KR102535697B1 - A system that selects priority risk treatment targets using the safety Sinmungo - Google Patents

Abstract

The present invention relates to a system for selecting risk treatment priorities by classifying and analyzing on a computer the contents reported in a safety Sinmungo (reporting system) for reporting disasters and hazardous situations, wherein the system comprises: a data collection part to receive safety Sinmungo data, map DB, common analysis GIS data, and GIS data for each disaster type; a data analysis part to analyze the collected data to classify disaster types and select GIS data for each disaster type; and a map mapping/matching part for matching the collected data to the map. The data collection part collects only disaster-related information through keyword search based on preset keyword set information for each disaster safety type. In the data analysis part, disaster types are classified according to the disaster type to which the classification keywords included in the safety Sinmungo report belong. The map mapping/matching part forms a first map by mapping the reporting location on the map according to the reporting location of the safety Sinmungo data, a second map by mapping the common analysis GIS data on the map, and a third map by mapping the GIS data for each disaster type onto the map according to the disaster type classified by disaster type, and matches the first, second, and third maps in order to select areas with overlapping risk areas as risk treatment priorities.

Description

A system that selects priority risk treatment targets using the safety Sinmungo}

The present invention relates to a system for selecting priority targets for risk management by classifying and analyzing the reported contents in a safety report for reporting disasters and hazardous situations on a computer,

By analyzing the reported type and current status, it is possible to identify signs before an accident occurs, so that all accidents can be prevented in advance with only the contents reported in the Safety Report Center, and prioritized objects are mapped and displayed on the map It is about a system for selecting priority targets for risk management using safety reports that enable easy identification and prompt and accurate response.

In order to secure public safety from disasters or other accident risks, it is necessary to catch and report signs in advance before an accident occurs.

Accordingly, the Ministry of Public Administration and Security has established a safety report system so that all citizens can monitor and report disasters.

If you find a risk factor in your daily life, you can take a picture or post it by writing it through the safety report app. Safety reports include life safety, traffic safety, facility safety, school safety, and child safety. It includes fields and includes everything from hardware-like things to software-like things such as customs, laws and systems.

For example, 'school safety' includes 'school route, school zone, safety security, school facility safety security, etc.', and 'living safety' includes 'safety of living facilities such as hiking trails, walking trails, observatory, etc.' A, For 'traffic safety', 'traffic lights not lit, risk factors due to road pavement and painting', and for 'facility safety', 'threats to residents' safety such as cracks in apartment retaining walls and runoff of reinforced soil', and 'industrial safety' ' for 'electrocution risk, gas storage sales establishments, non-compliance with safety standards, etc.', 'social safety' for 'cyber safety, sexual violence, prostitution, food poisoning, unhealthy food, etc.', and 'maritime safety' for 'marine safety' Illegal docking, passenger facility safety, passenger safety, etc.' and 'others and multi-departments' include 'enhancement of safety awareness, review of safety laws, etc.'

9 and 10 are screens illustrating actual safety reported contents and processing results in the safety newspaper operated by the Ministry of Public Administration and Security,

For example, you can report the photo together with the content "There is a wasp nest at the bus stop, so please remove it because it is dangerous."

As for the "request for firefighting water facility inspection", the photo can be reported together with the content "There is a problem that it is difficult to use in an emergency because the firefighting water facility is located in a place that is difficult to identify." If it is completed, it is posted that the dangerous situation has ended along with before and after photos of the reporting process.

Safety Sinmungo is a system in which citizens directly report risk factors in their daily lives, and since most safety accidents have prior signs, it is possible to identify signs of abnormality before an accident occurs by analyzing the reported type and current situation.

However, in the conventional disaster reporting system, such as the Safety Report, people directly analyze and respond to the contents of the report, so there is a problem in that the problem is only hurriedly handling the case rather than discovering abnormal symptoms in advance and preparing comprehensive preventive measures.

In fact, prior to the collapse of the demolition building in Gwangju (June 7, 2021), civil complaints concerning safety accidents such as insufficient safety measures were filed through various channels. In the case of 2021, the average number of reports per day was 13,537 It was not possible to prevent the accident while responding according to the existing administrative processing method, such as sending an official letter, because the amount of the report was large and the content of the report related to the building where the accident occurred was not differentiated from other reports.

Therefore, it is urgently needed to develop a system that can prioritize risk management by classifying the contents reported through the Safety Report by disaster type and identifying priority reports that may cause greater damage than other reports in the event of a disaster. there is.

Patent Document 1: Korean Patent Registration No. 10-2382648 Patent Document 2: Korean Patent Publication No. 10-2011-0136632

The present invention relates to a system for selecting priority targets for risk management using a safety report, which classifies the contents reported through the safety report by disaster type and identifies priority reports that may cause greater damage than other reports in the event of a disaster. By doing so, the first purpose is to be able to select the priority target for risk management.

In addition, since it is possible to identify signs before an accident occurs by analyzing the reported type and current situation, all accidents can be prevented in advance with only the contents reported in the Safety Report Center, and risk management priority targets are mapped and displayed on a map. Another purpose is to make it easy to identify and respond quickly and accurately by doing so.

In the system for selecting the risk management priority target using the safety report of the present invention to achieve the above object;

A data collection unit for receiving safety report data, map DB, common analysis GIS data, and GIS data by disaster type; a data analysis unit for classifying disaster types by analyzing the collected data and selecting GIS data for each disaster type; It consists of a map mapping/matching unit for matching the collected data to a map.

The data collection unit collects only disaster-related information through a keyword search based on keyword set information for each preset disaster safety type,

In the data analysis unit, the disaster type is classified according to the disaster type to which the classification keyword included in the safety report report belongs.

The map mapping/matching unit forms a first map by mapping the reporting location on the map by the reporting location of the safety report data, and forms a second map by mapping the common analysis GIS data on the map, and disasters classified by disaster type Depending on the type, the GIS data for each disaster type is mapped on the map to form a third map, and then the first, second, and third maps are matched to select areas where risk areas overlap as risk management priority targets.

In the safety report data, 'report details' may be provided together with 'report date' and 'report occurrence area'.

The data collection unit may include a keyword search unit for performing a keyword search based on keyword set information for each preset disaster and safety type.

In the keyword search unit, when accessing the safety report site and searching for data, 'report date'. Keyword searches for 'reported content' among 'reported area' and 'reported content', and only disaster-related data are primarily filtered out according to the disaster type information included in the keyword set information for each disaster safety type.

The data collection unit further includes a search setting unit, and the search setting unit is configured to set a predetermined search period or real-time search period for searching data related to disaster safety types through the keyword search unit.

The data analysis unit includes a disaster type classification unit and an importance calculation unit. In the disaster type classification unit, the disaster type is determined by searching for a disaster type to which a classification keyword included in the safety report 'reported contents' belongs, and the importance calculation unit determines the disaster type. It is configured to calculate the importance according to the number of reports of the corresponding disaster type accumulated during the search period set in the search setting unit.

The data analysis unit may further include a major disaster selection unit for classifying whether or not a major disaster exists according to the level of importance determined by the importance calculation unit.

The map mapping/matching unit is composed of a safety report data mapping unit, a common analysis GIS data mapping unit, a disaster type GIS data mapping unit, and a matching unit for each mapped map.

The importance is calculated according to the cumulative number of report data received within a certain period of time according to the 'report date' provided along with the safety report report, and the risk areas overlapped on the 1st, 2nd, and 3rd maps according to the calculated importance can be displayed in different colors.

In the system for selecting the risk management priority target using the safety report according to the present invention,

By classifying the contents reported through the Safety Report by disaster type and identifying priority reports that may cause greater damage in the event of a disaster than other reports, it is possible to prioritize risk management.

In addition, since it is possible to identify signs before an accident occurs by analyzing the reported type and current situation, all accidents can be prevented in advance with only the contents reported in the Safety Report Center, and risk management priority targets are mapped and displayed on a map. By doing so, it also has the effect of being able to easily identify and respond quickly and accurately.

1 is a block diagram schematically showing a system for selecting a risk management priority target using a safety report according to the present invention;
2 is a block diagram showing the configuration of a server computer in detail in the present invention;
Figure 3 is a flow chart showing the processing process for the selection system for the risk management priority target using the safety report according to the present invention,
4 is a block diagram schematically showing a processing procedure for a system for selecting a risk management priority target using a safety report according to the present invention;
5 is a diagram of classification keywords and related GIS data by disaster type in the risk management priority target selection system using the safety report according to the present invention,
6 is an exemplary view of safety reporting report data in the system for selecting priority targets for risk management using safety reporting according to the present invention;
7 is an exemplary diagram of classification keywords by disaster type among safety reporting contents in the risk management priority target selection system using safety reporting according to the present invention;
8 is an exemplary view of detection contents related to GIS data for each disaster type in the risk management priority target selection system using the safety report according to the present invention;
9 and 10 are examples of usage showing states before and after the safety report is processed in the safety report according to the prior art.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. However, it goes without saying that the scope of the present invention is not limited thereto.

In this specification, the present embodiment is provided to make the disclosure of the present invention complete, and to fully inform those skilled in the art of the scope of the invention to which the present invention belongs, and the scope of the present invention is only It is only defined by the claims. Thus, in some embodiments, well-known components, well-known operations and well-known techniques have not been described in detail in order to avoid obscuring the interpretation of the present invention.

The terms used herein are for describing the embodiments and are in no way intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. Also, elements and operations referred to as 'include (or include)' do not exclude the presence or addition of one or more other elements and operations.

1 is a block diagram schematically showing a system for selecting a risk management priority target using a safety report according to the present invention;

The system for selecting risk management priority targets using the safety report according to the present invention includes a data collection unit for receiving safety report data, a map DB, common analysis GIS data, and GIS data by disaster type; a data analysis unit for classifying disaster types by analyzing the collected data and selecting GIS data for each disaster type; It consists of a map mapping/matching unit for matching the collected data to a map.

6 is an exemplary diagram of safety report report data in the risk management priority target selection system using safety report according to the present invention. Served together.

Common analysis data is data that is commonly applied regardless of the type of disaster, and includes 'floating population, population density, vulnerable class, etc'.

GIS data by disaster type is applied only to the corresponding disaster type, unlike common analysis data, and as shown in FIG. (river flooding map, urban flooding map)' in case of 'heat wave' in 'natural disaster', GIS data in 'publicly announced land price' are selected, and in case of 'heavy snowfall' in 'natural disaster', 'topographic analysis' In the case of 'collapse' and 'fire' of 'social disaster', 'building life history management system' and 'construction cost status by region' are selected. In the case of 'Illegal parking and stopping' of 'life safety', GIS data of 'Traffic Accident Analysis System (TAAS) - Areas with frequent accidents of children in school zones' can be selected.

Figure 2 is a block diagram showing the configuration of the server computer in detail in the present invention,

The data collection unit is composed of a keyword search unit and a search setting unit, and can collect only disaster-related information through a keyword search based on keyword set information for each preset disaster safety type.

At this time, as shown in FIG. 7 , the keyword set information for each disaster safety type may be divided into three disaster safety categories of natural disaster, social disaster, and life safety, and may be composed of a total of six disaster types.

7, in the case of natural disaster classification, it consists of three disaster types of flood, heat wave, and heavy snow, in the case of social disaster classification, it consists of two disaster types of collapse and fire, and in the case of life safety classification, illegal parking and stopping 1 It can consist of dog disaster types.

Here, each of the six disaster type information may include detailed keyword information. As an example, referring to FIG. 7, in the case of natural disaster classification, the classification keyword of 'rainwater inlet, sewage, water barrier, etc.' for the disaster type 'flood' For the disaster type of 'heat wave', classification keywords such as 'extreme heat shelter, shade shelter, etc.' can be assigned.

In addition, in the case of social disaster classification, classification keywords such as 'collapse, collapse, collapse, crack, etc.' are assigned to the disaster type of 'collapse', and classification keywords of 'fire, sprinkler, etc.' are assigned to the disaster type of 'fire'. Classification keywords such as 'illegal parking, illegal parking, illegal parking, etc.'

The disaster types and classification keywords illustrated in FIG. 7 are illustrative, and in practice, they are not limited thereto and may be variously changed.

The keyword search unit connects to the safety reporting site and performs a keyword search on all reported data according to the preset keyword set information for each disaster safety type, and selects and collects only reports for each disaster type.

That is, when the keyword search unit connects to the safety report site and searches data, 'report date'. Only disaster-related data is searched by keyword search only for 'reported contents' among 'region of report occurrence' and 'reported contents', and searched in 'reported contents' according to six disaster type information included in keyword set information by disaster safety type. filter out with

For example, if 'report content' is 'report of illegal parking in a crosswalk', 'illegal parking' is a classification keyword in the keyword dictionary ('illegal parking' in 'life safety'), so it is primarily related to disasters. will be filtered as data.

The search setting unit may set a predetermined search period or real-time search period for searching data related to disaster safety types through the keyword search unit.

By setting a certain search period, it will be possible to search disaster-related information for the period of interest, and by setting a real-time search period, it will be possible to search the trend of disaster-related information.

The data passed through the data collection unit are transmitted to the data analysis unit composed of the disaster type classification unit, the importance calculation unit, and the major disaster selection unit.

First, the disaster type classification unit selects the disaster type by finding the disaster type to which the classification keyword included in the 'report contents' of the Safety Sinmungo data belongs,

The importance calculation unit may calculate the importance according to the number of reports of the corresponding disaster type accumulated during the search period set in the search setting unit.

For example, the importance level is 'Low' for reports with less than 5 reports in a month, 'Medium' for reports with 5 to 20 reports in a month, and 'High' for reports with more than 20 reports in a month. will be able to determine

The major disaster selection unit will be able to classify whether or not a major disaster is a major disaster according to the level of importance determined by the importance calculation unit. In this case, it can be judged as a major disaster.

Data analyzed in this way are provided to the map mapping/matching unit, which consists of a safety report data mapping unit, a common analysis GIS data mapping unit, a disaster type GIS data mapping unit, and a matching unit for each mapped map. Since it consists of

First, in the safety report data mapping unit, a first map is formed by mapping the report location on a map according to the report location provided along with the report details in the safety report,

In the common analysis GIS data mapping unit, a second map is formed by mapping the common analysis GIS data on the map,

In the GIS data mapping unit for each disaster type, a second map is formed by mapping GIS data for each disaster type on a map according to the disaster type classified in the disaster type classification unit,

Finally, in the matching unit of each mapped map, the first, second, and third maps are matched to select an area where the risk area overlaps as a priority target for risk treatment, which can be confirmed through a monitor.

A step-by-step process in the risk management priority target selection system using the safety report according to the present invention will be described as follows.

First, when the safety report data is provided to the computer, it is classified by disaster type, and the contents of the report are classified and the location of the report is identified through the “classification keyword” by disaster type based on the keyword dictionary.

That is, since safety report data is provided along with geographical information (address), the report location is mapped and displayed on a map. (hereinafter referred to as the first map)

In addition to the safety report data, 「common analysis data」 and 「GIS data by disaster type」 are provided together on the computer, so they are also displayed on the map for geographical matching. (hereinafter referred to as the second and third maps)

Figure 4 is a schematic diagram showing the process of selecting a risk management priority target in the present invention,

First, when the safety report data is provided to the computer, classification by disaster type is performed by keyword search, and the report location is mapped on the map using the address information provided along with the safety report data to confirm the report location and form a first map,

Forming second maps by mapping common analysis data (floating population, population density, vulnerable class, etc.) provided to the computer together with the safety newspaper data on a map;

Third maps are formed by mapping the GIS data for each disaster type provided to the computer together with the safety report data on the map,

Among the second and third maps, those corresponding to the disaster types classified in the keyword search of the Safety Sinmungo data are selected and displayed overlapping with the first map. It will be.

To explain this again with an example:

5 is a diagram of keywords classified by disaster type and related GIS data in the risk management priority target selection system using the safety report according to the present invention, and FIG. 6 is risk management priority target using the safety report according to the present invention. As an example of safety report data in the selection system of , in the safety report data, 'report details' are provided to the computer along with 'report date' and 'region where the report occurred', and a keyword search is performed on the computer.

Keyword search targets 'reported contents', and if there is a classification keyword in 'reported contents', the corresponding disaster type and GIS data by disaster type are selected.

For example, if the 'reported content' of the safety report data is 'report of illegal parking in a crosswalk' as shown in Figure 6, the disaster type is 'illegal parking' in 'life safety' by the classification keyword 'illegal parking'. classified as

If the 'reported content' of the safety report data is 'fallen leaves are piled up in the rain gutter', the disaster type will be classified as 'flood' of 'natural disaster' by the classification keyword 'rain gutter'.

On the other hand, in the 'report details' of the above safety report data, the area where the report occurred is provided along with the report date. For example, for the report content of 'illegal parking at the crosswalk', 'illegal parking' in 'life safety' is the type of disaster. It will be possible to classify and display the address of '42-9 Wolgye-dong, Nowon-gu, Seoul' on the map by matching it,

For the reported content of 'fallen leaves are piled up in the rain gutters', the type of disaster can be classified as 'flood' of 'natural disaster', and the address of '771-5 Gamcheon-dong, Saha-gu, Busan Metropolitan City' can be matched and displayed on the map. , which will be referred to as Figure 1.

In addition, GIS data for each disaster type can be selected according to the disaster type determined by the classification keyword. As in the illustrated example, in the case of 'flood' of 'natural disaster', 'river management geographic information system (RIM GIS)', Select GIS data of 'living safety map (river overflow map, city flood map)',

In the case of 'heat wave' of 'natural disaster', GIS data of 'publicly announced land price' is selected,

In the case of 'heavy snow' in 'natural disaster', GIS data of 'topographical analysis map (slope direction)' and 'digital elevation model (DEM)' are selected,

In the case of 'collapse' and 'fire' of 'social disaster', GIS data of 'building life history management system' and 'construction price status by region' are selected,

In the case of 'Illegal parking and stopping' of 'life safety', GIS data of 'Traffic Accident Analysis System (TAAS) - Child Accident Areas in School Zones' can be selected.

In this way, since GIS data for each disaster type is selected according to the disaster type determined by the classification keyword, third maps can be formed by mapping it on the map.

On the other hand, in order to identify risk areas by disaster type, floating population, population density, and areas where vulnerable groups are concentrated must be considered in common. Therefore, using mobile (SK, KT, etc.) floating population data, etc., matching the floating population to the second map to indicate

For example, if a report of 'Illegal parking and stopping on absurd sidewalk' is received, it will be received together with the report area of '42-9 Wolgye-dong, Nowon-gu, Seoul', so the first map matching the reported area on the map is formed first. will be able to,

The above reports will be classified into disaster types of 'life safety' and 'illegal parking' by the classification keyword 'illegal parking', so the corresponding GIS data for each disaster type, that is, 'Traffic Accident Analysis System (TAAS)-School Zone' Third maps can be formed by selecting GIS data of 'my child accident prone area' and mapping it on the map,

Second maps can be formed by mapping GIS data of 'floating population, population density, and vulnerable class', which are common analysis data, on the map.

In this way, when all the first, second and third maps are prepared, they are overlapped and projected. At this time, if the risky area overlaps, it is selected as a priority target for risk management.

In addition, for the risk management priority target selected in this way, detection contents selected in advance according to the type of disaster may be displayed.

For example, for 'flood' of 'natural disaster', the first map showing the area reported by the safety report, the second map detecting the floating population, etc., and the 'river management geographic information system' or life safety map By matching the 3rd map that detected 'low-lying areas', places that overlap in common are selected as priority targets for risk treatment,

For the 'heat wave' of 'natural disaster', the first map showing the area reported by the Safety Sinmungo, the second map detecting the floating population, etc., and the first map detecting the area with a high 'poverty rate' through GIS data of publicly notified land 3 Maps are matched to select places that overlap in common as risk management priorities.

For 'heavy snow' of 'natural disaster', the first map showing the area reported by the safety report, the second map detecting floating population, topographical analysis map (inclination direction), and digital elevation model (DEM) GIS A third map that detects 'steep slope areas' through data is matched to select common overlapping places as priority targets for risk management,

For 'collapse' and 'fire' of 'social disaster', the first map showing the area where the safety report report occurred, the second map detecting the floating population, etc., the building life history management system, and the construction status GIS by region A third map that detects 'building deterioration, construction site area' is matched through data to select common overlapping places as priority targets for risk management,

For 'illegal parking and stopping' of 'life safety', the first map showing the area reported by the safety report, the second map detecting the floating population, etc., and the Traffic Accident Analysis System (TAAS) - Frequent child accidents in school zones A third map that detects a 'child protection area' through regional GIS data is matched to select a common overlapping place as a priority target for risk management.

On the other hand, since the 'report date' is provided together with the 'region where the report occurred' in the report contents of Safety Sinmungo, the importance can be calculated according to the cumulative number of report data received within the period.

Depending on the cumulative number of report data received within a certain period, the overlapping risk areas on the 1st, 2nd, and 3rd maps can be displayed in different colors.

For example, if the number of reports is less than 10, it can be displayed in black, 10 or more and less than 50 in blue, 50 or more and less than 100 in purple, and 100 or more in red.

In the same period, the number of reports of 'safety to live' and 'illegal parking' are less than 10, so they are displayed in black, while the number of reports of 'natural disaster' and 'flood' soar to more than 100 and are displayed in red, As an observer and analyst, you will be able to prepare for 'natural disasters' and 'floods' with greater awareness.

In the risk management priority target selection system using the safety report according to the present invention, it is possible to select whether or not to prioritize risk management by classifying and analyzing the reported contents in the safety report for reporting disasters and hazardous situations on a computer. there will be

By analyzing the reported type and current status, it is possible to identify signs before an accident occurs, so that all accidents can be prevented in advance with only the contents reported in the Safety Report Center, and prioritized objects are mapped and displayed on the map It is easily identified so that it can be dealt with quickly and accurately.

Although the technical idea of the present invention has been specifically described in preferred embodiments, it should be noted that the above-described embodiments are for explanation and not for limitation. It is obvious to those skilled in the art that various variations and modifications are possible within the scope of the technical spirit of the present invention, and therefore it is natural that such variations and modifications fall within the scope of the appended claims.

Claims (9)

a data collection unit for receiving safety report data, map DB, and common analysis GIS data; a data analysis unit for classifying disaster types by analyzing the collected data; In the risk management priority target selection system using the safety report composed of a map mapping / matching unit for matching the collected data to the map,
Targeting the 'report details' provided together with the 'report date' and 'report occurrence area' in the safety report data, the data analysis unit classifies the disaster type through keyword search based on keyword set information by disaster safety type,
Since the data collection unit provides GIS data for each disaster type in addition to the common analysis GIS data, the data analysis unit selects disaster types and GIS data for each disaster type that match the GIS data for each disaster type that corresponds to the disaster type classified by keyword search in the data analysis unit. course;
Forming a first map by disaster type by matching and displaying the address information of the 'reported area' provided together with the 'report target' in the safety report data on the map DB in the map mapping/matching unit;
forming a second map for each disaster type by matching and displaying the common analysis GIS data on a map DB in the map mapping/matching unit;
forming a third map for each disaster type by matching and displaying the GIS data for each disaster type matched in the process of selecting disaster types and GIS data for each disaster type in the map mapping/matching unit on a map DB;
a risk display process for each disaster type in which the map mapping/matching unit overlaps and projects the first, second, and third maps, and selects an area where the risk area overlaps as a priority target for risk management;
Calculate the importance of each disaster type according to the cumulative number of report data received within the period based on the 'report date' information provided along with the 'report target' in the safety report data, and the risk areas overlapped in the first, second, and third maps A system for selecting priority targets for risk treatment using a safety report, characterized in that it is performed as an importance calculation process marked with different colors.
In claim 1,
Unlike the common analysis data, the above GIS data by disaster type is applied only to the corresponding disaster type. In the case of 'flood' of 'natural disaster', 'River Management Geographic Information System (RIM GIS)', 'Life Safety Map (river overflow map) , Urban inundation map)' in case of 'heat wave' in 'natural disaster', GIS data in 'publicly announced land price' are selected, and in case of 'heavy snow' in 'natural disaster', 'topographical analysis map (inclination direction) )' and 'Digital Elevation Model (DEM)', and in the case of 'collapse' and 'fire' of 'social disaster', GIS data of 'building life history management system' and 'construction cost status by region' are selected. In the case of 'illegal parking and stopping' of 'life safety', GIS data of 'Traffic Accident Analysis System (TAAS) - Areas where children's accidents are common in school zones' is selected to prioritize risk management using safety reporting Target selection system.
In claim 1,
The data collection unit includes a keyword search unit for keyword search based on keyword set information for each preset disaster and safety type.
In paragraph 3,
In the keyword search unit, when accessing the safety report site and searching for data, 'report date'. A keyword search is performed for 'reported content' among 'region where the report occurred' and 'contents of the report', and only disaster-related data is primarily filtered according to the disaster type information included in the keyword set information for each disaster safety type. In the case of natural disaster classification for special application, classification keywords including 'rainwater inlet, sewage, and water barrier' are allocated for the disaster type 'flood', and classification including 'excessive heat shelter, shade' for the disaster type 'heat wave' Keywords are assigned, and for the disaster type of 'heavy snow', classification keywords including 'freezing, snow removal box, calcium chloride, black ice' are assigned, and in the case of social disaster classification, 'collapse' for the disaster type of 'collapse' Classification keywords including 'collapse, crack' are assigned, classification keywords including 'fire, sprinkler' are assigned for the disaster type 'fire', and 'illegal parking, illegal parking, illegal parking' are assigned for the disaster type 'unpunishable parking'. A system for selecting a priority target for risk management using a safety report, characterized in that classification keywords including 'parking and stopping' are assigned.
In paragraph 3,
The data collection unit further includes a search setting unit, and the search setting unit is configured to set a certain search period or real-time search period for searching data related to disaster and safety types through the keyword search unit. A system for selecting risk management priorities.
In paragraph 5,
The data analysis unit includes a disaster type classification unit and an importance calculation unit. In the disaster type classification unit, the disaster type is determined by searching for a disaster type to which a classification keyword included in the safety report 'reported contents' belongs, and the importance calculation unit determines the disaster type. A risk management priority target selection system using a safety report, characterized in that it is configured to calculate the importance according to the number of reports of the corresponding disaster type accumulated during the search period set in the search setting unit.
In paragraph 6,
The data analysis unit further comprises a major disaster selection unit for distinguishing whether or not a major disaster is present according to the importance determined by the importance calculation unit.
In claim 1,
The common analysis GIS data includes GIS data for 'floating population', 'population density', and 'vulnerable class'. delete

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