JP2017163955A - Growth management apparatus, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a control technique for controlling an agricultural apparatus consisting of various environment sensors and various control apparatus in a field, a house, or the like, the technique being capable of managing the growing state in plant growth cultivated by a user in association with the control of the agricultural apparatus.SOLUTION: An individual monitoring data storage part 210 and a share monitoring data storage part 212 memorize individual/share sensor monitoring data corresponding to the output from the sensor which monitors environmental conditions and individual/share growth condition-monitoring data which monitors growth conditions, in the plant growth by an individual user and shared users. A determining sheet generation part 206 produces individual sensor monitoring data and share sensor monitoring data, and a determining sheet which is tabular data for comparing and indicating individual growth state data and share growth state data in a predetermined period unit to make a terminal unit display.SELECTED DRAWING: Figure 2

Description

  The present invention is an apparatus for managing plant growth while controlling agricultural equipment comprising various environmental sensors and various control devices such as ventilation window control, curtain control, circulation fan control, and heating control in a farm or house. , Method and program.

  2. Description of the Related Art Conventionally, as a growth management device for managing the growth of plants in a farm or a house, the following is known (for example, Patent Document 1). A farmer database and a farm server in a farmer information management system for managing agricultural production information, and a center database and a center server in a center information management system for managing agricultural production information in a data center. In this system, the agricultural production information acquired by the farmer is stored in the farmer database, stored in the center database via the farmer server, and an arbitrary terminal device accesses the center server, so that the agricultural production information is stored in the center database. Each database and each server are installed so that information can be collected, stored, updated, and processed.

  Moreover, the following are conventionally known as a plant breeding system or information providing service for effectively growing plants (for example, Patent Document 2). Information is received via an environment detection means and a growth control means from a plurality of plant growth devices each comprising an environment detection means, an environment operation means, a growth control means for controlling them, and a communication means, and the plant growth system It is stored in a database or distributed to a user terminal device. Also, the distribution information is generated based on the accumulated information or the received information, and the environment operation means is provided via the growth control means of each plant growing apparatus by the distribution information or by remote operation from the user terminal device. Be controlled.

  On the other hand, in order to optimize the environmental conditions of crops cultivated in facility horticulture, the following are known as conventional techniques for easily obtaining information on changes accompanying crop growth (for example, patents) Reference 3). Part of the observation target plant cultivated in the growing space is acquired as image information in the information processing unit, and the growth length from the base point label directly attached to the observation target plant to the measurement target is acquired by the information processing unit By doing so, it is possible to grasp the causal relationship between the growth of the crop and the environmental conditions, and it is possible to improve the quality of the product harvested from the crop and increase the yield.

  Furthermore, conventionally, once a week using a tape measure, the user himself / herself conducted a growth survey on the stem extension, stem diameter, leaf area index, and number of leaves, and photographed the recording paper on which the data was written. Then, a service is known that sends back the “visualization of tree vigor and statistical analysis results” within 24 hours (for example, Non-Patent Document 1).

JP 2005-38019 A JP 2004-298069 A Japanese Patent Laying-Open No. 2015-202056 Japanese Patent Laid-Open No. 2015-072506

"Effective utilization support of weekly growth survey data", [online], PLANT DATA JAPAN, [Search February 25, 2016], Internet <URL: http: // plantdatajapan. com /? mode = f16>

  However, in the above-described conventional technology, the control device is used to control the cultivation environment of crops and plants 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. Even though there is a description that the control is performed through this method, it has not been disclosed how to perform the control specifically. Therefore, for example, there has been a problem that it is difficult to link good training by an excellent farmer or exemplary training to control of a specific control device.

  In particular, in farms and houses, it is not possible to optimally manage the growth of plants (hereinafter, including crops) simply by controlling agricultural equipment consisting of various environmental sensors and various control equipment. It is important to perform the following control of agricultural equipment while judging the relevance to the state of plant growth. However, in the prior art, although the state of plant growth can be investigated using a tape measure or the like, the record is only sent by e-mail, and the information indicating the state of plant growth is used for agricultural purposes. In order to control the equipment, the service of “visualization of trees and statistical analysis results” had to be received from the business operator, which was very time-consuming.

  The present applicant, based on the patent application of Patent Document 4, provides the sensor output information and the sequence control information of the control device in the growth of an excellent plant by an excellent farmer (Meister) as an example, the shared sensor message, A technique of sharing among a plurality of users as a shared control device sequence message has been disclosed. Thereby, it is possible to easily compare the environmental state in the growth of the plant by the user himself with the environmental state in the growth of the plant by the Meister user, etc. The example of the sequence control can be easily taken into the sequence control of the control device in the plant growth by the user himself.

  An object of the present invention is to make it possible to manage the growth state of a plant cultivated by a user in association with the control of agricultural equipment. More preferably, in addition to the state of control of agricultural equipment in another growing environment, the growth state in the growth of plants cultivated in the growing environment is also shared information, so that the user's own growing environment and other growing environments It is an object of the present invention to enable a more accurate comparison with the above and an optimum incorporation of control cases in other breeding environments into the control of the user's own control device.

  In one example, individual monitoring for storing individual sensor monitoring data corresponding to an output from a sensor for monitoring an environmental state and individual growth state monitoring data for monitoring a growth state in the growth of a plant by an individual user. A data storage unit, an individual control device sequence storage unit that stores an individual control device sequence that is data for controlling the sequence of a control device that operates an environmental state in plant growth by an individual user, and among individual users A shared monitoring data storage unit that stores individual sensor monitoring data and individual growth state monitoring data corresponding to the shared user as shared sensor monitoring data and shared growth state monitoring data, respectively, and a shared user among individual users Shared control device that stores corresponding individual control device sequence as shared control device sequence -A determination sheet, which is a table data for comparing and displaying individual sensor monitoring data and shared sensor monitoring data, and individual growth state data and shared growth state data in a unit of a predetermined period, is generated for each user. And a determination sheet generation unit to be displayed on the terminal device operated by.

  According to one aspect of the present invention, it becomes possible to manage the state of growth in the growth of a plant cultivated by a user in association with the control of agricultural equipment. Moreover, in addition to the state of control of the agricultural equipment in the other growing environment, the growth state of the plant grown in the growing environment is also shared information, so that the user's own growing environment and the other growing environment In addition, it is possible to make a comparison with high accuracy and to incorporate the control examples in other training environments into the control of the user's own control device.

1 is an overall configuration diagram of an embodiment of a growth management system according to the present invention. It is a block diagram which shows the structural example of a data center. It is a block diagram which shows the function structure of the software which a terminal device performs. It is a figure (the 1) which shows the data structural example of sensor monitoring data. It is a figure (the 2) which shows the data structural example of sensor monitoring data. FIG. 6 is a third diagram illustrating a data configuration example of sensor monitoring data. It is a figure which shows the data structural example of growth state monitoring data. It is a flowchart which shows the example of a determination sheet | seat production | generation process. It is a figure which shows the detailed example of a daily determination data creation process. It is a figure which shows the example of daily determination data. It is a figure which shows the detailed example of a week unit determination data creation process. It is a figure which shows the example of weekly determination data. It is a figure which shows the detailed example of a monthly unit determination data creation process. It is a figure which shows the example of monthly unit determination data. It is a figure which shows the detailed example of a season unit determination data creation process. It is a figure which shows the example of season unit determination data. It is a figure which shows the example of a display of a determination sheet. It is a figure which shows the detailed example of the whole comparison graph and sensor comparison graph in the example of a display of a determination sheet. It is a figure which shows the detailed example of the growth performance in the example of a display of a determination sheet, the harvest performance, the irrigation performance, and determination. 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.
The house 103 which is an agricultural field is provided with an environmental sensor 106 for performing various types of monitoring such as the temperature, humidity, illuminance, accumulated solar radiation, or carbon dioxide concentration in the room.

  Further, the house 103 requires a house kaonki 107, which is a hot air heater that is a part of the control device 108, and other control devices 108 such as a window opening / closing device, a curtain control device, a lighting control device, or an air conditioning control device. Depending on the installation.

  Further, the house 103 has a sensor control for collecting various sensor outputs such as the heating temperature sensor output in the house kaonki 107 and the temperature, humidity, illuminance, integrated solar radiation amount, or carbon dioxide concentration in the house 103 from the environmental sensor 106. A device 104 is installed.

  In addition, the house 103 is provided with a control panel device 105 for controlling each control device 108 including a house gate 107, a window opening / closing device, a curtain control device, a lighting control device, or an air conditioning control device.

The sensor control device 104 and the control panel device 105 communicate with the data center 100 via the mobile phone line 113.
For example, an individual user who is a farmer communicates with the data center 100 via the Internet 114 from the terminal device 109. 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”, “house keeper”, “environment sensor”, “judgment sheet”, “control device sequencer”, etc. displayed on the terminal device 109, to be described later. Functions can be used. The camera 110 or the microphone 111 incorporated in the tablet terminal is used to record the growth state of the plant that is growing as shown by the arrow 112 when the “growth state recording” function is selected. Is done.

The data center 100 includes a center server 101 and a center database 102.
The data center 100 is connected to a fruit selection system 120 managed by, for example, JA (Agricultural Cooperative Association) or the like via the Internet or a dedicated line network 115.

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, a control device sequence transmitting unit 202, an Internet communication unit 203, a growth state monitoring data generating unit 204, a harvest / revenue data receiving unit 205, a determination sheet generating unit 206, A control device sequence transfer unit 207, a control device sequence download unit 208, and a control device sequence upload unit 209 are provided.

  The center database 102 of the data center 100 includes an individual monitoring data storage unit 210, an individual control device sequence storage unit 211, a shared monitoring data storage unit 212, and a shared control device sequence storage unit 213.

  The individual monitoring data storage unit 210 in the center database 102 is an individual sensor monitoring corresponding to the sensor output from the environmental sensor 106 or House Kaonoki 107 in FIG. Store the data. The individual monitoring data storage unit 210 stores individual growth state monitoring data for monitoring the growth state in plant growth by individual users.

  The individual control device sequence storage unit 211 in the center database 102 is data for performing sequence control on the control device 108 (including the house bonfire 107) in FIG. 1 that operates the state of the environment in plant growth by individual users. Store the sequence.

  The shared monitoring data storage unit 212 in the center database 102 includes individual sensor monitoring data and individual growth state monitoring data corresponding to a shared user among individual users as shared sensor monitoring data and shared growth state monitoring data, respectively. Remember.

  The shared control device sequence storage unit 213 in the center database 102 stores an individual control device sequence corresponding to a shared user among individual users as a shared control device sequence.

Here, the shared user is a Meister user who has good performance of plant growth among individual users.
Next, the sensor monitoring data receiving unit 201 in the center server 101 receives the individual sensor monitoring data corresponding to the sensor outputs of the environmental sensor 106 and the House Kaonki 107 connected thereto from the sensor control device 104 in FIG. The data is stored in the monitoring data storage unit 210. The individual sensor monitoring data is, for example, a standardized individual sensor message.

  The growth state monitoring data generation unit 204 in the center server 101 receives data that records the growth state of plant growth by individual users from the terminal device 109 of FIG. 1 operated by the user, and based on the data. Individual growth state monitoring data is generated and registered in the individual monitoring data storage unit 210.

  The harvest / revenue data receiving unit 205 in the center server 101 receives harvest / revenue data, which is data related to harvest and revenue obtained as a result of the growth of plants by individual users, for example outside JA (agricultural cooperation) shown in FIG. Received from the fruit selection system 120 managed by the association) and registered in the individual monitoring data storage unit 210 as a part of the individual growth state monitoring data.

  The determination sheet generation unit 206 in the center server 101 has individual sensor monitoring data and individual control device sequences corresponding to individual users in a predetermined period unit (for example, daily unit, week unit, month unit, or season unit). , The shared sensor monitoring data and the shared control device sequence corresponding to a predetermined shared user are respectively stored in the individual monitoring data storage unit 210, the individual control device sequence storage unit 211, the shared monitoring data storage unit 212, and the shared control device sequence storage. Read from the unit 213. Next, the determination sheet generation unit 206 generates a determination sheet which is table data for comparing and displaying the individual sensor monitoring data and the shared sensor monitoring data, and the individual growth state data and the shared growth state data in the predetermined period unit. Generate. Then, the determination sheet generation unit 206 outputs the determination sheet to the terminal device 109, for example, at the timing when an individual user touches the “determination sheet” button displayed on the terminal device 109 of FIG. Here, the timing at which the determination sheet generation unit 206 generates a determination sheet for each individual user may be a unique timing scheduled by the determination sheet generation unit 206 itself. It may be the timing at which the “determination sheet” button displayed on the terminal device 109 is touched.

  The control device sequence download unit 208 in the center server 101 performs, for example, individual control corresponding to an individual user at the timing when the individual user touches the “control device sequencer” button displayed on the terminal device 109 of FIG. The device sequence is read from the individual control device sequence storage unit 211 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, for example, at the timing when the individual user has finished editing the control device sequence after touching the “control device sequencer” button displayed on the terminal device 109 of FIG. The individual control device sequence corresponding to the individual user is uploaded from the terminal device 109 and stored in the individual control device sequence storage unit 211.

  The control device sequence transfer unit 207 in the center server 101 is, for example, a timing when an individual user touches a “control device sequencer” button displayed on the terminal device 109 in FIG. Thus, for example, the shared control device sequence in the reference range designated by the individual user corresponding to the shared user designated by the individual user is read from the shared control device sequence storage unit 213, and the individual control device of the individual user is read out. It is transferred as a sequence and stored in the individual control device sequence storage unit 211. 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 editing of the control device sequence after, for example, an individual user touches the “control device sequencer” button displayed on the terminal device 109 of FIG. At the timing when the upload is completed, the individual control device sequence corresponding to the individual user is read from the individual control device sequence storage unit 211 and transmitted to the control panel device 105 in FIG.

  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.

  2, functions other than the growth state monitoring data generation unit 204, the harvest / revenue data reception unit 205, and the determination sheet generation unit 206, and the functions of the sensor control device 104 and the control panel device 105 illustrated in FIG. Since it can be realized by using the technique described in the above-mentioned patent application disclosed in Patent Document 4 disclosed by the present applicant, the description thereof will be omitted, and all the disclosed contents of Patent Document 4 relating to these functions are referred to. Is incorporated into the present application.

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 individual monitoring data storage unit 210 in the center database 102 of the data center 100 in FIG. 2, an input form of individual growth state monitoring data (see FIG. 7 described later) corresponding to the individual user is displayed on the terminal. This is displayed on the display of the device 109. 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.

  In FIG. 3, the house turn information display unit 302 is activated when an individual user operating the terminal device 109 illustrated in FIG. 1 touches the “house turn on” button displayed on the terminal device 109 in FIG. 1. By accessing the individual monitoring data storage unit 210 in the center database 102 of the second data center 100, the sensor output information of the House Kazuki 107 of FIG. 1 corresponding to the individual user is displayed in a graph.

  The environmental sensor information display unit 303 is activated when an individual user who operates the terminal device 109 touches the “environment sensor” button displayed on the terminal device 109 of FIG. 1, and the center database of the data center 100 of FIG. By accessing the individual monitoring data storage unit 210 in 102, information of each sensor output of the environmental sensor 106 in FIG. 1 corresponding to the individual user is displayed in a graph.

  The determination sheet display unit 304 is activated when an individual user who operates the terminal device 109 touches a “determination sheet” button displayed on the terminal device 109 in FIG. 1, and is activated by the center server 101 of the data center 100 in FIG. By outputting a request to the determination sheet generation unit 206, the determination sheet generated by the determination sheet 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 a “control device sequence transfer” button displayed on the terminal device 109 of FIG. 1, and the data center 100 of FIG. The control device sequence transfer unit 207 in the center server 101 transfers the shared control device sequence corresponding to the shared user selected by the individual user as the individual control device sequence of the individual user.

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

  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. 2 is accessed, and the individual control device sequence corresponding to the individual user is stored in the data center. 100 is downloaded to the terminal device 109.

Thereafter, the individual user edits the control device sequence while operating the control device sequence edit screen on the terminal device 109.
When the individual 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 data in the center server 101 of the data center 100 in FIG. The control device sequence upload unit 209 is accessed to upload the individual control device sequence corresponding to the individual user from the terminal device 109 to the data center 100.

  In FIG. 3, functions other than the growth state recording unit 301 and the determination sheet display unit 304 can be realized by using the technique described in the above-mentioned patent document 4 disclosed by the applicant of the present application. The description will be omitted, and the entire disclosure of Patent Document 4 regarding these functions is incorporated into the present application by reference.

  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 an individual user operating the terminal 109 illustrated in FIG. 1 touches the “growth state recording” button displayed on the terminal device 109 of FIG. By accessing the individual monitoring data storage unit 210 in the center database 102 of the data center 100 in FIG. 2, an input form of individual growth state monitoring data (see FIG. 7 described later) corresponding to the individual user is displayed on the terminal. This is displayed on the display of the device 109.

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 a camera 110 (see FIG. 1) built in the terminal device 109 by touching a “shoot” button (not shown) on the display, and is obtained by the imaging. 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 it to the growth state monitoring data generation unit 204. Here, for example, a cross marker seal serving as a reference value is affixed to a plant grown by an individual user to be imaged. 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 plant elongation and 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, an individual user can easily record the growth state of the plant he / she grows. When an individual user touches a button indicating the end of recording (not shown) on the terminal device 109, the content input in the input form is transmitted to the center server 101. In the center server 101, the Internet communication unit 203 receives the above-described input form data from the terminal device 109 via the Internet 114 (see FIG. 1), and outputs it to the growth state monitoring data generation unit 204. Based on the acquired input form data, the growth state monitoring data generation unit 204 stores individual growth state monitoring data corresponding to individual users who operate the terminal device 109 on the individual monitoring data storage unit 210 (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. In general, plants cultivated by individual users are shipped to JA (Agricultural Cooperatives) etc., where the size, sugar content, and color are determined by a fruit selection machine, and S and A (Express), B and C ( 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. Further, the computer system connected to the fruit selection machine determines the price of each rank of S, A, B, and C based on the market price (market information) at the time of shipment, and calculates the profit for each rank. . The harvest / revenue data receiving unit 205 receives the yield and profit for each rank calculated in this way by the fruit selector system 120 (see FIG. 1) via the Internet or the dedicated line network 115, and individually. The data is taken into the individual monitoring data storage unit 210 as part of the growth state monitoring data.

  4 to 7 are diagrams showing data configuration examples of data groups stored in the individual monitoring data storage unit 210 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 diagram showing a data configuration example of the growth state monitoring data.

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

  The sensor monitoring data of NO 6 to 11 shown in FIGS. 4 and 5 are in-facility management items and are automatically acquired from the environmental sensor 106 provided in the house 103 of FIG. 1 or the center of FIG. Calculation is performed from the value of the environmental sensor 106 received by the sensor monitoring data receiving 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 in the growth state monitoring data of NO of 28 to 68 shown in FIG. 7 is collected by the harvest / revenue data receiving unit 205 of FIG. 2 described above (see FIG. 1). This is a data group that is automatically acquired from, and is an item group that shows the harvest and profit of plants grown by individual users.

  Further, the growth state monitoring data with NO of 40 to 68 shown in FIG. 7 is the growth state recording unit 301 (see FIG. 3) in the terminal device 109 and the growth state monitoring data generation unit 204 (in FIG. 7). FIG. 2) is a data group that is generated semi-automatically, and is an item group that shows the state of growth in plant growth by individual users.

  As described above, in the present embodiment, as the monitoring data group to be stored in the individual monitoring data storage unit 210, in addition to the individual sensor monitoring data (individual sensor message) disclosed in Patent Document 4 described above by the applicant, Growth status monitoring data is managed. In other words, as important elements of crop production, in addition to sensor monitoring data such as the natural environment and the environment in the house 103, total yield, total total harvest, last year / total total harvest, average fruit weight, waste, growth Amount, stem diameter, leaf length, number of leaves, flowering flower height, number of flowering stages, number of fruiting stages, number of harvesting stages, number of newly harvested fruit, number of newly harvested fruit, number of current fruiting, planting density, etc. Monitoring items for growth conditions important in plant growth are managed. At this time, in this 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 applicant. The individual growth state monitoring data is also generated 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 be acquired.

  These individual sensor monitoring data and individual growth state monitoring data corresponding to individual users stored in the individual monitoring data storage unit 210 are shared with the shared user ("Meister") stored in the shared monitoring data storage unit 212. It is possible to more accurately evaluate the process of plant growth in individual users by comparing with the individual growth status monitoring data of a professional farmer or an excellent farmer such as a farmer who performs well in a subgroup. It becomes possible. In other words, the relative status of plant status, environmental status, harvest amount, cost, sales, profit, pesticide amount, fertilizer and nutrient solution of professional farmers and new farmers is compared, and the difference extraction, analysis, and improvement points with professionals are compared. It becomes possible to provide an industry standard template format for visualizing and comparing congestion and improvement policy decisions. In addition, for the purpose of improving quality, increasing yield, and promoting skills enhancement within subcommittees / organizations, plant status, environmental conditions, harvest amount, cost, sales, profits, amount of agricultural chemicals, fertilizer application, and nutrient solution amount are evaluated within the group. 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, based on the comparison result, the shared user shared control device sequence stored in the shared control device sequence storage unit 213 is the control device sequence disclosed in Patent Document 4 described above by the present applicant. By using the transfer and editing functions, individual users can easily manage optimal plant growth by reflecting the contents of the control device sequences corresponding to the individual users stored in the individual control device sequence storage unit 211. Can be performed.

  FIG. 8 is a flowchart illustrating an example of determination sheet generation processing corresponding to the function of the determination sheet generation unit 206 in the center server 101 of the data center 100 in order to realize the above comparison function. This processing is an operation in which a CPU (central processing unit) constituting the center server 101 executes a determination sheet generation processing program stored in the memory (see a hardware configuration in FIG. 20 described later). This process is started when an individual user clicks a “determination sheet” button (see FIG. 1) of his / her terminal device 109.

First, individual sensor monitoring data and individual growth state monitoring data are read from the individual monitoring data storage unit 210 in the center database 102 of FIG. 2 (step S801).
Next, the shared sensor monitoring data and the shared growth state monitoring data are read from the shared monitoring data storage unit 212 in the center database 102 of FIG. 2 (step S802).

  Thereafter, the daily unit determination data creation process (step S803), the week unit determination data creation process (step S804), the month unit determination data creation process (step S805), and the season unit determination data creation process (step S806) are sequentially executed. The

FIG. 9 is a flowchart showing a detailed example of the daily unit determination data creation processing in step S803 of FIG.
First, a first date within a period designated by an individual user is designated (step S901). Thereafter, while the date is incremented by one day in step S909, the following series of processing from step S902 to S908 is repeatedly executed until it is determined in step S910 that the date has exceeded the last date within the specified period. The

  Further, in the series of processing from step S902 to step S908, the first monitoring data item of the item numbers (for example, NO = 1 in FIG. 4 to NO = 68 in FIG. 7) is first read out. Is designated (step S902). Thereafter, while the item number of the monitoring data is incremented by 1 in step S907, until it is determined in step S908 that the item number of the monitoring data exceeds the last item number of the designated monitoring data item being read. The following series of processing from step S903 to S906 is repeatedly executed.

  In the series of processing from step S903 to S906, first, the shared monitoring data read in step S802 of FIG. 8 corresponding to the designated date and the designated item is set as a guide value (step S903). .

Next, the individual monitoring data read in step S801 of FIG. 8 corresponding to the designated date and the designated item is set to the actual value (step S904).
Next, the determination value is calculated by comparing the guide value set in step S903 corresponding to the specified date and the specified item with the actual value set in step S904 ( Step S905). This determination value is, for example, the achievement rate (percentage) of the actual value with respect to the guide value or a value obtained by multiplying the guide value by a certain coefficient (for example, 0.8).

  Then, the determination date corresponding to the specified date calculated in step S905 and the determination value corresponding to the specified item is determined (step S906). This determination symbol is a symbol such as ◯, Δ, ×, etc. according to the achievement rate, or a symbol such as an upward arrow if the actual value exceeds the guide value, and a downward arrow if the actual value is lower.

  By executing the above-described series of processing from step S903 to S906 for all items of monitoring data (repeated processing by steps S907 and S908) and all dates (repeated processing by steps S909 and S910), Daily determination data corresponding to all the specified dates and all the monitoring data items is generated. Finally, when the determination in step S910 is YES, the daily unit determination data creation process in step S803 of FIG. 8 shown in the flowchart of FIG. 9 ends.

  FIG. 10 is a diagram illustrating an example of the daily determination data created by the above-described daily determination data creation processing. This data is judgment data for one day designated by “year / month / day”, and a guide value, actual value, and judgment value (symbol and percentage value) may be calculated for each item of monitoring data. Recognize.

FIG. 11 is a flowchart showing a detailed example of the weekly determination data creation processing in step S804 of FIG.
First, the first week within a period designated by an individual user is designated (step S1101). Thereafter, while the week is incremented by one week in step S1109, the following steps S1102 to S1108 are repeatedly executed until it is determined in step S1110 that the week has exceeded the last week in the designated period. The

  Further, in the series of processing from step S1102 to S1108, the first monitoring data item among the item numbers (for example, NO = 1 in FIG. 4 to NO = 68 in FIG. 7) of the monitoring data items that are read out first. Is designated (step S1102). Thereafter, while the item number of the monitoring data is incremented by 1 in step S1107, until it is determined in step S1108 that the item number of the monitoring data exceeds the last item number of the designated monitoring data item being read. The following series of processing from step S1103 to S1106 is repeatedly executed.

  In the series of processing from step S1103 to S1106, first, the average value of the shared monitoring data read in step S802 in FIG. 8 corresponding to the designated items of all dates within the designated week is calculated. The average value is set as a guide value corresponding to the designated week and the designated item (step S1103).

  Next, the average value of the individual monitoring data read in step S801 of FIG. 8 corresponding to the specified items of all dates within the specified week is calculated, and the average value is specified for the week. And the actual value corresponding to the designated item is set (step S1104).

  Next, the determination value is calculated by comparing the guide value set in step S1103 corresponding to the specified week and the specified item with the actual value set in step S1104 ( Step S1105). The determination value is, for example, the achievement rate (percentage) of the actual value with respect to the guide value or a value obtained by multiplying the guide value by a certain coefficient (for example, 0.8) as in the case of FIG.

  Then, a determination symbol corresponding to the specified week calculated in step S1105 and the determination value corresponding to the specified item is determined (step S1106). As in the case of FIG. 9, this determination symbol is a symbol such as ◯, Δ, or X corresponding to the achievement rate, or a symbol such as an upward arrow if the actual value exceeds the guide value, or a downward arrow if the actual value is lower.

  By executing the above-described series of processing from step S1103 to S1106 for all items of monitoring data (repeated processing by steps S1107 and S1108) and all weeks (repeated processing by steps S1109 and S1110), Weekly determination data corresponding to all designated week and all monitoring data items is generated. Finally, when the determination in step S1110 is YES, the weekly determination data creation process in step S804 of FIG. 8 shown in the flowchart of FIG. 11 ends.

  FIG. 12 is a diagram illustrating an example of weekly determination data created by the above-described weekly determination data creation process. This data is judgment data for one week specified by “Year △ Month □ Day of Week”. For each item of monitoring data, guide value, actual value, and judgment value (symbol and percentage value) It can be seen that is calculated.

FIG. 13 is a flowchart showing a detailed example of the monthly unit determination data creation processing in step S805 of FIG.
First, the first month within a period designated by an individual user is designated (step S1301). Thereafter, the following steps S1302 to S1308 are repeatedly executed until it is determined in step S1309 that the month has been incremented by one month, and in step S1310 it is determined that the month has exceeded the last month within the specified period. The

  Furthermore, in the series of processing from step S1302 to S1308, the first monitoring data item of the item numbers (for example, NO = 1 in FIG. 4 to NO = 68 in FIG. 7) is first read out. Is designated (step S1302). Thereafter, while the item number of the monitoring data is incremented by 1 in step S1307, until it is determined in step S1308 that the item number of the monitoring data exceeds the last item number of the designated monitoring data item being read. The following series of processing from step S1303 to S1306 is repeatedly executed.

  In the series of processing from step S1303 to S1306, first, the average value of the shared monitoring data read in step S802 in FIG. 8 corresponding to the designated items of all dates within the designated month is calculated. The average value is set to the specified month and the guide value corresponding to the specified item (step S1303).

  Next, the average value of the individual monitoring data read in step S801 in FIG. 8 corresponding to the specified item of all dates within the specified month is calculated, and the average value is specified in the month. And the actual value corresponding to the designated item is set (step S1304).

  Next, the determination value is calculated by comparing the guide value set in step S1303 corresponding to the specified month and the specified item with the actual value set in step S1304 ( Step S1305). This determination value is, for example, the achievement rate (percentage) of the actual value with respect to the guide value or a value obtained by multiplying the guide value by a certain coefficient (for example, 0.8) as in the case of FIG.

  Then, a determination symbol corresponding to the specified month calculated in step S1305 and the determination value corresponding to the specified item is determined (step S1306). As in the case of FIG. 9 and the like, this determination symbol is a symbol such as ◯, Δ, ×, etc. according to the achievement rate, or a symbol such as an upward arrow if the actual value exceeds the guide value, or a downward arrow if the actual value is lower. .

  By executing the above-described series of processing from step S1303 to S1306 for all items of monitoring data (repeated processing by steps S1307 and S1308) and all months (repeated processing by steps S1309 and S1310), Monthly determination data corresponding to all designated months and all monitoring data items is generated. Finally, when the determination in step S1310 is YES, the monthly unit determination data creation process in step S805 of FIG. 8 shown in the flowchart of FIG. 13 ends.

  FIG. 14 is a diagram illustrating an example of the monthly unit determination data created by the above-described monthly unit determination data creation process. This data is one month's worth of judgment data specified by “○ year □ month”, and guide values, actual values, and judgment values (symbols and percentage values) are calculated for each item of monitoring data. I understand.

FIG. 15 is a flowchart showing a detailed example of the season unit determination data creation processing in step S806 of FIG.
First, a first season within a period specified by an individual user is specified (step S1501). Thereafter, while the season is incremented by one season at step S1509, a series of processes of the following steps S1502 to S1508 are repeatedly executed until it is determined at step S1510 that the season has exceeded the last season within the designated period. The In addition, as the season, for example, according to the plant growth of “seeding date / seedling purchase date”, “planting date”, “flowering date”, “fruit setting date”, “harvest start date”, and “harvest completion date”. Specified season.

  Furthermore, in the series of processing from step S1502 to S1508, the first monitoring data item of the item numbers (for example, NO = 1 in FIG. 4 to NO = 68 in FIG. 7) is first read out. Is designated (step S1502). Thereafter, while the item number of the monitoring data is incremented by 1 in step S1507, until it is determined in step S1508 that the item number of the monitoring data exceeds the last item number of the designated monitoring data item being read. The following series of processing from step S1503 to S1506 is repeatedly executed.

  In the series of processing from step S1503 to S1506, first, the average value of the shared monitoring data read in step S802 in FIG. 8 corresponding to the designated items of all dates in the designated season is calculated. The average value is set to the guide value corresponding to the designated season and the designated item (step S1503).

  Next, the average value of the individual monitoring data read in step S801 in FIG. 8 corresponding to the specified items of all dates in the specified season is calculated, and the average value is specified for the season. And the actual value corresponding to the designated item is set (step S1504).

  Next, the determination value is calculated by comparing the guide value set in step S1503 corresponding to the specified season and the specified item with the actual value set in step S1504 ( Step S1505). The determination value is, for example, the achievement rate (percentage) of the actual value with respect to the guide value or a value obtained by multiplying the guide value by a certain coefficient (for example, 0.8) as in the case of FIG.

  Then, a determination symbol corresponding to the specified season calculated in step S1505 and the determination value corresponding to the specified item is determined (step S1506). As in the case of FIG. 9, this determination symbol is a symbol such as ◯, Δ, or X corresponding to the achievement rate, or a symbol such as an upward arrow if the actual value exceeds the guide value, or a downward arrow if the actual value is lower.

  By executing the series of processes from step S1503 to S1506 for all items of monitoring data (repeated process by steps S1507 and S1508) and all seasons (repeated process by steps S1509 and S1510), Season unit determination data corresponding to all designated seasons and all items of monitoring data is generated. Finally, when the determination in step S1510 is YES, the season unit determination data creation process in step S806 of FIG. 8 shown in the flowchart of FIG. 15 ends.

  FIG. 16 is a diagram illustrating an example of season unit determination data created by the above-described season unit determination data creation process. This data is judgment data for one season designated by “stage”, and it is understood that a guide value, an actual value, and a judgment value (a symbol and a percentage value) are calculated for each item of monitoring data.

  Returning to the description of FIG. 8, when determination data for each day, week, month, and season is created by a series of processes in steps S803 to S806, it is expressed by various graphs and tabulation tables based on the data. A determination sheet is generated (step S807).

  Then, the display data of the determination sheet generated in step S807 is transmitted from the center server 101 to the terminal device 109 (see FIG. 1) via the Internet communication unit 203 (see FIG. 2). When the program of the determination sheet display unit 304 (FIG. 3) of the terminal device 109 receives the display data of the determination sheet, the program displays the determination sheet on the display.

  17 is a display example of a determination sheet, FIG. 18 is a detailed example of the overall comparison graph and the sensor comparison graph in the display example of FIG. 17, and FIG. 19 is a growth record, harvest record, irrigation record in the display example of FIG. It is a figure which shows the detailed example of determination.

  First, in the area 1701, for example, a plurality of line graphs of the above-described determination values for a plurality of predetermined monitoring data items for 52 weeks, for example, are provided so that the evaluation of the growth process of individual users' plants can be seen at a glance. Understandable. In addition to this, in this area, for example, for each season, evaluation results calculated by a predetermined method are indicated by symbols such as ◯, Δ, ×, etc., and the growth of plants corresponding to individual users in each season is appropriate. It is possible to visually determine whether or not. Note that the numerical values such as “40” displayed in the boxes enclosed by the squares in each part of FIG. 17 are the average values of the determination values of the respective items, and the score is displayed as a percentage. In addition, the evaluation of “B” displayed in the box surrounded by the square in the “determination” portion of FIG. 17 is the 52-week comparison, the growth balance comparison, the harvest performance comparison, the growth performance comparison, the irrigation in the determination sheet. The result comparison and sensor comparison are aggregated and displayed as the overall determination result. For example, the evaluation is determined based on the aggregation result from S, A, B, and C.

  In the area 1702, a balance sheet of individual users when compared with Meister is displayed as a graph. This balance sheet is a chronological representation of the relationship between the reproduction and growth of Meister and individual users, such as the diameter of the stem and the height of the inflorescence for each season. The user can visually determine the difference from the obtained “target”.

  Further, by (a) overall comparison graph and (b) sensor comparison graph shown in FIG. 18, it is determined which part of the facility an individual user should improve control of the control device corresponding to which sensor item. It becomes possible to judge visually. The graph shown in FIG. 18 is the same as the graph shown in FIG.

  In addition, it is possible to confirm items to be improved specifically from the tables of growth results, harvest results, irrigation results, and determination shown in FIG. The table shown in FIG. 19 is the same as the table shown in FIG. 17, although it differs depending on the values and the presence or absence of values.

  By the display operation of the above judgment sheet, it becomes possible to visualize differences and problems by comparing the sensor output and control device sequence of each individual user with the sensor output and control device sequence of Meister. It becomes possible to efficiently manage the state of the house 103 which is a farm field.

This determination sheet can be stored as a printed matter using the printing function of the terminal device 109, and “visualization of the farm field” by numerical values is facilitated.
Furthermore, without sharing enormous detailed data, it becomes possible to confirm the difference between finding problems and own farming know-how based on numerical values when shared by accumulating aggregated results. .

  In addition to the determination sheet, the determination data for the day, week, month, and season illustrated in FIGS. 10, 12, 14, and 16 is transmitted to the terminal device 109 and displayed on the display. It may be.

  The determination data and the determination sheet described above are generated by the function of the determination sheet generation unit 206 of the center server 101, but the present invention is not limited to this. The growth state monitoring data, the shared sensor monitoring data, and the shared growth state monitoring data are downloaded together, and the spreadsheet programs built in the terminal device 109 are shown in FIG. 8, FIG. 9, FIG. 11, FIG. Data creation and the determination sheet shown in FIG. 17 may be displayed.

FIG. 20 is a configuration diagram of a hardware system capable of realizing the system of the data center 100 shown in the block diagram of FIG. 2 according to the present embodiment.
20 includes a CPU 2001, a memory 2002, an input device 2003, an output device 2004, an external storage device 2005, a portable recording medium drive device 2006 into which a portable recording medium 2009 is inserted, and a communication interface 2007. These are connected to each other by a bus 2008. The configuration shown in the figure is an example of a computer that can implement the above system, and such a computer is not limited to this configuration.

  The CPU 2001 controls the entire computer. The memory 2002 is a memory such as a RAM that temporarily stores a program or data stored in the external storage device 2005 (or portable recording medium 2009) when executing a program, updating data, or the like. The CPU 2001 performs overall control by reading the program into the memory 2002 and executing it.

  The input / output device 2003 detects an input operation by a user using a keyboard, a mouse, or the like, notifies the CPU 2001 of the detection result, and outputs data sent under the control of the CPU 2001 to a display device or a printing device.

The external storage device 2005 is, for example, a hard disk storage device. Mainly used for storing various data and programs.
The portable recording medium driving device 2006 accommodates a portable recording medium 2009 such as an optical disk, SDRAM, or compact flash, and has an auxiliary role for the external storage device 2005.

  The communication interface 2007 is a device for connecting, for example, a LAN (local area network) or WAN (wide area network) communication line. These networks correspond to the mobile phone line 113, the Internet 114, the Internet, or the leased line network 115 of FIG.

  The system according to the present embodiment is realized by the CPU 2001 executing a program having functions realized by the block diagram of FIG. 2 and the flowcharts of FIGS. 8, 9, 11, 13, and 15. . The program may be distributed by being recorded in, for example, the external storage device 2005 or the portable recording medium 2009, or may be acquired from the network by the communication interface 2007.

  According to the embodiment described above, the state of growth in the growth of the plant cultivated by the user can be managed in association with the control of the agricultural equipment, and further between the user's own growing environment and other growing environments such as Meister It is possible to provide a judgment sheet that can be used for accurate comparison. By examining the judgment sheet, the control sequence in the other training environment such as Meister is optimal for the control sequence of the user's own control device. Can be imported.

  That is, PDCA management (P = difference difference, D = difference comparison, C = constriction of improvement points, A = determination of improvement policy), which has been difficult in the agricultural cultivation environment, can be facilitated. Comparison of professional farmers with new cultivation experience and new farmers, yield expansion and stabilization of quality in a short period, short-term realization of professional quality, etc. are achieved. In addition, in-field control devices (skylights and side windows) for controlling temperature, humidity, CO2, illuminance, ground temperature, soil moisture, and saturation values in order to approximate the air quality concentration and environment / plant state of a professional field environment.・ Automatic control of curtains, heaters, air conditioners, humidifiers, dehumidifiers, mists, circulating fans, etc.) is achieved, and energy costs can be evaluated.

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 107 House-Kaonki 108 Control apparatus 109 Terminal apparatus 110 Camera 111 Microphone 113 Mobile phone line 114 Internet 115 Internet / private line network 201 Sensor monitoring data receiving part 202 Control apparatus sequence transmission part 203 Internet communication Unit 204 growth state monitoring data generation unit 205 harvest / revenue data reception unit 206 judgment sheet generation unit 207 control device sequence transfer unit 208 control device sequence download unit 209 control device sequence upload unit 210 individual monitoring data storage unit 211 individual control device sequence storage Unit 212 Shared monitoring data storage unit 213 Shared control device sequence storage unit 301 Growth state recording unit 302 House Kaonki Broadcast display unit 303 environmental sensor information display unit 304 determining seat display unit 305 controlled device sequence transfer instruction section 306 controlled device sequence Editorial

Claims (6)

An individual monitoring data storage unit that stores individual sensor monitoring data corresponding to an output from a sensor that monitors the state of the environment in the growth of a plant by an individual user, and individual growth state monitoring data that monitors the growth state;
An individual control device sequence storage unit for storing an individual control device sequence which is data for sequence control of a control device for operating an environmental state in plant growth by the individual user;
A shared monitoring data storage unit for storing the individual sensor monitoring data corresponding to the shared user among the individual users and the individual growth state monitoring data as shared sensor monitoring data and shared growth state monitoring data, respectively;
A shared control device sequence storage unit that stores the individual control device sequence corresponding to the shared user among the individual users as a shared control device sequence;
In a predetermined period unit, the individual sensor monitoring data and the shared sensor monitoring data, and the determination sheet which is table data for comparing and displaying the individual growth state data and the shared growth state data are generated, and the individual user is generated. A determination sheet generation unit to be displayed on the terminal device operated by
A growth management device comprising:   Data for recording the state of growth in plant growth by the individual user is received from a terminal device operated by the user, and the individual growth state monitoring data is generated based on the data, and the individual monitoring data storage unit The growth management apparatus according to claim 1, further comprising a growth state monitoring data generation unit that is registered in the above.   Harvesting / revenue data, which is data related to harvesting and profits obtained as a result of plant growth by the individual user, is received from an external fruit selection system and stored as part of the individual growth state monitoring data. The growth management apparatus according to claim 1, further comprising a harvest / revenue data receiving unit registered in the unit.   The growth management apparatus according to any one of claims 1 to 3, wherein the shared user is a Meister user who has good plant growth performance among the individual users. Based on the individual sensor monitoring data obtained by receiving the output from the sensor that monitors the state of the environment in the growth of the plant by the individual user, and the record of the growth state in the terminal device operated by the individual user The individual growth state monitoring data for monitoring the generated growth state is stored in the individual monitoring data storage unit,
Storing an individual control device sequence, which is data for sequence control of a control device for manipulating an environmental state in plant growth by the individual user, in an individual control device sequence storage unit;
Storing the individual sensor monitoring data corresponding to the shared user among the individual users and the individual growth state monitoring data in the shared monitoring data storage unit as shared sensor monitoring data and shared growth state monitoring data, respectively;
Storing the individual control device sequence corresponding to the shared user among the individual users as a shared control device sequence in a shared control device sequence storage unit;
In a predetermined period unit, the individual sensor monitoring data and the shared sensor monitoring data, and the determination sheet which is table data for comparing and displaying the individual growth state data and the shared growth state data are generated, and the individual user is generated. A growth management method that is displayed on a terminal device operated by. Based on the individual sensor monitoring data obtained by receiving the output from the sensor that monitors the state of the environment in the growth of the plant by the individual user, and the record of the growth state in the terminal device operated by the individual user Storing the individual growth state monitoring data for monitoring the generated growth state in the individual monitoring data storage unit;
Storing an individual control device sequence, which is data for sequence control of a control device for operating an environmental state in plant growth by the individual user, in an individual control device sequence storage unit;
Storing the individual sensor monitoring data and the individual growth state monitoring data corresponding to a shared user among the individual users in a shared monitoring data storage unit as shared sensor monitoring data and shared growth state monitoring data, respectively;
Storing the individual control device sequence corresponding to the shared user among the individual users in a shared control device sequence storage unit as a shared control device sequence;
In a predetermined period unit, the individual sensor monitoring data and the shared sensor monitoring data, and the determination sheet which is table data for comparing and displaying the individual growth state data and the shared growth state data are generated, and the individual user is generated. Displaying on the terminal device operated by
A program that causes a computer to execute.