JP5010213B2 - Search device and search method - Google Patents

Description

  The present invention relates to a search device and a search method for searching for a case of a railway line transportation failure caused by weather disturbance.

  In cold regions where there is a lot of snow, snow and snowdrift concentrated locally in a short period of time will cause a major obstacle to the railway track. For example, snow and snowdrifts may cause inoperability of turnouts (points), buried tracks, etc., resulting in suspension of trains and delays. In order to prevent failures, it is necessary to secure a system for measures against failures such as snow removal.

However, as the railway network expands, it is difficult to take sufficient countermeasures for all lines. In order to prevent obstacles, it is essential to predict the weather conditions in advance and provide appropriate information to drivers and railway track operators. As a device for predicting the weather situation in advance, for example, a lightning case search device as shown in Patent Document 1 has been proposed.
JP-A-11-160453

However, in the lightning case search device described in Patent Document 1, only a lightning case is displayed, but a failure that may occur is not displayed. Therefore, depending on the displayed weather conditions, each driver or railroad track operator has to predict a failure that may occur and cannot take appropriate measures against the failure.
In addition, since the displayed examples are limited to lightning, it is difficult for each driver and railroad track operator to predict the content of a failure that may occur.

  In the present invention, a railway fault case retrieval apparatus capable of displaying a railway fault case caused by weather disturbance (low pressure, front, etc.) at high speed and with high accuracy and supporting implementation of appropriate fault countermeasures. And to provide a search method.

The invention according to claim 1 categorizes and accumulates past weather disturbance route data for each weather disturbance pattern, and also provides precipitation, snowfall amount, wind direction, and each point corresponding to each weather disturbance route data. A weather condition database storing weather data including wind speed, a failure case database storing railway failure case data corresponding to route data of each weather disturbance, a predicted atmospheric pressure configuration acquisition unit for acquiring a predicted atmospheric pressure configuration, and the prediction Based on the atmospheric pressure arrangement, one of the weather disturbance patterns is selected, a prediction unit that determines the selected weather disturbance pattern as a predicted weather disturbance path, and a predicted weather disturbance path determined by the prediction unit searches the weather conditions database, retrieves a list of the route data of past weather disturbances corresponding to weather disturbances pattern of the predicted weather disturbances route search unit , Wherein the search unit selects one from a list of searched past weather disturbance route data, and a past railway failure occurrence case corresponding to the selected weather disturbance route data. Is extracted from the failure case database, and further includes a display unit for displaying the railway failure occurrence cases extracted by the search unit.

  In this invention, data indicating the path of the weather disturbance that has occurred in the past is accumulated, and the database is constructed by accumulating the meteorological data of each point corresponding to the path of each weather disturbance and the case data of the railway failure. When weather disturbance route data, precipitation, snowfall, wind direction, or wind speed is input as a search key, past railway failure occurrence cases are extracted and displayed. The user directly inputs numerical values for precipitation, snowfall, wind direction, and wind speed as search keys. For example, a plurality of weather disturbance route patterns may be prepared as the weather disturbance route data serving as a search key, and the user may select one of these patterns.

  In the invention according to claim 2, the display unit displays a railway failure occurrence example as a failure list including a delay of the train, the number of suspended trains, and a distribution map of precipitation, snowfall, wind direction, and wind speed. It is characterized by that.

  In this invention, in addition to displaying railroad failure cases as a list, and displaying a distribution map of weather conditions in each place, for each item such as the occurrence location and snowfall, wind speed for each transportation fault of interest, the entire region (for example, Hokkaido) You can see what the situation was.

The invention according to claim 3 categorizes and accumulates past weather disturbance route data for each weather disturbance pattern, and also provides precipitation, snowfall, wind direction, and each point corresponding to each weather disturbance route data. A search method for searching for cases of railway failures caused by weather disturbances from a weather situation database that accumulates weather data including wind speed and a failure case database that accumulates railway failure case data corresponding to route data of each weather disturbance The server selects one of the weather disturbance patterns on the basis of the predicted atmospheric pressure arrangement acquisition process for acquiring the predicted atmospheric pressure arrangement and the predicted atmospheric pressure arrangement, and the selected weather disturbance pattern is selected as the predicted weather disturbance. a prediction process for determining a disturbance path, searches the weather condition database based on predicted weather disturbances path determined by the prediction process, A search process for searching a list of past weather disturbance route data corresponding to the weather disturbance pattern of the predicted weather disturbance route and one of the searched past weather disturbance route data are selected, and the selected weather is selected. An extraction process of extracting past railway failure occurrence cases corresponding to disturbance route data from the failure case database , and a display process for displaying the railway failure occurrence cases extracted by the server search process. It is characterized by performing.

The invention according to claim 4 is characterized in that the railway failure occurrence example includes a train delay, a failure list including the number of suspensions, and a distribution map of precipitation, snowfall, wind direction, and wind speed. .

  According to the present invention, it is possible to display a case of a railroad failure caused by weather disturbance (low pressure, front, etc.) at high speed and with high accuracy, and it is possible to support the implementation of appropriate fault countermeasures.

  FIG. 1 is a block diagram of a railway track failure countermeasure (snow removal system) support system (hereinafter referred to as a support system) according to an embodiment of the present invention. This support system includes a server 1 and a plurality of browsing terminals 3 connected via a network 2 such as the Internet. The server 1 functions as a database server and a WEB server. The server 1 accumulates weather disturbance route data, weather data, and rail failure case data, which will be described later, and data (HTML data or the like) for displaying a list of rail failure cases and a weather situation distribution map on each browsing terminal 3. ). The browsing terminal 3 is composed of a general-purpose personal computer, for example. A user (railway track operator) of each browsing terminal 3 uses the browsing terminal 3 to make a request for displaying a case of a railroad failure to the server 1. The user secures a snow removal system by looking at a list of railway failure cases and a weather situation distribution map.

  FIG. 2 is a block diagram showing a detailed configuration of the server 1. The server 1 includes a network I / F 11, a user I / F 12, a RAM 13, a CPU 14, a display unit 15, and a database 16.

  The network I / F 11 is connected to the network 2 and transmits / receives data to / from other devices via the network 2. The network I / F 11 inputs data received from other devices to the CPU 14 and transmits data output from the CPU 14 to other devices.

  The user I / F 12 is an interface for an administrator (support system operator) of the server 1 to operate the server 1 and includes, for example, a keyboard and a mouse. The operation information input by the user I / F 12 is input to the CPU 14, and the CPU 14 performs various processes based on the operation information.

  The CPU 14 is a control unit for comprehensively controlling the server 1, and performs various operations by expanding the operation program of the server 1 stored in the database 16 in the RAM 13 which is a work memory. In the present embodiment, the CPU 14 creates HTML data for displaying a pattern list of weather disturbance routes (see FIG. 3) in response to the case display request received from each browsing terminal 3, and this is used as the browsing terminal. 3 to send. Thereby, a list of weather disturbance route patterns is displayed on the browsing terminal 3, and the user can specify a weather disturbance route pattern from this list. The weather disturbance route pattern designated by the user is transmitted to the server 1.

  The CPU 14 searches the weather disturbance route data stored in the database 16 based on the weather disturbance route pattern designated from the browsing terminal 3. The weather disturbance route data indicates the travel route of the actually generated weather disturbance, and any one of the weather disturbance route patterns is assigned to each data. The CPU 14 reads out the weather disturbance route data corresponding to the designated weather disturbance route pattern. The CPU 14 creates HTML data for displaying a list of weather disturbances (see FIG. 4) corresponding to the weather disturbance route pattern, and transmits the HTML data to the browsing terminal 3. Thereby, a list of weather disturbance routes is displayed on the browsing terminal 3, and the user can designate each weather disturbance from this list. The weather disturbance designated by the user is transmitted to the server 1.

  The CPU 14 searches the railway failure case data and the weather data stored in the database 16 based on the weather disturbance designated from the browsing terminal 3. The meteorological data is data representing the wind direction, wind speed, precipitation, and snowfall at each point. The railway failure case data is data (see FIG. 5) showing the detailed contents (occurrence time, occurrence location, etc.) of the railway failure that actually occurred (passenger, freight train suspension, delay). The CPU 14 searches the railway failure case data and the weather data, reads the rail failure case corresponding to the designated weather disturbance, and the weather situation, and displays HTML data for displaying a list of the rail failure cases (see FIG. 7). Create Moreover, the amount of snowfall accumulated for each railway failure case is calculated, and HTML data for displaying a weather situation distribution map (see FIG. 6) is created. The CPU 14 transmits these HTML data to each browsing terminal 3. Thereby, the railway failure case list for the weather disturbance route designated in the browsing terminal 3 and the weather situation distribution map can be displayed.

  The display unit 15 includes an image processing unit and a display, and displays an auxiliary screen for an administrator of the server 1 to perform an operation. The administrator of the server 1 operates the server 1 using the user I / F 12 according to the display content of the display unit 15.

  The database 16 includes a storage device such as a hard disk drive, and stores weather disturbance route data, weather data, and railway failure case data. In addition, an operation program for the server 1 (CPU 14) is stored. The database 16 stores weather disturbance route data, weather data, and railway failure case data as a weather situation database and a failure case database. The meteorological situation database is a compilation of meteorological conditions (such as the date of occurrence of the disturbance, weather data at major locations) for each weather disturbance. The failure case database is a compilation of railway failure cases (operation suspension, number of delays, etc.) that actually occurred in each weather disturbance.

  As shown in the list of weather disturbances in FIG. 4, the weather situation database shows the disturbance route number, date of departure, all day, disturbance pattern, damage scale, maximum snowfall, maximum snowfall point name, maximum wind speed, And the item of the maximum wind speed point name is recorded. The disturbance path number is an identification number of each weather disturbance. The rising day is the day when the weather disturbance occurred, and the whole day is the day when the weather disturbance disappeared and passed. The disturbance pattern indicates 12 types of weather disturbance path patterns described later. The scale of damage represents the scale of railway failures caused by weather disturbances, and is expressed in three levels: large, medium, and small.

  As shown in FIG. 5, the failure case database includes an ID number, date and time of occurrence, weather type, accident type, occurrence line section, occurrence location, train type, train number, number of passenger train suspensions, freight train suspensions, passenger train delays , Freight train delay number, passenger train delay time, freight train delay time, and general conditions. The ID number is an identifier of a railway failure case, and consists of a serial number such as 20000001 every year. The occurrence date and time represents the occurrence date and time of each railway failure. The weather represents the weather at the time of railway failure. The accident type indicates the content of the railway failure that has occurred, such as a railroad disaster. The generation line section represents a route name. The occurrence location represents a failure occurrence section. The train type represents the type of train such as electric or diesel and the type of limited express. The train number represents a unique number for each train. The number of passenger train suspensions represents the number of passenger trains suspended due to railway failures. The number of freight train suspensions represents the number of freight trains suspended due to railway failures. The number of passenger train delays represents the number of passenger trains that have been delayed. The number of freight train delays represents the number of freight trains delayed. Passenger train delay time represents the total delay time of passenger trains. The freight train delay time represents the total delay time of the freight train. The overview is a text summarizing the contents of each rail failure.

  The administrator (operator) of the server 1 inputs in advance the weather disturbance route data, weather data, and railway failure case data for configuring the above database. Further, the administrator of the server 1 can update the weather disturbance route data, the weather data, and the railway failure case data at an arbitrary timing. Further, the weather disturbance route data, the weather data, and the railway failure case data can be updated from other devices via the network I / F 12 and the network 2. For example, the update is performed from an update terminal (not shown) different from the browsing terminal 3 described above. Further, it may be periodically downloaded from another device (for example, a server of a weather service support center) and updated. It is also possible to collect and update route data (including predictions) and meteorological data of weather disturbances occurring at the present time in real time.

Next, weather disturbance routes, weather conditions, and railway failure cases will be described in detail. FIG. 3 is a diagram illustrating a weather disturbance route. FIG. 4A is a list of weather disturbance route patterns, and FIG. 4B shows each weather disturbance route pattern displayed on a map. The weather disturbance represents a low pressure, a front, and the like. In this embodiment, the route of the weather disturbance is classified into the following 12 patterns. Note that the number and mode of classification are not limited to this example.
1. 1. A low pressure system has moved eastward from the continent and passed north of central Sakhalin. 2. A low pressure has been moving eastward from the continent and passed through southern Sakhalin to northern Hokkaido. 3. A low pressure system has moved eastward from the continent and passed through southern Hokkaido and northern Tohoku. 4. Low pressure has been moving eastward from the continent and passed through the southern part of the Tohoku region. 5. Low pressure or typhoon northward from the southwestern part of the Sea of Japan, northward over the sea west of Hokkaido, and further northward. A cyclone or typhoon passed north of the Sea of Japan from the southwestern part of the Sea of Japan and passed near the Soya Strait. A cyclone or typhoon passed north of the Sea of Japan from the southwestern part of the Sea of Japan and passed near the Tsugaru Strait. Low pressure or typhoon passed north of the Sea of Japan from the southwestern part of the Sea of Japan and passed through the southern part of the Tohoku region. 10. Low pressure or typhoon northward from Kanto to Sanriku, approaching Hokkaido or passing offshore. Two cyclones from the Pacific Ocean side and the Sea of Japan side northward across Honshu W. By seasonal wind blow F. When a noticeable front or a trough of the atmospheric pressure passes and the inclination of the atmospheric pressure becomes steep, when the user makes a case display request, the browsing terminal 3 has the pattern list shown in FIG. A map of is displayed. The user can specify any weather disturbance route pattern.

  Past weather disturbances that have actually occurred are assigned to one of these 12 patterns of weather disturbance paths. When the weather disturbance route pattern is specified from the browsing terminal 3, the CPU 14 searches the weather situation database and creates HTML data for displaying a list of weather disturbances corresponding to the specified weather disturbance route pattern. To do. FIG. 4 is a diagram showing a weather disturbance list. The weather disturbance list includes items of disturbance route number, departure date, all day, disturbance pattern, damage scale, maximum amount of snowfall, maximum snowfall point name, maximum wind speed, and maximum wind speed point name.

  When the user designates a weather disturbance route pattern, such a weather disturbance list is displayed on the browsing terminal 3. In addition to the designation of the weather disturbance route pattern, the weather disturbance list may be displayed on the browsing terminal 3 when the user designates the maximum wind speed or the maximum amount of snowfall. When the user designates the maximum wind speed or the maximum snowfall, the data of the maximum wind speed or the maximum snowfall is transmitted to the server 1, and the CPU 14 of the server 1 searches the weather situation database and designates the specified maximum wind speed. Or a weather disturbance corresponding to the maximum snowfall amount (for example, having a specified maximum wind speed, a wind speed greater than the maximum snowfall amount, or a snowfall amount).

  The user can select an arbitrary weather disturbance from the displayed weather disturbance list. When the user selects a weather disturbance, the corresponding weather disturbance data is transmitted to the server 1. The CPU 14 of the server 1 searches the failure case database based on the received weather disturbance data, and creates HTML data for displaying a list of railroad failure cases (see FIG. 7). Further, the CPU 14 creates HTML data for displaying a weather situation distribution map based on the occurrence period of the weather disturbance (from the day of departure to the end of the day).

  FIG. 6 is a diagram showing a weather situation distribution map, and FIG. 7 is a diagram showing a list of railway failure cases. The weather situation distribution map displays the amount of snowfall (periodic snowfall amount), wind speed, and wind direction on a map. The figure (A) is the figure which expressed the period integrated snowfall by the range distribution, and the figure (B) is the figure which represented the period integrated snowfall on the map by the numerical value. FIG. 6C is a diagram in which the wind speed and the wind direction are represented by a range distribution, and FIG. 8D is a diagram in which the wind speed is represented numerically on a map. The list of railway fault cases shown in FIG. 7 displays detailed contents of faults such as fault locations. Note that the weather situation distribution map of FIG. 6 and the list of railway failure cases of FIG. 7 are simultaneously pop-up displayed on the browsing terminal 3.

  In this way, by displaying the amount of snowfall, wind speed, and wind direction on the map, and displaying a list of railway fault cases, the location of each fault and the items such as snowfall, wind speed, etc. You can see what the situation was.

  In the present embodiment, it is also possible to calculate a weather disturbance prediction route. In order to calculate the predicted route, for example, a 24-hour predicted atmospheric pressure configuration announced by the Japan Meteorological Agency is acquired, and based on this predicted atmospheric pressure configuration, the most approximate pattern of the above 12 weather disturbance route patterns is determined as a predicted route. Good. The approximation of the atmospheric pressure arrangement and the weather disturbance route pattern may be performed by image analysis (fuzzy reasoning, neural network, etc.). The pattern of the determined weather disturbance path is set as a predicted weather disturbance path. The predicted weather disturbance route is determined by a device different from the server 1 (for example, a server of a weather service support center, etc.). The server 1 receives the predicted weather disturbance route, searches the failure case database using this route as a key, extracts the most suitable failure case (for example, a recent occurrence, etc.), and displays the weather situation distribution map and diagram of FIG. Display a list of 7 railway failure cases. In addition, what is necessary is just to receive the data of a forecast weather disturbance path | route regularly (for example, 6 am and 6 pm).

  Next, the operation of the server 1 will be described with reference to FIG. FIG. 8 is a flowchart showing the operation of the server 1. First, the server 1 determines whether or not predicted weather disturbance route data has been received (s101). If the predicted weather disturbance route data has not been received, it is determined whether a weather disturbance pattern is designated from the browsing terminal 3 or whether the maximum wind speed and the maximum snowfall amount are designated (s102). If the weather disturbance pattern is not specified, and the maximum wind speed and maximum snowfall are not specified, the operation is repeated from s101.

  When the predicted weather disturbance route data is received, when the weather disturbance pattern is designated from the browsing terminal 3 or the maximum wind speed and the maximum snowfall amount are designated, the weather condition database is searched (s103), and the corresponding A list of weather disturbances (HTML data) is created (s104). Then, it waits until the weather disturbance is selected from the browsing terminal 3 (s105). When the weather disturbance is selected from the browsing terminal 3 (s105 → Y), a weather situation distribution map and a list of railway failure cases are created (s106). The created weather situation distribution map and a list of railway failure cases are transmitted to the browsing terminal 3.

  In the above operation, the example of creating a list of weather disturbances in s104 and then waiting until the weather disturbance is selected from the browsing terminal 3 has been described. However, the most suitable from the list of weather disturbances (for example, The weather disturbance may be automatically selected. If the predicted weather disturbance route data is received, the closest weather disturbance may be selected.

  As described above, according to the support system of this embodiment, cases of railway failures caused by weather disturbance can be displayed at high speed and with high accuracy, and areas and points requiring attention can be easily determined. Therefore, it is possible to support the implementation of appropriate countermeasures against failures.

The data that the server 1 transmits to the browsing terminal 3 is not limited to HTML data. For example, text data or pdf data may be used.
In addition, although the failure example in a railroad track was demonstrated in this embodiment, this assistance system is not limited to a railroad track, It is also possible to apply to a general road.

It is a block diagram which shows the structure of a support system. 2 is a block diagram showing a detailed configuration of a server 1. FIG. It is a figure which shows a weather disturbance path | route. It is the figure which showed the weather disturbance list. It is the figure which showed the railway failure example data. It is the figure which showed the weather condition distribution map. It is the figure which showed the list of a railway failure example. 4 is a flowchart showing the operation of the server 1.

Explanation of symbols

1-server 2-network 3-browsing terminal

Claims (4)

The route data of the past weather disturbances with and accumulates the classified by weather disturbances pattern, precipitation of each point corresponding to the route data of the meteorological disturbances, snowfall, wind direction, and accumulated meteorological data including wind speed weather A status database;
Failure case database that accumulates railway failure case data corresponding to route data of each weather disturbance,
A predicted atmospheric pressure arrangement acquisition unit for acquiring the predicted atmospheric pressure arrangement;
Based on the predicted atmospheric pressure arrangement, a prediction unit that selects one of the weather disturbance patterns and determines the selected weather disturbance pattern as a predicted weather disturbance path;
A search unit that searches the weather condition database based on a predicted weather disturbance path determined by the prediction unit, and that searches a list of past weather disturbance route data corresponding to a weather disturbance pattern of the predicted weather disturbance path;
A search device comprising:
The search unit selects one from the list of searched past weather disturbance route data, extracts a past railway failure occurrence case corresponding to the selected weather disturbance route data from the failure case database ,
The search apparatus further provided with the display part which displays the railway failure occurrence example extracted by the said search part.   The search device according to claim 1, wherein the display unit displays railway failure occurrence cases as a failure list including train delays, the number of suspended trains, and a distribution map of precipitation, snowfall, wind direction, and wind speed. The route data of the past weather disturbances with and accumulates the classified by weather disturbances pattern, precipitation of each point corresponding to the route data of the meteorological disturbances, snowfall, wind direction, and accumulated meteorological data including wind speed weather A status database;
And a search method for searching for cases of railway failures caused by weather disturbances from a failure case database that stores railway failure case data corresponding to route data of each weather disturbance,
The server
Predicted atmospheric pressure arrangement acquisition processing for acquiring the predicted atmospheric pressure arrangement;
A prediction process for selecting one of the weather disturbance patterns based on the predicted atmospheric pressure arrangement and determining the selected weather disturbance pattern as a predicted weather disturbance path;
A search process for searching the weather situation database based on the predicted weather disturbance path determined in the prediction process, and searching for a list of past weather disturbance path data corresponding to the weather disturbance pattern of the predicted weather disturbance path;
Selecting one from the list of past weather disturbance route data searched, and extracting the past railway failure occurrence cases corresponding to the selected weather disturbance route data from the failure case database ;
A search method, wherein the terminal performs a display process for displaying a railway failure occurrence case extracted by the search process of the server.   The search method according to claim 3, wherein the railway failure occurrence case includes a failure list including a train delay, the number of suspended trains, and a distribution map of precipitation, snowfall, wind direction, and wind speed.