JP6551943B2 - Growth management device, growth management method, and program - Google Patents

Description

  The present invention relates to a growth management apparatus, a growth management method, and a program for managing plant growth in a house.

  Conventionally, the following is known as a growth management apparatus for managing the growth of plants in a house (for example, Patent Document 1). It is a system provided with a farmer database and a farmer server in a farmer information management system which manages agricultural production information, and a center database and a center server in a center information management system which manages agricultural production information in a data center. Then, in this system, agricultural production information acquired by the farmer is stored in the farmer database, accumulated in the center database via the farmer server, and any terminal device accesses the center server to perform agricultural production in the center database. Each database and each server are installed to enable collection, storage, update, and data processing of information.

  Moreover, the following are conventionally known as a plant cultivation system and information provision service for effectively cultivating a plant (for example, Patent Document 2). Information is received from a plurality of plant growing devices each equipped with an environment detecting means, an environment operating means, a breeding control means for controlling them, and a communication means, via the environment detecting means and the breeding control means, and a plant breeding system It is stored in a database or distributed to a user's terminal device. In addition, distribution information is generated based on the accumulated information or the received information, and the environmental operation means is generated through the growth control means of each plant growth device according to the distribution information or by remote control from the terminal device of the user. Be controlled.

  In addition, the following are known as methods for acquiring plant growth information and plant growth control systems that can elucidate the diversity of various plants and that can perform research in a short period of time at low cost. (For example, patent document 3). Plant growth apparatus having a control device for controlling a growth factor required for plant growth and sensors for detecting an environmental state in the closed space for growth, control information of the control device, and information of the environment detected by the sensors And a control unit for integrating the In addition, the enterprise side is provided with a server that exchanges information with the control unit via the Internet. Then, a first step of providing plant growth information from the server on the operator side to the control unit through the Internet, and using the control device and the sensors by the control unit based on the given plant growth information The second step of growing the breeding plants by controlling the environment in the breeding closed space, the environmental information in the breeding closed space and the growing state of the breeding plants as the result information from the control unit Control is performed including a third step of transmitting the information to the server on the business entity side via the Internet and a fourth step of performing classification analysis on the business operator side from the result information. Further, after the classification analysis, a fifth step of transmitting the information obtained by the classification analysis to the control unit on the customer side via the Internet as update information of the plant growth information is provided, and the first step The fifth step is cyclically repeated. Further, the first step includes a process in which the customer customizes the plant growth information to be used. In addition, in the plant growth information, the plant growth process is indicated by arranging the environmental conditions in the growing closed space and the control conditions of the control device in a time series of growth.

  In the above-described various conventional techniques, the state of the breeding environment of agricultural products and plants is detected by a sensor, sensor output information is received by a data center or the like through a communication network, and the information is stored in a database or a user terminal device The mechanism to deliver to etc. is realized. Also, a mechanism for controlling the cultivation environment of crops and plants via a control device based on sensor output information or the like, based on an instruction from a terminal device by a user, or based on an analysis result on the business side Is realized.

JP 2005-38019 A JP 2004-298069 A JP 2002-101756 A Japanese Patent Laid-Open No. 2015-072506

  However, in the above-described conventional technology, the control environment of the crop or plant cultivation environment is determined based on sensor output information or the like, based on an instruction from a terminal device by a user, or based on an analysis result on the operator side. Through control, but could not predict the state of the house.

  For example, the house which is an agricultural field has different sizes and shapes, and the performance such as the maximum output of a control device such as a heater, a carbon dioxide generator, and a skylight (skylight opening / closing device) and the arrangement position in the house are different. For this reason, the state of the house when the control device is operated differs depending on the house, and the control device cannot be operated accurately to bring the house close to a desired state.

  An object of the present invention is to provide a growth management apparatus, a growth management method, and a program capable of predicting the state of a house when a control device is operated.

  In the first aspect, the growth management device is installed in a performance information acquisition unit that acquires performance information indicating performance that can be exhibited in the house, and a control device installed in a house where crops are grown. A sensor information acquisition unit that acquires sensor information detected by a sensor, and a prediction unit that predicts the state of the house when the control device is operated based on at least the performance information and the sensor information.

  In the second aspect, in the growth management method, a control device installed in a house for cultivating crops acquires performance information indicating performance that can be exhibited in the house, and a sensor installed in the house detects Sensor information is acquired, and the state of the house when the control device is operated is predicted based on at least the performance information and the sensor information.

  In the third aspect, the program detects a function for obtaining performance information representing performance that can be exhibited in the house by a control device installed in the house for growing crops and a sensor installed in the house A computer realizes a function of acquiring sensor information and a function of predicting a state of the house when the control device is operated based on at least the performance information and the sensor information.

  According to the aspect, it is possible to predict the state of the house when the control device is operated.

1 is an overall configuration diagram of an embodiment of a growth management system according to the present invention. It is a block diagram showing an example of composition of a data center. It is a block diagram which shows the function structure of the software which a terminal device runs. It is a figure (the 1) showing an example of data composition of sensor surveillance data. It is a figure (the 2) which shows the data structural example of sensor monitoring data. It is a figure (the 3) showing an example of data composition of sensor surveillance data. It is a figure which shows the data structural example of growth condition monitoring data. It is a flow chart which shows an example of prediction processing and graph generation processing. It is a block diagram showing an example of composition of a control board device. It is the graph (the 1) showing the state of a house predicted, and the setting state of a control apparatus. It is a graph (the 2) showing the state of a house predicted, and the setting state of a control apparatus. It is a figure for demonstrating the example of the automatic setting of a control apparatus. It is a block diagram of the hardware system which can implement | achieve the system of this embodiment.

Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings.
FIG. 1 is an overall configuration diagram of an embodiment of a growth management system according to the present invention.
In the house 103 which is a field where the crops are cultivated, various monitoring such as temperature 6, humidity 7, carbon dioxide (CO ₂ ) concentration 8, illuminance 9, soil moisture 10, dissolved oxygen 11, or accumulated solar radiation amount in the room. An environmental sensor 106 is installed to perform the

  In the house 103, a skylight (skylight opening and closing device) 12, a curtain (curtain opening and closing device) 13, a light shielding curtain (light shielding curtain opening and closing device) 14, a circulation fan 15, a carbon dioxide gas generator 16, a heater 17, a mist generator 18, some or all of the control devices such as the dehumidifier 19, the humidifier 20, and other auxiliary temperature control devices 21 are arranged.

  Furthermore, the house 103 is provided with a sensor control device 104 that collects sensor information such as sensor outputs of control devices such as the heater 17 and various sensor outputs such as the temperature 6 from the environment sensor 106. .

In addition, in the house 103, a control panel device 105 for controlling each control device such as the heater 17 is installed.
The sensor control device 104 and the control panel device 105 communicate with the data center 100 which is an example of the growth management device via the mobile phone line 113.

  For example, an individual user who is a farmer communicates with the data center 100 from the terminal device 109 via the Internet 114. The terminal device 109 is preferably a so-called tablet terminal, but may be a so-called smartphone terminal or personal computer. An individual user touches a button for function activation such as “recording of growth state”, “control device”, “environment sensor”, “graph generation”, “control device sequencer”, etc. displayed on the terminal device 109. Thus, each function described later can be used. The camera 110 or the microphone 111 built in the tablet terminal is used to record the growth status of the growing plant when the "growth status recording" function is selected (arrow 112).

The data center 100 includes a center server 101 and a center database 102.
FIG. 2 is a block diagram illustrating a configuration example of the data center 100 of FIG.
The center server 101 of the data center 100 includes a sensor monitoring data receiving unit 201, which is an example of a sensor information acquiring unit, a control device sequence transmitting unit 202, an Internet communication unit 203, a growth state monitoring data generating unit 204, and a harvest / revenue data receiving unit. 205, graph generation unit 206, control device sequence transfer unit 207, control device sequence download unit 208, control device sequence upload unit 209, performance information acquisition unit 210, prediction unit 211, weather prediction information acquisition unit 212, and data mining information acquisition A unit 213 is provided.

  The center database 102 of the data center 100 includes a monitoring data storage unit 214, a control device sequence storage unit 215, a performance information storage unit 216, a weather forecast information storage unit 217, and a data mining information storage unit 218.

  The monitoring data storage unit 214 in the center database 102 is, for example, an individual user who is a farmer or a shared user (for example, a professional farmer called "Meister" or a farmhouse having good results among division groups. The sensor monitoring data corresponding to the sensor output from various control devices such as the environment sensor 106 and the heater 17 of FIG. Further, the monitoring data storage unit 214 stores growth state monitoring data for monitoring the state of growth in plant growth.

  The control device sequence storage unit 215 in the center database 102 stores a control device sequence which is data for sequence control of various control devices corresponding to individual users and shared users.

  The performance information storage unit 216 in the center database 102 includes information on the size and shape of the house 103 such as the sky height 1, frontage 2 and depth 3 shown in FIG. 1, information on performance such as maximum output of various control devices, Information on the arrangement position of the control device in the house 103 is stored as performance information. This performance information can be said to be information representing the performance that the control device can exhibit in the house 103. As an example of the performance, it can be mentioned as an example how much the heater 17 can raise the temperature in the house 103 at maximum output within a predetermined time in the case of the temperature in the house 103 and the outside air temperature. . The performance information may be information on changes in sensor information such as sensor output of the environment sensor 106 or sensor output of the control device when various control devices are actually operated in the house 103.

  The weather forecasting information storage unit 217 in the center database 102 stores, for example, weather forecasting information that is a local forecast at the detailed location of the house 103. This weather forecast information is regularly updated with new information. It is possible to predict how the temperature, humidity, solar radiation amount, etc. change by using the weather forecast information.

  The data mining information storage unit 218 in the center database 102 is, for example, data mining information that is an algorithm obtained by data mining sensor information and control device setting information (control device sequence) of a plurality of users such as meisters. Remember. This data mining information includes information on the state of the house 103 that is considered to optimally grow crops from any viewpoint such as quality and yield.

  Next, the sensor monitoring data receiving unit 201 in the center server 101 receives sensor monitoring data corresponding to the sensor output of the environment sensor 106 and various control devices connected thereto from the sensor control device 104 of FIG. The data is stored in the data storage unit 214.

  The growth state monitoring data generation unit 204 in the center server 101 receives data recording the state of growth in the growth of plants by individual users from the terminal device 109 of FIG. 1 operated by the user, and based on the data The growth state monitoring data is generated and registered in the monitoring data storage unit 214.

  The harvest / revenue data receiving unit 205 in the center server 101 manages harvest / revenue data, which is data related to harvest and profit obtained as a result of growth of plants by individual users, for example, by an external JA (agricultural cooperative). It is received from the vegetable selection system and registered in the monitoring data storage unit 214 as a part of the growth state monitoring data.

  Although the graph generation unit 206 in the center server 101 will be described later in detail, as shown in FIG. 10, for example, a graph showing the state of the house 103 predicted by the prediction unit 211 in the same time series together with the setting state of the control device Generate. Then, the graph generation unit 206 outputs the graph to the terminal device 109. Here, the timing at which the graph generation unit 206 generates a graph is, for example, a timing at which the user touches the “graph generation” button displayed on the terminal device 109 in FIG. 1.

  The control device sequence download unit 208 in the center server 101 controls the control device sequence corresponding to the user at the timing when the user touches the “control device sequencer” button displayed on the terminal device 109 in FIG. It is read out from the device sequence storage unit 215 and downloaded to the terminal device 109 via the Internet communication unit 203.

  The control device sequence upload unit 209 in the center server 101 is, for example, at the timing when the user has finished editing the control device sequence after touching the “control device sequencer” button displayed on the terminal device 109 of FIG. The control device sequence corresponding to the user is uploaded from the terminal device 109 and stored in the control device sequence storage unit 215.

  The control device sequence transfer unit 207 in the center server 101 is, for example, a timing at which an individual user touches a “control device sequencer” button displayed on the terminal device 109 of FIG. Thus, for example, the control device sequence in the reference range corresponding to the shared user designated by the individual user is read from the control device sequence storage unit 215 and is imported as the individual control device sequence of the individual user. The data is stored in the storage unit 215. At this time, the transferred individual control device sequence may be downloaded to the terminal device 109 via the control device sequence download unit 208.

  The control device sequence transmission unit 202 in the center server 101 completes the editing of the control device sequence after, for example, the user touches the “control device sequencer” button displayed on the terminal device 109 of FIG. Is completed, the control device sequence corresponding to the user is read from the control device sequence storage unit 215 and transmitted to the control panel device 105 of FIG.

FIG. 9 is a block diagram illustrating a configuration example of the control panel device 105 of FIG.
The control device sequence receiving unit 901 receives a control device sequence from the data center 100.

The control device sequence storage unit 902 stores the individual control device sequence received by the control device sequence reception unit 901.
The control device sequence execution unit 903 is connected to any of the control device drive instruction units 904 # 1 to #M based on the control device sequence stored in the control device sequence storage unit 902 in FIG. A drive instruction to a control device such as the heater 17 is issued. As a result, the control devices respectively connected to the control device drive instructing units 904 of # 1 to #M are driven.

  Returning to FIG. 2, the Internet communication unit 203 in the center server 101 controls user login from the terminal device 109 in FIG. 1 and communication with the terminal device 109 via the Internet 114 in FIG.

  The performance information acquisition unit 210 in the center server 101 measures, for example, information on the sky height 1, frontage 2, depth 3 and the like related to the size and shape of the house 103 in advance and inputs the information to the terminal device 109 in FIG. Performance information is received from the terminal device 109 by inputting, to the terminal device 109, information on the performance such as the maximum output of various control devices. The performance information acquisition unit 210 may acquire performance information by performing processing such as calculating a volume from the received information, for example, information on the size and shape of the house 103. The performance information acquisition unit 210 may acquire the performance information by receiving sensor information change information output from the environmental sensor 106 or the control device when various control devices are actually operated in the house 103.

  The weather prediction information acquisition unit 212 in the center server 101 acquires, for example, by receiving weather prediction information that is a local prediction at a detailed location of the house 103 from a server of a weather prediction information provider.

  The data mining information acquisition unit 213 in the center server 101 differs from the data center 100 in data mining information obtained by data mining sensor information and control device setting information of a plurality of users such as meisters. Received from the device or acquired by data mining by itself. When data mining is performed by an apparatus different from the data center 100, the sensor information stored in the monitoring data storage unit 214 and the control device sequence (setting information of control devices) of a plurality of users stored in the control sequence storage unit 215 What is necessary is just to transmit to said apparatus.

  In FIG. 2, other than the growth state monitoring data generation unit 204, the harvest / revenue data reception unit 205, the graph generation unit 206, the performance information acquisition unit 210, the prediction unit 211, the weather prediction information acquisition unit 212, and the data mining information acquisition unit 213. Each function and the functions of the sensor control device 104 and the control panel device 105 illustrated in FIG. 1 are based on the technology described in the above-mentioned patent application disclosed in Japanese Patent Application Laid-Open No. 2015-072506 disclosed by the present applicant. The description thereof is omitted because it can be realized by using, and the entire disclosure of Patent Document 4 regarding these functions is incorporated herein by reference.

FIG. 3 is a block diagram showing a functional configuration of software executed by the terminal device 109 of FIG.
3, the growth state recording unit 301 is activated when an individual user operating the terminal device 109 illustrated in FIG. 1 touches a “growth state recording” button displayed on the terminal device 109 of FIG. 1. By accessing the monitoring data storage unit 214 in the center database 102 of the data center 100 in FIG. 2, an input form of the growth state monitoring data (see FIG. 7 described later) corresponding to the user is input to the terminal device 109. Display on the display. An individual user uses the input form displayed on the terminal device 109 to input the growth state of the plant he / she grows from the touch panel on the display.

  3, the control device information display unit 302 is activated when the user operating the terminal device 109 illustrated in FIG. 1 touches the “control device” button displayed on the terminal device 109 in FIG. By accessing the monitoring data storage unit 214 in the center database 102 of the second data center 100, the sensor output information of the control device of FIG. 1 corresponding to the above user is graphically displayed.

  The environmental sensor information display unit 303 is activated when the user operating the terminal device 109 touches the “environmental sensor” button displayed on the terminal device 109 in FIG. 1, and is stored in the center database 102 of the data center 100 in FIG. 2. By accessing the monitoring data storage unit 214, the information of each sensor output of the environmental sensor 106 in FIG. 1 corresponding to the user is displayed in a graph.

  The graph display unit 304 is activated when the user operating the terminal device 109 touches the “graph generation” button displayed on the terminal device 109 in FIG. 1, and the graph in the center server 101 of the data center 100 in FIG. 2 is displayed. By outputting the request to the generation unit 206, the graph generated by the graph generation unit 206 is downloaded and displayed on the screen of the terminal device 109.

  The control device sequence transfer instruction unit 305 is activated when an individual user operating the terminal device 109 touches the “control device sequence transfer” button displayed on the terminal device 109 of FIG. 1, and the data center 100 of FIG. The shared control device sequence corresponding to the shared user selected by the individual user is transferred as the individual control device sequence of the individual user to the control device sequence transfer unit 207 in the center server 101 of FIG.

  The control device sequence editing unit 306 is activated when the user operating the terminal device 109 touches the “control device sequence editing” button displayed on the terminal device 109 of FIG. 1.

  First, when the control device sequence editing unit 306 is activated, the control device sequence download unit 208 in the center server 101 of the data center 100 in FIG. Download to the terminal device 109.

Thereafter, the user edits the control device sequence while operating the editing screen of the control device sequence on the terminal device 109.
When the user completes the editing of the control device sequence and instructs the control device sequence editing unit 306 to end the control device sequence, the control device sequence editing unit 306 stores the control device sequence in the center server 101 of the data center 100 in FIG. The control device sequence upload unit 209 is accessed, and the individual control device sequence corresponding to the individual user is uploaded from the terminal device 109 to the data center 100.

  In FIG. 3, functions other than the growth state recording unit 301 and the graph display unit 304 can be realized by using the technique described in the above-mentioned patent application of Patent Document 4 disclosed by the present applicant, and therefore their explanation. Shall be omitted.

  A more specific operation of the growth state recording unit 301 in FIG. 3 will be described below. As described above, the growth state recording unit 301 is activated when the user who operates the terminal device 109 illustrated in FIG. 1 touches the “growth state recording” button displayed on the terminal device 109 of FIG. By accessing the monitoring data storage unit 214 in the center database 102 of the data center 100 of FIG. 2, the input form of the growth status monitoring data (see FIG. 7 described later) corresponding to the above user is displayed on the terminal device 109 To display.

An individual user can input the growth state of the plant he / she grows from the touch panel on the display using the input form displayed on the terminal device 109.
In addition, each individual user touches a “microphone” button (not shown) on the display to record numerical values and characters of the content that he / she pronounces with the microphone 111 (see FIG. 1) built in the terminal device 109. Then, by causing the terminal device 109 to execute voice recognition processing, it is possible to automatically input numerical values and characters to arbitrary input items on the input form on the display.

  Furthermore, an individual user captures an image of a plant with the camera 110 (see FIG. 1) incorporated in the terminal device 109 by touching a “photograph” button (not shown) on the display, and the image is obtained by the imaging. The image data can be transmitted from the terminal device 109 to the center server 101 in the data center 100 of FIG. In the center server 101, the Internet communication unit 203 receives the above-described image data from the terminal device 109 via the Internet 114 (see FIG. 1), and outputs the image data to the growth state monitoring data generation unit 204. Here, for example, a two-dimensional code or an IC chip may be arranged on a plant grown by the user, and the terminal device 109 may identify the plant based on such information. Further, for example, a cross marker seal serving as a reference value is attached to the plant. The growth state monitoring data generation unit 204 superimposes the position of the cross marker sticker on the input image data with the past image data and the latest image data, and automatically digitizes the difference between the images. , The amount of extension of the plant and the stem diameter (items 40 and 41 in FIG. 7 described later) can be automatically acquired. The growth state monitoring data generation unit 204 reflects the acquired numerical value on the corresponding input item of the input form displayed on the terminal device 109.

  By using the means as described above, the user can easily record the state of the growth of the plant he / she grows. When an individual user touches a button (not shown) indicating the end of recording on the terminal device 109, the content input to the input form is transmitted to the center server 101. In the center server 101, the Internet communication unit 203 receives data of the above-described input form from the terminal device 109 via the Internet 114 (see FIG. 1), and outputs the data to the growth state monitoring data generation unit 204. The growth state monitoring data generation unit 204 is based on the acquired input form data, and the growth state monitoring data corresponding to the user operating the terminal device 109 on the individual monitoring data storage unit 210 (see FIG. 7 described later). Update the contents of

  The operation of the harvest / revenue data receiving unit 205 in FIG. 2 will be described below. Generally, plants grown by individual users are shipped to JA (Agricultural Cooperatives) etc., where the size, sugar content and color are determined by a fruit selection machine, S and A (express), B and C (B 1st grade) and the like, and the yield for each rank is calculated. For example, the S or A class can be handled by a famous department store, but the C class cannot be handled by a supermarket or the like, and becomes a raw material for a processed product. Furthermore, the price of each rank of S, A, B, and C is determined by the market price (market information) at the shipping time by the computer system connected to the fruit chooser, and the revenue for each rank is calculated. The harvest / revenue data receiving unit 205 receives the yield and profit for each rank calculated in this way by the fruit selection system via the Internet or a dedicated network, and as a part of the growth state monitoring data. The data is taken into the monitoring data storage unit 214.

  FIGS. 4 to 7 are diagrams showing an example of the data configuration of data groups stored in the monitoring data storage unit 214 in the center database 102 of FIG. 2, and FIGS. 4 to 6 are data configuration examples of sensor monitoring data. FIG. 7 is a view showing an example of the data configuration of the growth state monitoring data.

  First, the sensor monitoring data of NO (item number) 1 to 5 shown in FIG. 4 is an external air management item, and is automatically acquired from the environment sensor 106 provided in the house 103 of FIG. The value of the environmental sensor 106 received by the sensor monitoring data reception unit 201 in the center server 101 is calculated by calculation.

  The sensor monitoring data of NOs 6 to 11 shown in FIGS. 4 and 5 are in-facility management items, and are automatically acquired from the environment sensor 106 provided in the house 103 of FIG. 1 or the center of FIG. The value is calculated by calculation from the value of the environment sensor 106 received by the sensor monitoring data reception unit 201 in the server 101.

Next, the sensor monitoring data of NO 12 to 27 shown in FIG. 6 is a nutrient solution management item and is automatically acquired from the environmental sensor 106 provided in the house 103 of FIG.
Next, the data of 28 to 39 among the growth state monitoring data of NO of 28 to 68 shown in FIG. 7 is automatically acquired from the fruit selection system by the harvest / revenue data receiving unit 205 of FIG. Data group, which is an item group indicating harvest and return of plants grown by individual users.

  Further, as shown in FIG. 7, the growth status monitoring data of NOs 40 to 68 are the growth status recording unit 301 (see FIG. 3) in the terminal device 109 described above and the growth status monitoring data generation unit 204 in the center server 101 (see FIG. It is a data group generated semi-automatically according to FIG. 2), and is a group of items indicating the state of growth in the growth of plants by the user.

  As described above, in this embodiment, as the monitoring data group to be stored in the monitoring data storage unit 214, in addition to the individual sensor monitoring data (individual sensor message) disclosed in Patent Document 4 described above by the present applicant, Monitoring data is managed. That is, in addition to sensor monitoring data such as natural environment and environment in the house 103 as an important factor of crop production, total harvest amount, cumulative total harvest amount, last year and cumulative total harvest amount, average fruit weight, waste amount, growth Amount, stem diameter, leaf length, number of leaves, height of flowering flower bunch, number of flowering trays, number of fruiting trays, number of harvesting trays, number of new fruits, number of newly harvested fruits, number of fresh fruits, planting density etc., Monitoring items for growth conditions important in plant growth are managed. At this time, in the present embodiment, the individual sensor monitoring data can be automatically acquired on a daily basis by the technique disclosed in Patent Document 4 described above by the present applicant. The growth state monitoring data is also generated and acquired semi-automatically by the above-described growth state recording unit 301 (see FIG. 3) in the terminal device 109 and the growth state monitoring data generation unit 204 (see FIG. 2) in the center server 101. can do.

  By comparing these sensor monitoring data and growth state monitoring data corresponding to individual users stored in the monitoring data storage unit 214 with the growth status monitoring data of the shared user stored in the monitoring data storage unit 214 It becomes possible to evaluate the process of plant growth in an individual user with higher accuracy. That is, relative comparison between the plant condition, environmental condition, harvest amount, cost, sales, profit, agrochemical amount, fertilization amount and nutrient solution amount of professional farmers and new farmers, and differential extraction with professional, analysis and improvement points It becomes possible to provide an industry standard template format for visualizing and comparing refinement and improvement policy decisions. In addition, for the purpose of quality improvement, yield expansion, skill enhancement promotion in sectional meetings, groups, plant condition, environmental condition, harvest amount, cost, sales, profit, pesticide amount, fertilization amount, nutrient solution amount, respectively, in-group score It is possible to set a standard and use it to check the overall ability status by ranking the inner arm of the group based on evaluation points and comparing deviation values for each year.

  Further, in the present embodiment, from the comparison result, the shared control device sequence of the user stored in the control device sequence storage unit 215 is transferred to the control device sequence disclosed in Patent Document 4 described above by the applicant. By using the editing function, each user can easily manage the optimal plant growth by reflecting the contents of the control device sequence corresponding to the individual user stored in the control device sequence storage unit 215. Is possible.

  FIG. 8 is a flowchart showing an example of prediction processing and graph generation processing corresponding to the functions of the prediction unit 211 and the graph generation unit 206 in the center server 101 of the data center 100. This processing is an operation in which a CPU (central processing unit) configuring the center server 101 executes a prediction processing program (graph generation processing program) stored in the memory (see the hardware configuration of FIG. 13 described later) . This process is activated, for example, by the user touching the "graph generation" button (see FIG. 1) of his or her terminal device 109.

  First, sensor monitoring data (sensor information) and growth status monitoring data of individual users are read from the monitoring data storage unit 214 in the center database 102 of FIG. 2 (step S801). When the data mining information acquisition step (S803) described later is omitted, instead, the shared user sensor monitoring data and the growth state monitoring data are also stored in the monitoring data storage unit 214 in the center database 102 of FIG. Should be read from

  Further, performance information of control devices of the house 103 corresponding to individual users is read from the performance information storage unit 216 in the center database 102 of FIG. 2 (step S802).

Further, the data mining information is read from the data mining information storage unit 218 in the center database 102 of FIG. 2 (step S803).
Further, the weather forecast information is read from the weather forecast information storage unit 217 in the center database 102 of FIG. 2 (step S804).

  Next, the prediction unit 211 in FIG. 2 predicts the state of the house 103 when the control device is operated, based on the performance information, the sensor information, and the weather prediction information (step S805). The prediction of the house state 103 is, for example, as shown in the graph of FIG. 10 described later, if the temperature is predicted when the heater 17 is used as a control device, the sky height 1, the frontage 2, and the depth shown in FIG. Based on the information on the size and shape of the house 103 such as 3rd grade and the information on the performance such as the maximum output of the heater 17, the heater 17 is operated with a certain setting (for example, a setting previously determined by the user) or a plurality of patterns. The temperature 6 obtained from the environmental sensor 106 is predicted to change. In addition, it is preferable to predict the temperature change based on the information of the future outside air temperature change by the weather prediction information. Alternatively, the prediction unit 211 may predict a temperature change for each hour or day based on time and season information. The prediction unit 211 may predict, as the state of the house 103, not only the temperature but also states such as carbon dioxide gas concentration, humidity, soil water transport, dissolved oxygen, and the amount of water in hydroponic culture.

  The prediction unit 211 may calculate a setting state of the control device that brings the predicted state of the house 103 close to a state obtained from data mining information or a state obtained from sensor monitoring data corresponding to a shared user. . As described in the above-mentioned patent application disclosed in Patent Document 4 disclosed by the applicant, the sensor monitoring data corresponding to the shared user is a control device sequence for the control device (individually corresponding to a series of control sequences). The control device sequence messages may be acquired from a physical medium storing the information or from an electronically configured setting card (trading card). In addition, when the apparatus which sprays a fertilizer or an agricultural chemical, etc. is used as a control apparatus, the application amount, application timing, etc. of a fertilizer, an agricultural chemical, etc. will be calculated as a setting state of a control apparatus.

  Next, the graph generation unit 206 in FIG. 2 generates a graph representing the state of the house 103 predicted by the prediction unit 211 in the same time series together with the setting state of the control device (for example, the heater 17) (step S806). , And transmits to the terminal device 109 (step S807). For example, as shown in FIG. 10, this graph is obtained by the above-described prediction unit 211, "a temperature value of actual results" which is a temperature obtained from shared user sensor information or a temperature obtained from data mining information “Temperature transition prediction” and “setting of heater” and “setting of skylight 12”, which are examples of control devices related to temperature, are included. The left and right in the graph indicate that the time advances as it goes to the right, and the upper and lower in the graph indicate that the temperature rises as it goes up. Thus, the graph generation unit 206 generates a graph representing the state of the house 103 (temperature transition prediction) predicted by the prediction unit 211 in the same time series together with the setting states of the heater 17 and the skylight 12 as control devices. .

  In the example of the graph of FIG. 10, the skylight 12 changes in five stages of opening 1 to 5 where the open area increases as the number increases. Moreover, although the heater 17 changes to OFF and ON, the magnitude | size change of preset temperature and an operating state may be represented. Further, a display such as “the temperature is turned to 度 degrees when ○ at time」 ”in the graph is an example of a display notified to the user when the temperature or the like is set.

  The graph generation unit 206 changes the position of the display portion of the setting state of the control device in the graph transmitted to the terminal device 109 by the user's operation (for example, drag and drop), thereby performing the operation of changing the setting of the control device. You may make it accept. For example, in the example of FIG. 10, the user changes the position of the line representing the setting of the skylight or the setting of the heater by the drag and drop in the terminal device 109, and the graph generating unit 206 receives this operation. It may be reflected in the control based on the re-prediction or the above-described control device sequence. In order to receive the user's operation, the graph in FIG. 10 is displayed on the upper part of the display of the terminal device 109, and the operation part on which the setting change operation is performed is displayed on the lower part of the display of the terminal device 109 May be in another part of the graph.

  With regard to the graph of FIG. 10 described above, the actual temperature numerical value is, for example, as shown in FIG. 11, in line with the overall tendency that the temperature rises (the straight line rising to the right) as time progresses. A graph may be generated by the graph generation unit 206 so as to fill and highlight the differences. In addition, the whole tendency may be that the temperature does not change even if time passes in the time zone where the temperature change is small. In this case, it is good to fill in and highlight the difference with the straight line extended to the left and right without a temperature change.

  In addition, the prediction unit 211 determines the state of the house 103 to be predicted over the long term (multiple days, multiple weeks, or multiple months), the sensor monitoring data corresponding to the state obtained by the data mining information or the shared user. It is also possible to calculate the setting state of the control device that brings it close to the state obtained from the above. Furthermore, as shown in FIG. 12, on the setting screen displayed on the terminal device 109, the setting of priority of yield, priority of quality, shipping time, etc. is accepted, and the prediction unit 211 performs long-term prediction and control Automatic control of the device may be performed.

  For example, when giving priority to yield or quality, the predicting unit 211 calculates a setting state of the control device that is close to a state obtained from sensor monitoring data or the like corresponding to another shared user with excellent yield or quality. . Further, when the shipping time is advanced, the prediction unit 211 calculates the setting state of the control device that is close to the state obtained from the sensor monitoring data corresponding to other shared users whose collection time is early. Alternatively, the device that performs the above-described data mining may obtain, from the data mining information, the setting state of the control device that brings the state of excellent yield or quality or the state of early collection time closer.

  As described above, the prediction unit 211 performs automatic control of the above-described control device, so that automatic control of the control device in a foreign house 103 different from the country in which the data center 100 is installed is shared as know-how. This can be done while matching with the foreign environment based on the sensor information, the weather forecast information, etc. without flowing out the sensor information of the user and the setting information of the control device. In the setting screen illustrated in FIG. 12, other elements such as a cost level and a level for suppressing disease may be set.

  When the prediction unit 211 performs such a calculation, as shown in the graph on the upper right of FIG. 12, the graph of the predicted temperature and carbon dioxide gas concentration and the setting state of the heater 17 and the skylight 12 is based on the user's operation. The graph generation unit 206 may cause the terminal device 109 to display. Further, as shown in the table on the lower right of FIG. 12, the prediction unit 211 sets the setting state of the control device such as the heater 17 and the carbon dioxide gas generator (photosynthesis accelerator) to the user's operation as described above. For example, it may be displayed on the terminal device 109 on a daily basis.

  Further, as shown in FIG. 11, when the setting of the control device for calculating “temperature transition prediction” closer to “actual temperature numerical value” is calculated by the prediction unit 211, the information of this automatic correction is used as an apparatus for data mining. It is good to let the said apparatus self-learn so that it may transmit and the state of the house 103 obtained by data mining information may become more exact. Moreover, it is good to make the said apparatus learn various cultivation methods of a plant about an optimal cultivation method using AI, and it is good to reflect it on data mining information. The forecasting unit 211 may calculate the shipping time and control the shipping time based on market trends and market conditions.

FIG. 13 is a block diagram of a hardware system that can realize the system of the data center 100 shown in the block diagram of FIG. 2 according to the present embodiment.
The computer shown in FIG. 13 includes a CPU 1301, a memory 1302, an input device 1303, an output device 1304, an external storage device 1305, a portable recording medium driving device 1306 into which a portable recording medium 1309 is inserted, and a communication interface 1307. , These are connected to each other by a bus 1308. The configuration shown in FIG. 13 is an example of a computer that can realize the above system, and such a computer is not limited to this configuration.

  The CPU 1301 controls the entire computer. The memory 1302 is a memory such as a RAM that temporarily stores a program or data stored in the external storage device 1305 (or the portable storage medium 1309) when executing a program, updating data, or the like. The CPU 1301 performs overall control by reading a program into the memory 1302 and executing the program.

  The input / output device 1303 detects an input operation by a user using a keyboard, a mouse, or the like, notifies the CPU 1301 of the detection result, and outputs data transmitted under the control of the CPU 1301 to a display device or a printing device.

The external storage device 1305 is, for example, a hard disk storage device. It is mainly used for storing various data and programs.
The portable recording medium driving device 1306 accommodates a portable recording medium 1309 such as an optical disk, SDRAM, or Compact Flash (registered trademark), and has an auxiliary role for the external storage device 1305.

  The communication interface 1307 is a device for connecting a communication line of, for example, a LAN (local area network) or a WAN (wide area network). These networks correspond to the mobile phone line 113 and the Internet 114 of FIG.

  The system according to the present embodiment is realized by the CPU 1301 executing a program equipped with the functions realized by the block diagram of FIG. 2 and the flowchart of FIG. The program may be recorded and distributed in, for example, the external storage device 1305 or the portable recording medium 1309, or may be obtained from the network by the communication interface 1307.

  In the embodiment described above, in the data center 100 (see FIG. 2) which is an example of the growth management apparatus, control devices such as the heater 17 installed in the house 103 (see FIG. 1) where crops are grown are A performance information acquisition unit 210 that acquires performance information representing performance that can be performed in 103, and various types of sensor output from control devices and environment sensors 106 as an example of sensor information detected by a sensor installed in the house 103 A sensor monitoring data reception unit (an example of a sensor information acquisition unit) 201 that acquires a sensor output; and a prediction unit 211 that predicts the state of the house 103 when the control device is operated based on at least performance information and sensor information; Is provided. Therefore, the state of the house 103 can be predicted based on the performance information indicating the performance that the control device can exhibit in the house 103 and the sensor information detected by the sensor installed in the house 103. In this way, accurate control can be performed according to each house 103.

  In the present embodiment, the data center 100 further includes a weather prediction information acquisition unit 212 that acquires weather prediction information, and the prediction unit 211 is based on at least performance information, sensor information, and weather prediction information. Predict the state of 103. Therefore, the state of the house 103 can be predicted more accurately.

  In the present embodiment, the data center 100 generates a graph (see FIGS. 10 and 11) that represents the state of the house 103 predicted by the prediction unit 211 in the same time series together with the setting state of the control device. The generation unit 206 is further provided. Therefore, the user can intuitively recognize the state of the house 103.

  In the present embodiment, the graph generation unit 206 accepts an operation for changing the setting of the control device by changing the position of the display portion of the setting state of the control device in the graph by a user operation. Thereby, the convenience of the user can be improved.

  Further, in the present embodiment, the prediction unit 211 is a control device that brings the predicted state of the house 103 closer to the state obtained from the sensor information (or the setting state of the control device) corresponding to the shared user. Calculate the setting status. Therefore, the predicted state of the house 103 can be brought close to a desired state.

  In the present embodiment, the data center 100 includes a data mining information acquisition unit 213 that acquires data mining information obtained by data mining information including at least sensor information of a plurality of users and setting information of control devices. In addition, the prediction unit 211 calculates a setting state of the control device that brings the predicted state of the house 103 close to the state obtained from the data mining information. Therefore, the predicted state of the house 103 can be brought close to a desired state.

12 Skylight (skylight opening and closing device)
13 Curtain (curtain opening and closing device)
14 Shading curtain (shading curtain opening and closing device)
DESCRIPTION OF SYMBOLS 15 Circulation fan 16 Carbon dioxide generator 17 Heater 18 Mist generator 19 Dehumidifier 20 Humidifier 21 Other auxiliary temperature control equipment 100 Data center 101 Center server 102 Center database 103 House (field)
DESCRIPTION OF SYMBOLS 104 Sensor control apparatus 105 Control panel apparatus 106 Environmental sensor 109 Terminal apparatus 110 Camera 111 Microphone 113 Mobile phone line 114 Internet 201 Sensor monitoring data receiving part 202 Control apparatus sequence transmission part 203 Internet communication part 204 Growth condition monitoring data generation part 205 Harvest / Revenue data reception unit 206 Graph generation unit 207 Control equipment sequence import unit 208 Control equipment sequence download unit 209 Control equipment sequence upload unit 210 Performance information acquisition unit 211 Prediction unit 212 Weather forecast information acquisition unit 213 Data mining information acquisition unit 214 Monitored data storage Part 215 Control device sequence storage part 216 Performance information storage part 217 Weather forecast information storage part 218 Data mining information storage part 3 01 growth status recording unit 302 control device information display unit 303 environment sensor information display unit 304 graph display unit 305 control device sequence import instruction unit 306 control device sequence editing unit 901 control device sequence message reception unit 902 control device sequence message storage unit 903 control Device sequence execution unit 904 Control device drive instruction unit

Claims (6)

A performance information acquisition unit that acquires performance information representing performance that can be exhibited in the house by a control device installed in the house where the crop is grown; and
A sensor information acquisition unit for acquiring sensor information detected by a sensor installed in the house;
A prediction unit that predicts the state of the house when the control device is operated based on at least the performance information and the sensor information;
A graph generation unit that generates a graph that represents the state of the house predicted by the prediction unit in the same time series as the setting state of the control device;
Equipped with a,
The graph generation unit accepts an operation for changing the setting of the control device by changing the position of the line of the display portion of the setting state of the control device in the graph by an operation on the user's graph.
Growth management device comprising a call. A weather forecast information acquisition unit for acquiring weather forecast information;
The prediction unit predicts the state of the house based on at least the performance information, the sensor information, and the weather prediction information.
The growth management device according to claim 1, characterized in that: The prediction unit, the state of the house to be predicted, according to claim 1, wherein calculating a setting state of the control device closer to the state obtained from the sensor information corresponding to the user to be shared Growth management equipment. A data mining information acquisition unit for acquiring data mining information obtained by data mining information including at least the sensor information of the plurality of users and the setting information of the control device;
The prediction unit, the state of the house to be predicted, growth management apparatus according to claim 1, wherein calculating a setting state of the control device closer to the state obtained by the data mining information. A control device installed in a house for cultivating agricultural products acquires performance information indicating performance that can be exhibited in the house,
Obtain sensor information detected by sensors installed in the house,
Based on at least the performance information and the sensor information, predicts the house state when is operated the control device,
Generating a graph that represents the state of the house to be predicted in the same time series as the setting state of the control device;
The operation of changing the setting of the control device is accepted by changing the position of the line of the display portion of the setting state of the control device in the graph by an operation on the user's graph.
Growth management method characterized by A function of acquiring performance information representing the performance that can be exhibited in the house by a control device installed in the house for growing crops;
A function of acquiring sensor information detected by a sensor installed in the house;
A function of predicting the state of the house when the control device is operated based on at least the performance information and the sensor information;
A function of generating a graph that represents the state of the house to be predicted in the same time series as the setting state of the control device;
A function of accepting an operation for changing the setting of the control device by changing the position of the line of the display portion of the setting state of the control device in the graph by an operation on the user's graph;
A program that causes a computer to realize the program.