WO2021166558A1 - Environmental condition extraction system, environmental condition extraction method, and program - Google Patents

Abstract

Provided are an environmental condition extraction system, an environmental condition extraction method, and a program that make it possible to cultivate an ornamental plant in accordance with the situation in which the ornamental plant is grown. An environmental condition extraction system (1) that comprises a data set acquisition unit (151), an extraction unit (152), and an outputting unit (154). The data set acquisition unit (151) acquires a plurality of data sets that include: a plurality of measured results for a plurality of environmental conditions within a space (E1); and growth results for an ornamental plant (30) within the context of the plurality of measured results. On the basis of the plurality of data sets, the extraction unit (152) extracts a plurality of pieces of setting information that respectively correspond to the plurality of environmental conditions and are for achieving desired growth results for the ornamental plant (30). The outputting unit (154) outputs the plurality of pieces of setting information.

Description

Environmental condition extraction system, environmental condition extraction method and program

This disclosure generally relates to an environmental condition extraction system, an environmental condition extraction method and a program, and more particularly to an environmental condition extraction system, an environmental condition extraction method and a program for extracting an environmental condition related to cultivation of ornamental plants.

Conventionally, a control system for controlling the environment for growing plants is known (see Patent Document 1).

Patent Document 1 describes a control system that controls the environment of the plant growing space and automatically brings it closer to the optimum growing environment for the plant.

For example, the control system of Patent Document 1 controls the growing environment so as to be within the temperature range of the growing conditions (environmental conditions) of fruits and vegetables. The control system of Patent Document 1 controls the growing environment so as to be within the temperature range of the growing conditions (environmental conditions) of leafy vegetables. Further, in the control system of Patent Document 1, when the temperature range of the growing condition of fruit vegetables and the temperature range of the growing condition of leaf vegetables are different, the temperature difference between the fruit vegetables and the leaf vegetables is caused by a partition or the like in the plant cultivation room. , It is described that fruit vegetables and leaf vegetables are grown at appropriate temperatures, respectively.

The control system of Patent Document 1 controls the plant cultivation room, which is a dedicated space for growing fruit vegetables, leaf vegetables, or both plants, so as to be an optimum growing space.

In the control system of Patent Document 1, in order to make a space dedicated to growing a plant an optimum space for growing a plant, general growth conditions for the plant are applied to the growth conditions (environmental conditions) of the plant to be grown. It becomes possible to do.

By the way, ornamental plants may be cultivated in spaces such as offices where people exist. Ornamental plants are plants for human viewing, and their cultivation modes (growth modes) are various. For example, it is conceivable to increase the rate of increase in plant height in order to observe the growth, or decrease the rate of increase in plant height in order to maintain the shape at the start of cultivation. Since the control system of Patent Document 1 applies general growth conditions for the plant to be grown to the growth conditions (environmental conditions) of the plant to be grown, it cannot be applied to the above cultivation mode.

Japanese Unexamined Patent Publication No. 2013-5772

The present disclosure has been made in view of the above problems, and an object of the present disclosure is to provide an environmental condition extraction system, an environmental condition extraction method and a program capable of cultivating ornamental plants according to the growth mode.

The environmental condition extraction system according to one aspect of the present disclosure includes a data set acquisition unit, an extraction unit, and an output unit. The data set acquisition unit acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in a space and a growth result of an ornamental plant under the plurality of actual measurement results. Based on the plurality of data sets, the extraction unit extracts a plurality of setting information corresponding to the plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant. The output unit outputs the plurality of setting information.

The environmental condition extraction method according to one aspect of the present disclosure includes a data set acquisition step, an extraction step, and an output step. The data set acquisition step acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in space and a growth result of an ornamental plant under the plurality of actual measurement results. The extraction step extracts a plurality of setting information corresponding to the plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant, based on the plurality of data sets. The output step outputs the plurality of setting information.

The program according to one aspect of the present disclosure is a program for causing a computer to execute the above-mentioned environmental condition extraction method.

FIG. 1 is a diagram illustrating a configuration of an environmental condition extraction device as an environmental condition extraction system according to the first embodiment. FIG. 2 is a diagram illustrating a process related to an operation of extracting environmental conditions by the environmental condition extraction device of the same. FIG. 3 is a diagram illustrating a process related to the operation of the above-mentioned environmental condition extraction device for predicting the growth of ornamental plants.

The embodiments and modifications described below are merely examples of the present disclosure, and the present disclosure is not limited to the embodiments and modifications. Other than the following embodiments and modifications, various changes can be made according to the design and the like as long as they do not deviate from the technical idea of the present disclosure.

(Embodiment 1)
Hereinafter, the environmental condition extraction system 1 and the environmental condition extraction method according to the present embodiment will be described with reference to FIGS. 1 to 3.

(1) Outline The environmental condition extraction device 10 as the environmental condition extraction system 1 of the present embodiment extracts the environmental conditions of the space related to the growth of ornamental plants arranged in the space (one room) in the facility. In the present embodiment, the environmental conditions of the space E1 related to the growth of the ornamental plant 30 arranged in the space E1 are extracted.

"Facilities" as used in this disclosure are non-residential facilities such as offices, stores, business establishments, factories, buildings, schools, welfare facilities or hospitals, and residential facilities such as detached houses, apartments, or apartments. including. Non-residential facilities include theaters, movie theaters, public halls, amusement parks, complex facilities, restaurants, department stores, hotels, inns, kindergartens, libraries, museums, art galleries, underground streets, stations and airports. Furthermore, the "facility" referred to in the present disclosure includes outdoor facilities such as a stadium, a garden, a parking lot, a ground and a park.

The environmental conditions are the conditions related to the environment when the ornamental plant 30 is cultivated. For example, environmental conditions include temperature, humidity, illuminance in space E1, frequency of irrigation of ornamental plant 30, soil temperature of soil in which ornamental plant 30 is planted, fertilization, and the like. In this embodiment, the environmental conditions include temperature, humidity, illuminance and frequency of irrigation of the ornamental plant 30 in space E1.

The environmental condition extraction device 10 acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a growth result of the ornamental plant 30 under the plurality of actual measurement results. The environmental condition extraction device 10 is a plurality of information for the user to obtain a desired growth result for the ornamental plant 30 based on the acquired plurality of data sets, and a plurality of setting information corresponding to each of the plurality of environmental conditions. Is extracted. The environmental condition extraction device 10 outputs a plurality of extracted setting information. The growth result of the ornamental plant 30 under the plurality of actual measurement results is the result actually measured under the plurality of actual measurement results. Hereinafter, when distinguishing between the growth result of the ornamental plant 30 under a plurality of actual measurement results and the growth result desired by the user, the growth result of the ornamental plant 30 under a plurality of actual measurement results is used as the actual growth result. Sometimes called the result.

The growth result includes at least one of the plant width, the plant height, the leaf area, the leaf color, the growth rate, the life span, etc. of the ornamental plant 30 as the growth result information. Here, the growth result based on the stock width is the rate of increase in the stock width obtained based on the increase in the stock width after a lapse of a predetermined period from the start of cultivation of the ornamental plant 30. The growth result due to the stock height is the rate of increase in the stock height obtained based on the increase in the stock height after a lapse of a predetermined period from the start of cultivation of the ornamental plant 30. The growth result based on the leaf area is the rate of increase in the leaf area obtained based on the increase in the leaf area after a lapse of a predetermined period from the start of cultivation of the ornamental plant 30. The growth result by leaf color shows the change in leaf color after a lapse of a predetermined period from the start of cultivation of the ornamental plant 30. The growth rate is the rate of photosynthesis, the rate of transpiration, and the like. The life span indicates the period from the start of cultivation of the ornamental plant 30 to its withering. For example, lifespan is the frequency of leaf fall. The leaf fall frequency is the number of leaves fall per unit period obtained based on the number of leaves fall after a predetermined period has elapsed from the start of cultivation of the ornamental plant 30. In the present embodiment, the growth result includes leaf area, that is, the rate of leaf area increase.

The environmental condition extraction device 10 controls the environment of the space E1 based on the extracted plurality of setting information. For example, the environmental condition extraction device 10 controls at least one device 20 that affects the environmental conditions of the space E1 based on the extracted plurality of setting information. When the plurality of setting information includes information related to temperature, the environmental condition extraction device 10 controls the air conditioner 21 as the device 20 to be controlled based on the information related to temperature (setting information) to create a space. Adjust the temperature in E1. When the plurality of setting information includes information related to humidity, the environmental condition extraction device 10 controls the air conditioning device 21 as the device 20 to be controlled based on the information related to humidity (setting information) to create a space. Adjust the humidity in E1. When the plurality of setting information includes information related to illuminance, the environmental condition extraction device 10 controls the lighting device 22 as the device 20 to be controlled based on the information related to illuminance (setting information) to create a space. Adjust the humidity in E1. When the plurality of setting information includes information related to the irrigation frequency, the environmental condition extraction device 10 controls the irrigation device 23 as the device 20 to be controlled based on the information related to the irrigation frequency (setting information). , Adjust the irrigation frequency for the ornamental plant 30.

(2) Configuration As shown in FIG. 1, the environmental condition extraction device 10 of the present embodiment includes a storage unit 11, an input unit 12, a display unit 13, a communication unit 14, and a control unit 15.

The environmental condition extraction device 10 has, for example, a computer system having a processor and a memory. Then, when the processor executes the program stored in the memory, the computer system functions as the control unit 15. The program executed by the processor is recorded in advance in the memory of the computer system here, but may be recorded in a non-temporary recording medium such as a memory card and provided, or provided through a telecommunications line such as the Internet. May be done.

The storage unit 11 is composed of a device selected from ROM (Read Only Memory), RAM (Random Access Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), and the like.

The storage unit 11 uses a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a growth result (seed growth result) of the ornamental plant 30 under the plurality of actual measurement results for ornamental use. Store for each plant 30. For example, the storage unit 11 stores a plurality of data sets for each ornamental plant 30 by using the data set table shown in Table 1. In this embodiment, the dataset table is associated with the name or identifier of the corresponding ornamental plant 30. Further, in the present embodiment, the "leaf area increase rate" is used as the growth result for the ornamental plant 30. The leaf area increase rate is calculated by the formula 1 "leaf area increase rate = (Sn-S0) / n". Here, the value "S0" represents the leaf area at the start of cultivation (0th week) of the ornamental plant 30. The value "Sn" represents the leaf area at the nth week from the start of cultivation of the ornamental plant 30. The leaf area is calculated by, for example, performing image processing on an image obtained by capturing an image of the ornamental plant 30.

The input unit 12 includes a keyboard, a mouse, etc., and accepts operations from the user. For example, the input unit 12 receives the name or identifier of the ornamental plant 30 in the space E1 and the growth result (leaf area increase rate) desired by the user for the ornamental plant 30. Further, when the user wants to know the prediction result of the growth of the ornamental plant 30, the input unit 12 accepts a plurality of prediction setting values as a plurality of environmental conditions. The plurality of prediction set values include an illuminance value, a temperature value, a humidity value, and an irrigation frequency value to be substituted into Equation 2 described later.

The display unit 13 is a thin display device such as a liquid crystal display or an organic EL (electroluminescence) display. The display unit 13 displays a plurality of setting information corresponding to a plurality of environmental conditions for obtaining a desired growth result (leaf area increase rate) received from the user by the input unit 12.

The communication unit 14 includes a communication interface for communicating with a plurality of devices 20 provided in the space E1. That is, the communication unit 14 is configured to be able to communicate with a plurality of devices 20. In the present embodiment, the communication unit 14 is configured to enable wireless communication with a plurality of devices 20. The communication between the communication unit 14 and each device 20 is not limited to wireless communication, and may be wired communication.

As shown in FIG. 1, the control unit 15 includes a data set acquisition unit 151, an extraction unit 152, a prediction unit 153, an output unit 154, and a control processing unit 155.

The data set acquisition unit 151 stores a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a growth result (seed growth result) of the ornamental plant 30 under the plurality of actual measurement results. Obtained from part 11. Specifically, the data set acquisition unit 151 acquires a plurality of data sets of the data set table corresponding to the name or identifier of the ornamental plant 30 received by the input unit 12 from the storage unit 11.

The extraction unit 152 extracts a plurality of setting information according to the desired growth result received by the input unit 12. The extraction unit 152 is a plurality of pieces of information for obtaining a desired growth result for the ornamental plant 30 based on the plurality of data sets acquired by the data set acquisition unit 151, and is a plurality of pieces of information corresponding to a plurality of environmental conditions. Extract the setting information.

As shown in FIG. 1, the extraction unit 152 includes a first calculation unit 156 and a second calculation unit 157.

The first calculation unit 156 calculates a relational expression expressing the relationship between a plurality of environmental conditions and the seedling growth result based on the plurality of data sets. The first calculation unit 156 calculates the mathematical formula 2 “Y = k + k _i X _i + k _t X _t + k _h X _h + k _w X _w ” as a relational expression by using a plurality of data sets and multiple regression analysis. Here, k is a constant term. k _i is the partial regression coefficient with respect to the illuminance. k _t is the partial regression coefficient with respect to temperature. k _h is a partial regression coefficients for the humidity. k _w is the partial regression coefficients for the irrigation frequency. X _i represents illuminance, X _t represents temperature, X _h represents humidity, and X _w represents irrigation frequency. Y represents the growth result (leaf area increase rate).

The second calculation unit 157 uses the relational expression calculated by the first calculation unit 156 to calculate a plurality of setting values in which a plurality of setting information for obtaining a desired growth result are quantified. Here, X _i , X _t , X _h, and X _w are set values, respectively.

The second calculation unit 157 calculates a plurality of set values by using the mathematical formula 2 as the relational expression calculated by the first calculation unit 156 and the desired growth result received by the input unit 12. For example, if the input unit 12 receives the value "10" as the desired growth results (leaf area increased speed), second calculating unit 157, using Equation _{2, "10 ≦ k + k} i X i + k t X t + K _h X _h + k _w X _w ”is satisfied. At _{least one set including the set values X i} , X _t , X _h , and X _w , that is, at least one set including a plurality of set values is calculated.

The prediction unit 153 acquires a plurality of prediction setting values to be set for each of the plurality of environmental conditions, and predicts the growth of the ornamental plant 30 by using the acquired plurality of prediction setting values and the formula 2 as a relational expression. Predict the outcome. Specifically, the prediction unit 153 calculates a result (growth result Y) obtained by substituting a plurality of prediction setting values into the mathematical formula 2 as a prediction result.

The output unit 154 outputs a plurality of setting information (setting values) extracted by the extraction unit 152 to the display unit 13 in order to display the plurality of setting information (setting values) on the display unit 13. The output unit 154 outputs the prediction result predicted (calculated) by the prediction unit 153 to the display unit 13 in order to display it on the display unit 13.

The control processing unit 155 controls the environment of the space E1 based on a plurality of setting information (setting values) extracted by the extraction unit 152.

The control processing unit 155 controls the air conditioning device 21 as the device 20 to be controlled based on the set value of the temperature, and adjusts the temperature in the space E1. For example, the control processing unit 155 sends a control signal for controlling the temperature setting of the air conditioner 21 so that the temperature in the space E1 during the daytime time zone (9:00 to 18:00) becomes the set value of the temperature. It is transmitted to the air conditioner 21 via the communication unit 14.

The control processing unit 155 controls the air-conditioning device 21 as the device 20 to be controlled based on the set value of the humidity, and adjusts the humidity in the space E1. For example, the control processing unit 155 sends a control signal for controlling the humidity setting of the air conditioner 21 so that the temperature in the space E1 during the daytime time zone (9:00 to 18:00) becomes the humidity set value. It is transmitted to the air conditioner 21 via the communication unit 14.

The control processing unit 155 controls the lighting device 22 as the device 20 to be controlled based on the set value of the illuminance, and adjusts the illuminance in the space E1. For example, the control processing unit 155 illuminates a control signal that controls the illuminance of the lighting device 22 so that the illuminance in the space E1 during the daytime time zone (9:00 to 18:00) becomes the set value of the illuminance. It is transmitted to the device 22 via the communication unit 14.

The control processing unit 155 controls the irrigation device 23 as the device 20 to be controlled based on the set value of the irrigation frequency, and adjusts the irrigation frequency for the ornamental plant 30. For example, the control processing unit 155 schedules a time zone for irrigation in one week based on the set value of the irrigation frequency. For example, when the set value of the irrigation frequency is "7", irrigation is scheduled to be performed once a day at a predetermined time zone (for example, 9:00 to 9:00). The control processing unit 155 controls the opening and closing of the solenoid valve of the irrigation device 23 based on the scheduling. For example, at the start time of the predetermined time zone, the control processing unit 155 transmits a control signal for opening the solenoid valve of the irrigation device 23 to the irrigation device 23 via the communication unit 14. At the end time of the predetermined time zone, the control processing unit 155 transmits a control signal for closing the solenoid valve of the irrigation device 23 to the irrigation device 23 via the communication unit 14.

(3) Operation Here, the operation of the environmental condition extraction device 10 will be described.

(3-1) Extraction Operation First, an operation in which the environmental condition extraction device 10 extracts a plurality of setting information based on a desired growth result input by the user will be described with reference to FIG.

The input unit 12 receives the name or identifier of the ornamental plant 30 and the growth result (leaf area increase rate) desired by the user for the ornamental plant 30 (step S1).

When the data set acquisition unit 151 receives the name or identifier of the ornamental plant 30 and the growth result (leaf area increase rate) desired by the user for the ornamental plant 30, the data set acquisition unit 151 stores a plurality of data sets. Acquire from the data set table of unit 11 (step S2).

The first calculation unit 156 of the extraction unit 152 calculates a relational expression representing the relationship between a plurality of environmental conditions and the seedling growth result based on a plurality of data sets (step S3). Specifically, the first calculation unit 156 calculates the above-mentioned mathematical expression 2 as a relational expression by using a plurality of data sets and multiple regression analysis.

The second calculation unit 157 of the extraction unit 152 uses a mathematical formula 2 as a relational expression calculated by the first calculation unit 156 and a desired growth result received by the input unit 12, and a plurality of setting information (setting values). Is calculated (step S4).

The output unit 154 performs output processing (step S5). Specifically, the output unit 154 outputs a plurality of setting information (setting values) extracted by the extraction unit 152 to the display unit 13.

(3-2) Prediction Operation Next, the operation when the environmental condition extraction device 10 predicts the growth result will be described with reference to FIG.

The prediction unit 153 acquires a plurality of prediction setting values received by the input unit 12 from the input unit 12 (step S11).

The prediction unit 153 performs prediction processing using a plurality of prediction set values (step S12). Specifically, the prediction unit 153 calculates a result obtained by substituting a plurality of prediction setting values into the mathematical formula 2 as a prediction result.

The output unit 154 performs output processing (step S13). Specifically, the output unit 154 outputs the prediction result predicted (calculated) by the prediction unit 153 to the display unit 13.

(4) Advantages As described above, the environmental condition extraction system 1 (environmental condition extraction device 10) of the present embodiment includes a data set acquisition unit 151, an extraction unit 152, and an output unit 154. The data set acquisition unit 151 acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a growth result (seed growth result) of the ornamental plant 30 under the plurality of actual measurement results. do. The extraction unit 152 extracts a plurality of setting information corresponding to a plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant 30, based on the plurality of data sets. The output unit 154 outputs a plurality of setting information.

According to this configuration, the environmental condition extraction system 1 extracts a plurality of setting information for obtaining the growth result desired by the user. Therefore, the environmental condition is set so that the ornamental plant 30 has the growth result desired by the user. Can be set. Therefore, the environmental condition extraction system 1 can be cultivated according to the growth mode of the ornamental plant.

(5) Modified Examples The modified examples are listed below. The modifications described below can be applied in combination with the above embodiments as appropriate.

(5-1) Modification 1
In the above embodiment, the first calculation unit 156 is configured to calculate a relational expression expressing the relationship between a plurality of environmental conditions and the growth result (real growth result) by using the multiple regression analysis. Not limited.

The first calculation unit 156 may calculate a relational expression expressing the relationship between a plurality of environmental conditions and the seedling growth result by using another method. For example, the first calculation unit 156 may calculate a relational expression expressing the relationship between a plurality of environmental conditions and the seedling growth result by the response phase method.

In this case, the first calculation unit 156 uses the equation 3 “Y = k + k _i X _i + k _t X _t + k _h X _h + k _w X _w + _kit (X _{i) as a relational expression by using a plurality of data sets and the response phase method. -i2) (X t -t2) +} ··· + k ih (X i -i2) (X h -h2) + ··· + k iw (X i -i2) (X w -w2) + ··· + k _th (X _t- t2) (X _h- h2) + ... + k _tw (X _t- t2) (X _w- w2) + ... + k _hw (X _h- h2) (X _w- w2) + ... "is calculated. Here, k is a constant term. k _i is the partial regression coefficient with respect to the illuminance. k _t is the partial regression coefficient with respect to temperature. k _h is a partial regression coefficients for the humidity. k _w is the partial regression coefficients for the irrigation frequency. _kit is a partial regression coefficient of the interaction between illuminance and temperature. _kih is a partial regression coefficient of the interaction between illuminance and humidity. k _iw is a partial regression coefficient of the interaction between illuminance and irrigation frequency. k _th is a partial regression coefficient of the interaction of temperature and humidity. k _tw is a partial regression coefficient of the interaction between temperature and irrigation frequency. _khw is a partial regression coefficient of the interaction between humidity and irrigation frequency. X _i represents illuminance, X _t represents temperature, X _h represents humidity, and X _w represents irrigation frequency. Y represents the growth result (leaf area increase rate).

The second calculation unit 157 according to the present modification uses the mathematical formula 3 as a relational expression calculated by the first calculation unit 156 according to the present modification, and digitizes a plurality of setting information for obtaining a desired growth result. Calculate a plurality of set values.

(5-2) Modification 2
In the above embodiment, the environmental condition extraction device 10 is configured to display the extracted plurality of setting information (setting values) on the display unit 13, but is not limited to this configuration.

The environmental condition extraction device 10 may transmit a plurality of extracted setting information (setting values) to another terminal, for example, an information terminal owned by the user. In this case, the output unit 154 transmits a plurality of setting information (setting values) to the information terminal via the communication unit 14. Here, the information terminal is a smartphone, a tablet terminal, or the like.

(5-3) Modification 3
In the above embodiment, the environmental condition extraction device 10 is configured to calculate the relational expression each time the user receives the desired growth result from the user, but the present invention is not limited to this.

The environmental condition extraction device 10 may store the relational expression in the storage unit 11 after calculating the relational expression. In this case, when the growth result desired by the user is received from the user after the relational expression is stored, the second calculation unit 157 calculates a plurality of set values using the relational expression stored in the storage unit 11. ..

Further, when the data set is stored in the data set table at any time, the first calculation unit 156 may calculate the relational expression each time the growth result desired by the user is received from the user. Alternatively, the first calculation unit 156 may periodically calculate the relational expression and store it in the storage unit 11 without depending on the reception of the growth result desired by the user from the user.

(5-4) Modification 4
In the above embodiment, the control processing unit 155 is not an essential component of the environmental condition extraction device 10. The control processing unit 155 may be provided in a device or system different from the environmental condition extraction device 10. In this case, the environmental condition extraction system 1 includes the environmental condition extraction device 10 and the other device or system described above. Further, in this case, the environmental condition extraction device 10 does not need to be provided in the space E1 and may be provided in another space.

(5-5) Modification 5
In the above embodiment, the extraction unit 152 has a configuration in which a relational expression is calculated and a plurality of setting information (setting values) are calculated based on the calculated relational expression, but the present invention is not limited to this configuration.

The extraction unit 152 may acquire (extract) a plurality of actual measurement results included in the data set according to the growth result desired by the user as a plurality of setting information (setting values). Specifically, the extraction unit 152 is a fruit that is a growth result (seed growth result) of the ornamental plant 30 under a plurality of actual measurement results among the plurality of data sets and that matches the growth result desired by the user. Get a dataset containing the growth results. The extraction unit 152 acquires (extracts) a plurality of actual measurement results for a plurality of plurality of environmental conditions included in the acquired data set as a plurality of setting information (setting values).

(Embodiment 2)
The present embodiment is different from the first embodiment in that a plurality of relational expressions corresponding to each of a plurality of growth results (real growth results) are calculated using a plurality of data sets. Hereinafter, the points different from those of the first embodiment will be mainly described. Regarding the same functional configuration as in the first embodiment, the description of the functional configuration will be omitted as appropriate.

The storage unit 11 according to the second embodiment is an ornamental plant 30 including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a plurality of growth result information represented by different growth indexes under the plurality of actual measurement results. A plurality of data sets including the growth result (seed growth result) of the plant are stored for each ornamental plant 30. For example, the storage unit 11 stores a plurality of data sets for each ornamental plant 30 by using the table shown in Table 2. In the second embodiment, the table is associated with the name or identifier of the corresponding ornamental plant 30.

Further, in the second embodiment, the "leaf area increase rate" and the "leaf fall frequency" are used as the growth result information of the ornamental plant 30, respectively. The leaf fall frequency is calculated by the formula 4 "leaf fall frequency = (F0-Fn) / n". Here, the value "F0" represents the number of fallen leaves at the start of cultivation (0th week) of the ornamental plant 30. The value "Fn" represents the number of fallen leaves in the nth week from the start of cultivation of the ornamental plant 30.

The input unit 12 according to the second embodiment includes a name or identifier of the ornamental plant 30 in the space E1 and a plurality of growth result information (here, leaf area increase rate and leaf fallen leaves) desired by the user for the ornamental plant 30. Frequency) and accept. Further, when the user wants to know the prediction result of the growth of the ornamental plant 30, the input unit 12 according to the second embodiment accepts a plurality of prediction setting values as a plurality of environmental conditions. The plurality of predictive setting values include the illuminance value, the temperature value, the humidity value, and the irrigation frequency value to be substituted into the above-mentioned formula 2 and the later-described formula 5.

The display unit 13 according to the second embodiment corresponds to a plurality of environmental conditions for obtaining a result based on a plurality of growth result information (leaf area increase rate and leaf fall frequency) desired by the user received by the input unit 12 from the user. Display multiple setting information.

The data set acquisition unit 151 according to the second embodiment stores a plurality of data sets included in the table corresponding to the name or identifier of the ornamental plant 30 received by the input unit 12 according to the second embodiment in the data set table of the storage unit 11. Get from. Specifically, the data set acquisition unit 151 according to the second embodiment acquires a plurality of data sets of the table corresponding to the name or identifier of the ornamental plant 30 received by the input unit 12 from the storage unit 11.

The extraction unit 152 according to the second embodiment provides a plurality of setting information according to a plurality of growth result information (leaf area increase rate and leaf fall frequency) included in the desired growth result received by the input unit 12 according to the second embodiment. Extract.

The first calculation unit 156 of the extraction unit 152 according to the second embodiment calculates a relational expression representing the relationship between the growth result information corresponding to the growth index and a plurality of environmental conditions for each growth index. In other words, the first calculation unit 156 according to the second embodiment calculates a relational expression representing the relationship between the plurality of environmental conditions and the growth result information for each growth result information based on the plurality of data sets.

For example, the first calculation unit 156 according to the second embodiment calculates the above-mentioned mathematical formula 2 as a relational expression corresponding to the leaf area increase rate by using a plurality of data sets and multiple regression analysis. In the second embodiment, the mathematical formula 2 is described as "Y ₁ = k ₁ + k _i1 X _i + k _t X _t + k _h X _h + k _w X _w ". _{The first calculation unit 156 according to the second embodiment uses the equation 5 “Y 2} = k ₂ + _ki 2 X _i + k _t2 X _t + k _h2 X” as a relational expression corresponding to the leaf fall frequency by using a plurality of data sets and multiple regression analysis. _{Calculate h} + k _w2 X _w ".

Here, k ₁ and k ₂ are constant terms. k _i1 and k _i2 are partial regression coefficients with respect to illuminance. _kt1 and _kt2 are partial regression coefficients with respect to temperature. _kh1 and _kh2 are partial regression coefficients for humidity. k _w1 and k _w2 are partial regression coefficients for the irrigation frequency. X _i represents illuminance, X _t represents temperature, X _h represents humidity, and X _w represents irrigation frequency. Y ₁ represents the rate of increase in leaf area as a result of growth. Y ₂ represents the frequency of leaf fall as a result of growth.

The second calculation unit 157 of the extraction unit 152 according to the second embodiment calculates a plurality of set values using a plurality of relational expressions calculated for each growth index. In other words, the second calculation unit 157 according to the second embodiment uses the relational expression calculated by the first calculation unit 156 according to the second embodiment to obtain a plurality of setting information for obtaining a plurality of desired growth result information. Calculate multiple quantified set values.

The second calculation unit 157 according to the second embodiment includes mathematical formulas 2 and 5 as relational expressions calculated by the first calculation unit 156 according to the second embodiment, and a plurality of the desired growth results received by the input unit 12. Multiple set values are calculated using the growth result information (leaf area increase rate and leaf fall frequency).

For example, when the input unit 12 receives the value "10" as the leaf area increase rate and the value "24" as the leaf fall frequency, the second calculation unit 157 according to the second embodiment uses the formula 2 and the formula 5. , "10 ≤ k ₁ + k _i1 X _i + k _t X _t + k _h X _h + k _w X _w " and "24> k ₂ + k _i2 X _i + k _t2 X _t + k _h2 X _h + k _w2 X _w " At least one set including the set values X _i , X _t , X _h , and X _w , that is, at least one set including a plurality of set values is calculated.

More specifically, the second calculation unit 157 according to the second embodiment uses the mathematical formula 2 to satisfy the setting value X satisfying _{“10 ≦ k 1} + k _i1 X _i + k _t X _t + k _h X _h + k _w X _w”. Calculate at least one set including _i1 , X _t1 , X _h1 , and X _{w 1.} Further, the second calculation unit 157 according to the second embodiment uses the mathematical formula 5 to satisfy the set values X _i2 , X _{that satisfy “24> k 2} + k _i2 X _i + k _t2 X _t + k _h2 X _h + k _w2 X _w”. Calculate at least one set including _t2 , X _h2 , and X _{w 2.} The second calculation unit 157 according to the second embodiment has an average value of a plurality of set values for illuminance calculated from a plurality of relational expressions, an average value of a plurality of set values for temperature, and an average of a plurality of set values for humidity. The values are calculated as the average value of the plurality of set values with respect to the irrigation frequency as the set value X _i , the set value X _t , the set value X _h, and the set value X _w , respectively. For example, the second calculation unit 157 according to the second embodiment calculates the average value of the _{set values X i1} and X _{i2 as the set value X i} of the illuminance. The second calculation unit 157 according to the second embodiment calculates _{the average value of the set values X t1} and X _t2 as the temperature set value X _t . The second calculation unit 157 according to the second embodiment calculates _{the average value of the set values X h1} and X _h2 as the temperature set value X _h . The second calculation unit 157 according to the second embodiment calculates _{the average value of the set values X w1} and X _w2 as the temperature set value X _w .

The prediction unit 153 according to the second embodiment acquires a plurality of prediction setting values to be set in each of a plurality of environmental conditions, and uses the acquired plurality of prediction setting values and formulas 2 and 5 as relational expressions. The prediction result of the growth of the ornamental plant 30 is predicted. Specifically, the prediction unit 153 according to the second embodiment substitutes the result (leaf area increase rate) obtained by substituting a plurality of prediction setting values into the formula 2 and the plurality of prediction setting values into the formula 5. Both of the results (deciduous leaf frequency) obtained are calculated as prediction results.

The output unit 154 according to the second embodiment relates to the second embodiment in order to display a plurality of setting information (setting values) extracted by the extraction unit 152 according to the second embodiment on the display unit 13 according to the second embodiment. Output to the display unit 13. The output unit 154 according to the second embodiment displays the prediction result predicted (calculated) by the prediction unit 153 according to the second embodiment on the display unit 13 according to the second embodiment. Output to.

Next, the operation of the environmental condition extraction device 10 according to the second embodiment will be described mainly on the changes from the first embodiment by using the flow chart shown in FIG.

First, in step S1, the input unit 12 according to the second embodiment includes the name or identifier of the ornamental plant 30 in the space E1 and a plurality of growth result information (leaf area increase) desired by the user for the ornamental plant 30. Speed and frequency of leaf fall) and are accepted.

In step S2, the data set acquisition unit 151 according to the second embodiment sets the name or identifier of the ornamental plant 30 and the growth result (leaf area increase rate) desired by the user for the ornamental plant 30 in the second embodiment. When the input unit 12 receives the data, a plurality of data sets are acquired from the data set table of the storage unit 11.

In step S3, the first calculation unit 156 according to the second embodiment calculates a relational expression representing the relationship between the plurality of environmental conditions and the growth result information for each growth result information based on the plurality of data sets. Specifically, the first calculation unit 156 according to the second embodiment uses a plurality of data sets and multiple regression analysis to obtain a relational expression for the leaf area increase rate (formula 2) and a relational expression for the leaf fall frequency (formula 5). Is calculated.

In step S4, the second calculation unit 157 according to the second embodiment uses the mathematical formulas 2 and 5, and the plurality of growth result information included in the desired growth results received by the input unit 12, and a plurality of setting information. Calculate (set value).

In step S5, the output unit 154 according to the second embodiment performs output processing. Specifically, the output unit 154 according to the second embodiment outputs a plurality of setting information (setting values) extracted by the extraction unit 152 according to the second embodiment to the display unit 13 according to the second embodiment.

Next, a modified example of the second embodiment will be described below.

First, the first modification will be described. In the second embodiment, similarly to the first modification of the first embodiment, the first calculation unit 156 according to the first modification determines the relationship between a plurality of environmental conditions and the growth result (real growth result) by the response phase method. Calculate the relational expression to represent.

In this case, the first calculation unit 156 according to the first modification, the plurality of data sets and response surface methodology, Equation 3 described above as a relational expression corresponding to the leaf area increase rate _{"Y = k + k i X} i + k _{t X t + k h X h} + k w X w + k it (X i -i2) (X t -t2) + ··· + k ih (X i -i2) (X h -h2) + ··· + k iw ( X _i- i2) (X _w- w2) + ... + k _th (X _t- t2) (X _h- h2) + ... + k _tw (X _t- t2) (X _w- w2) + ... · + K _hw (X _{h −} h2) (X _{w −} w2) + ... ”is calculated. Below, a formula _{3 "Y 1 = k 1 +} k i1 X i + k t1 X t + k h1 X h + k w1 X w + k it1 (X i -i2) (X t -t2) + ··· + k ih1 (X i -I2) (X _h- h2) + ... + k _iw1 (X _i- i2) (X _w- w2) + ... + k _th1 (X _t- t2) (X _h- h2) + ... + k _{tw1 (X t -t2) (X} w -w2) + ··· + k hw1 (X h -h2) (X w -w2) is described as + ... ".

_{The first calculation unit 156 according to the first modification uses the equation 6 “Y 1} = k ₂ + k _i2 X _i + k _t2 X _t + k” as a relational expression corresponding to the leaf fall frequency by using a plurality of data sets and the response phase method. _h2 X _h + k _w2 X _w + _kit2 (X _i- i2) (X _t- t2) + ... + k _ih2 (X _i- i2) (X _h- h2) + ... + k _iw2 (X _i- i2) ) (X _w- w2) + ... + k _th2 (X _t- t2) (X _h- h2) + ... + k _tw2 (X _t- t2) (X _w- w2) + ... + k _hw2 ( X _h- h2) (X _w- w2) + ... "is calculated.

Here, k ₁ and k ₂ are constant terms. k _i is the partial regression coefficient with respect to the illuminance. k _t is the partial regression coefficient with respect to temperature. k _h is a partial regression coefficients for the humidity. k _w is the partial regression coefficients for the irrigation frequency. k _it1 and _{k it2} are partial regression coefficient of the interaction between the illumination and temperature. _kih1 and _kih2 are partial regression coefficients of the interaction between illuminance and humidity. k _iw1 and k _iw2 are partial regression coefficients of the interaction between illuminance and irrigation frequency. k _th1 and k _th2 are partial regression coefficients of the interaction between temperature and humidity. k _tw1 and _{k tw2} are partial regression coefficient of the interaction between temperature and irrigation frequency. k _{hw 1} and k _{hw 2} are partial regression coefficients of the interaction between humidity and irrigation frequency. X _i represents illuminance, X _t represents temperature, X _h represents humidity, and X _w represents irrigation frequency. Y represents the growth result (leaf area increase rate).

The second calculation unit 157 according to the first modification uses the mathematical formulas 3 and 6 as the relational expressions calculated by the first calculation unit 156 according to the first modification to obtain a desired growth result. Calculates a plurality of setting values in which the setting information of is quantified.

Note that, in the second embodiment, the modified example 2, the modified example 3, and the modified example 4 of the first embodiment may be applied.

(Embodiment 3)
In the present embodiment, extraction of a plurality of setting information according to a plurality of environmental conditions when cultivating a plurality of ornamental plants 30 different from each other is different from the first and second embodiments. Hereinafter, the points different from those of the first and second embodiments will be mainly described. Regarding the same functional configuration as that of the first embodiment or the second embodiment, the description of the functional configuration will be omitted as appropriate.

Similar to the second embodiment, the storage unit 11 according to the third embodiment has a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a plurality of growth results represented by different growth indexes under the plurality of actual measurement results. The growth result (seed growth result) of the ornamental plant 30 including the information and a plurality of data sets including the information are stored in association with the name or identifier of the ornamental plant 30 for each ornamental plant 30. Here, when it is necessary to distinguish a plurality of ornamental plants 30, it is described as a first ornamental plant, a second ornamental plant, ... Nth ornamental plant.

The input unit 12 according to the third embodiment has names or identifiers of a plurality of ornamental plants 30 in the space E1 and one growth result (for example, leaf area increase rate) desired by the user for the plurality of ornamental plants 30. ) And detailed information on the one growth result. Here, the detailed information includes, for example, information that the growth rate of the plurality of ornamental plants 30 is desired to be maximized based on the growth result desired by the user, and a plurality of ornamental plants based on the growth result desired by the user. Information that the growth rate of 30 is desired to be minimized, and information that the growth rate of a plurality of ornamental plants 30 is to be reduced from a desired value based on the growth result desired by the user. including.

Further, when the user wants to know the growth prediction result for a plurality of ornamental plants 30, the input unit 12 according to the third embodiment accepts a plurality of prediction setting values as a plurality of environmental conditions. The plurality of predictive setting values include an illuminance value, a temperature value, a humidity value, and an irrigation frequency value to be substituted into a plurality of relational expressions having a one-to-one correspondence with the plurality of ornamental plants 30.

The display unit 13 according to the third embodiment corresponds to a plurality of environmental conditions for obtaining a result based on a desired growth result (leaf area increase rate) for a plurality of ornamental plants 30 received by the input unit 12 from the user. Display multiple setting information (setting value).

The data set acquisition unit 151 according to the third embodiment acquires a plurality of data sets for each of the ornamental plants 30 for the plurality of ornamental plants 30.

The extraction unit 152 according to the third embodiment extracts a plurality of setting information according to one desired growth result (leaf area increase rate) for the plurality of ornamental plants 30 received by the input unit 12 according to the third embodiment. ..

The first calculation unit 156 of the extraction unit 152 according to the third embodiment calculates a relational expression representing the relationship between the growth result (seed growth result) and a plurality of environmental conditions for each ornamental plant 30. In other words, the first calculation unit 156 according to the third embodiment determines the relationship between the plurality of environmental conditions and the seedling growth result for each ornamental plant 30 based on a plurality of data sets for each ornamental plant 30. Calculate the relational expression to represent.

For example, the extraction unit 152 according to the third embodiment, the first relational expression with respect to ornamental plants _{"Y a = f a (X} i, X t, X h, X w, ···)" and the The relational expression "Y _b = f _b (X _i , X _t , X _h , X _w , ...)" Is applied to the second ornamental plant, ..., The relation to the nth ornamental plant. The formula "Y _n = f _n (X _i , X _t , X _h , X _w , ...)" Is calculated respectively. The first calculation unit 156 according to the third embodiment may use the multiple regression analysis as in the first and second embodiments when calculating the relational expression for each ornamental plant 30. Alternatively, the first calculation unit 156 according to the third embodiment may calculate the relational expression by the response phase method.

The second calculation unit 157 according to the third embodiment calculates a plurality of setting information (setting values) using a plurality of relational expressions calculated for each ornamental plant 30. The second calculation unit 157 according to the third embodiment, if it contains information that you want more information to maximize the growth rate of a plurality of ornamental plants 30, maximizing with respect to _{"Y a + Y b + ···} + Y n" By solving the problem, multiple setting values are calculated. If implemented second calculation section 157 according to Embodiment 3, including the information indicating that want to minimize the growth rate of the ornamental plants 30 detailed information of a plurality, minimization with respect to _{"Y a + Y b + ···} + Y n" By solving the problem, multiple setting values are calculated. When the detailed information includes information that the variation from the _{desired value Y 0 with} respect to the growth rate of the plurality of ornamental plants 30 is desired _{to be reduced, the second calculation unit 157 according to the third embodiment "(Y a-} Y _0". ) ² + (Y _b- Y ₀ ) ² + ... + (Y _n- Y ₀ ) ² "is solved to calculate a plurality of set values.

Prediction unit 153 according to the third embodiment acquires a plurality of prediction set value to be set to a plurality of environmental conditions, obtaining a plurality of prediction set value and the plurality of relational expressions were _{(Y a,} Y _b, · ···, Y _n ) is used to predict the growth prediction result of the ornamental plant 30. Specifically, the prediction unit 153 according to the third embodiment substitutes a plurality of prediction setting values into each relational expression (Y _a , Y _b , ..., Y _n ) and obtains a result (leaf area increase). Each of (speed) is calculated as a prediction result.

The output unit 154 according to the third embodiment relates to the third embodiment in order to display a plurality of setting information (setting values) extracted by the extraction unit 152 according to the third embodiment on the display unit 13 according to the third embodiment. Output to the display unit 13. The output unit 154 according to the third embodiment displays the prediction result predicted (calculated) by the prediction unit 153 according to the third embodiment on the display unit 13 according to the third embodiment. Output to.

Next, the operation of the environmental condition extraction device 10 according to the third embodiment will be described mainly on the changes from the first embodiment by using the flow chart shown in FIG.

First, in step S1, the input unit 12 according to the third embodiment includes the names or identifiers of the plurality of ornamental plants 30 in the space E1 and one growth result desired by the user for the plurality of ornamental plants 30. Leaf area increase rate) and detailed information on the one growth result are accepted.

In step S2, the data set acquisition unit 151 according to the third embodiment acquires a plurality of data sets for each of the ornamental plants 30 for the plurality of ornamental plants 30.

In step S3, the first calculation unit 156 according to the third embodiment has a plurality of environmental conditions and seedling growth of the ornamental plant 30 for each ornamental plant 30 based on a plurality of data sets for each ornamental plant 30. Calculate the relational expression that expresses the relation with the result.

In step S4, the second calculation unit 157 according to the third embodiment has a plurality of relational expressions calculated by the first calculation unit 156 according to the third embodiment and a desired growth result received by the input unit 12 according to the third embodiment. And detailed information is used to calculate a plurality of setting information (setting values).

In step S5, the output unit 154 according to the third embodiment performs output processing. Specifically, the output unit 154 according to the third embodiment outputs a plurality of setting information (setting values) extracted by the extraction unit 152 according to the third embodiment to the display unit 13 according to the second embodiment.

Note that, in the third embodiment, the modified example 2, the modified example 3, and the modified example 4 of the first embodiment may be applied.

(Other variants)
The modified examples are listed below. The modifications described below can be applied in combination with the above embodiments as appropriate.

In the above embodiment, the environmental conditions include, but are not limited to, the temperature, humidity, illuminance, and frequency of irrigation of the ornamental plant 30 in the space E1. Environmental conditions may include at least one of soil temperature and fertilization, in addition to temperature, humidity, illuminance and frequency of irrigation of the ornamental plant 30 in space E1. The environmental conditions need only include at least two conditions. That is, the environmental conditions may include at least two of the temperature, humidity, illuminance, irrigation frequency of the ornamental plant 30, soil temperature and fertilization in the space E1.

The above embodiment is only one of the various embodiments of the present disclosure. The above-described embodiment can be changed in various ways depending on the design and the like as long as the object of the present disclosure can be achieved. Further, the same function as the environmental condition extraction system 1 may be realized by an environmental condition extraction method, a computer program, a non-temporary recording medium on which the program is recorded, or the like. The environmental condition extraction method according to one aspect includes a data set acquisition step, an extraction step, and an output step. The data set acquisition step acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space E1 and a growth result (seed growth result) of the ornamental plant 30 under the plurality of actual measurement results. .. The extraction step extracts a plurality of setting information corresponding to a plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant 30, based on the plurality of data sets. The output step outputs a plurality of setting information. The program according to one aspect is a program for making a computer system function as the above-mentioned environmental condition extraction method.

The environmental condition extraction system 1 in the present disclosure includes a computer system. The main configuration of a computer system is a processor and memory as hardware. When the processor executes the program recorded in the memory of the computer system, the function as the environmental condition extraction system 1 in the present disclosure is realized. The program may be pre-recorded in the memory of the computer system, may be provided through a telecommunications line, and may be recorded on a non-temporary recording medium such as a memory card, optical disk, hard disk drive, etc. that can be read by the computer system. May be provided. A processor in a computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large scale integrated circuit (LSI). The integrated circuit such as IC or LSI referred to here has a different name depending on the degree of integration, and includes an integrated circuit called a system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Further, an FPGA (Field-Programmable Gate Array) programmed after the LSI is manufactured, or a logical device capable of reconfiguring the junction relationship inside the LSI or reconfiguring the circuit partition inside the LSI should also be adopted as a processor. Can be done. A plurality of electronic circuits may be integrated on one chip, or may be distributed on a plurality of chips. The plurality of chips may be integrated in one device, or may be distributed in a plurality of devices. The computer system referred to here includes a microprocessor having one or more processors and one or more memories. Therefore, the microprocessor is also composed of one or a plurality of electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

Further, it is not an essential configuration for the environmental condition extraction system 1 that a plurality of functions in the environmental condition extraction system 1 are integrated in one housing, and the components of the environmental condition extraction system 1 are a plurality of housings. It may be distributed in the above. Further, at least a part of the functions of the environmental condition extraction system 1, for example, a part of the functions of the environmental condition extraction device 10 may be realized by a cloud (cloud computing) or the like.

(summary)
As described above, the environmental condition extraction system (1) of the first aspect includes a data set acquisition unit (151), an extraction unit (152), and an output unit (154). The data set acquisition unit (151) includes a plurality of actual measurement results for a plurality of environmental conditions in the space (E1) and a growth result (seed growth result) of the ornamental plant (30) under the plurality of actual measurement results. Get multiple datasets. The extraction unit (152) extracts a plurality of setting information corresponding to a plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant (30), based on the plurality of data sets. do. The output unit (154) outputs a plurality of setting information.

According to this configuration, the environmental condition extraction system (1) extracts a plurality of setting information for obtaining the growth result desired by the user, so that the ornamental plant (30) has the growth result desired by the user. , Environmental conditions can be set. Therefore, the environmental condition extraction system 1 can be cultivated according to the growth mode of the ornamental plant.

In the environmental condition extraction system (1) of the second aspect, in the first aspect, the extraction unit (152) includes a first calculation unit (156) and a second calculation unit (157). The first calculation unit (156) calculates a relational expression expressing the relationship between a plurality of environmental conditions and a growth result based on a plurality of data sets. The second calculation unit (157) uses a relational expression to calculate a plurality of setting values in which a plurality of setting information for obtaining a desired growth result are each quantified.

According to this configuration, since a plurality of setting values are calculated using a relational expression, the user can easily acquire a plurality of setting values.

In the environmental condition extraction system (1) of the third aspect, in the second aspect, the growth result includes a plurality of growth result information represented by different growth indexes. The first calculation unit (156) calculates a relational expression representing the relationship between the growth result information corresponding to the growth index and a plurality of environmental conditions for each growth index. The second calculation unit (157) calculates a plurality of set values using a plurality of relational expressions calculated for each growth index.

According to this configuration, it is possible to calculate a plurality of set values according to a plurality of growth result information.

In the environmental condition extraction system (1) of the fourth aspect, in the second aspect, the data set acquisition unit (151) has a plurality of data for each of the ornamental plants (30) for a plurality of ornamental plants 30 which are different from each other. Get the set. The first calculation unit (156) determines the growth result of the ornamental plant (309 and the plurality of environmental conditions) based on the plurality of data sets corresponding to the ornamental plant (30) for each ornamental plant (30). The relational expression representing the relationship is calculated. The second calculation unit (157) calculates a plurality of set values using a plurality of relational expressions calculated for each ornamental plant (30).

According to this configuration, it is possible to calculate a plurality of set values according to a plurality of ornamental plants (30) that are different from each other.

The environmental condition extraction system (1) of the fifth aspect further includes a prediction unit (153) in any of the second to fourth aspects. The prediction unit (153) acquires a plurality of prediction setting values to be set for each of the plurality of environmental conditions, and uses the acquired plurality of prediction setting values and the relational expression to obtain the prediction result of the growth of the ornamental plant. Predict. The output unit (154) further outputs the prediction result.

According to this configuration, the growth result of the ornamental plant (30) can be predicted using the relational expression.

The environmental condition extraction system (1) of the sixth aspect further includes a control processing unit (155) in any one of the first to fifth aspects. The control processing unit (155) controls the environment of the space (E1) based on the plurality of setting information.

According to this configuration, the environment of the space (E1) can be controlled in order to obtain the growth result desired by the user.

In the environmental condition extraction system (1) of the seventh aspect, in any one of the first to sixth aspects, the plurality of environmental conditions are at least two of space temperature, humidity, illuminance, irrigation frequency, soil temperature and fertilization. Including one.

According to this configuration, the environment of the space (E1) is formed in order to obtain the growth result desired by the user by controlling at least two of the temperature, humidity, illuminance, irrigation frequency, soil temperature and fertilization of the space. Can be done.

The environmental condition extraction method of the eighth aspect includes a data set acquisition step, an extraction step, and an output step. The data set acquisition step acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in the space (E1) and a growth result of an ornamental plant under the plurality of actual measurement results. The extraction step extracts a plurality of setting information corresponding to a plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for an ornamental plant, based on a plurality of data sets. The output step outputs a plurality of setting information.

According to this environmental condition extraction method, it is possible to cultivate ornamental plants according to the growth mode.

The program of the ninth aspect is a program for causing a computer to execute the environmental condition extraction method of the eighth aspect.

According to this program, it is possible to cultivate ornamental plants according to the growth mode.

1 Environmental condition extraction system 30 Ornamental plants 151 Data set acquisition unit 152 Extraction unit 153 Prediction unit 154 Output unit 155 Control processing unit 156 First calculation unit 157 Second calculation unit E1 Space

Claims (9)

1. A data set acquisition unit that acquires a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in a space and a growth result of an ornamental plant under the plurality of actual measurement results.
   Based on the plurality of data sets, an extraction unit that extracts a plurality of setting information corresponding to the plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant, and an extraction unit.
   An output unit that outputs the plurality of setting information is provided.
   Environmental condition extraction system.
2. The extraction unit
   Based on the plurality of data sets, a first calculation unit that calculates a relational expression expressing the relationship between the plurality of environmental conditions and the growth result, and a first calculation unit.
   A second calculation unit for calculating a plurality of setting values in which the plurality of setting information for obtaining the desired growth result is obtained by using the relational expression is included.
   The environmental condition extraction system according to claim 1.
3. The growth result includes a plurality of growth result information represented by different growth indexes from each other.
   The first calculation unit calculates the relational expression representing the relationship between the growth result information corresponding to the growth index and the plurality of environmental conditions for each growth index.
   The second calculation unit calculates the plurality of set values using the plurality of the relational expressions calculated for each growth index.
   The environmental condition extraction system according to claim 2.
4. The data set acquisition unit acquires the plurality of data sets for each of the ornamental plants for a plurality of ornamental plants that are different from each other.
   The first calculation unit represents the relationship between the growth result of the ornamental plant and the plurality of environmental conditions for each ornamental plant based on the plurality of data sets corresponding to the ornamental plant. Calculate the formula and
   The second calculation unit calculates the plurality of set values using the plurality of the relational expressions calculated for each of the ornamental plants.
   The environmental condition extraction system according to claim 2.
5. Prediction that predicts the growth prediction result of the ornamental plant by acquiring a plurality of prediction setting values set for each of the plurality of environmental conditions and using the acquired plurality of prediction setting values and the relational expression. With more parts,
   The output unit further outputs the prediction result.
   The environmental condition extraction system according to any one of claims 2 to 4.
6. A control processing unit that controls the environment of the space based on the plurality of setting information is further provided.
   The environmental condition extraction system according to any one of claims 1 to 5.
7. The plurality of environmental conditions include at least two of space temperature, humidity, illuminance, irrigation frequency, soil temperature and fertilization.
   The environmental condition extraction system according to any one of claims 1 to 6.
8. A data set acquisition step for acquiring a plurality of data sets including a plurality of actual measurement results for a plurality of environmental conditions in a space and a growth result of an ornamental plant under the plurality of actual measurement results.
   Based on the plurality of data sets, an extraction step of extracting a plurality of setting information corresponding to the plurality of environmental conditions, which is a plurality of information for obtaining a desired growth result for the ornamental plant, and an extraction step.
   Including an output step for outputting the plurality of setting information.
   Environmental condition extraction method.
9. A program for causing a computer to execute the environmental condition extraction method according to claim 8.

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