WO2013191496A1

WO2013191496A1 - Disaster early warning system for traditional wooden structures

Info

Publication number: WO2013191496A1
Application number: PCT/KR2013/005469
Authority: WO
Inventors: 김원국; 신진교
Original assignee: 주식회사 포드림
Priority date: 2012-06-21
Filing date: 2013-06-21
Publication date: 2013-12-27
Also published as: CN104395942A; JP5883162B2; KR101263291B1; CN104395942B; JP2015517130A

Abstract

The present invention relates to a disaster early warning system for traditional wooden structures that collects data on environmental changes that occur immediately before a disaster occurs by using a sensor and obviates potentially hazardous elements that can cause a disaster in order to prevent a disaster. According to the present invention, information on the potential disaster is turned into data and collected by the sensor, and the collected data is used to determine and prevent the hazardous elements in advance.

Description

Disaster situation early warning system for wooden building

The present invention relates to an early warning system for disaster situation of wooden buildings, and more particularly, in the event of a disaster situation, an environmental change occurs immediately before a disaster occurs, and data about the environmental change is collected from a sensor and collected. It is about the early warning system of wooden building disaster situation to prevent the disaster by using the data to remove the disaster occurrence factors.

As a conventional technology, Figure 1 is a conventional disaster management system configuration, the disaster management system is composed of a fire fighting equipment group 10, a video equipment group 20 and the control device 30 to implement disaster management Was doing.

In more detail, the firefighting device group 10 transmits the detected data to the control device 30 using a sensor such as a smoke sensor, a flame detection sensor, a heat detection sensor, and the image facility device group 20 is In order to monitor the intruder to shoot with a photographing device such as CCTV and transmits the captured image to the control device (30).

Such a conventional disaster management system is a wooden traditional building, the intelligent early disaster information recognition ability is weak, and most of the traditional wooden buildings (especially, cultural property, etc.) will be completely lost due to delayed on-site dispatch in case of various disasters such as fire. There was a lot of concern.

In particular, wooden traditional buildings are not applied to building regulations under the Fire Protection Law, but the ignition frequency and fire risk are higher than general buildings.

For example, when the conventional disaster management system is installed in a temple, a malfunction of a detection facility frequently occurs because it is mistaken as a fire by various religious events or life factors performed at the temple.

For example, when the smoke sensor is operated by dust generated by a lantern-like event where a lot of people are mobilized in the temple or the human body sensor is operated according to outsiders' entrance, the detected information is continuously transmitted to the fire department and the police station. This is because the fire information is transmitted even though it is not a disaster situation, the disaster prevention manager has a problem that the tension on the site situation is slowed down and it is not immediately dealt with when an actual disaster situation occurs.

As a result, there was no analysis system that could cope with the disaster situation actively by using information that accurately analyzed the disaster risk on the current situation of wooden building.

In particular, in the case of a fire occurring in a wooden traditional building, it is very difficult to extinguish the fire after about 5 minutes after the occurrence of the fire garden, and since many parts of the cultural property are already lost, the conventional technology suppresses the fire after confirming the occurrence of the fire garden. Only to try, there was a problem that can not analyze the element that can occur in the early stage.

Accordingly, the present invention has been made to solve the above-described problems, the object of the present invention is to collect data on the factors that may cause disasters to predict the factors that can cause disasters in advance to prevent disasters The purpose is.

According to an embodiment of the present invention for achieving the above object, the wooden building disaster situation early warning system includes a sensor for generating the first data every set time period; A receiver for receiving a plurality of first data generated for each of the set first time periods, and a plurality of first data obtained by comparing the second data measured in the first time period with respect to each of the received plurality of first data. A setting unit for setting a second difference value having the largest difference value among the difference values as a setting value, an input unit to which a second time period is input by a user, and receiving a setting value set in the setting unit and inputted by the input unit. As the second time period is transmitted to the sensor, the plurality of third data generated by the sensor is received by the second time period, and the fourth data measured in the immediately preceding second time period for each of the received third data. A disaster component is generated for the second difference value when the plurality of second difference values obtained by comparing with and the set value are respectively higher than the set value. The analysis means for generating an analysis data, the server comprising a transmission unit for transmitting the second time period input through the input unit to the sensor and the analysis data generated through the analysis unit to the manager terminal as a solution means. .

According to another embodiment of the present invention, a wooden building building disaster situation early warning system includes: a first sensor generating first data every set first time period; A second sensor generating second data every set first time period; A receiver configured to receive the generated first and second data in a plurality of pairs by binding the same first period of time, and obtain a first difference value for each of the paired first and second data to set the largest difference value. A setting unit configured to set the input unit, an input unit to which a second time period is input by a user, and a setting value set by the setting unit is received and a second time period inputted by the input unit is transmitted to the first and second sensors. A second difference value for each of the third and fourth data by tying a plurality of third data generated by the first sensor and a plurality of fourth data generated by the second sensor in the second time period to the same second time period. To generate the analysis data that a disaster factor is generated for any second difference value when the second difference value and the set value are higher than the set value. Seokbu, and that transmits the second time period is input through the input unit to the sensor and comprising an analysis of data generated by the analysis unit to the server-part transmission to be transmitted to the manager terminal to the solving means.

As described above, the present invention has an effect of preventing the risk of occurrence of a disaster by using the collected data by collecting data from a sensor that may cause a disaster.

1 is a configuration diagram of a conventional disaster management system

Figure 2 is a block diagram of a wooden traditional building disaster situation early warning system according to an embodiment of the present invention

3 is a server block diagram according to an embodiment of the present invention.

4 is an exemplary graph for measuring a set value according to an embodiment of the present invention.

5 is a sensor arrangement example according to an embodiment of the present invention

6 is an exemplary graph for disaster determination according to an embodiment of the present invention.

Figure 7 is an illustration of a wooden traditional building disaster situation early warning system according to another embodiment of the present invention

[Description of the code]

10: fire fighting equipment group 20: video equipment installation group

30: control device 100: sensor

100-1: first sensor 100-2: second sensor

200, 200-1: Server 210: Receiver

220: setting unit 230: input unit

240 analysis unit 250 transmission unit

Best Mode for Carrying Out the Invention Hereinafter, configurations and operations will be described with reference to the accompanying drawings for an optimal embodiment of the present invention.

2 is a block diagram of a wooden traditional building disaster situation early warning system according to the present invention, wherein the wooden traditional building disaster situation early warning system includes a sensor 100 and a server 200.

In more detail, the sensor 100 generates first data every set first time period.

For example, assuming that the sensor 100 is a temperature sensor, the temperature sensor senses the temperature in real time, but if the set time period, for example, a one-minute period, the temperature value measured for each one-minute period is data-driven for one minute period. The first data are generated for each server, and the generated first data are transmitted to the server 200.

In this case, in the case of one minute period, when one minute of time period is input to the server 200, the sensor 100 generates first data every one minute, and one hour corresponds to 60 minutes, thereby generating sixty first data. In this case, 1440 data is generated and transmitted to the server 200 in one minute time period.

On the other hand, the sensor 100 is preferably sensors capable of detecting a disaster, typically any one of a temperature sensor, smoke sensor, humidity sensor, the human body sensor for detecting an intruder with a temperature sensor, the human body In addition to the smoke sensor, the human body sensor is preferably configured with a humidity sensor, as well as the temperature sensor, smoke sensor, humidity sensor is also configured to include two or more sensors after the human body sensor is also configured together. desirable.

This is to intruder to cope with acts such as arson by entering inside wooden traditional building.

In addition, the sensor 100 performs data communication with the server 200.

As illustrated in FIG. 3, the server 200 includes a receiver 210, a setup unit 220, an input unit 230, an analyzer 240, and a transmitter 250.

In more detail, the receiving unit 210 of the server 200 receives a plurality of first data generated every set first time period.

In addition, the receiving unit 210 receives the third data generated by the second time period, the third data generated by the second time period will be described in detail below in the analysis unit 240.

The setting unit 220 of the server 200 has a largest difference value among a plurality of first difference values obtained by comparing the second data measured in the first time period with respect to each of the plurality of received first data. Set the second difference value having the set value.

For example, referring to the graph of FIG. 4 for better understanding of the present invention, it is assumed that the plurality of first data are A 'data, B' data, C 'data, D' data, and E 'data. 'Data, B' data, C 'data, D' data and E 'data have time information and measured values (temperature values).

That is, A 'data has information of 10 ° C and 30 minutes, B' data has information of 12 ° C and 31 minutes, C 'data has information of 16 ° C and 32 minutes, and D' data has 14 ° C. And 33 minutes, and the E 'data contains 12 degrees Celsius and 34 minutes.

In this case, each of the data of A ', B', C ', D', and E 'is based on the first data such as A', B ', C', D ', and E' data according to a time period of 1 minute on the time axis. In the generation, assuming that the arbitrary first data is B ', the second data collected in the immediately preceding first time period becomes A', so the temperature value measured at B 'is 12 ° C and measured at A'. The 1st difference value becomes 2 degreeC because the temperature value which was made is 10 degreeC.

Repeating this process, the difference between C 'and B' becomes 4 ° C, the difference between D 'and C' becomes 2 ° C, and the difference between E 'and D' becomes 2 ° C. The second difference value having the largest difference value, that is, 4 ° C. of C 'and B' is set to the set value.

The reason for setting the set value is that if a fire occurs in the event of a disaster such as a fire, for example, the wooden traditional building is damaged so that it cannot be handled after about 5 minutes. 5 minutes in advance to determine.

According to the measurement results of Dosan Seowon, Andong, Gyeongsangbuk-do, Korea, using the present invention and the temperature sensor to generate the set value, it may be as high as 1.6 ° C per minute per minute, and most of the temperature is 1.0 ° C.

When the temperature rises to 1.6 ℃ per minute, it is analyzed that factors such as heating and cooking facilities can rise due to a special event at Dosan Seowon, but the situation immediately occurs even if a minimum element that can cause a fire occurs. In order to cope with, the set value is set to the second difference value having the largest difference value among the first difference values.

When the plurality of sensors 100 are configured, the server 200 having the setting unit 220 obtains the setting values for each sensor in the setting unit 220 and transmits the setting values for each sensor through the transmitter 250. It is also preferable.

For example, if the A sensor installed in the doorway, the B sensor mounted on the ceiling, the C sensor installed on the floor as shown in Figure 5 is installed in any space of the traditional wooden building A sensor is the doorway because it is the doorway from time to time As the sensor opens and closes, it is very sensitive to the influence of the external environment, so the value measured by the A sensor changes from time to time, but the B and C sensors will have a constant measured value than the A sensor. If the same setting value is given to the same value, the A sensor installed at the doorway is often misidentified that a disaster has occurred, so it is desirable to have a different setting value for each sensor.

Since the setting unit 220 is difficult to apply a uniform set value due to environmental conditions such as place, location, and season, the setting unit 220 automatically applies the set value according to the setting cycle.

In addition, the setting unit 220 is difficult to apply a uniform set value according to the environmental conditions such as place, location, season, so that the set value is applied by the numerical calculation of the user.

That is, in the case of the temperature sensor, the difference value is large depending on the seasons of spring, summer, autumn, and winter. 200).

In the input unit 230 of the server 200, a second time period is input to determine whether a disaster component is generated by a user.

That is, when the second time period is input, the input second time period is transmitted to the sensor 100 through the transmitter 260 to generate third data according to the second time period.

The analyzing unit 240 of the server 200 receives the setting value set by the setting unit 220 and the second time period input by the input unit 230 is transmitted to the sensor 100. By a time period, a plurality of second differences obtained by receiving a plurality of third data generated by the sensor 100 and comparing each of the received third data with the fourth data measured in the previous second time period. Comparing the value with the set value, the analysis data is generated for the second difference value when the value is higher than the set value.

For example, the analysis unit 240 will be described with reference to FIG. 4. First, if the set value is set to 3 ° C., the time period A 'data temperature value is 10 ° C. and B' data temperature value is 12 ° C. The difference between 'data' and 'B' data is 2 ℃, the temperature of B 'data is 12 ℃ and the temperature of C' data is 16 ℃, so the difference between B 'and C data is 4 ℃. C 'data temperature value is 16 ° C and D' data temperature value is 14 ° C, so the difference between C'data and D'data is 2 ° C, D'data is 14 ° C and E'data Since the temperature value is 12 ℃, the difference value is 2 ℃.

At this time, the time period over the set value 3 ℃ is a time period between the B 'data and the C' data to determine that there is a disaster component and the server 200 will generate the analysis data.

In other words, the analysis data does not transmit the fact that a disaster has occurred, but it is data to remove the disaster element by notifying that there is a minimum element that can occur. It is for immediate response before.

In addition, the analyzer 240 receives the sixth data which is less than or equal to the predetermined value in the second time period following the second second time period after receiving the fifth data exceeding the set value in the second arbitrary time period. If received, it is analyzed that no disaster is generated and the analysis data generation is blocked.

For example, when the sensor 100 is a non-contact temperature sensor among the temperature sensors, the sensor does not measure the ambient temperature, but measures the temperature at a predetermined distance. In this case, it is not analyzed that a disaster such as fire has occurred.

More specifically, with reference to FIG. 6, F 'data has no disaster element below the set value, G' data has a disaster element occurrence state above the set value, and H 'data has no disaster element below the set value. In the case of a state, the rapid rise in temperature, as shown in time period 1, when the F 'data and the G' data are measured, corresponds to the measurement of a human temperature in front of the temperature sensor. Falling is a measure of the passing of a person in front of the temperature sensor, thus keeping the disaster free.

As described above, when the measured value within at least three to five time periods returns from the state in which the disaster element is generated to the absence of the disaster element again, it is determined that the disaster cannot occur.

Next, the analyzer 240 is equal to or rises with the fifth data in the second time periods after the second after the second time period after receiving the fifth data exceeding the set value in the second second time period. In the case where the received seventh data is received, it is analyzed that a disaster factor has occurred and generates analysis data.

For example, assuming that the set value is 4 ° C., if a temperature value risen by 6 ° C. in the second time period is measured, it is in a state in which it has exceeded the set value, and in a state where a disaster element has occurred, If the temperature continues to be the same or elevated, such as 7 ° C and then 7 ° C in the second time period, the analysis data is generated as having a continuity of the disaster component.

Even if data having continuity is received by the external environment, the analysis data is generated in a preventive manner.

In particular, the analysis unit 240 sequentially receives from the sensor every second until 1 minute has elapsed from the time when the third data is generated when the third data generated in the second arbitrary time period is equal to or greater than a set value. When the eighth data is compared with the fourth data for obtaining the second difference value generated in the second random time period, if all the eighth data received are equal to or greater than a set value, a disaster factor is analyzed and within one minute. If any one of the eighth data received is less than or equal to a predetermined value, it is analyzed that no disaster factor has occurred.

For example, when data is received from a temperature sensor, the third data generated in any second time period is 30 ° C., and the fourth data for obtaining a second difference value generated in the second arbitrary time period is If the set value is 25 ° C and the set value is 4 ° C, the eighth data is received every second for 1 minute when it is analyzed that a disaster factor occurs because the third data 30 ° C and the fourth data 25 ° C are higher than the set value 4 ° C.

At this time, if all of the plurality of eighth data has a value greater than or equal to the set value of 4 ℃ until one minute has elapsed, this means that a disaster element has occurred, and if any one of the plurality of fourth data is below the set value, Disaster is not considered to have occurred.

On the other hand, the reason for receiving the eighth data every second during the 1 minute is that it is difficult to extinguish the fire when about 5 minutes have elapsed in the case of the traditional wooden building, and since the wooden traditional building is largely lost, the disaster within one minute This is to analyze the factors and identify the disaster factors in the remaining 4 minutes and respond quickly.

In addition, the reason why it is not regarded as a disaster element when any one of the eighth data is less than or equal to the set value is that the continuity is increased, whereas the temperature rises or maintains when a fire is generated and generated by fire. If there was a breakdown in this situation, it means that it did not develop into a fire at the flower garden, so that no disasters occurred.

For example, if a security guard visits a wooden traditional building, typically a cultural property building, turns on a light in an arbitrary space under special circumstances and leaves the space after patrol, a disaster factor occurs but it cannot develop into a disaster because there is no continuity. Do not analyze as occurrence of disaster.

As a result, the server 200 analyzes that there is continuity in the event of a disaster. In other words, in case of a disaster such as a fire, if a fire source occurs and a fire occurs, it has a continuity of elements (temperature) that the fire has, and this is analyzed to prevent fire in advance 5 minutes before the fire.

The transmitter 250 of the server 200 transmits the second time period input through the input unit 230 to the sensor 100, and also transmits the analysis data generated through the analyzer 240 to the manager terminal. To transmit.

At this time, the analysis data is displayed on the administrator terminal so that the administrator can respond immediately.

The wooden building disaster situation early warning system according to another embodiment of the present invention includes a first sensor 100-1, a second sensor 100-2, and a server 200-1.

More specifically, the first sensor 100-1 for generating first data every set first time period; A second sensor (100-2) generating second data every set first time period; A receiver configured to receive the generated first and second data in a plurality of pairs by binding the same first period of time, and obtain a first difference value for each of the paired first and second data to set the largest difference value. A setting unit configured to set the input unit; an input unit to which a second time period is input by a user; and a second time period input by the input unit to receive a setting value set by the setting unit, wherein the first and second sensors 100-1, 100-3) a plurality of third data generated by the first sensor 100-1 and a plurality of fourth data generated by the second sensor 100-2 in the second time period. A second difference value is obtained for each of the third and fourth data by combining the same second time periods, and the second difference value and the predetermined value are compared with respect to any second difference value when the value is higher than the set value. Analysis of Disaster Factors Occurred The server 200-1 includes an analyzer configured to generate data and a transmitter configured to transmit a second time period input through the input unit to a sensor and transmit the analyzed data generated through the analyzer to a manager terminal.

More specifically, another embodiment of the present invention is to analyze whether a disaster element has occurred by using the environmental conditions between the two sensors, as described with reference to Figure 7, a certain environment in any space inside the wooden traditional building The condition is fulfilled.

For example, when the first sensor 100-1 is disposed above the wooden traditional building and the second sensor 100-2 is disposed below the wooden traditional building, the first sensor 100-1 is measured and generated by the first sensor 100-1. The value between the first data generated and the second data measured by the second sensor is always within a stable range in the absence of a disaster.

Therefore, in order to set the stable range, the first difference value of the first and second data generated by the first and second sensors 100-1 and 100-2 is calculated for each same first time period, and the highest value is obtained. It is to set the set value (stable range).

If the flower source is generated in the first sensor 100-1, the first difference value between the first sensor 100-1 and the second sensor 100-2 in which the flower source is generated will be analyzed to be higher than the set value. This implies that the garden eventually occurred.

In addition, the present invention using the two sensors (100-1, 100-2) will be omitted for the parts that can be generated in conjunction with the invention consisting of one sensor described on the basis of Figures 2 to 6.

In the drawings and detailed description of the preferred embodiments are disclosed, the specific terms used above are used only for the purpose of illustrating the present invention, it is used to limit the scope of the invention described in the meaning limitations or claims It is not.

Therefore, those skilled in the art can be various modifications and other equivalent embodiments from this, and the true technical protection scope of the present invention should be determined by the technical spirit of the claims.

Claims

A sensor for generating first data every set first time period;

A receiver for receiving a plurality of first data generated for each of the set first time periods, and a plurality of first data obtained by comparing the second data measured in the first time period with respect to each of the received plurality of first data. A setting unit for setting a second difference value having the largest difference value among the difference values as a setting value, an input unit to which a second time period is input by a user, and receiving a setting value set in the setting unit and inputted by the input unit. As the second time period is transmitted to the sensor, the plurality of third data generated by the sensor is received by the second time period, and the fourth data measured in the immediately preceding second time period for each of the received third data. A disaster component is generated for the second difference value when the plurality of second difference values obtained by comparing with and the set value are respectively higher than the set value. A wooden building disaster situation comprising an analysis unit for generating analysis data, and a server configured to transmit a second time period input through the input unit to a sensor and transmit the analysis data generated through the analysis unit to a manager terminal. Early warning system.
The method of claim 1, wherein the analysis unit

If the fifth data below the setting value is received in the second time period following the second time period after the fifth data exceeding the setting value is received in any second time period, no disaster element occurs. Disaster situation early warning system for a wooden building, characterized in that the analysis data generation is blocked.
The method according to claim 1 or 2, wherein the analysis unit

When the seventh data equal to or higher than the fifth data is received in the second time periods after the second arbitrary time period after the fifth data exceeding the set value is received in the second time period, Disaster situation early warning system for a wooden building, characterized in that the analysis of the occurrence of disaster factors to generate the analysis data.
The method of claim 1, wherein the analysis unit

When the third data generated in the second arbitrary time period is equal to or larger than a set value, the eighth data sequentially received from the sensor every second until one minute ± 15 seconds have elapsed since the third data is generated; Comparing the fourth data for obtaining the second difference value generated in any second time period, if all the eighth data received are equal to or greater than the set value, a disaster factor is analyzed and among all the eighth data received within one minute. Disaster situation early warning system for a wooden building, characterized in that if any one of the eighth data is less than the set value, it is analyzed that no disaster factor has occurred.
The method of claim 1, wherein the setting unit

It is difficult to apply uniform set point by environment condition such as place, location and season, so that setting value is automatically applied according to setting period.
The method according to claim 1 or 5, wherein the setting unit

Disaster situation early warning system for wooden buildings, characterized in that the set value is applied by numerical calculation of the user because it is difficult to apply uniform set value by environmental conditions such as place, location and season.
The method of claim 1, wherein the sensor

Disaster situation early warning system for traditional wooden buildings, characterized in that any one of the temperature sensor, smoke sensor, humidity sensor.
The method of claim 7, wherein the sensor

Disaster situation early warning system for a wooden building, characterized in that configured to include at least one or more of the temperature sensor, smoke sensor, humidity sensor.
The method of claim 1, wherein the server

Wooden building construction disaster situation early warning system, characterized in that the setting unit obtains the setting value for each sensor in the case of a plurality of sensors configured to transmit the setting value for each sensor through the transmitter.
A first sensor for generating first data every set first time period;

A second sensor generating second data every set first time period;

A receiver configured to receive the generated first and second data in a plurality of pairs by binding the same first period of time, and obtain a first difference value for each of the paired first and second data to set the largest difference value. A setting unit configured to set the input unit, an input unit to which a second time period is input by a user, and a setting value set by the setting unit is received and a second time period inputted by the input unit is transmitted to the first and second sensors. A second difference value for each of the third and fourth data by tying a plurality of third data generated by the first sensor and a plurality of fourth data generated by the second sensor in the second time period to the same second time period. To generate the analysis data that a disaster factor is generated for any second difference value when the second difference value and the set value are higher than the set value. Seokbu wooden traditional architecture disaster early warning system, characterized in that transmits the second time period is input through the input unit to the sensor and comprising an analysis of the data generated through the above analysis to the server-part transmission to be transmitted to the administrator terminal.