KR102455803B1 - Devices and methods for detecting fire - Google Patents

Abstract

A sensing device is provided. The detection device includes: a detection unit for detecting a component of a fire-related gas contained in the air; It may include an analysis unit for determining the occurrence of the fire through the analysis of the gas component or identifying information on the source of the fire.

Description

Fire detection devices and methods {Devices and methods for detecting fire}

The present invention relates to an apparatus and method for detecting a fire.

As the temperature rises, the mountains become dry in winter and the soil becomes less humid. Even a small forest fire can quickly spread to a large forest fire.

When a fire occurs in a mountainous area where there are few people, the initial response is delayed, so a considerable budget and manpower are invested in extinguishing the forest fire, and the damage is enormous.

Although it is very difficult to predict the timing and location of a fire in advance, it is very important for early extinguishment to detect the flame at an early stage, the exact location of the ignition point, and the size of the fire when a fire occurs.

However, the establishment of a regular monitoring system and communication network for a mountainous or wide area with few people requires a lot of review from an economic point of view.

Korean Patent Publication No. 2135619 discloses a technology for detecting wildfires using a heat sensor.

Korean Patent Publication No. 2135619

An object of the present invention is to provide a detection device and a detection method capable of early detection of fire and accurate identification of source information.

The detection device of the present invention includes a detection unit for detecting a component of a fire-related gas contained in the air; It may include an analysis unit for determining the occurrence of the fire through the analysis of the gas component or identifying information on the source of the fire.

The detection method of the present invention includes an input step of receiving data from a detection unit installed at a fire expected site; a normalization step of normalizing the data; a first step of first determining whether a fire has occurred based on the detection time of the sensing unit using a multilayer neural network; a second step of comparing and analyzing the first determination result with a previously identified data pattern, and secondarily determining whether a fire has occurred according to the analysis result; and an estimation step of estimating whether a fire has occurred using the second determined result.

The detection device and detection method of the present invention can detect a fire or identify a source by analyzing a component of a fire-related gas, that is, a component of smoke.

According to the present invention, it is possible to determine whether a fire has occurred through smoke before the fire spreads in earnest. As a result, it is possible to take the initial action of fire suppression and fire evacuation.

In addition, the sensing device of the present invention can quickly and accurately grasp the position of the source by using the measurement results of a plurality of sensing units that know the installation position.

Also, the sensing device of the present invention may have a storage unit in which information sensed by the sensing unit or an analysis result of the corresponding information is stored. When communication is cut off due to a fire, the data stored in the storage unit may play an important role in order to prepare a fire prevention measure in the future. Accordingly, a means for protecting the storage unit at the scene of a fire can be provided.

1 is a block diagram showing a sensing device of the present invention.
2 is a diagram showing toxic gases generated during a fire.
3 is a graph showing the relative adsorption amount of the gas sensor.
4 is a schematic diagram showing a sensing unit of the present invention.
5 is a schematic diagram showing another sensing unit of the present invention.
6 is a schematic diagram showing a plurality of sensing units;
7 is a schematic diagram showing the operation of the sensing device of the present invention.
8 is a flowchart illustrating a sensing method of the present invention.
9 is a schematic diagram summarizing information used in each step of the sensing method of the present invention.
10 is a schematic diagram illustrating a pre-fire linkage model using a recurrent neural network.
11 is a schematic diagram illustrating a storage unit.
12 is a diagram illustrating a computing device 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.

In this specification, duplicate descriptions of the same components will be omitted.

Also, in this specification, when a component is referred to as 'connected' or 'connected' to another component, it may be directly connected or connected to the other component, but other components in the middle It should be understood that there may be On the other hand, in the present specification, when it is mentioned that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that the other element does not exist in the middle.

In addition, the terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention.

Also in this specification, the singular expression may include the plural expression unless the context clearly dictates otherwise.

Also, in this specification, terms such as 'include' or 'have' are only intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, and one or more It should be understood that the existence or addition of other features, numbers, steps, acts, components, parts, or combinations thereof, is not precluded in advance.

Also in this specification, the term 'and/or' includes a combination of a plurality of listed items or any of a plurality of listed items. In this specification, 'A or B' may include 'A', 'B', or 'both A and B'.

Also, in this specification, detailed descriptions of well-known functions and configurations that may obscure the gist of the present invention will be omitted.

1 is a block diagram showing a sensing device of the present invention. 2 is a diagram showing toxic gases generated during a fire. 3 is a graph showing the relative adsorption amount of the gas sensor.

The sensing device shown in FIG. 1 may include a sensing unit 100 and an analysis unit 200 .

The detection unit 100 may detect a fire-related gas component contained in the air. In other words, when the detection unit 100 is exposed to smoke generated due to a fire, the detection unit 100 may detect the smoke. Smoke produced by a fire at a specific point can be propagated by the wind. When the smoke propagates to the detection unit 100 , the detection unit 100 may detect a fire-related gas component contained in the air, that is, a smoke component generated due to a fire.

The analysis unit 200 may determine the occurrence of a fire or determine the source information of the fire through the analysis of the gas component. The analysis unit 200 may be formed integrally with the sensing unit 100 or may be formed separately.

General fire sensors and alarms that detect heat tend to detect a fire in a certain advanced state due to the system configuration. In addition, it is difficult to determine the source of the ignition and the cause of the ignition after the fire is extinguished by using only the temperature information. As with a normal wildfire fire, the wider the fire, the more difficult it is to find the ignition point.

Fire monitoring and alarm systems for initial suppression of fire and analysis of causes of ignition points after suppression are being reviewed from various angles in various fields.

Gases produced in a fire (fire-related gas components) are rarely of a single substance. "Cellulose" produces 175 harmful products when burned, "PVC" produces about 70 harmful products when burned, and "General building materials" are wood-based, chlorine-based, fluorine-based, nitrogen-based, sulfur-based, when burned. create series, etc. As such, various materials create various kinds of harmful products during combustion, so it is very difficult to analyze the fire and cause by installing sensors for each combustion material one by one. However, it is also judged that it is difficult to analyze whether a fire has occurred and the cause of its ignition with several sensors that detect CO2, CO, etc.

General semiconductor type sensors currently on the market measure the amount of a specific gas using the principle that the conductivity of a semiconductor changes due to an oxidation reaction that occurs when an external fire-related gas is introduced in a state where air is adsorbed in advance. In general, it does not only react with a specific gas, but also reacts with other gas substances, although there is a difference in sensitivity (resistance change). Therefore, it is preferable to detect a fire by detecting several types of fire-related gas components generated during a fire with one sensor. On the other hand, when determining the source through the deep learning technique and machine learning, it is preferable to use a plurality of sensors (Array Sensor type).

Using a small number of sensors and using deep learning techniques, multiple sources can be identified with a small number of sensors. In addition, the terminal configured in this way transfers the learning result to its own MCU (Micro Controller Unit) and transmits the determined content to the required upper stage using wired or wireless communication to cover a large area. )can do. In addition, since a low-cost MCU is used, it is advantageous for miniaturization and weight reduction.

In particular, in a large area, a fire detection terminal is installed in a certain unit and the current flow of fire can be grasped through the integrated monitoring screen (map), so the path of a fire can be blocked in advance.

After extinguishing the fire, by analyzing the time and source stored in the storage unit 190 in the terminal (sensing device), for example, the memory (EEPROM, SDCard), it is possible to know what type of material was ignited, and which type of material was ignited in the integrated monitoring part. It is possible to determine whether a fire has started near the terminal. If the storage unit 190 installed in the terminal is wrapped around the memory module 195 using epoxy so that it can withstand a fire, the storage unit 190 can be recovered in any environment to analyze the cause of the fire.

According to the sensing device of the present invention, a deep learning algorithm and a small number of sensors may be used to identify a source using numerous chemical components generated during a fire. When a high-performance personal computer (PC) or embedded processor is used, there may be restrictions in the initial cost and the size of the terminal product. The sensing device of the present invention can miniaturize the product by transplanting the learned model and weights to a general 32bits class ARM processor.

According to the present invention, the terminal corresponding to the detection unit 100 can directly determine the object corresponding to the source of the fire, that is, the source, and also store the detection time and identification information. Through this, it is possible to shorten the time required to determine the fire at the upper level (server level). And, since the terminal directly determines whether a fire exists, there is an advantage of being able to respond urgently.

In order to analyze the cause of the fire after extinguishing the fire, the storage unit 190 sealed with respect to flame and heat may store the time and the determination result each time when a specific event (eg, contact with a smoke component, etc.) occurs. The time information and the determination result recorded in the storage unit 190 may not be helpful for accurate component analysis, but may be a material that can determine which object has been ignited. And, even if the terminal itself is damaged due to fire, the sealing means or the thermal protection layer may include a material such as epoxy that is resistant to heat and does not burn so that only the storage unit 190 is protected. In addition, in the case of a place where power supply is not smooth when installed outdoors, power from an internal battery and solar power can be used. For example, a solar panel for converting sunlight into electrical energy and a battery for storing electrical energy may be provided in the sensing device corresponding to the terminal.

The sensing method of the proposed system and the deep learning application technology of the small processor can be applied to all parts that use artificial intelligence at the edge of various systems, other than to identify the fire source object. .

4 is a schematic diagram showing a sensing unit 100 of the present invention.

The sensing unit 100 may include a fan unit 130 , a filtering unit 150 , and a sensing unit 110 .

The fan unit 130 may forcibly suck in air containing a gas component. For example, the fan unit 130 may include a fan or a propeller rotated by a motor. External air may be forcibly sucked in by the rotation of the fan.

The filtering unit 150 may filter various foreign substances such as dust contained in the air.

When the fan unit 130 sucks air, the filtering unit 150 may be located upstream of the fan unit 130 in a direction in which the air flows. Since the fan unit 130 located downstream brings the wind from which foreign substances are filtered by the upstream filtering unit 150, it can be protected from various foreign substances contained in the air.

The sensing unit 110 may be provided with a sensing unit 110 installed in a flow path through which the filtered air flows and sensing a gas component. For example, the sensing unit 110 may include a gas sensor.

Normally, the fan unit 130 may rotate in a forward direction to suck in external air. When the fan unit 130 rotates in the forward direction, external air may be sucked into the sensing device through the filtering unit 150 . In this case, various filtered foreign substances may be adsorbed on one surface of the filtering unit 150 facing the outside.

When foreign substances adsorbed to the filtering unit 150 are accumulated, the suction power of air is lowered, and when the degree is severe, a fire may occur due to overheating of the fan unit 130 .

In order to completely preserve the suction power of the air and suppress the occurrence of a self-fire, the fan unit 130 may rotate in the reverse direction to blow air to the outside when a setting event occurs.

When the fan unit 130 rotates in the reverse direction, the air inside the sensing device is blown toward the filtering, and foreign substances seated on one surface of the filtering unit 150 facing the outside are removed from the filtering unit ( 150) can be removed.

The setting event may include at least one of a setting period or a detection time of a fire-related gas component. For example, the fan unit 130 may rotate in the reverse direction for a set time every set period. Alternatively, when a fire-related gas component is sensed, the fan unit 130 may rotate in the reverse direction for a while (for a set time) to smoothly inhale the fire-related gas component.

A common flow path 101 through which air is introduced, and a plurality of detailed flow paths 105 connected in parallel to the common flow path 101 may be provided in the sensing device. In this case, the sensing unit 110 may be installed in each of the plurality of detailed flow paths 105 .

The sensing units 110 installed in each sub-channel 105 may operate independently of each other.

The analysis unit 200 may determine the occurrence of a fire by using any one of the plurality of detection units 110 .

The analysis unit 200 may identify source information using two or more detection units 110 installed in different detailed flow paths 105 . In order to specify what the source is, that is, to reveal the identity of the source, a plurality of different types of gas sensors may be provided. The plurality of gas sensors are elements corresponding to the sensing unit 110 , and may be separately installed in each of the plurality of detailed flow paths 105 .

For example, the selected gas sensor may detect a plurality of types of fire-related gas components and provide the detection result to the analysis unit 200 . The analysis unit 200 may include a fire determination model. The fire identification model can be generated through training of a deep learning model.

The detection result obtained from the selected gas sensor may be input to the fire determination model. The fire identification model may analyze the detection result according to a pre-learned pattern and determine whether there is a fire.

Certain gas sensors may focus on carbon dioxide, while other gas sensors may focus on ammonia. The detection results obtained from the plurality of sensors may be input to the source identification model generated through the deep learning model. Source information output from the source identification model may be stored in the storage unit 190 . The source information may include the type of the source, the location of the source, and the like.

Externally, the sensing device may be provided with a common tube 102 , a branch portion 104 , and a sub tube 106 .

The common pipe 102 may form a common flow path 101 through which air is sucked from the outside. For example, the common pipe 102 may be formed in a hollow pipe shape, and the hollow portion may correspond to the common flow path 101 through which air flows.

The branch 104 may be connected to the common pipe 102 and branch the single common flow path 101 into a plurality of detailed flow paths 105 .

The sub-pipe 106 may be connected to the branch 104 and form a sub-channel 105 . The subtubule 106 may extend parallel to the common pipe 102 .

The first central axis c1 of the first sub-pipe ① may be disposed closer to the common central axis o of the common flow path 101 than the second central axis c2 of the second sub-pipe ②.

A branch pipe 103 connecting the common pipe 102 and the detailed pipe 106 may be provided in the branch part 104 . Specifically, the branch 104 includes a first branch path 103a connecting the common pipe 102 and the first sub-pipe ①, and a second branch path connecting the common pipe 102 and the second sub-pipe ② ( 103b) may be provided.

Due to the distance d1 between the common central axis o and the first central axis c1 , a first resistance component that prevents the flow of air may be formed in the first branch path 103a. In order to overcome the distance difference d1 and connect the common central axis o and the first central axis c1 , the first branch path 103a may be formed to be curved with respect to the common flow path 101 . The curved first branch path 103a may function as a resistance component that obstructs the flow of air.

Due to the distance difference between the common central axis o and the second central axis c2 , a second resistance component that obstructs the flow of air may be formed in the second branch path 103b. In order to overcome the distance difference d2 and connect the common central axis o and the second central axis c2 , the second branch path 103b may be formed to be curved with respect to the common flow path 101 . However, the degree of curvature (curvature) of the second branch passage 103b may be gentler than that of the first branch passage 103a. As a result, the resistance component of the second branch passage 103b with respect to the flow of air may be less than that of the first branch passage 103a.

Due to the difference in the size of the resistance component, the amount of air passing through the sensing unit 110 installed in each sub-channel 105 may be different. If the amount of air passing through each of the sensing units 110 is different, it may be difficult to collect the sensing results of each sensing unit 110 to determine the source information.

The inner diameter r1 of the first sub-tube is smaller than the inner diameter r2 of the second sub-tube so that the same amount of air flows through the first sub-tube and the second sub-tube regardless of the difference between the first resistance component and the second resistance component can be

A sensing unit 110 installed in the detailed flow path 105 formed by the first sub-pipe and the flow path formed by the second sub-pipe may be provided to detect a gas component. At this time, the sensing unit 110 installed in the first sub-pipe and the sensing unit 110 installed in the second sub-pipe may detect a fire-related gas component with respect to the air passing through the same amount for a unit time.

Another method of making the amount of air flowing through the plurality of sub-pipes 106 equal may be provided.

5 is a schematic diagram showing another sensing unit 100 of the present invention.

For example, a plurality of sub-pipes 106 connected to the output end of a single common pipe 102 may be provided. It is assumed that an imaginary circle p centered on the common central axis o of the common tube 102 .

In this case, the plurality of sub-tubes 106 may be arranged at equal intervals on the circumference of the virtual circle p. In addition, the inner diameters of the plurality of sub-pipes 106 may all be identically formed. A detection unit 110 for detecting fire-related gas components such as carbon dioxide and carbon monoxide may be provided in each of the plurality of sub-pipes 106 .

According to this embodiment, the air output through the output end of the single common pipe 102 may be equally distributed to each sub pipe 106 . In the case of the embodiment of FIG. 4 , although the amount of air passing through the sensing unit 110 per unit time is the same, there may be a difference in the air velocity. On the other hand, in the case of the embodiment of FIG. 5 , since the speed of the air is also the same, the reliability of the sensing result of the sensing unit 110 may be partially improved.

The analysis unit 200 includes location information of the detection unit 100 , component information corresponding to a result of detecting a gas component in the detection unit 100 , and time information indicating a detection time at which the gas component is detected by the detection unit 100 . can be obtained. The analysis unit 200 may analyze the location of the source using the location information and time information, and may determine the occurrence of a fire or analyze the identity of the source using the component information.

6 is a schematic diagram illustrating a plurality of sensing units 100 .

As described above, the analysis unit 200 may be formed integrally with the sensing unit 100 or may be formed separately. The analysis unit 200 formed separately from the detection unit 100 may be provided in a server that communicates with the plurality of detection units 100 .

A plurality of sensing units 100 may be disposed at different positions.

The plurality of sensing units 100 may communicate with the server directly or communicate with the server through an intermediate relay station 50 . To this end, the detection unit 100 may be provided with a communication unit 180 that transmits the detection result of the gas component to the analysis unit 200 by wire or wireless.

The analysis unit 200 may use the detection result received from the detection unit 100 through the communication unit 180 to determine the occurrence of a fire or to determine information about the source of the fire.

The analysis unit 200 uses the location information of the plurality of detection units 100 , time information and component information obtained from the plurality of detection units 100 , and wind information of the region where the detection unit 100 is installed to determine the source of the source. location can be analyzed.

As an example, it is assumed that a fire-related gas component is detected at 1:11 pm by the first detection unit 100 installed at the first position. An east wind of 1 m/s is blowing in the area.

Here, the first location may be location information of the sensing unit 100 . 1:11 may correspond to time information obtained from the sensing unit 100 . A fire-related gas component detected by the detection unit 100 may correspond to the component information. An east wind of 1 m/s per second may correspond to wind information.

The analysis unit 200 may determine that the source exists to the east of the first location by using the wind information and the component information. However, only information obtained from one detection unit 100 can determine whether a fire has occurred and the degree of the direction of the source, and it is difficult to know the distance from the source. However, when related information is obtained from the plurality of sensing units 100 , the distance to the source or the location of the source may be specifically analyzed using a geometric method or a principle such as triangulation.

For example, the fire-related gas component may not be detected in the other detection unit 100 existing in the second location to the east of the first location. In this case, the source may be identified as being present in the middle between the first position and the second position by the analysis unit 200 .

7 is a schematic diagram showing the operation of the sensing device of the present invention.

The sensing device shown in FIG. 7 may be in a state in which the sensing unit 100 and the analysis unit 200 are integrally formed.

A sensing unit 110 , a power supply unit 160 , an analysis unit 170 , a communication unit 180 , and a storage unit 190 may be provided.

The detector 110 may detect a plurality of fire-related gas components with one smoke sensor.

The analysis unit 170 may receive fire-related gas components detected from a plurality of smoke sensors and analyze source information. The analysis unit 170 may acquire a data set for learning, and input a fire-related gas component to a deep learning model using the data set. The deep learning trained model may include a source identification model for identifying the source. The source identification model may be designed, learned, and verified by the analysis unit 170 .

The communication unit 180 may transmit the detection result of the detection unit 110 to an external server or may transmit the analysis result of the analysis unit 170 to an external server.

The storage unit 190 may store the detection result of the detection unit 110 or store the analysis result of the analysis unit 170 .

The power supply unit 160 may provide driving power to the sensing unit 110 , the analysis unit 170 , and the communication unit 180 . The power supply unit 160 may include a solar panel that generates electricity using sunlight.

8 is a flowchart illustrating a sensing method of the present invention. 9 is a schematic diagram summarizing information used in each step of the sensing method of the present invention. 10 is a schematic diagram illustrating a pre-fire linkage model using a recurrent neural network.

The sensing method of FIG. 8 may be performed by the sensing device of FIG. 1 . Specifically, the detection method of FIG. 8 may correspond to the operation of the fire monitoring deep learning model mounted on the analysis unit 170 or the analysis unit 200 .

The sensing method may include an input step (S510), a normalization step (S520), a first step (S530), a second step (S540), and an estimation step (S550).

In the input step ( S510 ), data of a fire-related gas component may be input from the detection unit 110 installed at a fire expected site. As shown in FIG. 9 , measured values may be obtained in real time or periodically from the plurality of sensing units 110 .

In the normalization step ( S520 ), data received from the sensing unit 110 may be normalized.

In the first step (S530), it is possible to first determine whether or not a fire has occurred based on the detection time of the sensing unit 110 using a multilayer neural network. As an example, the analysis unit 170 may first determine whether a fire exists based on the detection time of the sensor using a multilayer neural network. However, since determining a fire with only one determination has several unsafe factors, it can be determined primarily as a fire when a fire is continuously detected for a set time. In FIG. 9 , when a fire is determined at time T1, T2, and T3 within the actual time, the analysis unit 170 may generate corresponding information J1, J2, and J3, respectively.

In the second step (S540), the primary determination result may be compared and analyzed with the previously identified data pattern, and a secondary determination may be made as to whether or not a fire has occurred according to the analysis result. In the second step, a recurrent neural network (RNN) may be applied. The analysis unit 170 may input J1, J2, and J3 corresponding to the primary determination result to the cyclic neural network. The recurrent neural network compares and analyzes J1, J2, and J3 with the existing fire occurrence patterns, and can determine whether or not there is a fire.

When determining whether a fire exists using a simple first-order multi-layer neural network (multi-layer perceptron), a determination error occurs when determining as a quantitative numerical pattern due to external temperature, sensor error due to noise, unexpected malfunction of the analysis unit 170, etc. can occur. Therefore, when various precursor phenomena (only smoke is generated, smoke is generated while ignited, large amount of ignition) are applied to the recurrent neural network model (RNN) when a fire occurs, the error in fire identification can be reduced.

In the estimating step ( S550 ), it is possible to estimate whether a fire has occurred using the secondary determined result.

11 is a schematic diagram illustrating the storage unit 190 .

The sensing unit 100 may be provided with a storage unit 190 for storing component information corresponding to the detection result of the gas component and time information indicating the time when the gas component is sensed. On the other hand, when the analysis unit 200 and the detection unit 100 are integrally formed, the storage unit 190 may store the source information and time information analyzed by the analysis unit 200 .

The analysis unit 200 formed separately from the detection unit 100 may determine the source information by using the component information and time information stored in the storage unit 190 after extinguishing the fire.

The storage unit 190 includes a tubular case 191, a heat protection layer 193 filled in the inside of the case 191, a connector 199 electrically connected to the sensing unit 110 for detecting a gas component, A memory module 195 in which component information or time information is stored may be provided.

The memory module 195 of the storage unit 190 may be installed inside the case 191 . In this case, the thermal protection layer 193 may cover all portions of the memory module 195 except for the connection pattern 197 connected to the connector 199 .

In addition, the connection pattern 197 may be disconnected so that the physical connection to the connector 199 is released when the set temperature is satisfied. It is possible to prevent external heat from being transferred to the memory module 195 through the connection pattern 197 due to the release of the physical connection. The memory module 195, in which heat transfer is prevented, is safely protected from external heat by the thermal protection layer 193, and component information stored in the memory module 195, time information, and analysis analyzed by the self-analysis unit 200 Data such as results can be safely preserved.

12 is a diagram illustrating a computing device according to an embodiment of the present invention. The computing device TN100 of FIG. 12 may be a device (eg, a sensing device, etc.) described herein.

In the embodiment of FIG. 12 , the computing device TN100 may include at least one processor TN110 , a transceiver device TN120 , and a memory TN130 . Also, the computing device TN100 may further include a storage device TN140 , an input interface device TN150 , an output interface device TN160 , and the like. Components included in the computing device TN100 may be connected by a bus TN170 to communicate with each other.

The processor TN110 may execute a program command stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to an embodiment of the present invention are performed. The processor TN110 may be configured to implement procedures, functions, and methods described in connection with an embodiment of the present invention. The processor TN110 may control each component of the computing device TN100 .

Each of the memory TN130 and the storage device TN140 may store various information related to the operation of the processor TN110 . Each of the memory TN130 and the storage device TN140 may be configured as at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory TN130 may include at least one of a read only memory (ROM) and a random access memory (RAM).

The transceiver TN120 may transmit or receive a wired signal or a wireless signal. The transceiver TN120 may be connected to a network to perform communication.

On the other hand, the embodiment of the present invention is not implemented only through the apparatus and/or method described so far, and a program for realizing a function corresponding to the configuration of the embodiment of the present invention or a recording medium in which the program is recorded may be implemented. And, such an implementation can be easily implemented by those skilled in the art from the description of the above-described embodiments.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as defined in the following claims are also presented. It belongs to the scope of the invention.

50… Relay Station 100… detection unit
101… Common Euro 102… common hall
103… Branch road 103a… to the first branch
103b... 2nd branch 104... bifurcation
105… Cebu Euro 106… details
110… Detecting unit 160… power supply
170… Analysis unit 180… communication department
190… storage unit 191… case
193… Thermal protective layer 195... memory module
197… Connection pattern 199… connector
200… analysis unit

Claims (12)

a detection unit that detects fire-related gas components contained in the air;
and an analysis unit for determining the occurrence of the fire or identifying information on the source of the fire through the analysis of the gas component; and
A common pipe forming a common flow path through which the air is sucked from the outside, and a plurality of detailed pipes connected to the output end of the single common pipe are provided,
Assuming an imaginary circle centered on the common central axis of the common tube,
A plurality of the sub-tubes are arranged at equal intervals on the circumference of the virtual circle,
The inner diameters of the plurality of detailed pipes are all formed the same,
A sensing device provided in each of the plurality of sub-pipes and provided with a sensing unit for sensing the gas component.
According to claim 1,
A fan unit for forcibly sucking in the air containing the gas component, a filtering unit for filtering foreign substances contained in the air, a sensing unit installed in a flow path through which the filtered air flows and detecting the gas component is provided,
Usually, the fan rotates in the forward direction to suck in the air from the outside,
When a setting event occurs, the fan unit rotates in a reverse direction to blow the air to the outside.
According to claim 1,
A common flow path through which the air is introduced, a plurality of detailed flow paths connected in parallel to the common flow path, and a sensing unit installed in each of the plurality of detailed flow paths are provided,
The sensing units installed in each detailed flow path operate independently of each other,
The analysis unit determines the occurrence of the fire using any one of the plurality of detection units,
The analysis unit is a sensing device for detecting the source information by using two or more of the sensing units installed in different detailed flow paths.
a detection unit that detects fire-related gas components contained in the air;
and an analysis unit for determining the occurrence of the fire or identifying information on the source of the fire through the analysis of the gas component; and
A common pipe forming a common flow path through which the air is sucked from the outside, a branching part connected to the common pipe and branching the single common flow path into a plurality of detailed flow paths, a plurality of connecting to the branching part and forming the detailed flow path A detailed view of the
The sub-pipe extends parallel to the common pipe,
A first sub-section and a second sub-section are provided;
The first central axis of the first sub-pipe is disposed closer to the common central axis of the common flow path than the second central axis of the second sub-pipe,
A first branch path connecting the common pipe and the first sub-pipe is provided in the branch part, and a second branch path connecting the common pipe and the second sub-pipe is provided;
A first resistance component is formed in the first branch path due to the distance difference between the common central axis and the first central axis, which prevents the flow of the air,
A second resistance component is formed in the second branch path due to the distance difference between the common central axis and the second central axis, which prevents the flow of the air,
The inner diameter of the first sub-tube is the same as that of the second sub-tube so that the same amount of air flows through the first sub-tube and the second sub-tube regardless of the difference between the first resistance component and the second resistance component It is formed smaller than the inner diameter,
A sensing device provided in the sub-channel formed by the first sub-pipe and the flow path formed by the second sub-pipe and provided with a sensing unit configured to sense the gas component.
delete According to claim 1,
the analysis unit acquires positional information of the detection unit, component information corresponding to a result of detecting the gas component by the detection unit, and time information indicating a detection time at which the gas component is sensed by the detection unit;
The analysis unit analyzes the location of the source using the location information and the time information, and determines the occurrence of a fire or analyzes the identity of the source using the component information.
7. The method of claim 6,
A plurality of the sensing units are disposed at different positions,
The analysis unit is configured to analyze the location of the source by using the location information of the plurality of detection units, the time information and the component information obtained from the plurality of detection units, and wind information of a region where the detection unit is installed. Device.
According to claim 1,
The detection unit is provided with a communication unit for transmitting the detection result of the gas component to the analysis unit by wire or wireless,
The analysis unit is a detection device for determining the occurrence of the fire or identifying information on the source of the fire by using the detection result received from the detection unit through the communication unit.
According to claim 1,
The sensing unit is provided with a storage unit for storing component information corresponding to the detection result of the gas component and time information indicating the time when the gas component is sensed,
The analysis unit detects the source information by using the component information and the time information stored in the storage unit after extinguishing the fire.
According to claim 1,
The sensing unit is provided with a storage unit for storing component information corresponding to the detection result of the gas component and time information indicating the time when the gas component is sensed,
The storage unit is provided with a cylindrical case, a heat protection layer filled inside the case, a connector electrically connected to a sensing unit for detecting the gas component, and a memory module in which the component information or the time information is stored, ,
The memory module is installed inside the case,
The thermal protection layer covers all portions of the memory module except for a connection pattern connected to the connector.
11. The method of claim 10,
When the connection pattern satisfies a set temperature, the sensing device is disconnected so that the physical connection to the connector is released.
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