JP2010203862A - System, method and processing program for predicting weather - Google Patents

Abstract

An object of the present invention is to accurately predict the weather at a railway station and around the station.
For example, when predicting the weather at a predetermined time for a C station, the weather prediction device acquires weather information about the A station and the B station within a predetermined number of stations from the C station and the C station. The time series change of the weather information is analyzed using the acquired weather information. And a weather prediction apparatus estimates the weather of predetermined time (for example, T1) about C station based on the result of an analysis. More specifically, the weather at station B, which is closer to station A, has changed to rain, the weather at station B has changed from “clear to rain” 20 minutes ago, ”Continues for a period of some observation time at each station, the weather at time T1 is predicted to be“ rainy ”for station C.
[Selection] Figure 1

Description

  The present invention relates to a weather prediction device, a weather prediction method, and a weather prediction processing program.

  Conventionally, there are services that provide weather information to users. For example, there has been proposed a technique for collecting information related to the weather in each region and realizing a service that provides weather information for each region on the Web.

“Weather Report”, [online], Weather Service Co., Ltd., [Search February 9, 2009], Internet <URL: http://www.weather-report.jp>

  By the way, in the technology for providing the weather information described above to a user, there is no one that predicts a detailed weather forecast, for example, focusing on a railway station and an area around the station. For this reason, it has been difficult for railway users to take appropriate measures against the weather in and around the station.

  The present invention has been made in view of the above, and it is an object of the present invention to provide a weather prediction device, a weather prediction method, and a weather prediction processing program capable of accurately predicting the weather in and around a railway station. And

  In order to solve the above-described problems and achieve the object, the present invention is a weather prediction device that predicts the weather, and is acquired every time a predetermined observation time is reached by a weather observation device installed at each railway station. Weather information collecting means for collecting weather information, weather information storage means for storing the weather information collected at predetermined observation times by the weather information collecting means in association with station position information, and a predetermined railway When predicting the weather when the next observation time is reached for a station, weather information about the predetermined railway station and a station located within a predetermined distance from the predetermined railway station is acquired from the weather information storage means. And weather prediction means for predicting the weather when the next observation time arrives for the predetermined railway station from the time series change of the acquired weather information.

  ADVANTAGE OF THE INVENTION According to this invention, the weather of a railway station and a station periphery can be estimated accurately.

FIG. 1 is a diagram for explaining the features of the weather prediction apparatus according to the first embodiment. FIG. 2 is a diagram illustrating the configuration of the weather prediction apparatus according to the first embodiment. FIG. 3 is a diagram illustrating a configuration example of the weather information DB according to the first embodiment. FIG. 4 is a diagram for explaining the flow of processing by the weather prediction apparatus according to the first embodiment. FIG. 5 is a diagram illustrating the configuration of the weather prediction apparatus according to the second embodiment. FIG. 6 is a diagram illustrating a configuration example of the weather information DB according to the second embodiment. FIG. 7 is a diagram for explaining the flow of processing by the weather prediction apparatus according to the second embodiment. FIG. 8 is a diagram illustrating a computer that executes a weather prediction processing program.

  Hereinafter, embodiments of a weather prediction device, a weather prediction method, and a weather prediction processing program according to the present invention will be described in detail with reference to the drawings.

  In the following first embodiment, the outline and features of the weather prediction apparatus according to the first embodiment, the configuration and processing of the weather prediction apparatus will be described in order, and finally the effects of the first embodiment will be described. In addition, this invention is not limited by this Example.

[Outline and Features of Weather Prediction Device (Example 1)]
For example, the weather prediction device according to the first embodiment is configured to predict the weather related to a railway station and the vicinity of the railway station. And, when the weather prediction device according to the first embodiment predicts the weather at a predetermined time for a predetermined railway station, from the time series change of the weather information for a station located within a predetermined distance from the predetermined railway station, It is characterized in that the weather at a predetermined time is predicted for a predetermined railway station.

  Hereinafter, the features of the weather prediction apparatus according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram for explaining the features of the weather prediction apparatus according to the first embodiment. As shown in the figure, the weather prediction apparatus according to the first embodiment collects weather information from each railway station (for example, A to C), and stores the collected weather information in association with the position information of the station.

  Then, for example, when the weather prediction device according to the first embodiment predicts the weather at a predetermined time for the C station, the weather information about the A station and the B station within the predetermined number of stations from the C station and the C station is obtained. Acquire and analyze the time-series change of the weather information using the acquired weather information. Specifically, in the weather prediction apparatus according to the first embodiment, as illustrated in FIG. 1, the time series change of the weather information at the station A to the present is “rain → rain → rain → rain”, and B The time series change of the weather information at the station to the present is “Sunny → Sunny → Rain → Rain”, and the time series change of the weather information at the station C to the present is “Sunny → Sunny → Sunny → Sunny”. Analyzing that In addition, the broken line shown to the same figure represents the weather observation time (collection time of weather information) in each station.

  And the weather prediction apparatus which concerns on Example 1 estimates the weather of predetermined time (for example, T1) about C station based on the result of an analysis. More specifically, the weather at station B, which is closer to station A, has changed to rain, the weather at station B has changed from “clear to rain” 20 minutes ago, ”Continues for a period of some observation time at each station, the weather at time T1 is predicted to be“ rainy ”for station C.

  As described above, the weather prediction apparatus according to the first embodiment predicts the weather at a predetermined time for a predetermined railway station from the time series change of the weather information about the station located within a predetermined distance from the predetermined railway station. To do. For this reason, it is possible to accurately predict the weather around the railway station and the station.

[Configuration of Weather Prediction Device (Example 1)]
Next, the configuration of the weather prediction apparatus according to the first embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating the configuration of the weather prediction apparatus according to the first embodiment. As shown in the figure, the weather prediction apparatus 200 according to the first embodiment can communicate with the weather observation apparatus 100 and the user apparatus 300 installed at each railway station via a network 1 such as a public telephone network or the Internet. It is in a state.

  The user device 300 is used by the user in order to acquire the weather prediction information of the station from the weather prediction device 200. For example, a portable terminal such as a mobile phone, a PHS, or a PDA having a function of exchanging information with the weather prediction apparatus 200, a personal computer, or the like is applicable.

  The weather observation apparatus 100 is installed at each railway station and includes a communication control unit 110, a weather observation unit 120, and a weather information transmission unit 130. The communication control unit 110 controls communication related to various information exchanged with the weather prediction device 200.

  The weather observation unit 120 observes the weather around the railway station and the station after waiting for a preset observation time. For example, the atmospheric state is measured using a general observation device having a sensor for measuring temperature, pressure, wind direction, wind speed, and the like. And the weather around a railway station and a station is observed by analyzing a measurement result. Note that the weather observation unit 120 may use any known technique as a method of observing the weather. Each time the weather observation unit 120 completes the weather observation, it passes the weather information, which is the observation result, to the weather information transmission unit 130.

  When receiving the weather information from the weather observation unit 120, the weather information transmission unit 130 transmits the weather information to the weather prediction device 200 via the communication control unit 110.

  As shown in FIG. 2, the weather prediction apparatus 200 includes a weather information DB 210, a communication control unit 220, a weather information storage unit 230, and a weather prediction processing unit 240.

  The weather information DB 210 stores weather information at each railway station in association with position information. Specifically, the railway route name, the station name in each route, the position information of each station, and the weather information for each observation time are stored in association with each other.

  For example, as shown in FIG. 3, the route name “Y route”, the station name “A station, B station, C station,...”, The location information of each station, and the observation time “. , 11:50, 12:10, 12:10, 12:20, 12:30, 12:40,..., The weather information (“rain” or “sunny”) is stored in association with each other. The station names in each line are arranged in the arrangement order on the line.

  As the position information, the latitude and longitude measured for each station are set in advance in the DB using a GPS (Global Positioning System) receiver or the like. Any information can be adopted as the position information as long as the weather prediction apparatus 200 can calculate the positional relationship between the stations. FIG. 3 is a diagram illustrating a configuration example of the weather information DB according to the first embodiment.

  The weather information storage unit 230 stores the weather information received from the weather observation apparatus 100 in the weather information DB 210. Each time weather information is received from the weather observation apparatus 100, the weather information storage unit 230 stores the weather information in a location corresponding to the route name, station name, and observation time.

  The weather prediction processing unit 240 acquires the weather information stored in the weather information DB 210, and predicts the weather at a predetermined time around the predetermined railway station and the station. Specifically, for example, when the weather prediction processing unit 240 predicts the weather at a predetermined time for the C station (see FIG. 1), the A station and the B station located within two stations from the C station and the C station. Etc. (see FIG. 1), the weather information up to the present time is acquired, and the time series change of the weather information is analyzed using the acquired weather information.

  For example, if the current time is “12:20”, the weather prediction processing unit 240 analyzes the weather information acquired from the weather information DB 210, and the time-series change of the weather information up to the current time at station A is “ “Rain → Rain → Rain → Rain”, the time-series change of the weather information up to the current time at station B is “Sunny → Sunny → Rain → Rain”, and the time-series change of the weather information at station C to the present is “Sunny → Sunny” Analyzes that “→ Sunny → Sunny”.

  Then, the weather prediction processing unit 240 predicts the weather at a predetermined time for the weather prediction target station and the vicinity of the target station based on the analysis result. For example, when the weather prediction processing unit 240 predicts the weather at the time “12:40” around the C station and around the C station, the weather at the B station near the A station changes to “rain”. From the point that the weather at station B has changed from “clear to rain” 20 minutes ago, and from the point that “rain” continues for several observation times at each station, The weather at time “12:40” around station C is predicted to be “rainy”.

  Similarly, when the weather prediction processing unit 240 predicts the weather at time “12:40” at the F station on the Z route and around the F station, the weather at the E station near the D station is “sunny”. , And the point where the weather at station B has changed from “rain to sunny” 20 minutes ago, and further, “sunny” continues for several hours at each station. Therefore, the weather at the time “12:40” around the F station and the F station is predicted to be “sunny”.

  In addition, as described above, the weather prediction processing unit 240 not only predicts the weather using the weather information of the stations on the same route, but also weather information of the stations that are close in distance from the station that is the target of the weather prediction. May be used to predict the weather that is subject to weather prediction and the weather around the station.

  For example, the weather prediction processing unit 240 is not limited to information on stations on the same route, but based on position information stored in the weather information DB 210, a weather prediction target station and a weather prediction target The weather information of stations within a predetermined distance from the station is acquired. Then, using the weather information acquired from the weather information DB 210, the time series change of the weather information of the stations within a predetermined distance from the station that is the target of the weather prediction is analyzed, and the station and the station that are the target of the weather prediction Predict the surrounding weather.

  And the weather prediction apparatus 200 can also provide the information regarding the weather prediction of a railway station and a station periphery, for example according to the request | requirement from the user apparatus 300 etc. which are shown in FIG.

[Processing of Weather Prediction Device (Example 1)]
Next, the flow of processing performed by the weather prediction apparatus according to the first embodiment will be described with reference to FIG. FIG. 4 is a diagram for explaining the flow of processing by the weather prediction apparatus according to the first embodiment.

  As shown in FIG. 4, the weather prediction processing unit 240 of the weather prediction device 200 acquires weather information of a station within a predetermined number of stations from the weather prediction target station and the target station (step S1). Specifically, for example, when the weather prediction processing unit 240 predicts the weather at a predetermined time for the C station (see FIG. 1), the A station and the B station located within two stations from the C station and the C station. The weather information up to the present time is acquired from the weather information DB 210.

  And the weather prediction process part 240 analyzes the time series change of the weather information of each station using the weather information acquired from weather information DB210 (step S2). For example, if the current time is “12:20”, the weather prediction processing unit 240 analyzes the weather information acquired from the weather information DB 210, and the time-series change of the weather information up to the current time at station A is “ “Rain → Rain → Rain → Rain”, the time-series change of the weather information up to the current time at station B is “Sunny → Sunny → Rain → Rain”, and the time-series change of the weather information at station C to the present is “Sunny → Sunny” Analyzes that “→ Sunny → Sunny”.

  And the weather prediction process part 240 estimates the weather of a weather prediction object station and the circumference | surroundings of an object station based on the time series change analysis result about the weather information of each station (step S3). For example, the case where the weather of predetermined time is estimated about C station and the C station periphery is mentioned as an example.

  When the weather prediction processing unit 240 predicts the weather at the time “12:40” in the C station and in the vicinity of the C station, the weather prediction processing unit 240 determines that the B that is closer to the A station from the analysis result regarding the time series change of the weather information described above The point where the weather at the station has changed to “rain”, the point where the weather at station B has changed from “sunny to rain” 20 minutes ago, and “rain” has passed several observation times at each station. The weather at the time “12:40” around the C station and around the C station is predicted to be “rainy” because it continues for a long time. And the weather prediction process part 240 completes a process.

[Effects of Example 1]
As described above, according to the first embodiment, the weather prediction apparatus according to the first embodiment is based on a time series change of weather information about a station located within a predetermined distance from the predetermined railway station, and the predetermined railway station. The weather at a predetermined time is predicted. For this reason, it is possible to accurately predict the weather around the railway station and the station.

  In the first embodiment, the weather prediction device 200 can further collect and store weather information between the railway stations and add it to the weather prediction regarding a predetermined railway station.

[Configuration of Weather Prediction Device (Example 2)]
FIG. 5 is a diagram illustrating the configuration of the weather prediction apparatus according to the second embodiment. The configuration of the weather prediction apparatus according to the second embodiment is basically the same as that of the weather prediction apparatus according to the first embodiment, but differs in the points described below.

  The weather prediction device 200 can communicate with the train 400 traveling on the railway via the network 1. And the weather information storage part 230 will judge that it is raining between the acquired stations, if the driving | running | working information which shows between the running stations and the operation information of a wiper are acquired from the train 400, Correspondence of weather information DB210 Save in place.

  For example, as shown in FIG. 6, when the weather information storage unit 230 receives travel information and wiper operation information indicating that the train 400 is “running a section from station A to station B” around 12:10. The weather information “rain” is stored in the corresponding location of the weather information DB 210. FIG. 6 is a diagram illustrating a configuration example of the weather information DB according to the second embodiment.

  For example, when the weather prediction processing unit 240 predicts the weather at a predetermined time for the C station (see FIG. 1), the “C station”, “the A station and the B station located within two stations from the C station, etc. ( 1) ”and“ A station to B station section, B station to C station section ”are acquired, and the time series change of the weather information is analyzed using the acquired weather information. To do.

  For example, if the current time is “12:20”, the weather prediction processing unit 240 analyzes the weather information acquired from the weather information DB 210, and the time-series change of the weather information up to the current time at station A is “ “Rain → Rain → Rain → Rain”, the time series of weather information up to the current time in the section from Station A to B is “Sunny → Rain → Rain → Rain”, the time series of weather information up to the current time at Station B The change is “Sunny → Sunny → Rain → Rain”, the time series of weather information up to the current time in the section between B and C stations is “Sunny → Sunny → Sunny → Rain”. Analyzes that the series change is “clear → clear → clear → clear”.

  Then, the weather prediction processing unit 240 predicts the weather at a predetermined time for the weather prediction target station and the vicinity of the target station based on the analysis result. For example, when the weather prediction processing unit 240 predicts the weather at the time “12:40” around the C station and around the C station, the weather at the B station near the A station changes to “rain”. The point that the weather in the section from station B to C has changed to “rain”, the weather in the section from station B to station C has changed from “sunny to rain” 10 minutes ago, From the point that “rain” continues for several observation times at each station, the weather at time “12:40” around station C and around station C is predicted to be “rain”.

[Processing by Weather Prediction Device (Example 2)]
FIG. 7 is a diagram for explaining the flow of processing by the weather prediction apparatus according to the second embodiment. As shown in the figure, the weather prediction processing unit 240 of the weather prediction apparatus 200 acquires weather prediction target stations, stations within a predetermined number of stations from the target station, and weather information between stations (step S1). Specifically, for example, when the weather prediction processing unit 240 predicts the weather at a predetermined time for the C station (see FIG. 1), the A station and the B station located within two stations from the C station and the C station. , And “the section from A station to B station, the section from B station to C station” are acquired from the weather information DB 210 to the present time.

  And the weather prediction process part 240 analyzes the time series change of the weather information of each station using the weather information acquired from weather information DB210 (step S2). If the current time is “12:20”, the weather prediction processing unit 240 analyzes the weather information acquired from the weather information DB 210, and the time series change of the weather information up to the current time at the station A is “rain → “Rain → Rain → Rain”, the time series change of the weather information from the A station to the B station until the current time is “Sunny → Rain → Rain → Rain”, the time series of the weather information at the B station until the current time is “Sunny → Sunny → Rain → Rain”, the time-series change of weather information until the current time in the section from B to C station is “Sunny → Sunny → Sunny → Rain”, The time-series change of the weather information at station C Analyzes that “Sunny → Sunny → Sunny → Sunny”.

  And the weather prediction process part 240 estimates the weather of a weather prediction object station and the circumference | surroundings of an object station based on the time series change analysis result about the weather information of each station (step S3). For example, the case where the weather of predetermined time is estimated about C station and the C station periphery is mentioned as an example.

  For example, when the weather prediction processing unit 240 predicts the weather at the time “12:40” around the C station and around the C station, the weather at the B station near the A station changes to “rain”. The point that the weather in the section from station B to C has changed to “rain”, the weather in the section from station B to station C has changed from “sunny to rain” 10 minutes ago, From the point that “rain” continues for several observation times at each station, the weather at time “12:40” around station C and around station C is predicted to be “rain”. And the weather prediction process part 240 completes a process.

[Effects of Example 2]
As described above, according to the second embodiment, weather information between stations is acquired and added to the prediction of the weather of the weather prediction target station, so the weather is predicted with higher accuracy than using the weather information of only the station. it can.

  As described in the first embodiment, the time series change of the weather information of the stations within a predetermined distance from the target station for weather prediction is analyzed to predict the weather around the target station and the target station. In this case, the weather may be predicted in consideration of the time series change of the weather information between stations.

  Hereinafter, other embodiments of the weather prediction device and the weather prediction method according to the present invention will be described.

(1) Device Configuration, etc. For example, each component of the weather prediction device 200 shown in FIG. 2 is functionally conceptual and does not necessarily need to be physically configured as illustrated. That is, the specific form of distribution / integration of the weather prediction apparatus 200 is not limited to that shown in the figure, and for example, the weather information storage unit 230 and the weather prediction processing unit 240 are integrated. As described above, all or part of the weather prediction apparatus 200 can be configured to be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Furthermore, each processing function (see FIGS. 4 and 7, etc.) performed in the weather prediction apparatus 200 is realized by a CPU and a program that is analyzed and executed by the CPU, or It can be realized as hardware by wired logic.

(2) Weather prediction method The following weather prediction method is implement | achieved by the weather prediction apparatus 200 demonstrated in the said Example.

  That is, a weather information collecting step for collecting weather information acquired every time a predetermined observation time is reached by a weather observation device installed at each railway station, and when predicting the weather at a predetermined time for a predetermined railway station From the weather information storage means for storing the weather information collected at each predetermined observation time by the weather information collection step in association with the station position information, within a predetermined distance from the predetermined railway station and the predetermined railway station. A weather prediction step of acquiring weather information about a station (for example, see step S1 in FIG. 4), and predicting the weather at a predetermined time for a predetermined railway station from a time series change of the acquired weather information (for example, The weather prediction method including steps S2 and S3 in FIG. 4) is realized.

(3) Weather Prediction Processing Program Various processes of the weather prediction apparatus 200 described in the above embodiment (for example, see FIGS. 4 and 7 etc.) are executed in advance using programs prepared in advance such as personal computers and workstations. It can be realized by executing it on a computer system. In the following, an example of a computer that executes a weather prediction processing program having the same function as that of the above embodiment will be described with reference to FIG. FIG. 8 is a diagram illustrating a computer that executes a weather prediction processing program.

  As shown in the figure, the computer 500 is configured by connecting a communication control unit 510, an HDD 520, a RAM 530, and a CPU 540 via a bus 600.

  Here, the communication control unit 510 controls communication related to the exchange of various information. The HDD 520 stores information necessary for the CPU 540 to execute various processes. The RAM 530 temporarily stores various information. The CPU 540 executes various arithmetic processes.

  As shown in FIG. 8, the HDD 520 includes a weather prediction processing program 521 that exhibits the same function as each processing unit of the weather prediction apparatus 200 shown in the above embodiment, and weather prediction processing data 522. Pre-stored. Note that the weather prediction processing program 521 may be appropriately distributed and stored in a storage unit of another computer that is communicably connected via a network.

  Then, the CPU 540 reads this weather prediction processing program 521 from the HDD 520 and expands it in the RAM 530, whereby the weather prediction processing program 521 functions as a weather prediction processing process 531 as shown in FIG. That is, the weather prediction processing process 531 reads the weather prediction processing data 522 and the like from the HDD 520, expands them in the area allocated to itself in the RAM 530, and executes various processes based on the expanded data and the like. The weather prediction processing process 531 corresponds to processing executed in the weather prediction processing unit 240 of the weather prediction apparatus 200 shown in FIG.

  The weather forecast processing program 521 is not necessarily stored in the HDD 520 from the beginning. For example, a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk inserted into the computer 500, Each program is stored in a “portable physical medium” such as an IC card, and “another computer (or server)” connected to the computer 500 via a public line, the Internet, a LAN, a WAN, or the like. Alternatively, the computer 500 may read out and execute each program from these.

  As described above, the weather prediction device, the weather prediction method, and the weather prediction processing program according to the present invention are useful for predicting the weather, and in particular, accurately predicting the weather around the railway station and the station. Is suitable.

DESCRIPTION OF SYMBOLS 1 Network 100 Weather observation apparatus 110 Communication control part 120 Weather observation part 130 Weather information transmission part 200 Weather prediction apparatus 210 Weather information DB
DESCRIPTION OF SYMBOLS 220 Communication control part 230 Weather information preservation | save part 240 Weather prediction process part 300 User apparatus 400 Train 500 Computer 510 Communication control part 520 HDD (Hard Disk Drive)
521 Weather prediction processing program 522 Weather prediction processing data 530 RAM (Random Access Memory)
531 Weather Prediction Processing Process 540 CPU (Central Processing Unit)
600 buses

Claims (9)

A weather prediction device for predicting the weather,
Weather information collecting means for collecting weather information acquired every time a predetermined observation time is reached by a weather observation device installed at each railway station;
Weather information storage means for storing the weather information collected at predetermined observation times by the weather information collection means in association with the position information of the station;
When predicting the weather at a predetermined time for a predetermined railway station, obtaining weather information about the predetermined railway station and a station located within a predetermined distance from the predetermined railway station from the weather information storage means, A weather prediction device comprising: weather prediction means for predicting the weather at a predetermined time for the predetermined railway station from the time series change of the acquired weather information. The weather information storage means stores the weather information collected by the weather information collection means in association with the arrangement position on the route of the station,
The weather prediction means acquires weather information about the predetermined railway station and a station within a predetermined number of stations from the predetermined railway station from the weather information storage means, and the time series change of the weather information at each acquired station The weather prediction apparatus according to claim 1, wherein the weather at a predetermined time is predicted for the predetermined railway station. It further includes determination means for obtaining driving information and wiper operation information indicating between running stations from a train running between stations, and determining weather between the stations,
The weather information storage means further stores information related to the weather between stations determined by the determination means,
The weather prediction means acquires the weather information about the predetermined railway station and the stations within a predetermined number of stations from the predetermined railway station, and information on the weather between the stations from the weather information storage means, and acquires the information The weather prediction apparatus according to claim 2, wherein the weather at a predetermined time is predicted for the predetermined railway station from the time series change of the weather information between the several stations and the stations. A weather prediction method applied to a weather prediction device that performs a process of predicting weather,
A weather information collecting step for collecting weather information acquired every time a predetermined observation time is reached by a weather observation device installed at each railway station;
When predicting the weather at a predetermined time for a predetermined railway station, from the weather information storage means for storing the weather information collected at each predetermined observation time by the weather information collection step in association with the position information of the station, Obtaining weather information about a predetermined railway station and a station located within a predetermined distance from the predetermined railway station, and predicting the weather at a predetermined time for the predetermined railway station from the time series change of the acquired weather information A weather prediction method comprising: a weather prediction step.   The weather prediction step includes: from the weather information storage unit that stores the weather information collected by the weather information collection unit in association with an arrangement position on a station line, from the predetermined railway station and the predetermined railway station. 5. The weather information for a predetermined number of stations is acquired, and the weather at a predetermined time is predicted for the predetermined railway station from a time-series change of the weather information at each acquired station. Weather forecast method. It further includes a determination step of acquiring wiper operation information from a train traveling between stations and determining weather between the stations,
The weather prediction step includes the weather information storage unit that further stores information on the weather between the stations determined in the determination step, and the predetermined railway station and stations within a predetermined number of stations from the predetermined railway station. Acquiring weather information and information on the weather between the stations, and predicting the weather at a predetermined time for the predetermined railway station from time series changes of the weather information between the acquired several stations and the stations, The weather prediction method according to claim 5. A weather prediction processing program for causing a computer to execute a process for predicting weather,
A weather information collection procedure for collecting weather information acquired every time a predetermined observation time is reached by a weather observation device installed at each railway station;
When predicting the weather at a predetermined time for a predetermined railway station, from the weather information storage means for storing the weather information collected for each predetermined observation time by the weather information collection procedure in association with the position information of the station, Obtaining weather information about a predetermined railway station and a station located within a predetermined distance from the predetermined railway station, and predicting the weather at a predetermined time for the predetermined railway station from the time series change of the acquired weather information A weather prediction processing program for causing a computer to execute a weather prediction procedure.   From the weather information storage means for storing the weather information collected by the weather information collection procedure in association with the arrangement position on the station route, from the predetermined railway station and the predetermined railway station The weather information about a predetermined number of stations is acquired, and the weather at a predetermined time is predicted for the predetermined railway station from the time series change of the weather information at each acquired station. Weather forecast processing program. Obtaining wiper operation information from trains running between stations, causing the computer to further execute a determination procedure for determining the weather between stations,
The weather prediction procedure includes the weather information storage means for further storing information about the weather between the stations determined by the determination procedure, and the predetermined railway station and stations within a predetermined number of stations from the predetermined railway station. Acquiring weather information and information on the weather between the stations, and predicting the weather at a predetermined time for the predetermined railway station from time series changes of the weather information between the acquired several stations and the stations, The weather prediction processing program according to claim 8.

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