KR102302316B1 - Video providing system for the location of the fire site of the building and the firefighting equipment - Google Patents

Abstract

The present invention provides a video providing system for the location of the fire site of a building and firefighting equipment. The video providing system for the location of the fire site of a building and firefighting equipment according to an embodiment of the present invention is includes a user device, a firefighting facility, an alarm, a CCTV, and a service control server. Because a member who first discovered fire can share the fact of the fire with the rest of the member, damage to life and property can be minimized.

Description

Video providing system for the location of the fire site of the building and the firefighting equipment

The present invention relates to an image providing system for the location of a fire place in a building and a firefighting device.

In general, when a fire occurs in a large-scale factory or large-scale industrial facility composed of several buildings, members of the large-scale industrial facility can recognize the fire through the fire alarm, but It is difficult to accurately grasp the situation, and the fact and location of the fire and the propagation of the situation are also difficult. In other words, even if someone finds the location of the fire and presses the emergency bell, it was impossible to accurately propagate the location of the fire as the work was divided into large-scale industrial facilities that were separated from noise and far away from each other.

In particular, in the case of large-scale workplaces that manufacture base paper and corrugated cardboard using waste paper and manufacture boxes, large and small fires frequently occur due to the collection, distribution, processing and manufacturing of paper and dust, and failure to respond to these fires in the early stages In addition to causing casualties and property damage due to the spread of fire, insurance companies are also refusing to purchase additional fire insurance, causing many problems. In addition, in conventional large-scale factories or industrial facilities, fire monitoring equipment including fire detectors and fire receivers are installed in specific areas or regions, and fire extinguishers and fire hydrants that can respond to initial fire suppression are installed in each area. There is a lack of rapid initial response in the event of a fire.

In particular, the rapid spread of fire and the use of firefighting facilities in the early stages of a fire are effective measures to prevent the spread of fire, but considering the general condition in which not many employees work in three shifts 24 hours a day in a large-scale workplace several times the size of a playground Even if someone finds the location of the fire and presses the emergency bell, there is a problem that the exact location of the fire cannot be propagated due to the noise from the factory and the distance too far. There was a problem that the damage to the car would be greater.

The problem to be solved by the present invention is that the invention is proposed to solve the above problems of the previously proposed methods, and the member who first discovered the fire through the user device carried by the members of a large-scale industrial facility caused a fire By composing the facts to be shared with the rest of the members, it is possible to quickly respond to fires occurring in large-scale industrial facilities, and to prevent the spread of fires, thereby minimizing secondary human and property damage. Its purpose is to provide an image providing system for the location of the fire place in the building and the location of the firefighting equipment.

In addition, the present invention spreads the fire occurrence between user devices and shares it with each other, but based on the location information of the user device of the member who first discovered and propagated the fire occurrence, the exact location of the fire occurrence and the location of a nearby firefighting facility can be found in the building. It is another object to provide an image providing system for the location of a fire place and firefighting equipment in a building, which provides it as a map map information of

In addition, in case there is no member, it is another object to provide an image providing system for the location of a fire place and firefighting equipment in a building that can detect a fire through a CCTV image and provide a fire image to the members.

The problems of the present invention are not limited to the problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

The image providing system for the location of a fire place and fire equipment in a building according to an embodiment for solving the above problem is a fire place and fire equipment in a building including a user device, a fire fighting facility, an alarm, a CCTV, and a service control server In the image providing system for the location of , the user device includes a first user device for fire propagation that detects and propagates a fire, and a second user device that receives and shares the fire from the first user device. Including, wherein the firefighting facility includes a fire extinguisher and a location notification cradle, the location notification cradle includes a main body on which the fire extinguisher is mounted and a notification unit built into the main body, and the notification unit determines whether or not the fire extinguisher is mounted A first notification unit and a second notification unit including a light source unit for outputting light and a sound output unit for outputting sound when the fire occurs, wherein the alarm includes a body unit, a speaker unit disposed on a lower surface of the body unit, and the a cover part surrounding the speaker part, wherein the body part includes a first module part and a second module part spaced apart from each other, and the first module part and the second module part are embedded in an outer surface of the body part, and the first module Each of the unit and the second module unit includes a first sensor unit, a first light emitting unit, a second sensor unit, and a second light emitting unit sequentially arranged in a first direction, and the first sensor unit and the second sensor unit Each of the parts includes at least one of a smoke sensor, a heat sensor, and a humidity sensor, the cover part includes a first part and a second part, and the first part and the second part are arranged alternately in the first direction. The first part is made of tedradecane, the second part is made of a metal material, and the CCTV includes a fixing part for fixing the CCTV, an extension part connected to the fixing part, and the extension part and It is connected to an outer housing unit, and includes an inner housing unit accommodated in the outer housing unit and including a photographing unit and an auxiliary photographing unit, wherein the fixing unit includes a plurality of first fixing unit air passages and second fixing unit air passages, My The inside of the first fixing part air passage is filled with silicon, and the inside of the second fixing part air passage is filled with tedradecane, the first fixing part air passage and the second fixing part air passage are alternately arranged with each other, and the Each of the first fixing part air passage and the second fixing part air passage has a cylindrical shape, and the diameter of each of the first fixing part air passage and the second fixing part air passage is 0.05 cm to 0.4 cm, and the The extension part connects the fixed part and the external housing part, the length is variable, the external housing part is made of a metal material, and a plurality of first external housing part air passages and a second external housing part air passages are included therein, The inside of the air passage of the first external housing part is filled with silicon, and the inside of the air passage of the second external housing part is filled with tedradecane, and each of the air passage of the first external housing part and the air passage of the second external housing part is a cylindrical column. shape, the diameter of each of the air passages of the first external housing part and the second external housing part is 0.1 cm to 0.8 cm, and the first sensor module and the second sensor module are disposed on the lower surface of the external housing part, , The first sensor module includes a thermal sensor, the second sensor module includes a voice recognition sensor for recognizing a human voice frequency and a GPS sensor for obtaining location information by analyzing a GPS signal, the first Each of the sensor module and the second sensor module has a heat conduction shield disposed on an outer surface thereof, and the heat conduction shield comprises 75 wt% of glass fiber, 17 wt% of phenolic resin, and 8 wt% of calcium carbonate, the thickness of the heat conduction shielding film is 0.1 cm to 0.3 cm, the heat conduction shield includes a plurality of holes, the diameters of the plurality of holes are 0.01 cm to 0.03 cm, and the service control server includes the first user device and the second user device, A map information storage management unit that interworks with the firefighting facility, the alarm, and the CCTV in a wireless communication method, and stores and manages drawing maps of buildings for each region include

The service control server further includes an alarm and a CCTV management unit, and the alarm and CCTV management unit, a communication unit that receives the captured image from the CCTV, and the captured image using deep learning-based artificial intelligence to re-evaluate whether or not there is a fire a fire determination unit for determining; and a fire notification unit for transmitting a fire notification to the first and second user devices and the firefighting facility through the communication unit when the fire determination unit determines that a fire has occurred; An evacuation route guide for guiding an evacuation route when receiving fire status confirmation information from the first user device and the second user device that has received a fire notification, and a place where a person is detected through the second sensor module a person presence determination unit in the building that analyzes the CCTV image of and a person location notification unit that transmits the presence or absence of a person in the building and the location of the person to the first user device and the second user device, wherein the CCTV further includes a microcontroller, and the first sensor module includes a set value When heat exceeding the set value is detected, a first control signal for moving the photographing unit in a direction in which heat exceeding the set value is detected is transmitted to the microcontroller, and the second sensor module is configured to detect a person , transmits a second control signal for moving the photographing unit in a direction in which the person is detected to the microcontroller, and the firefighting facility that has received the fire notification checks whether the fire extinguisher is mounted, and the fire extinguisher is mounted. If it is determined that there is, the light source unit and the sound output unit may be operated to inform the location of the fire extinguisher.

According to the image providing system for the location of a fire place and firefighting equipment in a building according to an embodiment, in a state in which a specific app is executed through a user device carried by members of a large-scale industrial facility, the fire occurrence is first discovered. By configuring so that members can share the fact of the fire with the rest of the members, it is possible to quickly respond to fires occurring in large-scale industrial facilities, and to minimize secondary damage to life and property by preventing the spread of fire. can make it happen

Furthermore, it is possible to detect the occurrence of a fire more accurately through CCTV and an alarm and to save lives at the same time.

Effects according to the embodiments are not limited by the contents exemplified above, and more various effects are included in the present specification.

1 is a diagram schematically showing an image providing system for a location of a fire place and a fire fighting device in a building according to an embodiment.
2 is a diagram schematically illustrating a service control server of an image providing system for a location of a fire place and a fire fighting device in a building according to an embodiment.
3 is a diagram schematically showing a state of use of a user device of the image providing system for the location of a fire place and firefighting equipment in a building according to an embodiment.
4 is a diagram schematically showing an alarm of the image providing system for the location of a fire place and firefighting equipment in a building according to an embodiment.
5 is a diagram schematically showing a CCTV of the image providing system for the location of a fire place and firefighting equipment in a building according to an embodiment.
6 is a diagram schematically showing a CCTV management unit of a service control server according to an embodiment.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims.

It should be understood that all flow diagrams, state transition diagrams, pseudo code, and the like may be tangibly embodied on computer-readable media and represent various processes performed by a computer or processor, whether or not a computer or processor is explicitly shown.

The functions of the various elements shown in the figures including a processor or functional blocks represented by similar concepts may be provided by the use of dedicated hardware as well as hardware having the ability to execute software in association with appropriate software. When provided by a processor, the functionality may be provided by a single dedicated processor, a single shared processor, or a plurality of separate processors, some of which may be shared. Like reference numerals refer to like elements throughout.

Hereinafter, specific embodiments will be described with reference to the accompanying drawings.

1 is a view schematically showing an image providing system for the location of a fire place and fire fighting equipment in a building according to an embodiment, and FIG. 2 is an image providing an image of a fire place and the location of a fire fighting equipment in a building according to an embodiment It is a view schematically showing a service control server of the system, and FIG. 3 is a view schematically showing the use of a user device of the image providing system for the location of a fire place and firefighting equipment in a building according to an embodiment, FIG. 4 is It is a view schematically showing an alarm of the image providing system for the location of a fire place and fire fighting equipment in a building according to an embodiment, and FIG. 5 is an image providing system for the location of a fire place and fire fighting equipment in a building according to an embodiment It is a view schematically showing the CCTV of, Figure 6 is a view schematically showing the CCTV management unit of the service control server according to an embodiment.

1 to 6 , the image providing system 100 for the location of a fire place and firefighting equipment in a building according to an embodiment of the present invention includes an alarm 10 installed in a space of a building and a CCTV 40 and a communication network 140 , a service control server 130 , and a first user device 151 and a second user device 153 . Here, the first user device 151 means a device of a user who directly discovers the occurrence of a fire, and the second user device 153 is defined as a device of a user who has received the fire occurrence situation from the first user device 151 . can be In some embodiments, the image providing system 100 for the location of the fire place and firefighting equipment in the building may further include a firefighting facility 101 . Here, the firefighting facility 101 may include various devices for entering a fire, such as a fire hydrant and a fire extinguisher.

In the communication network 140, the alarm 10, the CCTV 40, the communication network 140, the service control server 130, and the first user device 151 and the second user device 153 communicate with each other. As a possible communication network, it can be configured regardless of communication mode, and includes a personal area network (PAN), a local area network (LAN), a metropolitan area network (MAN), and a wide area. It may be composed of various communication networks, such as a wide area network (WAN). In addition, the communication network 140 may be a known World Wide Web (WWW), and may use a wireless transmission technology used for short-range communication such as infrared (IrDA) or Bluetooth (Bluetooth). have. Since the communication network 140 is widely known to those skilled in the art, a detailed description thereof will be omitted.

The first and second user devices 151 and 153 are carried by members of a large-scale factory or a large-scale industrial facility composed of several compartments, and are driven according to the user operation execution of the first discoverer in the event of a fire, resulting in a fire situation It is a configuration of a user terminal that propagates information and enables each member to share information about the propagated fire situation. The first and second user devices 151 and 153 may be configured as a smart device including a smart phone that is loaded with and executed a program for reporting and sharing a fire through radio waves. Here, the smart device can be understood as any type of portable terminal that can be used in the state of downloading and activating a program for reporting fire occurrence and sharing fire occurrence through radio waves.

That is, a mobile terminal is a wireless communication device that guarantees portability and mobility, and includes a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC), a Personal Handyphone System (PHS), and a Personal Digital (PDA). Assistant), International Mobile Telecommunication (IMT)-2000, Code Division Multiple Access (CDMA)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) terminals, etc. ) based wireless communication device. In addition, it may be a smart device such as a smart phone, a smart note, a tablet PC, a smart camera, and a wearable computer.

In addition, the first and second user devices 151 and 153 include a first user device 151 for fire propagation in which each member working in a large-scale industrial facility first discovers and propagates a fire occurring in a specific industrial site, It may be divided into a plurality of fire sharing second user devices 153 that receive and share the propagated fire occurrence. In other words, anyone who uses a user device to share fire occurrence through fire report and propagation can be a fire outbreak report spreader or a sharer who shares fire occurrence.

In addition, the first and second user devices 151 and 153 operate the emergency button 121 with one touch as shown in FIG. 3 so that the user who first discovered the fire can easily spread the fact that the fire occurred. It is programmed to do so. Such a program may be implemented as an application that can be easily downloaded. That is, the fire occurrence first discoverer can spread the fire only with a one-touch operation of long-pressing the emergency button EB provided through the user device by touching it.

In addition, the first user device 151 may further include a function in which the first discoverer of the fire continuously spreads the initial fire scene to the owner of the second user device 153 using video recording and voice functions.

In some embodiments, the service control server 130 works with the first and second user devices 151 and 153, the firefighting facility 101, the alarm 10, and the CCTV 40 in a wireless communication method, and the first discovery A map including location information of fire occurrence location information and firefighting facility 101 based on location information of the user device 110 of the first discoverer of a fire to receive fire occurrence situation information of the person and enable an initial response to the corresponding fire occurrence. It may be a configuration of a server that provides information. In addition, the service control server 130 receives the fire occurrence situation information of the CCTV 40 to enable an initial response to a fire corresponding thereto. Map information including the location information of the location of the fire and the location of the firefighting facility 101 . It may be the configuration of the server that provides

As shown in FIG. 2 , the service control server 130 includes a map information storage management unit 131 , a member contact management unit 132 , a text service management unit 133 , an integrated management unit 134 , and an alarm/CCTV It can be configured to include the management unit (50). Here, the service control server 130 may further include a firefighting management function for managing the firefighting facility 101 and fire monitoring equipment of a large-scale factory or large-scale industrial facility composed of several compartments.

The map information storage management unit 131 of the service control server 130 is configured to store and manage a drawing map of each region of a large-scale factory or a large-scale industrial facility composed of several compartments. The map information storage management unit 131 stores and manages a drawing map of a building for each region of a large-scale factory or a large-scale industrial facility composed of several compartments, but the drawing map of the building includes a fire extinguisher and a fire hydrant adjacent to the location of the fire site. The location of the fire-fighting facility 101 may be further displayed to be provided. Here, the map information storage management unit 131 provides the location of the fire-fighting facility 101 together through a drawing map of each region of a large-scale factory or a large-scale industrial facility composed of several compartments, and the location of the fire-fighting facility 101 . In case of change or change of building extension or remodeling, the corresponding change may be updated on the drawing map so that it can be updated.

In addition, the member contact management unit 132 of the service control server 130 is a configuration that serves to store and manage contact information of each member of a large-scale industrial facility. The member contact manager 132 may register and manage the phone numbers of the smart phones of members working in large-scale industrial facilities, that is, in a specific area.

In addition, the text service management unit 133 of the service control server 130 sends a fire alarm notification message to each member registered and managed in the member contact management unit 132 in response to the fire propagation of the user who first discovered the fire. It can be provided in a literal way. The text service management unit 133 is configured to provide information about the location of the fire location and firefighting facilities when a fire occurs between users including a first user device 151 for fire propagation and a plurality of second user devices 151 for sharing fire. It can be provided as a disaster text message with location and video sharing.

In addition, the integrated management unit 134 of the service control server 130 controls and manages the map information storage management unit 131 , the member contact management unit 132 , and the text service management unit 133 as a whole, and performs fire monitoring monitoring and fire occurrence area sites. It is a configuration of integrated management control that enables the initial response of The integrated management unit 134 may include a function of further requesting an emergency dispatch service to a related organization including a local fire station when a fire occurs in the user device 110 .

Referring to FIG. 3 , when the emergency button EB provided through the first user device 151 is touched to notify the fact that a fire has occurred, the second user devices 151 may immediately receive and share the fire situation information. be able to In this way, each member of a large-scale industrial facility can quickly move to the point of occurrence of a fire so that an initial response to the fire is possible.

In some embodiments, the firefighting facility 101 may include a fire extinguisher and a location notification cradle. The location notification cradle may include a main body on which the fire extinguisher can be mounted and a notification unit built into the main body. The notification unit may include a first notification unit for determining whether the fire extinguisher is mounted or not, and a second notification unit for notifying the location of the fire extinguisher when a fire occurs. The second notification unit is to notify the location of the fire extinguisher through light and/or sound when the emergency button EB provided through the first user device 151 is touched to notify the fact that a fire has occurred. The light source unit outputs light when a fire occurs. And it may include a sound output unit for outputting a sound when a fire occurs.

In addition, the members who first discovered the fire and the members who come to help with the initial fire suppression can quickly check the location of the firefighting facility and the location of the fire, which are provided as map information.

Furthermore, when the fire is propagated from the first user device 151 for fire propagation used by the member who first discovered the fire, the remaining members receive the location and location of the fire location through the second user device 153 for sharing the fire. The location of the firefighting facility 101 may be shared, and the service control server 130 may also request an emergency dispatch service to related organizations including the fire department to enable a rapid initial response of fire suppression.

The image providing system 100 for the location of a fire place and firefighting equipment in a building according to an embodiment detects a fire occurrence point that members do not detect in a large-scale industrial facility site through the alarm 10 and the CCTV 40 When the alarm 10 or CCTV 40 detects a fire, the location of the fire and the location of the adjacent firefighting facility 101 may be transmitted to the user devices 151 and 153 .

In some embodiments, the alarm 10 may be installed in each space of the building. For example, in the case of a building having a plurality of floors, at least one alarm 10 may be installed on each floor, and at least one alarm 10 may be installed at various positions on each floor. At least one alarm 10 may be installed on the ceiling of each floor. However, the present invention is not limited thereto and may be installed on the side of each floor.

In some embodiments, the alarm 10 may include a body part BP, a speaker part SPP disposed on a lower surface of the body part BP, and a cover part CV surrounding the speaker part SPP. .

In some embodiments, the body part BP may include a first module part MP1 and a second module part MP2. The first module part MP1 and the second module part MP2 may be embedded in the outer surface of the body part BP. Also, the first module part MP1 and the second module part MP2 may be disposed to be spaced apart from each other. In some embodiments, an additional module unit may be further included in addition to the first module unit MP1 and the second module unit MP2.

In some embodiments, the first module unit MP1 may include a first sensor unit SP1 , a first light emitting unit LP1 , a second sensor unit SP2 , and a second light emitting unit LP2 . The first sensor unit SP1 , the first light emitting unit LP1 , the second sensor unit SP2 , and the second light emitting unit LP2 may be sequentially disposed in the first direction. The widths of the first sensor unit SP1 , the first light emitting unit LP1 , the second sensor unit SP2 , and the second light emitting unit LP2 in the first direction may all be the same.

Each of the first sensor unit SP and the second sensor unit SP2 may include at least one of a smoke sensor, a heat sensor, and a humidity sensor.

The smoke sensor is a sensor for detecting whether smoke is generated, and it is possible to determine whether or not smoke is generated by detecting a change in transmittance of light generated due to the smoke. For example, the smoke sensor may include a light emitting element and a light receiving element, and detect a change in transmittance of light by detecting light emitted from the light emitting element through the light receiving element. However, the method of the smoke sensor detecting smoke is not limited thereto.

A thermal sensor detects external heat and detects whether the ambient temperature is rising due to a fire.

The humidity sensor detects the current humidity (eg, relative humidity) and the amount of change in humidity.

The first light emitting unit LP1 and the second light emitting unit LP2 output a warning light source when a fire occurs. It may be detected by the sensor unit SP2, and whether a fire has occurred may be transmitted by the alarm/CCTV management unit 50 .

Since the configuration of the second module part MP2 is the same as that of the first module part MP1, a redundant description thereof will be omitted.

The speaker unit SPP is a place to output a warning sound when a fire occurs, and whether a fire occurs may be detected by the first sensor unit SP1 and the second sensor unit SP2 of the alarm 10 , , whether a fire has occurred may be transmitted by the alarm/CCTV management unit 50 . In addition, whether a fire has occurred may be transmitted by the user device 151 .

The cover part CV has a rim shape disposed on the lower surface of the body part BP, and may be disposed to surround the outside of the speaker part SPP. The cover part CV may include a first part P1 and a second part P2 , and a plurality of the first parts P1 and the second parts P2 may be alternately disposed in the first direction. . The first portion P1 may be formed of a phase change material such as tedradecane, octadecane, nonadecane, calcium chloride, or the like. The second part P2 may be made of a metal material. An extension length of the second portion P2 in the first direction may be longer than an extension length of the first portion P1 . Also, the area of the second part P2 may be larger than that of the first part P1 .

In some embodiments, the alarm 10 may further include a power module, an extension terminal module, and a communication module control circuit.

The power module may include a built-in battery and an external power adapter.

The extension terminal module may include an external extension terminal and an external output terminal. The alarm 10 may exchange data with other external devices through the extension terminal module by wire or wirelessly.

The external extension terminal is a module for receiving information from other external components (such as a first sensor module and a second sensor module disposed in the CCTV).

The external output terminal is a module for outputting a relay signal for controlling other external devices, and specifically, the relay signal may be transmitted to other devices in a wired manner. Accordingly, even devices without a separate wireless communication module may be controlled by receiving a relay signal from the user through the alarm 10 .

The communication module may be a module for communicating with the alarm/CCTV management unit 50 in a wireless manner. The communication module may be a module using a frequency of about 900 MHz, Wi-Fi, or Bluetooth. However, the present invention is not limited thereto, and a module that allows the alarm 10 to communicate with the alarm/CCTV management unit 50 wirelessly is sufficient.

At least one CCTV 40 may be installed in each space of the building. For example, in the case of a building composed of a plurality of floors, at least one CCTV 40 may be installed on each floor, and at least one CCTV 40 may be installed at various locations on each floor. At least one CCTV 40 may be installed on the ceiling of each floor. However, the present invention is not limited thereto and may be installed on the side of each floor.

At least one CCTV (40) is connected to a fixed part (FP) for fixing the CCTV (40) in contact with a wall, an extension part (PP) connected to the fixing part (FP), an extension part (PP) and an inner housing part It may include an outer housing part 43 capable of accommodating 44 , an inner housing part 44 accommodated in the outer housing part 43 , and including a photographing unit 41 and an auxiliary photographing unit 42 . .

In some embodiments, the fixing unit FP may be fixed to a wall or the like for fixing the CCTV 40 . The fixing part FP may be made of a metal material and an air passage may be formed therein.

In some embodiments, the buffer material M1 may be filled in the air passage of the fixing part FP. As the buffer material M1, various materials such as silicone, rubber, and sponge may be used, and the present invention is not limited to the material prepared above, and various materials for shock absorption may be provided. In this way, when the buffer material M1 is disposed in the air passage of the fixing part FP, even if an impact is transmitted to a building such as an earthquake, vibration or shock transmitted to the fixing part FP may be attenuated.

In some embodiments, the air passage of the fixing part FP may be filled with the phase change material M2. Such a phase change material M2 can prevent deformation of the fixing part FP according to a change in temperature, and can even obtain an effect of thermal insulation by blocking heat. The phase change material M2 includes tedradecane, octadecane, nonadecane, calcium chloride, and the like, and may be filled in the air passage using other materials according to the user's needs.

In some embodiments, a plurality of air passages of the fixing part FP may be disposed, and the phase change material M2 and the buffer material M1 may be alternately filled in the plurality of air passages. For example, the fixing part FP may include a plurality of first fixing part air passages and second fixing part air passages, the inside of the first fixing part air passages being filled with silicon, and the second fixing part air passages being filled with silicon. The inside of the furnace is filled with tedradecane, and the first fixing part air passage and the second fixing part air passage may be alternately arranged.

In some embodiments, the air passage of the fixing part FP may have a cylindrical shape, and may have a diameter of 0.05 cm to 0.4 cm.

In some embodiments. The extension part PP connects the fixing part FP and the external housing part 43, but may be configured to have a variable length. For example, the length of the extension part PP is increased in order to more precisely capture the timing of a fire, so that the outer housing part 43 may be detachably moved from the fixing part FP. In addition, the length of the extension part PP may be reduced, so that the housing part 43 may be attached to the fixing part FP. The extended length of the extension part PP may be 20 cm to 50 cm for stability of coupling between the external housing part 43 and the fixing part FP. In some embodiments, the extension part PP may have a foldable structure, but is not limited thereto, and may have various configurations such as an elastic member having a variable length, a solenoid, and the like. In addition, a motor may be disposed in the outer housing part 43 to vary the length of the extension part PP.

In some embodiments, the outer housing part 43 may be made of a metal material and an air passage may be formed therein.

In some embodiments, the air passage of the outer housing part 43 may be filled with a buffer material M1. As the buffer material M1, various materials such as silicone, rubber, and sponge may be used, and the present invention is not limited to the material prepared above, and various materials for shock absorption may be provided. In this way, when the buffer material M1 is disposed in the air passage of the external housing part 43 , even when an impact is transmitted to a building such as an earthquake, vibration or shock transmitted to the external housing part 43 can be attenuated.

In some embodiments, the air passage of the outer housing part 43 may be filled with the phase change material M2. Such a phase change material M2 can prevent deformation of the fixing part FP according to a change in temperature, and can even obtain an effect of thermal insulation by blocking heat. The phase change material M2 includes tedradecane, octadecane, nonadecane, calcium chloride, and the like, and may be filled in the air passage using other materials according to the user's needs.

In some embodiments, a plurality of air passages of the outer housing part 43 may be disposed, and the phase change material M2 and the buffer material M1 may be alternately filled in the plurality of air passages. For example, the outer housing part 43 is made of a metal material, and includes a plurality of first external housing part air passages and a second external housing part air passageway therein. is filled, and tedradecane may be filled in the air passage of the second external housing unit.

In some embodiments, the air passage of the outer housing part 43 may have a cylindrical shape, and may have a diameter of 0.1 cm to 0.8 cm.

In some embodiments, the outer housing part 43 may have a circular rim shape, and the inner housing part 44 may be disposed inside the outer housing part 43 .

In some embodiments, a first sensor module SM1 and a second sensor module SM2 may be disposed on a lower surface of the outer housing part 43 . The first sensor module SM1 may include a thermal sensor, and , the second sensor module (SM2) is a sensor for detecting the location of a person in a building, and a voice recognition sensor that recognizes urgent voice frequencies such as screams and shouts by embedding an Arduino voice recognition module, and people in the building It may include a GPS sensor for obtaining current location information by analyzing a GPS signal generated from a smart device of

In some embodiments, an outer surface of each of the first sensor module SM1 and the second sensor module SM2 may be surrounded by a heat conduction blocking layer HBL. Here, the heat conduction blocking film (HBL) may be a composition in which glass fire, phenol resin, and calcium carbonate are mixed. For example, the heat conduction blocking film (HBL) may include 75 wt% of glass fiber, 17 wt% of a phenolic resin, and 8 wt% of calcium carbonate, and the thickness of the heat conduction barrier film (HBL) may be 0.1 cm to 0.3 cm. . The heat conduction blocking layer may include a plurality of holes, and the diameters of the holes may be 0.01 cm to 0.03 cm. Such a hole in the heat conduction shield prevents the functions of the first sensor module SM1 and the second sensor module SM2 from being deteriorated by the heat conduction shield.

In some embodiments, the inner housing 44 may include a photographing unit 41 and an auxiliary photographing unit 42 . Here, each of the photographing unit 41 and the auxiliary photographing unit 42 includes a camera unit, and the angle of the photographing unit 41 may be adjusted in the vertical direction. In addition, the inner housing unit 44 can rotate 360 degrees to the left or right, and accordingly, the photographing unit 41 and the auxiliary photographing unit 42 disposed in the inner housing can also rotate 360 degrees to the left or right. This can effectively reduce blind spots. The auxiliary photographing unit 42 supplements the blind spot of the photographing unit 41 and may be located at 45 degrees to the right of the photographing unit 41 . In addition, the auxiliary photographing unit 42 makes it possible to photograph a wider range of images in case of fire. In some embodiments, a plurality of auxiliary photographing units 42 may be disposed. For example, the auxiliary photographing unit 42 may be located at various positions such as 45 degrees to the right, 90 degrees to the right, and 180 degrees to the right of the photographing unit 41 . This is to prepare for a case where an error occurs in the rotation of the inner housing part 44 due to the occurrence of a fire.

The inner housing portion 44 is protected by the cover portion 45 , and the cover portion 45 may be coupled to the outer housing portion 43 while covering the inner housing portion 44 .

The at least one alarm 10 and the at least one CCTV 40 may communicate with the alarm/CCTV management unit 50 through a network such as the communication network 140 .

At least one CCTV 40 may determine whether fire or smoke is detected by image processing the captured image. Such a process may be performed through an image processing unit (not shown) provided in the at least one CCTV 40 . As an example, the at least one CCTV 40 may analyze the captured image in real time by using OpenCV (Open Source Computer Vision), which is a library for real-time image processing.

In some embodiments, the at least one CCTV 40 detects at least one of flames and smoke through real-time image processing in the captured image, and transmits the captured image to the alarm/CCTV management unit 50 using the communication network 140 . and the first and second user devices 151 and 153 .

As an example, at least one CCTV 40 detects at least one of flame and smoke in the captured image, in real time to the alarm/CCTV management unit 50 and the first and second user devices 151 and 153 every predetermined frame. Images can be sent.

The alarm/CCTV management unit 50 may receive a captured image from at least one CCTV 40 . That at least one CCTV 40 transmits a real-time image to the alarm/CCTV management unit 50 means that flame or smoke is primarily detected in the real-time image. The alarm/CCTV management unit 50 may re-determine whether the image transmitted from the at least one CCTV 40 is a fire using deep learning-based artificial intelligence. In addition, the owner of the first and second user devices 151 and 153 may use at least one CCTV 40 to identify a fire location in order to determine whether the captured image is a fire. At this time, the at least one CCTV 40 may transmit information on the location of the captured image and the location of the firefighting facility 101 to the first and second user devices 151 and 153 .

The alarm/CCTV management unit 50 determines that a fire has occurred as a result of determining whether a fire has occurred using deep learning-based artificial intelligence, the first and second user devices 151 and 153 and the firefighting facility 101 Fire alerts can be sent.

The alarm/CCTV manager 50 may guide an evacuation route when receiving fire situation confirmation information from the first and second user devices 151 and 153 that have received the fire notification. Furthermore, the alarm/CCTV management unit 50 may guide the evacuation route according to the location of the fire and the congestion rate analyzed from the image captured by the at least one CCTV 40 .

The alarm/CCTV management unit 50 may transmit a fire notification to the microcontroller of the CCTV 40 if it is determined that a fire has occurred as a result of determining whether a fire has occurred using deep learning-based artificial intelligence. The microcontroller of the CCTV 40 that has received the fire notification from the alarm/CCTV management unit 50 may operate the first sensor module SM1 and the second sensor module SM2, and the first sensor module SM1 The second sensor module SM2 detects the location of a person in the building while controlling the photographing unit 41 and the auxiliary photographing unit 42 by detecting the direction in which the fire occurred, and the photographing unit 41 and the auxiliary photographing unit (42) can be controlled. The location of the fire, the presence or absence of people in the building, and location information obtained through the control of the photographing unit 41 and the auxiliary photographing unit 42 are transmitted to the alarm/CCTV management unit 50, and the alarm/CCTV management unit 50 can be transmitted to the first and second user devices (151, 153) and the firefighting facility (101).

When the alarm/CCTV management unit 50 receives fire false detection information from the first and second user devices 151 and 153 that have received the fire notification, it recognizes that the fire determination is incorrect and feeds back to deep learning-based artificial intelligence. can do. Here, the false fire detection information is information that is transmitted to the alarm/CCTV management unit 50 after receiving the fire notification through the first and second user devices 151 and 153 and checking if it is not a fire as a result of directly checking it. can be

When the alarm/CCTV management unit 50 does not receive fire situation confirmation information or fire false detection information within a predetermined time from the first and second user devices 151 and 153 that have received the fire notification, it automatically selects an evacuation route. can guide you In other words, if the manager is absent or fails to check the fire notification, the evacuation route guidance cannot be delayed. can guide you.

Alarm/CCTV management unit 50 If it is determined that a fire has occurred as a result of determining whether a fire has occurred using deep learning-based artificial intelligence, a fire notification can be transmitted to the alarm 10, and the alarm 10 is a light emitting unit control signal The first light emitting unit LP1 and the second light emitting unit LP2 may be operated to output a warning light source. In addition, the alarm 10 may output a warning sound by operating the speaker unit SPP through the speaker control signal.

In addition, when it is determined that a fire has occurred as a result of determining whether a fire has occurred using the deep learning-based artificial intelligence of the alarm/CCTV management unit 50, it can be transmitted to the fire fighting facility 101, and the location notification cradle of the fire fighting facility 101 checks whether the fire extinguisher is mounted, and when it is determined that the fire extinguisher is mounted, operates a light source unit for outputting light and a sound output unit for outputting sound to inform the location of the fire extinguisher.

Referring to FIG. 6 , the alarm/CCTV management unit 50 using AI based on image processing and deep learning according to an embodiment of the present invention includes a communication unit 51 , a fire determination unit 52 , and a fire notification unit 53 . ), an evacuation route guide unit 54 , a person presence determination unit 55 in the building, a person location notification unit 56 , and a database unit 57 .

The communication unit 51 may receive a captured image from at least one alarm 10 and at least one CCTV 40 installed in each space of a building. In addition, the communication unit 51 may transmit the fire notification received from the fire notification unit 53 to the first and second user devices 151 and 153 , and transmitted from the first and second user devices 151 and 153 . The fire situation confirmation information and fire false detection information may be transmitted to the fire determination unit 52 and the evacuation route guide unit 54 . The server communication unit 51 may communicate with at least one alarm 10 , at least one CCTV 40 , and the first and second user devices 151 and 153 through the communication network 30 , and various wired and wireless communication methods. It can be implemented as a communication module supporting

In addition, the communication unit 51 may receive the location of the fire, the presence of a person in the building, and location information from at least one CCTV 40 . The communication unit 51 may transmit information received from the person presence determination unit 55 and the person location notification unit 56 in the building to the first and second user devices 151 and 153 .

The fire determination unit 52 may receive a real-time image in which flame or smoke is primarily detected from at least one CCTV 40, and use the image transmitted from at least one CCTV 40 to perform deep learning-based artificial intelligence. It can be used to judge whether there is a fire or not.

On the other hand, according to an embodiment, the fire determination unit 52 first determines whether fire or smoke is detected by image processing the photographed image, and when it is determined that fire or smoke is detected as a result of the first determination, the It is possible to secondarily determine whether a fire exists using the captured video using deep learning-based artificial intelligence. In this case, at least one CCTV 40 may transmit images captured at regular frame intervals to the alarm/CCTV management unit 50 without performing real-time image processing for detecting flames or smoke in the captured image. That is, according to the embodiment, the primary determination of detecting flame or smoke in the captured image may be performed by at least one CCTV 40 or performed by the fire determination unit 52 of the alarm/CCTV management unit 50 . You may.

The deep learning-based artificial intelligence performed by the fire determination unit 52 may operate in the following way.

The image information captured by at least one CCTV 40 installed in the building may be transmitted to the alarm/CCTV management unit 50, and the alarm/CCTV management unit 50 stores the received CCTV image in the database unit 57. can

In this way, the normal CCTV image accumulated in the database unit 57 may be a standard data value. The normal CCTV images may be classified and stored according to each of at least one CCTV 40 .

When fire or smoke is detected in the image captured by at least one CCTV 40 according to the result of the first real-time image processing, the fire determination unit 52 performs the deep learning-based artificial intelligence through the previously learned data. It can be determined once more whether the object of the captured image is definitely fire or smoke. As an example, TensorFlow may be used as the deep learning-based artificial intelligence engine, and an Inception v3 model may be used. To achieve the goal of early fire detection, supervised learning, which is a method of learning a machine learning model using training data that knows the correct answer, can be used, and the structure, weight, parameter, and data set of the artificial intelligence model can be set in various ways. can The image transmitted from at least one CCTV 40 may be stored in the database unit 57 for each predetermined frame, and learning may be performed by various source codes.

The fire determination unit 52 compares the CCTV image, which is primarily determined to have detected fire or smoke, with the ordinary CCTV image accumulated in the database unit 57, so that the similarity with the ordinary CCTV image is significantly different. In this case, it can be considered a fire. As an example, if the similarity between the CCTV image, which is primarily determined to have detected fire or smoke, and the usual CCTV image, is more than 90%, the primary determination result is judged to be malfunctioning, and feedback is given and a fire notification may not be generated. have. In addition, when the similarity between the CCTV image, which is primarily determined to have detected fire or smoke, and the ordinary CCTV image, is less than 90%, it is determined that the fire is a fire and the fire evacuation system can be operated. That is, the fire determination unit 52 may set a predetermined similarity reference value, and compare the similarity between the CCTV image determined primarily that fire or smoke is detected and the usual CCTV image with the similarity reference value to determine the primary fire. You can judge whether the results are correct or not. The predetermined similarity reference value may be variously changed according to each building, each zone, and each CCTV 40 .

Since the fire determination unit 52 uses deep learning-based artificial intelligence, the usual CCTV images of at least one CCTV 40 are continuously accumulated in the database unit 57 so that a lot of training data is provided and the fire determination is made continuously. It has the effect of increasing the accuracy of fire judgment. Therefore, the more the deep learning-based artificial intelligence of the fire determination unit 52 learns, the higher the accuracy and reliability of the recognition of the fire situation in the building, so in the end, an unmanned early fire detection without a separate manager and evacuation route guidance may be possible.

Meanwhile, according to an embodiment, the deep learning-based artificial intelligence performed by the fire determination unit 52 may operate as a method of learning a flame or smoke image. That is, the database unit 57 can store a large amount of flame images and smoke images, and the deep learning-based artificial intelligence of the fire determination unit 52 uses the flame images and smoke images stored in the database unit 57 . It can improve the ability to recognize flames and smoke. The fire determination unit 52 may secondarily determine whether flames or smoke exist in the CCTV image by analyzing the CCTV image, which is primarily determined to have detected fire or smoke, according to deep learning-based artificial intelligence. have.

When the fire determination unit 52 finally determines that a fire has occurred, the fire notification unit 53 may transmit a fire notification to the first and second user devices 151 and 153 through the communication unit 51 . The fire notification may be transmitted to the first and second user devices 151 and 153 in the form of a text message or a push message, etc. It may be transmitted to the second user devices 151 and 153 . In addition, the fire notification unit 53 may transmit a fire notification to the microcontroller of the CCTV 40 through the communication unit 51 when the fire determination unit 52 finally determines that a fire has occurred, and the CCTV 40 The microcontroller of can operate the first sensor module SM1 and the second sensor module SM2. The first sensor module SM1 detects the direction in which the fire occurred and controls the photographing unit 41 and the auxiliary photographing unit 42 , while the second sensor module SM2 detects the location of a person in the building and shoots it It is possible to control the unit 41 and the auxiliary photographing unit 42 .

The evacuation route guide unit 54 may guide the evacuation route according to the location of the fire and the congestion rate analyzed from the image captured by the at least one CCTV 40 . The congestion rate can be calculated according to how densely people are and the ease of movement by analyzing CCTV images.

The evacuation route guide unit 54 may guide the evacuation route when receiving fire situation confirmation information from the first and second user devices 151 and 153 that have received the fire notification.

If the evacuation route guide unit 54 does not receive fire situation confirmation information or fire false detection information within a predetermined time from the first and second user devices 151 and 153 that have received the fire notification, the evacuation route guide unit 54 automatically sets the evacuation route. can guide you. That is, if the notification cannot be confirmed due to the absence of an administrator, etc., the evacuation route guide unit 54 may automatically guide the evacuation route after a specific time.

The fire determination unit 52 recognizes that the fire determination by the fire determination unit 52 is incorrect when receiving false fire detection information from the first and second user devices 151 and 153 that have received the fire notification. The deep learning-based AI may be fed back. The deep learning-based artificial intelligence of the fire determination unit 52 may recognize that the CCTV image from which the false fire detection information was received was not a fire, learn anew, and reflect it in the next fire determination.

According to an embodiment, in a state in which there is no response from the first and second user devices 151 and 153 that have received the fire notification, the congestion degree of the fire suspicious area increases or the movement speed of people in the fire suspicious area is faster than the normal speed. In this case, the fire determination unit 52 may determine that a fire has occurred and guide the evacuation route through the evacuation route guide unit 54 . That is, the fire determination unit 52 analyzes the video taken from the CCTV in the suspected fire area, and when it detects a phenomenon in which congestion increases or the movement speed of people increases due to a large number of people in the area, a fire has occurred and is urgent. It can judge the situation and guide the evacuation route. That is, the fire determination unit 52 according to an embodiment of the present invention may guide the evacuation route by analyzing the congestion level and the movement speed of people in the suspected fire area analyzed through CCTV.

The presence/absence determining unit 55 in the building may receive a real-time image detected from at least one CCTV 40 , and use the image transmitted from at least one CCTV 40 to construct a building using deep learning-based artificial intelligence. I can judge whether I am a person or not. For example, it is estimated that there is a person through a voice recognition sensor that recognizes urgent voice frequencies such as screams and shouts, and a GPS sensor that acquires current location information by analyzing GPS signals generated from people's smart devices in buildings. It is possible to receive the CCTV (40) image of the place, and judge the presence or absence of a person in the building using the image based on deep learning artificial intelligence.

On the other hand, according to the embodiment, the person presence determination unit 55 in the building first determines whether there is a person by image processing the captured image, and when it is determined that a person in the building is detected as a result of the first determination, The position of a person may be secondarily determined by using the artificial intelligence based on deep learning on the captured image. In this case, at least one CCTV 40 may transmit the captured image at regular frame intervals to the alarm/CCTV management unit 50 without performing real-time image processing for detecting a person in the captured image. That is, according to the embodiment, the first determination of detecting a person in the photographed image may be performed in at least one CCTV 40 , or in the presence or absence determination unit 55 in the building of the alarm/CCTV management unit 50 . can also be done

The deep learning-based artificial intelligence performed by the person presence determination unit 55 in the building may operate in the following way.

The CCTV 40 that has received the fire notification from the alarm/CCTV management unit 50 operates the first sensor module SM1 and the second sensor module SM2 to detect the location of the fire and the presence of people in the building, and shoot The unit 41 and the auxiliary photographing unit 42 may be controlled to photograph the detected position. Image information captured by at least one CCTV 40 installed in a building may be transmitted to the alarm/CCTV management unit 50, and the alarm/CCTV management unit 50 stores the received CCTV image in the database unit 57. can

In this way, the normal CCTV image accumulated in the database unit 57 may be a standard data value. The normal CCTV images may be classified and stored according to each of at least one CCTV 40 .

When it is detected as a person in the image captured by at least one CCTV 40 according to the result of real-time image processing, the fire determination unit 52 performs deep learning-based artificial intelligence (AI) of the captured image through pre-learned data. It can be determined once more that the object is definitely a person. As an example, TensorFlow may be used as the deep learning-based artificial intelligence engine, and an Inception v3 model may be used. To achieve the goal of early fire detection, supervised learning, which is a method of learning a machine learning model using training data that knows the correct answer, can be used, and the structure, weight, parameter, and data set of the artificial intelligence model can be set in various ways. can The image transmitted from at least one CCTV 40 may be stored in the database unit 57 for every predetermined frame, and learning may be performed by various source codes.

The person presence determination unit 55 in the building compares the CCTV image determined to be detected as a person and the ordinary CCTV image accumulated in the database unit 57, and when the similarity with the ordinary CCTV image is significantly different It can be determined that the object is a person.

When it is determined that the object is a person, the person presence determination unit 55 in the building may calculate the location of the person. For example, the location information is calculated through the location of the CCTV 40 that has transmitted the corresponding image, and the location of the person is more precise using the GPS signal detected through the second sensor module SM2 of the CCTV 40 . can be calculated.

The person location notification unit 56, when the person presence determination unit 55 detects a person in the building and determines the location, sends the location of the person to the first and second user devices 151 and 153 through the communication unit 51 can be transmitted The person location notification may be transmitted to the first and second user devices 151 and 153 in the form of a text message or a push message, etc. and to the second user devices 151 and 153 .

The database unit 57 may store the captured images received from at least one CCTV 40 , and may also store information on user terminals owned by people in the building for evacuation route guidance.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains may be embodied in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

10: alarm
40: CCTV
101: firefighting facilities
130: service control server
140: communication network
151, 153: user device

Claims (2)

In the image providing system for the location of a fire place and fire fighting equipment in a building including a user device, a firefighting facility, an alarm, a CCTV, and a service control server,
The user device includes a first user device for fire propagation that detects and propagates a fire, and a second user device that receives and shares the fire from the first user device,
The firefighting facility includes a fire extinguisher and a location notification cradle,
The location notification cradle includes a main body on which the fire extinguisher is mounted and a notification unit built into the main body,
The notification unit includes a first notification unit for determining whether the fire extinguisher is installed, and a second notification unit including a light source unit for outputting light and a sound output unit for outputting sound when the fire occurs,
The alarm includes a body part, a speaker part disposed on a lower surface of the body part, and a cover part surrounding the speaker part,
The body part includes a first module part and a second module part spaced apart from each other, and the first module part and the second module part are embedded in an outer surface of the body part,
Each of the first module unit and the second module unit includes a first sensor unit, a first light emitting unit, a second sensor unit, and a second light emitting unit sequentially arranged in a first direction,
Each of the first sensor unit and the second sensor unit includes at least one of a smoke sensor, a heat sensor, and a humidity sensor,
The cover part includes a first part and a second part, the first part and the second part are alternately arranged in a plurality in the first direction, and the first part is made of tedradecane, the second part is made of metal,
The CCTV includes a fixing part for fixing the CCTV, an extension part connected to the fixing part, an external housing part connected to the extension part, and an inner housing part accommodated in the external housing part and including a photographing part and an auxiliary photographing part do,
The fixing part includes a plurality of first fixing part air passages and second fixing part air passages, the inside of the first fixing part air passage is filled with silicon, and the inside of the second fixing part air passage is filled with tedradecane. , the first fixing part air passage and the second fixing part air passage are alternately arranged with each other, and each of the first fixing part air passage and the second fixing part air passage has a cylindrical shape, and the first The diameter of each of the fixing part air passage and the second fixing part air passage is 0.05 cm to 0.4 cm,
The extension part connects the fixing part and the external housing part, the length of which is variable,
The outer housing part is made of a metal material, and includes a plurality of first external housing part air passages and second external housing part air passages therein, the inside of the first external housing part air passage is filled with silicon, and the second external housing part air passage is filled with silicon. The air passage of the housing part is filled with tedradecane, and each of the first external housing part air passage and the second external housing part air passage has a cylindrical shape, and the first external housing part air passage and the second external housing part The diameter of each air passage is 0.1 cm to 0.8 cm,
A first sensor module and a second sensor module are disposed on a lower surface of the outer housing part, the first sensor module includes a heat sensor, and the second sensor module includes a voice recognition sensor and GPS for recognizing a human voice frequency. It includes a GPS sensor that analyzes the signal to obtain location information,
Each of the first sensor module and the second sensor module has a heat conduction blocking film disposed on an outer surface thereof, and the heat conduction barrier film comprises 75% by weight of glass fiber, 17% by weight of phenolic resin, and 8% by weight of calcium carbonate, and the heat conduction The thickness of the blocking layer is 0.1 cm to 0.3 cm, the heat conduction blocking layer includes a plurality of holes, and the diameter of the plurality of holes is 0.01 cm to 0.03 cm,
The service control server, the first user device and the second user device, the firefighting facility, the alarm and the CCTV in a wireless communication method, and a map information storage management unit for storing and managing the drawing map of the building for each region An image providing system for the location of the fire place and firefighting equipment in the containing building.
According to claim 1,
The service control server further includes an alarm and a CCTV management unit,
The alarm and CCTV management unit,
a communication unit for receiving the captured image from the CCTV;
a fire determination unit that judges whether the captured image is a fire using deep learning-based artificial intelligence;
a fire notification unit configured to transmit a fire notification to the first user device, the second user device, and the firefighting facility through the communication unit when the fire determination unit determines that a fire has occurred;
an evacuation route guide for guiding an evacuation route when receiving fire status confirmation information from the first user device and the second user device that have received the fire notification;
a person presence determination unit in the building that analyzes the CCTV image of a place where a person is detected through the second sensor module to determine the presence or absence of a person in the building and the location of the person; and
and a person location notification unit transmitting the presence or absence of a person in the building and the location of the person to the first user device and the second user device,
The CCTV further includes a microcontroller,
When the first sensor module detects heat exceeding a set value, the first sensor module transmits a first control signal for moving the photographing unit in a direction in which heat exceeding the set value is detected to the microcontroller,
When a person is detected, the second sensor module transmits a second control signal for moving the photographing unit in a direction in which the person is detected to the microcontroller,
Upon receiving the fire notification, the fire-fighting facility checks whether the fire extinguisher is mounted, and when it is determined that the fire extinguisher is mounted, operates the light source unit and the sound output unit to notify the location of the fire extinguisher and a fire place in a building. An image providing system for the location of the device.

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