KR102656349B1 - A Fire Detector with Multiple Signal Process, and Method Thereof - Google Patents

Abstract

A fire detector equipped with a multi-signal processing function according to an embodiment of the present invention includes a sensor generating a first input signal, an input device generating a second input signal, a memory storing a pre-trained learning model, and It may include at least one processor electrically connected to at least one of a sensor, the input device, or the memory. The processor may, in response to the first input signal, analyze the second input signal based on the learning model and generate an output signal based on the analysis result.

Description

Fire detector with multiple signal processing function and method of operation thereof {A Fire Detector with Multiple Signal Process, and Method Thereof}

The present invention relates to a smoke detector and a method of operating the same. More specifically, it relates to a fire detector that detects fire based on various types of signals and a method of operating the same.

The present invention relates to a fire detector that detects changes in indoor temperature or indoor air quality and generates an alarm or activates a fire extinguishing device when it is determined that a fire has occurred.

Existing fire detectors generate a fire alarm or activate a fire extinguishing device by unilaterally transmitting a signal when a situation such as a rise in temperature around the device occurs.

In this way, a fire detector transmits signals one-way, so an alarm sounds even if a malfunction occurs. A significant number of alarms are caused by malfunctioning smoke detectors. If the fire extinguishing system is activated due to such a malfunction, it may have a negative impact on daily life and cause economic losses.

Additionally, even if a fire breaks out, a situation may arise where the alarm or fire extinguishing device does not work. Therefore, a fire detector that operates in a fire situation by reflecting various information is needed.

The present invention is intended to prevent malfunction compared to existing fire detectors, and aims to provide a fire detector with multiple signal processing functions and a method of operating the same.

The present invention is intended to prepare for various fire scenarios compared to existing fire detectors, and its purpose is to provide a fire detector with multiple signal processing functions and a method of operating the same.

A fire detector with a multi-signal processing function according to an embodiment of the present invention includes a sensor generating a first input signal, an input device generating a second input signal, a memory storing a pre-trained learning model, and the It may include at least one processor electrically connected to at least one of a sensor, the input device, or the memory.

According to one embodiment, in response to the first input signal, the processor may analyze the second input signal based on the learning model and generate an output signal based on the analysis result.

According to one embodiment, the processor generates the output signal when it is a fire situation according to the analysis result, and when it is not a fire situation according to the analysis result, the processor generates the output signal while the first input signal is input. It may not be created.

According to one embodiment, the sensor may include at least one of a heat detection sensor, a smoke detection sensor, or a flame detection sensor.

According to one embodiment, the input device may include at least one of a voice sensor or an image sensor.

According to one embodiment, the fire detector may further include an output device electrically connected to the processor. The output device may emit at least one of light or sound into the air in response to the output signal.

According to one embodiment, the processor may monitor the first input signal in response to the second input signal and determine an error of the fire detector based on the monitoring result.

According to one embodiment, the processor may determine an error of the fire detector when the first input signal is not detected for a predetermined time according to the monitoring.

According to one embodiment, a multiple signal processing method of a fire detector includes an operation of obtaining a first input signal from a sensor, an operation of obtaining a second input signal from an input device, and a pre-learned method in response to the first input signal. It may include analyzing the second input signal according to a model and generating an output signal based on the analysis result.

According to the fire detector equipped with a multi-signal processing function and its operating method of the present invention, the accuracy of the fire detector can be effectively improved by reflecting various factors when detecting a fire, and it is possible to properly prepare for a fire situation.

Figure 1 is a diagram for explaining a fire detector equipped with a multi-signal processing function according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of a fire detector with multiple signal processing functions according to an embodiment of the present invention.
Figure 3 is a block diagram showing the configuration of a fire detector with multiple signal processing functions according to an embodiment of the present invention.
Figure 4 is a flowchart showing a method of operating a fire detector with multiple signal processing functions according to an embodiment of the present invention.
Figure 5 is a flowchart showing a method of operating a fire detector with multiple signal processing functions according to an embodiment of the present invention.
Figure 6 is a flowchart showing a method of operating a fire detector with multiple signal processing functions according to an embodiment of the present invention.

Hereinafter, various embodiments of the present invention are described with reference to the accompanying drawings. The present invention is not limited to specific embodiments, and should be understood to include various modifications, equivalents, and/or alternatives to the embodiments of the present invention. In connection with the description of the drawings, similar reference numbers may be used for similar components.

In this document, expressions such as “have,” “may have,” “includes,” or “may include” refer to the existence of the corresponding feature (e.g., a numerical value, function, operation, or component such as a part). , and does not rule out the existence of additional features.

In this document, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, “A or B”, “at least one of A and B”, or “at least one of A or B” (1) includes at least one A, (2) includes at least one B, or (3) it may refer to all cases including both at least one A and at least one B.

As used herein, expressions such as "first", "second", "first", or "second" may describe various elements in any order and/or importance, and may refer to one element as another. It is only used to distinguish from components and does not limit the components. For example, a first component may be renamed a second component without departing from the scope of rights described in this document, and similarly, the second component may also be renamed the first component.

The expression “configured to” used in this document may mean, for example, “suitable for,” “having the capacity to,” or “having the capacity to.” It can be used interchangeably with ", "designed to," "adapted to," "made to," or "capable of." The term “configured (or set) to” does not necessarily mean “specifically designed to.”

In this document, for example, “command”, “instruction”, “control information”, “message”, etc. transmitted and received between the first electronic device(s) and the second electronic device(s). “Information”, “data”, “packet”, “data packet”, “intent” and/or “signal”, regardless of the expression, means a human-perceivable idea or specific electrical expression (e.g. It may contain (digital symbol/analog physical quantity) or refer to itself. It will be apparent to those skilled in the art that the exemplary expressions listed above can be interpreted in various ways depending on the context in which they are used. In this document, “is greater than B” not only means “is greater than B,” but also includes “is equal to or greater than B.”

Terms used in this document are merely used to describe specific embodiments and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions, unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by a person of ordinary skill in the technical field described in this document. Among the terms used in this document, terms defined in general dictionaries may be interpreted to have the same or similar meaning as the meaning they have in the context of related technology, and unless clearly defined in this document, they may be interpreted in an ideal or excessively formal sense. It is not interpreted. In some cases, even terms defined in this document cannot be interpreted to exclude embodiments of this document.

Figure 1 is a diagram for explaining a fire detector equipped with a multi-signal processing function according to an embodiment of the present invention.

The housing 110 of the fire detector 100 according to an embodiment of the present invention may include an upper case 111 and a lower case 112. The upper case 111 and the lower case 112 may be combined with each other to have a space therein. The housing 110 may have various shapes other than those shown in the drawings of the present invention. For example, the housing 110 may be comprised of an integrated case.

The housing 110 may include a relay 120 therein for multiple signal processing. According to one embodiment, the relay 120 is intended to improve the shortcomings of a conventional fire detector. The relay 120 is a device set to perform operations on input signals and ultimately determine whether a fire has occurred. It can be. The relay 120 is included within the housing 110 and may be electrically connected to other components of the fire detector 100, for example, sensors and/or communication circuits.

According to one embodiment, various devices for fire detection and fire notification may be installed inside or outside the housing 110. For example, the fire detector 100 may include various sensors for detecting temperature, heat, or air quality. These sensors may be exposed to the outside of the housing 110 and electrically connected to components inside the housing 110.

According to one embodiment, the fire detector 100 may include an output device that notifies the occurrence of a fire, for example, an alarm. Alternatively, the fire detector 100 may be electrically connected to an external output device. These output devices may be placed inside or outside the housing 110.

According to one embodiment, the fire detector 100 may include a communication circuit to notify an external device of the occurrence of a fire. The communication circuit may be placed inside or outside the housing 110. The communication circuit may be electrically connected to the relay 120 or may be included in the relay 120. For example, the components included in the relay 120 and the communication circuit may be placed on the same printed circuit board (PCB).

Figure 2 is a block diagram showing the configuration of a fire detector with multiple signal processing functions according to an embodiment of the present invention.

The fire detector 200 (e.g., the fire detector 100 of FIG. 1) according to an embodiment includes a detection unit 210, a relay 220 (e.g., the relay 120 of FIG. 1), and a communication circuit 230. Alternatively, it may include at least one of the output device 240. The relay 220 may perform an operation on an input signal and provide an output signal to the output device 240. Additionally, the relay 220 may transmit the calculation result to an external device through the communication circuit 230. In FIG. 2, the communication circuit 230 is shown as a separate configuration from the relay 220, but the communication circuit 230 may be included in the relay 220 to form a single chip together with other components of the relay 220. there is.

According to one embodiment, the detection unit 210 may include at least one sensor that detects physical or chemical changes related to a fire situation. The detection unit 210 can collect information about the temperature, amount of smoke, amount of gas, etc. in the indoor space. For example, the detection unit 210 may include at least one of a smoke detection sensor, a heat detection sensor, and a flame detection sensor.

According to one embodiment, the detection unit 210 may include a circuit configured to transmit a signal to the relay 230 by applying voltage to the circuit when a fire situation is recognized.

According to one embodiment, the sensing unit 210 may further include an input device for collecting information about the surrounding situation in addition to changes in the chemical environment. The detection unit 210 may include a device that collects external video information, image information, or audio information. For example, the detection unit 210 may include at least one of an image sensor or a voice sensor. Alternatively, the sensing unit 210 may include at least one of a camera or a microphone.

According to one embodiment, the relay 220 may include a processor and memory capable of processing the signal obtained from the detection unit 210. When a specific voltage is generated in the detection unit 210 and an input signal is obtained from the detection unit 210, the processor may perform additional calculations. As a result, the input signal obtained from the detection unit 210 may be input to the processor rather than directly to the output device 240.

For example, instead of immediately sounding a fire alarm when the surrounding temperature rises above a certain temperature, the processor analyzes a signal input through another input device of the detection unit 210 and determines whether a fire has occurred based on the signal. can do. If it is determined that a fire has actually occurred, the processor may provide an output signal to the output device 240. The output signal may include a signal generated by the processor or acquired by the detection unit 210.

For this purpose, a pre-trained learning model may be stored in the memory. The processor may obtain a signal from the detection unit 210 and determine whether a fire has occurred based on the learning model.

According to one embodiment, the output device 240 may include an alarm device that sounds an alarm signal or a fire extinguishing device for extinguishing a fire. The output device 240 may be electrically connected to the relay 220. The output device 240 may emit at least one analog signal, such as light or sound, into the air in response to the output signal obtained from the relay 220.

The output device 240 may perform a fire extinguishing operation or may simultaneously perform an alarm operation and a fire extinguishing operation. Although FIG. 2 illustrates that the output device 240 is included in the fire alarm 200, the output device 240 may be placed outside the fire alarm 200 or may be a device independent of the fire alarm 200.

According to one embodiment, the fire detector 200 may further include a communication circuit 230. The processor included in the relay 220 may control the communication circuit 230 to transmit a fire notification message to an external device.

The processor may include at least one of a central processing unit (CPU), an application processor (AP), or a communication processor (CP). The processor is electrically connected to at least one of the sensing unit 210, the communication circuit 230, or the output device 240, and during operation, controls and/or communicates with other components according to instructions, programs, or software stored in the memory. You can perform calculations or data processing related to . Accordingly, execution of the instruction, application program, or software can be understood as the operation of the processor.

Memory may include volatile and/or non-volatile memory. The memory may store commands or data related to at least one other component in the communication device. For example, memory may store instructions that, when executed, cause the processor to perform various operations described herein. As an example, the command may be included in a package file of an application program.

According to one embodiment, the communication circuit 230 may support wired and wireless communication. The network used here may include at least one of a telecommunications network, a computer network, the Internet, or a telephone network. Communication protocols for accessing the network include, for example, Long-Term Evolution (LTE), LTE Advanced (LTE-A), Code Division Multiple Access (CDMA), Wideband CDMA (WCDMA), and Universal Mobile Telecommunications System (UMTS). , WiBro (Wireless Broadband), GSM (Global System for Mobile communications), 5G standard communication protocol, TCP/IP (Transmission Control Protocol/Internet Protocol), and UDP (User Datagram Protocol) can be used.

Alternatively, the communication circuit 230 may support short-distance communication with an external device within a certain radius. For example, the short-range communication method may include Bluetooth or Wi-Fi communication method. However, it is not limited to this, and the short-distance communication method may further include Near Field Communication (NFC), Zigbee, etc.

An external device is an electronic device and may be implemented as a computer that can connect to a remote server or terminal through a network. For example, a computer may include a laptop, desktop, laptop, etc. equipped with a web browser. In addition, the external device is a wireless communication device that guarantees portability and mobility, including navigation, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handphone System), and PDA ( Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, It may include all types of handheld-based wireless communication devices such as smartpads and tablet PCs.

According to one embodiment, the learning model may be a deep neural network (DNN)-based learning model. In the memory, a large number of collected data can be learned to recognize input information, and a DNN-based learning model can be stored as a result of the performed learning.

The DNN is an artificial neural network that includes an input layer, an output layer, and a plurality of hidden layers between the input layer and the output layer. DNN-based models may include a Convolutional Neural Network (CNN) model, a Deep Convolutional Neural Network (DCNN) model, a Recurrent Neural Network (RNN), and a Recurrent Deep Neural Network (RDNN) model.

Figure 3 is a block diagram showing the configuration of a fire detector with multiple signal processing functions according to an embodiment of the present invention.

The fire detector 300 (e.g., the fire detector 100 of FIG. 1) according to an embodiment includes a first detection unit 310, a second detection unit 320, and a relay 330 (e.g., the relay of FIG. 1). (120)), a communication circuit 340, and an output device 350 may be included. For some description of the configuration of FIG. 3, refer to the description of FIG. 2.

The fire detector 300 may include at least one relay 330 and a plurality of detection units 310 and 320. The first detection unit 310 and the second detection unit 320 may be electrically connected to the relay 330 in a mutually independent configuration. The relay 330 may also be electrically connected to the communication circuit 340 or the output device 350.

According to one embodiment, the first detection unit 310 may include at least one sensor that detects physical or chemical changes related to a fire situation. The first detection unit 310 can collect information about the temperature, amount of smoke, amount of gas, etc. in the indoor space. For example, the first detection unit 310 may include at least one of a smoke detection sensor, a heat detection sensor, and a flame detection sensor. According to one embodiment, the first detection unit 310 may include a circuit configured to transmit a signal to the relay 330 by applying voltage to the circuit.

According to one embodiment, the second detection unit 320 may include an input device for collecting surrounding situation information in addition to physical or chemical changes. The second detection unit 320 may include a device that collects video information, image information, or audio information. For example, the second sensor 320 may include at least one of an image sensor or a voice sensor. Alternatively, the sensing unit 320 may include a camera or microphone. According to one embodiment, the second detection unit 320 may be placed on a separate PCB from the first detection unit 310.

According to one embodiment, the second detection unit 320 includes a sensor that detects physical or chemical changes related to a fire situation, and the second detection unit 320 can be distinguished from the first detection unit 310. You can. For example, the first detection unit 310 may include a heat detection sensor and the second detection unit 320 may include a flame detection sensor. Configurations included in the first detection unit 310 and the second detection unit 320 may intersect or change with each other. For example, the first detection unit 310 connected to the relay 330 may include a voice sensor, and the second detection unit 320 connected to the relay 330 may include a heat detection sensor.

Hereinafter, the signal output from the first detection unit 310 is referred to as a first sensing signal or a first input signal, and the signal output from the second detection unit 320 is referred to as a second sensing signal or a second input signal. .

Relay 330 may include a processor and memory. The processor may perform an operation based on the first input signal or the second input signal and provide an output signal to the output device 350. A pre-trained learning model may be stored in the memory. The processor may obtain a first input signal or a second input signal and determine whether a fire has occurred based on the learning model.

When the relay 330 acquires the first input signal, it can confirm based on the learning model whether the acquired first input signal occurred in a fire situation. To this end, the relay 330 is electrically connected to the second detection unit 320 and can confirm whether a fire situation has actually occurred based on the second input signal generated from the second detection unit 320.

According to one embodiment, the relay 330 operates the communication circuit 340 based on the second input signal obtained from the second detection unit 320 even while the first input signal is not generated from the first detection unit 310. ) or it can be decided whether to provide an output signal to the output device 350. That is, even if an error occurs in the first detection unit 310, the relay 330 can notify the user of a crisis situation.

According to one embodiment, the output device 350 may include an alarm device that sounds an alarm signal or a fire extinguishing device for extinguishing a fire. The output device 350 may be electrically connected to the relay 330. The output device 350 may obtain an output signal from the relay 330 and perform an alarm operation. For example, the output device 350 may emit light or sound to the outside into the air. Alternatively, the output device 350 may perform a fire extinguishing operation or may perform an alarm operation and a fire extinguishing operation simultaneously.

The output signal may include a signal generated by the processor or acquired by the first detection unit 310. For example, if it is determined that there is a fire situation, the processor may transmit the first input signal to the output device 350.

According to one embodiment, the fire detector 300 may further include a communication circuit 340 for transmitting a signal to or receiving a signal from an external device. The processor included in the relay 330 may control the communication circuit 340 to transmit a fire notification message to an external device. If the second input signal satisfies a predetermined condition, the relay 330 may transmit a fire notification message to an external device through the communication circuit 340.

According to one embodiment, the fire detector 300 may operate in a first operation mode or a second operation mode. The fire detector 300 may analyze the second input signal in response to the first input signal in the first operation mode. The fire detector 300 may analyze the second input signal regardless of the first input signal in the second operation mode.

In the description of the present invention, if the first input signal or the second input signal is generated by a sensor, it may be replaced with expressions such as the first sensing signal or the second sensing signal.

Figure 4 is a flowchart showing a method of operating a fire detector with multiple signal processing functions according to an embodiment of the present invention.

A fire detector according to an embodiment (e.g., the fire detector 200 of FIG. 2 or the fire detector 300 of FIG. 3) includes a first detection unit (e.g., a sensor of the detection unit 210 of FIG. 2 or a sensor of FIG. 3). When the first detection unit 310 recognizes a fire situation, the information obtained through the second detection unit (e.g., the input device of the detection unit 210 in FIG. 2 or the second detection unit 320 in FIG. 3) Based on the input signal, it can be determined whether the fire situation actually occurred. The following description describes the operation of the processor, but the operations below can be replaced with the operation of a fire detector or relay.

In operation 401, the processor may obtain a first input signal from the first detector. The first input signal may be generated by the operation of a sensor.

In operation 403, the processor may obtain a second input signal from the second detector. According to one embodiment, the processor may periodically obtain the second input signal.

Alternatively, the processor may obtain a second input signal in response to the first input signal. When the processor obtains a first input signal, it can drive a video capture device, an image capture device, a voice sensor, etc. in response and obtain a second input signal such as video data, image data, or voice data.

At operation 405, the processor may analyze the second input signal. The processor may analyze the second input signal in response to the first input signal. Additionally, the processor may analyze the second input signal based on a pre-learned model.

At operation 407, the processor may provide an output signal based on the analysis results. If the analysis results indicate a fire situation, the processor can generate an output signal. For example, if the input signal indicates the utterance intention of “fire” according to the analysis result, the processor may generate an output signal. The situation that generates the output signal may be pre-stored in memory. The processor may generate a new output signal or transmit the first input signal to an output device. The output device may emit light or sound to the external space in response to the output signal.

If the analysis result of the second input signal does not indicate a fire situation, the processor may not provide an output signal to the output device even if the processor acquires the first input signal. For example, if the image analyzed based on the learning model does not show a fire situation, an alarm sound may not be generated even if a fire situation is detected by the heat detection sensor. In this case, the processor may delete or discard the first input signal.

According to one embodiment, the processor may transmit a fire alarm notification message to an external device. Here, the external device may include a user device or a public device that can provide notifications to many people within a specific living space. The processor may generate a fire alarm notification message and transmit the generated message to an external device through a communication circuit.

Figure 5 is a flowchart showing a method of operating a fire detector with a multi-signal processing function according to an embodiment of the present invention.

According to one embodiment, the fire detector (e.g., the fire detector 200 of FIG. 2 or the fire detector 300 of FIG. 3) is a first detection unit (e.g., the sensor of the detection unit 210 of FIG. 2 or the sensor of FIG. 3). Even if the first detection unit 310 of ) does not detect a fire situation, it is obtained from the second detection unit (e.g., the input device of the detection unit 210 of FIG. 2 or the second detection unit 310 of FIG. 3). Based on the video, it is possible to determine an emergency situation and sound an alarm. The following description describes the operation of the processor, but may be replaced with the operation of a fire detector or relay (eg, relay 220 in FIG. 2 or relay 330 in FIG. 3). The following description of FIG. 5 assumes a situation in which a signal is not input from the first detector to the processor.

In operation 501, the processor may obtain a second input signal from the second sensor while there is no input of the first input signal from the first sensor. To this end, the signal line through which the first input signal is input to the processor and the signal line through which the second input signal is input into the processor may be independent of each other.

In operation 503, the processor may analyze the second input signal based on a pre-trained model. The processor may analyze the second input signal to identify the situation represented by the input signal. The second input signal may include, for example, at least one of video data, audio data, and image data.

At operation 505, the processor may generate an output signal based on the analysis results. The processor may generate an output signal if the analysis results indicate a fire situation and provide the output signal to an output device. In this case, the output device may emit light, sound, etc. to the outside in response to the output signal.

At operation 507, the processor may transmit a fire alarm notification message to an external device. Here, the external device may include a user device or a public device that can provide notifications to many people within a specific living space. The processor may generate a fire alarm notification message and transmit the generated message to an external device through a communication circuit.

Figure 6 is a flowchart showing a method of operating a fire detector with multiple signal processing functions according to an embodiment of the present invention.

If the first detection unit (e.g., the sensor of the detection unit 210 in FIG. 2 or the first detection unit 310 in FIG. 3) fails to detect it even though it is judged to be a fire situation as a result of reading the image, etc., the fire detector It can be seen that an error has occurred. Referring to FIG. 6, a fire detector (e.g., fire detector 200 in FIG. 2 or fire detector 300 in FIG. 3) monitors the first input signal based on the second input signal and determines whether the fire alarm device has an error. can be decided. The following description describes the operation of the processor, but the operations below can be replaced with the operation of a fire detector or relay.

At operation 601, the processor may obtain a second input signal from the input device. The second input signal may be related to at least one of video, image, or voice.

In operation 603, the processor may analyze the second input signal based on a pre-trained model. The processor may analyze the second input signal, identify the situation indicated by the second input signal, and determine whether a fire situation has occurred based on the analysis result. If the situation identified in operation 603 corresponds to a fire situation, it is determined that a fire has occurred and the first input signal can be monitored in operation 605.

In operation 605, the processor may monitor the first input signal based on the analysis result. The first input signal may include a signal generated by the operation of the sensor. For example, the first input signal may be a signal generated by the operation of the first detection unit 310 of FIG. 3.

At operation 607, the processor may determine whether an error has occurred in the smoke detector based on the monitoring results. If the first input signal is not input to the processor despite determining that a fire situation has occurred as a result of analysis of the second input signal, it may be determined that an error has occurred in the fire detector.

According to one embodiment, when the first input signal is not detected for a predetermined period of time, the processor may determine that an error has occurred in the smoke detector. In this case, the processor may transmit the error message to an external device through a communication circuit. The external device may include, for example, a user terminal or an administrator terminal that jointly manages the fire detector.

In some embodiments of FIGS. 4 to 6 , the entity that analyzes the second input signal may be a server external to the fire detector rather than a processor. In this case, the fire detector may transmit the second input signal to an external server through a communication circuit. The external server may analyze whether the second input signal is related to a fire situation using a learning model previously stored in the database. If the analysis result is related to a fire situation, the external server may transmit a fire notification message to at least one of a fire detector or an external device. If there is no fire situation, the external server may not send a message to the smoke detector or may send a message indicating that there is no fire situation. In response to the second input signal, the fire detector that receives the fire notification message may transmit an output signal to an output device and/or transmit the fire notification message to an external device.

According to one embodiment, the fire detector may be set to a first operation mode or a second operation mode. In the first operating mode, the fire detector may analyze the second input signal in response to the first input signal, as shown in FIG. 4. In the second operating mode, the fire detector may analyze the second input signal regardless of the first input signal. In this case, the fire detector may transmit a fire notification message based on the second input signal analysis result as shown in FIG. 5 or 6 and/or notify the user or external device of an error in the fire detector.

In this way, according to the fire detector equipped with a multi-signal processing function of the present invention and its operating method, the accuracy of the fire detector can be effectively improved by reflecting a plurality of signal elements when detecting a fire, and reflecting a plurality of signal elements By doing so, it is possible to prepare for a variety of fire situations compared to existing fire detectors.

In the above, even though all the components constituting the embodiment of the present invention have been described as being combined or operated in combination, the present invention is not necessarily limited to this embodiment. That is, as long as it is within the scope of the purpose of the present invention, all of the components may be operated by selectively combining one or more of them.

Meanwhile, various embodiments described in this specification may be implemented by hardware, middleware, microcode, software, and/or a combination thereof. For example, various embodiments may include one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), and field programmable gate arrays (FPGAs). ), processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions presented herein, or a combination thereof.

Additionally, for example, various embodiments may be encoded or embodied in a computer-readable medium containing instructions. Instructions contained or encoded in a computer-readable medium may cause a programmable processor or other processor to perform a method when the instructions are executed, for example. Computer-readable media includes computer storage media, which may be any available media that can be accessed by a computer. For example, such computer-readable media may include RAM, ROM, EEPROM, CD-ROM, or other optical disk storage media, magnetic disk storage media, or other magnetic storage devices.

Such hardware, software, firmware, etc. may be implemented within the same device or within individual devices to support the various operations and functions described herein. Additionally, components, units, modules, components, etc. described as “~” in the present invention may be implemented together or individually as separate but interoperable logic devices. The description of different features for modules, units, etc. is intended to highlight different functional embodiments and does not necessarily imply that they must be realized by individual hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components or may be integrated within common or separate hardware or software components.

Although operations are shown in the drawings in a particular order, it should not be understood that these operations are performed in the particular order shown, or in sequential order, or that all depicted operations need to be performed to achieve the desired results. . In some environments, multitasking and parallel processing can be advantageous. Moreover, the distinction of various components in the above-described embodiments should not be construed as requiring such a distinction in all embodiments, and the described components are generally integrated together into a single software product or packaged into multiple software products. It must be understood that it can be done.

Electronic devices, servers, or external devices according to various embodiments of this document described above include, for example, a smartphone, tablet PC, mobile phone, video phone, desktop PC, laptop PC, PDA (personal digital assistant), It may include at least one of a portable multimedia player (PMP), MP3 player, mobile medical device, camera, or wearable device.

According to various embodiments, the wearable device may be in the form of an accessory (e.g., a watch, ring, bracelet, anklet, necklace, glasses, contact lenses, or a head-mounted-device (HMD)), a fabric or clothing piece ( It may include at least one of a body attachable type (e.g. electronic clothing), a body attachable type (e.g. a skin pad or tattoo), or a bioimplantable type (e.g. an implantable circuit).

In some embodiments, the electronic device or external device may be a home appliance. Home appliances include, for example, televisions, DVD players (Digital Video Disk players), stereos, refrigerators, air conditioners, vacuum cleaners, ovens, microwave ovens, washing machines, air purifiers, set-top boxes, and home automation. It may include at least one of a home automation control panel, a security control panel, a TV box, a game console, an electronic dictionary, an electronic key, a camcorder, or an electronic picture frame.

In other embodiments, electronic devices, external devices, and wearable devices include various medical devices (e.g., various portable medical measurement devices (blood sugar monitor, heart rate monitor, blood pressure monitor, or body temperature monitor, etc.), magnetic resonance angiography (MRA), MRI). (magnetic resonance imaging, CT (computed tomography), imaging device, or ultrasound device, etc.), navigation device, satellite navigation system (GNSS (Global Navigation Satellite System)), EDR (event data recorder), FDR (flight data recorder) ), automotive infotainment devices, home robots, or internet of things (e.g. light bulbs, various sensors, electric or gas meters, sprinkler systems, fire alarms, thermostats, street lights, exercise equipment) , hot water tank, heater, boiler, etc.).

As described above, the optimal embodiment has been disclosed in the drawings and specifications. Although specific terms are used here, they are used only for the purpose of explaining the present invention and are not used to limit the meaning or scope of the present invention described in the claims. Therefore, those skilled in the art will understand that various modifications and other equivalent embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the attached patent claims.

Claims (7)

In a fire detector with multiple signal processing functions,
A sensor generating a first input signal;
an input device generating a second input signal;
Memory for storing pre-trained learning models; and
At least one processor electrically connected to at least one of the sensor, the input device, and the memory,
The processor,
In a first operation mode, in response to the first input signal, analyze the second input signal based on the learning model and generate an output signal based on the analysis result,
In a second operation mode, regardless of the first input signal, analyzing the second input signal based on the learning model and generating the output signal based on the analysis result,
In the second operation mode, configured to monitor the first input signal based on the analysis result and determine an error of the smoke detector based on the monitoring result,
Smoke detector. In claim 1,
The processor, in the first operating mode,
In case of a fire situation according to the analysis results, generate the output signal,
If it is not a fire situation according to the analysis results, the output signal is not generated while the first input signal is input,
Smoke detector. In claim 1,
The sensor includes at least one of a heat sensor, a smoke sensor, or a flame sensor,
The input device includes at least one of a voice sensor or an image sensor,
Smoke detector. In claim 1,
Further comprising an output device electrically connected to the processor,
The output device emits at least one of light or sound into the air in response to the output signal,
Smoke detector. delete In claim 1,
The processor, in the second operating mode,
Determining an error of the fire detector when the first input signal is not detected for a predetermined time according to the monitoring,
Smoke detector. In the multiple signal processing method of a fire detector,
Obtaining a first input signal from a sensor;
Obtaining a second input signal from an input device;
In a first operation mode, in response to the first input signal, analyzing the second input signal according to a pre-trained learning model and generating an output signal based on the analysis result;
In a second operation mode, regardless of the first input signal, analyzing the second input signal based on the learning model and generating the output signal based on the analysis result; and
In the second operation mode, monitoring the first input signal based on the analysis result, and determining an error of the fire detector based on the monitoring result,
method