JP2021136904A - Information display device, display method of information display device and program - Google Patents

Abstract

To easily identify a result of investigation related to an element which is deeply associated with a factor when an important event occurs in transition of a crop growth state, from investigations related to elements which may affect the growth state of the crop.SOLUTION: An information display device comprises: display means for displaying a first time series graphic chart indicating a crop growth state; first narrowing down means for narrowing down investigations related to elements which may affect the crop growth state, to investigations based on input time information; and second narrowing down means for narrowing down the investigations related to elements which may affect the crop growth state, to investigations based on observation data of the investigation narrowed down by the first narrowing down means, the display means displays a second time series graphic chart indicating observation data of the investigations narrowed down by the second narrowing down means.SELECTED DRAWING: Figure 7

Description

The present invention relates to an information display device, a display method and a program of the information display device.

In the agricultural field, the condition of crops such as maturity, predicted yield, and degree of damage from pests is continuously investigated over a certain period of time, and the survey results are visualized as a time-series graph to produce crops. I know the condition. In addition, when a large change in the state of crops (hereinafter referred to as a serious event) is observed on the time series graph, different types of time series graphs are compared with each other to find the cause.

In particular, in a time-series graph (hereinafter referred to as a growth state graph) showing the growth state of a crop such as maturity and predicted yield, a large increase or decrease in maturity and predicted yield may be observed at a certain time. In that case, the growth state graph is compared with the time-series graph showing the pest survey (hereinafter referred to as the pest survey graph), and the pest survey graph that seems to be the cause is searched for. However, there are many types of pest surveys handled in the field, and it is troublesome to compare the growth status graph with the pest survey graph one by one.

In Patent Document 1, the time-series graph of the power consumption up to the prediction time on the day to be predicted is input, and the time-series data used for the power demand forecast is selected from the time-series graph of the past power consumption. ..

JP-A-2017-153259

However, in the prior art, comparisons are made using the attributes of the time-series data itself, such as the distance between the time-series data and the tendency of transition, and the time-series data is selected in consideration of the survey results that compose the time-series data. It's difficult to do.

An object of the present invention is to facilitate the results of a survey on factors that are closely related to the cause when a serious event occurs in the transition of the crop growth status from among the surveys on factors that may affect the growth status of the crop. To be able to identify to.

The information display device of the present invention uses the input time information from the display means for displaying the first time-series graph showing the growth state of the crop and the investigation on the factors that may affect the growth state of the crop. From the first narrowing means for narrowing down to the based survey and the survey on the factors that may affect the growth state of the crop, the first narrowing down to the survey based on the observation data of the survey narrowed down by the first narrowing means. It has two narrowing means, and the display means displays a second time-series graph showing observation data of the survey narrowed down by the second narrowing means.

According to the present invention, among the investigations on the factors that may affect the growth condition of the crop, when a serious event occurs in the transition of the growth condition of the crop, the result of the investigation on the factors closely related to the cause is obtained. It can be easily identified.

It is a figure which shows the hardware configuration example of an information display device. It is a figure which shows the screen example. It is a block diagram which shows the functional configuration example of an information display device. It is a figure which shows the appearance of visualizing observation data on a map. It is a figure which shows the table which stores a task and observation data. It is a flowchart which shows the time series graph generation processing. It is a flowchart which shows the display method of the information display device. It is a flowchart which shows the 2nd task narrowing process. It is a flowchart which shows the 2nd task narrowing process.

Hereinafter, embodiments will be described in detail with reference to the drawings. The following embodiments do not limit the invention according to the claims. Although a plurality of features are described in the embodiment, not all of the plurality of features are essential to the invention, and the plurality of features may be arbitrarily combined. In the embodiment, a work of displaying a pest survey graph that is considered to be closely related to a serious event by inputting a time when a serious event occurs in the growth state graph will be described as an example.

(First Embodiment)
FIG. 1 is a diagram showing a hardware configuration example of the information display device 100 according to the first embodiment. The information display device 100 includes a CPU 101, a ROM 102, a RAM 103, an HDD 104, a display unit 105, an operation unit 106, and a communication unit 107.

The CPU 101 is a central processing unit that performs arithmetic operations, logical determinations, and the like for various processes, and controls each component connected to the system bus 108. The ROM (Read-Only Memory) 102 is a program memory, and stores a program for control by the CPU 101 including various processing procedures described later. The RAM (Random Access Memory) 103 is used as a main memory of the CPU 101 and a temporary storage area such as a work area. The program memory may be realized by the CPU 101 loading the program into the RAM 103 from an external storage device or the like connected to the information display device 100.

The HDD 104 is a hard disk for storing electronic data and programs. The information display device 100 may use an external storage device as a device that plays a role similar to that of the HDD 104. Here, the external storage device can be realized by, for example, a medium (recording medium) and an external storage drive for realizing access to the media. Examples of such media include a flexible disk (FD), a CD-ROM, a DVD, a USB memory, an MO, a flash memory, and the like. Further, the external storage device may be a server device or the like connected by a network.

The display unit 105 is, for example, a CRT display, a liquid crystal display, or the like, and is a device for displaying an image on a display screen. The display unit 105 may be an external device connected to the information display device 100 by wire or wirelessly. The operation unit 106 has a keyboard and a mouse, and accepts various operations by the user. The communication unit 107 performs bidirectional communication by wire or wireless with other information processing devices, communication devices, external storage devices, and the like.

FIG. 2 is a diagram illustrating a screen of the information display device 100. The display area 201 is a display area for displaying the growth state graph 202. The growth state graph 202 is a time series graph showing the growth state of the crop. The growth state graph 202 shows, as an example, a time-series graph showing a crop yield prediction survey. The drop-down list 203 is a drop-down list for switching the growth state graph 202. When the yield prediction showing the growth state graph 202 is selected in the drop-down list 203, the growth state graph 202 of the selected yield prediction is displayed in the display area 201. When the number of types of the growth state graph 202 is small, the growth state graph 202 of different types may be displayed side by side on one screen instead of being switched and displayed. At this time, the growth state graphs 202 are arranged vertically so that they can be compared on the time axis.

The display area 204 is a display area for displaying the pest survey graph 205. The pest survey graph 205 is a time-series graph showing observation data of the pest survey. Pest surveys are an example of surveys on factors that can affect the growth of crops. The drop-down list 206 is a drop-down list for switching the pest investigation graph 205. When the type of pest survey graph 205 is selected in the drop-down list 206, the pest survey graph 205 of the selected type is displayed in the display area 204. The vertical axis 207 is the vertical axis of the time series graph. The horizontal axis 208 is the horizontal axis of the time series graph. The data element 209 is a data element of the time series graph.

As will be described later with reference to FIG. 6, the data element 209 has reference information to the task generated from the task and the generation source. Here, the task represents a survey of crops, and is data including, for example, a task category representing a survey field, a task type representing a survey type, a task name representing a survey content, and a survey implementation date. In crop surveys, multiple observations are performed, which is expressed by associating and recording multiple observation data for a task. Here, the observation data is data including, for example, an observation position representing the coordinate information at which the observation was performed, an observation type representing the type of observation, and an observation value representing the state of the crop. However, the observation data is not limited to this example, and various modifications are possible. For example, the observation data may further include an observation date and time. Map 210 is displayed. Map 210 has compartment 211. Section 211 is a section where crops are cultivated.

FIG. 3 is a block diagram showing a functional configuration example of the information display device 100. The information display device 100 includes a management unit 301, a time information input unit 302, a first task narrowing unit 303, an observation data selection unit 304, a second task narrowing unit 305, and a graph display unit 306. Has. These functional components are realized by the CPU 101 expanding the program stored in the ROM 102 into the RAM 103 and executing the processing program of each flowchart described later. Then, the CPU 101 holds the execution result of each process in the RAM 103. Further, for example, when hardware is configured as an alternative to software processing using the CPU 101, a calculation unit or a circuit corresponding to the processing of each functional component described here may be configured.

The management unit 301 holds and manages tasks and observation data in the HDD 104. The time information input unit 302 receives input of time information from the user. To input the time information, the user specifies the data element 209 of the growth state graph 202 via the operation unit 106. As will be described later with reference to FIG. 6, since the data element 209 includes the task execution date and the task representative value, the task execution date may be acquired from the designated data element 209. Further, the time information input unit 302 may prepare an input form for inputting the time information on the screen illustrated in FIG. 2 and accept the user's input.

The first task narrowing unit 303 acquires tasks from the management unit 301, and narrows down the acquired tasks based on the time information input by the time information input unit 302. The details will be described later with reference to FIG.

The observation data selection unit 304 visualizes the observation data included in each task on the map 210 for the tasks narrowed down by the first task narrowing unit 303, and accepts the observation data selection operation. In order to visualize the observation data on the map 210, a predetermined marker is displayed at the coordinates on the map 210 corresponding to the observation position of the observation data. Further, the observation data selection unit 304 may change the drawing method of the marker based on the observation type and the observation value of the observation data. For example, the observation data selection unit 304 determines the shape of the marker based on the observation type 514 of the observation data in FIG. 5 (b). Further, the observation data selection unit 304 changes the color or size of the marker based on the magnitude of the observation value 515 of the observation data in FIG. 5 (b).

FIG. 4 is a diagram showing a state in which the observation data 401 is visualized on the section 211 of the map 210. The observation data 401 is observation data visualized on the map 210. The user selects the observation data 401 visualized on the map 210 by an operation such as clicking via the operation unit 106.

The second task narrowing unit 305 narrows down the tasks narrowed down by the first task narrowing unit 303 based on the observation data 401 selected by the observation data selection unit 304. The details will be described later in FIG.

The graph display unit 306 generates a time series graph from a plurality of tasks having the same task type and displays it in the display area 201 or 204. The details of the time series graph generation process will be described later with reference to FIG. The time series graph is represented by a line graph, but other representation methods such as a bar graph may be used.

FIG. 5A is a diagram illustrating a task table 500 used by the management unit 301 to manage tasks. The task table 500 has an ID 501, a task category 502, a task type 503, a task name 504, and an execution date 505. An ID for uniquely identifying the task stored in the task table 500 is described in the ID 501. The task type is described in the task category 502. In the task category 502, for example, a value indicating "growth state survey" or "pest survey" is stored. The task type 503 is a survey type. The task type 503 describes the type of pest survey when the task category 502 is "pest survey". In the task type 503, for example, a value indicating "powdery mildew survey" or "Gray mold disease survey" is stored. The task name is described in the task name 504. The implementation date of the task is described in the implementation date 505. In the drop-down list 206 of FIG. 2, the task type 503 can be selected.

FIG. 5B is a diagram illustrating an observation data table 510 used by the management unit 301 to manage the observation data. The observation data table 510 has an ID 511, a task ID 512, an observation position 513, an observation type 514, and an observation value 515. That is, each of the observation data has an ID 511, a task ID 512, an observation position 513, an observation type 514, and an observation value 515. An ID for uniquely identifying the observation data stored in the observation data table 510 is described in the ID 511. The task ID of the task related to the observation data is described in the task ID 512. At the observation position 513, the coordinate information from which the observation data has been acquired is described. The observation type 514 describes the observation type of the observation data. The observation value 515 describes the observation value of the observation data.

In this embodiment, the user conducts a survey before the process described later with reference to FIG. 7 is performed, and the information related to the survey is stored in the task table 500 and the observation data table 510. And.

FIG. 6 is a flowchart illustrating a flow of a time series graph generation process carried out by the information display device 100 according to the present embodiment. Hereinafter, each step (step) will be described by adding S at the beginning of the reference numerals. In S601, the graph display unit 306 sorts the tasks in the task table 500 of FIG. 5A in ascending order of the execution date 505. In S602, the graph display unit 306 repeats S603 as many times as the number of tasks. In S603, the graph display unit 306 generates the data element 209 of the time series graph from the task based on the observation data table 510 of FIG. 5 (b). Here, the data element 209 of the time series graph is a data structure composed of the task execution date 505 and the representative value of the task. As the representative value of the task, statistical values such as the average and the maximum value of the observation values 515 of the observation data included in the task are used. In order to acquire the observation value 515 of the observation data included in the task, the observation value 515 of the observation data having the task ID 512 matching the task ID 501 is acquired from the observation data table 510.

FIG. 7 is a flowchart illustrating a flow of a display method of the information display device 100 according to the present embodiment. Hereinafter, the processes shown in the flowchart are realized by the CPU 101 of FIG. 1 executing the program. Before the process shown in the flowchart starts, the graph display unit 306 displays the growth state graph 202 in the display area 201. When the graph display unit 306 displays the time series graph related to the yield prediction in the display area 201, the graph display unit 306 acquires the task related to the yield prediction from the task managed by the management unit 301. Specifically, the graph display unit 306 acquires a task whose task category 502 is "growth state survey" from the task table 500. Then, the graph display unit 306 narrows down the tasks whose task category 502 is "growth state survey" to the tasks whose task type 503 is "yield prediction survey", and performs the processing of FIG. 6 for the narrowed down tasks. Run.

In S701, the time information input unit 302 receives input of time information from the user. For example, in the growth state graph 202 of FIG. 2, the observed value in April is small. The user inputs the time information of the date of April in order to investigate the cause of the poor growth condition in April.

In S702, the first task narrowing unit 303 acquires the task of "pest investigation" from the task of the task table 500 of FIG. 5A managed by the management unit 301. Then, from the acquired "pest investigation" task, the task is narrowed down to the "pest investigation" task based on the time information input in S701. Specifically, the first task narrowing unit 303 acquires a task whose task category 502 is "pest investigation" from the task table 500. Next, the first task narrowing unit 303 narrows down the acquired tasks to tasks whose date represented by the time information input in S701 matches the task execution date 505. The first task narrowing unit 303 may extend the time information by a predetermined width to generate period information, and may narrow down the tasks performed within the period indicated by the period information.

In S703, the observation data selection unit 304 visualizes the observation data of the task of "pest investigation" narrowed down in S702 on the map, causes the user to select the observation data, and accepts the selection result. Further, the second task narrowing unit 305 narrows down the tasks of the investigation based on the selected observation data. The details will be described later with reference to FIG.

In S704, the graph display unit 306 generates a pest survey graph 205 showing the observation data of the survey tasks narrowed down by the second task narrowing unit 305, and displays the generated pest survey graph 205 in the display area 204. do. At this time, the tasks narrowed down by the second task narrowing unit 305 have the same task type according to the user selection, and the generated time series graph is the result of the continuous investigation of the task type. It represents the transition of.

FIG. 8 is a flowchart illustrating a flow of the task narrowing process of S703 of FIG. In S801, the second task narrowing unit 305 acquires the observation data of the tasks narrowed down in S702 from the management unit 301. Specifically, the second task narrowing unit 305 acquires observation data having a task ID 512 that matches the task ID 501 narrowed down in S702 from the observation data table 510.

In S802, the observation data selection unit 304 visualizes and displays a marker indicating the observation data 401 acquired in S801 at the observation position 513 on the map 210 based on the observation position 513 of the observation data acquired in S801. The observation data selection unit 304 displays a marker indicating the observation data 401 in an embodiment based on the observation type 514 and the observation value 515 of the observation data in FIG. 5 (b). As shown in FIG. 4, the observation data selection unit 304 displays a marker indicating the observation data 401 in a form based on the observation type 514 of the observation data. Further, the observation data selection unit 304 displays a marker indicating the observation data 401 in a color or size based on the magnitude of the observation value 515 of the observation data.

In S803, the observation data selection unit 304 selects one observation data 401 from the displayed observation data 401 according to the operation of the user. For example, the user refers to the color or size of the marker of the observation data 401 and selects the observation data 401 having the larger observation value 515. The user can also refer to the values of the observation data and the spatial distribution of the observation data on the map. The larger the observation value 515 of the observation data of the pest survey, the higher the possibility that the data value of the growth state graph 202 becomes smaller.

In S804, the second task narrowing unit 305 narrows down and narrows down the tasks of the same task type 503 as the task type 503 of the observation data 401 selected in S803 from the tasks of "pest investigation". Is obtained from the management unit 301. Specifically, first, the second task narrowing unit 305 acquires a task having an ID 501 that matches the task ID 512 of the selected observation data 401 from the task table 500. Next, the second task narrowing unit 305 acquires a task having a task type 503 that matches the task type 503 of the acquired task from the task table 500.

For example, in S803, it is assumed that the observation data selection unit 304 selects the observation data whose observation type 514 is "powdery mildew" by the operation of the user. In that case, in S804, the second task narrowing unit 305 acquires a task whose task type 503 is “powdery mildew investigation”. In S704, the graph display unit 306 generates a pest survey graph 205 from the observation data of the task of “powdery mildew survey” acquired in S804, and displays the generated pest survey graph 205 in the display area 204.

When the user selects the observation data 401 of "Gray mold disease", the graph display unit 306 displays the pest investigation graph 205 of "Gray mold disease investigation" in the display area 204.

As described above, in the present embodiment, first, the first task narrowing unit 303 narrows down the tasks related to the pest investigation by the time information input by the user. Next, the second task narrowing unit 305 narrows down the tasks based on the observation data included in the tasks narrowed down by the first task narrowing unit 303. Finally, the graph display unit 306 generates a pest survey graph 205 from the tasks narrowed down by the second task narrowing unit 305, and the pest survey graph 205 can be compared with the growth state graph 202. The graph 205 is displayed in the display area 204. As a result, the information display device 100 can easily identify the type of pest survey graph that is considered to be closely related to the serious event of the growing state from among the many types of pest survey graphs.

In this embodiment, a time-series graph that seems to be closely related to a serious event of the growing condition is specified for the pest survey graph, but a time-series graph related to the survey of damage caused by the weather (hereinafter referred to as the weather). It may be referred to as a survey graph). Also in this case, it is assumed that the survey by the user is carried out before the processing of FIG. 7 is carried out, and the information regarding the survey is stored in the task table 500 and the observation data table 510. Surveys on factors that can affect the growth of crops include, for example, pest surveys or meteorological surveys.

(Second Embodiment)
The information display device 100 according to the second embodiment replaces the process of FIG. 8 with the process of FIG. As a result, the user can identify a time-series graph that seems to be closely related to a serious event of the growing condition from many pest survey graphs simply by inputting time information.

FIG. 9 is a flowchart illustrating a flow of the task narrowing process of S703 of FIG. In S901, the second task narrowing unit 305 acquires the observation data of the tasks narrowed down in S702 from the management unit 301. Specifically, the second task narrowing unit 305 acquires observation data having a task ID 512 that matches the task ID 501 narrowed down in S702 from the observation data table 510.

In S902, the second task narrowing unit 305 groups the observation data acquired in S901 into the observation data of a plurality of groups based on the observation type 514 of the observation data. For example, the second task narrowing unit 305 generates a group of observation data of “powdery mildew”, a group of observation data of “Gray mold disease”, and the like.

In S903, the second task narrowing unit 305 calculates a representative value of the observation value 515 of the observation data for each group for the group of observation data generated in S902. Specifically, the second task narrowing unit 305 normalizes the observation value O of each observation data included in the group using the following equation (1), and averages the normalized observation values On. Etc. are used as representative values. Here, O is an observed value. Omax is the maximum value of the observation value predetermined for each observation type 514. Omin is the minimum value of the observation value predetermined for each observation type 514. On is a normalized observation value.
On = (O-Omin) / (Omax-Omin) Equation (1)

The second task narrowing unit 305 may determine a representative value from the statistical value of the normalized observation value On and the number of observation data included in the group. Specifically, the second task narrowing-down unit 305 uses the product of the statistical value of the normalized observation value On and the number of observation data as the representative value of the group. Further, the second task narrowing unit 305 may multiply the statistical value of the normalized observation value On and the number of observation data by different weights.

In S904, the second task narrowing unit 305 selects one group among the plurality of groups based on the representative value of the observation value 515 of the observation data for each group calculated in S903. Specifically, the second task narrowing unit 305 selects the group having the largest representative value of the observation value 515 of the observation data for each group. Further, the second task narrowing unit 305 may select the group having the smallest representative value of the observation value 515 of the observation data for each group.

In S905, the second task narrowing unit 305 narrows down and narrows down the tasks of the same task type 503 as the task type 503 of the observation data of the group selected in S904 from the tasks of "pest survey". Acquire the task from the management unit 301. Specifically, first, the second task narrowing unit 305 acquires a task having an ID 501 that matches the task ID 512 of any observation data in the selected group. Next, the second task narrowing unit 305 acquires a task having a task type 503 that matches the task type 503 of the acquired task.

According to the first and second embodiments, the information display device 100 seems to be closely related to a serious event in the transition of the growing state of the crop from among a plurality of types of time series graphs showing the survey results of the crop. The time series graph can be easily identified.

(Other embodiments)
The present invention supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device reads and executes the program. It can also be realized by the processing to be performed. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

It should be noted that all of the above embodiments merely show specific examples for carrying out the present invention, and the technical scope of the present invention should not be construed in a limited manner by these. That is, the present invention can be implemented in various forms without departing from the technical idea or its main features.

100 Information display device, 301 Management unit, 302 Time information input unit, 303 First task narrowing unit, 304 Observation data selection unit, 305 Second task narrowing unit, 306 Graph display unit

Claims (11)

A display means for displaying a first time-series graph showing the growth state of a crop,
The first narrowing means for narrowing down the survey based on the input time information from the surveys on the factors that can affect the growth state of the crop,
It has a second narrowing means for narrowing down to a survey based on the observation data of the survey narrowed down by the first narrowing means from among the surveys on factors that can affect the growth state of the crop.
The display means is an information display device characterized by displaying a second time series graph showing observation data of a survey narrowed down by the second narrowing means. Further having a selection means for selecting one observation data according to the operation of the user from the observation data of the survey narrowed down by the first narrowing means.
The second narrowing means is characterized by narrowing down to the same survey type as the survey type of the observation data selected by the selection means from the surveys on the factors that may affect the growth state of the crop. The information display device according to claim 1. The observation data has an observation position and
The selection means observes on a map a marker indicating the observation data of the survey narrowed down by the first narrowing means based on the observation position of the observation data of the survey narrowed down by the first narrowing means. The information display device according to claim 2, wherein the information display device is displayed at a position and one observation data is selected from the displayed observation data according to a user's operation. The observation data further has an observation type and an observation value.
The information display device according to claim 3, wherein the selection means displays the marker in an embodiment based on the observation type and the observation value. The information display device according to claim 4, wherein the selection means displays the marker in a form based on the observation type and in a color or size based on the observation value. The observation data has an observation type and an observation value.
The second narrowing-down means is
Based on the observation type, the observation data of the survey narrowed down by the first narrowing means is grouped into the observation data of a plurality of groups.
One group among the plurality of groups is selected based on the representative value of the observed value of the observation data for each group.
The information display device according to claim 1, wherein the survey on factors that can affect the growth state of the crop is narrowed down to a survey of the same survey type as the survey type of the observation data of the selected group. .. The information display device according to claim 6, wherein the second narrowing-down means selects a group having the largest or smallest representative value of the observed values of the observed data for each group. The information display device according to claim 6 or 7, wherein the representative value of the observed value of the observed data for each group is an average value of the observed values of the observed data for each group. The information display device according to any one of claims 1 to 8, wherein the investigation on the factors that may affect the growth state of the crop is a pest investigation or a meteorological investigation. A first display step that displays a first time series graph showing the growth state of the crop,
The first narrowing step to narrow down the survey based on the input time information from the surveys on the factors that can affect the growth condition of the crop, and
From the surveys on factors that can affect the growth state of the crop, the second narrowing step that narrows down to the survey based on the observation data of the survey narrowed down in the first narrowing step, and
A display method of an information display device, which comprises a second display step for displaying a second time-series graph showing observation data of a survey narrowed down in the second narrowing step. A program for causing a computer to function as each means of the information display device according to any one of claims 1 to 9.

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