Support system, support method, and support program

Abstract

To provide a support system that can support situation determination of the influence of weather without depending on knowledge from experience.SOLUTION: A support system according to an embodiment comprises: a weather analysis unit that analyzes the weather in a section or a point in a weather analysis target area; and an image data generation unit that generates image data for displaying a weather prediction value of the section or the point based on a result of the analysis conducted by the weather analysis unit, and a weather measured value of the section or the point measured in the weather analysis target area, respectively along the time series.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] An embodiment of the present invention relates to an assistance system, an assistance method, and an assistance program. [Background technology]

[0002] Conventionally, systems that analyze weather such as wind conditions and precipitation are known. The weather analysis data calculated by this system can be used in various situations affected by weather. For example, the weather analysis data can be used to judge the status of transportation networks such as railroads and roads, and the status of air routes for aircraft such as drones. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6326550 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, when a train is suspended due to abnormal weather such as a typhoon, the decision to resume operation is generally based on the measurements of wind gauges installed along the line and weather forecasts. However, if the accuracy of the weather forecast is low, the decision to resume operation is ultimately based on the experience of the operation manager. In this way, the decision to resume operation depends on the experience of the operation manager, making it difficult to make an appropriate decision when the operation manager is absent.

[0005] The problem to be solved by the present invention is to provide an assistance system, an assistance method, and an assistance program that are capable of assisting in making a situational judgment regarding meteorological influences without relying on experiential knowledge. [Means for solving the problem]

[0006] A support system according to one embodiment includes a weather analysis unit that analyzes the weather of a section or point within a weather analysis target area, and an image data creation unit that creates image data for displaying, in chronological order, weather forecast values ​​for the section or point based on the analysis results of the weather analysis unit, and actual weather measured values ​​for the section or point within the weather analysis target area. Effect of the Invention

[0007] According to this embodiment, it is possible to assist in making judgments about weather influences without relying on experiential knowledge. [Brief description of the drawings]

[0008] [Figure 1] 1 is a block diagram showing a schematic configuration of a support system according to a first embodiment. [Diagram 2] 4 is a flowchart showing a procedure of an assisting operation of the assisting system according to the first embodiment. [Diagram 3] FIG. 2 is a diagram for explaining details of a support operation of the support system according to the first embodiment. [Figure 4] 1 is a graph showing an example of meteorological analysis data. [Diagram 5] FIG. 4 is a diagram showing an example of an image displayed on a display unit by an image data creation unit in the first embodiment. [Figure 6] FIG. 11 is a diagram showing an example of an image displayed on a display unit by an image data creation unit in the second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described with reference to the drawings. The present invention is not limited to the following embodiments.

[0010] (First embodiment) Fig. 1 is a block diagram showing a schematic configuration of a support system according to a first embodiment. The support system 1 shown in Fig. 1 includes a data input device 100 and a diagnostic evaluation device 200. The data input device 100 and the diagnostic evaluation device 200 are connected to each other via a communication network 300.

[0011] First, a description will be given of the configuration of the data input device 100. The data input device 100 has an online data input section 110 and an offline data input section 120. Weather forecast data 111, actual weather measurement data 112, accident data 113, and operation data 114 are input to the online data input section 110 from outside. Each piece of data will be described below.

[0012] The weather forecast data 111 includes at least one of, for example, the Japan Meteorological Agency forecast data, weather forecast Grid Point Value (GPV) data, weather forecast SCW site (Super C Weather) data, meteorological reanalysis data such as ERA-5, and data of the results of Weather Research and Forecasting (WRF) analysis such as a numerical weather model. The Japan Meteorological Agency forecast data is data predicted by the Japan Meteorological Agency. The weather forecast GPV data is past and future weather forecast data calculated by a supercomputer at grid points preset on a map. The ERA-5 data is data used for weather forecasting by the European Centre for Medium-Range Weather Forecasts. The WRF is a forecast model for predicting wind conditions such as wind speed and direction.

[0013] The measured meteorological data 112 includes, for example, at least one of the following: observation data by the Japan Meteorological Agency, measured data of wind conditions along railway lines, and measured data of local wind conditions. The observed data by the Japan Meteorological Agency is data obtained by measuring meteorological information such as wind conditions, temperature, humidity, and air pressure by the Japan Meteorological Agency. The measured data of wind conditions along railway lines is data obtained by measuring wind conditions at multiple points along railway lines by railway companies. The measured data of local wind conditions is data obtained by measuring wind conditions at points along railway lines where measured data of wind conditions along railway lines is not measured. The measured data of local wind conditions is, for example, wind condition data measured by an ultrasonic anemometer. An ultrasonic anemometer is a measuring instrument that observes wind speed and direction from the time it takes to transmit and receive ultrasonic pulses between two ultrasonic time transmitters and receivers.

[0014] The accident data 113 is data indicating details of accidents that have occurred along railway lines in the past. The details of the accidents include, for example, the date, location, and circumstances of the accidents.

[0015] The operation data 114 includes real-time location information of trains in operation, operation plans including planned cancellations, and the like.

[0016] Meanwhile, for example, map data 121, structure data 122, train data 123, and railroad line data 124 are input from outside to the offline data input unit 120. Each piece of data will be described below.

[0017] The map data 121 is data on the map of the evaluation target area including the railroad line and its surrounding areas, as well as data on the topography such as altitude.

[0018] The structure data 122 is data on structures existing in the evaluation area including the railway line and its surroundings. The structure data 122 includes, for example, data on buildings that may affect the wind conditions along the railway line, and data on the positions and load-bearing capacity of utility poles and trees that may affect train operation depending on the wind conditions along the railway line. Load-bearing capacity can also be referred to as allowable stress.

[0019] The train data 123 is data indicating specifications of the train, such as the weight and overall length, and data indicating the load capacity.

[0020] The railway line data 124 is data indicating the locations of railway tracks and stations.

[0021] Next, a description will be given of the configuration of the diagnostic evaluation device 200. The diagnostic evaluation device 200 has a communication unit 210, an operation unit 220, a display unit 230, a control unit 240, and a storage unit 250. Each unit of the diagnostic evaluation device 200 will be described below.

[0022] The communication unit 210 functions as a communication interface when communicating with the data input device 100 via the communication network 300 .

[0023] The operation unit 220 receives operation input from a user and includes input devices such as a keyboard and a mouse.

[0024] The display unit 230 displays various images under the control of the control unit 240. The display unit 230 has a display device such as a liquid crystal display. Note that the display unit 230 may function as a display device installed outside the diagnostic evaluation device 200.

[0025] The control unit 240 has a data acquisition unit 241, a weather analysis unit 242, a structure analysis unit 243, an index calculation unit 244, a wind condition identification unit 245, and an image data creation unit 246. Each unit will be described below.

[0026] The data acquisition section 241 acquires various data from the data input device 100 via the communication section 210 .

[0027] The weather analysis unit 242 performs weather analysis using the data acquired by the data acquisition unit 241. This weather analysis includes, for example, calculating wind conditions such as wind speed and wind direction, and the amount of precipitation.

[0028] The structural analysis unit 243 calculates the wind load generated on structures existing along the railway line using the weather analysis data from the weather analysis unit 242. The wind load includes moments and generated stresses.

[0029] The index calculation unit 244 calculates an index of the impact of wind conditions along the railway on structures in the evaluation target area based on the meteorological analysis data and the structural analysis data. This index is, for example, the risk of electric poles and trees along the railway being destroyed by strong winds.

[0030] The wind condition identification unit 245 identifies the current and future wind conditions along the railway line.

[0031] The image data creation unit 246 creates image data to be displayed on the display unit 230 .

[0032] The storage unit 250 has an operation database 251, an asset database 252, a weather analysis database 253, and a structure analysis database 254. Each database will be described below.

[0033] The operation database 251 is a database that associates past weather conditions with operation decisions along the railway line. In the operation database 251, past operation decisions such as normal, caution, slowing down, and stopping are associated with weather conditions such as wind speed indicated in the weather forecast data 111 or the weather measurement data 112 at the time of the decision. The operation database 251 also indicates details of accidents that have occurred along the railway line in the past. For example, based on the weather forecast data 111, the weather measurement data 112, and the accident data 113 acquired from the data input device 100, the date and time of the accident, the location, the weather forecast data at the time of the accident, and the wind condition measurement data are associated with each other.

[0034] The asset database 252 is a database showing details related to structures and trains. The asset database 252 includes the train data 123 acquired from the data input device 100 and the like.

[0035] The weather analysis database 253 is a database showing the results of a prior analysis of wind conditions, precipitation, etc. along the railway line. The weather analysis database 253 includes weather analysis data calculated by the weather analysis unit 242.

[0036] The structural analysis database 254 is a database showing the results of a previous analysis of structures existing along a railway line. The structural analysis database 254 includes structural analysis data calculated by the structural analysis unit 243, etc.

[0037] Hereinafter, the assisting operation of the above-mentioned assisting system 1 will be described with reference to Fig. 2 and Fig. 3. Fig. 2 is a flowchart showing the procedure of the assisting operation of the assisting system 1 according to this embodiment. Fig. 3 is a diagram for explaining the details of the assisting operation of the assisting system 1 according to this embodiment.

[0038] As shown in FIG. 2, first, data required for the assist operation is input from an external organization to the data input device 100 (step S1). The input data is classified into an online data input unit 110 and an offline data input unit 120 according to its characteristics. Online data whose data values ​​change over time, i.e., weather forecast data 111, actual weather measurement data 112, accident data 113, and operation data 114, are input to the online data input unit 110. On the other hand, offline data whose data values ​​are constant, i.e., map data 121, structure data 122, train data 123, and lineside data 124, are input to the offline data input unit 120. The accident data 113 may be input to the offline data input unit 120.

[0039] Next, the weather analysis unit 242 of the diagnosis evaluation device 200 performs a weather analysis along the railway line (step S2). Here, the operation of step S2 in this embodiment will be described in detail with reference to Fig. 3.

[0040] 3, first, the meteorological analysis unit 242 creates a wide-area analysis model (step S21) using the map data 121. The wide-area analysis model shows a topographical model of mountainous areas and flatlands in a wide area including along a railway line.

[0041] Next, the weather analysis unit 242 inputs the weather forecast data 111 into a wide area analysis model to perform wind condition analysis of the wide area (step S22). In step S22, for example, ERA5 data is input as the weather forecast data 111. As for the weather data, not only the evaluation target area itself but also weather data outside the evaluation target area is input.

[0042] Next, the weather analysis unit 242 creates a local analysis model using the map data 121 and the structure data 122 (step S23). In step S23, the wide area is divided into a plurality of local areas, and the local analysis model includes a topographical model of each local area and data on buildings, etc. Railroad tracks exist within one local area or within a plurality of local areas.

[0043] Next, the meteorological analysis unit 242 inputs the results of the wide-area wind condition analysis performed in step S22 into the local analysis model to perform wind condition analysis for each local area (step S24). Wind condition analysis data indicating the analysis results for each local area is stored in the meteorological analysis database 253 as one of the meteorological analysis data.

[0044] Next, the meteorological analysis unit 242 calculates a conversion factor for converting the wind condition analysis value into a wind condition actual measurement value or a wind condition forecast value (step S25). The conversion factor is also stored in the meteorological analysis database 253. The conversion factor can be obtained, for example, by calculating the difference, normalization, sum of squares of the difference, or inner product between the actual measurement value of the meteorological measurement data 112 measured at a certain point and the analysis value of the meteorological analysis data at the same point as the actual measurement value. The conversion factor can be used to calculate the actual measurement value even for points where the wind conditions are not actually measured. The meteorological analysis unit 242 may calculate the conversion factor at multiple points. In this case, when obtaining the actual measurement value at a certain point, the actual measurement value can be calculated with high accuracy by using the conversion factor corresponding to the point closest to the point. Alternatively, the actual measurement value at a certain point may be calculated based on the conversion factors of multiple actual measurement points.

[0045] FIG. 4 is a graph showing an example of meteorological analysis data. In FIG. 4, the horizontal axis indicates the wind speed at a certain point, and the vertical axis indicates the altitude at a certain point. In the graph shown in FIG. 4, in normal times, as the altitude increases, the wind speed increases rapidly in the positive direction. In contrast, in emergency times, the wind speed increases once in the negative direction until the altitude reaches a certain value, and then increases in the positive direction. In this way, the manner in which the meteorological analysis data changes differs between normal times and emergency times. Therefore, the meteorological analysis data for normal times and the meteorological analysis data for emergency times may be stored in separate meteorological analysis databases 253. In this case, the meteorological analysis data can be classified and managed according to the wind conditions.

[0046] In this embodiment, in order to create wind condition analysis data with high accuracy, a so-called nesting wind condition analysis is performed, in which the area is narrowed stepwise from a wide area to a local area. However, if data accuracy can be ensured, weather analysis data along the railway line may be created using local wind condition analysis. In this case, wide-area wind condition analysis is not necessary, and the time required for wind condition analysis can be shortened.

[0047] In addition, in this embodiment, the weather analysis unit 242 analyzes the wind speed and wind direction in step S2, but the subject of the weather analysis is not limited to these, and may be, for example, the amount of precipitation.

[0048] When the above-mentioned weather analysis is completed, the structural analysis unit 243 performs a structural analysis of structures existing along the railway line (step S3), as shown in Fig. 2. Here, the operation of step S3 will be described in detail with reference to Fig. 3.

[0049] 3, first, the structural analysis unit 243 creates a structural analysis model using the structure data 122 (step S31). In the structural analysis model, objects to be analyzed, such as utility poles and trees, are positioned based on multiple structural position data.

[0050] Next, the structural analysis unit 243 inputs the weather analysis data stored in the weather analysis database 253 into the structural analysis model to perform structural analysis of each structure (step S32). The structural analysis data indicating the results of the structural analysis is stored in the structural analysis database 254. The structural analysis unit 243 calculates the wind load generated on the structure as structural analysis data when, for example, a wind speed indicated in the weather analysis data occurs. In this embodiment, the structural analysis is performed based on the structure position data, but it is also possible to perform structural analysis on individual analysis targets that do not include position data, and store the results in the structural analysis database 254. In this case, for example, a danger map of trees existing in a specific area can be created.

[0051] Note that a train is more susceptible to the wind when traveling on an inclined track than when traveling on a flat track. Therefore, in step S3, the structural analysis unit 243 may calculate the load generated on the train. In this case, the structural analysis unit 243 first creates a structural analysis model using the train data 123 and the lineside data 124. Next, the structural analysis unit 243 uses this structural analysis model to calculate the wind load generated on the train as structural analysis data. This structural analysis data is also stored in the structural analysis database 254.

[0052] Furthermore, when strong winds occur, the structure may vibrate. In this case, dynamic vibration loads are generated on the structure. Therefore, structural analysis data may be stored in separate structural analysis databases 254 according to the type of load. For example, by storing structural analysis data of a structure on which static wind loads are generated and structural analysis data of a structure on which dynamic vibration loads are generated in separate structural analysis databases 254, the loads can be classified and managed.

[0053] In this embodiment, as described above, weather analysis is performed, and weather analysis data such as wind speed along the railway line is stored in advance in the weather analysis database 253. In addition, a structural analysis is performed based on the results of this wind analysis, and structural analysis data such as loads generated when strong winds act on structures and trains existing along the railway line is stored in advance in the structural analysis database 254.

[0054] When the meteorological analysis data and structural analysis data are compiled into a database, the wind condition identification unit 245 identifies the current and future wind conditions along the railway line (step S4), as shown in Fig. 2. Here, the operation of step S4 will be described in detail with reference to Fig. 3.

[0055] In step S4, as shown in FIG. 3, the wind condition identification unit 245 identifies the current and future wind conditions at each point along the railway line using the weather forecast data 111, the actual weather data 112, and data read from the weather analysis database 253. When identifying the current wind conditions, for a point where the actual weather data 112 exists, the wind condition identification unit 245 identifies the wind conditions using, for example, the actual weather data 112. For a point where the actual weather data 112 does not exist, the wind condition identification unit 245 identifies the wind conditions using, for example, the weather forecast data 111 near the point and data read from the weather analysis database 253 (weather analysis data and conversion coefficients). When identifying future wind conditions, the wind condition identification unit 245 identifies the wind conditions using the weather forecast data 111 including weather forecast GPV data and the like, and data read from the weather analysis database 253 (weather analysis data and conversion coefficients).

[0056] When the operation of step S4 is completed, the index calculation unit 244 calculates an index indicating the degree of danger of the structure (step S5) as shown in Fig. 2. Here, the operation of step S5 will be described in detail with reference to Fig. 3.

[0057] 3, in step S5, the index calculation unit 244 reads out the wind load (including moment, generated stress, etc.) indicated in the structural analysis data of each structure stored in the structural analysis database 254. Alternatively, the index calculation unit 244 also reads out the load-bearing capacity (allowable stress, etc.) indicated in the load-bearing capacity data of each structure stored in the asset database 252.

[0058] Next, the index calculation unit 244 compares the wind load and the load capacity for each structure. Next, the index calculation unit 244 calculates the risk of collapse of the structure based on the comparison result. The index calculation unit 244 also compares the wind load of the train read from the structural analysis database 254 with the load capacity of the train read from the asset database 252, and calculates the risk of train running based on the comparison result. The risk levels of the structure and the train are preset, for example, according to the load capacity and the difference between the wind load and the load capacity. The calculation results of the above-mentioned indexes are sent to the image data creation unit 246. This ends the operation of step S5.

[0059] Next, the image data creation unit 246 creates image data to be displayed on the display unit 230 (step S6). Here, the operation of step S6 will be described in detail with reference to FIG.

[0060] 5 is a diagram showing an example of an image displayed on the display unit 230 by the image data creation unit 246 in the first embodiment. The image data creation unit 246 creates image data for displaying a list (dashboard display) of images 401 to 404 shown in FIG.

[0061] Image 401 is a map component image. In order to display this map component image on the display unit 230, the image data creation unit 246 creates image data for displaying a route map from station A to station E included in the weather analysis target area on a map using the map data 121 and lineside data 124 input to the offline data input unit 120. The image data creation unit 246 also creates image data for displaying the weather analysis results of the weather analysis unit 242 at a specific time for each section of the route map. In this image data, the predicted value of wind speed and the color of the regulation-like performance in each section are set in advance according to the wind speed level. The image data creation unit 246 may display the actual measured value of wind speed instead of the predicted value.

[0062] Here, we will explain the similar regulation results. The similar regulation results are operation judgment results when, for example, wind speed or wind speed and wind direction are similar, by comparing weather forecast values ​​with past weather forecast values ​​or actual weather measurements stored in a database or the like. The operation judgment results may refer to the most recent results or past appropriate judgment cases. The similarity of wind speed or wind speed and wind direction is indexed by Euclidean distance, Manhattan distance, inner product, or the like.

[0063] For example, when creating image data to display a restriction-like performance at 6:00 in section BC between stations B and C, the image data creation unit 246 first extracts weather conditions in which the time and wind speed satisfy predetermined similarity criteria from the operation database 251. Next, the image data creation unit 246 identifies an operation decision associated with the extracted weather condition as a restriction-like performance in the operation database 251. As a result, in section BC shown in image 401, the predicted wind speed value corresponds to the alert stage, while the restriction-like performance is in the slow-travel stage.

[0064] Next, the display mode of the predicted value of the wind speed and the regulation-like achievement will be described. For example, the wind speed is classified into four levels: less than 15 m / s, 15 m / s or more and less than 20 m / s, 20 m / s or more and less than 25 m / s, and 25 m / s or more. Each level is assigned blue, green, yellow, and red, respectively. In this embodiment, as the above-mentioned four wind speed levels increase, the operation judgment is preset into four stages: normal, caution, slow travel, and stop. In this embodiment, the regulation-like achievement is displayed with a thicker line than the predicted value of the wind speed, but the predicted value may be displayed with a thickness or line type different from the regulation-like achievement. In addition, the display mode of the predicted value of the wind speed and the regulation-like achievement is not limited to the color or line thickness. For example, the predicted value of the wind speed and the regulation-like achievement may be displayed with a shade of a color preset according to the wind speed level. In this case, the display color becomes darker as the wind speed level increases.

[0065] In this embodiment, the image data creation unit 246 uses meteorological analysis data stored in the meteorological analysis database 253 to display a predicted value of wind speed on the image 401. Furthermore, the image data creation unit 246 displays icons 411 and 412, which are set in advance according to the numerical value of the wind speed, on the image 401. When the icon 411 or 412 is clicked, the image data creation unit 246 displays the image 402 of the section corresponding to the clicked icon.

[0066] Image 402 is a time-series graph component image for section AB. In order to display this time-series graph component image on display unit 230, image data creation unit 246 creates image data for displaying predicted values ​​of wind speed in a time-series graph format using meteorological analysis data stored in meteorological analysis database 253, and also displaying actual measured values ​​of wind speed in a time-series graph format using meteorological measurement data 112 input to online data input unit 110. Image data creation unit 246 also creates image data for displaying time-series changes in regulation-like performance for section AB in colors according to wind speed levels, similar to image 401.

[0067] Image 403 is a heat map component image displayed on the display unit 230 at the same time as image 401. In order to display this heat map component image on the display unit 230, the image data creation unit 246 creates image data that displays the predicted values, actual values, and regulation-like results of wind speeds for each section or point on a route map in a weather analysis target area in a heat map format for each tile separated by a predetermined time unit. In image 403, as in image 401, the display color of each tile is set according to the wind speed level. When a tile of image 403 is clicked, the image data creation unit 246 displays image 402 of the section and time corresponding to the clicked tile, i.e., a time series graph component image, on the display unit 230.

[0068] 5, the actual measurement value and the predicted value are displayed in separate tiles, but the actual measurement value may be overwritten on the past predicted value. In this case, the tile display of the actual measurement value becomes unnecessary.

[0069] 5, for example, in the section between Station B and Station C, the predicted value is at the alert level, but the restriction-like performance is at the slow-down level. In this way, by displaying the restriction-like performance at a level different from the predicted value, it is possible to support the decision to lift the restriction.

[0070] The image 404 is composed of an image 441 showing the calculation result of the index calculation unit 244, and a table image 442 explaining the level of the index.

[0071] In order to display image 441, image data creation unit 246 creates image data for displaying multiple utility poles 500 on a map along the railway line, based on position data acquired from asset database 252 via index calculation unit 244. Furthermore, image data creation unit 246 creates image data for mapping and displaying the indexes of each utility pole 500. In image 441, risk a of collapse of each utility pole 500 is displayed as an index, mapped in association with its level. Risk a can be calculated, for example, by dividing the generated stress (in other words, wind load) of utility pole 500 by the allowable stress (in other words, load capacity), as shown in table image 442.

[0072] Image 404 displays the risk of strength against wind load. Therefore, image 404 can be used when formulating operation plans and inspection plans after a strong wind passes along the railway line. Although image 404 displays the risk of collapse of utility pole 500, the object may be another structure such as a tree. Alternatively, it may be a mapping of position data of scattered objects along the railway line such as vinyl greenhouses, which are heavy enough not to be calculated in the structural analysis (step S3) calculated by structural analysis unit 243. Image 404 may also map locations that are risky before or after the fact, and locations on the railway line where there is a high risk of flying objects causing an obstruction to operation.

[0073] The image data creation unit 246 may map and display cumulative values ​​of wind speed, standard deviation, risk level, and the like for a preset period (for example, within the past six hours) on the image 441. The image data creation unit 246 may also display an alarm R on the image 441 as shown in FIG. 5. The alarm R is displayed, for example, in an area where the level of risk is higher than a preset threshold and where an accident has occurred in the past in the operation database 251. The alarm R can be displayed in a color different from the risk level or illuminated, but the display mode is not particularly limited. By displaying the alarm R on the image 441, the operation manager can be alerted.

[0074] The operations of steps S1 to S6 described above can also be realized by having a computer execute a program for processing each step. This program can also be recorded on a recording medium as software.

[0075] In the present embodiment described above, the image data creation unit 246 displays not only the wind speed prediction value of the section or point in the weather analysis target area obtained from the analysis result of the weather analysis unit 242, but also the wind speed actual measurement value obtained from the actual measurement result in the weather analysis target area in chronological order in the images 402 and 403. Therefore, it is possible to grasp the relationship between the weather prediction value and the weather actual measurement value in the past. Therefore, even an operation manager with little experience can make a certain degree of appropriate judgment on the resumption of operation in the future. Therefore, the support system 1 according to this embodiment makes it possible to support a situation judgment regarding weather influences without relying on experience.

[0076] In this embodiment, the image data creation unit 246 also displays similar regulation records, which are operational decisions made in past cases with similar weather conditions, in the images 401, 402, and 403. In this way, by displaying not only the weather forecast values ​​and actual weather values ​​but also the similar regulation records, the support for operational decisions can be further strengthened.

[0077] Second embodiment The second embodiment will be described below, focusing on the differences from the first embodiment described above.

[0078] Fig. 6 is a diagram showing an example of an image displayed on the display unit 230 by the image data creation unit 246 in the second embodiment. In this embodiment, the image data creation unit 246 creates image data for newly displaying an image 405 in a list (dashboard display) on the display unit 230 in addition to the images 401 to 403 shown in Fig. 5. Note that, although image 404 described in the first embodiment is not displayed in Fig. 6, it may be displayed.

[0079] Image 405 is a list component image. In order to display this list component image on display unit 230 simultaneously with images 401 and 403, image data creation unit 246 creates an alert list for each section or point on the route map within the weather analysis target area using weather analysis data stored in weather analysis database 253. For example, image 405 displays predicted times, sections, predicted wind speed values, and operation decisions in a table format in association with one another.

[0080] The operation judgment content for each predicted time displayed in image 405 is set in advance according to the wind speed level, similar to images 401 and 403. The image data creation unit 246 displays the operation judgment content in color in images 401 and 403, while displaying the operation judgment content in text in image 405. Note that the image data creation unit 246 may display the operation judgment content for each predicted time in image 405 both in text and in color.

[0081] According to the present embodiment described above, as in the first embodiment, the relationship between past weather forecast values ​​and actual weather measurements is displayed on the images 402 and 403, so that even an operation manager with little experience can make a proper judgment to some extent on the resumption of future operations. Therefore, it is possible to support the judgment of the situation regarding the weather influence without relying on experience.

[0082] In this embodiment, the image data creation unit 246 displays an image 405 on the display unit 230, in which the contents of the operation judgment are displayed in text. Therefore, the operation manager can instantly grasp the contents of the operation judgment, and can support a quick situation judgment. Note that the image in which the text is displayed is not limited to the image 405, and other images may also be displayed in text. In other words, the image data displayed on the display unit 230 by the image data creation unit 246 may include not only image data in which an image consisting of figures such as a map or a graph and an image in which text is displayed such as the image 405 are mixed, but also image data consisting of only an image in which text is displayed.

[0083] In the above-described embodiments, the area to be evaluated is a railroad line. However, the area to be evaluated is not limited to a railroad line, and may be, for example, a road such as a highway or an air route of an aircraft such as a drone. In this case, the weather analysis unit 242 analyzes the weather of the road or air route.

[0084] In addition, in each of the above-described embodiments, a structural analysis of structures existing along the railway line is performed in step S3, but this structural analysis is optional and not essential. In addition, the display of image 404 can also be selected arbitrarily by operating the operation unit 220. For example, if there are no structures that may affect operation in the vicinity of the railway line, it is unnecessary to perform the structural analysis and display image 404.

[0085] Although several embodiments have been described above, these embodiments are presented only as examples and are not intended to limit the scope of the invention. The novel system described in this specification can be implemented in various other forms. In addition, various omissions, substitutions, and modifications can be made to the forms of the system described in this specification without departing from the spirit of the invention. The scope of the appended claims and their equivalents are intended to include such forms and modifications that fall within the scope and spirit of the invention. [Explanation of symbols]

[0086] 1: Support system 230: Display section 240: Control unit 242: Meteorological Analysis Department 246: Image data creation department

Claims

1. A weather analysis unit that analyzes the weather of a section or point within a weather analysis target area; an image data creation unit that creates image data for displaying, in chronological order, weather forecast values ​​for the section or location based on the analysis results of the weather analysis unit and actual weather measurements for the section or location measured within the weather analysis target area; A support system comprising:

2. The support system according to claim 1 , further comprising a display unit that displays the image data.

3. 3. The assistance system according to claim 1, wherein the image data creation unit creates image data for displaying the weather forecast values ​​and the actual weather measurements in a graph format.

4. 3 . The support system according to claim 1 , wherein the image data creation unit creates image data for displaying the weather forecast values ​​and the weather measured values ​​in a heat map format for each tile that is divided into a predetermined time unit.

5. 3. The assistance system according to claim 1, wherein the image data creation unit creates image data for displaying, in addition to the weather forecast values ​​and the actual weather values, regulation-similar records, which are records of operational decisions in past cases in which weather conditions are similar to the analysis results of the weather analysis unit.

6. 6. The assistance system according to claim 5, wherein the image data creation unit creates, in addition to first image data for displaying the weather forecast values ​​and the actual weather measurements in chronological order, second image data for displaying the section on a map and displaying the weather forecast values ​​or the actual weather measurements at a specific time and the regulation-like performance for each section.

7. The weather forecast value or the actual weather measurement value is color-coded according to its level; The assistance system according to claim 6 , wherein the regulation-like performance is displayed in a line type or thickness different from that of the weather forecast value or the weather actual measurement value.

8. 7. The assistance system according to claim 6, wherein the image data creation unit creates, in addition to the first image data and the second image data, third image data for displaying in text a preset operation judgment according to a level of the weather forecast value.

9. 7. The support system according to claim 6, wherein the image data creation unit creates, in addition to the first image data and the second image data, fourth image data for displaying a degree of danger of structures in the vicinity of the section or the point based on a meteorological analysis result of the meteorological analysis unit.

10. Analyze the weather for sections or points within the weather analysis area, creating image data for displaying, in a chronological order, weather forecast values ​​for the section or location based on the results of the weather analysis and actual weather measurements for the section or location measured within the weather analysis target area; How to help.

11. A process of analyzing the weather of a section or point within a weather analysis target area; A process of creating image data for displaying, in chronological order, weather forecast values ​​for the section or location based on the results of the weather analysis and actual weather measurements for the section or location measured within the weather analysis target area; A support program for causing a computer to execute the above.

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