KR101442658B1 - System and Method for Disaster Evacuation providing Evacuation Simulation - Google Patents

Abstract

The present invention relates to a method for minimizing the casualties caused by a fire or collapse in an indoor space. More specifically, the present invention relates to data on evacuation simulation performed in a DB and information on the actual occupant distribution of the room using an infrared sensor, The present invention relates to a system configuration and a development method for visualizing and providing a quick evacuation path result.
In order to accomplish the above object, there is provided a method for managing personnel, comprising the steps of: storing personnel information of each compartment space in a building in real time according to an embodiment of the present invention; storing simulation results executed by inputting arbitrary data values; Extracting a simulation result suited to the information, and outputting the extracted simulation result.
The step of storing the personnel information of each compartment space in the real-time building confirms the personnel information of each compartment space and stores the information in the personnel DB. The step of storing the simulation result, which is performed by inputting the arbitrary data value, stores the result value of the evacuation path in the simulation DB with respect to the parameter inputted to the simulation engine. The step of extracting the simulation results matching the personnel distribution information for each DB matches the personnel distribution information of the personnel DB and the personnel distribution information of the simulation DB to extract necessary simulation results. The outputting of the extracted simulation results visualizes the matched necessary simulation results to the pedestrian.

Description

TECHNICAL FIELD [0001] The present invention relates to a disaster evacuation system and a disaster evacuation system,

The present invention relates to a method for minimizing the damage of a person against a fire or collapse in an indoor space. More specifically, the present invention stores evacuation simulation data in a database and actual indoor occupant distribution information using an infrared sensor, And more particularly, to a system configuration and a development method for visualizing and providing a result of evacuation path that is quicker than when the evacuation path is generated.

The present invention was derived from a research carried out by the Ministry of Land, Transport and Maritime Affairs and the Korea Institute of Construction & Transportation Technology Evaluation and Planning as a part of the state-of-the-art urban development project. [Assignment No. 11CHUD-A044886-06-000000, Development - Indoor GIS Data Model - based Pedestrian Simulation Interworking Module Development].

Many disaster preparedness facilities are spreading about natural disasters and safety accidents such as the Japanese tsunami, and the number of high-rise buildings / large-scale buildings is increasing due to recent urban population growth and development of building technology.

In such a building, if a disaster occurs, it takes a long time to evacuate due to the nature of the building, the congestion increases, and if the rescue remains in the building due to the failure to find the escape route in case of a disaster, The probability is too low.

In other words, there is a need for a technique to utilize simulation to minimize the casualties and to provide quick response methods in the event of a disaster.

Until now, however, there have been inconveniences and fears that the big pizzas had to move in anxiety during the evacuation because they simply sounded beeps in the event of a disaster and had to follow the sound depending on what happened and what happened.

On the other hand, Korean Patent No. 1064890 suggests a system and method for evacuating depending on indicators and emergency broadcasting in a disaster situation of a building.

However, the above-mentioned prior art can maintain intelligent emergency escape guidance indicator and emergency broadcasting distributed and arranged according to the location inside the building even if the power supply and the main communication network are broken due to destruction of the facility during a disaster, The problem of providing route and fire information is not solved.

Therefore, evacuation information should be provided even if the information connection line is disconnected due to the wavelengths generated during the disaster, and it is necessary to provide the evacuation information by visualizing the 2D or 3D visualization Technology is needed to inform people about the information.

Korean Patent No. 10-1064890

An object of the present invention is to provide optimal information at the time of a disaster by predicting a situation in advance and accumulating a lot of simulation data.

The present invention aims to provide evacuation simulation results including personnel information for each compartment space in a building.

The present invention aims at examining the evacuation safety of a building, analyzing the evacuation situation, and guiding or rescuing a pedestrian in a real disaster situation.

The present invention aims at providing an optimal visualized evacuation route by matching the real-time sensed persons in the current building with the personnel information of the simulation result DB.

In order to achieve the above object, a disaster evacuation system and method for providing evacuation simulation according to an embodiment of the present invention includes: storing personnel information of each compartment space in a building in real time; Storing the result, extracting a simulation result matching the personnel distribution information sensed in real time, and outputting the extracted simulation result.

In the step of storing the personnel information of each division space in the real time in the building, the personnel information per each division space is confirmed through the sensor and stored in the personnel DB. The step of storing the simulation result, which is performed by inputting the arbitrary data value, stores the result value of the evacuation path in the simulation DB with respect to the parameter inputted to the simulation engine. The step of extracting a simulation result matching the personnel distribution information detected in real time matches the personnel distribution information of the personnel DB and the personnel distribution information of the simulation DB to extract a necessary evacuation route. The step of outputting the extracted simulation results visualizes the evacuation path included in the matched simulation DB to the pedestrian.

In addition, the step of storing the personnel information of each compartment space in the real time in the building may include various sensors such as an infrared sensor and a human body sensor, and it is also possible to set a predetermined time, Update the data.

In addition, the step of storing the simulation result, which is performed by inputting the arbitrary data value, may include a static floor field of a floor field model of a Kirchner algorithm used from the simulation engine, Dynamic floor field is used. Static is simply a physical shortest evacuation route. However, since dynamics uses a clustering phenomenon to find a evacuation route, it can be optimized for the simulation including various characteristics of people. Provide evacuation routes.

In addition, the step of extracting the simulation result matching the personnel distribution information detected in real time may include a step of detecting a disaster from the sensing unit and giving a disaster signal to the control unit waiting at all times, Incorporate information including evacuation routes.

In addition, the step of extracting the simulation corresponding to the personnel distribution information for each DB may include a step of extracting the simulation results corresponding to the respective division spaces, which are embedded in the simulation result value of the simulation DB, on the basis of the personnel distribution information values of the respective division spaces of the interlocked personnel DB Euclidean distance (Euclidean distance) technique is used to determine the difference of each room, and it is determined whether the simulation is appropriate to the personnel situation and the evacuation path included in the simulation DB is extracted.

In addition, the outputting of the extracted simulation results may be connected to a display device installed in each of the divided spaces, and when the emergency evacuation route included in the simulation DB is transmitted in a disaster, it is visualized in 2D and 3D to provide a safe evacuation route.

Meanwhile, a disaster evacuation system and method for providing evacuation simulation results according to one embodiment of the present invention includes a personnel DB, a simulation DB, a control unit, an output unit, a sensor unit, a sensing unit, and a simulation engine.

When the number of personnel is increased from a pair of the sensor units including the infrared sensor and the human body sensor installed at the entrance and exit of each of the compartment spaces, the personnel DB decreases the count when the number of persons in the memory increases, It is a place to receive and store the personnel distribution information by the compartment space.

The simulation DB has a feature of storing the evacuation path including the personnel distribution data calculated by the simulation engine in advance as a result value in order to prevent a time delay of evacuation system progress due to a complicated operation at the time of a disaster.

The control unit receives the input signal from the sensing unit when a disaster occurs, and synchronizes the DB to obtain the personnel distribution information of the personnel DB and the simulation DB.

In addition, the controller may determine the personnel distribution information among the information in the simulation result values of the simulation DB using the Euclidean distance method based on the personnel distribution information for each of the compartment spaces of the personnel DB And extracts the evacuation path included in the simulation DB that best matches the reference information of the personnel distribution.

The output unit is connected to a display unit provided for each of the compartment spaces, and provides visualization when the extracted escape route is transmitted in a disaster.

The sensor unit is installed at an entrance and an exit of each compartment space and increases / decreases the number of persons entering and leaving the compartment, and sets a predetermined time and stores personnel information for each compartment space in the person DB.

The sensing unit is a sensor made up of fire, flame, vibration, smoke, and the like. When one of the sensing units is detected, the sensing unit sends a disaster signal to the control unit so that the DB and the simulation DB can be interlocked with each other.

The user inputs parameters to implement a necessary situation using the static floor field and the dynamic floor field of the Kirchner algorithm input to the simulation engine and executes a corresponding situation The evacuation path including the personnel distribution data is used as the result value by repeatedly learning by specifying the number of times manually.

According to the present invention, it is possible to evaluate the risk before the occurrence of an accident based on the drawing file including the information of the building, and cope with it, thereby enhancing the safety of the inside of the building.

Further, according to the present invention, it is possible to predict the evacuation route in consideration of the characteristics of a person along with the shortest route at the time of evacuation.

Also, according to the present invention, it is possible to determine whether or not evacuation has been carried out through the personnel information of each compartment space, and to do a quick rescue operation.

Further, according to the present invention, it is possible to provide visualized information to the large pizza rather than the evacuation guidance using broadcasting, so that it is possible to prevent panic situations in the event of a disaster.

In addition, according to the present invention, it is possible to accumulate a large amount of simulation data in advance and provide an accurate and fast evacuation route only by matching the personnel information of each compartment space.

1 is a configuration diagram of a disaster evacuation system that provides evacuation simulation results of the present invention.
2 is a flow chart of a disaster evacuation method providing the evacuation simulation results of the present invention.
3 is a flowchart illustrating a process of generating a personnel DB according to an embodiment of the present invention.
4 is a flowchart illustrating a process of generating a simulation DB according to an embodiment of the present invention.
FIG. 5 is a flowchart illustrating the evacuation simulation process of FIG. 4 according to an embodiment of the present invention.
6 is a reference diagram for inputting parameters in a simulation engine according to an embodiment of the present invention.
FIG. 7 is an exemplary reference view of an evacuation route guidance finally output according to an embodiment of the present invention. FIG.
FIG. 8 is a reference diagram for matching the data of the personnel DB and the simulation DB in the control unit according to an embodiment of the present invention.
9 is a cell-based reference diagram of a drawing of a simulation engine in an embodiment of the present invention.
10 is a reference diagram of a cell score of the Kirchner algorithm according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. In the following description of the embodiments of the present invention, specific values are only examples.

<Description of System>

1 is a configuration diagram of a disaster evacuation method for providing evacuation simulation according to an embodiment of the present invention.

Referring to FIG. 1, a disaster evacuation system and method providing an evacuation simulation of an embodiment includes an output unit 100, a control unit 110, a simulation DB 120, a simulation engine 130, a personnel DB 140, Unit 150 and a sensing unit 160.

The output unit 100 matches the evacuation path including the personnel distribution information of the personnel DB 140 and the personnel distribution information of the simulation DB 120 to the evacuation path And displays it.

The control unit 110 receives the disaster detection signal input from the sensing unit 160 and receives the disaster detection signal input from the sensing unit 160. The control unit 110 determines the number of people, If the difference is large according to the number of people in each compartment space using the Euclidean distance method, the variable becomes large. If the difference is small, the variable is displayed small and the difference is small. 110 extracts one evacuation route included in the simulation DB 120 corresponding to the current number of personnel for each compartment space. In addition, the number of people and the total number of people in each compartment space are also referred to as personnel distribution information.

[Equation 1]

In Equation 1, d _i is the personnel distribution information of the personnel DB 140, d _j is the personnel distribution information of the simulation DB 120, and k is the room number. The personnel distribution information w _ik of the personnel DB 140 of each k room, When the person distribution information of the simulation DB 120 is calculated by putting w _jk into Equation 1, it can be shown that the closer the value to 0, the more similar the two values.

In this manner, the evacuation path included in the optimal simulation DB 120 can be extracted by calculating the personnel distribution information of the personnel DB 140 and the personnel distribution information of the simulation DB 120 using Equation (1).

The simulation DB 120 receives the personnel information and the algorithm parameters of each segmented space in the simulation engine 130 and receives a static value for calculating the optimal physical shortest distance and a cluster phenomenon using trends of people and personality psychology And calculates the dynamic value for calculating the evacuation route, and stores the optimal evacuation route including the personnel information for each compartment space as a result value.

In addition, in the present invention, the number of times occupied by a pedestrian in a cell is recorded in order to utilize a crowd phenomenon, thereby providing a cell occupancy.

The simulation engine 130 may be implemented as a cell-based program. The simulation engine 130 divides the 2D and 3D space of the building into cells, which are small blocks, and calculates evacuation simulation result data based on each cell. The cell can be explained in more detail with reference to FIG. 9 is a cell-based modeling of the lattice. The simulation engine 130 calculates a static value and a dynamic value for each cell constituting the visualized building, multiplies the two values, and calculates a cell score for each cell. Cell scores can be understood with reference to FIG.

The simulation engine 130 can display the evacuation path simulation screen together with the simulation personnel distribution data by inputting the Kirchner algorithm parameters. Specifically, the simulation finds the evacuation route of the evacuees based on the pedestrian's property information reflecting the behavior characteristics of pedestrians (number of people to evacue, speed, understanding of building, etc.) And generates simulation result data to accumulate data in the simulation DB 120. [ The simulation result data is intended to simulate the overall evacuation route and evacuation related personnel distribution information.

In this way, the simulation engine 130 considers both the value for finding the shortest path based on the physical distance and the value for predicting the evacuation path based on the cluster phenomenon, and applies the Kirchner algorithm reflecting the cluster phenomenon To find the evacuation route.

When the space in the building is divided into a plurality of cells and visualized through the cell-based modeling, the simulation engine 130 generates a physical shortest path based on the pedestrian's property information (body shape, moving speed, reaction time, etc.) In order to predict, the static value of the cells constituting the visualized building is calculated. The simulation engine 130 calculates the dynamic value of the cells constituting the building through the Kirchner algorithm (Kirchner) reflecting the crowd phenomenon, which is a behavior characteristic of a person.

The simulation engine 130 multiplies the dynamic values for increasing the accuracy of the simulation by reflecting the static value and the clustering phenomenon for the shortest path, tracks the movement of the pedestrians between the cells based on the multiplication, and determines the optimal evacuation path And generates evacuation simulation result data.

Such evacuation simulation result data may be mapped to each cell constituting the building and displayed in a 2D or 3D form on the simulation screen, and evacuation simulation evacuation path data may be displayed together.

In addition, evacuation simulation does not specify each evacuation route for each person in each compartment space when calculating the evacuation route in order to lighten the result data. Instead, a representative is selected and evacuation Provide a path.

The Kirchner algorithm can explain the evolution of the evacuation simulation through a biological approach. In other words, the law of 'people rely on others to escape in case of emergency' can be a phenomenon of Kirchner algorithm. The method used by pedestrians to escape is called chemotaxis, and the Kirchner algorithm applies a property that moves by a specific chemical reaction of a creature. Here, there are a static floor field and a dynamic floor field of a floor field model. Each field is a field representing intellectual ability and crowd phenomenon. The two fields are harmonized to predict the walking of the pedestrian to find the shortest path.

In the case of the static floor field, it is an algorithm to calculate the evacuation route from the exit to the pedestrian's position by an algorithm that finds the shortest route through the physical distance of the space. One embodiment can consider evacuation for four directions east, west, south, and north. Alternatively, it is possible to apply all eight directions in which a person can move in the evacuation simulation, taking into account that the actual person can move in eight directions instead of four directions when moving.

The dynamic floor field has been applied to fire and evacuation as a phenomenon of dependence on others by clustering like an ant. The ant sprays his pheromone as he moves, and returns when he ascertains that he has a pheromone on his way back. As the number of migrating ants increases, many pheromones will repeat their multiplication and spreading, and each ant will choose the route in which many pheromones are scattered. The reason is that many ants think it is more accurate because of the length chosen.

Generally, in an emergency such as a fire, it is difficult for a person to escape arbitrarily from the exit of a building unless the understanding of the building is high. The dynamic floor field is a field that combines the habit of attempting to escape through more selected routes to the chemical traces of ants.

&Quot; (2) &quot;

P _ij = N exp (K _D * D _ij ) * exp (K _S * S _ij ) * (1-N _ij ) * Y _ij

In Equation 2, N is a normalization parameter (Normalization parameter), P _ij is the cell score, K _D, K _S is a sensitivity parameter _{(Sensitivity parametera), D ij,} S ij of the cell (Unoccupied neighborcell) does not occupy the cell A score score indicating a dynamic value and a static value, and N _ij is an Occupant Number. Y _ij is a parameter for determining whether or not an obstacle is present, and is an Obatacle score.

Equation (2) can be divided into five main parts.

First, P _ij Represents the actual cell score value calculated by taking into consideration various values affecting evacuation. The pedestrian agent moves from the current position to the smallest cell.

Second, exp (K _D * D _ij ) is the part that calculates the dynamic value. D _ij Is the current dynamic value of one cell, and multiplies it by a predetermined parameter. The value of the parameter is applied to the specified value and can be changed. If the value of K _D is adjusted to be higher, the tendency of 'reliance on evacuation' becomes higher. When the value of K _D is lowered, the dependency is lowered. Exp (exponent) the value thus calculated so that the value does not become extremely large.

Third, exp (K _D * D _ij ) is the part that calculates the static value. S _ij Is a current static value held by one cell, and multiplies it by a predetermined parameter. The value of the parameter is applied to the specified value and can be changed. If the value of K _S is adjusted to be high, the tendency of 'evacuation in the shortest path' becomes high. When it is lowered, the dependency is lowered. Exp (exponent) the value thus calculated so that the value does not become extremely large. Thus, K _S And K _D can be used to control human reasoning and dependence. K _S The higher value means that it is evacuating to the shortest route, but it can also mean that the pedestrian is well aware of the internal affairs of the building.

Fourth, (1-N _ij ) is a part that determines whether a pedestrian exists in a cell or not. Agent (Agent) is, if present in the cell 1, and if set to zero by the formula in the presence of agent (1-1 = 0), P _ij Lt; / RTI &gt; That is, it is treated as a space that can not be moved.

Fifth, Y _ij Indicates the presence or absence of an obstacle. If there is an obstacle, it is processed as 0, and if it is not existed, it is processed as P _ij so that it can not move to the obstacle.

When the result of expressing the evacuation path with such an algorithm is calculated, it is accumulated in the simulation DB and designation frequency is designated, and simulation data of each different situation is accumulated while the value of the parameter is changed during the inputted number of times.

The personnel DB 140 uses a pair of sensor units 150 installed in each of the divided spaces to count the number of people entering the area and increase the number of people in the area. And stores the repeated information.

Further, this information is referred to as personnel information or personnel distribution information for each division space,

The sensor unit 150 is installed at the entrance and exit of each compartment space, and is composed of an infrared sensor and a human body sensor. When the person enters the entrance of the compartment, the sensor senses the number of persons in the compartment, The number of people in the memory is reduced when it is detected when the person goes out in front of the exit.

It is also an object of the present invention to transmit and store the personnel information for each division space to the personnel DB 140. It is a task to update the information of the personnel DB 140 at a set time by setting a certain time during the function .

The sensing unit 160 is provided with a sensor including temperature, flame, smoke, and magnitude and the like for each compartment space. When sensing the risk of each characteristic of the sensor, a signal is sent to the control unit 110 to generate a disaster signal And performs the operation of interworking data of each DB

<Description of Method>

1. Storing the personnel information of each compartment space inside the building in real- S210 >

3 is a flowchart illustrating a process of generating a personnel DB 140 according to an embodiment of the present invention.

In step S310, a pair of sensor units 150 including an infrared sensor and a human body detection sensor detects in real time whether or not the exit of the pedestrian is coming in front of the entrance door.

In step S320, if the pedestrian is not detected, the process goes to step S340 to check the personnel while checking in real time.

In step S330, the number of people is counted for both cases of entering the pedestrian and the case of leaving the pedestrian. If the number of people is increased and the number of people is increased, the number of people is decreased, and then the process goes to step S340 to check.

In step S340, the time interval after power-on is determined. If the predetermined time is elapsed, the process proceeds to step S350, or otherwise, the process proceeds to step S310.

In step S350, when the step S340 is satisfied, the configuration of updating the data of the personnel DB 140 is cyclically operated.

2. Step of inputting arbitrary data value and storing the executed simulation < S220 >

4 is a flowchart illustrating a process of generating a simulation DB according to an embodiment of the present invention.

Step S410 is a work performed in the simulation engine 130 to load a drawing file including the property information of the building to use the parameter value of the Kirchner algorithm.

In step S420, the parameters including the number of people, the number of people to evacuate, the speed, and the degree of understanding of buildings in each compartment space of the situations to be created by the user are set and inputted.

Step S420 can be described in more detail with reference to FIG. 6 is a reference diagram for inputting parameters in the simulation engine 130. [

6 is an execution screen of the simulation engine 130. Fig. In order to execute the evacuation simulation, the drawing file of the modeled building material for each compartment space is informed and environment setting is made so that it can be displayed on the 2D and 3D map. The program user can apply the evacuation process through the simulation engine 130 after applying the attribute information such as the number of people to evacuate, the speed of the person, and the understanding degree of the building to the people in the simulation, and simulate the evacuation process.

6 shows an example of a screen for setting values of K _S and K _D as parameters of the Kirchner algorithm as an algorithm setting screen. The program user can set K _S , K _D You can change the value. K _S , and K _D are sensitivity parameters that allow the user to change the values of rational decision and crowd-dependent tendencies. In addition, the spreading values applied to the Kirchner algorithm can be displayed and modified. The simulation engine 130 provides the evacuation simulation result data such as the escape time, the longest distance, and the number of persons in the text format so that it can be viewed through the result information window on the screen after the completion of the task execution. However, the present invention stores the result of the simulation engine 130 in the simulation DB 120 in preparation for disconnection of the communication interface between the sensors due to disaster damage.

In step S430, the simulation engine 130 uses the Kirchner algorithm to change the values of the static floor field and the dynamic floor field according to the parameter data input in step S420, Create conditions to create evacuation routes.

Step S440 is a part waiting for storing the large amount of data calculated by the simulation engine 130 in the summary and simulation DB 120. [

Step S450 is a route in which the simulation engine 130 continues to perform step S430 using the Kirchner algorithm until the specified number of times is met if the designated number of times is not reached. If it is satisfied, the process goes to step S460.

Step S460 stores the data that has been performed the specified number of times in the simulation DB 120. [

S430 of FIG. 4 can be explained in more detail with reference to FIG. 4 is an algorithm operation flowchart for the evacuation path with the input parameters.

In step S431, calculation is performed according to the two floor fields preferentially according to the data in which the static / dynamic value is input.

Step S432 calculates a cell score of all the cells.

In step S433, the static value of the cell-based static floor field and the dynamic value of the dynamic floor field are calculated, and the dynamic value of the dynamic floor field is multiplied to calculate its own cell score, and then the cell to be moved is selected. The static floor field is a field indicating a 'tendency to escape in the shortest path', and the dynamic floor field is a field indicating 'a tendency to escape depending on others'.

In step S434, the pedestrian starts to move toward the cell having the smallest cell score value among the adjacent cells.

In step S435, if there is no other pedestrian or obstacle in the selected cell, and the process of moving the pedestrian to the next cell is successful, step S436 is executed. If the pedestrian has not moved, step S437 is performed.

Step S436 increases the dynamic value of the cell to which the pedestrian has moved.

Step S437 diffuses the dynamic floor field to increase the dynamic value of the surrounding cells. After a predetermined time, the dynamic floor field is attenuated to reduce the dynamic value of the related cells again.

Step S438 is repeated cyclically from step S432 until the pedestrian moves and leaves the lane and the pedestrian becomes a lost luck to the exit. The footstep until the pedestrian is routed to the escape hut is recorded and the escape route is indicated by a line .

3. Each DB A step of extracting a simulation corresponding to the distribution information of the number of persons, S230 >

In step S240, when the disaster detection value is input in the sensing unit 160, the initial values of the operation of the control unit 110 are set and matching is performed to each of the personnel DB 140 and the simulation DB 120 so that data can be interlocked. The personnel distribution information of the necessary personnel DB 140 and the personnel distribution information of the simulation DB 120 are used. When reception is completed, matching of the personnel distribution information of the simulation DB 120 is started based on the personnel distribution information of the personnel DB 140. Euclidean distance is used to determine the degree of similarity to the personnel information of each room. The distribution of the personnel in the same space is inserted into Equation 1, and the simulation closest to 0 is determined to be similar The evacuation path included in the simulation DB is selected and transmitted to the output unit.

FIG. 8 is a reference diagram for matching the data of the personnel DB and the simulation DB in the control unit according to an embodiment of the present invention.

4. Outputting the extracted simulation Step < S240 >

In step S240, the simulation extracted in step S230 is received, and 2D and 3D visualization is performed on a multimedia medium connected to the control unit 110 to provide an optimized evacuation route and method.

By evacuating the evacuation situation through evacuation simulation, it is possible to minimize the damage by preliminarily calculating the result of the victimization before the accident, and it is possible to quickly evacuate by knowing the dense area of the people based on the drawing file including the information of the building The safety can be increased.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. Various modifications and variations may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .

100: Output section
110: control unit 120: simulation DB
130: Simulation engine 140: Person DB
150: sensor unit 160:

Claims (20)

A personnel DB storing personnel distribution data obtained by sensing real-time information on the entrance / exit of a person from a sensor unit installed in each partition space in real time in real time;
A simulation DB for storing evacuation paths including the distribution information of the personnel as the simulation result values by using the characteristics of the building material inputted to the simulation engine, the personnel distribution information for each compartment space, and the algorithm parameters;
Calculating a personnel difference for each of the segmented spaces by using Euclidean distance between the personnel distribution data of the personnel DB and the simulation result values of the simulation DB when actual disaster or fire occurs, A control unit for extracting the evacuation path included in the simulation DB having a value closest to zero; And
An output unit receiving and displaying the extracted evacuation route;
Lt; / RTI &gt;
The personnel distribution data
Wherein the sensor unit is personnel distribution data of the personnel DB updated by counting the number of people entering and leaving the respective compartment spaces at predetermined time intervals. delete The method according to claim 1,
The personnel DB,
A disaster evacuation system that provides evacuation simulation results, including information on the number of people per room, the total number of staff rooms, and the time of storage.
The method according to claim 1,
In the simulation DB,
A floor field model is used and it is composed of the number of people, the total number of people in the room, the number of evacuees per exit, the total evacuation time, the algorithm type, the algorithm parameters and the evacuation time per second, And storing the simulated result in the simulation DB, wherein the simulated result is stored in the simulation DB.
The method according to claim 1,
The simulation engine includes:
And the occupancy of the cell recording the number of times occupied by the pedestrian for each cell in the partition space.
The method according to claim 1,
The simulation engine includes:
A disaster evacuation system for providing a result of evacuation simulation including spatial modeling by visualizing the structure information of the building material on the basis of the structure information of the building material,
The method according to claim 1,
The simulation engine includes:
A static value indicating a tendency to escape in the shortest path and a dynamic value indicating a tendency to escape in dependence on a person in the escape are obtained, and the simulation result data is generated by finding the optimal evacuation route by multiplying the static value and stored in the simulation DB A disaster evacuation system that provides evacuation simulation results.
8. The method of claim 7,
The simulation engine includes:
Wherein the optimal evacuation route is found by applying a Kirchner algorithm that reflects the clustering phenomenon during evacuation simulation to provide evacuation simulation results.
9. The method of claim 8,
The Kirchner algorithm can be used to:
_{P ij = N exp (K D} * D ij) * exp (K S * S ij) * (1-N ij) * Y ij is defined by the equation, P _ij is the cell score, exp (K _D * _{D ij} is the dynamic value of the cell, exp (K _S * S _ij ) is the static value of the cell, mobility (1-N _ij ) is whether the actor is present in the cell, Y _ij is whether the obstacle exists in the cell Which is a value indicating whether or not the evacuation simulation is performed.
The method according to claim 1,
The output unit includes:
And outputting the 2D and 3D images using the evacuation path of the simulation extracted by the control unit.
Storing personnel distribution data obtained by sensing in real time the access information of a person from a sensor unit installed in each partition space in real time in a real time building;
Storing a evacuation route including personnel distribution information as a simulation result value in a simulation DB by using the characteristics of a building to be inputted to a simulation engine, information on the distribution of personnel for each division space, and algorithm parameters;
Calculating a personnel difference for each of the segmented spaces by using Euclidean distance between the personnel distribution data of the personnel DB and the simulation result values of the simulation DB when actual disaster or fire occurs, Extracting the evacuation path included in the simulation DB having a value closest to 0 in the control unit; And
Receiving and displaying the extracted evacuation route at an output unit;
Lt; / RTI &gt;
The personnel distribution data
Wherein the sensor unit is the personnel distribution data of the personnel DB updated by counting the number of people entering and leaving the respective compartment spaces at predetermined time intervals. delete 12. The method of claim 11,
The personnel DB,
A disaster evacuation method that provides evacuation simulation results, including information on the number of people by indoor space, the total number of staff members, and the storage time.
12. The method of claim 11,
In the simulation DB,
A floor field model is used and it is composed of the number of people, the total number of people in the room, the number of evacuees per exit, the total evacuation time, the algorithm type, the algorithm parameters and the evacuation time per second, And storing the simulated result in the simulation DB, wherein the evacuation simulation result is stored in the simulation DB.
12. The method of claim 11,
The simulation engine includes:
And the occupancy of the cell recording the number of times occupied by the pedestrian for each cell in the segment space.
12. The method of claim 11,
The simulation engine includes:
A disaster evacuation method for providing a result of evacuation simulation including spatial modeling by visualizing the structure information of the building material on the basis of the structure information of the building material,
12. The method of claim 11,
The simulation engine includes:
A static value indicating a tendency to escape in the shortest path and a dynamic value indicating a tendency to escape in dependence on a person in the escape are obtained, and the simulation result data is generated by finding the optimal evacuation route by multiplying the static value and stored in the simulation DB A disaster evacuation method that provides evacuation simulation results.
18. The method of claim 17,
The simulation engine includes:
Wherein the optimal evacuation route is found by applying a Kirchner algorithm that reflects the clustering phenomenon during evacuation simulation.
19. The method of claim 18,
The Kirchner algorithm can be used to:
_{P ij = N exp (K D} * D ij) * exp (K S * S ij) * (1-N ij) * Y ij is defined by the equation, P _ij is the cell score, exp (K _D * _{D ij} is the dynamic value of the cell, exp (K _S * S _ij ) is the static value of the cell, mobility (1-N _ij ) is whether the actor is present in the cell, Y _ij is whether the obstacle exists in the cell And a value indicating whether the evacuation simulation is performed.
12. The method of claim 11,
The output unit includes:
And outputting the 2D and 3D images using the evacuation path of the simulation extracted by the control unit.

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