KR20160138647A - Method and apparatus for predicting disaster of chemical substance based on grating structure - Google Patents

Method and apparatus for predicting disaster of chemical substance based on grating structure Download PDF

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KR20160138647A
KR20160138647A KR1020150072739A KR20150072739A KR20160138647A KR 20160138647 A KR20160138647 A KR 20160138647A KR 1020150072739 A KR1020150072739 A KR 1020150072739A KR 20150072739 A KR20150072739 A KR 20150072739A KR 20160138647 A KR20160138647 A KR 20160138647A
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chemical
information
emission
distance
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KR101735792B1 (en
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권혜옥
김성준
최성득
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울산과학기술원
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Abstract

A method for predicting a chemical disaster based on a lattice structure according to the present invention comprises the steps of constructing a DB block by classifying the toxic chemical substances that can be discharged from the target area into the emission amount, toxicity and physical property of each material, The process of deriving the potential hazard-incapable substances into a plurality of groups based on the emission amount of the chemical substance, the number of the emission companies, the toxicity class and the explosion limit, and the process of calculating the concentration of the potential incidents, Extracting a potential accident area based on the distance from the residential area as a reference factor and deriving a hazard management method for the hazardous chemical substance based on the extracted potential accident area.

Description

[0001] METHOD AND APPARATUS FOR PREDICTING DISASTER OF CHEMICAL SUBSTANCE BASED ON GRATING STRUCTURE [0002]

The present invention relates to a technique for predicting a disaster caused by a hazardous chemical substance. More specifically, the present invention utilizes information related to toxic chemicals built in the DB to derive an accident possible material and an area where an accident can occur, Based disaster prediction method and apparatus for establishing a disaster prediction based on the method of the present invention.

Generally, the Hazardous Chemical Control Act is a basic law for managing chemical substances in a specific area (for example, by country), and includes safety management of chemical substances, investigation of circulation amount, and response to chemical substances.

Here, toxic substances including formaldehyde, handling restriction substances including methyl bromide, prohibition substances such as parathion, accident-preventing substances such as methanol, and the like, 2,5-dichloro There may be observable substances such as nitrobenzene and the like.

In recent years, weekly safety accident risk forecasts (for example, accident prediction of hazardous chemicals, etc.) have been carried out at specific regional units (for example, metropolitan cities and metropolitan areas), and real- The safety risk prediction service has a relatively low spatial resolution. Therefore, if an accident occurs in a small area (eg, town, town, or city) There is a problem that it does not provide a method.

Korean Patent Laid-Open Publication No. 2014-0028489 (Publication date: 2014. 03. 10)

The present invention is based on a lattice structure based on the density of the substance to be managed, the amount of the substance to be discharged, the distance from the residential area, and the evacuation radius based on the geographical characteristics and the meteorological characteristics, And to propose a chemical disaster prediction technique.

The problems to be solved by the present invention are not limited to those mentioned above, and another problem to be solved by the present invention can be clearly understood by those skilled in the art from the following description will be.

According to one aspect of the present invention, there is provided a method of manufacturing a semiconductor device, comprising the steps of: constructing a DB block by classifying harmful chemical substances that can be discharged from a target region into emission amounts, toxicity, and physical properties of the materials; The number of companies, the degree of toxicity, and the explosion limit as a reference factor, and calculating the distance between the company density, company-specific emissions, and the residential area based on the potential potential accident material A method of predicting a chemical disaster based on a lattice structure including a process of extracting a potential accident area as a reference factor and a process of deriving an accident management plan of a hazardous chemical substance based on the extracted potential accident area do.

The derivation process of the present invention may apply a different weight to each of the emission amount, the number of emission companies, the toxicity grade, and the explosion limit when deriving the potential incidents.

The plurality of groups of the present invention may include a first group of special management targets, a second group of general management targets, and a third group of simple management targets.

The process of extracting the potential contingent area of the present invention comprises the steps of: dividing the target area into a grid of a predetermined size; and displaying a company that discharges the potential contingent material as a GIS, Calculating the emission amount of the target substance by lattice by summing up emissions of the respective substances contained in one grid, calculating a distance between the minimum distance and the maximum distance based on the area having the highest population density per unit area, Calculating a distance average from the region, calculating a final score by standardizing the calculated business density, emission amount, and distance average, and determining a management target area based on the calculated final score .

The vendor density of the present invention can be weighted differently based on the number of venturers in a grid.

The emissions of the present invention can be weighted differently based on the sum of emissions from a number of emissions companies in a grid.

The distance average of the present invention can be applied to a relatively higher weight as the distance average from the residential area becomes smaller.

The process of converting the final score of the present invention can be performed by applying a weights, an emission weight, and a distance-based weight for each lattice.

The management area of the present invention can be determined in consideration of the evacuation radius and the meteorological characteristics based on geographical characteristics.

According to another aspect of the present invention, there is provided a data collection system comprising: a data collection block for collecting relevant information on hazardous chemicals which can be discharged from a target area, map information and meteorological characteristic information; A substance deriving block for deriving a potential accident-causing substance by dividing the substance into a plurality of groups based on the DB block, the amount of the toxic chemical substance, the number of the toxic chemicals, the toxicity grade, and the explosion limit stored in the DB block, A region extracting block for extracting a potential accident-causing area based on the potential accident-causing substance based on a business density, a company-specific discharge amount, and a distance from a residential area; and a region extracting block for extracting a hazardous chemical Based on a grid structure that includes a management plan derivation block Provide school materials disaster forecasting system.

The DB block of the present invention includes an emission DB storing information on the types, amounts, and amounts of toxic chemical substances of each emission company, a toxicity DB storing toxic information of each toxic chemical, A physical property DB for storing physical property information, a map for storing location information and map information mapped on the map by the location and population density of the exporter, and a map and a weather information DB for storing the meteorological characteristic information measured at each predetermined observation point .

The area extracting block of the present invention may include a grid separator for separating the target area into a grid of a certain size and a cluster extractor for extracting the potential accident- An emission calculation unit for calculating the emission amount of the target substance by lattice by summing up emissions of the respective substances included in one grid and a calculation unit; A distance calculation unit for calculating a distance average from the area, a point conversion unit for standardizing the calculated business density, discharge amount and distance average, and converting the average value into a final score, and a management area based on the calculated final score And a target area determination unit.

The density calculation unit of the present invention can apply a differential weight based on the number of the emission companies in one grid.

The emission calculator of the present invention can apply a differential weight based on the sum of the emissions of the number of emissions in a grid.

The distance calculation unit of the present invention can apply a relatively high weight to the residential area as the distance average is small.

The target area determining unit of the present invention can determine the area to be managed in consideration of the evacuation radius and meteorological characteristics based on geographical characteristics.

The present invention derives an accident management plan for hazardous chemical substances by region considering the concentration of the substance to be controlled (toxic chemical substance), the discharge amount of the substance, the distance from the residence area, and the evacuation radius and meteorological characteristics based on the geographical characteristic By doing so, it is possible to realize fast and precise countermeasures against disasters of toxic chemicals on a small-area basis.

1 is a schematic diagram of a disaster prediction system suitable for applying a lattice structure based chemical disaster prediction apparatus according to the present invention.
2 is a detailed block diagram of a DB block applied to a lattice structure-based chemical disaster prediction apparatus according to the present invention.
3 is a detailed block diagram of a region extraction block applied to a lattice structure-based chemical disaster prediction apparatus according to the present invention.
FIG. 4 is a flowchart showing a main procedure for predicting a hazardous chemical substance disaster based on a lattice structure according to the present invention.
FIG. 5 is a table showing the emission information, toxicity information, and physical property information for various toxic chemicals requiring disaster prediction.
FIG. 6 is a table showing examples of potential incidents and weights for each factor. FIG.
Figure 7 is an exemplary diagram illustrating an example of deriving a weighted sum for each potential morbid material.
FIGS. 8A to 8F are diagrams showing examples of a map information screen showing an example of expressing business density, emission amount, distance average, grid score, and management target area by GIS for each grid.

First, the advantages and features of the present invention, and how to accomplish them, will be clarified with reference to the embodiments to be described in detail with reference to the accompanying drawings. While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

In the following description of the present invention, 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. It is to be understood that the following terms are defined in consideration of the functions of the present invention, and may be changed according to intentions or customs of a user, an operator, and the like. Therefore, the definition should be based on the technical idea described throughout this specification.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic diagram of a disaster prediction system suitable for applying a lattice structure based chemical disaster prediction apparatus according to the present invention.

1, a disaster prediction system physically connectable through a network 120 including the Internet may include an information providing group 110 and a disaster prediction server 130. Here, (130) can be defined as a lattice structure based chemical disaster prediction apparatus according to the present invention.

The information providing group 110 stores information such as a chemical information system 111, a toxicity information system 113, a chemical characteristic data system 115, a map information system 117 and a weather information system 119, .

First, the chemical information system 111 may mean an information server installed in the National Institute of Environmental Science or the like in Korea, for example, and may include information on the amount of chemical substances (or harmful chemical substances) emitted (for example, concentration information, ), Movement amount information, and the like to the disaster prediction server 130 through the network 120. Here, as the harmful chemical substance, various substances such as those shown in the table in Fig. 5 may exist as an example.

The toxicity information system 113 may mean a toxicity classification server installed in, for example, the International Cancer Institute (IARC), and may include toxicity information (e.g., toxicity grade, hazard ratio, etc.) for various toxic chemicals To the disaster prediction server 130 through the network 120. [

The chemical characteristic data system 115 may be a characteristic data server installed in the Korea Safety and Health Corporation, for example, and may transmit information on the physical properties of harmful chemical substances such as explosion limit, To the server 130 side.

In addition, the map information system 117 can provide, for example, map information in which locations of disposers and population density are mapped on the map to the disaster prediction server 130 side via the network 120, The weather forecasting server 119 provides meteorological characteristics information (weather information including coordinate information) such as wind direction, wind speed, seasonal wind, sea breeze and the like actually measured at each observation point to the disaster prediction server 130 via the network 120 .

Next, the disaster prediction server 130 refers to a lattice structure-based chemical disaster prediction apparatus according to the present invention, and includes a data collection block 131, a DB block 133, a material derivation block 135, An extraction block 137 and a management policy derivation block 139, and the like.

First, the data collection block 131 collects toxic chemical-related information (for example, the amount / amount of discharge of each harmful chemical substance, the toxicity information of each harmful chemical substance, and the amount of toxic chemical substances transferred from each system in the information providing group 110) Information on physical properties of toxic chemicals, etc.), map information, and meteorological characteristic information, and stores the information in each DB in the DB block 133. [

2, the DB block 133 includes an exhaust amount DB 1331, a toxicity DB 1332, a physical property DB 1333, a map and weather information DB 1334, and an analysis information DB (1335), and the like.

That is, information on the kinds of hazardous chemical substances, discharge amounts, transfer amounts, and the like for each discharge source is stored in the discharge amount DB 1331, and the toxicity DB 1332 stores toxicity information for each harmful chemical substance such as toxicity level, Toxicity information is stored, and physical property information of each harmful chemical substance such as explosion limit and the like can be stored in the physical property DB 1333. [

In the map and weather information DB 1334, for example, map information mapped to a map such as position and population density of each emission company, and meteorological characteristics such as wind direction, wind velocity, monsoon wind, (E.g., weather-related characteristic information including coordinate information), and the analysis information DB 1335 stores analysis information (for example, potential incoherent substances, potential incidents of accidents, accident management plans, etc.) ) And information related to disaster prediction can be stored.

Here, the related information stored in each DB in the DB block 133 may be automatically updated (automatically updated) at predetermined intervals or may be updated non-periodically according to a request by the operator (or manager) of the disaster prediction server .

Referring again to FIG. 1, the substance derivation block 135 determines four kinds of substances, for example, the amount of the harmful chemical substance, the number of the emitted substance, the toxicity grade, and the explosion limit, based on the information stored in each DB in the DB block 133 It is possible to provide a function of extracting (selecting) a potential accident-causing substance (for example, an accident-causing substance of the kind described in the table of Fig. 5) by dividing it into a plurality of groups as a reference factor. The potential contingent material derived here can be stored in the analysis information DB 1335 in the DB block 133. [

In other words, the substance derivation block 135 may be used to determine, for example, the number of emissions, the number of emissions, the toxicity , Explosion limit), the total sum of each substance is derived, and based on the deduced total, the potential group is classified into the first group of special management targets, the second group of general management targets, The third group of the management subject can be selected (deduced).

As an example, as shown in Fig. 7, after deriving the sum of weights for each substance, for example, the upper 5% is the first group of special management objects, 10% is classified into the second group of general management subjects, and more than 10% is classified into the third group.

In terms of emissions, chemical substances emitted by each company are listed as substances that represent the greatest amount of emissions, and the ratio of the substance to total emissions can be calculated. In relation to the number of emissions, It is possible to calculate the ratio of the number of companies to the number of companies that produced the substance.

For example, the IARC classification standard 1 has a weight of 100, a weight of 75, a weight of 70, a weight of 50, a weight of 50, a weight of 50, For NA, weights 25 can be applied.

For example, since benzene is defined as a first-level carcinogen, a weight of 100 is applied, and toluene is classified as IARC 3, so a weight of 50 is applied. have.

In addition, the explosion limit of the physical properties of toxic chemicals is generally indicated as the minimum-maximum value, and the larger the limit range, the higher the explosion risk. In the present invention, this limit range is used as the weight. As an example, the explosion limit of isopropanol is 2 to 12%, so 10 is applied as a weight and the explosion limit of 2-methoxyethanol is 2.3 to 24.5%, so 22 can be applied as a weight.

After sorting the factors calculated in the above-described process in descending order, the potential accident-causing substances are classified into groups (for example, a first group of special management objects, a second group of general management objects, a third group of simple management objects, As shown in Fig. Here, substances other than specially controlled substances and general controlled substances, that is, substances which are simply controlled, may be substances which are relatively harmful in case of accidents or accidents in comparison with the two groups.

However, the present invention is not necessarily limited to the four factors (emission amount, number of emissions, toxicity, and explosion limit). However, the present invention is not necessarily limited thereto. It is needless to say that it is possible to add another new factor or to change (substitute) another factor depending on the use or the like.

Next, the area extracting block 137 extracts the potential incidents possible area based on the business density, the company-specific emissions, and the distance average from the residential area, based on the potentially incurable materials derived through the material derivation block 135 For example, a configuration as shown in FIG. 3 may be used as an example. The potential accident area extracted here can be stored in the analysis information DB 1335 in the DB block 133. [

FIG. 3 is a detailed block diagram of a region extraction block applied to the apparatus for predicting a chemical disaster based on a lattice structure according to the present invention, which includes a lattice classifier 1371, a density calculating unit 1372, a discharge calculating unit 1373, A distance calculation unit 1374, a point conversion unit 1375, and a target area determination unit 1376, for example.

Referring to FIG. 3, the lattice classifier 1371 classifies a target area for disaster prediction into lattices of a predetermined size, that is, a lattice of a predetermined size, for example, as shown in 8a, .

In addition, the density calculation unit 1372 may display a company that discharges the potentially inconvenienced material, for example, as a GIS as shown in FIG. 8B, and calculate a density of a company according to a target material by using a weighted weight (for example, A different weight based on the number of emissions in a grid).

The emission amount calculation unit 1373 calculates the emission amount of the target substance by adding the emission amount of each company included in one grid to a method of assigning different weights (differential weight based on the emission amount of the number of emission companies in one grid) As shown in Fig. 8C as an example, it is possible to provide a function of displaying it as a GIS or the like.

Next, the distance calculator 1374 can calculate a distance average of the minimum distance and the maximum distance based on the area having the highest population density per unit area, and calculate a distance average from each residence area by each grid , A relatively high weight is applied as the distance average from the residential area becomes smaller, and the function of expressing the GIS as shown in FIG. 8D can be provided as an example.

The point conversion unit 1375 standardizes the business density calculated through the density calculation unit 1372, the emission amount calculated through the emission calculation unit 1373, and the distance average calculated through the distance calculation unit 1374 And converting it into the final score for each lattice in the manner shown in Fig. 8A. As an example, it is possible to provide a function of expressing it as a GIS as shown in Fig. 8E.

Then, the target area determination unit 1376 can determine the management area based on the final score calculated for each lattice, that is, the sum of the weights by the emitter, the weight of the emissions, and the weight by distance. For example, as shown in FIG. 8F, in the case of the specially controlled substance, since three lattices of nine items are selected, the most redundant lattice in the selected lattice is determined (deduced) as a special management target area, In the case of the target substance, three lattices can be selected for each of six items, and the most redundant lattice can be determined (derived) as a general management target area.

Here, when determining the management target area (special management target area, general management target area, and the like), the target area determination unit 1376 sets the evacuation radius based on the geographical characteristics provided from the map and weather information DB 1334, (For example, wind direction, wind speed, monsoon wind, sea breeze, etc.) can be considered.

Referring again to FIG. 1, the management policy derivation block 139 is configured to determine whether a specific hazardous chemical substance is present in a specific management area and a general management area (potential accident area) derived based on a grid structure of a predetermined size And to develop an accident management plan. The incident management scheme derived here can be stored in the analysis information DB 1335 in the DB block 133. [

In other words, setting up evacuation routes due to hazardous chemicals is one of the most important management measures, which should be set differently depending on the substance to be managed and the area to be managed. For example, if there is no residential area within the evacuation radius (for example, 2 km or less) for each substance under special management, an accident management plan is prepared so that the evacuation can be properly performed for each company after the accident, Can be minimized.

As another example, if a residential area is formed within 2 km of the evacuation radius to the south and north of the inland industrial complex at the determined (derived) point, the influence of the sea breeze will not be large, Considering only the toxic chemical accident can affect the residential area at any time, except when the northwest monsoon dominates in winter. Therefore, taking into consideration these points, it will be possible to derive the evacuation route for accidental chemical substances according to the season as an accident management plan.

Next, a series of processes for predicting a chemical disaster based on a lattice structure will be described in detail using a chemical disaster prediction apparatus according to this embodiment having the above-described configuration.

FIG. 4 is a flowchart showing a main procedure for predicting a hazardous chemical substance disaster based on a lattice structure according to the present invention.

4, in the data collection block 131, information related to toxic chemicals transmitted from each system in the information providing group 110, for example, information on the amount / amount of discharge of each harmful chemical substance, Toxicity information, physical property information of each harmful chemical substance, map information, and meteorological characteristic information are collected and a DB block 133 is constructed (step 402).

In the DB 1331, information on the types of hazardous chemical substances, the amount of emissions, and the amount of movement of each emission source is stored in the DB 1331. Toxicity DB 1332 stores information on the toxicity of each harmful chemical substance, Toxicity information such as hazard ratio is stored. In the physical property database 1333, property information of each harmful chemical substance such as explosion limit is stored.

In the map and weather information DB 1334, for example, map information mapped to a map such as position and population density of each emission company, and meteorological characteristics such as wind direction, wind velocity, monsoon wind, Information (weather characteristic information including coordinate information) is stored.

Next, in the material derivation block 135, based on the information stored in each DB in the DB block 133, for example, four kinds of hazardous chemical substance emission amount, the number of the emission companies, the toxicity grade, The potential contingent material is divided into a plurality of groups, for example, a first group of special management objects, a second group of general management objects, and a third group of simple management objects (step 404).

Then, in order to extract the potential accident area, the grid divider 1371 divides the area to be disaster forecasted into grids having a predetermined size and assigns serial numbers to the grids (step 406).

Again, the density calculation unit 1372 assigns the density of the companies according to the target substances, which are discharged from the potential accident-causing substances, to the respective weights (for example, a differential weight based on the number of the emission companies in one grid) (Step 408).

In addition, the emission amount calculation unit 1373 calculates the emission amount of the target material by adding a different weight value for each lattice, for example, a different weight based on the emission amount of the number of emission companies in one grid (Step 410).

Then, the distance calculation unit 1374 calculates a distance average from the residential area as a distance average of the minimum distance and the maximum distance based on the area having the highest population density per unit area (step 412). Here, the smaller the average distance from the residential area, the higher the weight can be applied.

Next, the score conversion unit 1375 converts the company density, the emission amount, and the calculated distance average into a final score for each grid in a manner of standardizing them (step 414).

Then, the target area determination unit 1376 determines the management target area based on the final score calculated for each lattice, that is, the sum of the weights by the emitter, the weight of the emissions, and the weight by distance (step 416). Here, the management target area can be divided into the special management target area and the general management target area, and the evacuation radius and meteorological characteristics based on the geographical characteristics provided from the map and weather information DB 1334 can be considered.

Finally, in the management policy derivation block 139, a risk management method of hazardous chemical substances for the specific management area and the general management area (potential potential area) derived based on the grid structure of a certain size is determined (Step 418), an accident management scheme for the hazardous chemicals by region based on the grid structure derived therefrom can be stored in the analysis information DB 1335 in the DB block 133.

It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention as defined by the following claims. It is easy to see that this is possible. That is, the embodiments disclosed in the present invention are not intended to limit the scope of the present invention but to limit the scope of the present invention.

Therefore, the scope of protection of the present invention should be construed in accordance with the following claims, and all technical ideas within the scope of equivalents should be interpreted as being included in the scope of the present invention.

131: Data collection block 133: DB block
135: Substance derivation block 137: Region extraction block
139: Derivation of management plan 1331: Emission DB
1332: Toxicity DB 1333: Property DB
1334: map and weather information DB 1335: analysis information DB
1371: Grid separator 1372: Density calculator
1373: emission calculation unit 1374: distance calculation unit
1375: score converting unit 1376: target area determining unit

Claims (16)

The process of establishing DB blocks by classifying the hazardous chemicals that can be discharged from the target area into the emissions, toxicity,
A step of deriving a plurality of potential accident materials as a plurality of groups based on the emission amount of the toxic chemical substance, the number of the emission companies, the toxicity grade, and the explosion limit,
Extracting a potential accident area based on the obtained potential accident material based on the density of the business, the emission amount per company, and the distance from the residential area;
The process of deriving accident management plan for hazardous chemical substances by region based on the potential potential accident area extracted
Wherein the chemical disaster prediction method is based on a lattice structure.
The method according to claim 1,
The step of deriving comprises:
When deriving the potential hazardous material, different weights are applied to each of the emissions, the number of exporters, the toxicity class, and the explosion limit
A method of predicting chemical disaster based on lattice structure. The method according to claim 1,
Wherein the plurality of groups comprises:
A first group of special management targets, a second group of general management targets, and a third group of simple management targets
A method of predicting chemical disaster based on lattice structure.
The method according to claim 1,
The process of extracting the potentially accident-
Dividing the target area into a grid of a predetermined size;
A step of calculating the density of the companies according to the target substances by lattice by displaying the companies that discharge the potential accident-causing substances as GIS,
Calculating the emission amount of the target substance by a lattice by summing emission amounts of each company included in one lattice;
Calculating a distance average from a residential area as a distance average of a minimum distance and a maximum distance based on an area having the highest population density per unit area;
Standardizing the calculated company density, emission amount, and distance average, and converting the result into a final score;
The process of determining the area to be managed based on the calculated final score
Wherein the chemical disaster prediction method is based on a lattice structure.
5. The method of claim 4,
The company density,
Based on the number of emissions in one grid, a different weight is applied
A method of predicting chemical disaster based on lattice structure.
5. The method of claim 4,
The above-
Based on the sum of emissions from a number of emissions companies in one grid, a differential weight is applied
A method of predicting chemical disaster based on lattice structure.
5. The method of claim 4,
The distance average,
As the distance average from the residential area is smaller, a relatively higher weight is applied
A method of predicting chemical disaster based on lattice structure. 5. The method of claim 4,
The process of converting the final score includes:
Each lattice is calculated by applying the weights by emitter, the emission weight, and the weight by distance
A method of predicting chemical disaster based on lattice structure.
The method according to claim 1,
Wherein,
It is determined by considering the evacuation radius and meteorological characteristics based on geographical characteristics.
A method of predicting chemical disaster based on lattice structure.
A data collection block for collecting information related to hazardous chemicals which can be discharged from the target area, map information and meteorological characteristic information,
A DB block for storing each information collected through the data collection block,
A substance deriving block for deriving a plurality of potential accident-causing substances from a plurality of groups based on the emission amount of the toxic chemical substance, the number of the emission companies, the toxicity grade, and the explosion limit,
A region extracting block for extracting a potential accident-causing area based on the obtained potential accident-causing material based on a business density, a company-specific emission amount, and a distance from a residential area as a reference factor,
Based on the extracted potential accident area, a management plan derivation block for deriving a hazard management method for hazardous chemical substances by region
Wherein the chemical disaster prediction device is a grid-based chemical disaster prediction device.
11. The method of claim 10,
In the DB block,
An emission DB storing information on the types of hazardous chemical substances, emission amounts, and transportation amounts of each emission source,
Toxicity DB that stores toxicological information of each harmful chemical substance,
A physical property DB storing physical property information of each harmful chemical substance,
Map information storing location information and map information of the location and population density of each discharger and meteorological characteristics information measured at each predetermined observation point, and weather information DB
Wherein the chemical disaster prediction device is a grid-based chemical disaster prediction device.
11. The method of claim 10,
The region extracting block,
A grid divider for dividing the target area into a grid of a predetermined size,
A dense density calculating unit for denoting a company that discharges the potentially accidental substance as a GIS,
An emission calculation unit for calculating a emission amount of the target material by lattice by summing emission amounts of each company included in one grid,
A distance calculation unit for calculating a distance average from a residential area as a distance average of a minimum distance and a maximum distance based on an area having the highest population density per unit area,
A point conversion unit for standardizing the calculated company density, emission amount, and distance average to convert into a final score,
And a target area determination unit for determining a management target area based on the calculated final score
Wherein the chemical disaster prediction device is a grid-based chemical disaster prediction device.
13. The method of claim 12,
The density-
Applying different weights based on the number of emissions in one grid
A lattice structure based chemical disaster prediction system.
13. The method of claim 12,
The amount-
Applying different weights based on the sum of emissions from a number of emissions in one grid
A lattice structure based chemical disaster prediction system.
13. The method of claim 12,
The distance calculator calculates,
As the distance average from the residential area is smaller, a relatively higher weight is applied
A lattice structure based chemical disaster prediction system.
13. The method of claim 12,
The target area determination unit may determine,
The area to be managed is determined in consideration of the evacuation radius and meteorological characteristics based on geographical characteristics
A lattice structure based chemical disaster prediction system.
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