KR20230056997A - Non-fire alarm management system and method using artificial intelligence - Google Patents

Abstract

The present invention may include: a fire signal receiver which receives a fire report to a fire report control center; a user terminal which transmits images taken around the malfunctioning fire detector to fire personnel and a non-fire warning management server, if the fire occurrence is non-fire warning; and a non-fire warning management server inferring the cause of the non-fire warning by analyzing a video taken of an area where the malfunctioning fire detector was installed when the fire occurrence is non-fire warning, and providing consulting information on the cause of the non-fire warning and improvement methods to the fire personnel or firefighters.

Description

Non-fire alarm management system and method using artificial intelligence

The present invention relates to a non-fire alarm management system and method using artificial intelligence. It relates to a non-fire alarm management system and method using artificial intelligence that can prevent the recurrence of a non-fire alarm by providing consulting information on the cause and improvement method of a fire alarm to a fire manager or firefighter.

In recent years, the form of buildings has become high-rise, underground, and large-scale due to land efficiency improvement and landmark tendencies, and these trends are becoming trends in buildings not only in Korea but also worldwide. In addition, it is developing into a multiplex-type complex where commercial facilities for various purposes such as theaters, restaurants, shopping centers, karaoke rooms, and pubs coexist.

However, due to the increase of high-rise, underground, and large-scale buildings and the increase in commercial facilities in buildings, the number of internal divisions and the use of various interior materials such as colorful interiors increase the scale of human and property damage in the event of a fire that is unimaginable. .

On the other hand, the fire alarm is a device that detects the smoke caused by the fire when a fire occurs, and informs the fire situation. A fire alarm has a high possibility of causing a malfunction, and a malfunction of such a fire detector is called a non-fire alarm.

Specifically, non-fire warning means that a fire alarm is issued by operating a fire detection device by a factor other than heat, smoke, and flame caused by a fire. That is, it refers to falsely detecting a fire due to a cause other than a fire in a state in which the fire detection device operates normally.

If the smoke alarm continuously malfunctions due to the above factors, users may lose trust in the smoke alarm and turn off the power of the smoke alarm normally. In this case, users may be exposed to the risk of fire even when a fire actually occurs in a building in which a fire alarm is installed.

Republic of Korea Patent Registration No. 10-2054935 (hereinafter, the prior art) discloses a technology related to an IoT communication-based fire detection device for preventing non-fire alarms. However, since such prior art additionally installs a sensor for detecting non-fire, it is difficult to solve the fundamental cause of non-fire alarm due to the installation environment of the fire detector.

Republic of Korea Patent Registration No. 1-2054935 (2019.12.05)

The problem to be solved by the present invention is to infer the cause of the non-fire alarm by analyzing the video of the area where the fire detector is installed, and to provide consulting information on the cause and improvement method of the non-fire alarm to the person in charge of the fire or the firefighter so that the non-fire alarm reoccurs. To provide a non-fire alarm management system and method using artificial intelligence that can prevent

In the non-fire alarm cause analysis system according to the first aspect of the present invention, when a fire occurs, a fire signal is received from a fire detector that detects a fire among a plurality of fire detectors installed in a building, and the fire signal is received by the fire report control center. A user terminal that is possessed by at least one user among a signal receiver, a fire manager, and a firefighter, and transmits an image taken around a malfunctioning fire detector to a non-fire alarm management server when the occurrence of a fire is non-fire, and a fire alarm from the fire signal receiver When a report is received, the report phone number, fire occurrence address, and report time are stored in the fire information DB, and when a non-fire report is input from the user terminal, the fire information DB is updated by specifying the non-fire report for the case for which the fire report was received. a reception module that transmits a message notifying the occurrence of a fire to the user terminal; and a notification module that receives a captured image around the malfunctioning fire detector from the user terminal and analyzes the captured image to analyze the fire detector and the object(s) around the fire detector. ) is extracted and recognized as an object, and an analysis module that infers the cause of non-fire alarm occurrence by comparing the recognized detector and surrounding object (s) with a pre-built non-fire alarm cause DB, and the inferred cause and improvement plan are included. A non-fire alarm management server including a consulting module providing recurrence prevention consulting information to the user terminal may be included.

The analysis module compares the fire detector object with a pre-built fire detector DB to determine at least one of a manufacturer and a manufacturing model, and a fire detector manufactured by the same manufacturer as the fire detector or a non-fire alarm report is generated in the same manufacturing model. The number of cases is identified, and the consulting module recommends the installation of a fire detector of a different manufacturer or a different model if a fire detector manufactured by the same manufacturer as the fire detector or the number of non-fire alarm reports in the same model exceeds the standard value. The recurrence prevention consulting information may be provided to the user terminal.

The analysis module compares the fire detector object with a pre-built fire detector DB to determine the detection method of the installed fire detector, and according to the light ductility of the installation environment of the fire detector through objects for objects around the fire detector. The cause of non-fire alarm occurrence is inferred, and the consulting module recommends moving the location of the object based on the installation environment or recommends installation of a fire detector of a detection method suitable for the installation environment. It can be provided to the user terminal.

The analysis module is further provided with facility information including at least one of an incineration facility installed around the fire detector, a construction site, a factory, a smoking area, and a restaurant based on a map, and further considers the facility information to determine the cause of the non-fire alarm. can be inferred.

In the non-fire alarm management method by the non-fire alarm management server of the fire report control center according to the second aspect of the present invention, when a fire report is received, the reception module stores the report phone number, fire occurrence address, and report time in the fire information DB. a notification module transmitting a message informing of the occurrence of a fire to a user terminal of at least one of a fire manager and a firefighter at the previously stored address of the fire occurrence; When the fire report is received, the receiving module specifies a non-fire alarm for the case in which the fire report is received and updates the fire information DB, and the analysis module detects a malfunction around a malfunctioning fire detector from at least one user terminal of the fire manager or firefighter. Receiving a captured image; analyzing the captured image by the analysis module to extract and recognize a fire detector and object(s) around the fire detector as objects; Inferring the cause of non-fire alarm occurrence by comparing (s) with a pre-built non-fire alarm cause DB, and a consulting module converting recurrence prevention consulting information including the inferred cause and improvement plan to at least one of the fire manager and firefighter It may include the step of providing to the user terminal of.

The analysis module compares the fire detector object with a pre-built fire detector DB to determine at least one of a manufacturer and a manufacturing model, and a fire detector manufactured by the same manufacturer as the fire detector or a non-fire alarm report is generated in the same manufacturing model. The number of cases is identified, and the consulting module recommends the installation of a fire detector of a different manufacturer or a different model if a fire detector manufactured by the same manufacturer as the fire detector or the number of non-fire alarm reports in the same model exceeds the standard value. The recurrence prevention consulting information may be provided to the user terminal.

The analysis module compares the fire detector object with a pre-built fire detector DB to determine the detection method of the installed fire detector, and according to the light ductility of the installation environment of the fire detector through objects for objects around the fire detector. The cause of non-fire alarm occurrence is inferred, and the consulting module recommends moving the location of the object based on the installation environment or recommends installation of a fire detector of a detection method suitable for the installation environment. It can be provided to the user terminal.

The analysis module is further provided with facility information including at least one of an incineration facility installed around the fire detector, a construction site, a factory, a smoking area, and a restaurant based on a map, and further considers the facility information to determine the cause of the non-fire alarm. can be inferred.

According to an embodiment of the present invention, the cause of the non-fire alarm is inferred by analyzing the image taken of the area where the fire detector is installed, and consulting information on the cause of the non-fire alarm and improvement method is provided to the person in charge of the fire or firefighters to prevent the recurrence of the non-fire alarm. It can be prevented.

1 is a schematic diagram showing a non-fire alarm management system using artificial intelligence according to a first embodiment.
2 is a block diagram showing the configuration of the non-fire alarm management server illustrated in FIG. 1;
3 is a flowchart illustrating a non-fire alarm management method using artificial intelligence according to a second embodiment.
4 is a diagram showing non-fire alarm causes and improvement measures.

Since the present invention can apply various transformations and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, it should be understood that this is not intended to limit the present invention to specific embodiments, and includes all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.

In describing the present invention, if it is determined that a detailed description of related known technologies may obscure the gist of the present invention, the detailed description will be omitted.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having meanings consistent with the meanings in the context of the related art, and unless explicitly defined in this application, they should not be interpreted in ideal or excessively formal meanings. don't

Prior to the description, when a part in the entire specification "comprises" or "includes" a certain component, this may further include other components, not excluding other components, unless otherwise stated. means there is In addition, terms such as "...unit", "...module" and "component" described in the specification mean a unit that processes at least one function or operation, which It may be implemented in hardware, software, or a combination of hardware and software.

In addition, the term "embodiment" in this specification means to serve as an illustration, example, or illustration, but the subject matter of the invention is not limited by such an example. Also, while "comprising", "comprising", "having" and other similar terms are used, when used in the claims as an open transition word that does not exclude any additional or different elements, " Used generically in a similar way to the term "comprising".

The various techniques described herein may be implemented with hardware or software, or a combination of both, where appropriate. As used herein, the terms "Unit", "System", etc. are likewise equivalent to a computer-related entity, that is, hardware, a combination of hardware and software, software, or software in execution. can handle For example, a program module may be composed of one component and equivalent or a combination of two or more components. In addition, in the present invention, both programs and hardware executed in a terminal including a transmitter and a receiver may be configured in module units and recorded in one physical memory or distributed between two or more memories and recording media. .

In addition, terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. description is omitted.

[First Embodiment]

The first embodiment is to infer the cause of non-fire alarm by analyzing an image taken of the area where the fire detector is installed, and to prevent the recurrence of the non-fire alarm by providing consulting information on the cause and improvement method of the non-fire alarm to the person in charge of the fire or firefighters. It's about technology.

Hereinafter, a non-fire alarm management system using artificial intelligence according to a first embodiment of the present invention will be described in detail with reference to the drawings.

1 is a schematic diagram illustrating a non-fire alarm management system using artificial intelligence according to a first embodiment of the present invention.

Referring to FIG. 1, when a fire occurs, the non-fire alarm management server 30 of the fire reporting control center receives a fire report from the fire signal receiver 10 installed in the building where the fire occurs, and if the fire occurrence is not reported, a fire occurs. The cause of the non-fire alarm is inferred by receiving and analyzing an image of the part where the malfunctioning fire detector 2 is installed from the user terminal 20 of a fire officer located in the building or a firefighter dispatched to extinguish the fire.

The non-fire alarm management server 30 solves the cause of the non-fire alarm occurrence by providing consulting information on the cause and improvement method of the inferred non-fire alarm to the user terminal 20 possessed by the fire person in charge and the firefighter, thereby recurring the non-fire alarm. can prevent

The fire signal receiver 10 is a device for safely evacuating by detecting whether a fire has occurred by zone and automatically sounding an indicator light and an alarm bell. It is installed in a building and is connected to a plurality of fire detectors 2 installed in each zone. The fire signal receiver 10 receives a fire signal from the fire detector 2 when the fire detector 2 detects a fire.

When the fire signal receiver 10 receives the fire signal from the fire detector 2, it transmits the fire signal to the non-fire alarm management server 30 of the fire report control center to receive a fire report.

The user terminal 20 is a terminal possessed by at least one of a fire management manager and a firefighter. Here, the person in charge of fire management may be a person in charge of managing facilities of a building or a security personnel in charge of security of a building.

The user terminal 20 may communicate with the non-fire alarm management server 30 through the Internet network and is equipped with a camera for taking pictures. The user terminal 20 may be one of a smart phone, a tablet PC, and a personal digital assistant (PDA).

FIG. 2 is a block diagram showing the configuration of the non-fire alarm management server 30 illustrated in FIG. 1 .

Referring to FIGS. 1 and 2 , the non-fire alarm management server 30 includes a reception module 310 , a notification module 320 , an analysis module 330 and a consulting module 340 .

The reception module 310 communicates with the fire signal receiver 10 installed in the building to receive a fire signal and receive a fire report. When a fire report is received, the reception module 310 receives a report phone number and a fire occurrence address from the fire signal receiver 10 and matches and stores the report (ie, reception) time in the fire information DB 311. Here, the report phone number may be a representative phone number for managing a building pre-registered in the fire signal receiver 10 or a number for a management office or an official managing the building.

The reception module 310 may receive a fire report from a person who witnessed the fire by wire. In this case, the reception module 310 may receive information such as a fire occurrence address from the person who received the fire report.

The reception module 310 may receive the location of a fire detector 2 that detects a fire among a plurality of fire detectors 2 installed in a building from the fire signal receiver 10 . For example, the location of the fire detector 2 received from the reception module 310 is at least information on the floor, number, wall or ceiling, such as “fire detector 2 installed on the ceiling of the kitchen on the 3rd floor of the building”. one is included

The receiving module 310 receives a fire report from at least one user terminal 20 among the user terminals 20 possessed by a firefighter dispatched to extinguish a fire or a fire manager managing a building in which a fire has occurred. Report (i.e. transmit) whether or not there is a fire.

The reception module 310 specifies the non-fire information for the case in which the fire report is received when a non-fire report is reported (input) from at least one user terminal 20 among the user terminals 20 possessed by the fire officer and the firefighter. Updates the fire information DB (311).

In the fire information DB (311), the location, phone number, time, manufacturer, detection method and model name of the fire detector (2) installed in the building where the non-fire alarm occurred in the past are stored, and the database for the buildings where the non-fire alarm occurred It is used for integrated management.

When a fire report is received by the reception module 310, the notification module 320 is configured to use at least one of the user terminals 20 possessed by a firefighter dispatched to extinguish a fire or a person in charge of managing a building in which a fire has occurred. to send a message notifying the occurrence of a fire. The message transmitted from the notification module 320 to the user terminal 20 includes a fire occurrence address and a specific location of the fire detector 2 that detects the fire. For example, the message transmitted from the notification module 320 to the user terminal 20 includes a specific location, such as “the fire detector 2 installed on the ceiling of a kitchen on the 3rd floor of a building”.

When a non-fire report is reported (input) from the user terminal 20, the analysis module 330 instructs the user terminal 20 to take a photographed image around the malfunctioning fire detector 2 from at least one user terminal 20 among fire officers and firefighters. Upon request, a photographed image around the malfunctioning fire detector 2 is transmitted from the user terminal 20 .

The analysis module 330 analyzes the transmitted captured image to extract and recognize the fire detector 2 and object(s) around the fire detector 2 as objects. For example, the analysis module 330 objectifies, extracts, and recognizes all objects, such as a kitchen counter, a humidifier, a candle, and a cooking appliance located around the fire detector 2 .

The analysis module 330 compares the fire detector 2 recognized as an object and the surrounding object(s) with a pre-built non-fire alarm cause DB 331 to infer a non-fire alarm occurrence cause.

The consulting module 340 provides the user terminal 20 possessed by the fire manager and the firefighter with recurrence prevention consulting information including the cause of the non-fire alarm occurrence and the improvement plan deduced by the analysis module 330 .

Hereinafter, a method in which the analysis module 330 infers the cause of non-fire alarm occurrence and consulting information provided by the consulting module 340 will be described with three examples.

As a first example in which the analysis module 330 infers the cause of the non-fire alarm, the analysis module 330 compares the fire detector 2 object with the pre-built fire detector DB 332 to detect the fire detector 2. and infer the cause of the non-fire alarm occurrence according to the correlation of the installation environment of the fire detector 2 through the objects of the objects around the fire detector 2. For reference, as a detection method of the fire detector 2, one of a photoelectric type, a differential type, and a constant temperature type is generally adopted. The photoelectric type works by changing the amount of light received by the photoelectric element by scattering the infrared rays emitted from the light emitting diode by the generated smoke. It's the way it works.

The analysis module 330 determines that the malfunctioning fire detector 2 is installed in the food cooking place through the objects of the objects around the fire detector 2, and if the fire detection method is photoelectric, the smoke generated in the food cooking place It is determined that the fire detector 2 has malfunctioned and the cause of the non-fire alarm is inferred to be the detection method of the installed fire detector 2.

The consulting module 340 provides consulting information to the user terminal 20 based on the non-fire alarm cause determined by the analysis module 330 . Consulting information provided from the consulting module 340 to the user terminal 20 recommends replacement with a constant temperature or differential fire detector 2 having a detection method suitable for a food cooking place (ie, an installation environment), or a food cooker It includes information recommending moving devices, that is, objects such as microwave ovens and gas stoves that can generate smoke or steam, to a predetermined distance from the fire detector 2.

As a second example in which the analysis module 330 infers the cause of non-fire alarm occurrence, the analysis module 330 compares the fire detector 2 object with the pre-built fire detector DB 332 to determine at least one of a manufacturer and a manufacturing model. Determine In addition, the analysis module 330 compares the manufacturer and manufacturing model of the determined fire detector 2 with the manufacturer, detection method, and model name of the fire detector 2 reported for non-fire information stored in the fire information DB 311, and the corresponding fire Determine the number of non-fire alarm reports in the manufacturer and manufacturing model of the detector (2). If the fire detector 2 manufactured by the same manufacturer or the number of non-fire alarm reports occurring in the same manufacturing model exceeds the reference value, the analysis module 330 infers the fire detector 2 itself as the cause of the non-fire alarm.

The consulting module 340 provides consulting information to the user terminal 20 based on the non-fire alarm cause determined by the analysis module 330 . Consulting information provided from the consulting module 340 to the user terminal 20 includes information recommending replacement with a fire detector 2 of another manufacturer or a different model.

As a third example in which the analysis module 330 infers the cause of non-fire alarm occurrence, the analysis module 330 is based on at least one of an incineration facility installed around the fire detector 2, a construction site, a factory, a smoking area, and a restaurant based on a map. Facility information including is further provided. The analysis module 330 infers the cause of the non-fire alarm by further considering the facility information and the detection method of the fire detector 2 .

For example, if an incineration facility, a construction site, a factory, a smoking area, and a restaurant are located around the fire detector 2, and the environment in which smoke is likely to flow in, and the detection method of the installed fire detector 2 is a photoelectric type, the inflow It is judged to be a malfunction due to dust or smoke, and the cause of the non-fire alarm is inferred to be the detection method of the installed fire detector (2).

The consulting module 340 provides consulting information to the user terminal 20 based on the non-fire alarm cause determined by the analysis module 330 . Consulting information provided from the consulting module 340 to the user terminal 20 includes information recommending replacement with a constant temperature or differential fire detector 2 having a detection method suitable for the installation environment.

4 is a diagram showing non-fire alarm causes and improvement measures.

Referring to FIG. 4 , the consulting module 340 provides the user terminal 20 with consulting information including the cause of the non-fire alarm determined by the analysis module 330 and an improvement plan (ie, a solution plan).

Consulting information provided by the consulting module 340 includes the following examples.

If the fire detector (2) is installed in a food cooking place, it is recommended to change the detection method of the fire detector (2) from the smoke detection method (photoelectric type) to the constant temperature type (heat detection room).

If the fire detector (2) is installed near a smoking place, it is recommended to change the detection method of the fire detector (2) from the smoke detection method (photoelectric type) to the constant temperature type (heat detection room).

If the fire detector (2) is installed near a dressing room (i.e., closet) or shower room, it is recommended to change the detection method of the fire detector (2) from the smoke detection method (photoelectric type) to the constant temperature type (heat detection room). .

If the fire detector (2) is installed near the air conditioner, it is recommended to install it away from the place affected by the outside inflow air.

If the fire detector (2) is installed in a location where steam from electrical appliances (eg, humidifier, etc.) is generated, it is recommended to move the product away from the fire detector (2) or refrain from using it.

If the fire detector (2) is installed in a place where dust is generated, such as a construction site or cleaning work area, it is recommended to cover the fire detector (2) with a dust cover and remove the cover after the construction site and cleaning work are finished.

If the fire detector (2) is installed near a balcony, outdoor room, or outside entrance where rapid temperature changes occur, it is recommended to replace the automatic detector (2) with a constant temperature detector (2).

If the fire detector (2) is installed on a ceiling with a risk of leakage, it is recommended to waterproof the wall where the fire detector (2) is installed or to replace it with a waterproof fire detector (2).

[Second Embodiment]

In the second embodiment, the cause of the non-fire alarm is inferred by analyzing an image taken of the area where the fire detector is installed, and consulting information on the cause of the non-fire alarm and improvement method is provided to the person in charge of the fire or firefighters to prevent the recurrence of the non-fire alarm. It's about how you can.

3 is a flowchart illustrating a non-fire alarm management method using artificial intelligence according to a second embodiment.

Since the user terminal and the fire signal receiver of the second embodiment are the same as those of the first embodiment, redundant descriptions are omitted.

Referring to FIG. 3, the method of the present invention includes storing in a fire information DB (S110), transmitting a message informing of the occurrence of a fire (S120), updating the fire information DB (S130), and It includes receiving the captured image (S140), extracting and recognizing it as an object (S150), inferring the cause of non-fire alarm occurrence (S160), and providing consulting information to the user terminal (S170).

In the step of storing in the fire information DB (S110), the receiving module of the non-fire alarm management server communicates with the fire signal receiver installed in the building to receive a fire signal and receive a fire report. When a fire report is received, the reception module receives a report phone number and a fire occurrence address from the fire signal receiver and matches and stores the report (ie, reception) time in the fire information DB. Here, the report phone number may be a representative phone number for managing a building previously registered in a fire signal receiver.

The receiving module may receive a fire report from a person who witnessed the fire by wire, and in this case, the person receiving the fire report may receive information such as an address where the fire occurred.

The reception module may receive a location of a fire detector that detects a fire among a plurality of fire detectors installed in a building from the fire signal receiver. For example, the location of the fire detector received from the reception module includes at least one piece of information such as a floor, number, wall, or ceiling, such as “a fire detector installed on the ceiling of a kitchen on the third floor of a building”.

In the step of transmitting a message informing of the occurrence of a fire (S120), when the notification module of the non-fire alarm management server receives a fire report from the reception module, a firefighter dispatched to extinguish the fire or a fire manager who manages a building in which a fire has occurred possesses A message notifying the occurrence of a fire is transmitted to at least one terminal among the user terminals. The message transmitted from the notification module to the user terminal includes a fire occurrence address and a specific location of a fire detector that detects a fire. For example, the message transmitted from the notification module to the user terminal includes a specific location, such as “a fire detector installed on the ceiling in a kitchen on the 3rd floor of a building”.

In the step of updating the fire information DB (S130), after the fire report is received by the reception module, at least one user of a user terminal possessed by a firefighter dispatched to extinguish a fire or a fire manager managing a building in which a fire has occurred It receives a report (ie, transmission) whether or not there is a fire from the terminal.

When a non-fire report is reported (input) from at least one user terminal among user terminals possessed by a person in charge of fire and a firefighter, the reception module specifies a non-fire report for an incident in which a fire report has been received and updates the fire information DB.

The fire information DB stores the location, phone number, time, manufacturer, detection method and model name of the fire detector installed in the building where the non-fire alarm occurred in the past, and manages the buildings in which the non-fire alarm occurred in an integrated manner.

In the step of receiving the captured image around the fire detector (S140), when a non-fire report is reported (input) from the user terminal, the analysis module of the non-fire alarm management server detects the area around the malfunctioning fire detector from at least one user terminal among the fire manager and firefighter. A photographed image is requested to be photographed, and a photographed image around the malfunctioning fire detector is transmitted from the user terminal.

In the step of extracting and recognizing as an object (S150), the analysis module analyzes the transmitted captured image to extract and recognize the fire detector and the object(s) around the fire detector as objects. For example, the analysis module objectifies, extracts, and recognizes all objects, such as a kitchen counter, a humidifier, a candle, and a cooking appliance located around a fire detector.

In the step of inferring the cause of non-fire alarm (S160), the analysis module infers the cause of non-fire alarm occurrence by comparing the fire detector recognized as an object and the surrounding object(s) with a previously constructed non-fire alarm cause DB.

In the providing step (S170) to the user terminal, the consulting module of the non-fire alarm management server provides recurrence prevention consulting information including the cause of the non-fire alarm occurrence and improvement measures deduced from the analysis module to the user terminal possessed by the fire manager and firefighter. do.

Since the analysis module infers the cause of the non-fire alarm occurrence and the consulting information provided by the consulting module are the same as those of the first embodiment, redundant descriptions are omitted.

Although the above has been described with reference to several embodiments of the present invention, those skilled in the art can make the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. It will be appreciated that various modifications and variations may be made.

10: fire signal receiver
20: user terminal
30: non-fire alarm management server
310: reception module
320: notification module
330: analysis module
340: consulting module

Claims (8)

When a fire occurs, a fire signal receiver receives a fire signal from a fire detector that detects a fire among a plurality of fire detectors installed in the building and receives a fire report to a fire report control center;
A user terminal possessed by at least one user of a fire manager and a firefighter and transmitting an image taken around a malfunctioning fire detector to a non-fire alarm management server when the occurrence of a fire is non-fire alarm; and
When a fire report is received from the fire signal receiver, the report phone number, fire occurrence address, and report time are stored in the fire information DB, and when a non-fire report is input from the user terminal, the non-fire report is specified for the case in which the fire report is received A reception module for updating the fire information DB, a notification module for transmitting a message notifying the occurrence of a fire to the user terminal, receiving a photographed image around a malfunctioning fire detector from the user terminal and analyzing the photographed image to detect a fire detector and a fire An analysis module for extracting and recognizing the object(s) around the detector as an object and comparing the recognized fire detector and surrounding object(s) with a pre-built non-fire alarm cause DB to infer the cause of non-fire alarm occurrence and the inferred occurrence A non-fire alarm management server including a consulting module providing recurrence prevention consulting information including causes and improvement plans to the user terminal
Non-fire alarm management system using artificial intelligence including. According to claim 1,
The analysis module,
The fire detector object is compared with a pre-built fire detector DB to determine at least one of a manufacturer and a manufacturing model, and a fire detector manufactured by the same manufacturer as the fire detector or a non-fire alarm report in the same manufacturing model.
The consulting module
If the fire detector manufactured by the same manufacturer as the fire detector or the number of non-fire alarm reports in the same manufacturing model exceeds the standard value, the recurrence prevention consulting information recommending installation of a fire detector of another manufacturer or other manufacturing model is provided to the user. Non-fire alarm cause analysis system, characterized in that provided to the terminal. According to claim 1,
The analysis module,
The detection method of the installed fire detector is determined by comparing the fire detector object with a pre-built fire detector DB, and the cause of the non-fire alarm occurrence is determined according to the light dependence of the installation environment of the fire detector through objects for objects around the fire detector. infer,
The consulting module,
Based on the installation environment, the recurrence prevention consulting information recommending the movement of the object or the installation of a fire detector of a detection method suitable for the installation environment is provided to the user terminal. Non-fire alarm management system. According to claim 1,
The analysis module,
Based on the map, facility information including at least one of an incineration facility installed around the fire detector, a construction site, a factory, a smoking area, and a restaurant is further provided and the cause of the non-fire alarm is inferred by further considering the facility information. A non-fire alarm management system using artificial intelligence. In the non-fire alarm management method by the non-fire alarm management server of the fire report control center,
When the fire report is received, the reception module stores the report phone number, fire occurrence address, and report time in the fire information DB;
Transmitting a message notifying the occurrence of a fire to at least one user terminal of a fire manager and a firefighter of the fire occurrence address stored in advance by a notification module;
When a non-fire report is reported from at least one of the fire manager and the firefighter, the reception module updating the fire information DB by specifying a non-fire report for the case in which the fire report is received;
receiving, by an analysis module, a captured image around the malfunctioning fire detector from at least one user terminal of the fire manager and the firefighter;
extracting and recognizing a fire detector and object(s) around the fire detector as an object by analyzing the photographed image by the analysis module;
inferring a non-fire alarm occurrence cause by comparing the recognized fire detector and surrounding object(s) with a pre-built non-fire alarm cause DB by the analysis module; and
Providing, by a consulting module, recurrence prevention consulting information including the inferred cause and improvement plan to at least one user terminal of the fire manager and firefighter
Non-fire alarm management method using artificial intelligence including. According to claim 5,
The analysis module,
The fire detector object is compared with a pre-built fire detector DB to determine at least one of a manufacturer and a manufacturing model, and a fire detector manufactured by the same manufacturer as the fire detector or a non-fire alarm report in the same manufacturing model.
The consulting module
If the fire detector manufactured by the same manufacturer as the fire detector or the number of non-fire alarm reports in the same manufacturing model exceeds the standard value, the recurrence prevention consulting information recommending installation of a fire detector of another manufacturer or other manufacturing model is provided to the user. A non-fire alarm cause analysis method characterized in that provided to the terminal. According to claim 5,
The analysis module,
The detection method of the installed fire detector is determined by comparing the fire detector object with a pre-built fire detector DB, and the cause of the non-fire alarm occurrence is determined according to the light dependence of the installation environment of the fire detector through objects for objects around the fire detector. infer,
The consulting module,
Based on the installation environment, the recurrence prevention consulting information recommending the movement of the object or the installation of a fire detector of a detection method suitable for the installation environment is provided to the user terminal. How to manage non-fire alarm. According to claim 5,
The analysis module,
Based on the map, facility information including at least one of an incineration facility installed around the fire detector, a construction site, a factory, a smoking area, and a restaurant is further provided and the cause of the non-fire alarm is inferred by further considering the facility information. A non-fire alarm management method using artificial intelligence.

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