JP2004053520A - Cenesthetic information notification system of meteorological information - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a cenesthetic information notification system of meteorological information capable of systematically collecting a numerical value on the feeling temperature as the temperature directly felt by a user, reflecting it to prediction of information of the feeling temperature, improving accuracy of meteorological information, and squaring it with actual feeling of the user. <P>SOLUTION: This cenesthetic information notification system of the meteorological information is constituted from a meteorological information prediction processing part 11 for predicting the meteorological information of an air temperature, a humidity, or a wind based on forecast data and actual situation values delivered from an institution or a facility related to meteorology, a research part 22 for examining and collecting feeling temperatures of each user 16, a feeling temperature correction part 31 for correcting the cenesthetic temperature of the user, and an information notification part 32 for generating information aimed by the user and informing of it. <P>COPYRIGHT: (C)2004,JPO

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a sensation information notification system for weather information, and more particularly to a sensation information notification system for weather information that corrects weather information obtained based on weather prediction from the viewpoint of body sensitivity and provides information on sensible temperature to various fields.
[0002]
[Prior art]
The most common conventional weather forecast (weather forecast) is a weather forecast published by the Japan Meteorological Agency. The weather forecast is announced three times a day (morning, noon, evening) using television or radio broadcasting means. On the other hand, there are also weather forecasts issued by private weather companies. Each weather company makes weather forecasts based on forecast data provided by the Meteorological Agency and actual values distributed from the Meteorological Agency or various weather information distribution facilities (weather observatories and the like) related to weather. Each weather company performs a weather forecast at each observation point or a weather forecast at a desired observation point and its surroundings based on a predetermined forecast method. The weather forecast by each weather company is given to the user by broadcasting on a television, providing by voice over a telephone line, providing by facsimile transmission, or providing by the Internet.
[0003]
In the conventional provision of information on weather forecasts, information on the perceived temperature is also included. Generally, the information on the sensible temperature is used as a part of a weather forecast relating to the temperature. The conventional “sensible temperature” generally means a temperature directly felt by the body in consideration of humidity, sunshine, wind, and the like in addition to temperature. The conventional method of estimating the perceived temperature is a method of estimating the temperature felt by the body based on a fixed numerical value based on a combination of weather elements.
[0004]
[Problems to be solved by the invention]
The sensible temperature is actually the temperature that is directly felt by the body, and varies among individuals. The information on the perceived temperature in the conventional weather forecast is a fixed numerical prediction performed based on a predetermined calculation formula, and is merely information as a representative or general index. Therefore, the information of the sensible temperature in the conventional weather forecast does not match the actual feeling for the user.
[0005]
In view of the above problems, it is an object of the present invention to systematically collect a numerical value relating to the perceived temperature as a temperature that a user can directly feel, reflect the same in prediction of perceived temperature information, improve the accuracy of weather information, Another object of the present invention is to provide a weather information notification system for weather information, which is intended to match the actual feeling of the user.
[0006]
[Means for Solving the Problems]
The weather information notification system according to the present invention is configured as follows to achieve the above object.
[0007]
A weather information sensation information notification system according to the present invention (corresponding to claim 1) is a weather forecast system that forecasts weather information of temperature, humidity, and wind based on forecast data and actual values distributed from an organization or facility related to weather. An information prediction processing unit, a research unit that investigates and collects the sensation information, a sensation temperature correction unit that corrects the sensation temperature included in the sensation information in consideration of the user's sensibility, and information intended by the user. And an information notifying unit for notifying and generating the information. The organization related to weather is, for example, the Meteorological Agency, and the facility is a distribution facility for various information. Forecast materials include short-term rainfall forecasts and guidance provided by the Japan Meteorological Agency, and the actual values are precipitation, wind, temperature, and the like.
[0008]
In the above configuration, preferably, the research unit continuously collects and stores the bodily sensation information, and performs statistical processing to create and store the user-specific bodily sensitivity information and the region-specific bodily sensitivity information. It is characterized (corresponding to claim 2).
[0009]
In the above configuration, preferably, further comprises a company information management unit that performs a per-product sensational tendency analysis and demand / purchase prediction, and when the user is a company, the company information management unit includes It is configured to provide purchase prediction information (corresponding to claim 3). Here, the company refers to an organization that handles products such as manufacturing and sales of products, including organizations. Information on demand forecasts and purchase forecasts related to products is used in production management, purchasing management, inventory management, sales management, merchandising, supply chain management, sales promotion, product development, distribution and logistics management, etc. in a company. 4).
[0010]
In the above configuration, preferably, the weather information prediction processing unit is a weather forecasting unit that predicts a weather-related element based on the forecast data and the actual value, and corrects the weather-related element based on the terrain characteristics and the regional characteristics to obtain the temperature and humidity. , And a correction unit that creates wind weather information (corresponding to claim 5). The topographical characteristics are geographical conditions where a change in weather occurs in a plain or a mountainous region, and the regional characteristics are a temperature difference between regions.
[0011]
[Action]
In the above configuration, for example, in a weather information service system for notifying weather information via a communication means to a mobile phone compatible with the Internet, research processing for previously investigating and collecting sensory information such as the sensory temperature of the user is integrated. Then, it is possible to systematically correct the degree of the sensible temperature (the sense of the temperature directly felt by the body) by the notification of the weather information. In the processing by the research unit, the information collection is continuously performed at a predetermined timing, and the collected bodily sensation information is subjected to statistical processing to generate bodily sensitivity information for each individual user and for each region. When the user is a company or the like, information such as a demand forecast and a purchase forecast based on the experience information for each product handled by the company is provided. Information on demand forecasts and purchase forecasts related to products is used by companies for product manufacturing, purchasing management, inventory management, sales management merchandising, supply chain management, sales promotion, product management, distribution logistics management, etc. It is used for various management systems from a viewpoint.
[0012]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.
[0013]
With reference to FIGS. 1 to 3, a system for notifying the sensation information of weather information will be described. FIG. 1 shows a configuration of a representative embodiment of a weather information sensation information notification system according to the present invention, FIG. 2 shows a system configuration, and FIG. 3 shows a procedure flow in the sensation information notification system.
[0014]
1 to 3, reference numeral 10 denotes a system for notifying weather information of weather information according to the present invention. The sensation information notification system 10 for weather information is built on a weather forecast system (system for weather forecast and weather information notification) as a base.
[0015]
The sensation information notification system 10 for weather information includes a weather information prediction processing unit 11 for performing a weather forecast. The weather information prediction processing unit 11 includes a weather prediction unit 12 and a local characteristic correction unit 13. As the weather information prediction processing unit 11, for example, a weather forecast system capable of real-time weather forecast disclosed in Japanese Patent Application No. 2002-51703 filed by the present applicant is used.
[0016]
The weather information prediction processing unit 11 receives, from the weather information distribution unit 14, weather information serving as a basis for performing a weather forecast. The weather information distribution unit 14 is, for example, the Meteorological Agency or various information distribution facilities related to weather. The weather information distributed from the weather information distribution unit 14 is typically prediction data (short-time precipitation forecast, guidance, etc., distributed from the Meteorological Agency) or actual weather values (precipitation, wind, temperature, etc.). The weather information prediction processing unit 11 analyzes the weather information by using the prediction data or the actual value distributed from the weather information distribution unit 14, performs a weather forecast, and provides weather forecast information (weather forecast information) provided to the user. Create
[0017]
In the weather information prediction processing unit 11, the weather prediction unit 12 predicts elements related to weather, such as temperature, humidity, and wind. The local characteristic correction unit 13 performs a terrain correction process and a local temperature correction process. The terrain correction process is a process of correcting the prediction of an element related to weather based on terrain characteristics, that is, geographical conditions where a change in weather, such as a plain or a mountain, occurs. The regional temperature correction process is a process of correcting a prediction of an element relating to weather based on a temperature difference between regions and the like.
[0018]
A weather information database (DB) 15 is provided corresponding to the weather information prediction processing unit 11. The weather information database 15 stores actual weather values and various weather forecast information.
[0019]
A user (user) 16 who uses the weather information notification system 10 is a registered member of the weather information notification system 10 to receive the weather forecast service. The user 16 first performs a registration procedure by accessing the receiving unit 17 of the bodily sensation information notification system 10 via, for example, an Internet terminal device and an Internet communication network. The accepting unit 17 of the sensation information notification system 10 receives information transmitted by the terminal device from each of the large number of users 16.
[0020]
In the case of the present embodiment, the user 16 may be an individual or an organization such as a corporation or an arbitrary organization (organization). The user 16 who can use the sensation information notification system 10 is desirably a registered member in principle, but is not limited to this.
[0021]
In the receiving unit 17, a registration form 18 is prepared in the storage unit. The registration form 18 includes a plurality of forms. The plurality of forms included in the registration form 18 are displayed to the user at an appropriate timing and in a predetermined order. When the user 16 accesses the accepting unit 17 using a terminal device (a mobile phone or the like), a necessary registration form is transmitted to the terminal device of the user 16 and output and displayed on the display unit. You. An example of the registration form 18 is shown in FIG. The registration form 18a is a registration form displayed first and is a registration form for registering an output point. The registration form 18a is provided with a specification column 19 for registering an output point, a notification method (output method) specification column 20, and a menu selection column 21. The place of the output point is directly written in the designation field 19. As the output method in the specification column 20, mail distribution and Web site browsing are prepared.
[0022]
When the setting input of the registration form 18a is completed, the processing shifts to the registration form 18b. Here, the content of the My weather setting is displayed. That is, a registration point and an output method are displayed. When a setting command is given to the input field 18b-1 for completing the setting, the weather setting is completed.
[0023]
Next, a registration form 18c for sensation input is displayed. In the display field of the registration form 18c for inputting the sensation, information regarding the sensation of each user 16 can be input. As a place where the bodily sensation information is input, a display 18c-1 of the output point registered earlier is performed. If the place is different from the registered point when trying to input the bodily sensation information, an input for designating the place is performed via the input field 18c-2. Further, an input column 18c-3 for a plurality of items for inputting various kinds of bodily sensation information is provided at a lower portion. To register and set the designated bodily sensation information, the user operates a registration button 18c-4.
[0024]
The user 16 transmits necessary information for registration to the receiving unit 17 by performing necessary writing input or selection input in each column of the registration forms 18a, 18b, 18c. The accepting unit 17 uses the information returned from the user 16 as a research unit (collation of weather information and meteorological elements, monitoring of a request for notification of user information, collection processing of bodily sensation information for each user, and bodily sensitivity processing for each region. 22) collating and monitoring information stored in the weather information database 15. Information such as the registered position of the user 16, its notification method, and the user's body sensitivity is stored in the user information database 23. In a state where the above registration procedure is completed, the user 16 can receive a service of providing information on the bodily sensation of the weather information from the bodily sensation information notification system 10 of the weather information.
[0025]
It should be noted that the user information database 23 is further provided with a separate local body sensitivity database 23A as shown in FIG. The user information database 23 is, in principle, a database for each user, and the regional body sensitivity database 23A calculates the body sensitivity for each region by performing statistical processing on the information for each user and calculates the body sensitivity for each region. This is a regional database that stores degrees. In FIG. 3, a local body sensitivity database 23 </ b> A is separately shown for the user information database 23 in consideration of the convenience of the following description.
[0026]
With respect to the specific registration form examples 18a, 18b, 18c in the registration form 18, the display order on the user's terminal device is as shown in FIG. The collection of the sensation information of the user 16 by the sensation information notification system 10 is performed by the registration form 18c.
[0027]
The receiving unit 17 is provided in a web server 24 as shown in FIG. Further, in FIG. 3, in the sensation information notification system 10, the weather information prediction processing unit 11 is shown as a weather analysis information creation unit 25.
[0028]
The weather information prediction processing unit 11 is a system that performs a real-time weather forecast for each of a large number of preset locations (areas). Based on the weather information generated by the weather information prediction processing unit 11, necessary weather information is provided to each user according to the weather information requested by each user. The weather information is transmitted to the information receiving device 26 of the user 16. The information receiving device 26 means a portion having a receiving function of the user terminal device described above.
[0029]
The sensation information notification system 10 for weather information is typically connected to terminal devices of a large number of users 16 via an Internet communication network. Generally, as shown in FIG. 3, the means 27 for connecting the system 10 to the user 16 includes, for example, a line using a telephone line, a mobile phone line, data broadcasting, cable television communication, Television communication, intranet, personal computer communication, satellite communication, etc., which can transmit and receive information in two directions, are used. Such a connection means 27 is used for the communication 28 and the transmission 29 of the weather information in the above-described procedure of the member registration, or at that time or thereafter, collecting the physical information.
[0030]
Here, a weather forecast system that can perform weather forecast in real time will be outlined. The weather forecast system is a system that forecasts and creates weather information of each set location. The weather forecast system includes a weather information forecast notification system that performs weather forecast and weather information notification. This weather information prediction notification system is a system including the weather information prediction processing unit 11 described above and an information notification unit (32) described later. The weather forecast system is connected to the Meteorological Agency and weather-related organizations or facilities via a communication network. The weather forecast system receives forecast data from the Meteorological Agency and meteorological institutions or facilities, and data on actual values from observatories and the like.
[0031]
The weather information prediction notification system creates weather information by using externally provided forecast data data and actual value data and predicting weather information based on a unique weather prediction model. When both or one of the forecast material data and the actual value data is unreceivable, create data corresponding to the missing unreceivable data by a prediction process, use the data, and based on the weather forecast model. Predict weather information. Further, the weather information is predicted using the substitute data regardless of the forecast material data and the actual value data. This allows the weather information prediction notification system to create real-time weather information.
[0032]
Next, the contents of the forecast data and the actual value used in the weather forecast system will be described. The forecast material is material data for performing a weather forecast. Forecast materials provided by the Japan Meteorological Agency refer to predicted values of meteorological elements and physical quantities (such as vorticity and vertical velocity) obtained as a result of numerical forecasts performed based on measured values of various elements related to measured weather. This predicted value is information that predicts a transition of each weather element at that point based on numerical information of each weather element at each point. The predicted value is, for example, an analyzed rainfall, a short-time rainfall forecast, guidance, or the like that is predicted from a value obtained by analyzing weather radar observation data. The actual value is observation data of each meteorological element observed at each observation point and analysis data obtained by analyzing the observation result. The actual value is provided from an external source such as the Meteorological Agency or an organization that creates information on weather, a corporation, or an individual. For example, the actual condition value provided by the Japan Meteorological Agency is a numerical value of a meteorological element representing the present state of weather such as precipitation, wind speed, temperature, sunshine, a value observed by a meteorological satellite, or a physical quantity derived from the meteorological element. The actual values are mainly provided by the Japan Meteorological Agency observation stations as observation values of observation times at observation facilities installed at intervals of about 20 km in various parts of Japan. The actual value is used in pairs with the forecast data.
[0033]
Next, components related to the notification of the sensation information in the sensation information notification system 10 will be described. As for the notification of the sensation information, as shown in FIG. 1, a sensation temperature correction unit 31, an information notification unit 32, and the above-described research unit 22 are provided. As illustrated in FIG. 2, the sensible temperature correction unit 31 performs a process of correcting the sensible temperature of each user as the number of sensitivities and a process of correcting the sensible temperature information of each region as the number of sensitivities.
[0034]
The research unit 22 generally performs a process of monitoring a user's request for information notification and collecting user's bodily sensation information. The collection of the bodily sensation information of the user 16 is performed using the registration form 18c for inputting the bodily sensation described above. Usually, when the user 16 accesses the sensation information notification system 10 to provide a service, the sensation information is continuously collected using the registration form 18c. The collection of the information on the bodily sensation of the user 16 may be performed for each user or for each group. Such information on the bodily sensation is obtained based on the information of the selection input in the bodily sensitivity selection column 18c-3 of the registration format 18c described above. In the processing of collecting the user's bodily sensation in the research unit 22 shown in FIG. 3, processing of an information collection screen and information analysis processing are performed.
[0035]
Further, the collection of the sensation information by the research unit 22 is described in detail by collecting a questionnaire-type information from an individual user or a user of an arbitrary organization (company, organization), or periodically conducting a marketing research by monitoring or the like. It is done by implementing it continuously and continuously. The research unit 22 further performs statistical processing on the data obtained by collecting the information, obtains the number of body sensitivities for each user or for each area, and stores the number in each database. As a result, the accuracy of the number of body sensitivities for each user and the accuracy of the number of body sensitivities for each area are improved, and information can be provided to the user 16 in various forms.
[0036]
Typically, as described above, for example, as described above, when the user 16 connects to the Web server 24 with the terminal device and receives the information, the user arbitrarily specifies the mechanism for continuously collecting the bodily sensation information by the research unit 22. Along with displaying the bodily sensation information, a selection input field for the degree of the current bodily sensation (direct sensation) is shown in the same page, and the user arbitrarily registers. The selection input field is the selection input field 18c-3 shown in the registration form 18c described above. In the above case, by managing the user area (body sensitivity input comparison area) by the research unit 22, it becomes possible to collect the information on the body sensitivity at the user base including the regional characteristics or the mobile base as described above. .
[0037]
In addition, the information notifying unit 32 generally performs processing of creating notification information and notifying information. The weather information created by the information notifying unit 32 is transmitted to the user information receiving device 26 in the form of, for example, character information notification.
[0038]
In practice, the information notification by the information notification unit 32 is created in the form of information and notification desired by an individual user or an arbitrary organization (company or organization), and is transmitted to the user by using any communication or broadcasting means. Notification is given. For example, when the information providing destination is an individual, the research unit 22 performs a correction based on the body sensitivity information of the user himself / herself stored in the user information database 23 by a research process, and an individual who closely adheres to the life of the individual. Created as body sensitivity information and notified. Further, when the information providing destination is a company or the like, in the research processing of the research unit 22, correction is performed based on the regional statistical body sensitivity information stored in the regional body sensitivity database 23A, and indexes such as demand forecast and purchase forecast are performed. Created as part of and notified.
[0039]
Note that the components including the weather information prediction processing unit 11 and the sensible temperature correction unit 31 are shown as a weather analysis information creation unit 25 in FIG.
[0040]
Next, with reference to FIGS. 4 and 5, the type of the research mode and the type of the notification mode by the research unit 22 will be described.
[0041]
FIG. 4 shows a configuration of a comprehensive marketing research type and a procedure flow thereof. In FIG. 4, substantially the same elements as those described in FIGS. 1 to 3 are denoted by the same reference numerals.
[0042]
In FIG. 4, the research unit 22 includes a weather information matching unit 22a, a user-specific body sensitivity processing unit 22b, and a region-specific body sensitivity processing unit 22c. The weather information matching unit 22a checks the collected weather information, the user-specific body sensitivity processing unit 22b performs user-specific body sensitivity processing, and the region-specific body sensitivity processing unit 22c performs region-specific body sensitivity processing. Do. The research unit 22 collects information from the research target 41 (procedure P11). Here, the research target 41 includes a marketing form 41a, a monitoring 41b, an individual body sensitivity collection 41c, and a regional body sensitivity collection 41d as research forms according to the purpose. The information collection P11 is performed directly from the research target 41 to the research unit 22 or via the Web server 24. The information collected by the research unit 22 is subjected to information statistical processing here and stored in the databases 15, 23, and 23A (procedure P12). The weather analysis information creating unit 25 has the weather forecasting unit 12 and the regional characteristic correcting unit 13 described above, and further includes a user-specific body sensitivity correcting unit 31A and a regional-specific body sensitivity correcting unit 31B. In the weather analysis information creation unit 25, notification information is created based on the weather information provided from the weather information distribution unit 14 and various information provided from the databases 15, 23, and 23A (procedure P13). The notification information created by the weather analysis information creation unit 25 is provided to the individual 16A or the company / organization 16B via the Web server 24 or directly (procedure P14).
[0043]
FIG. 5 shows a configuration of a corporate marketing research type and a procedure flow thereof. In FIG. 5, elements substantially the same as the elements described in FIGS. 1 to 4 are denoted by the same reference numerals.
[0044]
In FIG. 5, the research unit 22 includes a weather information collating unit 22a, a user-specific body sensitivity processing unit 22b, and a region-specific body sensitivity processing unit 22c as described above. The research unit 22 collects information on the bodily sensation from the research target 41 (procedure P11). The research target 41 includes marketing 41a, monitoring 41b, individual body sensitivity collection 41c, and regional body sensitivity collection 41d as research forms. The information collected by the research unit 22 is subjected to information statistical processing, and is stored in each of the databases 15, 23, and 23A (procedure P12). The weather analysis information creation unit 25 includes a weather prediction unit 12, a regional characteristic correction unit 13, a user-specific body sensitivity correction unit 31A, and a region-specific body sensitivity correction unit 31B. In the weather analysis information creation unit 25, notification information is created based on the weather information provided from the weather information distribution unit 14 and various information provided from the databases 15, 23, and 23A (procedure P13). The normal information notification from the weather analysis information creation unit 25 is performed as described with reference to FIG.
[0045]
Further, a company information management unit 51 is separately provided for the weather analysis information creation unit 25. The company information management unit 51 is provided as information notification processing for companies in the information notification unit 32. The company information management unit 51 includes, as functional units, a sales promotion support unit 51a, a product-specific body sensitivity trend analysis unit 51b, a demand / purchase prediction unit 51c, and further includes a company information database 52. The product-specific body sensitivity tendency analysis unit 51b calculates the body-specific body sensitivity tendency based on statistical processing. The company information management unit 51 obtains sales data from the company / organization 16B (procedure P21) and stores it in the company information database 51. The company information management unit 51 obtains information on the body-specific sensitivity trend by region statistically obtained from the weather analysis information creation unit 25, and based on the information, the body-by-product experience tendency analysis unit 51b performs the physical experience for each product of each company. The degree tendency is analyzed, and the demand / purchase prediction section 51c creates demand prediction / purchase prediction information. The created demand forecast / purchase forecast information is stored in the company information database 52, and further provided to the company / organization 16B corresponding to each product (procedure P22). Further, the sales promotion support unit 51a provides sales support information to the individual 16A based on the personal body sensitivity tendency or the regional body sensitivity tendency (procedure P23). The information of the demand forecast and purchase forecast for the above-mentioned products is used as a part of the index in the provided company / organization 16B, and includes production management, purchase management, inventory management, sales management, sales promotion planning, merchandising. It is used as effective information for each process related to marketing, such as supply chain management, sales promotion, product development, distribution and logistics management.
[0046]
Next, a basic processing operation of each unit in the weather information sensation information notification system 10 having the above configuration will be outlined from an overall viewpoint.
[0047]
The weather forecasting unit 12 in the weather information forecasting processing unit 11 performs weather forecasting (projection of elements related to weather) at a point (or area) designated by the user based on forecast data distributed from the weather information delivering unit 14 and the actual value. )I do. This weather forecast is made, for example, up to 54 hours in advance. It is desirable that the weather prediction performed by the weather prediction unit 12 be performed in real time.
[0048]
The weather information such as forecast materials and actual values distributed from the weather information distribution unit 14 is stored in the weather information database 15. In order for the weather forecasting unit 12 to perform real-time weather forecasting, for example, past forecast data and actual values stored in the weather information database 15 are used. Further, information relating to the weather forecast created by the weather forecast unit 12 is also stored in the weather information database 15.
[0049]
The regional characteristic correction unit 13 corrects the weather prediction predicted by the weather prediction unit 12 based on the geographical conditions (topographical conditions, meteorological geographical characteristics, and the like) of the predicted point, the average temperature and the average temperature difference depending on the region. , And a prediction of the basic sensory temperature. As described above, in the weather information prediction processing unit 11, the prediction of the weather element and the prediction of the basic sensible temperature are performed in consideration of the regional characteristics by the correction.
[0050]
Next, as described above, for example, when the user 16 desires information notification, the research unit 22 inputs the user's bodily sensations (direct sensations) in the past several days on the information collection screen, and transmits the notification. This is compared with a weather element or the like on the relevant point and the relevant date, calculated as a body sensitivity number for each user or for each regional statistic, and stored in the user information database 23. The body sensitivity information is continuously and regularly collected in various modes as described above, statistical processing is performed, body sensitivity information is obtained for each user or region, and stored.
[0051]
The sensible temperature correction unit 31 calculates the basic sensible temperature prediction predicted by the local characteristic correction unit 13 of the weather information prediction processing unit 11 according to the sensitivities stored in the user information database 23 based on the research unit 22 for each user. Or, a correction according to the usage pattern is performed.
[0052]
The finally created information relating to the weather forecast is provided to the information notifying unit 32. The information notifying unit 32 creates an information / notification form desired by the user and sends it to the user information receiving device 26.
[0053]
Character information relating to weather information sent to the user information receiving device 26 is displayed on the display unit. An output example displayed on the screen of the display unit is shown in FIG. 6B or FIG. As is clear from these output examples, it is possible to notify character information in various forms as a weather forecast.
[0054]
【The invention's effect】
As apparent from the above description, the present invention has the following effects.
[0055]
In the weather forecasting system, numerical values related to the perceived temperature are systematically collected in advance as temperatures that the user can feel directly, and the perceived temperature for each user is compared with the weather forecast information created by the weather information prediction processing unit. The information can be reflected to match the actual feeling of the user, and various kinds of weather information can be notified and highly accurate weather information can be notified according to the user's request.
[0056]
Statistical processing can be performed by continuously surveying and collecting sensory temperature information, and sensory temperature information for each user and for each region can be generated and stored.
[0057]
If the user who provides the information is a product handler that manufactures and sells products such as companies, it performs demand forecasts and purchase forecasts for each product using the perceived temperature information for each user or region. Thus, useful information on these products can be provided to companies and the like.
[Brief description of the drawings]
FIG. 1 is a configuration diagram showing a representative embodiment of a weather information sensation information notification system according to the present invention.
FIG. 2 is a system configuration diagram of a sensation information notification system of weather information.
FIG. 3 is a diagram showing a flow of a procedure in the system for notifying the sensation information of weather information.
FIG. 4 is a diagram showing a configuration and a flow of a procedure of a comprehensive marketing research type weather information sensation information notification system.
FIG. 5 is a diagram illustrating a configuration and a flow of a procedure of a system for reporting a bodily sensation of weather information of a marketing research type for a company.
FIG. 6 is a diagram showing an example of a registration form and an example of output displayed on a display unit of a user terminal device.
FIG. 7 is a diagram illustrating an output example regarding bodily sensation information display displayed on a display unit of a user terminal device.
[Explanation of symbols]
10 Weather information notification system
11 Weather information prediction processing unit
12 weather forecasting section
13 Regional Characteristics Correction Section
14 Weather Information Distribution Department
16 Users
17 Receiving part
22 Research Department
31 Body temperature correction unit
32 Information notification section

Claims (5)

Weather information prediction processing means for predicting temperature, humidity, wind information based on forecast data and actual values distributed from an organization or facility related to weather,
Research means for collecting bodily sensation information;
Sensible temperature correction means for correcting sensibility related to the sensation information,
An information notification means for creating and notifying the information desired by the user;
1. A system for notifying bodily sensation information of weather information, comprising: 2. The system according to claim 1, wherein the research unit continuously collects and stores the bodily sensation information, and creates and stores user-specific and regional sensitivities by performing statistical processing. Experience information notification system of the described weather information. A company information management unit that performs a physical tendency analysis by product and a demand / purchase forecast is provided, and the company information management unit provides demand prediction and purchase prediction information on a product when the user is a company. 3. The system according to claim 1, wherein the weather information is sent to the user. The information of the demand forecast and the purchase forecast for the product is used in production management, purchase management, inventory management, sales management, merchandising, supply chain management, sales promotion, product development, distribution and logistics management in the company. 4. The system according to claim 3, further comprising: The weather information prediction processing means is a weather prediction means for predicting elements related to weather based on the forecast data and the actual value, and corrects the elements related to weather with terrain characteristics and local characteristics to obtain temperature, humidity, and wind. 5. The system according to claim 1, further comprising: a correction unit configured to generate the information.

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