JP2001325686A - Method and system for processing disaster prevention information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically estimate a damage scale and then to automatically calculate the resource quantity necessary for the purpose of dealing with the disasters that occur frequently and simultaneously. SOLUTION: A disaster scale estimation system 25 measures the scale of each occurred disaster as the physical value from the infrared image information on the disaster site which are collected by an information collection system 23 and other information such as various image information. When the disasters occur frequently and simultaneously, the damage value is measured at each disaster point. A necessary resource quantity calculation system 27 starts a simulation system 33 to calculate the resource quantity necessary for the purpose of calming down the disasters in response to the disaster value that is estimated by the system 25. A resource allocation system 29 calculates the overs and shorts of resources from the resource value which is already prepared at each disaster point and the resource value calculated by the system 27 and decides the allocation of resources to supply the extra resources to the disaster points having their deficient resources.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a disaster prevention information processing method and system.

[0002]

2. Description of the Related Art Conventionally, in order to cope with various disasters, a system provided for a permanent agency such as a fire department or a disaster countermeasure headquarters (hereinafter referred to as a headquarters) installed whenever a disaster occurs as shown in FIG. There is known a disaster prevention information processing system including a command base system 1, a vehicle dynamics management system 3, and a disaster information collection system 5. Command stand system 1
Based on a telephone call from the disaster site or the like to the headquarters, it gives instructions to emergency vehicles or personnel (members) as vehicles for participating in the disaster site, manages cases, and the like. Vehicle dynamics management system 3
An in-vehicle terminal such as an emergency vehicle and an information processing terminal at the headquarters are connected by a digital wireless line, and information is exchanged bidirectionally between the in-vehicle terminal and the information processing terminal. The disaster information collection system 5 includes a system for collecting moving image information captured by a camera mounted on a helicopter (Heri Tele), a system for collecting image information captured by a high-altitude camera, a system for collecting aerial photograph information, Includes a system for collecting satellite image information.

[0003]

However, since the above-mentioned conventional disaster prevention information processing system is designed to cope with a normal disaster, the acquired information is collected at the headquarters, and disaster information stationed at the headquarters is collected. It has a function of displaying the countermeasure manager in an easy-to-understand manner and a function of accurately and promptly transmitting an instruction issued by the manager to a disaster site or the like. However, in order to appropriately cope with various types of disasters, in addition to the functions described above, a function of appropriately allocating resources (resources) for coping with disasters such as emergency vehicles and members according to the situation at the disaster site and the like. Although this is indispensable, at present, this assignment function is not provided in the above system. Therefore, based on the information collected at the headquarters by the responsible person, it is necessary to make quick and accurate judgments and allocate resources. In this case, a skilled person can empirically estimate the damage scale and assign necessary resources to a relatively small disaster.

[0004] However, in the case of a disaster such as the Great Hanshin-Awaji Earthquake, which is particularly large and has never been experienced in the past,
Since the above-mentioned system adopts a one-report one-case method in which case processing is performed for one report, fire-fighting activities are performed independently at each fire department, for example. As a result, for example, just because the fire department was notified early,
Limited resources (fire trucks and firefighters) will be invested in disasters that cause only minor damage, and resources can be invested in severe disasters that have been reported late. Disappears. In other words, in the above system, it is difficult to allocate resources appropriately and promptly in view of the whole disaster, and it is difficult to efficiently allocate resources to a disaster having a scale exceeding the resources on hand. In addition, there is a problem that it is not possible to automatically estimate a damage scale and quickly and appropriately allocate resources on hand to a simultaneous disaster.

[0005] In recent years, since it has become possible to collect experimental data and establish a physical model under limited conditions for individual disasters, it has become possible to calculate the effect of inputting resources. It has become possible to draft a resource allocation plan for each disaster in advance. But,
Since it was not assumed that the collection of experimental data and the calculation of the resource input effect for disasters that could occur at multiple points were not assumed, it was not possible to plan in advance the appropriate allocation of resources for disasters that could occur at multiple points. There was also a problem.

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to automatically estimate the scale of damage for simultaneous multiple disasters and automatically calculate the amount of resources required to deal with the disaster. .

Another object of the present invention is to make it possible to quickly and properly allocate resources on hand according to the automatically calculated required resource amount for simultaneous multiple disasters. is there.

Another object of the present invention is to make it possible to plan an appropriate resource allocation plan in advance for a disaster that can occur at multiple points.

[0009]

A disaster prevention information processing system according to a first aspect of the present invention includes a means for collecting various information relating to a disaster site, and a disaster generated based on the collected information about the disaster site. Means for measuring the scale of the physical quantity as a physical quantity, means for predicting the spread of damage based on the measured physical quantity, and calculating the required amount of resources for coping with the disaster according to the predicted damage spread Means.

In a preferred embodiment according to the first aspect of the present invention, based on the information on the deployment status of the resources included in the above-mentioned various information and the required amount of the resources, the resources allocated to the disaster site are determined. Means for determining the amount are further provided. The various information described above includes map image information on which image information of a disaster site is superimposed. When the disaster is a simultaneous multiple disaster, physical quantities indicating the scale of the disaster are measured for all disaster occurrence points, and the spread of damage is predicted based on the measured values.

Further, the calculation of the required amount of resources is to calculate the amount of resources capable of calming the disaster based on a simulation using the prediction of the spread of damage. Regarding the allocation of the resource amount, when an excess or deficiency occurs by comparing the resource amount already deployed at the disaster site with the calculated resource amount required at the disaster site,
It is determined based on the excess or deficiency.

When the resources required at the disaster site are insufficient as a whole, the resources to be deployed to each disaster occurrence point are allocated according to the priority set for each disaster occurrence point. . In this case, the resources may be allocated so that the resources are evenly distributed to all the disaster occurrence points, or the above-mentioned is applied to all the remaining disaster occurrence points except the disaster occurrence point having the smallest disaster scale. Resource allocation can also be performed so that resources are deployed.

[0013] A disaster prevention information processing method according to a second aspect of the present invention comprises a first step of collecting various information relating to a disaster site;
A second process of measuring the scale of the disaster that occurred as a physical quantity based on the collected information on the disaster site, and a third process of predicting the spread of damage based on the measured physical quantity.
And a fourth step of calculating a necessary amount of resources for coping with the disaster according to the predicted spread of damage.

[0014] A computer program product according to a third aspect of the present invention is a computer program product for collecting information related to a disaster site.
And a second step of measuring the scale of the disaster as a physical quantity based on the collected information on the disaster site, and a third step of predicting the spread of damage based on the measured physical quantity. A computer program for causing a computer to execute a disaster prevention information processing method including a process and a fourth process of calculating a necessary amount of resources for coping with the disaster according to the predicted damage spread.

[0015]

Embodiments of the present invention will be described below in detail with reference to the drawings.

FIG. 2 is a block diagram showing the overall configuration of the disaster prevention information processing system according to one embodiment of the present invention.

As shown in FIG. 2, the system includes a simulator 21, an information collecting system 23, a disaster scale estimating system 25, and a required resource calculating system 27.
And a resource allocation system 29. The system further includes a result display interface (interface) 31 and a disaster damage prediction simulation system (simulation system) 33 in addition to the above components.

The simulator 21 generates model information of a disaster that can occur in the real world by simulation, and stores the generated model information of the disaster in an information collection system 23.
Is output as requested.

The information collection system 23 collects information on the scale of damage caused by the disaster that has occurred and information on the actual deployment status of resources (such as the aforementioned emergency vehicles and members). Are provided with various functions of the command stand system 1, the vehicle dynamics management system 3, and the disaster information collection system 5 shown in FIG.

That is, similarly to the above-mentioned command stand system 1, the location (position) of the caller's telephone is usually specified by using the calling place display of the telephone, and a map of the neighborhood is stored in the information of the headquarters. The information is displayed as map image information on the display unit of the processing terminal, and a disaster occurrence point is specified while assisting telephone calls. Further, when a plurality of reports are received for the same disaster, processing such as collation with a case in progress is also performed.

Similarly to the above-described vehicle dynamics management system 3, the instruction from the information processing terminal at the headquarters is transmitted to the on-board terminal mounted on each emergency vehicle together with the GPS (global positioning system). It is transmitted wirelessly in the form. The notification of the current position information from each in-vehicle terminal is received by the information processing terminal of the headquarters, and the information processing terminal determines the current position of each emergency vehicle (including the current position of the crew in each emergency vehicle) at once. Be grasped. Each in-vehicle terminal wirelessly communicates with the information processing terminal at the headquarters to search for map image information stored in the information processing terminal, and to check other emergency vehicles (the current position of the crew members in other emergency vehicles). (Included) to know the current location. In this way, the current position information (that is, the resource allocation status) of each of the emergency vehicles (including the current position of the crew in each of the emergency vehicles) is obtained from the information collection system 23 by the resource allocation system. 29. In addition, map image information indicating the disaster site (house map image information indicating the fire occurrence site when the disaster is a fire) is output from the information collection system 23 to the disaster scale estimation system 25.

Further, similarly to the processing in the disaster information collection system 5 described above, for example, infrared image information of a fire spot by a heli-tel, image information of aerial photograph, satellite image information, image information from a high-altitude camera, etc. collect. Various image information including the infrared image information collected in this manner is output from the information collection system 23 to the disaster scale estimation system 25.

The disaster scale estimating system 25 physically determines the scale of the disaster (current disaster situation) based on various information such as infrared image information and various image information relating to the disaster site collected by the information collecting system 23. In the case where the occurring disaster is a simultaneous multiple disaster, the amount of damage at each disaster point is measured. The disaster scale estimation system 25 detects the temperature of each house (the amount of heat generated by each house) based on the above-described infrared image information, thereby grasping, for example, the spread of fire at a fire site, which is one of the disaster sites. The disaster scale estimation system 25 also detects a hot spot by performing an image analysis of the infrared image information, and performs a process of superimposing the detected hot spot on the map information, thereby detecting a fire point. This makes it possible to automatically and extensively measure the amount of disaster that has occurred (that is, the magnitude of the magnitude of the disaster). In addition, the position of the disaster occurrence point (fire point) can be grasped by the function of the command board system provided in the information collection system 23 described above. The processing result in the disaster scale estimation system 25 is provided to the required resource amount calculation system 27.

The necessary resource amount calculation system 27 determines, in accordance with the amount (magnitude) of damage estimated by the disaster scale estimation system 25, how much resource amount is required to reduce the damage. , By activating the simulation system 33. That is, when there are houses damaged by the disaster, the necessary resource amount calculation system 27 obtains a set of the damaged houses based on the list (information) of the damaged houses obtained by the disaster scale estimation system 25 as each disaster occurrence point. . Next, the calorific value in the above set is obtained based on the calorific value of each house (disaster house) detected by the disaster scale estimation system 25, and the simulation system 33 is caused to execute a fire extinguishing simulation based on the calorific value obtained. Then, as a result of executing the fire extinguishing simulation, when the number of pump cars (fire engines) required for extinguishing fire is obtained, it is output to the resource allocation system 29 as a necessary resource amount at each disaster occurrence point.

Here, the simulation system 33 will be described.

In recent years, simulation systems for damage prediction have been developed for various disasters such as fires (fire spread prediction), earthquakes (earthquake collapse prediction), and tsunamis (tsunami damage prediction). For example, "Elucidation and Countermeasures for New Fire Causes and Spreading Properties Based on the Earthquake Immediately Below" (Fire Prevention Council Response, Fire Prevention Council, Tokyo Fire Department Disaster Prevention Department, Disaster Prevention Section 1997) can be cited as a fire spread prediction. As the simulation system, not only natural disasters as described above, but also systems such as a toxic gas diffusion simulation, a radioactivity diffusion simulation, and an oil level diffusion simulation due to an oil leak accident in a tanker have been realized. Since disaster phenomena and damage phenomena are basically physical phenomena, more detailed predictions have become possible in recent years due to advances in research into elucidation of physical phenomena and advances in computer (electronic computer) capabilities. Such damage prediction simulation
The system is used as a reference when planning urban disasters, setting up disaster prevention facilities such as fire departments, and formulating the Building Standards Law. One example is "Development of support system for firefighting and disaster prevention plan in Kobe City" (Hiroyuki Takai, Koichi Yano,
Takeshi Matsui, Shigenobu Kinoshita, Yuji Uemura Kinki University Faculty of Engineering Research Report No.32 pp.93-104).

The resource allocation system 29 calculates the amount of excess or deficiency of resources from the amount of resources already deployed at each disaster point and the required amount of resources calculated by the required resource amount calculation system 27. Resource allocation is determined in accordance with the policy of allocating the resources that have been allocated to disaster points with insufficient resources. When the resource amount is insufficient as a whole, a priority can be set for each disaster point, and the resource allocation system 29 automatically allocates resources according to the priority. Assuming that the disaster is a fire, the corresponding resources (firefighting resources) are a firefighting pump car and a firefighter who gets on the firefighter. However, the firefighting resources can also be considered for each fire brigade. The resource allocation result determined by the resource allocation system 29 is output to the interface 31.

The interface 31 displays the result of resource allocation determined by the resource allocation system 29 in a form that can be read by an operator or a person in charge (disaster countermeasure person) stationed at the headquarters.

FIG. 3 is an explanatory diagram of the fire spread range calculation processing by the disaster scale estimation system 25 shown in FIG.

In FIG. 3, the infrared image information 41 is given to the disaster information collection system 25 from the disaster information collection system function of the information collection system 23 as described above. Image information relating to the occurrence points A and B is included. In each of the fire occurrence points A and B, the area 41a indicates a fire spread area, the area 41b indicates an ignition range, and the area 41c indicates a heat receiving area. On the other hand, the house map image information 43 is provided to the disaster information collection system 25 from the vehicle dynamics management system function of the information collection system 23 as described above. Buildings corresponding to A and B are shown.

As a result of the superposition of the infrared image information 41 and the house map image information 43, a group 45a of affected houses including a fire spread house, an ignited house, and a heat-receiving house at the fire occurrence point A, and a fire spread at the fire occurrence point B Residential map image information 45 is displayed which displays a group 45b of the affected houses including the house, the ignited house, and the heat-receiving house.

As a result, it is possible to automatically count the number of affected houses (that is, the amount of disaster occurrence) for each disaster point (fire occurrence points A and B in the example of FIG. 3).

FIG. 4 is a flowchart showing an operation of calculating the spread of fire by the disaster scale estimation system 25 shown in FIG.

In FIG. 4, when the infrared image information 41 and the house map image information 43 shown in FIG. 3 are received from the information collecting system 23 (step S51), the disaster scale estimating system 25 makes the two image information 41, 43. Is superimposed (step S52), and the amount of generated heat of each house on the house map image information is obtained (step S53). Next, based on the calorific value obtained, a disaster included in a house included in any of the fire spread house, the ignition house, and the heat receiving house based on the disaster occurrence point (A, B) closest to each of the houses. Performs processing to enter a house group. As a result, a group of affected houses is formed for each disaster occurrence point (A, B), and a list of affected houses at each disaster occurrence point (A, B) is generated (step S54).

FIG. 5 is an explanatory diagram of the required resource amount calculation processing by the required resource amount calculation system 27 shown in FIG.

In FIG. 5, the house map image information 45 is
This is provided from the disaster scale estimation system 25 to the necessary resource amount calculation system 27, and is the same as the house map image information 45 shown in FIG. The required resource amount calculation system 27 simulates the fire extinguishing by the above-described simulation system 33 for each disaster point displayed in the house map image information 45, that is, the fire occurrence points A and B, and obtains the resource amount required for fire extinguishing. (That is, the number of fire pump cars) is calculated. For example, at fire occurrence point A, the number of fire spread houses is 11, and the total value of the generated heat there is
It is xxxKW. Therefore, by activating the simulation system 33 and simulating fire extinguishing based on the number of fire spread houses and the amount of generated heat, four fire pump trucks are calculated as required resource amounts as indicated by reference numeral 55. Note that the amount of water injection required for fire extinguishing can also be used as the resource amount. In this case, the number of fire pump trucks can be set in consideration of the performance of the fire pump trucks.

FIG. 6 is a flowchart showing the required resource amount calculation processing operation by the required resource amount calculation system 27 shown in FIG.

In FIG. 6, first, a list of affected houses at each disaster (fire) occurrence point (A, B) is obtained from the disaster scale estimation system 25, and a list of the affected houses at each disaster occurrence point (X _i ) is obtained. Obtain a set (S _x ) (Step S6)
1). Next, the calorific value of each house on the house map image information 45 shown in FIG. 5 is obtained from the disaster scale estimation system 25, the calorific value in the above set (S _x ) is obtained, and a simulation is performed based on the calorific value. Activate the system 33 to execute a fire extinguishing simulation (step S
62). Then, the number of fire pump cars required for fire suppression (required resource amount) obtained as a result of the simulation is stored as the required resource amount at each disaster occurrence point (X _i ) (step 63). Step S6 above
After the series of processing operations shown in steps 1 to S63 have been executed for all disaster (fire) occurrence points, the required resource amount calculation processing by the required resource amount calculation system 27 ends (step S64).

FIG. 7 is a flowchart showing a resource allocation processing operation by the resource allocation system 29 shown in FIG.

The processing flow shown in FIG. 7 is composed of two loops in order to execute resource (fire pump car) allocation processing for all disaster (fire) occurrence points.
In the first loop, the amount of excess or deficiency of resources (fire pump vehicles) at each disaster (fire) occurrence point is calculated, and as a result, when there is surplus resources (fire pump vehicles),
The resource (fire pump car) is stored in a predetermined list. In the second loop, the surplus resources (fire pump vehicles) are allocated to disaster (fire) occurrence points where resources (fire pump vehicles) are insufficient.

The resources (fire pump vehicles) are allocated preferentially from the disaster (fire) occurrence point of the disaster-affected house most frequently. However, when the resources (fire truck) are insufficient as a whole, the disaster disaster of the disaster-affected house is least. No resources are assigned to the (fire) origin. In addition, as shown in FIG. 3 and FIG. 4, the determination of whether or not a house is a disaster-stricken house is determined by the amount of heat generated by each house. ) When the allocation is determined, a resource (fire pump car) is automatically allocated to another disaster (fire) occurrence point.

With regard to the priority of the allocation of resources (fire pump trucks), it is conceivable to increase the priority in consideration of the importance of, for example, dangerous goods storage facilities, hospitals, and historical buildings. Further, when resources (fire pump vehicles) are insufficient as a whole, a method of equally allocating (for example, 80% of a necessary lease amount) to all disaster (fire) occurrence points may be assumed. .

In FIG. 7, first, the information collection system 2
Based on the current position information (resource allocation status) of the resources (including the fire pump car or the crew riding on it) obtained from the third resource (fire service), resources (fire service) that are not deployed at any disaster (fire) occurrence point Pump car)
A list A including them is created (step S71).
Then, based on the information indicating the location state of the resource, disaster (fire) resource is deployed on generating point X _i - the number of scan (fire pump wheel) to and b (step S72). Next, the necessary resource amount at the disaster (fire) occurrence point (X _i ) among the disaster (fire) occurrence points acquired from the necessary resource amount calculation system 27 is set to c (step S73). Next, the required resource amount c is compared with the actually deployed resource amount b (step S74), and c <b
If so, the shortage amount d is set to d = 0 (step S75).
Then, the surplus (b−) of the number of resources (the number of fire pump vehicles) deployed at the disaster (fire) occurrence point (X _i )
c) The resources are selected from the deployed resources and added to the list A created in step S71 (step S76). On the other hand, in step S74, as a result of comparing the required resource amount c with the actually deployed resource amount b, if b <c, the shortage amount d is calculated as d
= C−b (step S77).

A series of processing operations shown in steps S71 to S74 to S76, or steps S71 to S74, S
A series of processing operations indicated by 77 are executed for all disaster (fire) occurrence points (step S78).

When the above-described series of processing operations is completed, the number of affected houses is determined by referring to the list of affected houses at each disaster (fire) occurrence point acquired from the disaster scale estimation system 25 through the necessary resource amount calculation system 27. Disaster (fire) occurrence point (X _j ) is selected in descending order (step S)
79). Next, from the list A created in step S71, c resources (fire pump vehicles) whose current position is closest to the disaster (fire) occurrence point (X _j ) are selected, and a resource allocation list is created ( In step S80, the selected c resources (fire pump vehicles) are excluded from the list A (step S81).

The series of processing operations shown in steps S79 to S81 are executed for all disaster (fire) occurrence points (step S82). Then, by ending the series of processing operations for all disaster (fire) occurrence points, the resource allocation processing operation by the resource allocation system 29 ends.

In step S80, a resource (fire pump car) whose current position is closest to the disaster (fire) occurrence point (X _j ) is selected.
With reference to the road map (image information), the shortest route from the current position of each resource (fire pump car) to the disaster (fire) occurrence point (X _j ) is obtained on the road map, and the shortest route between the shortest routes is determined. It is desirable to select the above resource (fire pump car) by comparison.

FIG. 8 shows the interface 31 shown in FIG.
FIG. 7 is a diagram showing an example of image information displayed on the screen.

In the example shown in FIG. 8, three points A, B and C are displayed as disaster (fire) occurrence points.
The required number of resources is 4 fire pump vehicles, generation points B and C
The required number of resources is 2 fire pump cars. At the time point shown in FIG. 8, two fire pump trucks have been deployed at the occurrence point A, three at the occurrence point B, and one at the occurrence point C. In this case, each of them is short, and at the point of occurrence C, one is left. Therefore, at the point of occurrence A, one unit is newly provided from the fire department 91 and at the point of occurrence B, and at the point C, one unit is newly provided from the fire department 93. .

The above-mentioned disaster prevention information processing system can be used not only for actual disasters but also for virtual data for training (simulation models constructed on the assumption of various types of disasters that can actually occur). A new resource deployment plan can be drafted in real time according to the deployment status of resources (such as a fire pump truck) or a change in disaster status.

Although the above description is directed to a fire as an example of a disaster, the above system can be applied to, for example, a tanker oil leak accident in a harbor or on the open sea. When the above system is applied to a tanker oil spill accident, the oil surface area is measured based on image information from a pericopter or aircraft, and the amount of drug input as a resource and the deployment of an oil recovery boat are determined. Will be.

In the above embodiment, the information collection system 23 is configured to acquire the model information of the disaster generated by the simulator 21.
There is no problem if the third party directly obtains necessary information from various disasters occurring in the real world.

[0053]

As described above, according to the present invention,
It is possible to automatically estimate the scale of damage for simultaneous multiple disasters and automatically calculate the amount of resources required to deal with the disaster.

Further, according to the present invention, it is possible to quickly and appropriately allocate resources on hand according to the automatically calculated required resource amount for simultaneous multiple disasters.

Further, according to the present invention, it is possible to plan an appropriate resource allocation plan in advance for a disaster that can occur at multiple points.

[Brief description of the drawings]

FIG. 1 is an explanatory diagram showing each unit constituting a conventional disaster prevention information processing system.

FIG. 2 is a block diagram showing the overall configuration of the disaster prevention information processing system according to one embodiment of the present invention.

FIG. 3 is an explanatory diagram of a fire spread range calculation process by the disaster scale estimation system shown in FIG. 2;

FIG. 4 is a flowchart showing a fire spread range calculation processing operation by the disaster scale estimation system shown in FIG. 2;

FIG. 5 is an explanatory diagram of a required resource amount calculation process performed by the required resource amount calculation system illustrated in FIG. 2;

FIG. 6 is a flowchart showing a required resource amount calculation processing operation by the required resource amount calculation system shown in FIG. 2;

FIG. 7 is a flowchart showing a resource allocation processing operation by the resource allocation system shown in FIG. 2;

FIG. 8 is a view showing an example of image information displayed on the result display interface shown in FIG. 2;

[Explanation of symbols]

Reference Signs List 1 Command stand system 3 Vehicle dynamics management system 5 Disaster information collection system 21 Simulator 23 Information collection system 25 Disaster scale estimation system 27 Required resource amount calculation system 29 Resource allocation system 31 Result display interface (interface) 33 Disaster damage prediction simulation system (Simulation) system)

──────────────────────────────────────────────────の Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) // H04N 7/18 H04N 7/18 D (72) Inventor Takamichi Otani 3-chome Toyosu, Koto-ku, Tokyo No. 3 F-term in the NTT Data Corporation (reference) AA09 AA10 AA19 BB12 BB20 BB74 BB76 DD02 DD04 DD24 DD29 EE18 FF01 FF02 FF19 FF20 FF23 GG07 GG14 GG21 GG23

Claims (11)

[Claims] 1. A means for collecting various information relating to a disaster site, a means for measuring the scale of a disaster that has occurred as a physical quantity based on the various information, and a prediction of the spread of damage based on the measured physical quantity And a means for calculating a necessary amount of resources for coping with the disaster according to the predicted spread of the damage. 2. The system according to claim 1, wherein an amount of resources to be allocated to the disaster site is determined based on information on a deployment state of the resources included in the various information and a required amount of the resources. A disaster prevention information processing system further comprising means. 3. The disaster prevention information processing system according to claim 1, wherein the information includes map image information on which image information of the disaster site is superimposed. 4. The system according to claim 1, wherein when the disaster is a simultaneous multiple occurrence type disaster, a physical quantity indicating a scale of the disaster is measured for all disaster occurrence points, and the physical quantity indicating the magnitude of the disaster is calculated based on the respective measurement values. A disaster prevention information processing system that predicts the extent of damage. 5. The system according to claim 1, wherein the calculation of the necessary amount calculates an amount of resources capable of calming the disaster based on a simulation using the prediction of the spread of the damage. A disaster prevention information processing system. 6. The system according to claim 2, wherein the resource amount is allocated by comparing the resource amount already deployed at the disaster site with the calculated resource amount required at the disaster site. A disaster prevention information processing system that is determined based on the excess or deficiency when it occurs. 7. The system according to claim 6, wherein when the amount of resources required at the disaster site is insufficient as a whole, the system is deployed at each disaster occurrence point according to a priority set for each disaster occurrence point. A disaster prevention information processing system that allocates the necessary resources. 8. The system according to claim 6, wherein when the amount of resources required at each disaster site is insufficient as a whole, the resources are allocated such that the resources are equally distributed to all disaster occurrence points. Disaster prevention information processing system. 9. The system according to claim 6, wherein when the amount of resources required at each disaster site is insufficient as a whole, the remaining disaster occurrence points except for the disaster occurrence point having the smallest disaster scale are set. A disaster prevention information processing system that allocates the resources so that the resources are deployed. 10. The first for collecting various information related to a disaster site
A second step of measuring the scale of the disaster that has occurred as a physical quantity based on the various information; a third step of predicting the spread of damage based on the measured physical quantity; A fourth step of calculating a necessary amount of resources for coping with the disaster according to the extent of the damage to be performed. 11. The first for collecting various information related to a disaster site
A second step of measuring the scale of the disaster that has occurred as a physical quantity based on the various information; a third step of predicting the spread of damage based on the measured physical quantity; Computer program product having a computer program for causing a computer to execute a disaster prevention information processing method comprising: a fourth step of calculating a necessary amount of resources for coping with the disaster according to the extent of damage to be performed. .