Immediate disaster-response unmanned robot system using artificial intelligence, based on IoT and disaster, fire and crime prevention safety network

Abstract

The present invention relates to an immediate disaster-response unmanned robot system using artificial intelligence for disaster and fire detection and crime prevention and, more specifically, to an immediate disaster-response unmanned robot system comprising: a detection sensor for generating a detection signal for fire or crime prevention by using at least one arbitrary sensor module; control panels which receive, through a wireless network, the detection signal generated from the detection sensor, and which analyze the received detection signal so as to determine whether a fire has broken out or crime prevention measures are required; a remote control server which identifies and controls the position and state of the control panel, and which receives, through a wired or wireless gateway connected to the plurality of control panels, determination results determined by the plurality of control panels; and a robot which links data with the detection sensor, the control panels and the remote control server through a wired network or a wireless network, and which performs necessary measures for disasters, fires and crime prevention on the basis of the linked data.

Description

An unmanned robot system for immediate disaster response using artificial intelligence based on IoT and a safety net for disaster fire and crime prevention. The present invention relates to an unmanned robot system for immediate disaster response using artificial intelligence for disaster and fire detection and crime prevention, and more particularly, to an unmanned robot system for immediate disaster response, characterized in that it comprises: a detection sensor that generates a detection signal for fire or crime prevention using at least one arbitrary sensor module; a control panel that receives the detection signal generated from the detection sensor via a wireless network and interprets the received detection signal to determine whether a fire has occurred or whether crime prevention measures are necessary; a remote control server that identifies and controls the location and status of the control panels and receives the determination results determined from a plurality of control panels via a wired or wireless gateway connected to the plurality of control panels; and a robot that mutually links data between the detection sensor, the control panel, and the remote control server via a wired or wireless network, and performs necessary measures for disaster, fire, and crime prevention based on the linked data. In general, in crowded places such as subway stations, department stores, public facilities, and apartments, when there is a sudden power outage or fire, people inside the building have difficulty finding an evacuation route due to the complex internal structure of the building, so they often panic and end up in a state of confusion, which can lead to a huge loss of life in an instant. In particular, unlike in the case of a power outage in an apartment, when a fire breaks out or a gas leak occurs indoors, it is often difficult to quickly and effectively notify neighbors of the fire due to soundproof walls or other obstacles to voice transmission, so they are unable to take appropriate measures and often suffer damage without realizing it. As a conventional method to solve these problems, Korean Patent No. 0440565 proposes an alarm device that installs temperature, illuminance, and smoke detection sensors on a portable emergency light to detect fire and activates a warning device such as a strobe light when a fire breaks out, thereby allowing evacuees to quickly know the location of the portable emergency light and evacuate promptly. The system disclosed in this registered patent had an application limitation in that it could only guarantee effective operation within the range in which the sensors mounted on the device could detect the occurrence of fire. Therefore, the system had the disadvantage of being unable to respond appropriately to fires (gas leaks) occurring far from the device's installation location, and it was impossible to detect gas leaks indoors. Furthermore, it had the additional limitation of not being able to prevent intruders from entering. In addition, in Korean Patent No. 0642220, a home network light control device having a built-in fire detection means is proposed, which comprises a power supply unit for supplying power, a light control unit for controlling the on / off of a light, a fire detection unit for monitoring whether there is a fire in the room and measuring the temperature of the room, an alarm device for generating an alarm sound when a fire is detected in the room by the fire detection unit, a Zigbee communication module for receiving a wireless control signal from a remote control and performing wireless communication including transmitting and receiving a fire occurrence signal with a home manager and other light control devices installed in each room, and a microprocessor for controlling the operation of the light control unit, the power supply unit, the fire detection unit, the alarm device, and the Zigbee communication module, thereby notifying the time of a fire occurrence in the home and the outside of the home so as to enable the early extinguishment of the fire, thereby protecting life and property from fire. However, this had the problem that the entire system did not operate properly because it was difficult to drive the microprocessor that controls the operation of the light control unit, power unit, fire detection unit, alarm device, and Zigbee communication module when the power connection was cut off due to a power outage in the event of a fire, as there was no auxiliary power source, and it had the limitation of application in that it could only guarantee effective operation within the range in which the sensors within the device could detect the occurrence of a fire. Accordingly, it is impossible to expect appropriate operation for a fire that occurs at a certain distance from the location where the alarm device is installed, and even if it is adjacent in terms of distance, in the event of a fire in a structure made of concrete, iron, or glass, there is no effective way to convey the danger situation from inside the structure to outside the structure or from outside the structure to inside the structure. In particular, in the case of a fire in a glass structure, such as the Daegu subway fire, there was no appropriate device to safely break the glass and escape without bodily harm, so there were limitations as a device for emergency evacuation. Furthermore, the Korean Patent No. 0642220, like the Korean Patent No. 0440565, had the limitation of not being able to prevent intruders from entering. Therefore, in order to solve the above-mentioned problems of the related art, the inventor of the present invention has invented a social safety net system equipped with a portable light for both wireless disaster fire detection and crime prevention as disclosed in Korean Patent Publication No. 10-1803806, through which fire, disaster, and crime prevention situations are detected based on a wireless communication network, lighting is provided to enable viewing of the disaster and fire situations, a photograph of the scene is transmitted to a remote control server so that it can be monitored from a control room, and warnings or alarms are issued for fire, disaster, and crime prevention situations, thereby enabling effective management of various fire, disaster, and crime prevention situations. However, there is a constant need to improve the social safety net system of the Republic of Korea Patent Publication No. 10-1803806, as mentioned above, as there is concern that it may be difficult to respond immediately to disasters, fires, and crimes when management personnel or firefighters are absent from the scene. The present invention was created to solve the above-described problems of the prior art, and provides a configuration of an unmanned robot system for immediate disaster response for disaster and fire detection and crime prevention, which includes a robot capable of immediately responding to disaster, fire, and crime situations when management personnel or firefighters are absent from the scene of a fire or crime situation. In order to achieve the technical task described above, the present invention provides an instant disaster response unmanned robot system for disaster and fire detection and crime prevention, comprising: a detection sensor that generates a detection signal for fire or crime prevention using at least one arbitrary sensor module; a control panel that receives the detection signal generated from the detection sensor via a wireless network and interprets the received detection signal to determine whether a fire has occurred or whether crime prevention measures are necessary; a remote control server that identifies and controls the location and status of the control panels and receives the determination results determined from a plurality of control panels via a wired or wireless gateway connected to the plurality of control panels; and a robot that mutually links data between the detection sensor, the control panel, and the remote control server via a wired or wireless network, and performs necessary measures for disaster, fire, and crime prevention based on the linked data. The instant disaster response unmanned robot system for disaster and fire detection and crime prevention of the present invention having the above configuration obtains the effect of being able to quickly stop the spread of damage from disasters, fires, and crimes by enabling a robot connected to a detection sensor, a control panel, and a remote control server to receive information on the occurrence of disasters, fires, and crime prevention situations and instructions on how to respond thereto from the detection sensor, the control panel, and the remote control server, or to recognize the occurrence of disasters, fires, and crime prevention situations on its own through a sensor unit mounted on the robot and to quickly respond to the recognized situation based on the recognized situation. In addition, the instant disaster response unmanned robot system of the present invention exhibits the effect of being able to actively deal with risks in daily life anytime and anywhere. Figure 1 is a configuration diagram of an immediate disaster response unmanned robot system for disaster and fire detection and crime prevention of the present invention (hereinafter referred to as the “immediate response system”). Figure 2 is a connection status diagram of the instant response system of the present invention on a network. Figure 3 is a block diagram of a detection sensor of the immediate response system of the present invention. Figure 4 is a block diagram of the control panel of the immediate response system of the present invention. Figure 5 is a block diagram of a robot of the immediate response system of the present invention. Hereinafter, embodiments disclosed in this specification will be described in detail with reference to the attached drawings. Regardless of the drawing numbers, identical or similar components will be given the same reference numbers and redundant descriptions thereof will be omitted. In describing the embodiments disclosed in this specification, if it is determined that a detailed description of a related known technology may obscure the gist of the embodiments disclosed in this specification, the detailed description is omitted. In addition, the attached drawings are only intended to facilitate easy understanding of the embodiments disclosed in this specification, and the technical ideas disclosed in this specification are not limited by the attached drawings, and should be understood to include all modifications, equivalents, or substitutes included in the spirit and technical scope of the present invention. In addition, terms such as “include,” “have,” or “arrange” disclosed in the following examples should be understood to mean that the corresponding component may be included, unless specifically stated to the contrary, and should not be understood to exclude other components but rather to include other components. In addition, the interior space of a building described throughout this specification is a concept that includes not only underground parking lots, the interior and corridors of buildings separated by partition walls, and doors and windows within the buildings, but can also be understood to mean the interior or underground space of all collective buildings, such as public institutions, apartments, officetels, multi-family housing, large buildings, multi-use facilities, underground subway stations, lodging facilities, schools, churches, temples, universities, gymnasiums, and passenger terminals. However, it is not limited to the examples described above. FIG. 1 is a configuration diagram of an immediate disaster response unmanned robot system for disaster and fire detection and crime prevention of the present invention (hereinafter referred to as “immediate response system”), and FIG. 2 is a connection status diagram of the immediate response system of the present invention on a network. As illustrated in FIG. 1, the immediate response system of the present invention includes a detection sensor (100), a control panel (200), a remote control server (300), and a robot (400) to establish a social safety net for fire detection, gas leak, and crime prevention. The immediate response system of the present invention comprises: a detection sensor (100) that generates a detection signal for fire or crime prevention using at least one arbitrary sensor module; a control panel (200) that receives the detection signal generated from the detection sensor (100) via a wireless network and interprets the received detection signal to determine whether a fire has occurred or whether crime prevention measures are necessary; a remote control server (300) that identifies and controls the location and status of the control panel (200) and receives the determination results determined by the plurality of control panels (200) via a wired or wireless gateway connected to the plurality of control panels (200); and a robot (400) that mutually links data between the detection sensor (100), the control panel (200), and the remote control server (300) via a wired or wireless network and performs necessary measures for disaster, fire, and crime prevention based on the linked data. Hereinafter, the immediate response system (1) of the present invention will be described in more detail. Referring to each drawing, the immediate response system (1) of the present invention can connect a detection sensor (100) and a plurality of control panels (200) through a wireless network (101), and a plurality of control panels (200) and a remote control server (300) are connected through a wired or wireless gateway (103). Additionally, it is connected through a wireless network that enables routing between multiple control panels (200). The above wireless network is Wireless LAN, Wi-Fi (

[0069] It can be a short-range communication such as Wi-Fi, Bluetooth, Zigbee, WFD (WiFi Direct), and UWB (ultra wideband). The above detection sensor (100) can be placed in a location requested by the user, for example, inside a building (a home) separated by a partition wall and on a window or door inside the building, and further, can be placed in a location such as an underground parking lot and a hallway inside the building. The locations shown here are just examples, and can be installed anywhere where fire, gas leak, and intrusion prevention are required. The above detection sensors (100) can be arranged at regular intervals from each other to fit within the coverage area of ​​a wireless network (101) that can be covered by a plurality of control panels (200) to be described later. For example, one control panel (200) may be placed on each floor of a building, and multiple detection sensors (100) may be placed on each floor of the building that can be covered by the one control panel (200), and in places where the wireless network (101) environment is not good, multiple control panels (200) may be placed on each floor of the building. Furthermore, a wireless network (102) capable of routing can be connected between multiple control panels (200). For example, a wireless network (102) capable of routing can be connected between a first control panel (210) that recognizes a detection signal generated from an arbitrary detection sensor (100) and generates an emergency state (the first control panel (210) has the same configuration and function as the control panel (200) described above and is referred to as the first control panel for convenience of explanation) and the remaining control panels (220) hierarchically connected thereto through a wireless network (the remaining control panels (220) have the same configuration and function as the control panel (200) described above and are referred to as the remaining control panels for convenience of explanation). Accordingly, the remaining control panels (220) can also receive the emergency status determined by the first control panel (210) through the wireless network (102) of the routing function and issue an emergency status when necessary. For example, a plurality of remaining control panels (220) are arranged adjacent to the first control panel (210), but are within a range that is routed to the first control panel (210) via a wireless network (102), and can receive abnormal conditions, etc. determined by the first control panel (210) through routing. Additionally, the remote control server (300) can be connected to multiple wireless intelligent control panels (200) via a wired or wireless gateway (103). Accordingly, the remote control server (300) can control or control multiple wireless intelligent control panels (200) through a wired or wireless gateway (103), and can receive the judgment result determined from the first control panel (210) in real time or at any time to consider issuing an emergency status, etc. Here, the received judgment result may be information related to an emergency situation judgment requiring urgent rescue and prevention, such as a fire, a gas leak, or an intruder intrusion. For example, an emergency assessment might include where and when a fire, gas, or intruder intrusion occurred. Furthermore, if the judgment result received from the first control panel (210) is abnormal, the remote control server (300) can receive and output image information from a camera (104) placed around any detection sensor (100) located around the location where the fire occurred or the location where the abnormal sound occurred. The received image information from the camera (104) can be used as a means to more accurately confirm whether a fire has actually occurred, and as a means to confirm whether an intruder is actually present in the building space. In addition, the immediate response system of the present invention includes a robot (400) connected to the detection sensor (100) and the control panel (200) through a wired network or a wireless network. The above wired or wireless network is LAN, Wireless LAN, Wi-Fi (

[0069] It can be a short-range communication among Wi-Fi, Bluetooth, Zigbee, WFD (WiFi Direct) and UWB (ultra wideband). The above robot (400) is an emergency response tool that can immediately respond to disaster, fire, and crime situations when management personnel or firefighters are absent from the scene in the event of a fire or crime situation, and is a robot that can take measures to prevent the spread of damage from disaster, fire, and crime at the scene until personnel capable of taking action arrive at the scene. In addition, it is preferable that the robot (400) be able to respond immediately to disaster, fire, and crime situations based on artificial intelligence, and the configuration of the robot (400) in more detail will be described later. FIG. 3 is a block diagram of a detection sensor of the immediate response system of the present invention, FIG. 4 is a block diagram of a control panel of the immediate response system of the present invention, and FIG. 5 is a block diagram of a robot of the immediate response system of the present invention. The above detection sensor (100) can detect actions related to the occurrence of fire, gas leakage, and intruder detection through at least one arbitrary detection sensor (100) placed in the locations described in the aforementioned FIG. 1, such as an underground parking lot, the interior of a building and a corridor separated by a partition wall, and an interior space of a building including an entrance door and a window within the building, and as a result, can generate a unique detection signal for each. To this end, as shown in the block diagram of the detection sensor of FIG. 3, the detection sensor (100) may include a voice detection sensor module (111), a human body detection sensor module (112), a light detection sensor module (113), a temperature detection sensor module (114), a smoke detection sensor module (115), a gas detection sensor module (116), an impact detection sensor module (117), and a contact detection sensor module (118). The above-mentioned voice detection sensor module (111) is placed in the underground parking lot, inside the building, and in the hallway, and can recognize the voice of a person inside the building and generate a voice surveillance signal. The generated voice surveillance signal can be used to analyze the voice of an intruder and determine whether or not an intruder has entered the building. The above human body detection sensor module (112) is placed on a door and a window, and can detect an intruder who has entered through the door and window and generate an intruder detection signal. For this purpose, the human body detection sensor module (112) may be an infrared sensor that detects an intruder (person) who has entered through a window through infrared rays, or a weight detection sensor that detects the weight of an intruder (person) who has entered through a window. Normally, when an intruder tries to enter through a window, he or she must open the window or enter the building with a bright light, so a weight detection sensor is very useful in detecting this. Accordingly, intruders descending from gas pipes or rooftop ropes or entering through arbitrary windows can be effectively identified using infrared or weight sensors, generating an intruder detection signal. This intruder detection signal can be used to determine whether an intruder has entered. The above-mentioned light detection sensor module (113) is placed in an underground parking lot, inside a building, and in a hallway, and can detect the amount of light present in the interior space of the building and generate a light detection signal. The generated light detection signal can be used to determine whether or not a power outage has occurred. The above temperature detection sensor module (114) is placed in an underground parking lot, inside a building, and in a hallway, and can detect the temperature of the interior space of the building and generate a temperature detection signal. The generated temperature detection signal can be used to determine whether a fire has occurred. The above smoke detection sensor module (115) is placed in an underground parking lot, inside a building, and in a hallway, and can detect smoke generated within the building's interior space and generate a smoke detection signal. The generated smoke detection signal can be used to determine whether a fire has occurred. The above gas detection sensor module (116) is placed in an underground parking lot, inside a building, and in a hallway, and can detect gas leaks occurring in the interior space of a building and generate a gas detection signal. The generated gas detection signal can be used to determine whether a gas leak has occurred. The above shock detection sensor module (117) can detect the degree of shock generated from the door and generate a shock detection signal when the door is not a window. Normally, normal entry attempts, such as entering a password or using a key, do not inflict significant damage to the door. However, attempts to force the door open by breaking it open in an abnormal manner inflict significant damage. Therefore, a shock detection sensor module can detect the various types of shock conditions mentioned above and generate a shock detection signal. This shock detection signal can be used to determine whether an intruder has entered. The above-mentioned contact detection sensor module (118) can detect the moment the door opens and generate a time detection signal that counts the time. The generated time detection signal can be used to determine whether an intruder has entered. The detection signal generated by each detection sensor module included in the detection sensor (100) of the present invention configured as described above is transmitted to the control panel (200) and used as data for judgment and response to fire, disaster, and crime prevention. Next, referring to FIG. 4, the control panel (200) includes an abnormal condition judgment unit (201), an alarm issuing unit (202), an LED lighting unit (203), an LED operating unit (204), a charging unit (205), and a wireless communication unit (206). The above abnormal condition judgment unit (201) receives a detection signal generated from an arbitrary detection sensor (110) through a wireless network, interprets the received detection signal, and determines or combines the detection signal to determine whether a fire has occurred, whether a gas leak has occurred, and whether an outsider has intruded. For example, the above-mentioned abnormal state judgment unit (201) can judge (interpret) whether an intruder detection signal received from at least one of an infrared detection sensor or a weight detection sensor of a human body detection sensor module (112), an impact detection sensor module (117), and a contact detection sensor module (118) is outside a preset intrusion condition range, and if it is within the intrusion condition range, can generate an abnormal state of occurrence of an intruder. At this time, the intrusion condition range is predefined information for comparison with an intruder detection signal received from at least one of the aforementioned sensors, and may vary depending on the type of the aforementioned sensor. For example, in the case of an infrared detection sensor of the human body detection sensor module (112), the intrusion condition range may indicate the presence or absence of infrared detection or the infrared detection time range, and in the case of a weight detection sensor of the human body detection sensor module (112), the intrusion condition range may indicate the weight range applied to the window. In addition, in the case of an impact detection sensor module (117), the intrusion condition range may refer to a range of impact sizes applied to a window, and in the case of a contact detection sensor module (118), the intrusion condition range may refer to a range of times when the door is open. In addition, the above abnormal state judgment unit (201) can judge (interpret) whether the voice detection signal received from the voice detection sensor module (111) is outside the preset intrusion condition range, and if it is within the intrusion condition range, it can be considered as an intruder occurrence state. At this time, the intrusion condition range may be phrases that can be recognized as the intruder's voice, such as "Please save me!!" and "Please help me." If the received voice detection signal corresponds to the phrases mentioned above, it can be recognized that the intruder is attempting to kidnap a person inside a building or in an underground parking lot. In addition, the above abnormal state judgment unit (201) combines fire detection signals received from the light detection sensor module (113), the temperature detection sensor module (114), and the smoke detection sensor module (115) and judges (interprets) whether these combinations are outside the preset fire risk range, and if they are within the preset fire risk range, it can be considered a fire outbreak state. The fire hazard range mentioned may refer to the illuminance value range corresponding to a power outage state, the temperature value range corresponding to a fire state, and the smoke value range corresponding to a fire state. In this case, the abnormal state judgment unit (201) may consider a fire occurrence state when the fire detection signal received from the light detection sensor module (113) is within a preset light value range and the fire detection signal received from the temperature detection sensor module (114) is within a preset temperature value range. In addition, the above abnormal condition judgment unit (201) may judge (interpret) the gas detection signal received from the gas detection sensor module (116) and, if it is within a preset gas risk range, may consider it as a gas leak occurrence state. The mentioned gas risk range may generally mean a widely known gas leak range. The above alarm issuing unit (202) issues an alarm in the form of a voice in accordance with the situation corresponding to at least one of the following: fire occurrence, intruder occurrence, and gas leak occurrence, if at least one of the following is abnormal: fire occurrence, intruder occurrence, and gas leak occurrence. For example, the alarm issuing unit (202) interprets an intruder detection signal received from a human body detection sensor module (112), an impact detection sensor module (117), or a contact detection sensor module (118), and if the signal is within a preset intrusion condition range, issues an alarm in the form of a voice message to notify the intruder or a message to warn the intruder, and can also transmit the issued alarm to a remote control server (300) via a wired or wireless gateway (103). In addition, the alarm issuing unit (202) interprets the voice detection signal received from the voice detection sensor module (111) and, if it is within a preset intrusion condition range, and combines and interprets the fire detection signals received from the light detection sensor module (113), the temperature detection sensor module (114), and the smoke detection sensor module (115), and if these combinations are within a preset fire hazard range, issues an alarm in the form of a voice message including a fire occurrence message, an evacuation guidance message, and a message indicating the location of a personal fire extinguisher to be described later, and transmits this to a remote control server (300) via a wired or wireless gateway (103). In addition, the alarm issuing unit (202) interprets the gas detection signal received from the gas detection sensor module (116) and issues an alarm in the form of a voice message indicating a gas leak when the gas is within a preset gas risk range, and transmits the alarm to a remote control server (300) via a wired or wireless gateway (103). In order to issue the aforementioned voice-type alarm, the alarm issuing unit (202) may include a voice signal circuit that generates a voice signal and a speaker that outputs the voice signal transmitted from the voice signal circuit. In addition, if the aforementioned LED lighting unit (203) determines that the occurrence of a fire is abnormal, it can use the charged voltage to light or turn on the LED lamp it has. Since a fire usually causes a power outage, it can be used to safely evacuate evacuees. In addition, if the occurrence of a fire is abnormal, the LED operating unit (204) can use the charged voltage to identify the location of the portable light (217) provided therein and the personal fire extinguisher (218) placed around an arbitrary detection sensor (110) through a wireless network, and can turn on or light the LED lamp (219) provided in the portable light (217) and the personal fire extinguisher (218). Here, whether a fire has occurred may include not only the intensity of the fire but also whether there is a power outage. In addition, the charging unit (205) can charge and accumulate voltage supplied from the outside in normal conditions, and as described above, in abnormal cases, such as when a fire occurs, supply the charged voltage to the LED lamp (219) so as to light or turn on the LED lamp (219) provided on the front of the control panel (210). In addition, the charging unit (205) can supply additional voltage charged to the portable lighting lamp (217) provided on the front of the control panel (210) to turn on or illuminate the portable lighting lamp (217) in the event of an abnormality, such as a fire, as described above. In addition, the wireless communication unit (206) is connected to the first control panel (210) via a wireless network including a routing function, and is connected to the portable light (207) via a wireless network, such as Zigbee communication, to recognize the location of the portable light (207) when the portable light (207) is detached from the first control panel (210), and can support a communication interface that connects to the remote control server (300) via a gateway so that not only the recognized location of the portable light (207) but also the determined judgment result, etc., are transmitted to the remote control server (300). Therefore, the control panel (200) of the embodiment of the present invention issues an alarm or lights up or turns on various types of LED lamps (209) in response to at least one of a fire occurrence state, an intruder occurrence state, and a gas leak occurrence state, thereby indicating the location of a portable light (207) and a personal fire extinguisher (208) and brightly illuminating the building space for evacuees in the event of a power outage, thereby enabling safe evacuation and extinguishing fires at an early stage, and various other effects can be obtained. In addition, preferably, the control panel (200) of this embodiment of the present invention provides wireless detection, recognition and awareness functions, provides lighting to recognize disaster and fire situations, can transmit captured images using CCTV, etc., can transmit various data to a control room or management room, can simultaneously receive warning and warning signals via wireless, has a function of adjusting a lever attached to the double-cock part of a water pipe to the left, can extinguish a fire detected by the use of a personal sprayer within 30 seconds, can track the collapsed location of a building where a person is in distress, and is preferably equipped with a dedicated fire extinguisher capable of extinguishing a lithium-ion battery fire (especially, in the case of a control panel (200) for a lithium-ion battery production plant, an underground parking lot, an electric vehicle charging station, an electric vehicle production plant, etc.). Figure 5 is a block diagram of a robot of the immediate response system of the present invention. Referring to FIG. 5, the robot (400) of the present invention is a robot (400) that performs the function of interlinking data with the detection sensor (100), the control panel (200), and the remote control server (300) through a wired or wireless network, and, based on this, preventing the spread of damage from disasters, fires, and crimes until personnel capable of taking action against disasters, fires, and crime prevention arrive at the site, and further suppressing disasters, fires, and crimes in the early stages. To this end, the robot (400) of the immediate response system of the present invention may include a control unit (410), a sensor unit (420), a digestion unit (430), an ignition unit (440), and a driving unit (450). The above control unit (410) receives information on the occurrence of disasters, fires, and crime prevention situations and instructions on how to respond thereto from the above-described detection sensor (100), control panel (200), and remote control server (300), and performs the control necessary to respond to disasters, fires, and how-to situations. In addition, the control unit (410) independently recognizes the occurrence of disaster, fire, and crime prevention situations through the sensor unit (420) mounted on the robot (400), and performs necessary control to respond to disaster, fire, and crime prevention situations according to the recognized situation. To this end, the robot (400) of the instant response system of the present invention as described above uses a judgment technique, preferably an artificial intelligence (AI) judgment technique, to recognize the situation when a disaster, fire, or crime situation occurs and immediately respond to the recognized situation. The above robot (400) performs machine learning on disaster, fire and crime situations, and when a disaster, fire and crime situation with a pattern identical to or similar to the learned disaster, fire and crime situation is recognized, it recognizes it as a disaster, fire and crime situation, and responds to the disaster, fire and crime situation using a method learned by artificial intelligence. As an algorithm for a machine learning method using such artificial intelligence techniques, for example, known algorithms such as SVM (Support Vector Machine), KNN (K-Nearest Neighbor), and Random Forest, or known deep learning algorithms based on artificial neural networks (ANNs) such as DNN (Deep Neural Network), CNN (Convolutional Neural Network), and RNN (Recurrent Neural Network) can be used. Specifically, the robot (400) recognizes the situation as a fire situation based on data learned using artificial intelligence techniques when a fire occurs, and responds to the fire situation using an optimal method learned using artificial intelligence techniques. For example, when a robot (400) of the immediate response system of the present invention is not available to respond to a fire in real time, it transmits the fact of a fire to the control panel (200) and identifies the type of fire through a sensor mounted on the robot (400). However, the determination of the type of fire and the response method for each type of fire are performed based on data learned according to artificial intelligence techniques. For example, the robot (400) detects a fire through an installed fire detection module, and determines whether the detected fire is a general fire or a special fire based on accumulated data through artificial intelligence techniques. Here, the general fire in the example refers to a fire that can be extinguished with water, and the special fire refers to a fire that cannot be extinguished with water. If the above robot (400) determines that a fire can be extinguished with water, the robot (400) is linked to an external fire hydrant and sprays water onto the fire scene through a fire extinguishing nozzle mounted on the robot (400) to extinguish the fire. If it is determined that a fire cannot be extinguished with water, the fire extinguishing agent of a fire extinguisher appropriate for the type of the causal substance is sprayed onto the fire scene to extinguish the fire, depending on whether the substance causing the fire is oil or whether the substance causing the fire is a combustible metal (lithium, sodium, magnesium, titanium, etc.) or an electric vehicle battery. The types of fire extinguishers appropriate for the type of the causal substance include class A, class B, and class K fire extinguishers, and sprayers that spray other dedicated extinguishing liquids. Here, when the dedicated extinguishing liquid is used to perform extinguishing work, the following effects are achieved: a penetration effect that rapidly extinguishes the fire by forming rapid penetration and strong surface tension; a cooling effect that rapidly cools the fire surface by combining nitrogen and a special liquid compound to quickly extinguish the fire; a blocking effect that rapidly blocks the space between the combustible substance and the fire to increase the fire extinguishing effect; and a fire extinguishing agent that rapidly generates carbon dioxide to extinguish the fire. It can be used to suffocate and quickly extinguish fires. In particular, it is desirable that the robot (400) of the present invention exhibit excellent performance in suppressing lithium ion battery fires, fires in electric vehicles equipped with such lithium ion batteries, and fires in electric vehicle chargers, thereby preventing fires caused by the rapid spread of electric vehicles and the subsequent expansion of electric vehicle charging facilities, and further preventing fires caused by the installation and use of ESS (energy storage systems), which have been gradually expanding in recent years. In addition, the robot of the present invention can determine whether a detected fire is in a location vulnerable to fire, such as a gas station, a factory, or an electric vehicle battery charging facility, based on data accumulated through artificial intelligence techniques, and can extinguish the fire by executing a pre-stored response method for each location. In addition, the robot (400) of the present invention includes a sensor unit (420) for recognizing the occurrence of disasters, fires, and crime prevention situations. The above sensor unit (420) includes a fire detection module (422) composed of a known sensor capable of detecting fire, such as an image recognition module (421) such as a camera or CCTV (Closed-circuit Television), a temperature detector, a smoke detector, or a gas detector. Additionally, the robot (400) of the present invention may include a fire extinguisher (430) for extinguishing a fire. As described above, the fire extinguishers (430) may include water sprayers for personal use, fire extinguishing equipment that is connected to an external fire extinguisher and sprays water at the scene of a fire, and fire extinguishers of various types (class A, class B, and class K fire extinguishers or other dedicated fire extinguishers) that spray extinguishing fluid according to the substance causing the fire. In particular, if a fire extinguisher is installed that sprays extinguishing fluid according to the available fire-causing substance, such as a lithium-ion battery fire, a fire in an electric vehicle equipped with such a lithium-ion battery and an electric vehicle charger, a fire in a ternary battery for electric vehicles using nickel-cobalt-manganese (NCM) for electric vehicles, and a lithium iron phosphate (LFP) battery for electric vehicles, it will be possible to prevent fires caused by the rapid spread of electric vehicles and the subsequent expansion of electric vehicle charging facilities, and further, fires caused by the installation and use of ESS (energy storage systems), which have been gradually expanding in recent years. In addition, the robot (400) of the present invention may include a lighting unit (440) capable of illuminating disaster, fire, and crime prevention sites, and a conventional lighting device such as an LED lamp may be used. In addition, the robot (400) of the present invention may include a driving unit (450) to move to a disaster, fire, and crime prevention site, and the driving unit (450) is composed of a driving source (451) such as a motor or actuator installed in a housing (not shown) of the robot (400), and a wheel (452) that receives power from the driving source (451) and moves the robot (400). In addition, according to an embodiment of the present invention, the robot (400) of the present invention is preferably made of a highly heat-resistant material that is resistant to fire and impact, and may have a small or medium-sized appearance depending on the specifications of the robot. That is, the robot (400) according to the embodiment of the present invention can be manufactured to have a small appearance in order to deal with disasters, fires, and crime situations occurring in general homes, business places, restaurants, etc., and can be folded for convenience and practicality in space so that it can be deployed when a situation occurs. Preferably, the robot (400) having the above-mentioned small appearance has a specification of 40 cm in width, 40 cm in height, and 15 cm or less, and the volume of the space where the robot (400) is installed is preferably 50 x 50 x 25 (width, length, height (cm)). In addition, the robot (400) according to the embodiment of the present invention can be manufactured to have a medium-large appearance in order to deal with disasters, fires, and crime situations occurring in wider spaces such as factories, large business establishments, large restaurants, electric vehicle charging stations, and gas stations, and a driving means such as a motor or wheels can be attached to control a wide area. Preferably, the robot (400) having the above-mentioned medium-sized appearance has a specification of 80 cm in width, 80 cm in height, and 120 cm in height or less, and the volume of the space where the robot (400) is installed is preferably 80 x 80 x 120 (width, length, height (cm)). Therefore, the immediate response system of the present invention configured as described above is equipped with a robot (400) connected to the detection sensor (100), the control panel (200), and the remote control server (300), and the robot (400) receives information on the occurrence of a disaster, fire, and crime prevention situation and instructions on a method of responding thereto from the detection sensor (100), the control panel (200), and the remote control server (300), or the robot (400) recognizes the occurrence of a disaster, fire, and crime prevention situation on its own by means of a sensor unit (420) mounted on the robot (400) and can quickly respond to the disaster, fire, and crime prevention situation according to the recognized situation, thereby quickly preventing the spread of damage from the disaster, fire, and crime before the personnel capable of taking action arrive at the disaster, fire, and crime prevention site. As described above, embodiments of the present invention have been described with reference to the attached drawings. However, those skilled in the art will understand that the present invention can be implemented in other specific forms without altering the technical spirit or essential characteristics of the present invention. Therefore, the embodiments described above are illustrative in all respects and are not limiting.

Claims

1. A detection sensor (100) that generates a detection signal for fire or crime prevention using at least one arbitrary sensor module; A control panel (200) that receives a detection signal generated from the above detection sensor (100) through a wireless network and interprets the received detection signal to determine whether a fire has occurred or whether security measures are necessary; A remote control server (300) that identifies and controls the location and status of the control panel (200) and receives judgment results determined by the plurality of control panels (200) through a wired or wireless gateway connected to the plurality of control panels (200); A robot (400) that mutually links data with the detection sensor (100), control panel (200), and remote control server (300) through a wired or wireless network, and performs necessary measures for disaster, fire, and crime prevention based on the linked data; In an intelligent immediate response system comprising: The above robot (400) is, A control unit (410) that performs control to respond to disaster, fire and crime prevention situations, A sensor unit (420) that recognizes the occurrence of disasters, fires, and crime prevention situations, A fire extinguishing unit (430) that extinguishes a fire under the control of the above control unit (410), A lighting unit (440) that can illuminate disaster, fire and crime prevention sites according to the control of the above control unit (410), Including a driving unit (450) for moving the robot (400) to a disaster, fire and crime prevention site, The above control unit (410) Receive information on the occurrence of disaster, fire and crime prevention situations and instructions on how to respond thereto from the above detection sensor (100), control panel (200) and remote control server (300), or independently recognize the occurrence of disaster, fire and crime prevention situations using the sensor unit (420) and perform necessary control to respond to disaster, fire and crime prevention situations; When disasters, fires, and crimes occur, artificial intelligence-based judgment techniques are used to recognize the situation and respond immediately according to the recognized situation; According to the above artificial intelligence judgment technique, Based on the learned data, it determines whether the situation corresponds to a disaster situation, a fire situation, or a crime prevention situation. In the case where the above fire situation is determined, the type of fire that has occurred is identified, including whether it is a fire extinguishing target using water, a fire extinguishing target using a specific fire extinguishing agent, or a fire related to a lithium ion battery, and the fire extinguishing operation is performed using the fire extinguishing unit (430) in a learned manner according to the identified fire type. In the case where the above crime prevention situation is judged, the crime prevention measures are taken, including whether an intrusion has occurred or whether an abnormal sound has occurred, and depending on the type of crime prevention situation identified, warning broadcasts, reporting to relevant authorities, or flashing lights using the lighting unit (440) are performed using a learned method. In the event that the above disaster situation is determined, the risk of building collapse, leakage of hazardous substances, or power outage is identified, and depending on the type of disaster situation identified, an evacuation guidance broadcast, a dangerous situation propagation, lighting provision using the lighting unit (440), or guidance for ensuring safety is performed using a learned method; The above sensor unit (420) includes an image recognition module (421) and a fire detection module (422), An intelligent immediate response system characterized in that the above image recognition module (421) is a camera or CCTV (Closed-circuit Television).

2. In paragraph 1, The above digestive part (430) is An intelligent immediate response system characterized by having at least one of a fire extinguishing device that sprays water at a fire scene using tap water connected to an indoor or water pipe, a fire extinguisher that sprays extinguishing fluid according to the substance causing the fire, and a fire extinguisher specifically for electric vehicles.

3. In paragraph 1, An intelligent immediate response system characterized in that the above driving unit (450) includes a driving source (451) installed in the robot (400) and a wheel (452) that receives power from the driving source (451) and moves the robot (400).

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