JP7377517B2 - 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 greenhouses.

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

Japanese Patent Application Publication No. 2016-195555

However, in the past, it has not been possible to accurately estimate how to control the environment in a greenhouse and what kind of environment it will be, so it is not possible to know in advance whether the environment after control will be the desired environment. could not.

An object of the present invention is to provide a greenhouse environment evaluation program, a greenhouse environment evaluation method, and a greenhouse environment evaluation device that are capable of estimating and evaluating changes in temperature in a greenhouse and outputting the results.

The greenhouse environment evaluation program of the present invention acquires environmental information inside and outside the greenhouse, performance information of the greenhouse and environment adjustment equipment that adjusts the environment inside the greenhouse, and setting information of the environment adjustment equipment, Based on each acquired information, the temperature transition in the greenhouse is estimated, and the temperature in the greenhouse at each predetermined time is determined from the estimated temperature transition in the greenhouse, and a predetermined temperature and score are determined. Calculates a temperature score for each specified predetermined time based on the relationship between the two , and causes a computer to execute a process of outputting the average of the temperature scores for each predetermined time as a score regarding the temperature transition in the greenhouse. It is a program.

The greenhouse environment evaluation program, the greenhouse environment evaluation method, and the greenhouse environment evaluation device of the present invention have the advantage of being able to estimate and evaluate changes in temperature within a greenhouse, and output the results.

1 is a diagram showing the configuration of an agricultural system according to an embodiment. 2 is a diagram showing the hardware configuration of the control device in FIG. 1. FIG. FIG. 2 is a functional block diagram of the control device in FIG. 1. FIG. 3 is a flowchart (part 1) showing processing of the control device. FIG. 2 is a diagram (part 1) showing input information acquired by the 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. It is a graph schematically showing changes in temperature within a greenhouse. FIG. 8(a) is a table showing a method of calculating night room temperature, and FIG. 8(b) is a table showing a method of calculating daytime room temperature. It is a graph showing the relationship between temperature and score. FIG. 3 is a diagram showing an example of a screen showing changes in solar radiation, predicted room temperature, input outside temperature, and greenhouse inside temperature. 12 is a flowchart (Part 2) showing the processing of the control device. 12 is a diagram showing an example of a screen displayed in step S52 of FIG. 11. FIG. 12 is a diagram showing an example of a screen displayed in step S54 of FIG. 11. FIG.

Hereinafter, one embodiment of the agricultural system will be described in detail based on FIGS. 1 to 13. FIG. 1 schematically shows the configuration of an agricultural system 100 according to an embodiment. The agricultural system 100 of this embodiment is a system that adjusts the environment within a greenhouse in a large-scale facility (for example, a greenhouse) for cultivating crops such as tomatoes.

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 installed in a greenhouse 20, and a facility/equipment information providing device 16. It includes environment adjustment equipment (referred to as controlled equipment) 18 that adjusts the environment within the greenhouse 20 and an external server 22. The control device 10, outdoor sensor 12, greenhouse sensor 14, facility/equipment information providing device 16, controlled device 18, and external server 22 are connected via a network such as the Internet, and information is exchanged between each device. Exchange is possible.

The control device 10 is an information processing device that can be used by an operator who grows crops (tomatoes) in the greenhouse 20. The control device 10 receives environmental information acquired by the outdoor sensor 12 and the greenhouse sensor 14, information regarding the performance inside the greenhouse 20 (facility information and equipment information) input from the facility/equipment information providing device 16, and controlled equipment 18. (device setting information) and prediction information of the outdoor environment input from the external server 22. Furthermore, the control device 10 estimates the environment within the greenhouse 20 (in this embodiment, the change in temperature within the greenhouse 20) based on each piece of information. Then, the control device 10 evaluates the estimated environment inside the greenhouse 20, and outputs control information to the controlled device 18 based on the evaluation result so that the evaluation result is improved. Furthermore, the control device 10 evaluates the environment based on the environmental information measurement values (actual measurement values) in the greenhouse 20, and outputs (displays) the evaluation results. Note that details of the configuration and processing of the control device 10 will be described later.

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

The greenhouse sensor 14 includes a temperature sensor that detects the 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 CO ₂ ( The sensor includes a CO ₂ concentration sensor that detects the concentration of carbon dioxide (carbon dioxide), and inputs 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) regarding the capabilities of the equipment (control target equipment) in the greenhouse 20. The information stored by the facility/equipment information providing device 16 includes "facility/equipment information" shown in FIG. 5 and "equipment information" shown in FIG. 6. The facility/equipment information providing device 16 appropriately updates stored information based on actual measurement values, worker input information, etc., and provides information to the control device 10 in response to requests from the control device 10. do. Note that the facility/equipment information providing device 16 may not be installed in the greenhouse 20 but may be installed in another location, or the control device 10 may have the function of the facility/equipment information providing device 16.

The controlled devices 18 include a heat pump, a ventilation window, a heater, a CO ₂ applicator, a light-shielding/heat-retaining curtain, a mist device, and the like. The ventilation window is a window that takes outside air into the greenhouse 20. The heating machine is a device that raises the temperature inside the greenhouse 20, and the CO ₂ application machine is a device that adjusts the CO ₂ concentration inside the greenhouse 20. Further, the light-shielding/heat-retaining curtain is a curtain that adjusts 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. It is assumed that the controlled device 18 is capable of performing operations according to instructions from the control device 10, and the environment within the greenhouse 20 is adjusted by the operation of the controlled device 18.

Here, the configuration and processing of the control device 10 will be explained in detail. FIG. 2 schematically shows 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 section (HDD in this case) 96, a network interface 97, a display section 93, an input section 95, a drive 99 for a portable storage medium, and the like. ing. The display section 93 includes a liquid crystal display, etc., and the input section 95 includes a keyboard, a mouse, a touch panel, etc. Each component of the control device 10 is connected to a bus 98. In the control device 10, programs stored in the ROM 92 or HDD 96 (including the greenhouse environment evaluation program), or programs read from the portable storage medium 91 by the portable storage medium drive 99 (including the greenhouse environment evaluation program) ) by the CPU 90, the functions of each part shown in FIG. 3 are realized. Note that the functions of each part in FIG. 3 may be realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

FIG. 3 shows a functional block diagram of the control device 10. In the control device 10, when the CPU 90 executes the program, as shown in FIG. , a device setting section 36, and an environment evaluation section 38.

The information acquisition section 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 the information to the greenhouse environment prediction section 32 and the environment evaluation section 38.

The greenhouse environment prediction unit 32 predicts the change in temperature within the greenhouse 20 based on the information acquired from the information acquisition unit 30. The greenhouse environment prediction unit 32 passes the prediction result to the prediction environment evaluation unit 34.

The predicted environment evaluation unit 34 evaluates the temperature transition in the greenhouse 20 predicted by the greenhouse environment prediction unit 32, converts it into a score, and passes the score to the device setting unit 36. Further, the predicted environment evaluation section 34 evaluates the degree of influence that the predicted environment within the greenhouse 20 will have on the tomatoes grown within the greenhouse 20, and passes the evaluation result to the device setting section 36. Note that the predicted environment evaluation section 34 displays the evaluation results on the display section 93 in response to a request from the worker.

The device setting section 36 outputs control information to the controlled device 18 so that the evaluation result of the predicted environment evaluation section 34 satisfies a predetermined standard.

The environment evaluation unit 38 evaluates the actual temperature transition based on information about the environment inside the actual greenhouse 20 and converts it into a score. Furthermore, the environmental evaluation unit 38 evaluates the degree of influence that the environment within the actual greenhouse 20 has on the tomatoes. The environmental evaluation section 38 displays the evaluation results on the display section 93 in response to a worker's request.

(Regarding the processing of the control device 10)
Next, the processing of the control device 10 will be described in detail along the flowcharts of FIGS. 4 and 11, with appropriate reference to other drawings.

(About the process in Figure 4)
It is assumed that the process in FIG. 4 is executed, for example, once a day at a predetermined time (for example, midnight). Furthermore, the process shown in FIG. 4 is a process of estimating the temperature transition in the greenhouse 20 on that day, evaluating the estimated temperature transition, and determining control information for the controlled equipment 18 based on the evaluation result. do. However, the process of FIG. 4 is not limited to this, and may be executed in response to a request from an operator, and may be executed to determine control information for the controlled device 18 after a predetermined number of days.

In the process of FIG. 4, first, in step S10, the information acquisition unit 30 acquires geographic information and time information of the greenhouse 20, which is the target for estimating temperature changes, from the facility/equipment information providing device 16. In this case, the information acquisition unit 30 acquires the latitude, longitude, and year, month, and day of the estimation target from among the geographic and temporal information of the greenhouse 20 shown in FIG.

Next, in step S12, the information acquisition unit 30 acquires facility and equipment information from the facility and equipment information providing device 16. In this case, the information acquisition unit 30 acquires the facility/equipment information shown in FIG. (volume specific heat, radiant energy absorption rate, etc.) and equipment information shown in FIG. 6 (heating function, heating machine (heat pump) capacity, cooling machine (fog) capacity, cooling machine (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 prediction data (mesh weather prediction, etc.) and normal year data as the environmental information (outdoor). For example, from the mesh weather forecast, it is possible to obtain the expected temperature, solar radiation, etc. up to 10 days in the future, and from normal year data, it is possible to predict the temperature, solar radiation, etc. after 10 days.

Next, in step S<b>16 , the information acquisition unit 30 acquires from the control target device 18 the device setting information currently set for the control target device 18 . The device setting information includes ventilation set temperature (day), ventilation set temperature (night), heating set temperature (day), heating set temperature (night), and cooling set temperature (night), as shown in Figure 6. included.

Next, in step S18, the greenhouse environment prediction unit 32 calculates a predicted greenhouse environment.

Specifically, regarding the change in temperature inside the greenhouse 20 as schematically shown in FIG. Calculate the average Te.

(1) Calculation of night room temperature Tn The greenhouse environment prediction unit 32 calculates the night room temperature Tn based on the table in FIG. 8(a).

For example, when heating is used in winter, outdoor temperature (Tout)<<indoor target temperature (Tin _ref ). In this case, the greenhouse environment prediction unit 32 uses the heating set temperature Ts_h _night to determine the night room temperature Tn.
Tn=Ts_h _night …(1)
It is calculated as follows.

Further, for example, when using air conditioning in summer, outdoor temperature (Tout) >> indoor target temperature (Tin _ref ). In this case, the greenhouse environment prediction unit 32 uses the air conditioner set temperature Ts_c _night to determine the night room temperature Tn.
Tn=Ts_c _night …(2)

Further, for example, when heating and cooling are not used and outdoor temperature (Tout)<indoor target temperature (Tin _ref ), the greenhouse environment prediction unit 32 calculates the night room temperature Tn using the ventilation setting temperature Ts_v _night ,
Tn=Ts_v _night …(3)
It is calculated as follows.

Further, for example, when heating and cooling are not used and outdoor temperature (Tout)>indoor target temperature (Tin _ref ), the greenhouse environment prediction unit 32 calculates the night room temperature Tn using the outdoor temperature Tout,
Tn=Tout...(4)
It is calculated as follows.

Here, the greenhouse environment prediction unit 32 calculates the sunrise/sunset time based on the latitude, longitude, date and month information, and calculates the night setting maintenance time mn (minutes) in FIG. 7 based on the calculation result. shall be calculated.

(2) Daytime room temperature Td
The greenhouse environment prediction unit 32 calculates the daytime room temperature Td based on the table in FIG. 8(b).

For example, when there is solar radiation So and outdoor temperature (Tout)<ventilation set temperature (Ts_v _day ), the greenhouse environment prediction unit 32 uses the ventilation set temperature (Ts_v _day ) to calculate the daytime room temperature Td.
Td=Ts_v _day …(5)
It is calculated as follows.

In addition, when there is no solar radiation So and outdoor temperature (Tout)<ventilation set temperature (Ts_v _day ), the greenhouse environment prediction unit 32 calculates the daytime room temperature Td as a function of the outdoor temperature as shown in the following equation (6). Calculated by f.
Td=f(Tout)...(6)

Note that f (Tout) is smaller than the ventilation setting temperature (Ts_v _day ).

In addition, regardless of the presence or absence of solar radiation So, if outdoor temperature (Tout)>ventilation setting temperature (Ts_v _day ), the greenhouse environment prediction unit 32 uses the outdoor temperature (Tout) to calculate the daytime room temperature Td,
Td=Tout+Δ...(7)
It is calculated as follows.

Here, Δ is facility/equipment information acquired by the information acquisition unit 30 in step S12, and is, for example, a facility retention heat coefficient. Note that, as Δ, any of the facility/equipment information acquired in step S12, a value converted from two or more values of the facility/equipment information, etc. can be used. In addition, Δ can be calculated empirically from past data (for example, the average indoor-outdoor difference when the ventilation windows are fully open), or calculated from the relational formula between solar radiation and ventilation rate (for example, from the heat balance formula). (estimated value obtained by combining ventilation formulas) can also be used.

Here, the greenhouse environment prediction unit 32 calculates the time excluding the night setting maintenance time mn (minutes) shown in FIG. The daytime setting maintenance time is defined as md.

(3) Calculation of night-to-day transition average Tm The greenhouse environment prediction unit 32 calculates the night-to-day transition average Tm from the following equation (8).
Tm=(Td+Tn)/2...(8)

Here, the greenhouse environment prediction unit 32 calculates the night/day transition (morning) time mm (minutes) in FIG. 7 as a function of solar radiation and outdoor temperature. In this case, when there is a lot of solar radiation, the influence of solar radiation is largely reflected on mm, and when there is little solar radiation, the influence of outdoor temperature is largely reflected on 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 (9).
Te=(Td+Tn)/2...(9)

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).

Note that by using each temperature calculated as described above, the daily average temperature can be calculated from the following equation (10).
Daily average temperature = (Tn・mn+Td・md+Te・me+Tm・mm)/1440…(10)
Returning to FIG. 4, in the next step S20, the predicted environment evaluation unit 34 evaluates the predicted greenhouse environment.

Specifically, the predicted environment evaluation unit 34 evaluates the predicted transition of the temperature inside the greenhouse 20 by scoring it as shown in FIG. The predicted environment evaluation unit 34 refers to the predetermined relationship between the temperature and the score (temperature score) (FIG. 9) when scoring.

The predicted environment evaluation unit 34 divides the temperature T (°C) into cases as shown in i) to iv) below, and calculates the temperature score St at each time.

i) When T<6°C or T>40°C The predicted environment evaluation unit 34 sets the temperature score St=0 (%).

ii) When 6°C≦T<12°C The predicted environment evaluation unit 34 calculates the temperature score St from the following equation (11).
St=16.7×T-100(%)…(11)

iii) When 12°C≦T<28°C The predicted environment evaluation unit 34 sets the temperature score St=100 (%).

iv) When 28°C≦T<40°C The predicted environment evaluation unit 34 calculates the temperature score St from the following equation (12).
St=-8.3×T+333(%)…(12)

Note that the average temperature score for one day is the average of the temperature scores for each predetermined time.

Returning to FIG. 4, in step S22, the device setting unit 36 determines whether the criteria are satisfied. For example, the device setting unit 36 determines whether the daily average temperature score calculated by the predicted environment evaluation unit 34 satisfies a predetermined standard. If the determination at step S22 is negative, the process moves to step S24. When proceeding to step S24, the device setting section 36 adjusts (changes) the device setting information. In this case, the set temperature of the controlled device 18 is adjusted so that the temperature score becomes higher. For example, if the temperature score in the daytime (or night) time zone is low, the set temperature for each time zone may be adjusted so that the daytime (or nighttime) temperature score becomes high. After that, the process returns to step S18, and the processes and determinations in steps S18 to S24 described above are repeated until the determination in step S22 is affirmed.

On the other hand, if the determination in step S22 is affirmative, that is, if the score satisfies a predetermined criterion, the process moves to step S26.

In step S26, the predicted environment evaluation unit 34 evaluates the degree of influence of temperature on growth. In this case, the predicted environment evaluation unit 34 calculates the expected growth amount DMo (g/m ² /d) based on the following equation (13), for example, using the temperature score St calculated in step S20.
DMo=DMp×St…(13)

Note that DMp means potential growth amount (g/m ² /d). Here, DMp means the amount of growth in an ideal environment (when there is no suppression due to temperature and humidity), and is expressed as DMp=light utilization efficiency×light reception amount. The light use efficiency (g/MJ・PAR) in this case is expressed as a function of daytime CO ₂ concentration. Further, the amount of light received (MJ/m ² /d) is expressed as (1-e ^-k・LAI )・PAR. In addition, k means extinction coefficient, LAI means leaf area index, and PAR means photosynthetically active radiation (MJ/m ² /d). Note that the CO ₂ concentration and PAR are values measured by a CO ₂ sensor or a solar radiation sensor, and the LAI is a value estimated from the size and number of leaves.

Next, in step S28, the device setting unit 36 determines whether the criteria are satisfied. Specifically, the device setting unit 36 determines whether DMo is within a predetermined range. If the determination in step S28 is negative, the device setting unit 36 moves to step S24 and changes the set temperature of the controlled device 18 so that DMo falls within a predetermined range. From this point on, the above process is repeatedly executed until the determination in step S28 is affirmed. Note that in step S28, it may be determined whether DMp-DMo (growth loss) is within a predetermined range.

On the other hand, if the determination in step S28 is affirmative, the process moves to step S30, and the device setting section 36 finalizes the device settings. With the above steps, all the processes in FIG. 4 are completed.

Note that after the predicted greenhouse environment is calculated in step S18 in FIG. 4, information on the predicted greenhouse environment may be displayed on the display unit 93 in response to a request from the operator. In this case, for example, a screen as shown in FIG. 10 can be displayed. The screen in FIG. 10 shows changes in the amount of solar radiation, changes in outside temperature (predicted value), and changes in predicted room temperature for each time. In addition, in FIG. 10, the temperature inside the greenhouse (actually measured value) is also displayed, but in the prediction stage, the actual value of the temperature inside the greenhouse is not displayed on the screen.

In addition, in the example of FIG. 4, the case where the temperature score St and the expected growth amount DMo are used to control the controlled device 18 has been described, but the information on the temperature score St and the information on the expected growth amount DMo is not limited to this. It may also be displayed on the display section 93 in response to a worker's request. In this case, the operator may adjust the control information based on the temperature score St and the expected growth amount DMo.

(About the process in Figure 11)
Next, the processing in FIG. 11 will be explained. The process in FIG. 11 is a process for evaluating the past actual environment inside the greenhouse 20. The process in FIG. 11 is a process that is executed when the operator performs a predetermined operation on the screen displayed on the display unit 93 (in response to a request from the operator).

In the process of FIG. 11, first, in step S50, the environment evaluation unit 38 acquires an environment information measurement value. In this case, the environment evaluation unit 38 acquires information (temperature, humidity, CO ₂ concentration) detected by the greenhouse sensor 14 via the information acquisition unit 30 . Specifically, it is assumed that the environmental evaluation unit 38 acquires information detected on the date specified by the operator.

Next, in step S52, the environment evaluation unit 38 evaluates and displays the greenhouse environment. In this case, the environment evaluation unit 38 calculates the temperature score St by performing the same process as step S20 (FIG. 4) described above on the measured value of the temperature.

The environment evaluation unit 38 also evaluates humidity (relative humidity) and scores it. The humidity score calculated in this case is expressed as Sh. For example, if the relative humidity during the daytime (sunrise to sunset) is 70 to 90%, the environment evaluation unit 38 sets Sh=1 (=100%). Furthermore, the environment evaluation unit 38 sets Sh to a smaller value as the value becomes smaller from 70% and as the value becomes larger from 90%.

Furthermore, the environmental evaluation unit 38 evaluates the CO ₂ concentration and scores it. The CO ₂ concentration score calculated in this case is expressed as Sc. The environmental evaluation unit 38 sets Sc=1 (=100%) if the CO ₂ concentration during the daytime (sunrise to sunset) is 400 ppm or more. Furthermore, the environmental evaluation unit 38 sets Sc to a smaller value as the CO ₂ concentration is lower than 400 ppm.

Furthermore, the environmental evaluation unit 38 calculates the growth influence score S based on the following equation (14). Note that a, b, c, and d in the following equation (14) are constants.
S=(a×St+b)×(c×Sh+d)…(14)

Note that the CO ₂ concentration score Sc is reflected in the potential growth amount DMp, which will be described later, so it is not considered in the growth influence score S.

The environment evaluation section 38 displays the above evaluation results on the display section 93. In this case, as an example, it is assumed that a screen as shown in FIG. 12 is displayed on the display unit 93. On the screen in Figure 12, the average value (points) of the growth influence score S is displayed in the column "Evaluation of greenhouse temperature", and the graph of "score change over time" shows the change in the growth influence score S. It is shown. In addition, the graph for "Greenhouse temperature" shows the change in measurement results between the set temperature and the actual temperature inside the greenhouse, and the graph for "Total solar radiation (indoor)" shows the measurement results for global solar radiation. The transition of is shown. Furthermore, the "Relative Humidity" graph shows the changes in humidity measurement results and the value of the humidity score Sh, and the "CO ₂ Concentration" graph shows the CO ₂ concentration setting value and the CO ₂ concentration in the greenhouse. The transition of the measurement results and the value of the CO ₂ concentration score Sc are shown.

Next, in step S54, the environment evaluation unit 38 evaluates and displays the degree of influence on growth. The environmental evaluation unit 38 calculates the expected growth amount DMo (g/m ² /d) from the following equation (15).
DMo=DMp×S…(15)

The environment evaluation section 38 displays the above evaluation results on the display section 93. In this case, as an example, it is assumed that a screen as shown in FIG. 13 is displayed on the display unit 93. The upper part of the screen in Figure 13 shows the latest (August 17th) temperature score St, humidity score Sh, CO ₂ concentration score Sc, growth influence score S, potential growth amount DMp, expected growth amount DMo, and growth loss (DMp). -DMo) is displayed. Furthermore, in the middle of FIG. 13, past information (August 4 to August 17) including the most recent information (August 17) is also displayed. Further, in the lower part of FIG. 13, the changes in the growth influence score S, the potential growth amount DMp, and the expected growth amount DMo are shown in a graph for each number of days after planting.

With the above steps, the process in FIG. 11 ends. By performing the process shown in FIG. 11, the operator can review whether the settings and growth of the controlled device 18 were appropriate. Note that when the process in FIG. 11 is executed, the screen in FIG. 10 (including the change in the measured value of the temperature inside the greenhouse indicated by the broken line) may be displayed. From the screen shown in FIG. 10, the operator can check whether the predicted room temperature and the actual measured temperature inside the greenhouse are similar.

As described above in detail, according to the present embodiment, the information acquisition unit 30 collects environmental information inside and outside the greenhouse 20, performance information of the greenhouse 20 and the controlled equipment 18, and settings of the controlled equipment 18. Information is acquired (S10 to S16). Furthermore, the greenhouse environment prediction unit 32 estimates the change in temperature within the greenhouse 20 based on each piece of acquired information (S18). Then, the predictive environment evaluation unit 34 identifies the temperature inside the greenhouse 20 at each predetermined time based on the estimated temperature change inside the greenhouse 20, and based on predetermined standards (FIG. 9), each of the identified temperatures is evaluated and output to the device setting section 36 (S20). Thereby, the device setting unit 36 can appropriately control the control target device 18 in the greenhouse 20 based on the evaluation result of the temperature transition in the greenhouse 20 that is estimated with high accuracy. Furthermore, by displaying the evaluation results on the display section 93, the operator can confirm whether the temperature within the greenhouse 20 is being appropriately controlled.

Furthermore, in the present embodiment, the predicted environment evaluation unit 34 determines the degree of influence (predicted growth amount) of the temperature in the greenhouse 20 on the growth of tomatoes cultivated in the greenhouse 20 based on the evaluation result of temperature changes in the greenhouse 20. :DMo) and outputs it to the device setting section 36. Thereby, the device setting unit 36 can appropriately control the control target device 18 in the greenhouse 20 in consideration of the influence that temperature changes in the greenhouse 20 have on the growth of tomatoes. Furthermore, by displaying information regarding the growth influence score St on the display unit 93, the operator can confirm whether the temperature within the greenhouse 20 is being appropriately controlled.

Furthermore, in this embodiment, the environmental evaluation unit 38 evaluates the humidity and CO ₂ concentration in the greenhouse 20, and uses the evaluation results to calculate the growth influence score S (S54). Thereby, an appropriate value can be calculated as the growth influence score S based on the temperature, humidity, and CO ₂ concentration.

In the above embodiment, a case has been described in which a change in temperature is predicted in the process of FIG. 4, but in addition to this, changes in humidity or CO ₂ concentration may also be predicted. In this case, as equipment setting information, in addition to the items shown in FIG. 6, mist start humidity, mist stop humidity, dehumidification start humidity, CO ₂ application start concentration, CO ₂ concentration stop concentration, etc. are used. By doing this, the humidity score Sh, CO ₂ concentration score Sc, growth influence score S, and expected growth amount DMo can be calculated at the prediction stage, so the environment inside the greenhouse 20 can be controlled more appropriately. It becomes possible. In addition, when the humidity score Sh and CO ₂ concentration score Sc are calculated at the prediction stage, the equipment setting unit 36 sets the control target equipment 18 (spray device, CO ₂ application machine, etc.) based on Sh and Sc. Control information may also be adjusted.

In addition, although the said embodiment demonstrated the case where steps S26 and S28 were performed in the process of FIG. 4, it is not necessary to necessarily perform steps S26 and S28.

Note that 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. By executing the program on the computer, the above processing functions are realized on the computer. A program describing the processing contents can be recorded on a computer-readable storage medium (excluding carrier waves).

When a program is distributed, it is sold in the form of a portable storage medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in the storage device of the server computer and transfer the program from the server computer to another computer 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. Then, the computer reads the program from its own storage device and executes processing according to the program. Note that a computer can also directly read a program from a portable storage medium and execute processing according to the program. Furthermore, each time a program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

The embodiments described above are examples of preferred implementations of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the gist of the present invention.

10 Control device (greenhouse environment evaluation device)
18 Controlled equipment (environmental adjustment equipment)
30 Information Acquisition Department (Acquisition Department)
32 Greenhouse Environment Prediction Department (Estimation Department)
34 Predictive Environmental Evaluation Department (Evaluation Department)

Claims (8)

Obtaining environmental information inside and outside the greenhouse, performance information of the greenhouse and environment adjustment equipment that adjusts the environment inside the greenhouse, and setting information of the environment adjustment equipment,
Based on each acquired information, estimate the temperature transition in the greenhouse,
The temperature in the greenhouse at each predetermined time is determined from the estimated temperature change in the greenhouse, and the score of the temperature at each specified time is calculated based on the relationship between the predetermined temperature and the score. , outputting the average of the temperature scores for each predetermined time as a score regarding the temperature transition in the greenhouse;
A greenhouse environment evaluation program characterized by having a computer perform processing. In the output process, the temperature inside the greenhouse is specified at each predetermined time based on the estimated change in temperature inside the greenhouse, and a formula for calculating a predetermined temperature score for each temperature range is used to identify the temperature. The greenhouse environment according to claim 1, wherein the temperature score for each predetermined time period is calculated, and the average of the temperature scores for each predetermined time period is output as a score regarding the temperature transition in the greenhouse. Evaluation program. The greenhouse environment evaluation program according to claim 1 or 2, wherein the program causes the computer to execute a process of changing setting information of the environment adjustment equipment based on a score regarding a change in temperature in the greenhouse. . The computer is characterized by causing the computer to execute a process of calculating and outputting the degree of influence of the temperature in the greenhouse on the growth of crops cultivated in the greenhouse based on the score regarding the change in temperature in the greenhouse . The greenhouse environment evaluation program according to any one of claims 1 to 3. Calculating the humidity score and/or carbon dioxide concentration score in the greenhouse,
Calculating and outputting the degree of influence on the growth of crops cultivated in the greenhouse based on the score regarding the temperature change in the greenhouse, the humidity score and/or the carbon dioxide concentration score in the greenhouse; The greenhouse environment evaluation program according to any one of claims 1 to 3, wherein the program causes the computer to execute the processing. The greenhouse environment evaluation program according to claim 4 or 5, wherein the program causes the computer to execute a process of changing setting information of the environment adjustment equipment based on the degree of influence. Obtaining environmental information inside and outside the greenhouse, performance information of the greenhouse and environment adjustment equipment that adjusts the environment inside the greenhouse, and setting information of the environment adjustment equipment,
Based on each acquired information, estimate the temperature transition in the greenhouse,
The temperature in the greenhouse at each predetermined time is determined from the estimated temperature change in the greenhouse, and the score of the temperature at each specified time is calculated based on the relationship between the predetermined temperature and the score. , outputting the average of the temperature scores for each predetermined time as a score regarding the temperature transition in the greenhouse;
A greenhouse environment evaluation method characterized in that processing is performed by a computer. an acquisition unit that acquires environmental information inside and outside the greenhouse, performance information of the greenhouse and environment adjustment equipment that adjusts the environment inside the greenhouse, and setting information of the environment adjustment equipment;
an estimation unit that estimates a change in temperature in the greenhouse based on each piece of acquired information;
The temperature in the greenhouse at each predetermined time is determined from the estimated temperature change in the greenhouse, and the score of the temperature at each specified time is calculated based on the relationship between the predetermined temperature and the score. , an evaluation unit that outputs an average of temperature scores for each predetermined time as a score regarding temperature changes in the greenhouse;
A greenhouse environment evaluation device equipped with:

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