Intelligent identification and automatic opening system for rail transit composite fireproof door

Abstract

The invention discloses an intelligent identification and automatic opening system for a rail transit composite fireproof door, and relates to the technical field of fireproof doors. The personnel recognition module further monitors the walking posture and the staying time of personnel near the fireproof door body through a camera, and the obstacle recognition module judges whether an obstacle appears on the opening path of the fireproof door or not through the image recognition technology and the sensor technology. According to the invention, by identifying the fireproof zone, when a fire occurs, accurate position information can be rapidly provided for the control unit, so that the control unit determines whether the fireproof door should be opened to guide people to evacuate to the safe fireproof zone or to be closed to prevent the fire from spreading to other zones according to a preset fire evacuation strategy; and a rail transit operation management department can conveniently and quickly position the state of the fireproof door in a specific fireproof zone in daily maintenance and monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of fire doors, and specifically to an intelligent recognition and automatic opening system for rail transit composite fire doors. Background Art

[0002] Due to the particularity of the rail transit environment, fire doors need to be frequently opened and closed, which requires the ability to accurately identify various complex scenarios and situations to ensure that the fire doors can be quickly and accurately opened in case of an emergency, providing a safe escape route for passengers. However, existing intelligent recognition technologies still have problems with low recognition accuracy in practical applications, resulting in the system being unable to accurately judge the state of the fire doors, thus affecting the timeliness and accuracy of their automatic opening, and there are certain defects.

[0003] The defects existing in the existing fire door automatic opening systems are as follows: 1. In the patent document CN110512980B, it mainly considers that in the case of power failure, personnel can manually open the door, without considering the problem of low recognition accuracy of existing intelligent recognition technologies in practical applications; 2. In the patent document CN208184512U, it mainly considers how to prevent the spread of fire and reduce accident losses, without considering that the existing fire door recognition and opening system does not introduce Internet of Things technology and cannot monitor the fire doors in real time; 3. In the patent document CN219840549U, it mainly prevents trapped personnel from being scalded when manually pulling the door by automatically opening the fire door, without considering that the existing fire door recognition and opening system has the problem of being unable to identify obstacles. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent recognition and automatic opening system for rail transit composite fire doors to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent recognition and automatic opening system for rail transit composite fire doors, including a fire door system, an intelligent recognition unit, and an intelligent control unit. The fire door system includes door frames and fire door bodies arranged in each fire compartment. The fire door bodies are fixed in the door frames through fire hinges. The intelligent recognition unit uses image recognition technology, deep learning technology, and Internet of Things technology to identify and monitor the state of the fire compartment, personnel, obstacles, and the fire door bodies. The intelligent control unit automatically controls the fire door system according to the information provided by the intelligent recognition unit; The intelligent recognition unit includes a fire compartment recognition module, a personnel recognition module, an obstacle recognition module, a fire recognition module, and a fire door status monitoring module. The fire compartment recognition module is used to obtain the area number, floor, and corresponding fire compartment range where the fire door body is located through a built-in positioning sensor or by connecting to the GIS of the rail transit. The personnel recognition module includes analyzing the facial images of personnel using a high-definition camera and image processing technology. The personnel recognition module also includes monitoring the walking posture and staying time of personnel near the fire door body through a camera. The obstacle recognition module uses image recognition technology and sensor technology to determine whether there are obstacles in the opening path of the fire door. The fire recognition module detects whether a fire has occurred through sensors; The fire door status monitoring module uses sensors and a fire door monitor installed on the wall to monitor the operating status information of the fire door body.

[0006] Preferably, the outer surfaces of the fire door body and the door frame are both sprayed with intumescent fire retardant paint. A door handle is installed on the front of the fire door body, and a protective sleeve is sleeved on the outer surface of the door handle. The protective sleeve is arranged in a sandwich structure, and evenly arranged pressure sensors are arranged in the sandwich layer. The pressure sensors interact with external monitoring equipment to determine whether there are still people trapped in the fire area when the fire door body is closed.

[0007] Preferably, the fire compartment recognition module generates a door leaf status query instruction when the fire door body is recognized.

[0008] Preferably, the intelligent control unit includes an information receiving module, a control terminal, a data processing module, a communication module, and an automatic opening control module. The information receiving module uses an information receiver to receive the information obtained by the intelligent recognition unit. The control terminal is used to receive the door leaf status query instruction. The data processing module uses a central processing unit to analyze and process the information received by the information receiving module. The automatic opening control module controls the opening and closing of the fire door body according to the result of data analysis and processing. The communication module communicates with other systems of the rail transit through wireless communication technology and interacts between the intelligent recognition unit and the intelligent control unit. The automatic opening control module includes motor drive control and door lock control. The motor drive control is connected to the electric drive device of the fire door body and accurately controls the start, stop, speed, and steering of the motor according to the received opening instruction. The door lock control uses an electronic signal control or a mechanical linkage method to make the door lock and the door body act in coordination.

[0009] Preferably, the fire door status monitoring module interacts with the control terminal through the communication module and introduces the Internet of Things technology to realize the real-time monitoring of the fire door body status and the setting of trigger conditions.

[0010] Preferably, the obstacle recognition module further includes predicting whether the obstacle will hinder the opening and closing of the fire door body and the evacuation of people through a deep learning algorithm after the obstacle is recognized.

[0011] Preferably, a data collector is installed on the front of the door frame. The data collector is electrically connected to the pressure sensor, and the data collector is also used to receive the trigger conditions for opening or closing the fire door body.

[0012] Preferably, the operation status information of the fire door body includes accurately monitoring the opening and closing positions of the fire door through position sensors installed on the door frame and the door body, monitoring the locking and unlocking status of the door leaf lock by connecting to sensors on the electronic lock core or mechanical lock in the door lock, and monitoring the health status of the door body by using strain gauges and vibration sensors installed on the door body structure.

[0013] Preferably, the data processing module further includes using data mining and analysis techniques to integrate and analyze the information data received by the information receiving module, and according to preset logical rules and algorithms, analyzing and judging the integrated information. The content of the analysis and judgment includes that when the fire recognition module issues a fire alarm signal, the central processor will decide whether to open some or all of the fire door bodies according to the severity of the fire, the location of the fire door body, and the personnel evacuation situation.

[0014] Preferably, the communication module further includes uploading the operation status information of the fire door body to the central management system in real time through an Ethernet or 4G / 5G communication module.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. By identifying the fire compartment, the present invention can quickly provide accurate location information to the control unit when a fire occurs, so that the control unit can decide whether the fire door should be opened to guide people to evacuate to a safe fire compartment or remain closed to prevent the fire from spreading to other areas according to the preset fire evacuation strategy, which is convenient for the rail transit operation management department to quickly locate the status of the fire doors in a specific fire compartment during daily maintenance and monitoring, improving the management efficiency and emergency response speed.

[0016] 2. By spraying intumescent fire retardant paint on the surfaces of the fire door body and the door frame, when the fire retardant paint comes into contact with the flame, it can expand into microporous foam when encountering fire, effectively isolating the flame from contacting the fire door body. And the intumescent fire retardant paint after being burned by the flame will turn into a black substance attached to the surface of the fire door, which can not only play a role in flame retardancy but also protect the fire door from being damaged by the flame, and can improve the fire prevention grade of the fire door to a certain extent.

[0017] 3. By combining image recognition technology and sensor technology, the present invention monitors the area in front of the fire door in real time to ensure that the fire door can be opened and closed normally. An HD camera installed above or near the fire door continuously captures images of the area in front of the door, and computer vision algorithms are used to process and analyze the images. The algorithms can identify the shapes, sizes, and positional relationships of various objects in the images, and determine whether there are objects in the opening path of the fire door. At the same time, the sensor can also detect the moving speed and direction of the objects, so that the system can predict whether the obstacles will enter the dangerous area when the door is opened. If there are obstacles, the system will take corresponding measures according to the situation, such as issuing an alarm to prompt the personnel to move the obstacles, or trying to adjust the opening angle or method of the fire door to avoid the obstacles under the premise of ensuring safety.

[0018] 4. The present invention uses data mining and analysis technologies to analyze the passage habits of personnel, the probability trend of fire occurrence, etc., providing a basis for optimizing the system control strategy. When receiving the authorized personnel information from the personnel recognition module and there is no fire alarm and obstacle information, the data processing module will determine to allow the fire door to open and send the opening instruction to the automatic opening control module. When the fire recognition module issues a fire alarm signal, the data processing module will decide whether to open some or all of the fire doors to facilitate personnel evacuation, or keep some fire doors closed to prevent the spread of fire according to factors such as the severity of the fire, the location of the fire door, and the personnel evacuation situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is the system composition diagram of the present invention; Figure 2 is the schematic assembly structure diagram of the fire door body and the door frame of the present invention; Figure 3 is the longitudinal sectional view of the door frame of the present invention; Figure 4 is the schematic plane assembly structure diagram of the protective sleeve and the pressure sensor of the present invention.

[0020] In the figure: 1. Door frame; 2. Fire door body; 3. Protective sleeve; 4. Pressure sensor; 5. Data collector. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] In the description of the present invention, it should be noted that, unless otherwise clearly specified and defined, terms such as "installation", "provided with", "connection", etc. shall be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] Please refer to Figure 1 and Figure 2 , an embodiment provided by the present invention: an intelligent recognition and automatic opening system for a rail transit composite fire door, including a fire door system, an intelligent recognition unit, and an intelligent control unit. The fire door system includes a door frame 1 and a fire door body 2 arranged in each fire compartment. The fire door body 2 is fixed in the door frame 1 through a fire hinge. The intelligent recognition unit uses image recognition technology, deep learning technology, and Internet of Things technology to identify and monitor the fire compartment, personnel, obstacles, and the state of the fire door body 2. The intelligent control unit automatically controls the fire door system according to the information provided by the intelligent recognition unit. The intelligent recognition unit includes a fire compartment recognition module, a personnel recognition module, an obstacle recognition module, a fire recognition module, and a fire door state monitoring module. The fire compartment recognition module is used to obtain the area number, floor, and corresponding fire compartment range where the fire door body 2 is located by an internal positioning sensor or connected to the GIS of the rail transit. The personnel recognition module includes analyzing the facial image of personnel using a high-definition camera and image processing technology. The personnel recognition module also includes monitoring the walking posture and staying time of personnel near the fire door body 2 through a camera. The obstacle recognition module uses image recognition technology and sensor technology to determine whether there are obstacles on the opening path of the fire door. The fire recognition module detects whether a fire has occurred through a sensor. The fire door state monitoring module uses sensors and a fire door monitor arranged on the wall to monitor the operation state information of the fire door body 2. The fire compartment recognition module generates a door leaf state query instruction when the fire door body 2 is recognized. The obstacle recognition module also includes predicting whether the obstacle will hinder the opening and closing of the fire door body 2 and the evacuation of personnel through a deep learning algorithm after the obstacle is recognized.

[0024] Furthermore, the fire compartment identification module accurately obtains data such as the area number, floor, and corresponding fire compartment range where the fire door is located by means of built-in positioning sensors or connection to the GIS of rail transit. In the event of a fire, it can quickly provide accurate location information to the control unit, so that the control unit can decide whether the fire door should be opened to guide personnel to evacuate to a safe fire compartment or remain closed to prevent the spread of fire to other areas according to the preset fire evacuation strategy. This facilitates the rail transit operation management department to quickly locate the status of the fire doors in specific fire compartments during daily maintenance and monitoring, improving management efficiency and emergency response speed. If there is a malfunction or need for maintenance of equipment in a certain fire compartment, the corresponding fire doors can be accurately found through the fire compartment identification module and corresponding measures can be taken.

[0025] Personnel identification uses high-definition cameras to collect facial images of personnel, deeply analyzes the facial features and contours of the face through deep learning algorithms, and compares and matches them with the facial information of authorized personnel pre-stored in the database. Fingerprint recognition technology reads the detailed fingerprint patterns of personnel through special fingerprint collectors and compares them with the fingerprint templates in the database. These biometric identification methods have high uniqueness and accuracy, and can effectively prevent unauthorized personnel from entering restricted areas or triggering abnormal opening of fire doors. At the same time, rail transit staff and some authorized personnel are usually equipped with specific smart cards. The personnel identification module can read the personnel identity information stored in the card, such as name, employee number, permission level, etc., through a smart card reader. In addition to identity information identification, it can also analyze the behavior patterns of personnel. For example, by monitoring the walking postures, staying times and other behavioral characteristics of personnel near the fire door through cameras, if abnormal behaviors such as a person lingering near the fire door or attempting to forcibly damage are detected, the system will immediately issue an alarm and notify relevant personnel for handling.

[0026] The obstacle recognition module uses image recognition technology and sensor technology to continuously monitor the area in front of the fire door in real time to ensure that the fire door can be opened and closed normally. It continuously captures images of the area in front of the door through a high-definition camera installed above or near the fire door, and uses computer vision algorithms to process and analyze the images. The algorithm can identify the shapes, sizes, and positional relationships of various objects in the images, and determine whether there are objects on the opening path of the fire door. For example, when detecting obstacles such as suitcases and maintenance tools, the system will calculate the degree of impact of the obstacle on the opening of the fire door based on the position and size of the obstacle. Distance measurement devices such as infrared sensors or laser sensors can also be used to scan the space within a certain range in front of the fire door. These sensors can accurately measure the distance to the object, and when the distance is less than the preset safe opening distance, it is determined that there is an obstacle. At the same time, the sensors can also detect the moving speed and direction of the object, so that the system can predict whether the obstacle will enter the dangerous area when the door is opened. If there is an obstacle, the system will take corresponding measures according to the situation, such as issuing an alarm to prompt the personnel to remove the obstacle, or trying to adjust the opening angle or method of the fire door to avoid the obstacle under the premise of ensuring safety.

[0027] Please refer to Figure 2 、 Figure 3 and Figure 4 For an embodiment provided by the present invention: An intelligent recognition and automatic opening system for a rail transit composite fire door. The outer surfaces of the fire door body 2 and the door frame 1 are both sprayed with intumescent fire retardant paint. A door handle is installed on the front of the fire door body 2, and a protective sleeve 3 is sleeved on the outer surface of the door handle. The protective sleeve 3 is arranged in a sandwich structure, and evenly arranged pressure sensors 4 are arranged in the sandwich. The pressure sensors 4 interact with the externally provided monitoring equipment to determine whether there are still people trapped in the fire area when the fire door body 2 is closed. A data collector 5 is installed on the front of the door frame 1. The data collector 5 is electrically connected to the pressure sensors 4, and the data collector 5 is also used to receive the trigger conditions for opening or closing the fire door body 2.

[0028] Furthermore, by spraying intumescent fireproof paint on the surfaces of the fire door body 2 and the door frame 1, when encountering fire, the fireproof paint can expand into microporous foam, effectively isolating the fire from contacting the fire door body. Moreover, the intumescent fireproof paint after being burned by the fire will turn into black substances and adhere to the surface of the fire door, which can not only play a role in fire retardancy but also protect the fire door from being damaged by the fire. When a fire occurs, if there are still people staying in the fire area after the personnel evacuation, after being checked by the monitoring equipment, it will interact with other systems in the rail transit through the communication module to remind the personnel to evacuate immediately. Or when a fire occurs, when the fire recognition module recognizes the occurrence of a fire, and a person holds the protective cover 3 on the surface of the door handle and wants to open the fire door body 2, if the fire door body 2 does not belong to the one intercepting the fire, the data collector 5 will collect the information of the pressure sensor 4, and the automatic opening control module will open the fire door, facilitating the personnel evacuation. Otherwise, it will open the fire doors in other fire compartments and voice broadcast relevant personnel to evacuate to the corresponding areas.

[0029] Please refer to Figure 1 and Figure 2 , an embodiment provided by the present invention: an intelligent recognition and automatic opening system for a rail transit composite fire door. The intelligent control unit includes an information receiving module, a control terminal, a data processing module, a communication module, and an automatic opening control module. The information receiving module uses an information receiver to receive the information obtained by the intelligent recognition unit. The control terminal is used to receive the door leaf state query instruction. The data processing module uses a central processing unit to analyze and process the information received by the information receiving module. The automatic opening control module controls the opening and closing of the fire door body 2 according to the result of the data analysis and processing. The communication module communicates with other systems of the rail transit through wireless communication technology and interacts between the intelligent recognition unit and the intelligent control unit. The automatic opening control module includes motor drive control and door lock control. The motor drive control is connected to the electric drive device of the fire door body 2, and accurately controls the start, stop, speed, and rotation direction of the motor according to the received opening instruction. The door lock control uses an electronic signal control or a mechanical linkage method to make the door lock and the door body act in coordination. The fire door state monitoring module interacts with the control terminal through the communication module and introduces the Internet of Things technology to realize the real-time monitoring of the state of the fire door body 2 and the setting of trigger conditions. The data processing module also includes using data mining and analysis techniques to integrate and analyze the information data received by the information receiving module, and according to the preset logical rules and algorithms, analyzing and judging the integrated information. The content of the analysis and judgment includes that when the fire recognition module sends out a fire alarm signal, the central processing unit will decide whether to open some or all of the fire door bodies 2 according to the severity of the fire, the location of the fire door body 2, and the personnel evacuation situation. The communication module also includes uploading the operation state information of the fire door body 2 to the central management system in real time through an Ethernet or 4G / 5G communication module.

[0030] Furthermore, the information receiving module is the interface for the intelligent control unit to interact with external devices and sensors. It is responsible for receiving various information signals from the intelligent recognition unit and other related systems. It receives the detailed location information of the fire door area from the fire compartment recognition module, including data such as compartment number, floor, coordinates, etc., so that the control unit can accurately judge the position relationship of the fire door in the entire rail transit network. It receives the personnel identity information transmitted by the personnel recognition module, such as face feature matching results, fingerprint recognition results, smart card reading information, etc., to determine whether the person approaching the fire door is an authorized person, and then decides whether to allow them to pass and the corresponding door control operations. It obtains the information about the obstacles in front of the fire door from the obstacle recognition module, including the position, size, shape, movement status, etc. of the obstacles, so as to reasonably avoid obstacles or issue an alarm to prompt cleaning when controlling the opening of the fire door. It receives the fire alarm signals from the fire recognition module, such as smoke concentration exceeding the standard signal, abnormal temperature rise signal, flame detection signal, etc. Once these signals are received, it immediately triggers the corresponding fire emergency control program. It receives the real-time status information of the fire door feedback by the fire door status monitoring module, such as the opening angle of the door, door lock status, door body health status, etc., which is used to monitor the operation status of the fire door and take timely measures when abnormalities occur.

[0031] The control terminal allows authorized personnel to set and adjust the parameters of the intelligent control unit, such as updating the personnel permission database, setting the time delay for opening and closing the fire door, setting the sensitivity threshold of various sensors, etc. Through an intuitive graphical interface or command line input method, it is convenient for operators to perform personalized configuration of the system according to actual needs. At the same time, it can also display the overall operation status of the fire door system in real time, including the current position (open, closed or interrupted state), door lock status, whether there is a person passing through, whether there is a fire alarm information, and the working status of each module of the intelligent recognition unit of each fire door, and present it to the operator in a visual way, enabling them to clearly understand the operation of the entire system at a glance, facilitating timely discovery of problems and handling. In special cases, such as when the system's automatic control fails, maintenance or emergency requires manual intervention, the control terminal provides operation buttons or command input interfaces for manually controlling the opening and closing of the fire door. Operators can directly control the action of the fire door by inputting specific commands or clicking the corresponding buttons to ensure the safe evacuation of personnel and the effective isolation of fire compartments in case of emergency.

[0032] The data processing module integrates the fragmented data received from different modules and systems by the information receiving module to form a complete information set. For example, it comprehensively analyzes the personnel identity information, the location information of fire doors, whether there is a fire and whether there are obstacles in the surrounding environment, etc., to determine whether the current passage scenario is legal and safe. Through data mining and analysis techniques, valuable information is extracted, such as analyzing the passage habits of personnel, the probability trend of fire occurrence, etc., to provide a basis for optimizing the system control strategy. According to the preset logical rules and algorithms, the integrated information is judged and corresponding decisions are made. For example, when the authorized personnel information transmitted by the personnel identification module is received and there is no fire alarm and obstacle information, the data processing module will determine to allow the fire door to open and send the opening instruction to the automatic opening control module; when the fire identification module issues a fire alarm signal, the data processing module will decide whether to open some or all of the fire doors to facilitate personnel evacuation or keep some fire doors closed to prevent the spread of fire according to factors such as the severity of the fire, the location of the fire door, and the personnel evacuation situation.

[0033] The communication module is responsible for the information communication between the intelligent control unit and other systems inside the rail transit and the external network. It conducts real-time data interaction with the station monitoring system, train control system, fire alarm system, etc. of the rail transit, uploads the status information of the fire doors to the station monitoring system so that the operation management personnel can comprehensively understand the situation of all fire doors in the station, receives the train arrival and departure information sent by the train control system to reasonably control the opening and closing timing of the fire doors in the platform area according to the train operation situation to ensure the safety of passengers getting on and off the train, works in coordination with the fire alarm system. When a fire occurs, it timely receives the fire alarm signal from the fire alarm system and feeds back the emergency control situation of the fire doors to the fire alarm system to achieve fire linkage control. At the same time, the communication module also has the communication ability with the Internet or the remote server of the rail transit operation management center. It can upload the operation data of the fire door system to the remote server through Ethernet or 4G / 5G network to achieve remote monitoring and management. The operation management personnel can view information such as the real-time status, historical operation data, and fault records of the fire doors in each station at the remote server end, which is convenient for the unified management and maintenance of the fire door system of the entire rail transit network. At the same time, when the system needs software upgrade or parameter update, the update package can also be downloaded from the remote server through the external network communication module to achieve the remote upgrade and optimization of the system.

[0034] During the opening process of the fire door, the automatic opening control module is also responsible for monitoring the operating status of the door, such as whether it encounters obstacles, whether the motor is overloaded, whether the door is stuck, etc. Once an abnormality is detected, the door opening action is immediately stopped and corresponding safety protection measures are taken, such as issuing an alarm signal, recording fault information, etc. At the same time, the fault situation is fed back to the data processing module for further fault diagnosis and processing.

[0035] See also Figure 2 An embodiment of the present invention is: an intelligent identification and automatic opening system for rail transit composite fire doors, the operating status information of the fire door body 2 includes accurately monitoring the opening and closing positions of the fire door through position sensors installed on the door frame 1 and the door body, monitoring the locking and unlocking status of the door leaf lock by connecting to the electronic lock core inside the door lock or the sensor on the mechanical lock, and monitoring the health of the door body by using strain gauges and vibration sensors installed on the door body structure.

[0036] Furthermore, position sensors such as limit switches and Hall sensors installed on the fire door frame 1 and the door body can accurately monitor the opening and closing positions of the fire door. When the door is fully open, fully closed or in a certain position in the middle, the central processor can determine whether the door is normally closed according to these signals, whether the door body is not fully closed or accidentally opened after closing. For example, if the fire door is not fully closed when a fire occurs, the system will immediately sound an alarm and try to reclose the door body to ensure the sealing of the fire partition. The door lock status monitoring can monitor the locking and unlocking status of the fire door lock in real time. Connected to the electronic lock cylinder or the sensor on the mechanical lock inside the door lock, when the door lock is in the locked state, the system can receive the locking signal. When receiving a legal opening command and successfully unlocking, the system will receive the unlocking signal. If the door lock is abnormally unlocked without authorization or fails to lock normally when it should be locked, the system will immediately issue an alarm message to prevent unauthorized personnel from opening the fire door without authorization or causing the fire door to lose its due fire and smoke prevention functions due to door lock failure. Door health monitoring uses sensors installed on the door structure, such as strain gauges and vibration sensors, to monitor the health status of the fire door. Strain gauges can measure the deformation of the door body under stress and determine whether the door body is deformed or damaged. Vibration sensors can detect the vibration frequency and amplitude of the door body during the opening and closing process. By analyzing the vibration data, it is found whether there are abnormal wear, looseness and other hidden faults in the door body transmission mechanism. If the door body health status is abnormal, the system will promptly notify the maintenance personnel to inspect and maintain it to ensure that the fire door can work normally at critical moments.

[0037] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claimed invention.

Claims

1. An intelligent recognition and automatic opening system for a composite fire door of rail transit, characterized in that: It includes a fire door system, an intelligent recognition unit, and an intelligent control unit. The fire door system includes door frames (1) and fire door bodies (2) arranged in each fire compartment. The fire door bodies (2) are fixed within the door frames (1) through fire hinges. The intelligent recognition unit uses image recognition technology, deep learning technology, and Internet of Things technology to identify and monitor the fire compartment, personnel, obstacles, and the state of the fire door bodies (2). The intelligent control unit automatically controls the fire door system based on the information provided by the intelligent recognition unit; The intelligent recognition unit includes a fire compartment recognition module, a personnel recognition module, an obstacle recognition module, a fire recognition module, and a fire door state monitoring module. The fire compartment recognition module is used to obtain the area number, floor, and corresponding fire compartment range where the fire door body (2) is located through a built-in positioning sensor or by connecting to the GIS of the rail transit. The personnel recognition module includes analyzing the facial images of personnel using a high-definition camera and image processing technology. The personnel recognition module also includes monitoring the walking posture and staying time of personnel near the fire door body (2) through the camera. The obstacle recognition module uses image recognition technology and sensor technology to determine whether there are obstacles in the opening path of the fire door. The fire recognition module detects whether a fire has occurred through sensors; The fire door state monitoring module uses sensors and fire door monitors arranged on the wall to monitor the operation state information of the fire door body (2).

2. The intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 1, characterized in that: The outer surfaces of the fire door body (2) and the door frame (1) are both sprayed with intumescent fireproof coatings. A door handle is installed on the front of the fire door body (2), and a protective sleeve (3) is sleeved on the outer surface of the door handle. The protective sleeve (3) is set as a sandwich structure, and evenly arranged pressure sensors (4) are arranged inside the sandwich. The pressure sensors (4) interact with external monitoring devices to determine whether there are still people trapped in the fire area when the fire door body (2) is closed.

3. The intelligent recognition and automatic opening system for a composite fireproof door of rail transit according to claim 1, wherein: The fire compartment recognition module generates a door leaf state query instruction when the fire door body (2) is recognized.

4. An intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 3, characterized in that: The intelligent control unit includes an information receiving module, a control terminal, a data processing module, a communication module, and an automatic opening control module. The information receiving module uses an information receiver to receive the information obtained by the intelligent recognition unit. The control terminal is used to receive the door leaf state query instruction. The data processing module uses a central processing unit to analyze and process the information received by the information receiving module. The automatic opening control module controls the opening and closing of the fire door body (2) according to the results of the data analysis and processing. The communication module communicates with other systems of the rail transit through wireless communication technology and interacts between the intelligent recognition unit and the intelligent control unit. The automatic opening control module includes motor drive control and door lock control. The motor drive control is connected to the electric drive device of the fire door body (2) and accurately controls the start, stop, speed, and rotation direction of the motor according to the received opening instruction. The door lock control uses an electronic signal control or a mechanical linkage method to make the door lock and the door body act in coordination.

5. The intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 4, wherein: The fire door status monitoring module interacts with the control terminal through the communication module and introduces Internet of Things technology to realize real-time monitoring of the status of the fire door body (2) and setting of trigger conditions.

6. The intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 1, characterized in that: The obstacle recognition module further includes predicting whether the obstacle will hinder the opening and closing of the fire door body (2) and the evacuation of people through a deep learning algorithm after the obstacle is recognized.

7. An intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 1, characterized in that: A data collector (5) is installed on the front of the door frame (1). The data collector (5) is electrically connected to the pressure sensor (4), and the data collector (5) is also used to receive the trigger conditions for opening or closing the fire door body (2).

8. The intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 1, characterized in that: The operation status information of the fire door body (2) includes accurately monitoring the opening and closing positions of the fire door through position sensors installed on the door frame (1) and the door body, monitoring the locking and unlocking status of the door leaf lock by connecting with sensors on the electronic lock core or mechanical lock in the door lock, and monitoring the health status of the door body by using strain gauges and vibration sensors installed on the door body structure.

9. The intelligent recognition and automatic opening system for a composite fire door of rail transit according to claim 4, characterized in that: The data processing module further includes using data mining and analysis techniques to integrate and analyze the information data received by the information receiving module, and according to preset logical rules and algorithms, analyzing and judging the integrated information. The content of the analysis and judgment includes that when the fire recognition module issues a fire alarm signal, the central processor will decide whether to open some or all of the fire door bodies (2) according to the severity of the fire, the location of the fire door body (2), and the personnel evacuation situation.

10. An intelligent recognition and automatic opening system for a composite fireproof door of rail transit according to claim 4, characterized in that: The communication module further includes uploading the operation status information of the fire door body (2) to the central management system in real time through an Ethernet or 4G / 5G communication module.

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