Fire prevention system with shielding curtain control board to prevent fire spread at electric vehicle charging stations

Abstract

This invention relates to a fire prevention system with a shielding curtain control base for preventing the spread of fire in electric vehicle charging stations. More specifically, it relates to an integrated fire prevention system that enables a rapid and phased response to fires in electric vehicle charging stations by automatically deploying shielding curtains installed in electric vehicle charging areas to physically block the spread of fire when a fire occurs, evaluating the fire condition based on data collected through multiple sensors, and logically controlling a warning output device and a shielding curtain deployment device.

Description

[Technical Field]

[0001] This invention relates to a fire prevention system with a shielding curtain control base for preventing the spread of fire in electric vehicle charging stations. More specifically, it relates to an integrated fire prevention system that enables a rapid and phased response to fires in electric vehicle charging stations by automatically deploying shielding curtains installed in electric vehicle charging areas to physically block the spread of fire when a fire occurs, evaluating the fire condition based on data collected through multiple sensors, and logically controlling a warning output device and a shielding curtain deployment device. [Background technology]

[0002] As electric vehicles (EVs) become more widespread, EV charging stations are being installed in a variety of locations, including urban areas and building parking lots. In particular, when these stations are installed in enclosed spaces such as underground parking lots, there is a risk that an EV fire could spread rapidly. Many EV batteries are lithium-ion based, and when they catch fire, they cause a combustion reaction that involves high temperatures and large amounts of toxic gases. This makes simple fire suppression difficult, and if the initial response is delayed, there is a high risk of the fire spreading to a large area.

[0003] In particular, when electric vehicles are parked close together and surrounded by other flammable vehicles, a fire can rapidly spread to adjacent vehicles. Numerous cases have been reported both domestically and internationally where a fire in a single vehicle has led to a chain reaction of fires involving multiple vehicles.

[0004] Existing fire detection systems generally issue warnings based on temperature increases or smoke detection, but physical responses after fire detection largely rely on manual fire extinguishers or lack separate fire spread containment devices.

[0005] Some high-end facilities are equipped with sprinkler systems and fire extinguishing gas release devices, but these methods focus more on extinguishing the fire than on preventing its initial spread, and cannot effectively prevent it from spreading to adjacent areas.

[0006] Furthermore, existing fire response systems applicable to electric vehicle charging stations have problems such as not considering integration with charging infrastructure and difficulty in providing localized responses to individual vehicles in the event of a fire. In particular, there is a lack of technology for organically linking with physical isolation measures such as deployable shielding curtains.

[0007] Recently, intelligent fire response technologies utilizing IoT (Internet of Things) sensors, control devices, and warning devices have emerged. However, these systems are often limited to simple detection and warning, and there is a lack of systems that integrate and control physical shutdown and logical warning output.

[0008] Therefore, there is a need for an integrated fire response system that can effectively prevent the spread of fire in electric vehicle charging stations by rapidly deploying a barrier curtain installed in the electric vehicle charging area in the event of a fire to isolate it from adjacent areas, and by linking the status evaluation and warning output of multiple sensor bases with logical control. [Overview of the Initiative] [Problems that the invention aims to solve]

[0009] Based on the above discussion, the present invention provides a fire prevention system for a shielding curtain control board to prevent the spread of damage caused by a fire at an electric vehicle charging station.

[0010] Furthermore, the present invention provides a system that enables a rapid and intuitive response to a fire by having a barrier curtain installed in an electric vehicle charging area automatically deploy when a fire occurs to physically isolate it from adjacent areas, and simultaneously providing visual and auditory warning outputs.

[0011] Furthermore, the present invention provides a control method for preventing malfunctions and achieving efficient response by evaluating the fire condition based on data collected through multiple sensors (temperature, smoke particle concentration, gas concentration, infrared radiation, etc.) and executing warnings and shielding curtain deployments in stages according to a logical transition (flow) for each condition.

[0012] In addition, the present invention provides a system that enables more precise and reliable fire judgment by comparing and analyzing measurement values between sensors in real time to evaluate the reliability of each sensor, and calculating a weighted-value-based fire state evaluation score (Fstate) that reflects this.

[0013] In addition, the present invention provides a prediction-based response system that can block fire spread at a stage before an emergency situation by accumulating time-series data, judging the change trend of the fire state score in advance through a prediction model, and taking proactive measures before exceeding a critical value.

[0014] In addition, the present invention provides a system that enables cooperative and integrated response by propagating the fire state of a specific area to other areas in an environment where multiple charging areas are linked by a network, and adjusting the warning output intensity and the feasibility of deploying a blocking curtain according to the risk level of the area.

[0015] In addition, the present invention provides an adaptive blocking curtain control system that minimizes deployment failure by judging the success or failure of deploying a blocking curtain and performing iterative control again in case of failure, and dynamically adjusting the intensity, power, or driving parameters of the deployment operation during iteration.

[0016] In addition, the present invention provides a user-centered fire response solution that minimizes human casualties by intuitively guiding a user to the fire occurrence location, evacuation route, etc. through a warning system linked to fire detection and blocking curtain control for rapid evacuation and route ensuring in an emergency situation.

Means for Solving the Problems

[0017] According to various embodiments of the present invention, a first fire prevention system is provided for preventing the spread of fire in a first electric vehicle charging station. The first fire prevention system includes: a shielding curtain installed above a first charging area in the first electric vehicle charging station and configured to be deployed in the event of a fire to block part or all of the charging area; a deployment device configured to deploy the shielding curtain, which is folded or rolled up before the fire occurs, in the event of the fire; a fire detection sensor configured to detect the occurrence of the fire in the first charging area, the fire detection sensor configured to detect the occurrence of the fire based on one or more of the following: a temperature measured relative to the first charging area, a measured smoke particle concentration, a measured specific type gas concentration, and a measured infrared emission amount, wherein the measured specific type gas concentration is the concentration of at least one of the following gases: carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), hydrogen, and methane; a warning output device including a visual warning device and an audible warning device; a transceiver; memory; and a processor. The processor is functionally connected to the deployment device, the fire detection sensor, and the warning output device, and the memory stores instructions for the response actions to the fire performed by the processor, and the response actions include the steps of deploying the shielding curtain by the deployment device and outputting a fire warning for the fire by the warning output device; a first fire prevention system is provided. [Effects of the Invention]

[0018] This invention can provide a fire prevention system for a shielding curtain control board to prevent the spread of damage caused by a fire at an electric vehicle charging station.

[0019] Furthermore, the present invention provides a system that enables a rapid and intuitive response to a fire by having a barrier curtain installed in an electric vehicle charging area automatically deploy when a fire occurs to physically isolate it from adjacent areas, and simultaneously providing visual and auditory warning outputs.

[0020] Furthermore, the present invention provides a control method for preventing malfunctions and achieving efficient response by evaluating the fire condition based on data collected through multiple sensors (temperature, smoke particle concentration, gas concentration, infrared radiation, etc.) and executing warnings and shielding curtain deployments in stages according to a logical transition (flow) for each condition.

[0021] Furthermore, the present invention provides a system that enables more precise and reliable fire judgment by comparing and analyzing measurement values ​​between sensors in real time to evaluate the reliability of each sensor and calculating a weighted fire state evaluation score (Fstate) that reflects this.

[0022] Furthermore, the present invention provides a predictive infrastructure system that can prevent fire spread at a stage before an emergency situation occurs by accumulating time-series data, predicting the trend of changes in fire status scores through a predictive model, and taking proactive measures before exceeding critical values.

[0023] Furthermore, the present invention provides a system that enables cooperative and integrated responses in an environment where multiple charging zones are linked by a network, by transmitting the fire status of a specific zone to other zones and adjusting the warning output intensity and the ability to deploy a shielding curtain according to the danger level of the respective zone.

[0024] Furthermore, the present invention provides an adaptive barrier curtain control system that determines whether the barrier curtain can be successfully deployed, performs repeated control if it fails, and minimizes deployment failures by dynamically adjusting the intensity, power, or drive parameters of the deployment operation during each repetition.

[0025] Furthermore, the present invention provides a user-centered fire response solution that minimizes loss of life by providing users with intuitive guidance on the location of a fire, evacuation routes, etc., through a warning system linked to fire detection and shielding curtain control, enabling rapid evacuation and route securing in emergency situations.

[0026] The effects obtained by the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by a person with ordinary skill in the art to which this disclosure pertains from the following description. [Brief explanation of the drawing]

[0027] [Figure 1] Figure 1 illustrates an example of a fire prevention system according to various embodiments of the present invention. [Figure 2] Figure 2 illustrates an example of a fire prevention system according to various embodiments of the present invention. [Figure 3] Figure 3 illustrates an example of a communication system according to various embodiments of the present invention. [Figure 4] Figure 4 illustrates block diagrams of the configuration of fire prevention systems according to various embodiments of the present invention. [Figure 5] Figure 5 illustrates block diagrams of the configurations of a parking lot management terminal, a fire station terminal, and a user terminal according to various embodiments of the present invention. [Modes for carrying out the invention]

[0028] The following describes embodiments of the present invention in detail, with reference to the attached drawings, so that those with ordinary skill in the art to which the present invention pertains can easily implement it. The present invention can be implemented in various different forms and is not limited to the embodiments described herein.

[0029] The various embodiments of this disclosure described below illustrate hardware-based approaches. However, since the various embodiments of this disclosure include techniques that utilize both hardware and software, the various embodiments of this disclosure do not exclude software-based approaches.

[0030] Figure 1 illustrates an example of a fire prevention system according to various embodiments of the present invention.

[0031] Figure 1 is a diagram illustrating an example of a fire prevention system according to various embodiments of the present invention, showing a lowering of a protective curtain installed in a charging area where an electric vehicle is being charged. In the example in Figure 1, an electric vehicle is connected to a wall-mounted charger and is being charged. The charging area is equipped with a roll-up type protective curtain at the top, which is configured to lower in the event of a fire to prevent the spread of fire to adjacent areas.

[0032] The shielding curtain is constructed of fire-fighting flame-retardant material and includes a structure that allows it to be lowered vertically by a motor drive unit or electromagnet control unit, or rolled up again when needed. As illustrated in Figure 1, the lowering shielding curtain is positioned to cover the entire side of the electric vehicle and serves to suppress the lateral diffusion of hot air, smoke, harmful gases, etc. Such shielding curtains may be installed independently for each charging area or may be modularized and arranged across multiple areas.

[0033] Furthermore, fire detection sensors and system control processors are installed in each charging area or shared monitoring equipment included in the configuration shown in Figure 1, and monitor indicators such as temperature rise, smoke concentration, and infrared emission in real time. These sensor input values ​​are accumulated and stored in the system memory, and when a dangerous level is detected, the barrier curtain in that area automatically lowers, and a warning notification is simultaneously sent to the user and the management system.

[0034] Furthermore, the present invention is designed so that fire response in each charging area is not limited to a single charging station, but is carried out cooperatively through information sharing with adjacent areas. For example, if signs of fire are detected in an area like the one shown in Figure 1, a warning signal is propagated to adjacent areas, allowing the barrier curtain to descend preemptively. This blocks the fire's spread path in advance, maximizing the overall fire response efficiency of the parking lot.

[0035] Figure 2 illustrates an example of a fire prevention system according to various embodiments of the present invention.

[0036] Referring to Figure 2, parking lot 10 includes multiple fire prevention systems 100:100-1, 100-2, ..., 100-n.

[0037] Each of the multiple fire prevention systems 100:100-1, 100-2, ..., 100-n is partitioned in an electric vehicle charging station for one electric vehicle or a set number of electric vehicles.

[0038] Parking lot 10 may consist of multiple levels. Parking lot 10 may consist of multiple underground levels, or multiple above-ground levels, or multiple levels that are both underground and above ground. Each level within parking lot 10 may include multiple electric vehicle charging stations and multiple fire prevention systems. Each level within parking lot 10 may include one or more escape routes leading to the surface.

[0039] Figure 2 illustrates individual installation examples of electric vehicle charging station fire prevention systems according to various embodiments of the present invention, showing a configuration in which multiple fire prevention systems 100-1, 100-2, ..., 100-n are independently arranged within a parking lot 10. Each fire prevention system 100 includes charging equipment capable of charging one electric vehicle or a predetermined number of electric vehicles, and a corresponding shielding curtain, sensor, warning output device, etc.

[0040] Such a fire prevention system 100 can operate independently in each zone, and in the event of a fire, it deploys a shielding curtain individually and outputs a warning to suppress the fire locally. As shown in Figure 2, each charging zone has the same structure, but different setting conditions and control logic can be applied to each as needed, allowing for flexible response to the situation.

[0041] Furthermore, the parking garage 10 may include a multi-level structure that is underground, above ground, or a hybrid of underground and above ground. Each level may include multiple electric vehicle charging stations and fire prevention systems, and may be configured to allow for independent yet cooperative responses in the event of a fire on each level. For example, if a fire occurs on one level, information can be shared with other fire prevention systems on that level, and alarms can be transmitted to other levels as needed.

[0042] The parking garage 10 may include one or more ground-level escape routes on each level, and the system of the present invention may also include a function to guide users to the shortest route to such escape routes in the event of a fire. This allows users to respond immediately in accordance with audible or visual warnings, and the system supports efficient and safe evacuation by adjusting the range and intensity of the warnings according to the degree of danger of the situation.

[0043] Figure 3 illustrates an example of a communication system according to various embodiments of the present invention.

[0044] Referring to Figure 3, various embodiments of the present invention include a communication system comprising fire prevention systems 100:100-1, 100-2, ..., 100-n, a parking management terminal 200, a fire station terminal 300, a user terminal 400, and wired and wireless communication networks 500.

[0045] Fire prevention systems 100:100-1, 100-2, ..., 100-n are terminals that are partitioned according to electric vehicle charging stations capable of charging one or a predetermined number of electric vehicles, electrically control various devices within the electric vehicle charging station, and communicate with other devices. Fire prevention systems 100:100-1, 100-2, ..., 100-n are electronic devices that can send and receive information with other electric vehicle charging systems 100:100-1, 100-2, ..., 100-n, parking management terminals 200, fire station terminals 300, and user terminals 400 via wired and wireless communication networks 500. Fire prevention systems 100:100-1, 100-2, ..., 100-n may be electronic devices that include a memory capable of inputting and storing information, a transceiver capable of sending and receiving information, and at least one processor capable of performing calculations on information, such as personal computers, cellular phones, smartphones, tablet computers, telematics devices, and server devices.

[0046] The parking management terminal 200 is a terminal operated by the parking management. The parking management terminal 200 is an electronic device that can send and receive information with the fire prevention systems 100:100-1, 100-2, ..., 100-n, the fire station terminal 300, and the user terminal 400 via wired and wireless communication networks 500. The parking management terminal 200 may be an electronic device that includes an input device for inputting information, an output device for outputting information, a memory for storing information, a transceiver capable of sending and receiving information, and at least one processor capable of performing calculations on information, such as a personal computer, cellular phone, smartphone, or tablet computer. The fire station terminal 300 is a terminal operated by a fire organization, fire station, or fire officer.

[0047] The fire station terminal 300 is an electronic device that can send and receive information with the fire prevention systems 100:100-1, 100-2, ..., 100-n, the parking management terminal 200, and the user terminal 400 via wired and wireless communication networks 500. The fire station terminal 300 may be an electronic device that includes an input device for inputting information, an output device for outputting information, a memory for storing information, a transceiver capable of sending and receiving information, and at least one processor capable of performing calculations on information, such as a personal computer, cellular phone, smartphone, or tablet computer.

[0048] User terminal 400 is a terminal operated by a user who charges an electric vehicle to one or more of the fire prevention systems 100:100-1, 100-2, ..., 100-n. User terminal 400 is an electronic device that can send and receive information with the fire prevention systems 100:100-1, 100-2, ..., 100-n, parking management terminal 200, and fire station terminal 300 via wired and wireless communication networks 500. User terminal 400 may be an electronic device that includes an input device for inputting information, an output device for outputting information, a memory for storing information, a transceiver capable of sending and receiving information, and at least one processor capable of performing calculations on information, such as a personal computer, cellular phone, smartphone, or tablet computer.

[0049] The wired and wireless network 500 provides a communication path that enables the fire prevention systems 100:100-1, 100-2, ..., 100-n, the parking management terminal 200, the fire station terminal 300, and the user terminal 400 to send and receive signals and data to and from each other. The wired and wireless network 500 is not limited to a communication method that follows a specific communication protocol, and an appropriate communication method may be used depending on the embodiment. For example, if the system is based on the Internet Protocol (IP), the wired and wireless network 500 may be embodied in a wired or wireless internet network, and if the fire prevention systems 100:100-1, 100-2, ..., 100-n, the parking management terminal 200, the fire station terminal 300, and the user terminal 400 are implemented as mobile communication terminals, the wired and wireless network 500 may be embodied in a wireless network such as a cellular network or a WLAN (wireless local area network) network.

[0050] Figure 4 illustrates block diagrams of the configuration of fire prevention systems according to various embodiments of the present invention.

[0051] Referring to Figure 4, the fire prevention system 100:100-1, 100-2, ..., 100-n includes a shielding curtain 101, a deployment device 102, a fire detection sensor 103, a warning output device 104, a transceiver 105, a memory 106, and a processor 107.

[0052] The barrier curtain 101 is a structure for surrounding or blocking an electric vehicle charging area and is configured to physically block the spread of flames to adjacent vehicles or areas in the event of a fire. The barrier curtain 101 may be made of a non-combustible or flame-retardant material and may be implemented in the form of a roll blind, sliding, or folding.

[0053] The deployment device 102 acts as a drive means for automatically deploying or retracting the barrier curtain 101, and performs the operation of spreading or rolling up the barrier curtain 101 to a specified position according to the control of the processor 107. The deployment device 102 may consist of a motor, gearbox, guide rail, wire drive, etc., and may further include sensors for confirming the success or failure of deployment or retraction.

[0054] The fire detection sensor 103 is a sensor for detecting whether a fire may occur within the charging area and may consist of at least one of the following: a temperature sensor, a smoke concentration sensor, a gas concentration sensor, an infrared sensor, etc. The fire detection sensor 103 collects data in real time and provides it to the processor 107, and if it exceeds a certain critical value, it is determined that a fire has occurred.

[0055] The warning output device 104, as a device for informing users and people located nearby of dangerous situations in the event of a fire, may include a variety of visual and auditory output means such as an LED display, a warning light, a siren, a speaker, and an electronic letter display board. The warning output device 104 can adjust the type and intensity of the danger signal according to the control of the processor 107, and may also include pre-warning and emergency evacuation guidance functions.

[0056] The transceiver 105 is connected to the processor 107 to transmit and / or receive signals. All or part of the transceiver 105 may be referred to as a transmitter or receiver. The transceiver 105 can support at least one of various wireless communication standards, including wired and wireless connection systems such as IEEE (Institute of Electrical and Electronics Engineers) 802.xx systems, IEEE Wi-Fi systems, 3GPP (3rd Generation Partnership Project) (registered trademark) systems, 3GPP LTE (Long Term Evolution) systems, 3GPP 5G NR (New Radio) systems, 3GPP2 systems, and Bluetooth.

[0057] Memory 106 is connected to the transceiver 105 and can store information received through communication. Memory 106 is also connected to the processor 107 and can store data such as the basic program for the processor 107's operation, application programs, configuration information, and information generated by the processor 107's calculations. Memory 106 may consist of volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory. Memory 106 can then provide the stored data according to the processor 107's requests.

[0058] The processor 107 may be configured to embody the procedures and / or methods proposed in the present invention. The processor 107 controls the overall operation of the electric vehicle charging systems 100:100-1, 100-2, ..., 100-n, which receive information using a communication system, generate new information based on the received information, store the generated information, and transmit the received or generated information. For example, the processor 107 transmits or receives information, etc., through a transceiver 105. The processor 107 also records and reads data in a memory 106. The processor 107 also opens or closes the electric vehicle charging space by deploying or retracting the shielding curtain 101 through a deployment device 102. The processor 107 also outputs visual and auditory indicators related to fire warnings through a warning output device 104. The processor 107 may include at least one processor.

[0059] Although not shown in Figure 4, the fire prevention systems 100:100-1, 100-2, ..., 100-n may further include a fire extinguishing device for spraying a fire extinguishing agent, and a power cut-off device configured to cut off the power to charging equipment within a charging area.

[0060] Figure 5 illustrates block diagrams of the configurations of a parking lot management terminal, a fire station terminal, and a user terminal according to various embodiments of the present invention.

[0061] In the embodiment shown in Figure 5, the parking lot management terminal 200, the fire station terminal 300, and the user terminal 400 are examples of one or more terminal devices related to parking lot management according to various embodiments of the present invention.

[0062] Various embodiments of the present invention include a parking lot management terminal 200, a fire station terminal 300, and a user terminal 400, each comprising a transceiver 201, memory 202, a processor 203, an input device 204, and an output device 205.

[0063] The transceiver 201 is connected to the processor 203 and transmits and / or receives signals. All or part of the transceiver 201 may be referred to as a transmitter or receiver. The transceiver 201 can support at least one of various wireless communication standards, including wired and wireless connection systems such as IEEE (Institute of Electrical and Electronics Engineers) 802.xx systems, IEEE Wi-Fi systems, 3GPP (3rd Generation Partnership Project) systems, 3GPP LTE (Long Term Evolution) systems, 3GPP 5G NR (New Radio) systems, 3GPP2 systems, and Bluetooth.

[0064] Memory 202 is connected to the transceiver 201 and can store information received through communication. Memory 202 is also connected to the processor 203 and can store data such as the basic program for the processor 203's operation, application programs, configuration information, and information generated by the processor 203's calculations. Memory 202 may consist of volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory. Memory 202 can then provide stored data according to the processor 203's requests.

[0065] The processor 203 may be configured to embody the procedures and / or methods proposed in the present invention. The processor 203 uses a communication system to receive information, generates new information based on the received information, stores the generated information, and controls the overall operation of the parking management terminal 200, fire station terminal 300, and user terminal 400 that transmit the received or generated information. For example, the processor 203 transmits or receives information through the transceiver 201. The processor 203 also records and reads data in the memory 202. The processor 203 also receives information through the input device 204. The processor 203 also outputs information through the output device 205. The processor 203 may include at least one processor. The input device 204 is connected to the processor 203 and can receive information. According to one embodiment, the input device 204 can receive information received from other devices through the transceiver 201. The input device 204 may include a touch display, keypad, keyboard, etc.

[0066] The output device 205 is connected to the processor 203 and can output information in the form of video or audio. According to one embodiment, the output device 205 can output information received from other devices through the transceiver 201. The output device 205 may include a display, a speaker, etc.

[0067] According to various embodiments of the present invention, a first fire prevention system is provided for preventing the spread of fire in a first electric vehicle charging station. The first fire prevention system includes: a shielding curtain installed above a first charging area in the first electric vehicle charging station and configured to be deployed in the event of a fire to block part or all of the charging area; a deployment device configured to deploy the shielding curtain, which is folded or rolled up before the fire occurs, in the event of the fire; a fire detection sensor configured to detect the occurrence of the fire in the first charging area; a warning output device including a visual warning device and an audible warning device; a transceiver; memory; and a processor. The fire detection sensor is configured to detect the occurrence of the fire based on one or more of the following: a temperature measured relative to the first charging area, a measured smoke particle concentration, a measured specific type gas concentration, and a measured infrared emission amount. The measured specific type gas concentration is the concentration of at least one of the following gases: carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), hydrogen, and methane. The processor is functionally connected to the deployment device, the fire detection sensor, and the warning output device. The memory stores instructions for the fire response actions performed by the processor. The response actions include: deploying the shielding curtain using the deployment device; and outputting a fire warning for the fire using the warning output device.

[0068] According to various embodiments of the present invention, a fire prevention system is provided that can respond quickly and automatically when a fire occurs in an electric vehicle charging station. In particular, the fire detection sensor can precisely determine whether a fire is occurring based on multiple physical and chemical indicators such as temperature, smoke particle concentration, concentration of a specific type of gas, and infrared emission, thereby reducing false alarms and enabling early detection. This allows for real-time recognition of initial fire signs and immediate response, preventing the spread of fire in advance.

[0069] Furthermore, the system according to the present invention has a processor functionally linked with a fire detection sensor, a shielding curtain deployment device, and a warning output device. When a fire occurs, the shielding curtain is automatically deployed according to pre-stored instructions, and visual and audible warnings are output, immediately notifying the user of the danger. Through this, it is expected that loss of life and damage caused by fire will be minimized. In addition, the shielding curtain acts as a physical barrier that prevents the spread of fire to adjacent areas and vehicles by quickly isolating part or all of the charging area, and can act as an effective means of suppressing fire spread even in densely populated parking spaces.

[0070] According to various embodiments of the present invention, the processor may be configured to perform the response action to the fire based on the transition of the current fire state among the configured fire states. The fire states may include, in order of urgency, an idle state, a first alert state, a second alert state, a critical state, and an emergency state. The idle state may be a state in which no fire has been detected. The first fire prevention system further includes: a fire extinguishing device configured to spray a fire extinguishing agent in the first charging area, and a power cut-off device configured to cut off the power to the charging devices in the first charging area, and the processor may be functionally coupled with the fire extinguishing device and the power cut-off device. A plurality of electric vehicle charging stations, including the first electric vehicle charging station, may be included in a parking lot consisting of one or more levels. A plurality of second electric vehicle charging stations, excluding the first electric vehicle charging station, may include a plurality of second fire response systems identical to the first fire prevention system. The plurality of fire response systems may be coupled to one another via a communication network. The corresponding action for the standby state may include maintaining the standby state of the first fire prevention system. The corresponding action for the first alert state may include initiating the output of visual and auditory warnings by the warning output device. The corresponding action for the second alert state may include shutting off the power to the charging device by the power cut-off device, deploying the shielding curtain over a portion of the first charging area by the deployment device, and transmitting a fire warning message to one or more terminal devices related to the management of the parking lot by the transceiver. The corresponding action for the hazard state may include deploying the shielding curtain over the entire first charging area, spraying the fire extinguishing agent in the first charging area by the fire extinguishing device, and transmitting instruction messages for deploying corresponding shielding curtains and outputting warnings over portions of the charging areas corresponding to the plurality of fire response systems.The response actions in response to the emergency situation may include: deploying corresponding shielding curtains over all corresponding charging areas to the multiple fire response systems; spraying fire extinguishing agents from corresponding fire extinguishing devices or transmitting instruction messages for specific warning outputs, depending on the distance of the multiple second fire response systems from the first fire prevention system or emergency exits.

[0071] According to various embodiments of the present invention, a system is provided in which fire response operations are not simply performed on a single-event basis, but are sophisticatedly controlled in multiple stages according to changes in the fire state, i.e., transitions. The processor defines multiple fire states from standby to emergency, and by executing specific and stepwise response procedures for each state, measures such as initial warning, power cut-off, deployment of partial or complete shielding curtain, and extinguishing agent spraying can be carried out sequentially and rationally. This enables flexible responses tailored to the progression of the fire and the surrounding conditions, and has the effect of responding immediately to actual danger while preventing unnecessary waste of resources and overreactions.

[0072] Furthermore, by configuring multiple fire response systems installed in several charging areas to work together via a communication network, response commands can be proactively transmitted to surrounding areas before a fire hazard in one area spreads to adjacent areas. As a result, when one system enters an emergency situation, actions such as deploying barriers, spraying fire extinguishing agents, and issuing specific warnings in adjacent areas are carried out in coordination according to distance and danger level, creating a systematic and cooperative defense system even within a parking lot structure divided into layers or zones. Consequently, the present invention can provide comprehensive fire spread suppression and protection of human lives and facilities not only in a single area of ​​an electric vehicle charging station but also at the entire parking lot level.

[0073] According to various embodiments of the present invention, the processor may be configured to perform the transition of the current fire state based on a fire state evaluation score. The fire state evaluation score F state= (First coefficient * the measured temperature) + (Second coefficient * the measured smoke particle concentration) + (Third coefficient * the measured specific type of gas concentration) + (Fourth coefficient * the measured infrared emission amount) can be defined as follows. The fire condition evaluation score F state The transition of the current fire state can be determined based on a comparison of the critical evaluation scores for each of the aforementioned fire states. The fire state evaluation score F state If the fire condition evaluation score F is less than or equal to the first critical evaluation score, the current fire state may be determined to be the standby state. state If the fire condition score exceeds the first critical evaluation score and is less than or equal to the second critical evaluation score, the current fire condition may be determined to be the first caution state. The fire condition evaluation score F state If the fire condition score exceeds the second critical evaluation score and is less than or equal to the third critical evaluation score, the current fire condition may be determined to be the second caution state. The fire condition evaluation score F state If the fire condition score F exceeds the third criticality score and is less than or equal to the fourth criticality score, the current fire condition may be determined to be the dangerous condition. state If the value exceeds the fourth criticality score, the current fire condition may be determined to be the emergency condition.

[0074] According to various embodiments of the present invention, the determination of the fire state does not rely on simple critical value comparisons or single sensor information, but rather on a fire state evaluation score (F) that comprehensively reflects various fire-related elements such as temperature, smoke particle concentration, specific type of gas concentration, and infrared emission amount. state By performing actions based on this, more precise and reliable fire assessment becomes possible. The processor uses this fire state evaluation score as a basis to perform multi-stage fire state transitions from standby to emergency, enabling accurate response actions that match the actual severity of the fire. This prevents unnecessary alarms and resource waste due to overreactions, and conversely, reduces situations where danger signals are overlooked and responses are delayed, thereby improving both the efficiency and safety of fire response.

[0075] Furthermore, the quantitative evaluation score calculation structure of the multi-sensor base has the advantage of being able to be flexibly customized according to the installation environment and fire type by adjusting the weighting value (coefficient) of each element. For example, in a specific area, gas concentration may be a more sensitive initial fire signal than smoke particles, and in such cases, increasing the coefficient allows for earlier detection and transition determination. Thus, the present invention can configure a customized fire detection and response system according to various real-world scenarios, providing versatility and expandability that can be applied not only to fixed electric vehicle charging stations but also to various parking environments and building structures.

[0076] According to various embodiments of the present invention, the processor may be configured to adjust the output pattern of the warning output device based on the transition of the current fire state. Based on a priority table corresponding to the current fire state, a first priority may be set among the visual output items that can be output by the warning output device. Based on the priority table, a second priority may be set among the auditory output items that can be output by the warning output device. Based on the first and second priorities, the output weight and output order of the visual and auditory output items may be dynamically determined. In the first attention state: the visual and auditory output items may be less stimulating and more information-based than in other fire states, the flashing of the visual warning may be slower than in other fire states, the visual warning may include the output of a warning icon indicating a fire, and the auditory warning may have a higher weight of information transmission via sound than the output of a siren sound. In the second attention state: The visual and auditory output items are configured to be more stimulating and attention-grabbing than in the first attention state, the visual warning may flash faster than in the first attention state, the hue of the visual warning may be closer to red than in the first attention state, and the auditory warning may include repetitive notifications of warning phrases of a shorter length than in the first attention state. In the hazard state: The visual and auditory output items include a fire warning and guidance for evacuation, the visual warning may include strobe flashing and a pulsing light effect, and the auditory warning may include a high-pitched, repetitive siren sound and a clear emergency voice message superimposed simultaneously. In the emergency state: The visual and auditory output items include a greater emphasis on guidance for evacuation than in the hazard state, the visual warning may include route guidance to an emergency exit, and the auditory warning may include immediate evacuation guidance along with a route to an emergency exit. The visual and auditory warnings are output in a manner that allows multiple tasks to be performed simultaneously, and the visual and auditory output items may be output based on non-preemptive scheduling to prevent output collisions. The processor may be further configured to execute a condition-based dynamic response hierarchical algorithm for multiple charging zones within a building.The dynamic response hierarchical algorithm may include: (1) a step of calculating a first distance from the first electric vehicle charging station, a difference in layers, and a second distance from the nearest emergency exit for each of the multiple second electric vehicle charging stations; (2) a step of calculating the risk level R = (fifth coefficient / the first distance) + (sixth coefficient * absolute value of the difference in layers) + (seventh coefficient * the second distance) for each of the multiple second electric vehicle charging stations; (3) a step of determining response layer information among the monitoring layer, primary response layer, and secondary response layer for each of the multiple second electric vehicle charging stations based on the risk level R; and (4) a step of transmitting instruction messages to the multiple second fire response systems corresponding to each of the multiple second electric vehicle charging stations based on the response layer information to control different levels of shielding curtain deployment, fire extinguishing agent spraying, or warning output.

[0077] According to various embodiments of the present invention, the accuracy and efficiency of warnings are significantly improved by dynamically adjusting the visual and auditory output patterns of the warning output device in accordance with the stage-by-stage transition of the fire condition. In particular, the processor determines the priority, output weight, and output order of visual and auditory output items based on a priority table corresponding to each fire condition, thereby adjusting the intensity of the warning stimulus and the content of the message. In the initial warning stage, it performs information-centered output while minimizing confusion, and in the dangerous condition and above, it can simultaneously provide strong warnings and guidance for immediate action. For example, in an emergency, this can include increasing the flashing speed, changing the warning hue, simultaneously using a high-power siren and clear voice guidance, and even providing guidance for emergency exits, enabling a strong response that prioritizes the evacuation of human lives. Such a multi-layered output system helps warning recipients intuitively recognize the severity of the fire and take appropriate response actions quickly in each condition.

[0078] Furthermore, this invention is not limited to a single charging area, but offers outstanding technological benefits by enabling intelligent and differentiated responses across the entire space through a dynamic response hierarchical algorithm for multiple charging areas within a building. The processor dynamically sets monitoring, primary response, and secondary response hierarchies for each second charging station based on a risk level R calculation formula that reflects the distance from the first charging station, the difference in levels, the distance from emergency exits, etc., and differentiates the deployment of shielding curtains, spraying of fire extinguishing agents, warning output, etc., for each area accordingly. As a result, a stronger and faster response is provided to charging stations in the direct impact zone of a fire, while monitoring and warning-focused responses are provided to areas with less impact, maximizing the efficiency and control of the overall system without wasting resources. This can be considered a core technological advancement that simultaneously ensures scalability and substantial fire response capabilities in large-scale electric vehicle parking environments.

[0079] According to various embodiments of the present invention, the success of deploying the barrier curtain may be confirmed based on whether the tension detected by the deployment device during the deployment of the barrier curtain corresponds to a set critical tension. If the success of deploying the barrier curtain has not been confirmed after a set time following an attempt to deploy the barrier curtain, the processor may be configured to determine that the deployment of the barrier curtain has failed, retrieve the barrier curtain again using the barrier curtain deployment device, and then retry the deployment of the barrier curtain. The retries of deploying the barrier curtain may be repeated up to a maximum number of retries. Each time the number of retries of deploying the barrier curtain increases, the processor may be configured to have the barrier curtain deployment device retry the deployment at a lower deployment speed and higher power than the most recent deployment attempt. In the retries, the amount of decrease in deployment speed and increase in power may be based on a set offset.

[0080] According to various embodiments of the present invention, by configuring the system to automatically determine whether the deployment of the barrier curtain is successful or not based on tension information, which is a quantitative criterion, rapid and accurate feedback control is possible in response to failures in barrier curtain deployment. Specifically, by determining whether the tension sensed by the deployment device during deployment is above a preset critical tension, the success or failure of barrier curtain deployment can be determined in real time without external sensors or complex additional devices. If successful deployment is not confirmed within a set time, it is immediately determined to be a failure, and retrieval and retry procedures can be automatically carried out. Such a structure enhances the reliability of barrier curtain deployment during fire response and contributes to minimizing response delays in actual fire situations.

[0081] Furthermore, the present invention does not simply repeat the process when the shield curtain deployment fails, but progressively adjusts the output conditions by decreasing the deployment speed and increasing the power with each retry, thereby reducing the possibility of repeated failures and improving the deployment success rate. Since the amount of reduction in deployment speed and the amount of increase in power are controlled based on a set offset value, progressive control is possible that can flexibly respond to mechanical resistance and environmental fault factors. In particular, by repeating the trial up to the maximum number of retries, stable deployment success can be ensured even in the event of temporary device malfunction or failure, resulting in a significant improvement in the overall reliability and resilience of the shield curtain deployment system.

[0082] According to various embodiments of the present invention, if the deployment of the barrier curtain has been retried to the maximum number of retries but the successful deployment of the barrier curtain has not been confirmed, the processor may be configured to: determine that the deployment of the barrier curtain has completely failed; increase the spray intensity of the fire extinguishing agent in the first charging area; transmit a message via the transceiver to one or more terminal devices related to the management of the parking lot indicating that the deployment of the barrier curtain has completely failed; and transmit a correction instruction message via the transceiver to the plurality of second fire response systems corresponding to each of the plurality of second electric vehicle charging stations, which control the degree of barrier curtain deployment, the spray intensity of the fire extinguishing agent, or the warning output to an upward degree.

[0083] According to various embodiments of the present invention, if the deployment of the barrier curtain fails to succeed until the maximum number of retries is reached, the system does not regard this as a simple failure, but determines it as a complete failure of the barrier curtain deployment function, so that it can perform the accompanying immediate and enhanced response procedures. Specifically, by adjusting the upward injection intensity of the fire extinguishing agent to complement the risk of fire spread due to the absence of the barrier curtain, and by quickly reporting the fact of the complete failure to the terminal device linked to the parking lot management system, people can intervene and respond manually. Such a structure can be said to be a design that prioritizes safety even in the worst scenario of barrier curtain deployment failure.

[0084] In addition, the present invention does not confine the measures in the complete failure situation only to the charging area, but dynamically expands and applies them to other electric vehicle charging stations as well, thereby enhancing the overall elasticity and safety of the fire response system. Specifically, the processor controls each fire response system installed in a plurality of second electric vehicle charging stations to adjust upward the degree of barrier curtain deployment, the injection intensity of the fire extinguishing agent, the warning output level, etc. to a level stronger than before, so that a preemptive response to fire spread or the occurrence of additional risk factors is possible. Thereby, while preventing the system failure at a single point from weakening the overall fire response effect, it provides the technical effect of maximizing the coordinated response ability of all areas.

[0085] According to various embodiments of the present invention, the processor accumulates time-series data for one or more of the measured temperature, the measured smoke particle concentration, the measured concentration of a specific type of gas, and the measured infrared emission amount and stores it in the memory, and based on the prediction model in the form of software stored in the memory, generates prediction information on the change trend of the fire state evaluation score F state and when it is predicted that the fourth critical evaluation score of the fire state evaluation score F state is exceeded based on the change trend prediction information, it may be configured to execute the response operation corresponding to the fire state with a higher urgency than the current fire state preemptively before the current fire state transitions to the fire state with a higher urgency.

[0086] According to various embodiments of the present invention, multiple sensor data such as temperature, smoke particle concentration, specific type of gas concentration, and infrared emission amount collected from fire detection sensors are accumulated and stored in a time series, and based on this, a fire condition evaluation score (F) is calculated through a software-based predictive model. state By predicting the changing trends of the situation, the fire response system can proactively respond by considering future hazards rather than simply relying on the current state. This configuration contributes to the early detection of the possibility of fire spread and enables the entire system to operate more proactively and intelligently.

[0087] Furthermore, if the prediction model is F state If it is determined that the fire level exceeds the fourth criticality score, the emergency response actions can be performed in advance of the actual emergency situation, allowing for the execution of response measures such as warning output, deployment of a barrier curtain, and spraying of fire extinguishing agents. This enables timely intervention in the progression of the fire, realizing a preemptive response system that can control the situation or stop its spread before actual damage occurs. As a result, the present invention provides a technical effect that improves the overall response speed and safety of the system through predictive fire response technology.

[0088] According to various embodiments of the present invention, the fire detection sensor may include one or more detail sensing sensors. The one or more detail sensing sensors may include one or more of: a temperature sensor, a smoke particle concentration sensor, a specific type of gas concentration sensor, and an infrared sensor. The processor receives the measured values ​​(S) from the one or more detail sensing sensors. i For each combination of ), the confidence (W) in the possibility of malfunction of each of the one or more detail sensing sensors. i :W1, W2, ..., W n ) can be applied based on the sensor reliability table stored in the memory. Reliability-based fire condition evaluation score F state′ can be defined as = (first coefficient * measured temperature * first confidence level) + (second coefficient * measured smoke particle concentration * second confidence level) + (third coefficient * measured specific type of gas concentration * third confidence level) + (fourth coefficient * measured infrared emission amount * fourth confidence level). If the average of the first confidence level, the second confidence level, the third confidence level, and the fourth confidence level is less than or equal to a set critical mean, the processor is: the confidence-based fire condition evaluation score F state The system may be configured to determine the transition of the current fire state based on a comparison of ' with the first critical evaluation score, the second critical evaluation score, the third critical evaluation score, and the fourth critical evaluation score.

[0089] According to various embodiments of the present invention, the fire detection sensor can be composed of various detailed sensing sensors such as a temperature sensor, a smoke particle concentration sensor, a specific type of gas concentration sensor, and an infrared sensor. The present invention provides a sensor reliability-based evaluation method that evaluates the reliability of each of these sensors and reflects this in the determination of the fire state. The processor multiplies the measured value received from each sensor by a pre-stored sensor reliability value to obtain a reliability-based fire state evaluation score (F state By calculating '), it is possible to automatically correct or mitigate malfunctions or abnormal measurements of some sensors. This reduces false detections due to sensor failures or abnormal values ​​that can frequently occur in real-world sensor environments, enabling more precise and reliable fire condition assessment.

[0090] To more effectively apply this sensor reliability-based evaluation method, according to various embodiments of the present invention, each detailed sensing sensor constituting a fire detection sensor is based on a different sensing principle, and therefore the fire judgment criteria may also differ depending on the type of sensor. Accordingly, the fire judgment of each sensor can be performed individually based on a comparison of the critical value set for that sensor and the measured value received from that sensor. For example, a temperature sensor will judge a fire if the temperature is above a set critical temperature, a smoke particle concentration sensor will judge a fire if the concentration is above a set critical concentration, and specific types of gas concentration sensors and infrared sensors can also generate a fire judgment output based on whether or not their respective critical values ​​are exceeded. The judgment results of such individual sensor criteria can then be used as basic data for updating the reliability of each sensor through cross-correlation analysis or predictive performance evaluation, thereby enabling long-term and sustainable sensor reliability management.

[0091] Furthermore, the present invention is designed not to force a fire state transition determination even if the average reliability of each sensor falls below a set critical average, thereby preventing false alarms based on incomplete sensor data. This allows the system to perform conservative decisions that comprehensively consider the state of all sensors, minimizing resource waste and confusion caused by incorrect responses. As a result, the present invention provides a technical effect that improves the precision and stability of the overall system in a multi-sensor-based fire detection system through an evaluation algorithm based on data reliability.

[0092] According to various embodiments of the present invention, the processor is: the reliability-based fire condition evaluation score F state ' Time rate of change (d Fstate Calculate the (' / dt) and the reliability-based fire condition evaluation score F state The aforementioned rate of change over time (d Fstate If ' / dt) exceeds the set rate of change of the rate of increase in risk, the system may be configured to perform the transition to a fire state one level higher than the current fire state, even if the reliability-based fire state evaluation score Fstate' is less than or equal to the first critical evaluation score, the second critical evaluation score, the third critical evaluation score, or the fourth critical evaluation score.

[0093] According to various embodiments of the present invention, the processor has a reliability-based fire condition evaluation score F state ' Time rate of change (d Fstate By analyzing the ' / dt) in real time, it becomes possible to move beyond simple static comparison of evaluation scores and respond dynamically according to the rapid progression of fire signs. In other words, even if the current fire condition is at a minor level, if the rate of increase in the evaluation score exceeds a certain standard, a preemptive transition to a higher fire condition can be carried out to achieve an early response effect. This has great technical significance in that it can quickly capture the rapid initial stages of fire spread that may be overlooked with traditional methods, and provide both the user and the system with opportunities for earlier and more proactive response.

[0094] Furthermore, the present invention realizes a predictive warning mechanism that can sense the severity of a situation even if the score itself does not exceed a critical value, through such time-rate-of-change-based transition judgment. This prevents the problem of delayed fire response due to delayed reflection of evaluation scores, even in dangerous situations where the actual fire rapidly deteriorates, enabling a more agile and precise hierarchical fire response strategy. As a result, the present invention provides a technical effect that improves the sensitivity and response speed of a fire detection system by combining a time-rate-of-change element with a reliability-based quantitative evaluation.

[0095] According to various embodiments of the present invention, the processor: for each time interval (T), the measured values ​​(S) received from one or more detail sensing sensors i :S1, S2, ..., S n Based on the time-series data of each of the aforementioned measured values ​​(S i Cross-correlation coefficient between (Corr(S)) i S j )) or similarity score (Sim(S i S j )) calculate; and based on the cross-correlation coefficient or the similarity score, (i) specific sensor (S k ) If the fire judgment output of the sensor repeatedly shows a low correlation with the fire judgment output of other sensors, or (ii) the specific sensor (S kIf the frequency of the fire judgment output of the specified sensor (S) being inconsistent with the fire judgment prediction pattern of other sensors exceeds a predetermined number, then the specified sensor (S) k ) reliability (W k (iii) the process of reducing the specific sensor (S k If the fire judgment output of the specified sensor (S) has a high correlation with the fire judgment output of other sensors, and has high predictive performance for multiple recent fire judgment events, then the specified sensor (S k ) reliability (W k The system may be configured to repeatedly perform the process of increasing the confidence level and to automatically update the confidence level table stored in memory in real time.

[0096] The processor calculates the cross-correlation coefficient (Corr(S)) between the measured values ​​of the two sensors based on the time-series data. i S j To calculate Corr(S), the Pearson correlation coefficient formula can be applied after performing mean removal (normalization) and normalization processes on the measurement sequences of sensor Si and sensor Sj for a specified time interval (T). In this case, Corr(S) i S j This value represents the degree of linear correlation between the measured values ​​within the given time interval, calculated as a continuous real value between -1.0 (negative correlation) and +1.0 (positive correlation), with a value closer to 0 indicating a lower correlation. Through this, the processor can quantitatively determine whether the discrimination results between sensors show similar patterns.

[0097] On the other hand, the similarity score (Sim(S i S j )) are two sensors i S jTo evaluate the similarity between measurement sequences within a time interval (T), cosine similarity, Dynamic Time Warping (DTW), or Euclidean distance-based similarity can be applied and calculated. For example, after converting the time-series data from each sensor into vectors, calculating the cosine similarity between them can yield a similarity score with a value between -1.0 and +1.0, where a value closer to 1.0 indicates a more similarity in the fire detection output trends of the two sensors. Such similarity scores can be useful in analyzing the synchronization of output patterns between sensors and reflecting this in real-time reliability evaluations.

[0098] According to various embodiments of the present invention, the processor can perform dynamic reliability evaluation of the inter-sensor judgment consistency basis by utilizing time-series data received from multiple detailed sensing sensors to calculate the cross-correlation coefficient or similarity score between sensors. Such a reliability evaluation method provides an active correction mechanism that can identify and reflect sensor malfunctions or abnormal data in real time by automatically reducing the reliability of a sensor if the fire judgment of that sensor repeatedly shows a different trend from other sensors or does not match the predicted pattern. Therefore, it is possible to improve the reliability and accuracy of the entire system and prevent false alarms or missed alarms due to incorrect judgments when errors occur.

[0099] Even though each sensor has different judgment criteria, the fire judgment results output by each sensor can be consistently evaluated from a common perspective: whether or not the judgment is reliable. That is, whether a temperature sensor judges a fire based on exceeding the critical temperature, or whether a smoke sensor judges a fire based on exceeding the concentration, the reliability of the judgment can be quantitatively calculated by comparing and analyzing it based on the time-series correlation or predictive agreement with other sensors. Through this, despite the heterogeneity of the sensors, the overall system can perform more accurate and consistent fire judgments through an integrated evaluation system, and a structural foundation is provided that allows the effectiveness of a specific judgment result to be evaluated relatively in relation to the results from other sensors.

[0100] Furthermore, the present invention increases the reliability of a particular sensor when its judgment consistently shows a high correlation with other sensors and a high success rate in past predictions. By repeatedly performing this process and automatically updating the sensor reliability table in real time, the invention can actively compensate for accuracy degradation due to environmental changes and sensor aging. As a result, the technical configuration of the present invention goes beyond simply collecting sensor data and provides a technical effect that enhances the precision and stability of fire condition evaluation through inter-sensor comparison and adaptive reliability adjustment functions of the inference platform.

[0101] When an embodiment of the present invention is implemented using hardware, the processor of the present invention may be equipped with ASICs (application-specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), etc., configured to perform the present invention.

[0102] On the other hand, the methods described above can be created in programs that can be executed on a computer and can be implemented in a general-purpose digital computer that runs such programs using a computer-readable medium. Furthermore, the data structure used in the methods described above can be recorded on a computer-readable storage medium through various means. A program storage device that may be used to describe a storage device containing executable computer code for performing the various methods of the present invention should not be understood to include transient objects such as carrier waves or signals. The computer-readable storage medium includes storage media such as magnetic storage media (e.g., ROMs, floppy disks, hard disks, etc.) and optically readable media (e.g., CD-ROMs, DVDs, etc.).

[0103] The embodiments described above are combinations of the components and features of the present invention in a predetermined form. Each component or feature should be considered optional unless otherwise explicitly mentioned. Each component or feature may be implemented in a form not combined with other components or features. It is also possible to combine some components and / or features to constitute embodiments of the present invention. The order of operations described in the embodiments of the invention may be changed. Some components or features of one embodiment may be included in other embodiments, or replaced with corresponding components or features of other embodiments. It is obvious that claims that are not explicitly referenced in the claims may be combined to constitute embodiments, or may be included as new claims by amendments after filing.

[0104] It will be apparent to those ordinary art in the field to which the present invention pertains that the present invention can be embodied in other forms without departing from the technical spirit and essential features of the present invention. Therefore, the above embodiments are not restrictive and should be considered in all illustrative aspects. The scope of the present invention should be determined by a reasonable interpretation of the appended claims and all possible variations within the equivalent scope of the present invention.

Claims

1. In the first fire prevention system for preventing the spread of fire at the first electric vehicle charging station, A shielding curtain installed above the first charging area within the first electric vehicle charging station, configured to be deployed in the event of a fire to block part or all of the charging area; A deployment device configured to unfold the aforementioned shielding curtain, which is folded or rolled up before the occurrence of the fire, when the fire occurs; A fire detection sensor configured to detect the occurrence of the fire in the first charging area, The fire detection sensor is configured to detect the occurrence of a fire based on one or more of the following: the temperature measured in the first charging area, the smoke particle concentration, the specific type of gas concentration, and the infrared emission amount. The measured concentration of a specific type of gas is the concentration of at least one of the following gases: carbon monoxide, carbon dioxide, volatile organic compounds (VOCs), hydrogen, and methane; Warning output devices including visual and auditory warning devices; Includes transceiver; memory; processor; The processor is functionally connected to the deployment device, the fire detection sensor, and the warning output device. The memory stores instructions for the fire response actions performed by the processor. The aforementioned corresponding operation is, A step of deploying the barrier curtain using the deployment device; A step in which the aforementioned warning output device outputs a fire warning for the fire; Includes, The processor is configured to perform the response action to the fire based on the transition of the current fire state among the set fire states. The aforementioned fire conditions include, in order of urgency, idle state, first alert state, second alert state, critical state, and emergency state. The aforementioned standby state is a state in which no fire has been detected. The first fire prevention system further includes: a fire extinguishing device configured to spray a fire extinguishing agent within the first charging area; a power cut-off device configured to cut off the power to the charging device within the first charging area; the processor is functionally connected to the fire extinguishing device and the power cut-off device. Multiple electric vehicle charging stations, including the first electric vehicle charging station, are located within a parking lot consisting of one or more levels, and each of the multiple second electric vehicle charging stations, excluding the first electric vehicle charging station, includes a second fire response system having the same configuration as the first fire prevention system, and the first fire prevention system and the multiple second fire response systems are connected to each other via a communication network. The corresponding operation corresponding to the standby state includes: maintaining the standby state of the first fire prevention system, The corresponding action corresponding to the first attention state includes: initiating the output of visual and auditory warnings by the warning output device, The corresponding action for the second warning state includes: shutting off the power to the charging device with the power shut-off device, deploying the shielding curtain over a portion of the first charging area with the deployment device, and transmitting a fire warning message to one or more terminal devices related to the management of the parking lot with the transceiver. The response to the aforementioned dangerous condition includes: deploying the shielding curtain over the entire first charging area, spraying the fire extinguishing agent within the first charging area using the fire extinguishing device, and transmitting an instruction message for deploying the corresponding shielding curtain and issuing a warning output over a portion of the charging area corresponding to the plurality of second electric vehicle charging stations. The response action in response to the emergency condition includes: a first fire prevention system that transmits to the plurality of second fire response systems instructions to deploy a corresponding shielding curtain over the entire corresponding charging area, to spray a fire extinguishing agent from a corresponding fire extinguishing device or to transmit a specific warning output message depending on the distance of the corresponding second electric vehicle charging station from the first electric vehicle charging station or from an emergency exit.

2. The processor is configured to perform the transition of the current fire state based on the fire state evaluation score, The aforementioned fire state evaluation score Fstate is defined as: (first coefficient * measured temperature) + (second coefficient * measured smoke particle concentration) + (third coefficient * measured specific type of gas concentration) + (fourth coefficient * measured infrared emission amount), The transition of the current fire state is determined based on a comparison of the fire state evaluation score Fstate and the critical evaluation score for each of the fire states. If the fire state evaluation score Fstate is less than or equal to the first critical evaluation score, the current fire state is determined to be the standby state. If the fire state evaluation score Fstate exceeds the first critical evaluation score but is less than or equal to the second critical evaluation score, the current fire state is determined to be the first caution state. If the fire state evaluation score Fstate exceeds the second critical evaluation score but is less than or equal to the third critical evaluation score, the current fire state is determined to be the second caution state. If the fire state evaluation score Fstate exceeds the third critical evaluation score but is less than or equal to the fourth critical evaluation score, the current fire state is determined to be the dangerous state. The first fire prevention system according to claim 1, wherein if the fire state evaluation score Fstate exceeds the fourth critical evaluation score, the current fire state is determined to be the emergency state.

3. The processor is configured to adjust the output pattern of the warning output device based on the transition of the current fire condition. Based on the priority table corresponding to the current fire condition, a first priority is set among the visual output items that can be output by the warning output device. Based on the priority table, a second priority is set among the auditory output items that can be output by the warning output device. Based on the first priority and the second priority, the output weight and output order of the visual output items and the auditory output items are dynamically determined. In the first alert state: the visual and auditory output items are less stimulating and more information-based than in other fire states, the flashing of the visual warning is slower than in other fire states, the visual warning includes the output of a warning icon indicating a fire, and the auditory warning has a higher proportion of information transmission through sound than the output of a siren. In the second attentional state: the visual and auditory output items are configured to be more stimulating and attention-grabbing than in the first attentional state, the visual warnings flash faster than in the first attentional state, the hue of the visual warnings is closer to red than in the first attentional state, and the auditory warnings include repetitive notifications of warning phrases of a shorter length than in the first attentional state. In the aforementioned hazardous conditions: the visual and auditory output items include a fire warning and guidance for evacuation; the visual warning includes strobe flashing and a pulling light effect; and the auditory warning includes a high-pitched, repetitive siren sound and a clear emergency voice message simultaneously. In the aforementioned emergency situation: the visual and auditory output items include a greater emphasis on guiding evacuation actions than in the aforementioned hazardous situation; the visual warnings include route guidance to emergency exits; and the auditory warnings include immediate evacuation guidance along with route guidance to emergency exits. The aforementioned visual and auditory warnings are output in a manner that allows multiple tasks to be performed simultaneously, and the visual and auditory output items are output based on non-preemptive scheduling to prevent output collisions. The processor is further configured to execute a condition-based dynamic response layering algorithm for multiple charging zones within a building. The aforementioned dynamic response hierarchical algorithm is: (1) A step of calculating the first distance from the first electric vehicle charging station, the difference in levels, and the second distance from the nearest emergency exit for each of the multiple second electric vehicle charging stations; (2) For each of the plurality of second electric vehicle charging stations, the risk level R = (fifth coefficient / first distance) + (sixth coefficient * absolute value of the difference between the layers) + (seventh coefficient * second distance) is calculated; (3) For each of the multiple second electric vehicle charging stations, a step is to determine the response level information within the monitoring level, primary response level, and secondary response level based on the risk level R; (4) The first fire prevention system according to claim 2, further comprising the step of transmitting instruction messages to the plurality of second fire response systems corresponding to each of the plurality of second electric vehicle charging stations based on the corresponding hierarchical information, to control different levels of deployment of a shielding curtain, spraying of fire extinguishing agent, or output of a warning.

4. The success of deploying the barrier curtain can be confirmed based on whether the tension detected by the deployment device during the deployment of the barrier curtain corresponds to the set critical tension. If, after an attempt to deploy the said barrier curtain, the successful deployment of the barrier curtain is not confirmed within a set time, the processor determines that the deployment of the barrier curtain has failed, retrieves the barrier curtain again with the deployment device, and then retryes the deployment of the barrier curtain. The deployment of the aforementioned barrier curtain can be retried up to the maximum number of retries. Each time the number of retries for deploying the shielding curtain increases, the processor is configured to have the deployment device retry the deployment at a lower deployment speed and higher power than the most recent deployment attempt. The first fire prevention system according to claim 3, wherein in a retry, the amount of reduction in deployment speed and the amount of increase in power are based on a set offset.

5. If the deployment of the barrier curtain has been retried to the maximum number of retries, but the successful deployment of the barrier curtain has not been confirmed, The aforementioned processor is: It was determined that the deployment of the aforementioned barrier curtain had completely failed, The spray intensity of the fire extinguishing agent in the first charging area is increased, The transceiver transmits a message to one or more terminal devices related to the management of the parking lot indicating a complete failure to deploy the barrier curtain. The first fire prevention system according to claim 4, wherein the transceiver is configured to transmit a modification instruction message to each of the plurality of second fire response systems corresponding to each of the plurality of second electric vehicle charging stations, which controls the degree to which the shielding curtain is deployed, the degree to which fire extinguishing agent is sprayed, or the degree to which a warning output is increased compared to before.

6. The aforementioned processor is: The time-series data for one or more of the measured temperature, measured smoke particle concentration, measured specific type gas concentration, and measured infrared emission amount are accumulated and stored in the memory. The predictive model in software form stored in the memory generates predictive information on the change trend of the fire state evaluation score Fstate based on the time series data. The first fire prevention system according to claim 2, wherein, if an exceedance of the fourth critical evaluation score of the fire state evaluation score Fstate is predicted based on the change trend prediction information, the system is configured to preemptively perform the corresponding action corresponding to a fire state with a higher degree of urgency than the current fire state before the current fire state transitions to a fire state with a higher degree of urgency.

7. The fire detection sensor includes one or more detail sensing sensors, The aforementioned one or more detail sensing sensors include one or more of the following: a temperature sensor, a smoke particle concentration sensor, a specific type of gas concentration sensor, and an infrared sensor. The aforementioned processor is: For a combination of measured values ​​(Si) received from one or more detailed sensing sensors, the confidence level (Wi: W1, W2, ..., Wn) for the possibility of malfunction of each of the one or more detailed sensing sensors is applied based on the sensor confidence table stored in the memory. The reliability-based fire state evaluation score Fstate' is defined as follows: (1st coefficient * measured temperature * 1st confidence level) + (2nd coefficient * measured smoke particle concentration * 2nd confidence level) + (3rd coefficient * measured specific type of gas concentration * 3rd confidence level) + (4th coefficient * measured infrared emission amount * 4th confidence level), If the average of the first reliability, second reliability, third reliability, and fourth reliability is less than or equal to a set critical mean, the processor is configured to determine the transition of the current fire state based on a comparison of the reliability-based fire state evaluation score Fstate' with the first critical evaluation score, second critical evaluation score, third critical evaluation score, and fourth critical evaluation score, according to claim 1.

8. The aforementioned processor is: The rate of change over time (dFstate' / dt) of the aforementioned reliability-based fire condition evaluation score Fstate' is calculated; The first fire prevention system according to claim 7, wherein if the rate of change over time (dFstate' / dt) of the reliability-based fire state evaluation score Fstate' exceeds a set rate of change of the rate of increase in danger, the system is configured to perform the transition to a fire state one level higher than the current fire state, even if the reliability-based fire state evaluation score Fstate' is less than or equal to the first critical evaluation score, the second critical evaluation score, the third critical evaluation score, or the fourth critical evaluation score.

9. The aforementioned processor is: For each time interval (T), based on the time-series data of measured values ​​(Si: S1, S2, ..., Sn) received from one or more detailed sensing sensors, the cross-correlation coefficient (Corr(Si, Sj)) or similarity score (Sim(Si, Sj)) between each of the measured values ​​(Si) is calculated; Based on the aforementioned cross-correlation coefficient or similarity score, (i) If the fire judgment output of a specific sensor (Sk) repeatedly shows a low correlation with the fire judgment output of other sensors, or (ii) if the frequency of the fire judgment output of the specific sensor (Sk) being inconsistent with the fire judgment prediction pattern of other sensors exceeds a predetermined number of times, a process to reduce the reliability (Wk) of the specific sensor (Sk), (iii) If the fire judgment output of the specific sensor (Sk) has a high correlation with the fire judgment outputs of other sensors and has high predictive performance for several recent fire judgment events, the process of increasing the reliability (Wk) of the specific sensor (Sk) is repeatedly performed; The first fire prevention system according to claim 7, configured to automatically update the reliability table stored in the memory in real time.

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