Information processing system, information processing method, and program

Abstract

To provide an information processing system capable of supporting the forecasting of future business on the basis of the relationship between weather data and business, an information processing method, and a program.SOLUTION: In an information processing system, a weather forecast unit 61 of a weather forecasting device 3 calculates forecast values of predetermined weather data (e.g., perceived temperature index) about a predetermined period (e.g., up to 15 weeks ahead) including a seasonal transition period. A user UI control unit 52 of a server 1 performs control to display the forecast values of the predetermined weather data about a predetermined period including the seasonal transition on a user terminal 2 together with additional information related to businesses or clothing associated with the predetermined weather data. The user UI control unit also performs control to superimpose and display the measured values of the predetermined weather data about the same predetermined period on the user terminal 2 together with the forecast values of the predetermined weather data about the predetermined period including a seasonal transition period.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]

[0002] A technology has been disclosed in the past (see, for example, Patent Document 1) that predicts future water demand for a specified water pipe based on future forecasts of local weather data, such as predicted temperatures in each area for the next year. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2021-140427 Summary of the Invention [Problem to be solved by the invention]

[0004] However, there is a demand for predicting future business activities and appropriate attire based on the relationship between weather data and business, but conventional technologies, including Patent Document 1, are unable to adequately meet this demand.

[0005] The present invention has been made in consideration of the above circumstances, and aims to provide a technology that assists in predicting future business and appropriate attire based on the relationship between weather data and business. [Means for solving the problem]

[0006] In order to achieve the above object, an information processing system according to one aspect of the present invention comprises: Weather forecasting means for obtaining predicted values ​​of predetermined weather data for a predetermined period including the change of seasons Equipped with. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide a technology that assists in predicting future business and appropriate clothing, etc., based on the relationship between weather data and business. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a diagram illustrating an example of the configuration of an information processing system including a server as an embodiment of an information processing device of the present invention. [Figure 2] 2 is a block diagram showing an example of a hardware configuration of a server in the information processing system of FIG. 1. FIG. [Figure 3] 3 is a functional block diagram showing an example of a functional configuration of the server of FIG. 2. FIG. [Figure 4] 4A to 4C are diagrams showing first specific examples of screens displayed on the user terminal of FIG. 1 under display control by a server having the functional configuration of FIG. 3; [Figure 5] 1. FIG. 4 is a diagram showing a second specific example of a screen displayed on the user terminal of FIG. 1 by display control of a server having the functional configuration of FIG. [Figure 6] 1. FIG. 5 is a diagram showing a third specific example of a screen displayed on the user terminal of FIG. 1 by display control of a server having the functional configuration of FIG. [Figure 7] 1. FIG. 5 is a diagram showing a third specific example of a screen displayed on the user terminal of FIG. 1 by display control of a server having the functional configuration of FIG. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing an example of the configuration of an information processing system including a weather forecasting device as an embodiment of an information processing device of the present invention.

[0010] The information processing system shown in FIG. 1 is configured by connecting a server 1, a user terminal 2, and a weather forecasting device 3 to each other via a predetermined network such as the Internet.

[0011] The server 1 is an embodiment of an information processing device to which the present invention is applied, and executes control to acquire predicted values ​​of predetermined weather data for a predetermined period including a time when the seasons change, and to display the predicted values ​​of the predetermined weather data for the predetermined period, as well as information related to business and clothing, etc., associated with the predetermined weather data, as separate information, on the user terminal 2. The server 1 also executes control to superimpose and display the predicted values ​​of the predetermined weather data for the same predetermined period, together with the actual measured values ​​of the predetermined weather data (for example, values ​​from the previous year). Here, the term "predetermined weather data" is a broad concept that includes various types of weather data such as temperature, humidity, wind direction and speed, precipitation, snowfall, and solar radiation, as well as weather-related indicators and indices.

[0012] The user terminal 2 is a terminal managed by the user, and is configured as a smartphone, tablet terminal, personal computer, etc., and displays predicted values ​​for predetermined weather data for a predetermined period including the change of seasons. If necessary, the user terminal 2 also displays other information such as information on business or clothing related to the predetermined weather data, and actual measured values ​​of the predetermined weather data for the same predetermined period (for example, values ​​from the previous year). The method for displaying the predicted values ​​for the predetermined weather data is not particularly limited. For example, a method may be adopted in which a predetermined application software that has been installed in advance is launched and the screen of the predetermined application software is displayed while communicating with the server 1. However, in this embodiment, there is a specified website managed by the server 1 that displays graphs containing predicted values ​​for specified weather data and information related to risks or opportunities for specified businesses, and the user terminal 2 launches a specified browser, accesses the specified website, and displays pages that make up the specified website (such as pages that display graphs containing predicted values ​​for specified weather data and information related to risks or opportunities for specified businesses) within the specified browser.

[0013] The weather forecasting device 3 is an information processing device that obtains forecast values ​​of predetermined weather data for a predetermined period including a period when the seasons change.

[0014] For example, previously, publicly available long-term forecasts did not indicate when the seasons would change (when people would perceive the change in seasons), making it difficult to predict when product demand would increase. Furthermore, it was difficult to predict long-term changes in product sales and clothing based on average year-on-year temperature and precipitation figures. For this reason, there has been a demand for technology that can help predict future business activities and appropriate clothing based on the relationship between weather data and business. Such a technique is realized by applying a server 1 which is an embodiment of an information processing device to which the present invention is applied.

[0015] In other words, although long-term weather forecasts have existed up until now, there has been no knowledge of combining products and weather data, and there has been no concept of predicting future business or appropriate clothing based on the relationship between weather data and business. However, the inventors gained knowledge that combined products and weather data, and from that knowledge they were able to raise the issue of making predictions that also included product demand, that is, predicting future business and appropriate clothing, etc., based on the relationship between weather data and business. To solve this problem, the present inventors have devised a method for forecasting weather data for a predetermined period, for example, 15 weeks in advance, including the period when the seasons change. An information processing system to which this invention is applied is an information processing system to which the present invention is applied, such as the information processing system shown in FIG. Here, the predetermined period is not particularly limited as long as it includes the change of seasons, and for example, a period of four weeks ahead can be used, but a period of 15 weeks ahead is preferable. The type of predetermined weather data is also not particularly limited, but it is preferable to use the applicant's unique sensation index (sensible temperature).

[0016] For example, the weather forecasting device 3 predicts the maximum and minimum temperatures and the comfort index for the next 15 weeks on a weekly basis. The server 1 executes control to display the prediction results in a list and graph on the user terminal 2. In doing so, the server 1 can superimpose the actual values ​​of the previous year for the maximum and minimum temperatures and the comfort index for the same period, so that comparison with the previous year is also possible. Furthermore, for example, the server 1 executes control to display a list of products with sales growth and suitable clothing for each week up to 15 weeks in advance on the user terminal 2. In this case, the server 1 can display a list of the actual sales figures for the same period of the previous year for the products with sales growth and suitable clothing, so that comparison with the previous year is also possible. Furthermore, for example, the server 1 can display business opportunity comments and risk comments for up to 15 weeks in advance on the user terminal 2. Here, the opportunity comments are comments indicating the timing of business opportunities for the user based on predetermined weather data and the details of the business opportunities. The risk comments are comments indicating the timing of business risks for the user based on predetermined weather data (which may be the same as or different from the business opportunities), for example, and the details of the business risks. The period for the predicted values ​​is preferably 15 weeks in the future, but is not limited to this, and any predetermined period including the change of seasons will suffice.

[0017] In this way, it becomes possible to provide technology that assists in predicting upcoming business and appropriate attire based on the relationship between weather data and business. For example, users may find it difficult to understand how to use numerical information in their business based on weather data forecast values ​​alone (e.g., 3 degrees above average), but by providing information based on knowledge of the relationship between products and weather data, they will be able to understand not only the weather data (e.g., temperature) but also the impact on products. For example, by comparing the predicted value of the sensory index (sensible temperature) with the previous year's value (actual measured value), users can understand the progression of the seasons not only numerically but also in terms of human sensations, and can use this information appropriately for their own business, etc. Specifically, for example, the user will be able to appropriately utilize the system for his or her own business, etc., as shown in the first to third utilization examples below.

[0018] The first example of use is when the user's business is in the food and beverage, retail, or apparel industry. In the first example of use, users will be able to develop products and menus that suit the season based on long-term weather trends, including seasonal change periods.

[0019] The second use case is when the user's business is in the food and beverage, retail, apparel, or agriculture industry. In the second example of use, users will be able to maximize profits by adjusting production and shipping (production and shipping to meet increased demand) and sales (adjusting shelf preparation and discount timing) based on long-term weather trends, including seasonal change periods, and comparisons with the previous year.

[0020] The third use case is when the user's business covers all industries (any of them). In the third use case, users will be able to improve business efficiency and safety management by making operational plans that take into account long-term weather trends, including seasonal change periods.

[0021] FIG. 2 is a block diagram showing an example of a hardware configuration of a server in the information processing system shown in FIG.

[0022] The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 18 into the RAM 13 . The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0023] The CPU 11, ROM 12, and RAM 13 are connected to one another via a bus 14. An input / output interface 15 is also connected to this bus 14. An input unit 16, an output unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0024] The input unit 16 is configured with, for example, a keyboard and is used to input various information. The output unit 17 is configured with a display such as a liquid crystal display, a speaker, etc., and outputs various information as images and sounds. The storage unit 18 is configured with a DRAM (Dynamic Random Access Memory) or the like, and stores various data. The communication unit 19 communicates with other devices (for example, the user terminal 2 and the weather forecasting device 3 in FIG. 1) via a network N including the Internet.

[0025] Removable media 30, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is appropriately attached to the drive 20. A program read from the removable media 30 by the drive 20 is installed in the storage unit 18 as needed. Furthermore, the removable medium 30 can also store various data stored in the storage unit 18 in the same manner as the storage unit 18.

[0026] Although not shown, the user terminal 2 and the weather forecasting device 3 in Fig. 1 can also have basically the same hardware configuration as that shown in Fig. 2. Therefore, a description of the hardware configuration of the user terminal 2 and the weather forecasting device 3 will be omitted.

[0027] By cooperation of the various hardware and software constituting the information processing system of Figure 1, including the server 1 and weather forecasting device 3 of Figure 2, it is possible to execute processing that assists in predicting future business based on the relationship between weather data and business.

[0028] FIG. 3 is a functional block diagram showing an example of the functional configuration of the server and the weather forecasting device of FIG. 2 in the information processing system of FIG.

[0029] As shown in FIG. 3, a weather forecasting unit 61 functions in the weather forecasting device 3 (CPU 11 not shown in FIG. 3). The weather forecasting unit 61 obtains predicted values ​​of predetermined weather data (for example, a feeling index) for a predetermined period (for example, 15 weeks ahead) including the change of seasons.

[0030] As shown in FIG. 3, the CPU 11 of the server 1 functions as a weather forecast data acquisition unit 51 and a user UI control unit 52. In one area of ​​the storage unit 18, a weather forecast data DB 71 is stored.

[0031] The weather forecast data acquisition unit 51 acquires predicted values ​​of specified weather data (e.g., a feeling index) for a specified period (e.g., 15 weeks ahead) including the change of seasons from the weather forecasting device 3 and stores them in the weather forecast data DB71. The user UI control unit 52 executes control to display, on the user terminal 2, forecast values ​​of predetermined weather data for a predetermined period including a season change, as well as other information (see, for example, screens G61 to G63 in FIG. 6 ), such as information on business or clothing related to the predetermined weather data. The user UI control unit 52 further executes control to superimpose and display, on the user terminal 2, forecast values ​​of the predetermined weather data for the predetermined period including a season change, as well as actual measured values ​​of the predetermined weather data for the same predetermined period.

[0032] Next, several examples will be described as specific examples of screens displayed on the user terminal of FIG. 1 by display control of the server having the functional configuration of FIG. 4 to 7 are diagrams showing specific examples of screens displayed on the user terminal of FIG. 1 under display control by a server having the functional configuration of FIG.

[0033] Screen G4 in the example of Figure 4 displays a list of the weekly temperature readings, maximum temperatures, and minimum temperatures for a period of 15 weeks in the future. Dedicated comments are displayed in the upper frame of screen G4 in the example of Figure 4 (and other screens described below).

[0034] For example, when the temperature button and previous year button at the bottom of screen G4 in the example of Figure 4 are pressed, the predicted weekly maximum and minimum temperatures for the period 15 weeks ahead are displayed on the left, and the actual measured weekly maximum and minimum temperatures for the same period in the previous year are displayed on the right, as shown on screen G51 in the example of Figure 5.

[0035] Also, for example, when the "Feeling" button and the "Previous Year" button at the bottom of screen G4 in the example of FIG. 4 are pressed, the predicted value of the weekly feeling index for the period 15 weeks ahead is displayed on the left, and the actual measured value of the weekly feeling index for the same period in the previous year is displayed on the right, as shown on screen G52 in the example of FIG. 5.

[0036] For example, when the icon button at the bottom of screen G4 in the example of Figure 4 is pressed, additional information regarding business or clothing related to the weekly physical sensation index for the period 15 weeks ahead is displayed, as shown in screens G61 to G63 in the example of Figure 6. In the example screen G61 of Figure 6, information on products that are suitable for the predicted value of the weekly customer experience index for the period 15 weeks ahead (products that are judged to be easy to sell) is displayed on the left, and information on products that are suitable for the actual measured value of the weekly customer experience index for the same period last year (products that are judged to be easy to sell) is displayed on the right. On the screen G62 in the example of FIG. 6, information on clothing suitable for the predicted value of the weekly body temperature index for the period 15 weeks ahead is displayed on the left side. On the screen G63 in the example of FIG. 6, information on products suitable for the predicted value of the weekly feeling index for the period 15 weeks ahead (products that are judged to be easy to sell) is displayed on the left side.

[0037] For example, when the graph button at the bottom right of screen G4 in the example of Figure 4 is pressed, graphs of the weekly temperature index, maximum temperature, and minimum temperature for a period 15 weeks ahead are displayed, as shown in screens G71 and G72 in the example of Figure 7. When the graph button is pressed while the button for this year is selected on screen G4 in the example of Fig. 4, the screen transitions to screen G71 in the example of Fig. 7. On screen G71 in the example of Fig. 7, the horizontal axis is the time axis, and icons indicating predicted values ​​of the feeling index and solid line graphs indicating predicted values ​​of maximum and minimum temperatures are displayed on a weekly basis for a period 15 weeks ahead. On the other hand, when the graph button is pressed while the previous year button is selected on screen G4 in the example of Fig. 4, the screen transitions to screen G72 in the example of Fig. 7. On screen G72 in the example of Fig. 7, the horizontal axis is the time axis, and an icon indicating the predicted value of the feeling index on a weekly basis for a period 15 weeks ahead, and a dotted line graph indicating the predicted values ​​of the maximum temperature and minimum temperature, are displayed, and further, an icon indicating the previous year's actual value of the feeling index on a weekly basis for the same period in the previous year, and a dotted line graph indicating the previous year's actual values ​​of the maximum temperature and minimum temperature are superimposed.

[0038] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are considered to be included in the present invention.

[0039] For example, the hardware configuration of the server 1 shown in FIG. 2 is merely an example for achieving the object of the present invention, and is not particularly limited.

[0040] 3 is merely an example and is not particularly limited. That is, it is sufficient if the function capable of executing the above-described processing as a whole is provided, and the type of functional block used to realize this function is not particularly limited to the example in FIG.

[0041] Furthermore, the locations of the functional blocks and databases are not limited to those shown in FIG. 3 and may be arbitrary. For example, at least some of the functional blocks of the server 1 may be transferred to the user terminal 2, the weather forecasting device 3, or an information processing device (not shown). Similarly, at least some of the functional blocks of the weather forecasting device 3 may be transferred to the server 1, the user terminal 2, or an information processing device (not shown).

[0042] The above-described series of processes can be executed by hardware or software. Furthermore, one functional block may be configured as a single piece of hardware, a single piece of software, or a combination thereof.

[0043] When a series of processes is executed by software, the programs that make up the software are installed into a computer or the like from a network or a recording medium. The computer may be a computer built on dedicated hardware. The computer may also be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0044] The recording medium containing such a program may be composed not only of a removable medium (not shown) that is distributed separately from the device main body in order to provide the program to the user, but also of a recording medium that is provided to the user in a state that is pre-installed in the device main body.

[0045] In this specification, the steps describing the program to be recorded on the recording medium include not only processes that are performed in chronological order, but also processes that are not necessarily performed in chronological order but are performed in parallel or individually.

[0046] To sum up, the information processing device to which the present invention is applied is sufficient as long as it has the following configuration, and can take on a variety of different embodiments. That is, an information processing system to which the present invention is applied (for example, the information processing system of FIG. 1) is Weather forecasting means (for example, the weather forecasting unit 61 of the weather forecasting device 3 in FIG. 3) for calculating predicted values ​​of predetermined weather data for a predetermined period (for example, 15 weeks ahead) including the change of seasons It is enough to have this.

[0047] In this way, it is possible to provide a technology that assists in predicting future business activities, clothing, etc. based on the relationship between weather data and business.

[0048] A display control means (for example, the user UI control unit 52 of the server 1 in FIG. 3) that executes control to display other information related to the predetermined weather data (for example, screens G61 to G63 in FIG. 6) together with the forecast value of the predetermined weather data for the predetermined period. The sensor may further include:

[0049] The display control means further executes control to superimpose and display the predicted values ​​of the predetermined weather data for the same predetermined period together with the actual measured values ​​of the predetermined weather data for the same predetermined period (for example, control to display the screen G61 of FIG. 6 or the screen G72 of FIG. 7). It can be done like this.

[0050] The predetermined period is four weeks or more in the future. It can be done like this.

[0051] The predetermined weather data includes data on a body temperature index. It can be done like this. [Explanation of symbols]

[0052] 1. Server, 2. User terminal, 3. Weather forecasting device, 11. CPU, 12. ROM, 13. RAM, 14. Bus, 15. Input / output interface, 16. Input section, 17. Output section, 18. Storage section, 19. Communication section, 20. Drive, 30. Removable media, 51. Weather forecast data acquisition section, 52. User UI control section, 61. Weather forecast section, 71. Weather forecast data DB

Claims

1. Weather forecasting means for obtaining predicted values ​​of predetermined weather data for a predetermined period including the change of seasons An information processing system comprising:

2. a display control means for controlling the display of other information related to the predetermined weather data together with the predicted value of the predetermined weather data for the predetermined period; The information processing system according to claim 1 , further comprising:

3. the display control means further executes control to superimpose and display the predicted values ​​of the predetermined weather data for the same predetermined period together with the actual measured values ​​of the predetermined weather data for the same predetermined period. The information processing system according to claim 2 .

4. The predetermined period is four weeks or more in the future. The information processing system according to claim 1 .

5. The predetermined weather data includes data on a body temperature index. The information processing system according to claim 1 .

6. An information processing method executed by an information processing system, A weather forecasting step for obtaining forecast values ​​of predetermined weather data for a predetermined period including a season change period. An information processing method including:

7. On the computer, A weather forecasting step for obtaining forecast values ​​of predetermined weather data for a predetermined period including a season change period. A program that executes control processing including:

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