KR102204055B1 - Artificial intelligent fire extinguishing system for commercial kitchen facilities - Google Patents

Abstract

The artificial intelligent commercial kitchen fire extinguishing system according to the present invention comprises: an information collection unit; Management server unit; And an individual terminal unit; it is possible to accurately diagnose gas leaks and fires occurring in commercial kitchen facilities, and control the supply of fuel gas and the operation of fire extinguishing equipment to extinguish fires. Immediate response and prevention are managed.
In addition, a means for supplying a label gas and a means for detecting are additionally provided, so that errors generated due to malfunction of the fuel gas detection sensor can be corrected, so that the leakage of fuel gas can be accurately evaluated.
In addition, the artificial intelligent commercial kitchen fire extinguishing system according to the present invention can not only monitor in real time situation information on risk factors such as earthquakes in addition to gas leaks and fire occurrences, but also determine when to replace or repair gas supply facilities. It is possible to integrate and manage commercial kitchen facilities.

Description

Artificial intelligent fire extinguishing system for commercial kitchen facilities

The present invention enables accurate diagnosis of gas leaks and fires occurring in commercial kitchen facilities such as restaurants, public institutions or corporate cafeterias, military bases restaurants, and catering facilities, and cuts off the supply of fuel gas and extinguishes fire. It relates to an artificial intelligent commercial kitchen fire extinguishing system that enables immediate response and prevention of safety accidents by controlling fire extinguishing facilities.

In general, commercial kitchen facilities such as restaurants, canteens of public institutions or corporations, military-based restaurants, and group catering facilities require a large amount of food to be cooked in a short time, so unlike cooking tools used in general homes, it is for high-heat or large-scale commercial kitchen facilities. You are using a gas stove.

Gas ranges commonly used in commercial kitchen facilities include a plurality of nozzles, gas supply pipes that supply gas to the nozzles, control valves that control gas supply to the gas supply pipes, pipe connectors that connect gas supply pipes, and gas ignition devices. It includes, and has a structure in which a plurality of gas ranges are provided in order to provide strong heating power during cooking, or a gas range of high heating power is provided.

Gas ranges used in commercial kitchen facilities are used by supplying flammable fuel gas such as LPG or LNG, and there is a problem that a fire occurs when leaking to the outside, so it is more important to fundamentally block the leakage of fuel gas. Do.

However, in the case of commercial kitchen facilities in which gas supply pipes and control valves are aging, there is a possibility that fuel gas may leak, and there is a risk that fuel gas is loaded in a sealed environment and exploded.

In recent years, as a way to prepare for gas leakage, a gas leak detection sensor is installed to detect the gas leak and shut off the valve, or a system equipped with a gas leak detection alarm and a valve breaker is installed to prevent gas leakage. A system is being introduced that blocks the operation of the gas range and the gas valve at the same time as the alarm sounds.

However, in the existing system, there are frequent cases where it is not possible to accurately detect whether gas leakage due to a malfunction of the gas detection sensor, and there is a problem that it is difficult to accurately identify the timing of maintenance or replacement of aging gas supply facilities. Research on

Korean Patent Registration No. 10-1824030 (announcement date: 2018.01.31) Korean Patent Publication No. 10-2017-0127923 (Publication date: 2017.11.22) Korean Patent Publication No. 10-2009-0039368 (Publication date: 2009.04.22)

The present invention was devised to solve the problems of the prior art as described above, and an accurate diagnosis of gas leakage and fire occurrence occurring in commercial kitchen facilities is possible, and a fire extinguishing facility that cuts off the supply of fuel gas and extinguishes a fire It is intended to provide technical details about an artificial intelligent commercial kitchen fire extinguishing system that can control and prevent immediate response and prevention of safety accidents.

In addition, the present invention is an artificial intelligent commercial kitchen capable of integrating management of commercial kitchen facilities by providing situational information to enable immediate response to risk factors such as earthquakes and to determine when to replace or repair gas supply facilities. It is intended to provide a description of the digestive system.

In order to achieve the above-described technical problem, the present invention provides context information including fuel gas leakage, fire occurrence, and temperature change occurring in a monitored area, including a fuel gas detection module, a fire detection module, and a temperature detection module. An information collection unit that generates and transmits it through a communication network; Management that monitors the area to be monitored using the situation information collected by the information collection unit, generates and transmits a control signal for controlling the information collection unit, and generates and transmits notification information on fuel gas leakage and fire occurrence Server unit; And an individual terminal unit receiving the notification information generated by the management server unit, wherein the management server unit monitors the fuel gas leakage occurring in the monitoring target area using the situation information collected by the fuel gas detection module. And, when the detection value of the fuel gas detected by the fuel gas detection module exceeds a preset range, it is evaluated that a fuel gas leak has occurred, and when it is evaluated that a fuel gas leak has occurred, a control signal that blocks the supply of fuel gas is provided. Generates and transmits, and monitors the fire occurring in the area to be monitored using the situation information collected by the fire detection module and the temperature detection module, and the fire detection value detected by the fire detection module and the temperature detected by the temperature detection module Artificial intelligence commercial kitchen fire extinguishing, characterized in that when the detection value exceeds a preset range, it is evaluated as having a fire, and when it is evaluated that a fire has occurred, a control signal that controls the fire extinguishing facility is generated and transmitted. System.

According to a preferred embodiment of the present invention, the temperature detection module may include a plurality of temperature sensors installed for each division in a region to be monitored and a malfunction detection means for detecting malfunction of the temperature sensor.

In addition, according to a preferred embodiment of the present invention, the information collection unit may further include at least one selected from the group consisting of a fire detection module, an earthquake detection module, an image capture module, and an acoustic detection module.

In addition, according to a preferred embodiment of the present invention, the information collection unit may further include a voice recognition module.

In addition, the artificial intelligent commercial kitchen fire extinguishing system according to the present invention may further include a label gas supply unit for supplying a mark gas to the fuel gas supply pipe and a mark gas detection module for detecting the mark gas.

The artificial intelligent commercial kitchen fire extinguishing system according to the present invention enables accurate diagnosis of gas leaks and fire occurrences occurring in commercial kitchen facilities, and controls the supply of fuel gas and the operation of fire extinguishing facilities to extinguish fire in a short time. So, immediate response and prevention for safety accidents are managed.

In addition, a means for supplying a label gas and a means for detecting are additionally provided, so that errors generated due to malfunction of the fuel gas detection sensor can be corrected, so that the leakage of fuel gas can be accurately evaluated.

In addition, the artificial intelligent commercial kitchen fire extinguishing system according to the present invention can not only monitor in real time situation information on risk factors such as earthquakes in addition to gas leaks and fire occurrences, but also determine when to replace or repair gas supply facilities. It is possible to integrate and manage commercial kitchen facilities.

1 is a block diagram schematically showing the overall configuration of an artificial intelligent commercial kitchen fire extinguishing system according to the present invention.

In this specification, the term'commercial kitchen facility' generally refers to a place where a heating device such as a gas stove is installed indoors in order to cook a large amount of food in a short time in a restaurant, public institution or corporate cafeteria, military unit restaurant, and group catering facility. It means.

Hereinafter, the present invention will be described in detail.

The artificial intelligence commercial kitchen fire extinguishing system 10 according to the present invention includes an information collection unit 100; Management server unit 200; And an individual terminal unit 300;

The information collection unit 100 is installed in a monitoring target area of a commercial kitchen facility to collect situation information and transmit it to the management server unit 200 through a communication network so that fuel gas leakage, fire occurrence, and temperature change can be checked. And, it includes a fuel gas detection module 110, a fire detection module 120, and a temperature detection module 130.

The fuel gas detection module 110 includes a plurality of fuel gas detection sensors to detect fuel gas, and the fuel gas detection sensor detects fuel gas leaking from a gas supply pipe, a control valve, a pipe connector, etc. It generates a fuel gas measurement value including the concentration of and transmits the fuel gas measurement value to the management server unit 200 to be described later.

The fuel gas detection sensor may introduce and use various types of fuel gas detection sensors that are commonly used to detect fuel gas leaking from the monitoring target area.

For example, the fuel gas detection sensor uses a semiconductor sensor, a ceramic temperature/humidity sensor, a piezoelectric sensor, etc. that use changes in solid properties by adsorption or reaction of gas, a contact combustion sensor using combustion heat, or an electrochemical reaction. A solid electrolyte sensor, an electrochemical sensor to be used, or an infrared absorption sensor using a physical characteristic value may be used, and a sensor of a type suitable for the installed point and location may be selectively introduced and used.

In particular, the fuel gas detection sensor is methane (CH ₄ ), propane (C ₃ H ₈ ), butane (C ₄ H ₁₀ ), oxygen (O ₂ ), hydrogen (H ₂ ), carbon dioxide (CO ₂ ), or a mixture thereof Gas can be detected, whereby fuel gases such as LPG (liquefied petroleum gas), LNG (liquefied natural gas), CNG (compressed natural gas), and the like can be accurately detected.

In addition, the fuel gas detection module 110 may introduce and use one or more types of fuel gas detection sensors to accurately detect gas leakage.

When a fire occurs in a commercial kitchen facility, the fire detection module 120 may be configured to respond to a dangerous situation by generating situation information including a fire detection value and transmitting it to the management server unit 200 to be described later.

The fire detection module 120 includes a plurality of fire detection sensors installed in the monitoring target area in order to detect a fire occurring in the monitoring target area, and may introduce and use various types of fire detection sensors that are commonly used. .

Specifically, the fire detection module 120 may use a smoke detection sensor, a flame detection sensor, or a fire detection sensor including all of these sensors, and the fire detection value indicates the amount of smoke generated, the smoke concentration, the intensity of the flame, and the size of the flame. It means the situation information of the area to be monitored to be included.

The smoke detection sensor detects smoke generated when a fire occurs in the area to be monitored, measures the amount or concentration of smoke, and transmits it to the management server unit 200, and the management server unit 200 is the amount of smoke generated in the area to be monitored. Alternatively, if the fire detection value including the smoke concentration exceeds a preset value, it can be evaluated as having a fire.

The flame detection sensor detects the flame generated when a fire occurs in the area to be monitored, detects the intensity and size of the detected flame, and transmits it to the management server unit 200, and the management server unit 200 is the area to be monitored. If the fire detection value including the intensity and size of the flame generated in exceeds the preset range, it can be evaluated as having occurred.

The temperature detection module 130 detects temperature including a plurality of temperature sensors installed in the monitoring target area, and transmits the detected temperature detection value to the management server unit 200.

When the temperature detection value detected by the temperature detection module 130 exceeds a preset temperature range due to a fire occurring in the monitoring target area, the management server unit 200 may evaluate that a fire has occurred. .

In particular, the temperature detection module 130 operates in the same manner as the above-described fire detection module 120 to detect a malfunction of the fire detection module 120 so that accurate fire-related situation information can be checked.

For example, when the fire detection value measured by the fire detection module 120 exceeds a preset range, the management server unit 200 simultaneously checks the temperature detection value of the temperature detection module 130, and If it is confirmed that the temperature has risen rapidly, it is evaluated that a fire has occurred, and through this method, a structure capable of accurate fire detection is formed.

Conversely, when the fire detection value measured by the fire detection module 120 exceeds a preset range, the temperature detection value of the temperature detection module 130 is checked and it is confirmed that the temperature of the monitoring target area has not changed. In order to accurately determine whether it is caused by a malfunction of the fire detection module 120, the management server unit 200 transmits the corresponding information to the manager terminal.

In addition, the temperature detection module 130 includes a plurality of temperature sensors and malfunction detection means installed in the area to be monitored to prevent generation of inaccurate information generated due to malfunction of the temperature sensor. Can be minimized.

As an example, the temperature detection module 130 divides and manages a plurality of temperature sensors sequentially installed in the monitoring target area and temperature sensors installed in the monitoring target area by specific compartments, and belongs to the same compartment or in each of the adjacent temperature sensors. When it is determined that the temperature detection value exceeds the preset error range by comparing the detected temperature detection values, it is transmitted to the management server unit 200 so that the administrator can check whether a malfunction of the temperature sensor installed in the monitoring target area has occurred. To be.

Alternatively, the temperature detection module 130 may include a plurality of temperature sensors sequentially installed in the area to be monitored, a control board equipped with a switch selectively connected to the plurality of temperature sensors, a resistance meter measuring resistance generated by the temperature sensor, It is possible to use a structure including a control unit that controls the operation of the switch and the resistance meter.

The temperature sensing module 130 having the structure as described above is operated to open and close so that the switches connected to the plurality of temperature sensors are controlled by the control unit to be sequentially connected, and the resistance meter measures resistances sensed by the temperature sensors connected by the switches, respectively. It measures, and allows the control unit to check a temperature sensor whose resistance is measured differently, and when a temperature sensor with a different resistance is identified, it transmits it to the management server unit 200 to cause a malfunction of the temperature sensor installed in the area to be monitored by the administrator. Allows you to check whether it has occurred.

In addition, the information collection unit 100 may be configured to additionally include a sound sensing module 140.

Acoustic detection module 140 is a component for detecting the leakage sound generated in the leaking part of the gas supply pipe, control valve or pipe connector, and accurate repair or replacement by calculating the life of the gas supply pipe, control valve or pipe connector Make sure you can check the timing.

Specifically, when a leaking part occurs on a gas supply pipe, a control valve, or a pipe connector, fuel gas leaks and a leaking sound is generated, and the acoustic detection module 140 detects the leaking sound generated at the leaked part and provides acoustic information. It serves to collect.

To this end, the acoustic detection module 140 includes an acoustic sensor that detects a leak sound, and the acoustic sensor is installed on a gas supply pipe, a control valve, and a pipe connector to detect a leak sound, and the detected leak sound A sound detection value for the may be generated and transmitted to the management server unit 200 to be described later, and a plurality of sound sensors may be installed as necessary.

In addition, the information collection unit 100 may be configured to further include an earthquake detection module 150.

The earthquake detection module 150 may detect an earthquake occurring in a monitoring target area of a business and transmit an earthquake detection value, and may introduce and use a plurality of various types of earthquake detection sensors commonly used to detect earthquakes. .

Preferably, the earthquake detection module 150 is a three-axis vibration detection sensor that senses the vibration of three axes including the X-axis, Y-axis, and Z-axis for the vibration detection of the earthquake, or by a low frequency in the range of 0.1 to 50 Hz. It may include a MEMS sensor (micro electro mechanical systems sensor) capable of measuring the vibration of the intensity, and preferably, it may be used by introducing a three-axis vibration detection sensor.

The earthquake detection module 150 as described above transmits the vibration detection value detected in the monitoring target area from the management server 200 to be described later, and the vibration detection value detected in the management server 200 exceeds a preset range. In this case, it is possible to evaluate that an earthquake has occurred and to transmit a control signal that stops the supply of fuel gas to prevent the leakage of fuel gas, and by transmitting the event information to the individual terminal unit 300, the crisis situation It can be configured to correspond to.

In addition, the information collection unit 100 may be configured to further include an image capturing module 160.

The imaging module 160 is installed in a plurality of areas to be monitored to capture the area to be monitored, and to generate and transmit video images for pipes, pipe connectors, control valves, storage tanks, etc., and occur in the area to be monitored. It assists in evaluating whether gas leakage or fire has occurred.

To this end, the imaging module 160 may include a digital camera, a thermal imaging camera, or all of them that generate an image image for the area to be monitored.

Specifically, the digital camera takes the appearance of the gas supply pipe, the control valve, and the pipe connector, and when fuel gas leaks, searches for a leak point and photographs the corresponding point. Digital cameras can be used by introducing a digital camera for CCTV equipped with a CMOS or CCD image sensor composed of high-resolution pixels, and the digital camera for CCTV is operated by a user or zoom in/zoom out by an external signal. It may be a form capable of driving a lens such as, etc. In addition, a structure in which the body of the digital camera is coupled with a predetermined motor and driven in the up, down, left, and right directions by an external motor control signal may be used.

In particular, CCTV digital cameras can have various image signal formats such as RGB model, HSV model, YCbCr model, etc. for the received image information, and increase the resolution using luminance and color difference, which is caused by leakage of fuel gas. By photographing airflow, temperature difference, or flames, sparks, and combustion conditions due to the occurrence of fire, more accurate video image information for the area to be monitored can be transmitted to the management server unit 200.

Thermal imaging cameras use infrared detection to generate and collect thermal image data on the point where gas is leaked when gas is leaked in the area to be monitored, and such thermal image data is used when gas leaks from a pipe or storage tank. It is possible to collect a static image or a moving image image in which the vapor rapidly leaks due to a rapid temperature difference, and when a flame or spark occurs, a rapid temperature difference occurs, so that a thermal image indicating this can be obtained.

To this end, the thermal imaging camera captures an image of the area to be monitored, and can perform a role of dividing by specific wavelength including an infrared light source, and is configured to detect whether a fire or gas leak occurs by analyzing the acquired image. In addition, a gas distribution image displaying the distribution of a specific gas in the captured image may be generated.

In addition, the digital camera or thermal imaging camera provided in the image capturing module 160 is provided to be rotated in the up, down, left, and right directions, and gas leakage from the fuel gas detection sensor of the fuel gas detection module 110, When an abnormal situation such as an occurrence of a fire is detected, the management server unit 200 is configured to rotate the direction of the camera so that the point where the corresponding fuel gas detection sensor is located can be controlled to shoot the area to be monitored. have.

In addition, the information collection unit 100 may be configured to further include a label gas detection module 170.

The label gas detection module 170 is a component provided to accurately evaluate whether fuel gas has leaked, and serves to assist the fuel gas detection module 110 to accurately check whether the fuel gas has leaked in the area to be monitored. do.

The mark gas detection module 170 may include a plurality of mark gas detection sensors for detecting the mark gas, and preferably, the mark gas detection module 120 includes a nitrogen detection sensor and leaks from the gas supply pipe. Nitrogen gas can be detected, and a detailed description of the label gas will be described in detail in the label gas supply unit 400 to be described later.

In addition, the information collection unit 100 may be configured to additionally include a voice recognition module 180.

The voice recognition module 180 is a component that assists in accurately evaluating whether a fire occurs by recognizing voice in a commercial kitchen facility. It receives the voice of a worker using a commercial kitchen facility and converts it into a voice signal. It is determined whether the signal contains the event term stored in advance, and when it is determined that the event term is included in the operator's voice, a voice signal is transmitted to the management server 200 to accurately evaluate the fire that occurred in the commercial kitchen facility. The evaluation module 210 may receive a voice signal from the voice recognition module 180 and evaluate that a fire has occurred in a commercial kitchen facility.

To this end, the voice recognition module 180 has a structure including a microphone unit, a voice signal processing unit, and a voice storage unit.

Specifically, the microphone unit is installed in an area to be monitored in a commercial kitchen facility to receive and amplify the voice of a worker using a commercial kitchen facility, and to generate a voice signal.

The voice signal processing unit converts the voice input through the microphone unit into a voice signal, and determines whether an event term related to a fire is included in the voice signal of the operator based on data stored in the voice storage unit.

The voice storage unit stores event terms and includes information for identifying voices related to fire occurrence, and event terms related to fire may be words or sentences, and event terms may store information on voice setting contents, It may also contain information related to control voices for emergency control of commercial kitchen facilities.

More specifically, the voice signal processing unit compares the voice signal generated by the microphone unit with the event term stored in the voice storage unit, and generates a fire signal when the voice signal and the event term are matched or determined to match the communication network. Through the generated fire signal can be transmitted to the management server unit 200.

According to a preferred embodiment of the present invention, the voice signal processing unit checks whether or not a voice corresponding to an event term has been generated two or more times in a commercial kitchen facility, and only when a voice corresponding to the event term is received two or more times. It can be controlled to be transmitted to the management server unit 200.

Alternatively, it is determined whether or not the voice corresponding to the event term is repeatedly received two or more times within a preset time (e.g., 2 to 10 seconds), and fire occurs only if it is repeatedly received two or more times within a preset time. By generating a signal and transmitting it to the management server unit 200, it is possible to perform an auxiliary function for accurately evaluating the occurrence of fire. Through this configuration, the voice signal processing unit It can prevent misoperation caused by mischief or voice from TV, radio, etc., not from the operator's voice.

According to a preferred embodiment of the present invention, the voice signal processing unit may control the generation of the fire occurrence signal in consideration of the magnitude of the voice signal as well as whether or not the voice corresponding to the event term is input twice or more.

For example, the voice signal processing unit checks whether or not the voice signal corresponding to the event term is repeatedly received two or more times within a preset time (eg, 2 to 10 seconds), and one or more of the repeatedly received voice signals are It is possible to control to transmit a fire occurrence signal to the management server unit 200 only when it is determined that the voice is equal to or greater than a preset voice level. As the operator's voice generates sound waves, the characteristics of sound waves are defined as three elements: the strength of the sound (amplitude of the sound), the height of the sound (frequency of the sound), and the shape of the sound (shape of the sound wave). By measuring the strength of the voice, the loudness of the voice can be calculated.

Therefore, through the above configuration, when the operator unintentionally utters a word or sentence corresponding to the event term with a small voice during daily conversation rather than a loud voice shouting in an emergency situation, unintended transmission of a voice signal is prevented. It can be prevented more accurately.

The event term may include voice language related to fire such as'It's a fire!','It's on fire!','Fire!','Save people', and the like.

Fuel gas detection module 110, fire detection module 120, temperature detection module 130, sound detection module 140, earthquake detection module 150, image capturing module 160 and cover gas detection as described above Each module 170 includes an amplification unit that amplifies the analog data collected by the sensor, a low pass filter unit for removing data that is not related to the signal such as noise from the analog data amplified through the amplification unit, and a low pass filter. It may further include an analog-to-digital conversion unit (A/D converter) for converting the analog data filtered through the filter unit into digital data.

And, the fuel gas detection module 110, the cover gas detection module 120, the sound detection module 140, the fire detection module 140, the earthquake detection module 150, the image capturing module 160, the cover gas detection Each of the module 170 and the voice recognition module 180 may include an operation control unit that controls driving.

The above-described operation control unit receives a control signal transmitted through a communication network from the management server unit 200 to be described later, and receives the fuel gas detection module 110, the label gas detection module 120, the sound detection module 140, and fire detection. The operation of the module 140, the earthquake detection module 150, the image capturing module 160, the cover gas detection module 170, and the voice recognition module 180 may be controlled.

In addition, the operation control unit includes a fuel gas detection module 110, a cover gas detection module 120, an acoustic detection module 140, a fire detection module 140, an earthquake detection module 150, and image capture for each preset time interval. The module 160, the label gas detection module 170, and the voice recognition module 180 may also play a role of adjusting a transmission pattern so that the context information generated by the management server unit 200 can be transmitted.

Specifically, the operation control unit serves to set conditions for transmitting the context information collected by the information collection unit 100 to the management server unit 200, and a real-time streaming method, periodic transmission time, year·month· It is possible to transmit the collected situation information for each designated time unit by day and hour, and the management server unit 200 is configured to control the operation of the operation control unit, and conditions for transmitting event information may be changed.

Furthermore, the fuel gas detection module 110, the fire detection module 120, the temperature detection module 130, the sound detection module 140, the earthquake detection module 150, the image capturing module 160, the cover gas detection module ( 170) and the voice recognition module 180 each include a plurality of fixed sensors installed in the area to be monitored, and the installed sensors may include unique information including identification information for identifying each, an installation location, etc. In addition, it is possible to transmit the context information generated through the communication network, including each individually provided communication unit, to the management server unit 200.

In addition, the information collection unit 100 includes a fuel gas detection module 110, a fire detection module 120, a temperature detection module 130, an acoustic detection module 140, an earthquake detection module 150, and an image capture module 160. ), a power supply module 190 for supplying power to each of the label gas detection module 170 and the voice recognition module 180, and the power supply module 190 is connected by wire to supply power to each module Can be configured to Alternatively, the power supply module 190 may be a self-generating power supply module 190 that supplies power through a self-generation method using solar energy, vibration energy, wind energy, or mixed and introduced energy thereof. The power supply module 190 may include a storage battery for storing energy collected and stored from sunlight, vibration energy, wind energy, and the like.

Further, in the artificial intelligent commercial kitchen fire extinguishing system 10 according to the present invention, a communication section may include both a wired communication network and a wireless communication network, but it is preferable to employ a transmission/reception method through a wireless communication network.

On the other hand, the management server unit 200 monitors the area to be monitored using the situation information collected by the information collection unit 100, generates and transmits a control signal, and responds to a crisis situation by fuel gas leakage and fire. It serves to generate notification information on the occurrence and transmit it to the individual terminal unit 300 to be described later.

To this end, the management server unit 200 includes an evaluation module 210, and the evaluation module 210 receives the fuel gas detection value from the fuel gas detection module 110, and the fuel gas detection value is within a preset range. When it exceeds, the notification information on the fuel gas leakage is generated and the generated notification information is transmitted to the individual terminal unit 300.

In addition, the management server unit 200 receives the situation information transmitted from the information collection unit 100 and evaluates whether a fire has occurred, and when it is evaluated that a fire has occurred, generates a control signal in the gas supply pipe. It is possible to control to cut off the supply of fuel gas, to generate notification information on the occurrence of a fire, and to transmit the generated notification information to the individual terminal unit 300 to be described later so as to respond to a crisis situation.

To this end, the evaluation module 210 receives detection values for smoke, flame, and temperature from the smoke detection sensor and the flame detection sensor and the temperature sensor of the temperature detection module provided in the fire detection module 140, respectively, When the fire detection value exceeds the preset range, the notification information about the fire occurrence is generated in the area to be monitored, and the generated notification information is transmitted to the individual terminal unit 300, and at the same time, gas is supplied through the gas supply pipe. It is possible to cut off the gas supply by transmitting a control signal to block the gas supply, and it also transmits notification information to related organizations including the fire department to enable quick response to a crisis situation.

In addition, the evaluation module 210 checks the temperature detection value detected by the temperature detection module 130 at the same time in order to correct the error information due to the malfunction of the fire detection module 140, and the temperature changes rapidly in the area to be monitored. If it is confirmed that a fire has occurred, if it is confirmed that the temperature has not changed, it is evaluated as a result of a malfunction of the fire detection module, and the operation of the video recording module is controlled so that it can be accurately identified. And transmit the information to the administrator terminal.

In addition, the management server unit 200 receives the situation information transmitted from the information collection unit 100, evaluates whether fuel gas leaks, and calculates the life of the gas supply pipe, the control valve, and the pipe connector for accurate maintenance or It can be configured to transmit the generated information to the individual terminal unit 300 by calculating the replacement time.

To this end, the evaluation module 210 receives the acoustic detection value from the acoustic detection module 140, and when the acoustic detection value is greater than or equal to a preset threshold, gas leaks to a specific point of the gas supply pipe, the control valve, and the pipe connector. It is evaluated as, and assists the role of the fuel gas detection module 110 to generate notification information on fuel gas leakage, transmits the generated notification information to the individual terminal unit 300, and simultaneously generates a control signal. Thus, the supply of fuel gas can be cut off by controlling the control valve.

In addition, the evaluation module 210 receives the sound signal transmitted from the sound detection module 140, detects a signal for leaking sound, and converts the sound signal into a frequency domain waveform. A frequency component having an amplitude may be detected, and an amplitude between frequencies may be generated and provided as frequency information for a leaking sound, and the frequency information may include amplitudes for a plurality of frequencies.

Specifically, in the frequency information, sounds are generated differently according to the degree or amount of leakage of fuel gas, and frequency components and amplitudes appear differently according to the degree or amount of leakage of fuel gas. For example, as the size of the leaked portion of the fuel gas is smaller, the high-frequency component appears, and when the size of the leaked portion is large, the low-frequency component appears.

In addition, the amplitude of the leaking sound is also different according to the size or number of leaking parts, and the leaking sound that resonates according to the size and number of leaking parts also shows different values, and the level of leakage can be evaluated by evaluating this through frequency components and amplitudes. I can.

Using the same principle as described above, the evaluation module 210 compares the frequency component included in the frequency information of the generated sound based on the correlation graph stored in the storage module 230 to be described later to calculate a lifetime corresponding to the frequency component. And, it can be provided as the remaining life.

Alternatively, the storage module 230 may store a correlation graph of a preset pattern according to the correlation between the frequency amplitude and the lifetime, and the evaluation module 210 may store the amplitude of the frequency component included in the frequency information in advance in the storage module. The lifespan corresponding to the amplitude of the frequency component may be calculated in comparison with the correlation graph according to the correlation between the stored amplitude and the lifespan, and this may be provided as a residual life.

In addition, the evaluation module 210 may calculate the residual life in comparison with the correlation graph by using the amplitude of the maximum frequency and the maximum frequency among frequency components included in the frequency information.

Accordingly, the evaluation module 210 may evaluate whether replacement or maintenance is imminent by providing the remaining life of the pipe or the control valve using acoustic information including the leaking sound detected from the pipe or the control valve.

Further, the correlation graph stored in the storage module 230 may be configured to have a different pattern according to the structure of the pipe, the pipe connector or the control valve, environmental conditions, etc., and the acoustic sensor can determine the exact location including the unique identification information. Can be displayed. Since the remaining life can be defined as the difference between the total life and the elapsed time, the evaluation module 210 calculates the difference between the total life and the elapsed time according to the correlation graph, Lifespan can be correlated. In this case, the total lifespan may be preset differently according to the correlation graph.

In addition, the management server unit 200 receives the situation information transmitted from the information collection unit 100 and evaluates whether an earthquake has occurred, and when it is determined that an earthquake has occurred, it generates a control signal from the gas supply pipe. It is possible to control to cut off the supply of fuel gas and transmit the generated notification information to the individual terminal unit 300 to be described later so as to respond to a crisis situation.

To this end, the evaluation module 210 receives the vibration detection value detected by the earthquake detection module 150, and when the received vibration detection value exceeds a preset range and continues for a predetermined time or longer, an earthquake occurs in the area to be monitored. It evaluates to have occurred, generates notification information about earthquake occurrence in the area to be monitored, and transmits the generated notification information to the individual terminal unit 300, and at the same time, a control signal for blocking gas supply through the gas supply pipe is provided. It allows the gas supply to be cut off by transmitting it, and it enables to respond to crisis situations.

In addition, the management server unit 200, when it is evaluated that an event including a fuel gas leak, a fire, and an earthquake has occurred in the area to be monitored, the fuel gas detection module 110, the fire detection module 120, the temperature Errors generated due to malfunctions or malfunctions of the detection module 130, the acoustic detection module 140, and the earthquake detection module 150 may be corrected and checked.

Specifically, the evaluation module 210 provided in the management server unit 200 generates a control signal for controlling the image capturing module 160 when it is evaluated that a fuel gas leak, a fire, or an earthquake has occurred, and the generated control signal Is transmitted to the operation control unit of the image capturing module 160 through a communication network to control the operation of the image capturing module 160 to turn on or off, and receive image information through the image capturing module 160 to cause a fire. It is also possible to accurately assess whether it has occurred.

Specifically, the evaluation module 210 controls the operation of the image capturing module 160 so that the digital camera or the thermal imaging camera can shoot the area to be monitored. By driving, it is possible to control to photograph the area to be monitored, and whether fuel gas leaks, fires, or earthquakes occur can be checked again through the image capturing module 160, so that the malfunction of each module can be accurately determined.

In addition, the evaluation module 210 may receive the fire occurrence signal transmitted from the voice recognition module 180 to more accurately evaluate the fire occurrence, and even when the fire occurrence signal is received from the voice recognition module 180, the video recording module By allowing the operation of 160 to be controlled, it can be configured to more accurately evaluate whether a fire has occurred.

Further, the management server unit 200 enables the error due to the malfunction of the fuel gas detection sensor 110 to be checked in a short time, thereby accurately determining whether the fuel gas leaks, and preventing the transmission of error information.

To this end, the artificial intelligent commercial kitchen fire extinguishing system 10 according to the present invention may further include a cover gas supply unit 400, and the cover gas supply unit 400 is connected to one side of the gas supply pipe to provide a fuel gas supply pipe. It is a component that supplies the label gas inside.

Specifically, the mark gas supply unit 400 includes a mark gas storage tank for storing the mark gas, and the mark gas storage tank is connected to the fuel gas supply pipe, and the mark during the process of supplying the fuel gas through the fuel gas supply pipe. Gas can be injected.

In addition, the cover gas supply unit 400 receives a control signal from the evaluation module 210 of the management server unit 200 to turn on or off the driving of the cover gas storage tank to supply fuel gas. By including a control module for supplying the mark gas through the pipe, the mixture gas of the mark gas and the fuel gas may be transferred through the gas supply pipe.

At this time, the label gas detection module 120 provided in the information collection unit 100 serves to detect the mark gas supplied from the mark gas supply unit 400, and the mark gas detection module 120 is a fuel gas detection module ( As shown in 110), it is installed on the fuel gas supply pipe, the control valve, and the pipe connector, and serves to assist in accurately confirming whether the fuel gas is leaked by checking whether the mark gas is detected at the installed point.

More specifically, when the management server unit 200 evaluates that the fuel gas is leaking using the fuel gas detection value transmitted from the fuel gas detection module 110, the evaluation module 210 is the label gas supply unit 400 A control signal for turning on the driving of the signal is generated and transmitted to the label gas supply unit 400, and the label gas supply unit 400 receiving the control signal supplies the mark gas to the gas supply pipe to supply the mark gas and the mark gas to the fuel gas supply pipe. Allows the mixed gas of fuel gas to be transferred. When the mixed gas transferred through the fuel gas supply pipe leaks along with the fuel gas at the point where the mark gas leaks on the fuel gas supply pipe, the evaluation module 210 when the mark gas is detected through the mark gas detection module 120 It accurately senses that a gas leak has occurred, generates notification information and transmits it to the individual terminal unit 300, and at the same time, generates a control signal to control the control valve to cut off the supply of fuel gas. Accordingly, the management server unit 200 can accurately evaluate whether or not the fuel gas is leaking, so that it is possible to more accurately detect the gas leak.

Alternatively, when it is confirmed that the label gas is not detected through the label gas detection module 120, the management server unit 200 evaluates that the fuel gas detection module 110 has malfunctioned and indicates that the fuel gas is not leaking. It evaluates, generates a malfunction information signal and transmits the corresponding signal to an administrator terminal to be described later to transmit notification information for repairing the fuel gas detection module 110.

The label gas supplied through the label gas supply unit 400 can be used by introducing a stable gas even when mixed with fuel gases such as LPG and LNG, and inert gases such as nitrogen gas, helium gas, neon gas, and argon gas. It can be used as a labeling gas, and preferably, it can be configured to ensure accuracy of detection by supplying argon gas or nitrogen gas.

In addition, the labeling gas may be configured to check whether a gas leak is more accurate by allowing the use of a mixed labeling gas containing both a stable element and a radioactive isotope, and nitrogen containing ¹⁵ N ₂ isotopes and ¹⁴ N ₂ It may be configured to supply gas or argon gas containing ⁴⁰ Ar or ³⁶ Ar.

The label gas supply unit 400 can supply the label gas to the fuel gas supply pipe at a concentration of 0.01 to 100,000 ppm, and it is preferable to supply the label gas in a range that does not significantly affect the combustion of the fuel gas, and the fuel gas is excessively supplied. In this case, there may be a problem that the combustion power is slightly lowered temporarily. More preferably, the labeling gas supply unit 400 may supply the labeling gas at a concentration of 100 to 10,000 ppm.

On the other hand, the management server unit 200 may include a storage module 230, and the storage module 230 includes situation information collected by the information collection unit 100 and fuel gas leakage, fire, earthquake, and malfunction. Event information can be saved and event information stored in individual terminals can be provided, and information such as preset fuel gas detection value, fire detection value, temperature detection value, vibration detection value, correlation graph, etc. can be stored, and evaluation module In 210, it can play a role of providing necessary information when requested.

On the other hand, the individual terminal unit 300 is a component to receive the notification information generated by the management server unit 200 to monitor the situation of the business, commercial kitchen facilities including the area to be monitored, in particular, fuel gas It includes a common terminal 310, a user terminal 320, and a manager terminal 330 in a place where a heating means such as a gas stove is installed.

The individual terminal unit 300 may include a personal PC, a notebook, a personal digital assistant (PDA), a smart phone, a smart watch, a tablet PC, and an iPad. , Or, information communication of a terminal type such as IMT-2000 (international mobile telecommunication 2000), WCDMA (wideband code division multiple access), GSM/GPRS (global system for mobile communication packet radio service), and UMTS (universal mobile telecommunication service) It includes devices or multimedia devices, and can download and use data or run built-in applications.

In the individual terminal unit 300, the common terminal 310, the user terminal 320, and the manager terminal 330 may each have an application installed so as to receive a monitoring service for the gas supply facility of the business. In addition, the application can be used to remotely monitor commercial kitchen facilities.

In addition, the individual terminal unit 300 may remotely manage commercial kitchen facilities by additionally including a control means capable of separately controlling fire extinguishing facilities and gas supply facilities to enable immediate response and prevention of safety accidents.

In addition, the individual terminal unit 300 may additionally include a related institutional terminal, and the related institutional terminal may be, for example, a PC that is always provided at a fire station, a police station, etc., and gas leakage and fire occurrence in a commercial kitchen facility. If it is determined that the event of the event has occurred, it can be configured to take immediate action.

The artificial intelligent commercial kitchen fire extinguishing system 10 according to the present invention as described above enables accurate diagnosis of gas leaks and fire occurrences occurring in commercial kitchen facilities, and controls the supply of fuel gas and suppresses fire with an artificial intelligence type. It is possible to control the operation of the fire extinguishing equipment, so immediate response and prevention of safety accidents are managed.

In addition, a means for supplying a label gas and a means for detecting are additionally provided, so that errors generated due to malfunction of the fuel gas detection sensor can be corrected, so that the leakage of fuel gas can be accurately evaluated.

In addition, the artificial intelligent commercial kitchen fire extinguishing system 10 according to the present invention can monitor situation information on risk factors such as earthquakes in real time in addition to gas leakage and fire occurrence, as well as replacement timing or maintenance of gas supply facilities. Since it is possible to identify the timing, it is possible to integrate and manage commercial kitchen facilities.

The detailed configuration of the artificial intelligent commercial kitchen fire extinguishing system 10 as described above (for example, detection of fuel gas and nitrogen gas leakage, detection of fire occurrence, vibration detection, detection information analysis, communication, and information collection and evaluation) In the configuration), various configurations for controlling the operation of the device and communication with other configurations constituting the system, information storage, authentication, control, processing, etc. are included, but for clear explanation of the present invention, the technical of the present invention Except for the core configuration that includes ideas, the description of detailed configurations will be omitted.

10: Artificial intelligence commercial kitchen fire extinguishing system
100: information collection unit 200: management server unit
300: individual terminal unit 400: label gas supply unit

Claims (5)

An information collection unit for generating situation information including fuel gas leaks, fire occurrences, and temperature changes occurring in a monitored area including a fuel gas detection module, a fire detection module, and a temperature detection module, and transmitting them through a communication network;
Management that monitors the area to be monitored using the situation information collected by the information collection unit, generates and transmits a control signal for controlling the information collection unit, and generates and transmits notification information on fuel gas leakage and fire occurrence Server unit; And
Including; individual terminal unit receiving the notification information generated by the management server unit,
The management server unit,
The fuel gas leak occurring in the area to be monitored is monitored by using the situation information collected by the fuel gas detection module, and when the fuel gas detection value detected by the fuel gas detection module exceeds a preset range, the fuel gas leakage occurs. It is evaluated as occurring, and if it is evaluated that a fuel gas leak has occurred, a control signal that blocks the supply of fuel gas is generated and transmitted
Fires occurring in the area to be monitored are monitored using the situation information collected by the fire detection module and the temperature detection module, and the fire detection value detected by the fire detection module and the temperature detection value detected by the temperature detection module are preset. If it exceeds the range, it is evaluated as having a fire, and if it is evaluated that a fire has occurred, a control signal that controls the fire extinguishing facility to extinguish the fire is generated and transmitted.
The information collection unit
A sound detection module including acoustic sensors installed on the gas supply facility to detect the leakage sound of the fuel gas and then generate sound detection values and location information for the detected leakage sound to transmit to the management server unit; and,
The management server unit further includes an evaluation module,
The evaluation module,
Receives the acoustic signal transmitted from the acoustic detection module and generates a frequency and amplitude for the leaking sound,
Analyzing the high-frequency component and the low-frequency component and amplitude from the frequency and amplitude of the leaking sound, extracting the size, number, or amount of gas leakage to evaluate the degree of gas leakage,
The artificial intelligence commercial kitchen fire extinguishing system, characterized in that configured to calculate the remaining life of the gas supply equipment by comparing the frequency and amplitude of the leakage sound with a correlation graph with the life of the gas supply equipment. The method of claim 1,
The temperature detection module,
Artificial intelligence commercial kitchen fire extinguishing system, characterized in that it comprises a plurality of temperature sensors installed for each division in the monitoring target area and malfunction detection means for detecting malfunction of the temperature sensor. The method of claim 1,
The information collection unit,
An artificial intelligent commercial kitchen fire extinguishing system, characterized in that it further comprises at least one of an earthquake detection module or an imaging module. The method of claim 1,
The information collection unit, artificial intelligence commercial kitchen fire extinguishing system, characterized in that further comprises a voice recognition module. The method of claim 1,
The artificial intelligent commercial kitchen fire extinguishing system,
A label gas supply unit that supplies a label gas to the fuel gas supply pipe, and
Artificial intelligence commercial kitchen fire extinguishing system, characterized in that it further comprises a mark gas detection module for detecting the mark gas.

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