Information providing system

Abstract

To provide an information providing system that is easy to use for a user.SOLUTION: A dashboard system capable of displaying a plurality of pieces of information related to a flooding risk on a map and browsing them in a unified manner is provided. An information providing system 100 for displaying weather prediction data distributed in real time on a dashboard after performing arithmetic processing in a necessary form in a back end, and for issuing an alert when exceeding a threshold is provided. A GUI for making it easy to intuitively grasp damage prediction by displaying 2D and 3D of a flood damage scale (such as a planar range where flood reaches, and flood depth) predicted to occur when a cumulative rainfall amount exceeds a planned rainfall amount, as predicted, is provided. Flood damage-related information specialized for a base of interest is collectively displayed on one screen. A GUI capable of intuitively grasping a flood risk, a predicted flood level, and the reliability of prediction (information source) according to a timeline on one screen is provided.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to an information providing system that provides information related to meteorological data and river data.

Background Art

[0002] As a conventional technique, there is a method of predicting the occurrence of river flooding by obtaining predicted rainfall up to several hours ahead and measured rainfall within the basin, calculating the maximum cumulative rainfall, and comparing it with the planned rainfall (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] According to the technique described in Patent Document 1, it is possible to predict the occurrence of river flooding, but there is a demand for an information providing system that is even more user-friendly.

[0005] Therefore, an object of the present invention is to provide an information providing system that is user-friendly.

Means for Solving the Problems

[0006] The present invention employs the following means for solving the above problems. Note that the following means and the language in parentheses are merely examples, and the present invention is not limited thereto. Further, the present invention can be an invention including at least one of the invention specific matters shown in the following means. Furthermore, elements limiting the invention specific matters can be added to the invention specific matters shown in the following means to lower the concept, and elements limiting the invention specific matters can be deleted to raise the concept.

[0007] Solution 1: The information providing system of this solution includes an acquisition means for acquiring real-time weather data and river data, a control means for generating processed data by processing the weather data and the river data acquired by the acquisition means into a required form through predetermined arithmetic processing, a display means for displaying the processed data generated by the control means, an input means capable of setting thresholds for the weather data and the river data, an alarm issuing means for issuing an alarm based on the processed data and the thresholds, and a data storage means. Note that the data storage means may or may not be included in this solution.

[0008] According to this solution, since the processed data obtained by processing the weather data and the river data into a required form is displayed, it is possible to provide user-friendly information as compared with a method of directly displaying the weather data and the river data. Also, according to this solution, since a threshold can be set to issue an alarm, the user can freely adjust the occurrence condition of the alarm, and a user-friendly system can be provided.

[0009] Solution 2: The information providing system of this solution is characterized in that, in any of the above solutions, it includes a data storage means for storing the weather data and the river data observed in the past.

[0010] According to this solution, since the weather data and the river data observed in the past, that is, the records of the observed data, are stored (archived), not only the current data but also the past data can be traced and confirmed.

[0011] Solution 3: In the information providing system of this solution, in any of the above-described solutions, the control means generates prediction data for predicting the current flood damage based on the weather data and the river data acquired by the acquisition means, and the display means displays the prediction data generated by the control means on a map. The information providing system is characterized by this.

[0012] According to this solution, by displaying the current flood damage prediction based on real-time data on a map, the flood damage can be intuitively grasped.

[0013] Solution 4: In the information providing system of this solution, in any of the above-described solutions, the control means generates auxiliary data including at least one of the flood risk degree, predicted flood level, and prediction reliability according to time series, and the display means displays the auxiliary data generated by the control means. The information providing system is characterized by this.

[0014] According to this solution, since the auxiliary data is displayed, various judgment materials for flood disasters can be provided to the user.

[0015] Solution 5: In the information providing system of this solution, in any of the above-described solutions, the auxiliary data is displayed on one screen. The information providing system is characterized by this.

[0016] According to this solution, since the auxiliary data is displayed on one screen, just by looking at that screen, the flood occurrence risk during the period when the prediction data has been acquired from now can be seen at a glance.

[0017] Solution 6: In the information providing system of this solution, in any of the above-described solutions, the processed data includes information on at least one of the predicted rainfall or the predicted water level, and the warning issuing means issues a warning when the predicted rainfall or the predicted water level exceeds the threshold value. The information providing system is characterized by this.

[0018] According to this solution, an alarm can be issued by focusing on important items such as predicted rainfall or predicted water level.

[0019] Solution 7: In the information providing system of this solution, in any of the above-described solutions, the threshold value can be set to a plurality of values, and the alarm issuing means issues an alarm every time the predicted rainfall or the predicted water level exceeds any one of the plurality of threshold values, and the display means is an information providing system characterized by listing and displaying the alarms issued by the alarm issuing means.

[0020] According to this solution, by setting a plurality of threshold values and listing the exceedance of the threshold values, the expandability of the system and the ease of verification by the user can be enhanced.

[0021] Solution 8: In the information providing system of this solution, in any of the above-described solutions, the control means generates a comparison graph comparing the predicted rainfall and the actual rainfall, and the display means is an information providing system characterized by displaying the comparison graph generated by the control means.

[0022] According to this solution, by displaying a comparison graph comparing the predicted rainfall and the actual rainfall, the correctness of the predicted rainfall can be verified.

[0023] Solution 9: In the information providing system of this solution, in any of the above-described solutions, the control means generates a first graph in which graphs of a plurality of observation points regarding the river data are superimposed, and the display means is an information providing system characterized by displaying the first graph generated by the control means.

[0024] According to this solution, in order to display a first graph in which graphs of a plurality of observation points regarding the river data are superimposed, comparison of a plurality of observation points becomes easy, and convenience can also be improved.

[0025] Solution 10: In the information providing system of this solution, in any of the above-described solutions, the control means generates a second graph in which graphs of a plurality of observation points regarding the river data are arranged in order according to the distance from the estuary from the upstream to the downstream of the river, and generates a prediction line for predicting the rise of the river water level from the peak of the second graph, and the display means displays the second graph and the prediction line generated by the control means. The information providing system is characterized by this.

[0026] According to this solution, in order to display the second graph and the prediction line, by arranging and displaying the observation points according to the distance, the water level peak on the downstream side can be intuitively imagined.

Effect of the Invention

[0027] According to the present invention, an information providing system that is easy for users to use can be provided.

Brief Explanation of Drawings

[0028]

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Mode for Carrying Out the Invention

[0029] Hereinafter, embodiments of the present invention will be described with reference to the drawings. Note that the following embodiments are a preferred example of the information providing system, and the present invention is not limited to this example.

[0030] FIG. 1 is a diagram showing the information providing system 100 of the present embodiment. The information providing system 100 can be a system based on RisKma (registered trademark, Construction Technology Research Institute, Inc.). The information providing system 100 stores meteorological data such as meteorological prediction / actual situation data distributed in real time and river data (river flow condition data) such as river water levels and flows in a server (such as a cloud server). The real-time data can be displayed on a standard dashboard. In the information providing system 100, it is possible to view data going back in the past. Also, in the information providing system 100, it is possible to display information such as rain cloud radar and kikukuru overlaid on a map. The information providing system 100 automatically calculates the distributed meteorological data at the backend and automatically stores the information necessary for the target facility / project in a server (data storage unit). The necessary information can include, for example, continuous rainfall for a certain number of hours, rainfall duration, etc. Note that any number can be set for "〇〇".

[0031] The information providing system 100 can provide a graphic user interface (GUI) that enables a method for providing meteorological information related to flood risk and damage prediction. The information providing system 100 enables intuitive flood damage prediction without performing complex analysis or the like.

[0032] The information providing system 100 acquires various types of data from the outside. The various types of data acquired by the information providing system 100 include, for example, at least one of meteorological data, hydrological observation station data, and information such as warnings and advisories. The meteorological data includes, for prediction, information on the Mesoscale Numerical Prediction Model (MSM), the Global Scale Numerical Prediction Model (GSM), and precipitation short-term forecast, and for actual conditions, information on high-resolution precipitation nowcast. The hydrological observation station data includes, for actual conditions, information on telemetered rainfall and telemetered water level. Note that the actual meteorological data and hydrological observation station data can include, in addition to the above-mentioned public data, data from rain gauges and river level gauges independently installed by users. The information such as warnings and advisories includes information on advisories / warning information, landslide disaster warning information, record-breaking short-term heavy rain information, flood cycle, and landslide cycle. Note that the information to be acquired can be arbitrarily set (increased or decreased) according to the content handled by the information providing system 100.

[0033] The information providing system 100 is a system based on GIS (Geographic Information System), which automatically aggregates the acquired data, performs threshold determination, and conducts alert management. In alert management, the information providing system 100 can issue alerts (send emails, system notifications) to the terminal 101 preset in the information providing system 100.

[0034] In addition, the information of the information providing system 100 can be viewed from an arbitrary terminal 102. The information viewed on the terminal 102 can be provided to facility managers, construction site managers, etc. The facility managers and construction site managers can make judgments such as work continuation / suspension, implementation / completion target time of countermeasures, evacuation start / cancellation, etc. based on the provided information. Furthermore, the information of the information providing system 100 can also be provided to customers' factories, logistics warehouses, etc. outside the construction site and incorporated into BCP (Business Continuity Planning).

[0035] The information providing system 100 includes an acquisition unit 10 (acquisition means), a control unit 11 (control means), a display unit 12 (display means), an input unit 13 (input means), an alarm issuing unit 14 (alarm issuing means), and a data storage unit 15 (data storage means). The information providing system 100 is a system constructed using a computer having these respective functional units.

[0036] The acquisition unit 10 acquires meteorological data (at least a part of meteorological data, hydrological observation station data, information such as warnings and advisories, etc.) and river data (at least a part of meteorological data, hydrological observation station data, information such as warnings and advisories, etc.) that are distributed in real time. The acquisition unit 10 can acquire data (information) from the outside using communication means such as the Internet.

[0037] The control unit 11 generates processed data by processing the weather data and river data acquired by the acquisition unit 10 into a necessary form through predetermined arithmetic processing. The predetermined arithmetic processing includes operations such as addition, subtraction, multiplication, and division. For example, when calculating the cumulative rainfall, a process of adding the acquired forecast rainfall values to calculate the cumulative rainfall is executed. If the hazard map or flood analysis result of the target facility is simulated based on the 24-hour cumulative rainfall, in order to be able to compare the predicted rainfall value and the simulation result with the value of the 24-hour cumulative rainfall, a process of adding the actual rainfall values and predicted rainfall values for 24 hours is performed. For example, in order to calculate the 24-hour cumulative rainfall 6 hours ahead from now, since it is obtained by adding the cumulative value of the actual rainfall for 18 hours from 18 hours ago to now and the cumulative value of the predicted rainfall from now to 6 hours ahead, there are cases where calculations are performed across actual rainfall values and predicted rainfall values. In addition, subtraction, multiplication, and division operations can also be executed as necessary. For example, when only the forecast rainfall for 10 minutes can be acquired due to missing data or the like, and it is to be calculated as the cumulative rainfall for 1 hour, a process of multiplying the forecast rainfall for 10 minutes by 6 as a reference value to calculate the cumulative rainfall is executed. Furthermore, when only the forecast rainfall for 3 hours can be acquired, and it is to be calculated as the cumulative rainfall for 1 hour, a process of dividing the forecast rainfall for 3 hours by 3 to calculate the cumulative rainfall is executed. The processed data is data generated based on the weather data and river data, and the values related to prediction described below are the processed data.

[0038] The processed data includes at least one of the information of the predicted rainfall or the predicted water level. The control unit 11 generates prediction data for predicting the current flood damage based on the weather data and river data acquired by the acquisition unit 10. The control unit 11 generates auxiliary data including at least one of the flood risk level, predicted flood level, and prediction reliability according to the time series (timeline). The flood risk level, predicted flood level, and prediction reliability are preferably displayed together on one screen.

[0039] The control unit 11 generates a comparison graph that compares the predicted rainfall and the actual rainfall. Also, the control unit 11 generates a first graph in which graphs of a plurality of observation points regarding river data are superimposed. Further, the control unit 11 generates a second graph in which graphs of a plurality of observation points regarding river data are arranged in order according to the distance from the estuary from the upstream to the downstream of the river, and generates a prediction line for predicting the rise in the river water level from the peak of the second graph. The control unit 11 is a control device such as a CPU or a processor. Note that the control unit 11 can also control basic processes such as GIS.

[0040] The display unit 12 displays the processed data generated by the control unit 11. Also, the display unit 12 displays the prediction data generated by the control unit 11 on a map. Further, the display unit 12 displays the auxiliary data generated by the control unit 11.

[0041] The display unit 12 lists and displays the alarms issued by the alarm issuing unit 14. Also, the display unit 12 displays the comparison graph generated by the control unit 11. Further, the display unit 12 displays the first graph generated by the control unit 11. Furthermore, the display unit 12 displays the second graph and the prediction line generated by the control unit 11. Note that the display unit 12 can display the content of the drawings shown below. The display unit 12 is a display device such as a display included in a personal computer or a smartphone.

[0042] The input unit 13 can set thresholds for meteorological data and river data. As the thresholds, a plurality of values can be set. The input unit 13 is an input device such as a mouse, a keyboard, or a touch panel. The user can set the thresholds using the input unit 13.

[0043] The alarm issuing unit 14 issues an alarm based on the processed data and the threshold value. When the alarm issuing unit 14 determines that the predicted rainfall as the processed data or the predicted water level as the processed data exceeds the threshold value (for example, the rainfall threshold value or the water level threshold value), it issues an alarm. When a plurality of threshold values are set, the alarm issuing unit 14 issues an alarm each time the predicted rainfall or the predicted water level exceeds any one of the plurality of threshold values.

[0044] The data storage unit 15 stores (archives) the information acquired by the acquisition unit 10, the meteorological data and river data observed in the past, and various data generated by the control unit 11, etc. The data storage unit 15 is a storage device such as a server, a database, or a memory.

[0045] Since the information providing system 100 has such a configuration, it can display the meteorological data and river data distributed in real time on a map image and a dashboard after processing them in the system backend in a necessary form, such as by calculation. Also, in the information providing system 100, it is possible to intuitively grasp the current flood damage prediction based on real-time data by displaying it on a 2D or 3D map. Furthermore, the information providing system 100 can intuitively grasp the flood risk level, the predicted flood level, and the prediction reliability (information source) according to the time line on one screen. Moreover, the information providing system 100 enables tracking and verification after a lapse of time by providing a prediction-actual comparison graph for the alert issued based on the predicted rainfall.

[0046] FIG. 2 is a diagram showing a conceptual diagram of the information providing system 100 based on real-time data. As shown by the arrow A in FIG. 2, the information providing system 100 can provide information regarding rainfall and water level. Regarding rainfall, it can provide forecast rainfall (predicted rainfall) based on the MSM (Mesoscale Numerical Weather Prediction Model) and GSM (Global Numerical Weather Prediction Model), forecast rainfall (predicted rainfall) based on short-term precipitation forecasts, and information regarding actual rainfall. Regarding water level, it can provide information regarding actual water level. Note that it is also possible to provide a predicted water level based on the actual water level and the forecast rainfall for the water level as well.

[0047] As shown by arrow B in Fig. 2, when the time to be predicted is set to "0:00", the information providing system 100 can predict the rainfall amount and water level at the time to be predicted 78 hours before that time. As a result, as shown by arrow C in Fig. 2, from 78 hours before to 10 hours before, as a precautionary measure, work suspension determination, heavy machinery and equipment evacuation plans, and shift systems can be carried out. Also, from 10 hours before to 3 hours before, as a warning measure, standby on shift and evacuation of heavy machinery and equipment can be carried out. Furthermore, from 3 hours before to the time to be predicted or after the time to be predicted, as a safety measure, completion of evacuation, safety assurance, and restart determination can be carried out.

[0048] Regarding the forecast rainfall amount (GSM) of arrow A in Fig. 2, for example, it is provided up to a maximum of 78 hours in advance. From 78 hours in advance to 39 hours in advance, it can be obtained 4 times a day at 0:00, 6:00, 12:00, and 18:00, every 6 hours. Therefore, continuous monitoring of the continuous rainfall prediction value is carried out based on that information. From 39 hours in advance to 15 hours in advance, it can be obtained 8 times a day at 0:00, 3:00, 6:00, 9:00, 12:00, 15:00, 18:00, and 21:00, every 3 hours. Therefore, continuous monitoring of the continuous rainfall prediction value is carried out based on that information. Note that the timing of obtaining the information on the predicted rainfall amount can be appropriately changed by the system on the information transmitting side, so it can be automatically recognized or arbitrarily set by the user.

[0049] Regarding the forecast rainfall amount (short-term precipitation forecast) of arrow A in Fig. 2, it is provided from 15 hours in advance. From 15 hours in advance to 6 hours in advance, information can be obtained every hour, so continuous rainfall is predicted based on that information. From 6 hours in advance to the time to be predicted, information can be obtained every 10 minutes, so continuous rainfall is predicted based on that information.

[0050] Regarding the actual rainfall amount of arrow A in Fig. 2, the actual actual rainfall amount is obtained and used after the time to be predicted. Regarding the water level of arrow A in Fig. 2, the actual water level is used. Note that the water level monitoring location can be arbitrarily selected.

[0051] As shown by arrows D and E in Fig. 2, in the information providing system 100, it is possible to set a rainfall threshold value and a water level threshold value. Each threshold value can be arbitrarily set by the user. The rainfall threshold value can be set, for example, as Level 3 = assumed maximum scale: 516 (mm / 9h), Level 2 = planned scale 1 / 50: 221 (mm / 9h), Level 1 = high frequency 1 / 10: 50.4 (mm / h), 163 (mm / 24h), etc. Also, the water level threshold value can be set, for example, as Level 2 = flood risk water level: 2.60 (m) T.P. (Tokyo Peil) + 1.42 (m), Level 1 = flood warning water level: 2.20 (m) T.P. + 1.02 (m), etc.

[0052] Also, as shown by arrow F in Fig. 2, in the information providing system 100, it is also possible to display a graph showing the relationship between the water level (m), the hourly rainfall (mm / h), and the time. By using this, the "water level threshold value", it is possible to give an early warning that the situations of "start of water level rise", "exceeding the flood warning water level", and "exceeding the flood risk water level" are approaching, or by using the "rainfall threshold value", it is possible to give an early warning that the situation where the cumulative rainfall exceeds the "rainfall threshold value" is approaching, and thus convey the damage caused by rainfall in advance.

[0053] Fig. 3 is a diagram showing an example of the initial screen displayed on the information providing system 100. On the initial screen, a menu bar 20 is displayed on the left side of the screen, a map image 21 is displayed in the center of the screen, and the current status (an image 22 of the water level and flow rate, and an image 23 of the rainfall amount) is displayed on the right side of the screen. The current status shows the current status of all related observation points on the map.

[0054] When the menu bar 20 on the left side of the screen is pressed (clicked or tapped), buttons such as Home, Forecast Rainfall, Inland Flooding, Flood Cycle, Landslide Cycle, Typhoon Information, River Disaster Prevention Information, Up and Down Water Level Monitoring, Alert Management Dashboard, Current Status Monitoring, and Notifications are displayed below the menu bar 20. When each button is pressed, the information corresponding to each button is displayed.

[0055] Home is the button to return to the home screen. Predicted rainfall is the button to display the actual situation and prediction of the rain cloud radar. Inland water flooding, flood alert, landslide alert are the buttons to display the current (real-time) risks. Typhoon information, river disaster prevention information are the buttons to display information related to typhoons and disaster prevention. For upstream and downstream water level monitoring and alert management dashboard, they are buttons to display various screens described later. Current status monitoring can be a button to largely display the current status (image 22 of water level and flow rate, and image 23 of rainfall amount) alone. Note that the current status monitoring can also be a button to switch between the display and non-display of the current status on the right side.

[0056] In the map image 21 at the center of the screen, the map of any location selected by the user can be displayed at any magnification. The background of the map image can be selected from the Geospatial Information Authority of Japan map, aerial photos, etc. Observation station locations, rain cloud radar, river basins, target rivers, etc. can be displayed on the map image 21. Also, water level, rainfall amount, dams, camera positions, etc. can be displayed on the map image 21. The water level, rainfall amount, dams, camera positions can be switched between display and non-display by checkboxes. Also, on the map image 21, it is possible to display a light-colored map or a hazard map, and the transparency of the rain cloud can also be selected by the user. The rainfall amount and water level display the situation of the water level observation points (triangle marks) and rainfall observation points (circle marks) according to the type of color (shading). The radar predicted rainfall amount displays the predicted rainfall amount according to the type of color (shading). The illustrated example shows the current latest information (information at 15:25 on July 25, 2023), but by operating the time conversion bar displayed below the map image 21, past records and future predictions can be displayed. Note that the current time is displayed at the lower right of the map image 21 (15:32 on July 25, 2023).

[0057] In the water level and flow rate image 22 as the current status, as information on the observation points displayed in the map image 21, "distance marker (km)", "value at the reference time (water level, flow rate)", "water level in the previous 1 hour (m / h)", and "water level difference to the disaster prevention standard water level (site 1, flood warning, evacuation judgment, flood danger, flood occurrence)" are displayed. At the in-river construction site, during the dry season, it is often the case that a temporary cutoff dike for construction is provided to prevent river water from entering the work area while carrying out the construction. In such cases, in addition to information such as the flood warning water level, it is necessary to set a reference value for the water level exceeding the temporary cutoff dike for construction and monitor it. Therefore, the user can set an arbitrary value as the water level such as the reference water level exceeding the temporary cutoff dike for construction at an arbitrary point near the water level observation point. In FIG. 3, as an example, the water level difference between the current water level and the reference water level of the temporary cutoff dike at the in-river construction site near the Yokishi observation point is displayed in the column of site 1. Also, when the user installs and observes a water level observation device at an arbitrary point in the river, in addition to the flood danger water level determined by the administration, an arbitrary disaster prevention standard water level can be determined and operated.

[0058] For example, taking the example where the "observation point" is "Taraiki", the "distance marker (km)" is "84.13", the "value at the reference time (water level, flow rate)" is "-0.09, -", the "water level in the previous 1 hour (m / h)" is "horizontal arrow, 0", and the "water level difference to the disaster prevention standard water level (site 1, flood warning, evacuation judgment, flood danger, flood occurrence)" is "-、3.59、3.69、3.79、4.53" are displayed. Note that "-" indicates that there is no information to be displayed.

[0059] Regarding the "water level in the previous 1 hour (m / h)", the horizontal arrow indicates that the water level in the previous 1 hour has not changed, the downward arrow indicates that the water level in the previous 1 hour has decreased, and the upward arrow indicates that the water level in the previous 1 hour has increased.

[0060] In the rainfall image 23 as the current status, as information on the observation points displayed in the map image 21, "value at the reference time (current, cumulative, duration)", "predicted cumulative rainfall (6 hours, 12 hours, 24 hours, 36 hours)" are displayed.

[0061] For example, taking the case where the "observation station" is "field", the "value at the reference time (current, cumulative, duration)" is "0.0, 18.0, 3 hours", and the "predicted cumulative rainfall (6 hours, 12 hours, 24 hours, 36 hours)" is "18.4, 18.4, 18.7, 18.7".

[0062] FIG. 4 is a diagram showing an example of a display of a list of actual rainfall amounts and predicted rainfall amounts that can be displayed on an alert management dashboard. The alert management dashboard has a plurality of functions, and the list shown in FIG. 4 can be displayed by using one of the functions of the alert management dashboard. In the list 30 of actual rainfall amounts and predicted rainfall amounts, "Timeline", "Rainfall", "Water level", and "Remarks" are displayed. In the "Timeline", "Time" and "Response criteria" are displayed. In "Rainfall" and "Water level", the actual observed values and predicted values of the observation points selected by the user are displayed. In "Remarks", "Information source" is displayed. The relationship between the time and the response criteria to be displayed in the timeline column can be arbitrarily set by the user according to the BCP of the corresponding facility. In the example of FIG. 4, since it is assumed to be a construction site within a river area, the response criteria are set as follows: start preparation from 39 hours to 79 hours ahead, consider suspension from 15 hours to 39 hours ahead, start evacuation from 6 hours to 15 hours ahead, and complete evacuation / resume judgment from the current time to 6 hours ahead. The meaning of each response is as follows. When rain exceeding the reference value is predicted from 39 hours to 79 hours ahead, it is a phase of starting preparations such as securing flood control materials as the current BCP action. When rain exceeding the reference value is predicted from 15 hours to 39 hours ahead, it is in a phase of judging whether to suspend the on-site operation the next day or in the future. When rain exceeding the reference value is predicted from 6 hours to 15 hours ahead, it is in a phase of starting the evacuation of workers, construction machinery, vehicles, etc. on the site. When rain exceeding the reference value is predicted from the current time to 6 hours ahead, evacuation should already be completed, and it is in a phase of observing the changes in rainfall and water level and considering the judgment of resuming work. By aligning the relationship between these times and the response criteria with the timeline defined in the BCP of the corresponding facility, the effectiveness of the BCP will be enhanced. In the example of FIG. 4, since it shows an example of a construction site where the actual value and the predicted value of rainfall are acquired and only the actual value of the water level is acquired, no numerical value is entered in the column of the timeline ahead of the current time for the water level. However, by receiving the predicted water level information, the predicted water level at a time ahead of the current time can also be displayed.

[0063] The list 30 of actual rainfall and predicted rainfall can display the maximum value of the predicted rainfall (the value converted to the rainfall for a certain number of hours) according to the time line (ahead by XX hours). Also, in the rainfall column for the rows from +39 hours to +79 hours in the list 30 of actual rainfall and predicted rainfall, the predicted rainfall (the value converted to the rainfall for a certain number of hours) based on the predicted rainfall up to 78 hours ahead (up to 84 hours ahead if the Global Spectral Model (GSM) is used to the maximum extent) by the Japan Meteorological Agency's Mesoscale Numerical Forecast Model (GSM: distributed 4 times a day) is provided (it is possible to consider the schedule 3.25 to 3.5 days ahead). In the rainfall column for the rows from +15 hours to +39 hours, the predicted rainfall (the value converted to the rainfall for a certain number of hours) based on the predicted rainfall up to 39 hours ahead by the Japan Meteorological Agency's Mesoscale Model (MSM: distributed 8 times a day) is provided (the reliability of the prediction is higher than the above because it is the predicted rainfall based on the frequently distributed predicted values). In the rainfall column for the rows from +6 hours to +15 hours, the predicted rainfall (the value converted to the rainfall for a certain number of hours) based on the predicted rainfall up to 15 hours ahead by the Japan Meteorological Agency's Short-Term Rainfall Forecast (distributed every hour, spatial resolution 5 km) is provided (the reliability of the prediction is higher than the above MSM because it is the predicted rainfall based on the frequently distributed predicted values). In the rainfall column for the rows from the current time to +6 hours, the predicted rainfall (the value converted to the rainfall for a certain number of hours) based on the predicted rainfall up to 6 hours ahead by the Japan Meteorological Agency's Short-Term Rainfall Forecast (distributed every 10 minutes, spatial resolution 1 km) is provided (the reliability of the prediction is higher than the above because it is the predicted rainfall based on the frequently distributed and high-resolution predicted values).

[0064] In the list table 30 of actual rainfall and predicted rainfall, if the predicted values of rainfall and water level exceed the reference values (thresholds) arbitrarily set by the user, they are displayed in red (black-filled in the figure), and an alert is issued. In the list table 30 of actual rainfall and predicted rainfall, it is possible to visually and clearly display approximately when the threshold will be exceeded. Note that just displaying the values of hourly rainfall does not show how to respond to damage prediction. Also, in the list table 30 of actual rainfall and predicted rainfall, since the information sources are different according to the time zone, the reliability of the prediction is clearly shown (since the time resolution and spatial resolution of the weather product, which is the information source, are higher closer to the present, generally speaking, the prediction accuracy is high). Also, in the list table 30 of actual rainfall and predicted rainfall, the actual values of rainfall and river water level are also displayed, and the currently issued alerts are listed.

[0065] As shown by arrow A in Figure 4, on the timeline, information from the current day to three days ahead (79 hours later) can be displayed. As shown by arrow B in Figure 4, for rainfall, the rainfall monitoring location can be arbitrarily selected. Also, the rainfall can be monitored as a value converted to the basin-average rainfall. As shown by arrow C in Figure 4, for the water level, the water level monitoring location can be arbitrarily selected.

[0066] As shown by arrow D in Figure 4, when the predicted value exceeds the reference value (threshold), it will be displayed in red. As shown by arrow E in Figure 4, when the predicted value exceeds the reference value (threshold), an alert is issued. The issued alerts are listed in the column of the alerts-in-progress list, and when the corresponding alert number (No1~No3) is pressed, it will shift to the alert tracking screen. As shown by arrow F in Figure 4, there is a "high or low" difference in the reliability of the prediction due to the difference in information sources. The reliability of the prediction is higher closer to the bottom (closer to the present) of the list table, and lower closer to the top of the list table.

[0067] In addition, in the list 30 of actual rainfall and predicted rainfall, the actual value (measured value), the alert list in progress, and the reference value (threshold value) are displayed. For example, taking the example where the "time on the timeline" is from "+39 hours to +79 hours", the "rainfall in the upper reaches of the Mitsukawa River in Iizuka" is "〇〇 mm / 9h", and the "rainfall in Higashi Funabashi (Meteorological Agency)" is "〇〇 mm / 9h", and it is shown in red as the reference value is exceeded. In the illustrated example, the "water levels in the lower reaches of the Mitsukawa River in Iizuka, the Miyama River, and the Ebikawa River" do not display predicted values, but it is also possible to display predicted values in the same way as rainfall (the same applies hereinafter).

[0068] Also, taking the example where the "time on the timeline" is from "+15 hours to +39 hours", the "rainfall in the upper reaches of the Mitsukawa River in Iizuka" is "〇〇 mm / 9h", and the "rainfall in Higashi Funabashi (Meteorological Agency)" is "〇〇 mm / 9h", and it is not shown in red because it does not exceed the reference value. Note that the "(Meteorological Agency)" in the figure is a symbol attached to the observation stations of the Japan Meteorological Agency. Those without the symbol are observation stations of the Ministry of Land, Infrastructure, Transport and Tourism or prefectures. Since there are cases where the names are the same for the Ministry of Land, Infrastructure, Transport and Tourism and the Japan Meteorological Agency, the "(Meteorological Agency)" is attached for distinction.

[0069] Furthermore, taking the example where the "time on the timeline" is from "+6 hours to +15 hours", the "rainfall in the upper reaches of the Mitsukawa River in Iizuka" is "〇〇 mm / 9h, △△ mm / h, □□ mm / 24h", and the "rainfall in Higashi Funabashi (Meteorological Agency)" is "〇〇 mm / 9h, △△ mm / h, □□ mm / 24h", and it is not shown in red because it does not exceed the reference value.

[0070] Also, taking the example where the "time on the timeline" is from "current to +6 hours", the "rainfall in the upper reaches of the Mitsukawa River in Iizuka" is "〇〇 mm / 9h, △△ mm / h, □□ mm / 24h", and the "rainfall in Higashi Funabashi (Meteorological Agency)" is "〇〇 mm / 9h, △△ mm / h, □□ mm / 24h", and it is not shown in red because it does not exceed the reference value.

[0071] In the column of the actual value, the measured values of rainfall and water level are displayed. Specifically, "Rainfall in the upper reaches of the Mitsukawa River in Iizuka, Funabashi East (Atmosphere)" is "〇〇 mm / 9h, △△ mm / h, □□ mm / 24h", and "Water level in the lower reaches of the Mitsukawa River in Iizuka, Miyama River, Ebi River" is "△ m, △ cm, △ m". "Remarks information source" is "Actual observation value (measured value)".

[0072] In the column of the alert list being issued, three alert numbers No1 to No3 are displayed. The alert number is composed of numbers arranged in the order of "AD year, month, day, time" (for example, 202306081200). Note that the date and time of the alert number are the date and time at the timing of issuing the alert.

[0073] In the column of the reference value, the reference values set by the user are displayed. Specifically, "Rainfall in the upper reaches of the Mitsukawa River in Iizuka, Funabashi East (Atmosphere)" is "High frequency 1 / 10 50.4 mm / h, 163 mm / 24h, Project scale 1 / 50 221 mm / 9h, Assumed maximum 1 / 1,000 516 mm / 9h", "Water level in the lower reaches of the Mitsukawa River in Iizuka, Miyama River" is "〇〇 m overflow water level, 〇〇 cm overflow water level", and "Water level in the Ebi River" is "Flood control group standby water level 〇〇 m, Flood warning water level 〇〇 m, Flood danger water level 〇〇 m, Planned high water level 〇〇 m".

[0074] "Red display" indicates the flood risk degree according to the time series, and represents that the rainfall exceeding the reference value is predicted for "Time on the timeline" from "Current to +79 hours". By setting the rainfall amount (for example, the rainfall amount of the assumed maximum scale / planned scale) that is the prerequisite for the hazard map as the reference value, the user can quote and display the predicted flood level (such as the flood range and flood depth obtained by prior analysis) corresponding to that rainfall amount from the hazard map. Also, when independently conducting a flood analysis, set the rainfall amount set as the input value of the flood analysis as the reference value, and the corresponding analysis result can be used as the predicted flood level for display. The predicted flood level can be displayed step by step corresponding to the predicted rainfall amount (the value converted to the rainfall amount for ○○ hours), for example, as shown in Fig. 10. Regarding the "Water level" when the "Time on the timeline" is from "Current to +79 hours", although specific values are not shown on the drawing, specific values can also be displayed if there is information on the predicted water level.

[0075] Fig. 5 is a diagram showing an example of the display of a continuous rainfall graph (predicted) that can be displayed on the alert management dashboard. The graph shown in Fig. 5 can be displayed using one of the functions of the alert management dashboard. As shown in Fig. 5(A), in the graph of the upper reaches of the Mitsukawa River in Iiyama, it is predicted that the continuous rainfall will exceed Level 1 (○○ mm / 9h) at around the stage when 49 hours have passed since the current time. In this case, the first alert is issued. The alert number of the first alert is "202306081200". Also, in the graph of the upper reaches of the Mitsukawa River in Iiyama, it is predicted that the continuous rainfall will exceed Level 2 (221 mm / 9h) at around the stage when 51 hours have passed since the current time. In this case, the second alert is issued. The alert number of the second alert is "202306081340".

[0076] As shown in Fig. 5(B), in the graph of Funabashi Higashi (Atmosphere), it is predicted that the continuous rainfall will exceed Level 1 (○○ mm / 9h) at around the stage when 50 hours have elapsed from now. In this case, an alert is issued. The alert number of the alert is "202306081300". The graph shown in Fig. 5 can also be displayed on one screen together with the list 30 of the actual rainfall and predicted rainfall shown in Fig. 4.

[0077] Fig. 6 is a diagram for explaining the continuous rainfall graph (predicted) that can be displayed on the alert management dashboard. The graph shown in Fig. 6 can be displayed by using one function of the alert management dashboard. As shown by arrow A in Fig. 6(A), the continuous rainfall graph (predicted) that can be displayed on the alert management dashboard is automatically calculated by the information providing system 100 (control unit 11) based on the predicted rainfall (mm / h). Specifically, the information providing system 100 (control unit 11) automatically calculates the value of "rainfall per hour" to "continuous rainfall for 〇〇 hours" at the backend and displays it. The aggregation time of the continuous rainfall can be set arbitrarily (for example, 9 hours for River A, 13 hours for River B, etc.). Levels 1 to 3 are thresholds for issuing alerts, and both the value of the level and the number of levels can be set arbitrarily by the user.

[0078] Fig. 6(B) shows the reliability of the forecast. Such a screen can be displayed as an explanation for the user. The predicted rainfall is calculated using "every 10 minutes, resolution = 1 km" of the "Japan Meteorological Agency's short-term precipitation forecast" until 6 hours from now. The predicted rainfall is calculated using "every 1 hour, resolution = 5 km" of the "Japan Meteorological Agency's short-term precipitation forecast" from 6 hours later to 15 hours later. The predicted rainfall is calculated using "8 times a day @ 3h, resolution = 5 km" of the "Japan Meteorological Agency's mesoscale numerical forecast model GPV (MSM)" from 15 hours later to 39 hours later. After 39 hours, the predicted rainfall is calculated using "4 times a day @ 6h, resolution = 10 km" of the "Japan Meteorological Agency's global numerical forecast model GPV (GSM)". The reliability of the forecast is higher in the upper part and lower in the lower part of Fig. 6(B). Therefore, for the predicted rainfall as well, the closer to the present, the higher the reliability of the predicted rainfall.

[0079] FIG. 7 is a diagram showing an example of a display of an alert tracking screen that can be displayed on an alert management dashboard. The alert tracking screen shown in FIG. 7 can be displayed by using one function of the alert management dashboard. When the alert number "202306081200" in the column of the active alert list is pressed while the list 30 of the actual rainfall amount and the predicted rainfall amount shown in FIG. 4 is being displayed (see arrow No1 in FIG. 4), the screen shown in FIG. 7 is displayed.

[0080] On the screen shown in FIG. 7, the predicted rainfall amount L1 at 5:00 on 6 / 10, the predicted rainfall amount L2 at 11:00 on 6 / 10, and the predicted rainfall amount L3 at 17:00 on 6 / 10 are displayed. When comparing the predicted rainfall amount L1 at 5:00 on 6 / 10 and the predicted rainfall amount L2 at 11:00 on 6 / 10, it can be seen that the rainfall amount has decreased and the rainfall start time has become later. Also, when comparing the predicted rainfall amount L2 at 11:00 on 6 / 10 and the predicted rainfall amount L3 at 17:00 on 6 / 10, it can be seen that the rainfall amount has decreased and the rainfall start time has become earlier. And as a result (actual rainfall amount), it can be seen that "although the rainfall amount has decreased significantly from the initial prediction, rain exceeding the reference value has been observed, and the rainfall duration has been longer than the initial prediction." Although the predicted value of the rainfall amount changes over time, by continuously referring to the information shown in FIG. 7, it is possible to monitor how the current weather forecast has changed with respect to the initially issued alert, or whether the actually falling rain tends to be as predicted at the time of alert issuance, etc., based on the latest predicted rainfall amount value.

[0081] FIG. 8 is a diagram showing an example of acquired data. The acquisition unit 10 acquires the data (1) to (6) shown in FIG. 8, and the control unit 11 executes arithmetic processing for display on various images based on the acquired data. The data (1) to (6) shown in FIG. 8 are meteorological data and river data acquired by the acquisition unit 10.

[0082] "(1) Rainfall data" includes data related to "Global Numerical Weather Prediction Model GPV (GSM)", "Mesoscale Numerical Weather Prediction Model GPV (MSM)", "High-Resolution Precipitation Nowcast", and "Short-Term Precipitation Forecast". The "Source (data provider)" is the "Japan Meteorological Agency".

[0083] "(2) Data of hydrological observation stations, etc." includes data related to "telemetered rainfall", "telemetered water level", and "river monitoring camera images". The "Source" is "Rainfall: Ministry of Land, Infrastructure, Transport and Tourism; Water level: Ministry of Land, Infrastructure, Transport and Tourism, prefectures, cities; Camera: Ministry of Land, Infrastructure, Transport and Tourism, prefectures, cities".

[0084] "(3) Information released by the Japan Meteorological Agency" includes data related to "advisory and warning information", "landslide disaster warning information", and "record-breaking short-term heavy rain information". The "Source" is the "Japan Meteorological Agency".

[0085] "(4) Small and medium river flood prediction information" includes data related to "prediction results by the inland water risk prediction model". The "Source" is "RisKma (registered trademark, Construction Technology Research Institute Co., Ltd.)".

[0086] "(5) Landslide alert" includes data related to "prediction results by the landslide disaster warning judgment model". The "Source" is the "Japan Meteorological Agency".

[0087] "(6) Flood alert" includes data related to "prediction results by the basin rainfall index". The "Source" is the "Japan Meteorological Agency".

[0088] Figure 9 is a diagram showing an example display of a flood assumption hazard map. The flood assumption hazard map shown in Figure 9 can be displayed using one of the functions of the alert management dashboard. The display example in Figure 9 shows an example of a construction site under construction, and displays a plurality of scenarios (flood simulation results according to terrain and rainfall level) according to the rainfall level before and after the construction work. The plurality of scenarios can be divided into "current situation" simulated with the terrain before the construction work and "after construction" simulated with the terrain model after the completion of the construction work. For the "current situation" and "after construction", simulations for three cases each are pre - implemented by dividing the rainfall levels input into the simulations into "assumed maximum scale (1 / 1,000 years), total rainfall in 9 hours of 516 mm", "planned scale (1 / 50 years), total rainfall in 9 hours of 221 mm", and "high - frequency scale (1 / 10 years)", and the results of each case can be displayed.

[0089] In the flood assumption hazard map, damage predictions can be displayed step - by - step for predicted / real - time rainfall data. Also, on the right side of the screen, "water depths assumed in case of flooding" are color - coded and shown as a legend in "~0.5m, 0.5m~3.0m, 3.0m~5.0m, 5.0m~". By associating this color - coding with the hazard map, an intuitive and easy - to - understand display can be achieved.

[0090] Figure 10 is a diagram showing an example display of damage prediction based on predicted / real - time rainfall data. The flood assumption hazard map shown in Figure 10 can be displayed using one of the functions of the alert management dashboard. In Figure 10, the continuous rainfall graph in Figure 5 and the hazard map in Figure 9 are combined and displayed. For example, in the continuous rainfall graph shown in Figure 10(B), based on the predicted rainfall (mm / h), the information - providing system 100 (control unit 11) automatically calculates the continuous rainfall, and the 9 - hour rainfall (predicted / actual) is displayed based on the calculation result.

[0091] Figure 10 can visually display the predicted inundation level at that point by clicking on the time period when rainfall exceeding the reference value is predicted on the continuous rainfall graph of Figure 5 to display the hazard map corresponding to the predicted rainfall amount. Also, the same operation can be performed from the alert tracking screen of Figure 7, providing visualization of the predicted inundation level for the predicted rainfall with just one click for users monitoring the damage situation for the alert. Also, the predicted inundation level can be the hazard map shown in Figure 10. In the list 30 of the actual rainfall amount and predicted rainfall amount in Figure 4, by looking at the column of the part indicated by arrow B in Figure 4 and comparing the value of the predicted rainfall amount at the current time with the reference value, it becomes possible to tell whether the predicted rainfall amount corresponds to "high frequency", "planned scale", or "assumed maximum scale" in Figure 9.

[0092] And it is assumed that three alerts, No1, No2, and No3, are issued based on the 9-hour rainfall amount. In this case, predicted data predicting inundation damage is generated and displayed on the map. The inundation damage can be predicted by comparing the data of past inundation damage with the predicted 9-hour rainfall amount. Specifically, due to the first alert No1, the damage assumption when reaching level 1: 〇〇mm / 9h is displayed on the hazard map (on the map) on the left side of Figure 10(A). Also, due to the second alert No2, the damage assumption when reaching level 2: 221mm / 9h is displayed on the hazard map (on the map) in the center of Figure 10(A). Furthermore, due to the third alert No3, the damage assumption when reaching level 3: 516mm / 9h is displayed on the hazard map (on the map) on the right side of Figure 10(A). And such a display can also be made for the situation after construction (when levees, etc. are strengthened) shown in Figure 10(C) in the same way as Figure 10(A).

[0093] FIG. 11 is a diagram conceptually showing the transition of predicted rainfall and actual rainfall over time created to supplement the description of the alert tracking screen in FIG. 7. In the figure, the predicted rainfall is indicated by a dotted line, and the measured rainfall is indicated by a solid line. In the example of FIG. 11, it represents a situation where the predicted rainfall gradually changes from point (A) to point (D). FIG. 7 superimposes and displays the rainfall prediction (dotted line in FIG. 11) at the times of FIG. 11(A), (B), (C) and the actual rainfall up to the time of FIG. 11(D). By displaying such information in a unified manner in FIG. 7, for each alert issued based on the predicted rainfall, it is listed and displayed so that the actual measured rainfall with respect to the predicted rainfall can be tracked and completed. In the alert tracking screen (FIG. 7), since data of the past, present, and future (prediction) are displayed on the screen, it is possible to easily track and verify the passage of time.

[0094] As shown in FIG. 11(A), the predicted rainfall for XX hours is displayed. In this prediction, it is predicted that the predicted rainfall will exceed the reference value 12 hours later, and Alert No. 1 has also been issued.

[0095] As shown in FIG. 11(B), assume that 12 hours have passed since the stage of FIG. 11(A) and it has reached the target time of Alert No. 1. However, the measured rainfall does not exceed the reference value (threshold). This suggests that "although it is later than the initial prediction, continued vigilance is still necessary". Also, the predicted rainfall is "predicted that heavy rain will fall again after once subsiding".

[0096] As shown in FIG. 11(C), assume that several hours have passed since the stage of FIG. 11(B) and the measured rainfall has exceeded the reference value (threshold). At the current time of FIG. 11(C), "heavy rain actually exceeding the threshold has been observed".

[0097] As shown in FIG. 11(D), it is assumed that several hours have elapsed since the stage of FIG. 11(C) and the rainfall has stopped. In this case, the information providing system 100 records until the time when the rainfall has stopped (stores it in the data storage unit 15), and the processing of one alert is completed. Note that it is desirable to save the predicted rainfall graph and the actual rainfall graph at arbitrary timings (for example, once an hour, at the time of prediction, at the time of obtaining the actual rainfall, etc.).

[0098] FIG. 12 is a diagram showing a first display example of a river water level display screen. There are a plurality of functions for upstream and downstream water level monitoring, and the first display example shown in FIG. 12 can be displayed using one of the functions of upstream and downstream water level monitoring. In the first display example of the river water level display screen, a map image 40 is displayed on the left side, and a graph image 41 (first graph) is displayed on the right side. In the illustrated example, the user uses the map image 40 to select two observation points, "Wata" and "Yokishi". Then, in the graph image 41 on the right side, the graphs of the selected observation points are superimposed and displayed.

[0099] Also, a slider 42 is displayed below the graph image 41 on the right side. By moving the slider 42 left and right, the water level over a long period can be continuously confirmed. Furthermore, if there is a predicted water level, the prediction 78 hours ahead can also be confirmed. Note that in the graph image 41 on the right side, the river cross-section of one observation point is displayed, and the height of the levee and the rising condition of the water level can be visually confirmed.

[0100] FIG. 13 is a diagram showing a second display example of a river water level display screen. The second display example shown in FIG. 13 can be displayed using one function of upstream and downstream water level monitoring. In the second display example of the river water level display screen, a map image 50 is displayed on the left side, and a graph image 51 (second graph) is displayed on the right side. In the illustrated example, the user is using the map image 50 to select six observation points: "Taraogi", "Kazutake", "Hitoyoshi", "Wata", "Ono", and "Yokishi". Then, a graph image 51 is generated and displayed in which graphs of a plurality of observation points (six observation points) regarding river data are arranged in order from the upstream to the downstream of the river according to the distance from the estuary. In the graph image 51 on the right side, a hydrograph and a hyetograph aware of the time line can be displayed in order from the upstream.

[0101] Also, below the graph image 51 on the right side, a slider 52 is displayed in the same manner as in FIG. 12, and by moving the slider 52 left and right, the water level over a long period can be continuously confirmed.

[0102] Furthermore, when one line on the graph is pressed, the peak or rise of the graph can be specified, and a gradient graph (prediction line PL) can be drawn. That is, a gradient graph (prediction line PL) for predicting the rise of the river water level from the peak of each graph of the graph image 51 can also be generated and displayed. Also, regarding the prediction of the rise of the water level, past flood data can also be referred to. Furthermore, the gradient graph of past floods can also be overlaid on the current data. In the graph image 51 on the right side, the selected observation points can be expanded, and when expanded, the hydrographs can be arranged and displayed with the interval according to the distance as the vertical axis.

[0103] FIG. 14 is a diagram showing an example of a display of a BCP timeline for utilization in the process management of a construction site based on long-term rainfall forecast values. The display example shown in FIG. 14 can be displayed by a user inputting a process schedule of the construction site and utilizing one function of upstream and downstream water level monitoring. Note that although FIG. 14 uses a construction site as an example, it can also be applied to a BCP timeline such as the operation management of a factory according to the business type and situation of the target base. In the information providing system 100, such a graph can also be displayed. In the graph of FIG. 14, the bar graph represents the actual value (dark color) and the predicted value (light color) of the hourly rainfall, and the line graph represents the continuous rainfall and the cumulative rainfall obtained by calculation in the backend based on the hourly rainfall. The line graph in the middle graph represents the predicted value of the continuous rainfall for XX hours (13-hour rainfall in the example of the figure). The line graph in the lower graph represents the cumulative rainfall since the start of rainfall. Note that since the lower graph is displayed for reference, it may not be displayed if it is not necessary for alert management. The ◆ (black slanted square mark) in the middle graph represents the actual value of the past river water level corresponding to the predicted value of the 13-hour continuous rainfall, and it accumulates by archiving the actual rainfall and water level / discharge data. The balloon described in ◆ in the figure represents, for example, the river water level or discharge observed at the water level observation point of interest when a continuous rainfall of 50 mm / 13 hours was observed in the past. Even for the same rainfall of 50 mm / 13 hours, the response of the river water level / discharge differs depending on the operation of the dam or weir on the upstream side, so there is a range in the generally observed water level / discharge. Therefore, this range of the actual water level represents the range of the river water level / discharge that can be expected when a rainfall of 50 mm / 13 hours occurs.

[0104] In the top row of the graph, "Process Schedule" is displayed, and it can be seen that the operations of "Formwork" and "Material Handling" are planned to be carried out on "4 / 13 (Thu)", the operations of "Concrete Placement" and "Revetment Work" are planned to be carried out on "4 / 14 (Fri)", and the operation of "Machine Removal" is planned to be carried out on "4 / 15 (Sat)". Such a "Process Schedule" can be set by the user.

[0105] Then, by predicting the "hourly rainfall (mm / h)" and "13-hour rainfall (mm / 13h)" of any observation station or "basin average" in the middle graph and comparing them with the water level reference value, the range of actual river water levels relative to the predicted rainfall can be monitored, allowing for a qualitative assessment of when flooding is likely to occur and whether it is predicted to have an impact on the process, providing information that is useful for considering whether to suspend work or make evacuation decisions. Note that with regard to river management, some rivers are managed by water level, while others are managed by flow rate. For this reason, the vertical axis on the right of the graph indicates either water level (m) or flow rate (m 3 ) At least one of the water level and the flow rate can be used. For example, when managing by water level, the water level reference value can be compared with the actual river water level value, and when managing by flow rate, the flow rate reference value (not shown) can be compared with the actual river flow rate value.

[0106] As with the middle graph, the bottom graph also allows you to take measures against floods by predicting the "hourly rainfall (mm / h)" and "cumulative rainfall (mm)" of any observation station or "basin average" and comparing them with water level reference values, etc.

[0107] Furthermore, this graph can also display past flood data corresponding to the predicted rainfall. For example, the range of actual water levels and flow rates when it rained 50mm / 13 hours in the past is shown by a vertical line connecting the maximum and minimum values, and by clicking on each point (◆) of actual water levels and flow rates, the hydrograph from that time can be displayed.

[0108] 12 to 14, a GUI can be provided that enables intuitive water level prediction without performing complex analysis, etc. In this case, the data storage unit 15, the GUI of the river water level display screen, and the GUI of the rainfall amount display screen can have the following specifications.

[0109] [Data storage section] The data storage unit 15 is a database that stores river flow condition data such as past actual water levels and flow rates, etc., and actual rainfall data as a time-series table in a form that allows comparison. The data storage unit 15 can accumulate river flow condition data such as past actual water levels and flow rates, etc., and actual rainfall data in real time. The data storage unit 15 can automatically search for river water levels, flow rates, etc. that correspond to the predicted rainfall values input to the information provision system 100, and display them on the display unit 12.

[0110] [River water level display screen GUI (Figures 12 and 13)] On the river water level display screen, you can easily search for flood records for specified water levels and discharges. Hydrographs (discharge (water level)-time graphs) of specified water level observation stations can be displayed in parallel at intervals according to distance. Users can freely add water level observation stations to be displayed in parallel.

[0111] When a peak or rise point (for example, the apex of the graph) is specified on the hydrograph, a distance-time gradient line is automatically drawn and can be saved in the data storage unit 15. By overlaying and displaying the real-time hydrograph and the pre-saved distance-time gradient line, when a peak or rise appears at an upstream observation station, it becomes possible to visually estimate the peak arrival time or rise (flood start) time at the observation station of interest based on past performance.

[0112] [Rainfall display screen GUI (Figure 14)] On the rainfall display screen, the predicted rainfall up to several tens of hours (maximum 78 hours) ahead can be displayed as the information received in real time. The information providing system 100 automatically calculates the cumulative rainfall for the specified time (e.g., 1-hour rainfall, 12-hour rainfall, 13-hour rainfall, 36-hour rainfall, etc.). The actual and predicted values of the cumulative rainfall can be color-coded and displayed as a seamless time-series graph in real time. When the predicted rainfall is provided as a recommended value, minimum value, maximum value, etc., it may be displayed as a value with a certain width rather than a single value. A slider is displayed on the display screen, and it is possible to continuously check from past actual results to future predictions. On the rainfall graph, the values of past water levels and flows corresponding to the predicted rainfall automatically retrieved from the database are plotted, and by clicking on each plot, detailed data such as the hydrograph of past floods can be viewed.

[0113] Figure 15 is a flowchart showing the flow of system processing executed by the information providing system 100. Step S10: The information providing system 100 executes an acquisition process. In the acquisition process, the processes executed by the above-described acquisition unit 10 are executed. Step S20: The information providing system 100 executes a control process. In the control process, the processes executed by the above-described control unit 11 are executed. Step S30: The information providing system 100 executes a display process. In the display process, the processes executed by the above-described display unit 12 are executed.

[0114] Step S40: The information providing system 100 executes an input process. In the input process, the processes executed by the above-described input unit 13 are executed. Step S50: The information providing system 100 executes an alarm issuing process. In the alarm issuing process, the processes executed by the above-described alarm issuing unit 14 are executed. Step S60: The information providing system 100 executes a data storage process. In the data storage process, the processes executed by the above-described data storage unit 15 are executed.

[0115] Step S70: The information providing system 100 executes other processes. The other processes are processes other than Steps S10 to S60, and execute processes necessary for the information providing system 100 (for example, basic system processes, processes related to RisKma, GIS processes, etc.).

[0116] Then, the processes of Steps S10 to S70 are executed in order from the top. When the process of Step S70 is executed, a series of processes is once completed. However, when a predetermined opportunity (an opportunity to repeatedly execute these processes or an opportunity to execute only a specific process) occurs, the processes of Steps S10 to S70 are repeatedly executed, or only a specific process is executed.

[0117] As described above, according to the present embodiment, there are the following effects. (1) According to the present embodiment, since the processed data obtained by processing the meteorological data and the river data into a necessary form is displayed, it is possible to provide information that is easier for the user to use compared to a method of directly displaying the meteorological data and the river data. Further, according to the present embodiment, since a threshold value can be set to issue an alarm, the user can freely adjust the timing of issuing the alarm, and a system that is easier for the user to use can be provided. (2) According to the present embodiment, since the meteorological data and the river data observed in the past, that is, the records (archives) of the observation data results are stored, not only the current data but also the past data can be traced back and confirmed, and information useful for qualitative prediction based on the past results can be provided in a visually easy-to-understand form.

[0118] (3) According to the present embodiment, by displaying the current flood damage prediction based on the real-time data on the map, the flood damage can be intuitively grasped. (4) According to the present embodiment, since the auxiliary data is displayed, various judgment materials for flood disasters can be provided to the user.

[0119] (5) According to this embodiment, since the auxiliary data can be displayed on one screen, just by looking at that screen, it is possible to immediately understand the risk of flooding occurrence during the period when the prediction data is being acquired from now on. (6) According to this embodiment, it is possible to issue an alarm by narrowing down to important items such as predicted rainfall or predicted water level.

[0120] (7) According to this embodiment, by setting a plurality of threshold values and listing the exceedance of the threshold values, it is possible to enhance the scalability of the system and the ease of verification by the user. (8) According to this embodiment, by displaying a comparison graph that compares the predicted rainfall and the actual rainfall, it is possible to verify the accuracy of the predicted rainfall.

[0121] (9) According to this embodiment, in order to display the first graph in which graphs of a plurality of observation points regarding river data are superimposed, it becomes easy to compare a plurality of observation points, and the convenience can also be improved. (10) According to this embodiment, in order to display the second graph and the prediction line PL, by arranging the observation points according to the distance and displaying them, it is possible to intuitively imagine the water level peak on the downstream side.

[0122] (11) The following are exemplary problems. (a) Information related to flood risk covers a wide range, such as river water level, current weather, weather forecast, etc. In order to obtain the necessary information at the location of interest, it is necessary to browse and organize a plurality of information providing sites. (b) Conventional damage prediction information such as a hazard map is static two-dimensional drawing information, but based on the real-time data to be distributed, it is desired to clearly display in 2D and 3D the scale of flood damage predicted at that time (the planar range where flooding reaches, the depth of flooding, etc.). (c) In the information of warnings and advisories issued over a wide area, the degree of danger of the base point to be focused on is not necessarily reflected, and it may be difficult to regard the issuance of warnings etc. as one's own matter. (d) There is no method for assisting the user's response to the alarm issued when the planned rainfall is exceeded and for tracking and monitoring.

[0123] In order to solve this exemplary problem, the present embodiment employs the following solution. (a) Provide a dashboard system that displays multiple pieces of information related to flood risk on a map and allows for centralized viewing. Provide an information provision system that processes weather forecast data delivered in real time into the required format on the backend, displays it on the dashboard, and issues an alert when a threshold is exceeded. (b) A GUI is provided that makes it easier to intuitively grasp damage predictions by displaying in 2D and 3D the scale of flood damage (planar area of flooding, flood depth, etc.) that is predicted to occur when cumulative rainfall exceeds the planned rainfall amount as predicted. (c) Flood-related information specific to the base of interest is displayed on one screen. A GUI is provided that allows users to intuitively grasp the flood risk level, predicted flood level, and prediction reliability (information source) according to a timeline on one screen. (d) Provide a GUI to assist users in responding to individual alerts and in tracking and monitoring.

[0124] By adopting such a solution, the following effects are achieved. It is possible to centrally manage flood risk-related information related to a target base in a single, one-stop system. By providing and displaying data that has been calculated and processed in the backend in a form that can be compared with the base's flood simulation conditions, quantitative flood risk assessment based on weather forecast data can be performed in real time. By utilizing meteorological products such as global weather forecast models, flood alerts can be issued at an earlier stage than wide-area warnings or advisories. By enabling chronological tracking monitoring even after an alert is issued, it is possible to evaluate based on real-time data whether flood risk is increasing as predicted, making alert management easier.

[0125] The present invention can be variously modified and implemented without being restricted by the above-described embodiments. (1) The numerical values shown in each figure are merely examples. Also, the blank portions in each figure are either portions where numerical values cannot be displayed or portions where numerical values can be displayed but are omitted. (2) The processing data may be only data based on meteorological data, may be only data based on river data, or may be data based on meteorological data and river data.

[0126] (3) The auxiliary data may be only the inundation risk degree according to the time series, may be only the predicted inundation level, may be only the prediction reliability, or may include at least one of these. (4) The auxiliary data (the inundation risk degree according to the time series, the predicted inundation level, the prediction reliability) may not be displayed on one screen.

[0127] Note that the present invention is not limited to rivers and can also be applied to the management of inflow amounts in dams, lakes, water storage tanks (for example, flood control facilities, the Metropolitan Area Outer Underground Discharge Channel), etc.

Explanation of Signs

[0128] 10 Acquisition Unit 11 Control Unit 12 Display Unit 13 Input Unit 14 Alarm Issuing Unit 15 Data Storage Unit 20 Menu Bar 21 Map Image 22 Water Level / Flow Rate Image 23 Rainfall Image 30 List of Actual Rainfall and Predicted Rainfall 40, 50 Map Image 41, 51 Graph Image 42, 52 Slider 100 Information Provision System 101, 102 Terminal

Claims

1. An acquisition means for acquiring real-time weather data and river data; A control means for generating processed data obtained by processing the weather data and the river data acquired by the acquisition means into a required form by a predetermined arithmetic process; A display means for displaying the processed data generated by the control means; An input means capable of setting thresholds for the weather data and the river data; An alarm issuing means for issuing an alarm based on the processed data and the threshold; An information providing system comprising the above.

2. The information providing system according to claim 1, characterized by comprising a data storage means for storing the weather data and the river data observed in the past.

3. The information providing system according to claim 1, wherein the control means generates prediction data predicting current flood damage based on the weather data and the river data acquired by the acquisition means, and the display means displays the prediction data generated by the control means on a map.

4. The information providing system according to claim 1, wherein the control means generates auxiliary data including at least one of flood risk, predicted flood level, and prediction reliability according to time series, and the display means displays the auxiliary data generated by the control means.

5. The information providing system according to claim 4, wherein the auxiliary data is displayed on one screen.

6. The information providing system according to claim 1, wherein the processed data includes information on at least one of predicted rainfall and predicted water level, and the alarm issuing means issues an alarm when the predicted rainfall or the predicted water level exceeds the threshold.

7. The information providing system according to claim 6, wherein a plurality of values can be set for the threshold, the alarm issuing means issues an alarm every time the predicted rainfall or the predicted water level exceeds any one of the plurality of thresholds, and the display means displays the alarms issued by the alarm issuing means in a list.

8. The information providing system according to claim 6, wherein the control means generates a comparison graph comparing the predicted rainfall and the actual rainfall. The information providing system is characterized in that the display means displays the comparison graph generated by the control means.

9. In the information providing system according to claim 1, the control means generates a first graph in which graphs of a plurality of observation points related to the river data are superimposed, the information providing system is characterized in that the display means displays the first graph generated by the control means.

10. In the information providing system according to claim 1, the control means generates a second graph in which graphs of a plurality of observation points related to the river data are arranged in order according to the distance from the estuary from the upstream to the downstream of the river, and generates a prediction line for predicting the rise in the river water level from the peak of the second graph, the information providing system is characterized in that the display means displays the second graph and the prediction line generated by the control means.

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