KR102428971B1 - Disaster response regional management system and method - Google Patents

Abstract

A disaster response active regional management system and method of the present invention comprises: a central server that stores the data and enables communication; an IOT module that shares the data with the central server and collects real-time surrounding environment data; a control center that manages and controls in real-time based on the central server and the IOT module data; a related organization that enables communication with the central server, and contacts and mobilizes to a site when required under the control of the control center; and a mobile enabling to exchange data with the control center. Therefore, the present invention is capable of having an effect of preventing a secondary damage.

Description

Disaster response active regional management system and method {DISASTER RESPONSE REGIONAL MANAGEMENT SYSTEM AND METHOD}

The present invention relates to a disaster disaster response management system and method, and more particularly, to a disaster disaster response active local management system and method that prevents safety accidents in an old residential area vulnerable to disasters and advances the response system.

In order to efficiently respond to the recently diversified disasters, flexible urban space reorganization is required based on not only urban-level responses but also regional-level disaster vulnerability analysis.

In the case of the existing urban regeneration project site, the project is being promoted mainly in the old downtown and old residential areas that are underdeveloped. As these outdated old downtowns and old residential areas are vulnerable to social disasters (e.g. fire, collapse, etc.) and natural disasters (e.g. typhoons, floods, heavy rain, heavy snow, heat waves, etc.) There is a need for countermeasures to improve it.

In the case of old low-rise houses in declining areas, there is a high risk of fire due to deterioration of electrical facilities and neglect of safety management. In particular, old residential areas, old downtown areas, and areas where the maintenance of the new town has been canceled have a lot of old houses built with combustible materials.

In addition, in the case of low-lying areas and areas where sewage pipe maintenance is weak, the risk of flooding is high, and in the case of slopes of mountain slopes, the risk of damage such as slope collapse and landslides is high.

In addition, in the case of disasters such as fire, collapse, flooding, or heat wave, it is difficult to access fire trucks and ambulances, so secondary damage is highly likely to occur in old residential areas.

Furthermore, in terms of social/physical/economic aspects, as the regeneration project to comprehensively moor the soetae area is progressively advanced, it is possible to identify the status of improvement in the area, and to provide objective data on the effect of recovery and regeneration in the urban regeneration project area. A plan support system that can be monitored based on this is required.

The present invention for solving the above problems is a disaster disaster response active local management system and method that can reduce damage by monitoring the surrounding condition of a deteriorating old residence in real time to provide an appropriate response method in the event of a disaster, disaster, or crime is to provide

Disaster response active area management system and method of the present invention for achieving the above object is a central server that stores data and can communicate; an IOT module that shares data with the central server and collects real-time surrounding environment data; a control center for real-time management and control based on the central server and IOT module data; a related organization capable of communicating with the central server and mobilizing to the field by contacting the control center when necessary; and a mobile capable of sending and receiving data to and from the control center.

The central server includes the location of the IOT module, the range in which each IOT module collects data, the information of residents residing within the control range, guidance information to notify residents in the event of a disaster or disaster, and data on past disasters and disasters and range data determined to be safe.

The IOT module collects surrounding environment data within a predetermined range, and includes a module power supply that receives power, a control unit that performs overall control of the IOT module with the power of the module power supply, and the central server and control center with the power of the module power supply. A communication unit that enables communication, a sensor unit that collects a plurality of sensor values with power of the module power unit, a data input unit that inputs external data with power of the module power unit, and a data output that outputs data with power of the module power unit It can be composed of parts.

The control center includes a power supply unit for supplying power, a communication unit for enabling communication with the central server, IOT module and related organizations with the power of the power supply unit, a monitoring unit for real-time checking the sensing value input from the IOT module, and the central server It can be configured to include a data analysis unit that analyzes safety based on range data determined to be safe and a sensing value authorized by the sensor unit of the IOT module, and a processing unit that processes data to be output according to the value of the data analysis unit have.

The data analysis unit analyzes the data by matching the range data and the sensor value based on the sensor value input from the sensor unit and the range data determined to be safe from the central server.

The processing unit may process a risk guide or a current situation guide to the data output unit of the IOT module based on the analysis result of the data analysis unit, and transmit an emergency situation to a related organization when a dangerous situation occurs.

In order to predict the fire detection in the data analysis unit, FDP Score (Fire Detect Prediction Score) = (TempP * Addition Value) + (HumiP * Addition Value) + (Co2P * Addition Value) / Fire Sensor State formula is used,

Here, FDP may be a fire detection prediction, TempP may be a temperature point, HumiP may be a humidity point, and Co2P may be a Co2 point.

And first, sensing the temperature, humidity, and fine dust concentration in real time by the sensor unit of the IOT module, and outputting the sensed value to the data output unit; continuously performing fire detection in real time by the sensor unit; comparing the sensed values collected by the sensor unit with corresponding range data among data of a central server; determining whether there is an emergency based on the comparison value in the step of comparing the sensed value and the range data; If it is determined as an emergency in the step of determining whether it is an emergency, the control center sends an application PUSH notification to the residents' mobiles to notify them, and sends an emergency report to the relevant organization to send a disaster notification, depending on the situation, the fire department, police station, emergency room and reporting to the competent welfare center; determining whether there is a person in a dangerous area using a data input unit and a human body detection sensor of the IOT module when it is determined whether the emergency situation is present; and sharing the result of determining whether there are people in the dangerous area with the control center and related organizations to determine the number of people and locations in real time and continuously sharing information so that they can respond quickly.

In the step of comparing the sensed value collected by the sensor unit with the corresponding range data among the data of the central server, in the case of fine dust concentration, fine dust concentration is 0 to 30, good, 31 to 80, normal, 81 to If it is 150, it may include a step of analyzing as bad and 151 or more as very bad.

According to these characteristics, the present invention has an effect that can prevent secondary damage by processing countermeasures in quasi-real time when disasters, disasters and crimes occur in underdeveloped areas.

In addition, it has the effect of minimizing damage to residents by collecting the conditions of residential facilities in real time so that residents can know information about the residential environment without additional equipment.

1 is a system configuration diagram of a disaster disaster response active management system according to an embodiment of the present invention.
2 is a flowchart of an active local management method for disaster disaster response according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present invention pertains can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Then, a disaster disaster response active local management system and method according to an embodiment of the present invention will be described with reference to the accompanying drawings.

1 is a system configuration diagram of a disaster disaster response active local management system according to an embodiment of the present invention.

Referring to FIG. 1 , the urban regeneration smart disaster response system according to an embodiment of the present invention stores data and communicates with a central server 100, which shares data with the central server 100, and a real-time surrounding environment IOT module 200 for collecting data, the central server 100 and the control center 300 for real-time management and control based on the data of the IOT module 200, communication with the central server 100 and the control center It comprises a mobile 500 capable of exchanging data with a related organization 400 and the control center 300 that contact and dispatch to the site when necessary under the control of the 300 .

The central server 100 provides information on the location of the IOT module 200, the range in which each IOT module 200 collects data, the information of residents residing within the control range, and the disaster or disaster to the residents. The notification includes, but is not limited to, guidance information, data on past disasters and disasters, and range data determined to be safe.

The IOT module 200 collects environmental data within a predetermined range, and a module power supply unit 210 that receives power, a control unit 220 that performs overall control of the IOT module with the power of the module power unit 210, the The communication unit 230 that enables communication with the central server 100 and the control center 300 with the power of the module power unit 210, and the sensor unit 240 that collects a plurality of sensor values with the power of the module power unit 210 ), a data input unit 250 for inputting external data with the power of the module power unit 210 and a data output unit 260 for outputting data with the power of the module power unit 210 .

The module power supply unit 210 uses a 12V, 3A or 5V, 5A adapter, but is not limited thereto.

The sensor unit 240 includes a temperature sensor 241 for detecting temperature, a humidity sensor 242 for detecting humidity, a fine dust sensor 243 for detecting the concentration of fine dust, and a fire sensor 244 for detecting a fire. , a flame detection sensor 246 to detect a flame and a human body detection sensor 245 to detect a person, and includes a Co2 sensor, Vos sensor and ozone sensor not shown in addition, and is not limited thereto. does not

The data input unit 250 includes, but is not limited to, a camera (not shown) that captures a certain range and an emergency button (not shown) that anyone can press when an emergency occurs.

The emergency button can be operated by pressing by any resident in the event of a disaster, disaster, or emergency. It is possible to explain the situation.

The data output unit 300 includes a display (not shown) that outputs a condition for normal residents to see, a voice output unit (not shown) that can notify residents that a dangerous situation occurs in case of an emergency, and a dangerous situation when an emergency occurs. It includes, but is not limited to, a warning light (not shown) that can inform residents that the

The control center 300 has a power supply unit 310 for supplying power, and a communication unit 320 that enables communication with the central server 100, the IOT module 200, and the related organization 400 with the power of the power supply unit 310. ), a monitoring unit 330 that checks the sensed value input from the IOT module 200 in real time, and the range data determined to be safe of the central server 100 and the sensor unit 240 of the IOT module 200 . It comprises a data analysis unit 340 that analyzes safety based on the received sensing value and a processing unit 350 that processes data to be output according to the value of the data analysis unit 34 .

The monitoring unit 330 monitors the sensor value input from the sensor unit 240 of the IOT module 200 in real time, and outputs the monitored value to the data output unit 260 of the IOT module 200 .

The data analysis unit 340 analyzes the data by matching the range data with the sensor value based on the sensor value input from the sensor unit 240 and the range data determined to be safe from the central server 100 . For example, if the fine dust concentration is 0 to 30, good, 31 to 80, normal, 81 to 150, bad, and 151 or more are very bad.

The processing unit 350 processes danger guidance or current status guidance to the data output unit 260 of the IOT module 200 based on the analysis result of the data analysis unit 340, and when a dangerous situation occurs, it is sent to the relevant organization 400 convey an emergency.

At this time, the formula for predicting the fire detection in the data analysis unit 340 is as follows.

FDP Score(Fire Detect Prediction Score) = (TempP*Addition Value)+(HumiP*Addition Value)+(Co2P*Addition Value)/Fire Sensor State

Here, FDP is the fire detection prediction, TempP is the temperature point, HumiP is the humidity point, and Co2P is the Co2 point.

The temperature point is 1 point below -30°C when it is 38.1°C or higher, 2 points are when it is above -30°C and below -22°C, and when it is above 36°C and below 38°C, 3 points are when it is above -22°C and below -14°C and 34 When it is over ℃ and below 36℃, 4 points are when it is over -14℃ and -6℃ or less, and when it exceeds 32℃ and below 34℃, 5 points are when it is over -6℃ and below 2℃ and when it is over 30℃ and below 32℃, 6 points is more than 2℃ and less than 10℃ and when it is more than 28℃ and less than 30℃, 7 points are when it is more than 10℃ and less than 18℃, and when it is more than 26℃ and less than 28℃, 8 points are when it is more than 18℃ and less than 20℃ and when it is less than 24℃ When the temperature is 26°C or less, 9 points are calculated when it is more than 20°C and less than 21°C, and when it is more than 23°C and less than 24°C, 10 points are when it is more than 21°C and less than 23°C.

Humidity point 1 is when the humidity is 100% or less, 2 is when the humidity is 90% or less, 3 is when the humidity is 80% or less, 4 is when the humidity is 70% or less, 5 is when the humidity is 60%. Below, 6 points when the humidity is 50% or less, 7 points when the humidity is 40% or less, 8 points when the humidity is 30% or less, 9 points when the humidity is 20% or less, 10 points when the humidity is 10% Points are counted when the

When Fire Sensor State is 1, it is normal, and when it is 0, it is assumed that a fire has been detected.

The related organizations 400 are, but are not limited to, a welfare center, an emergency room, a fire station, and a police station.

2 is a flowchart of an active local management method for disaster disaster response according to an embodiment of the present invention.

First, the sensor unit 240 of the IOT module 200 senses temperature, humidity, and fine dust concentration in real time, and outputs the sensed values to the data output unit (S10).

In addition, the sensor unit 240 continues to detect the fire in real time (S11).

The sensed values collected by the sensor unit 240 are compared with corresponding range data among the data of the central server 100 (S12).

At this time, in the case of fine dust concentration, a fine dust concentration of 0 to 30 is considered good, 31 to 80 is normal, 81 to 150 is bad, and 151 or more is very bad.

In the step of comparing the sensed value and the range data (S12), it is determined whether it is an emergency based on the comparison value (S13).

If it is determined as an emergency in the step (S13) of determining whether it is an emergency, the control center sends an application PUSH notification to the residents' mobile to notify, and sends an emergency notification to the relevant organization to send a disaster notification, depending on the situation , report to the emergency room and the competent welfare center (S14).

When it is determined whether it is an emergency, the data input unit 250 and the human body sensor 245 of the IOT module 200 determine whether there is a person in the dangerous area (S15), and the result is shared with the control center and related organizations in real time Information is continuously shared so that people and locations can be identified so that they can respond quickly (S16).

In the step of comparing the sensed value with the range data (S12), in the step of determining whether it is an emergency based on the comparison value, if it is determined that it is not an emergency, continuously measuring the sensed value in the IOT module 200 in real time It is executed from (S10).

In the step of continuously detecting fire in real time by the sensor unit 240, when a fire is detected (S20), the flame detector continues to detect a fire (S21).

The sensor unit 240 determines whether the measured value of fine dust and the average value of Co2 are higher than the daily average value (S22).

When it is determined that the fine dust measurement value and the average value of Co2 are not higher than the daily average value, a monitoring alarm is output and an emergency call is made to the manager (S24).

When it is determined that the fine dust measurement value and the average value of Co2 are higher than the daily average value, a fire alarm is output (S2).

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto. is within the scope of the right.

100: central server 200: IOT module
210: module power unit 220: control unit
230: communication unit 240: sensor unit
241: temperature sensor 242: humidity sensor
243: fine dust sensor 244: fire detection sensor
245: human body detection sensor 250: data input unit
260: data output unit 300: control center
310: power unit 320: communication unit
330: monitoring unit 340: data analysis unit
350: processing unit 400: related organizations
500: mobile

Claims (9)

A central server that stores data and enables communication;
an IOT module that shares data with the central server and collects real-time surrounding environment data;
a control center for real-time management and control based on the central server and IOT module data;
a related organization capable of communicating with the central server and mobilizing to the field by contacting the control center when necessary; and
A mobile capable of exchanging data with the control center; but configured to include,
The central server includes the location of the IOT module, the range in which each IOT module collects data, the information of residents residing within the control range, guidance information to notify residents in the event of a disaster or disaster, and data on past disasters and disasters and range data determined to be safe,
The IOT module collects surrounding environment data within a predetermined range, and a module power supply unit that receives power;
A control unit that performs overall control of the IOT module with the power of the module power unit,
A communication unit that enables communication with the central server and the control center with the power of the module power unit;
A sensor unit for collecting a plurality of sensor values with the power of the module power unit, a data input unit for inputting external data with the power of the module power unit, and
Disaster response active area management system, characterized in that it comprises a data output unit for outputting data with the power of the module power unit. delete delete The method of claim 1,
The control center is a power supply unit for supplying power,
A communication unit that enables communication with the central server, IOT module, and related organizations with the power of the power supply unit;
a monitoring unit that checks the sensing value input from the IOT module in real time;
A data analysis unit that analyzes safety based on the range data determined to be safe of the central server and the sensing value authorized by the sensor unit of the IOT module, and
Disaster response active local management system, characterized in that it comprises a processing unit for processing the data to be output according to the value of the data analysis unit. 5. The method of claim 4,
The data analysis unit analyzes the data by matching the range data and the sensor value based on the sensor value input from the sensor unit and the range data determined to be safe from the central server. 5. The method of claim 4,
The processing unit processes a risk guide or a current situation guide to the data output unit of the IOT module based on the analysis result of the data analysis unit, and when a dangerous situation occurs, an emergency situation is delivered to a related organization Active regional management system for responding to a disaster . 5. The method of claim 4,
In order to predict the fire detection in the data analysis unit, FDP Score (Fire Detect Prediction Score) = (TempP * Addition Value) + (HumiP * Addition Value) + (Co2P * Addition Value) / Fire Sensor State formula is used,
Here, FDP is a fire detection prediction, TempP is a temperature point, HumiP is a humidity point, and Co2P is a Co2 point. first, sensing the temperature, humidity, and fine dust concentration in real time by the sensor unit of the IOT module, and outputting the sensed value to the data output unit;
continuously performing fire detection in real time by the sensor unit;
comparing the sensed values collected by the sensor unit with range data corresponding to each of the data of the central server;
determining whether there is an emergency based on the comparison value in the step of comparing the sensed value and the range data;
If it is determined as an emergency in the step of determining whether it is an emergency, the control center sends an application PUSH notification to the residents' mobiles to notify them, and sends an emergency report to the relevant agency to send a disaster notification, depending on the situation, the fire department, police station, emergency room and reporting to the competent welfare center;
determining whether there is a person in a dangerous area using a data input unit of an IOT module and a human body detection sensor when it is determined whether the situation is an emergency; and
Disaster disaster characterized in that it comprises; sharing the result of determining whether there is a person in the dangerous area with the control center and related organizations to identify the number and location in real time and continuously share information so that a rapid response can be made; Responsive active area management method. 9. The method of claim 8,
In the step of comparing the sensing value collected by the sensor unit with the corresponding range data among the data of the central server, in the case of fine dust concentration, good when the fine dust concentration is 0 to 30, normal when it is 31 to 80, and 81 to Disaster and disaster response active local management method, characterized in that it comprises the step of analyzing as bad if 150 and more than 151 as very bad.

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