mm (minutes) and day-night transition (evening) time me (minutes) described below.

(3) Calculation of Night-Day Transition Average Tm The greenhouse environment prediction unit 32 calculates the night-day transition average Tm from the following formula (12).
Tm = (Td + Tn) / 2 ... (12)

Here, the greenhouse environment prediction unit 32 calculates the night-to-day transition (morning) time mm (minutes) in FIG. 10 as a function of solar radiation and outdoor air temperature. In this case, when there is a lot of solar radiation, the influence of solar radiation is largely reflected in mm, and when there is little solar radiation, the influence of outdoor air temperature is largely reflected in mm.

(4) Calculation of Day-Night Transition Average Te The greenhouse environment prediction unit 32 calculates the day-night transition average Te from the following equation (13).
Te = (Td + Tn) / 2 ... (13)

Here, the greenhouse environment prediction unit 32 calculates the day-night transition (evening) time me (minutes) in the same way as the night-day transition (morning) time mm (minutes).

By using the temperatures calculated as above, the daily average temperature can be calculated using the following equation (14).
Daily mean temperature = (Tn mn + Td md + Te me + Tm mm) / 1440 ... (14)

After the predicted greenhouse environment is calculated in step S24 in FIG. 4, information on the predicted greenhouse environment may be displayed on the display unit 93 at the request of the operator. In this case, for example, a screen such as that shown in FIG. 12 may be displayed. The screen in FIG. 12 shows the change in solar radiation by time, the change in outside air temperature (predicted value), and the predicted change in room temperature. Note that while FIG. 12 also shows the greenhouse air temperature (actual value), the actual value of the greenhouse air temperature is not displayed on the screen during the prediction stage.

In this embodiment, the greenhouse environment prediction unit 32 predicts not only the temperature transition but also the humidity and _CO2 concentration transition. In this case, the device setting information uses the mist start humidity, mist stop humidity, dehumidification start humidity, _CO2 application start concentration, _CO2 concentration stop concentration, etc. in addition to the items in Fig. 6.

Returning to FIG. 4, in the next step S26, the predicted environment evaluation unit 34 evaluates and displays the predicted greenhouse environment.

Specifically, the predicted environment evaluation unit 34 evaluates the predicted temperature change inside the greenhouse 20 by assigning a score (a score) to the temperature change as shown in FIG. 10. When assigning a score, the predicted environment evaluation unit 34 refers to a predetermined relationship between the temperature and the score (temperature score) (FIG. 7). The method of evaluating the temperature change by the predicted environment evaluation unit 34 is the same as the evaluation method of step S20 described above.

The predicted environment evaluation unit 34 also evaluates the humidity score Sh and the _CO2 concentration score Sc in the same manner as in step S20 described above. Then, the predicted environment evaluation unit 34 calculates the growth influence score S based on the above formula (3) in the same manner as in step S20 described above.

The predicted environment evaluation unit 34 displays the evaluation results on the display unit 93. In this case, as an example, a screen as shown in FIG. 13 is displayed on the display unit 93. The screen in FIG. 13 displays a graph similar to that in FIG. 8, as well as a "device setting button."

Returning to Fig. 4, when the process proceeds to step S28, the prediction environment evaluation unit 34 evaluates the degree of influence of the environment on growth. In this case, the prediction environment evaluation unit 34 calculates the predicted growth amount DMo (g/ ^m2 /d) by the above formula (4), for example, using the growth influence score S calculated in step S26.

The predicted environment evaluation unit 34 displays the evaluation results on the display unit 93. In this case, as an example, a screen as shown in Fig. 14 is displayed on the display unit 93 in addition to the screen of Fig. 13. The screen of Fig. 14 displays the temperature score St, humidity score Sh, _CO2 concentration score Sc, growth influence score S, potential growth amount DMp, predicted growth amount DMo, and growth loss (DMp-DMo) for the predicted environment on that day (August 18).

By referring to Figures 13 and 14, the worker can check whether the environment inside the greenhouse 20 will be appropriate if the settings of the controlled devices 18 on that day are the same as those on the previous day.

Next, in step S30, the greenhouse environment prediction unit 32 judges whether the operator has input a change to the equipment setting information. In this case, if the operator presses the "-" or "+" part of the "equipment setting" button in FIG. 13, the judgment in step S30 is affirmative. On the other hand, if the operator presses the center of the "equipment setting" button in FIG. 13 (the part where the letters "SET" are displayed), the judgment in step S30 is negative. Note that, if the operator judges after checking FIG. 13 and FIG. 14 that the environment inside the greenhouse 20 on that day will not be appropriate, he/she presses the "-" or "+" part to change the set temperature of the controlled equipment 18. Also, if the operator judges that the environment inside the greenhouse 20 on that day will be appropriate, he/she presses the "SET" part.

If the judgment in step S30 is positive, the greenhouse environment prediction unit 32 proceeds to step S32 and adjusts (changes) the equipment setting information. In this case, if the operator presses the "-" part of the "equipment setting" button, the greenhouse environment prediction unit 32 lowers the set temperature of the controlled equipment 18 by, for example, 1°C. Also, if the operator presses the "+" part of the "equipment setting" button, the greenhouse environment prediction unit 32 raises the set temperature of the controlled equipment 18 by, for example, 1°C. Thereafter, the process returns to step S24, and after changing the settings of the controlled equipment 18, the process of calculating the predicted greenhouse environment (S24), evaluating the predicted greenhouse environment (S26), and evaluating the degree of impact on growth (S28) is executed. Then, the processes and judgments in the above-mentioned steps S24 to S32 are repeatedly executed until the judgment in step S30 is negative.

On the other hand, if the determination in step S30 is negative, i.e., if the operator presses the "SET" portion of the "Device Settings" button, the process proceeds to step S34.

Next, when the process proceeds to step S34, the device setting unit 36 confirms the device settings. That is, the settings of the controlled device 18 that were used for the environment prediction at the time the determination in step S30 was negative are confirmed as the settings of the controlled device 18 for that day. The device setting unit 36 then transmits (outputs) the confirmed settings to the controlled device 18. This completes the entire process in FIG. 4.

In this embodiment, the case has been described where the operator increases or decreases the set temperature of the controlled device 18 with reference to the screens in FIG. 13 and FIG. 14, and when it is determined that the predicted greenhouse environment evaluation result and the evaluation result of the impact on growth are appropriate (when the operator presses the "SET" part of the "Device Settings" button), the device setting unit 36 finalizes the device settings (S34). However, this is not limited to this, and steps S24 to S28 may be repeatedly executed while adjusting the device setting information until the predicted greenhouse environment evaluation result and the evaluation result of the impact on growth satisfy a predetermined criterion. This allows the device settings to be automatically finalized. In addition, when determining whether the evaluation result of the impact on growth satisfies a predetermined criterion, it is possible to determine whether DMo is within a predetermined range or whether DMp-DMo (growth loss) is within a predetermined range.

13, a case has been described in which the operator can change the set temperature by operating the "Device Settings" button, but this is not limiting, and for example, the humidity, _CO2 concentration, etc. may be changed. In this case, a "Device Settings" button may be provided for each item to be changed, such as temperature, humidity, _CO2 concentration, etc., or only one "Device Settings" button may be provided, and the item to be changed (temperature, humidity, _CO2 concentration, etc.) may be switched by operating the button.

As can be seen from the above explanation, in this embodiment, the information acquisition unit 30, the greenhouse environment prediction unit 32, and the predicted environment evaluation unit 34 acquire weather forecast data for a second future period, estimate information about the environment in the greenhouse for the second period based on the acquired weather forecast data, evaluate the estimated environment in the greenhouse based on a standard (Figure 7), and output the evaluation result, thereby realizing the function of a processing unit.

As described above in detail, in this embodiment, the environmental evaluation unit 31 acquires environmental information from the previous day inside the greenhouse 20 (S18), evaluates the environmental information from the previous day inside the greenhouse 20 based on predetermined criteria (Fig. 7), and outputs the evaluation results (S20, S22, Figs. 8 and 9). As a result, in this embodiment, the environment inside the greenhouse 20 on the previous day is evaluated and output, allowing the operator to determine whether the past equipment settings were appropriate.

In addition, in this embodiment, the criteria used to evaluate the environment (Figure 7) are based on the relationship between the environment in the greenhouse 20 and the growth of crops. This makes it possible to evaluate the environment in the greenhouse 20 from the perspective of crop growth.

The greenhouse environment prediction unit 32 estimates the environmental information in the greenhouse 20 when the settings of the controlled equipment 18 on the day are the same as those on the previous day based on the weather forecast data and the setting information of the controlled equipment 18 (S24). Furthermore, the predicted environment evaluation unit 34 evaluates the estimated environmental information in the greenhouse 20 on the day based on the standard (FIG. 7) and outputs the evaluation result (S26, S28, FIGS. 13 and 14). As a result, in this embodiment, the transition of the environment in the greenhouse 20 when the controlled equipment 18 is controlled on the day in the same way as on the previous day is estimated, the estimated environment is evaluated, and output, so that the operator can determine whether or not appropriate environmental control can be performed when the controlled equipment 18 is controlled on the day in the same way as on the previous day. In this case, the operator can easily determine whether or not the predicted environment on the day is appropriate by comparing the environmental evaluation result of the previous day with the evaluation result of the predicted environment on the day.

In addition, according to this embodiment, the predicted environment evaluation unit 34 estimates the environment inside the greenhouse 20 when the settings of the controlled equipment 18 on the current day are different from those on the previous day, evaluates the estimated environment inside the greenhouse 20, and outputs the evaluation results. This allows the worker to check whether appropriate environmental control is possible when the control of the controlled equipment 18 on the current day is different from that on the previous day.

In addition, according to this embodiment, the greenhouse environment prediction unit 32 accepts input of changes to the settings of the controlled equipment 18 by the worker, so that the worker can check whether appropriate environmental control can be achieved if the controlled equipment 18 is controlled using the settings that the worker inputs.

In addition, in this embodiment, the predictive environment evaluation unit 34 calculates and outputs the degree of influence of the air temperature inside the greenhouse 20 on the growth of the tomatoes grown in the greenhouse 20 (predicted growth amount: DMo) based on the evaluation results of the air temperature changes inside the greenhouse 20 in the past and future. This allows the operator to determine whether the settings of the controlled devices 18 inside the greenhouse 20 are appropriate, taking into account the influence of the air temperature changes inside the greenhouse 20 on the growth of the tomatoes.

In this embodiment, the environment assessment unit 31 assesses the temperature, humidity, and _CO2 concentration in the greenhouse 20, and calculates the growth influence score S using the assessment results (S54). This makes it possible to calculate an appropriate value for the growth influence score S based on the temperature, humidity, and _CO2 concentration.

In the above embodiment, steps S22 and S28 are executed in the process of FIG. 4, but steps S22 and S28 do not necessarily have to be executed. In addition, the order of steps S20 and S22 and steps S24 to S34 may be reversed.

In the above embodiment, the predicted environment may be calculated and evaluated automatically for the cases where the settings of the controlled device 18 on the day are the same as those on the previous day, where the set temperature is a predetermined temperature higher than the previous day, and where the set temperature is a predetermined temperature lower than the previous day. By comparing these evaluation results, the worker can select appropriate settings for the controlled device 18. Furthermore, the control device 10 (device setting unit 36) can compare these evaluation results and determine the best setting (highest score) as the setting for the controlled device 18 on the day.

In the above embodiment, when step S24 in FIG. 4 is executed for the first time, the settings of the controlled device 18 for that day are set to the same settings as those for the previous day. However, this is not limited to this. In other words, when step S24 in FIG. 4 is executed for the first time, the settings of the controlled device 18 for that day may be set to a predetermined setting (for example, a default value or a value set by an operator).

In the above embodiment, the changes in temperature, _CO2 concentration, and humidity are evaluated as the environmental evaluation, but this is not limited thereto, and at least one of the changes in temperature, _CO2 concentration, and humidity may be evaluated.

(Modification)
In the above embodiment, the case where the transition of the growth influence score S in one day is displayed in the graph of "score change by time" in Fig. 8 has been described, but in addition to this, the transition of the growth influence score S over a longer period of time may be displayed. For example, as shown in Fig. 15, the transition of the growth influence score S in one day (first period) may be displayed in a comparative manner together with the transition of the growth influence score S in the entire cultivation period (second period), thereby providing feedback of data to the cultivation site.

Here, the line graph on the left side of FIG. 15 shows the results of evaluating the growth impact score S every 5 minutes on a certain day (for example, the previous day). The pie chart on the left side of FIG. 15 shows the percentage of air temperatures T every 5 minutes on a certain day (the previous day) that belong to each temperature category (T<6°C, 6°C≦T<12°C, 12°C≦T<28°C, 28°C≦T<40°C, T≧40°C, as explained in FIG. 7). In FIG. 7, the temperature category "12°C≦T<28°C" has an air temperature score St=100(%), so this temperature category can be said to be the optimal temperature category. In the example shown in the graph on the left side of FIG. 15, it can be seen that about 60% of the day was included in the optimal temperature category.

Meanwhile, the line graph on the right side of Figure 15 is a graph showing the change in the average growth impact score S for each day, calculated every 5 minutes for each day during the cultivation period. The pie chart on the right side of Figure 15 shows the percentage of temperatures for each 5 minute period on each day during the cultivation period that fall into each of the above-mentioned temperature categories. In the example shown in the graph on the right side of Figure 15, it can be seen that the temperatures for about 90-95% of the cultivation period fell into the optimal temperature category.

In this way, by displaying data such as that shown in Figure 15, workers at the cultivation site can check whether the environmental control in the greenhouse on the previous day was appropriate, whether the environmental control was appropriate throughout the entire cultivation period, and whether the environmental control on the previous day was appropriate compared to the entire cultivation period. For example, even if there is a day where about 40% is not within the optimal temperature range, as in the pie chart on the left side of Figure 15, if the temperature range is 90-95% within the optimal range, as in the graph on the right side of Figure 15, it can be determined that there is not a large impact on growth.

In the example of FIG. 15, the change in the growth influence score S of the previous day and the change in the growth influence score S for the entire cultivation period are displayed in a comparative manner, but the present invention is not limited to this, and the combination of the periods to be displayed can be changed in various ways. In this case, the operator may be allowed to select the period to be displayed. Furthermore, the number of periods to be displayed may be three or more. Furthermore, the changes in the temperature score St, humidity score Sh, and _CO2 concentration score Sc over multiple periods may be displayed in a comparative manner, without being limited to the changes in the growth influence score S.

The above processing functions can be realized by a computer. In that case, a program is provided that describes the processing contents of the functions that the processing device should have. The above processing functions are realized on the computer by executing the program on the computer. The program describing the processing contents can be recorded on a computer-readable storage medium (excluding carrier waves, however).

When a program is distributed, it is sold, for example, in the form of a portable storage medium on which the program is recorded, such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory). The program can also be stored in the storage device of a server computer, and then transferred from the server computer to other computers via a network.

A computer that executes a program stores, for example, a program recorded on a portable storage medium or a program transferred from a server computer in its own storage device. The computer then reads the program from its own storage device and executes processing in accordance with the program. Note that the computer can also read a program directly from a portable storage medium and execute processing in accordance with that program. The computer can also execute processing in accordance with the received program each time a program is transferred from the server computer.

The above-described embodiment is a preferred example of the present invention. However, the present invention is not limited to this embodiment, and various modifications are possible without departing from the spirit of the present invention.

10 Control device (greenhouse environment evaluation device)
18. Controlled equipment (environmental control equipment)
30 Information acquisition unit (acquisition unit)
31 Environmental Assessment Department (Assessment Department)

Claims (12)

Obtaining information about the environment in the greenhouse at each time point during a first past period;
acquiring criteria for evaluating the information on the environment, the criteria being generated based on a relationship between an evaluation result of growth corresponding to each of a plurality of predetermined values, the evaluation result being obtained as a result of cultivating a crop of a predetermined variety in each environment in which information on the environment is maintained at each of a plurality of predetermined values, and the plurality of predetermined values;
applying the acquired information about the environment in the greenhouse at each time point during the first period to the criteria, thereby evaluating the acquired information about the environment in the greenhouse at each time point during the first period , and outputting an evaluation result;
A greenhouse environment evaluation program that causes a computer to execute processing. Obtaining weather forecast data at each time point in a second future time period;
Based on the acquired weather forecast data, information regarding the environment in the greenhouse at each time point during the second period when the environmental adjustment equipment is set to a predetermined setting during the second period is estimated;
applying the estimated information about the environment in the greenhouse at each time point during the second period to the standard , thereby evaluating the information about the environment in the greenhouse at each time point during the second period , and outputting an evaluation result;
2. The greenhouse environment evaluation program according to claim 1 , further comprising the step of causing a computer to execute a process. In the process of acquiring information about the environment, information about a plurality of types of environment is acquired,
In the process of acquiring the criteria, a plurality of criteria for evaluating each of the plurality of types of environmental information are acquired;
when evaluating information about the environment in the greenhouse at each time point during the first period, evaluating each of the acquired information about the multiple types of environments by applying the respective information about the multiple types of environments to the corresponding criteria, and calculating a value indicating the influence of the environment in the greenhouse on the growth of the crops cultivated in the greenhouse based on the evaluation result and a predetermined formula;
2. The greenhouse environment evaluation program according to claim 1 . In the estimating process, information on a plurality of types of environments is estimated;
In the process of acquiring the criteria, a plurality of criteria for evaluating each of the plurality of types of environmental information are acquired;
when evaluating information about the environment in the greenhouse at each time point during the second period, evaluating each of the multiple types of environmental information by applying each of the estimated multiple types of environmental information to the corresponding criteria, and calculating a value indicating the effect of the environment in the greenhouse on the growth of crops grown in the greenhouse when the environmental adjustment equipment is set to the predetermined setting during the second period based on the evaluation result and a predetermined equation;
3. The greenhouse environment evaluation program according to claim 2 . 5. The greenhouse environment evaluation program according to claim 2 or 4 , wherein the predetermined setting is the same as a setting of the environmental adjustment equipment in the first period. 5. The greenhouse environment evaluation program according to claim 2 or 4 , wherein the predetermined setting is different from a setting of the environmental adjustment equipment in the first period . 7. The greenhouse environment evaluation program according to claim 6 , further comprising a step of causing a computer to execute a process of accepting an input of setting information of the environmental adjustment equipment for the second period. 8. The greenhouse environment evaluation program according to claim 1, wherein the information about the environment is any one of temperature, humidity, and carbon dioxide concentration. repeating a process of calculating a value indicating an effect of the environment in the greenhouse on the growth of crops cultivated in the greenhouse during the second period while changing a setting of the environmental adjustment equipment during the second period;
The greenhouse environment evaluation program according to claim 2 or 4 , further comprising causing the computer to execute a process of determining setting information for the environmental adjustment equipment in the second period based on the repeatedly calculated value . Acquire information regarding the environment in the greenhouse at each time point during a first period in the past, and information regarding the environment in the greenhouse at each time point during a second period in the past;
acquiring criteria for evaluating the information on the environment, the criteria being generated based on a relationship between an evaluation result of growth corresponding to each of a plurality of predetermined values, the evaluation result being obtained as a result of cultivating a crop of a predetermined variety in each environment in which the information on the environment is maintained at each of a plurality of predetermined values, and the plurality of predetermined values;
applying the acquired information regarding the environment in the greenhouse at each time point during the first period to the criterion to evaluate the acquired information regarding the environment in the greenhouse at each time point during the first period, and applying the acquired information regarding the environment in the greenhouse at each time point during the second period to the criterion to evaluate the acquired information regarding the environment in the greenhouse at each time point during the second period, and outputting the evaluation results for the first period and the evaluation results for the second period in a state in which they can be compared.
A greenhouse environment evaluation program that causes a computer to execute processing. Cultivating a crop of a predetermined variety in each environment in which information about the environment is maintained at each of a plurality of predetermined values, and acquiring an evaluation result of growth corresponding to each of the plurality of predetermined values;
generating a criterion for evaluating the information on the environment based on a relationship between the evaluation result of the growth and the plurality of predetermined values;
Obtaining information about the environment in the greenhouse at each time point during a first past period;
applying the acquired information on the environment in the greenhouse at each time point during the first period to the criteria, thereby evaluating the acquired information on the environment in the greenhouse at each time point during the first period , and outputting an evaluation result;
A method for evaluating an environment inside a greenhouse, characterized in that processing is executed by a computer. A first acquisition unit that acquires information about the environment in the greenhouse at each time point during a past first period;
a second acquisition unit that acquires a criterion for evaluating the information about the environment, the criterion being generated based on a relationship between the plurality of predetermined values and an evaluation result of growth corresponding to each of the plurality of predetermined values, the evaluation result being obtained as a result of cultivating a crop of a predetermined variety in each environment in which information about the environment is maintained at each of the plurality of predetermined values;
an evaluation unit that evaluates the acquired information on the environment in the greenhouse at each time point during the first period by applying the acquired information on the environment in the greenhouse at each time point during the first period to the criterion, and outputs an evaluation result;
A greenhouse environment evaluation device comprising:

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