Fire hazard crowd evacuation device, implementation method, implementation system and medium

By integrating controllers, sensors and alarms into fire crowd evacuation devices, and collecting and analyzing environmental parameters in real-time, the problem that traditional fire signs cannot provide clear escape path guidance is solved, and more efficient and safe fire evacuation is achieved.

CN119904956APending Publication Date: 2025-04-29GUANGDONG OCEAN UNIVERSITY
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Patent Information

Application Number
CN202510022178.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-07
Publication Date
2025-04-29

AI Technical Summary

Technical Problem

Traditional fire signs cannot provide clear escape path guidance in complex environments and cannot be updated in time. When the fire spreads rapidly, the original escape path may no longer be safe.

Method used

Design a fire crowd evacuation device, including a controller, light temperature sensor, gas sensor, alarm and servo camera, by collecting the environmental carbon monoxide concentration, crowd density, crowd flow rate and ambient temperature in real time, controlling the alarm to alarm, and generating route guidance and alarm information through indicator lights and audio players.

Benefits of technology

The device can provide evacuation guidance and alarms according to real-time environmental parameters when a fire occurs, improving escape efficiency and safety, and ensuring that the crowd can leave the fire scene in a timely and orderly manner.

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Abstract

The invention discloses a fire crowd evacuation device, an implementation method, an implementation system and a storage medium, the device is arranged in a building or in the building, and the device comprises a controller, a light temperature sensor, a gas sensor, an alarm and a steering engine camera; the light temperature sensor, the gas sensor, the alarm and the steering engine camera are connected with the controller; the gas sensor is used for collecting the carbon monoxide concentration of the environment; the steering engine camera is used for collecting crowd density and crowd flow velocity; the light temperature sensor is used for collecting environment temperature; and the controller is used for controlling the alarm to give an alarm according to the carbon monoxide concentration, the crowd density, the crowd flow velocity and the environment temperature. The method can be widely applied to the technical field of safety design equipment.
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Description

Technical Field

[0001] The present application relates to the technical field of safety design equipment, and in particular to a fire crowd evacuation device, implementation method, implementation system and storage medium. Background Art

[0002] Fire is an extremely dangerous disaster that poses a serious threat to people's lives and property. When a fire occurs, quickly and effectively guiding people to a safe area is the key to protecting people's lives. However, traditional fire signs cannot accurately guide people, although traditional fire signs can indicate to a certain extent which direction people should flee from the fire scene. However, these signs also have the following limitations: In complex environments such as stairwells and corridor intersections at the fire scene, traditional fire signs often cannot provide clear escape route guidance, which brings trouble and uncertainty to people's escape.

[0003] Traditional fire notice boards are usually static, and information is difficult to update in a timely manner. When the fire spreads rapidly, the original escape route may no longer be safe, and people cannot get timely guidance, resulting in reduced practicality of the evacuation device or evacuation device. Therefore, there are still technical problems that need to be solved in the relevant technology. Summary of the invention

[0004] The purpose of this application is to solve one of the technical problems existing in the prior art to at least a certain extent.

[0005] To this end, one purpose of an embodiment of the present application is to provide a fire crowd evacuation device, implementation method, implementation system and storage medium, which can improve the practicality of the evacuation device or the evacuation device.

[0006] In order to achieve the above-mentioned technical objectives, the technical solutions adopted in the embodiments of the present application include: a fire crowd evacuation device, which is arranged in a building or structure, and includes: a controller, a light and temperature sensor, a gas sensor, an alarm, and a steering gear camera; the light and temperature sensor, the gas sensor, the alarm and the steering gear camera are connected to the controller; the gas sensor is used to collect the carbon monoxide concentration in the environment; the steering gear camera is used to collect the crowd density and the crowd flow rate; the light and temperature sensor is used to collect the ambient temperature; the controller is used to control the alarm to sound an alarm according to the carbon monoxide concentration, the crowd density, the crowd flow rate and the ambient temperature.

[0007] In addition, a fire crowd evacuation device according to the above embodiment of the present invention may also have the following additional technical features:

[0008] Furthermore, in an embodiment of the present application, the alarm includes an indicator light and an audio player; the indicator light is used to generate route guidance, and the audio player is used to generate alarm audio.

[0009] Furthermore, in an embodiment of the present application, the indicator light has indicator lights of several colors; the colors of the indicator lights are used to warn of the risk level in the current environment.

[0010] Furthermore, in an embodiment of the present application, the servo camera is used to change direction by 1° every 50 ms and collect crowd density and crowd flow rate in that direction.

[0011] Furthermore, in an embodiment of the present application, the device also includes a WIFI module; the WIFI module is connected to the controller; the WIFI module is used to upload the carbon monoxide concentration, the crowd density, the crowd flow rate and the ambient temperature to the cloud.

[0012] Furthermore, in an embodiment of the present application, the controller includes a first single-chip microcomputer and a second single-chip microcomputer; the first single-chip microcomputer is connected to the WIFI module; the light and temperature sensor, the gas sensor, the alarm, and the servo camera are connected to the second single-chip microcomputer.

[0013] On the other hand, the embodiment of the present application also provides a method for implementing a fire crowd evacuation device, which is implemented by the above-mentioned device, and the method includes:

[0014] The gas sensor collects the carbon monoxide concentration in the environment, the servo camera collects the crowd density, crowd flow rate and wall temperature, and the light temperature sensor collects the ambient temperature;

[0015] When the carbon monoxide concentration is greater than a first preset threshold, and / or the ambient temperature is greater than a second preset threshold; the controller controls the alarm in the building or structure to sound an alarm based on the carbon monoxide concentration, the ambient temperature, the crowd density and the crowd flow rate.

[0016] Further, in the embodiment of the present application, when the carbon monoxide concentration is greater than a first preset threshold value, and / or the ambient temperature is greater than a second preset threshold value; the controller controls the alarm in the building or structure to sound an alarm according to the carbon monoxide concentration, the ambient temperature, the crowd density, and the crowd flow rate, including:

[0017] The controller controls the indicator light of the target channel in the building or structure to light up and controls the audio player to send out an alarm message according to the carbon monoxide concentration, the ambient temperature, the crowd density and the crowd flow rate; the target channel is the optimal channel obtained by the controller.

[0018] On the other hand, the present application also provides a fire crowd evacuation device implementation system, including:

[0019] at least one processor;

[0020] at least one memory for storing at least one program;

[0021] When the at least one program is executed by the at least one processor, the at least one processor implements a method for implementing a fire crowd evacuation device as described in any one of the invention contents.

[0022] In addition, the present application also provides a computer-readable storage medium, which stores processor-executable instructions. When the processor-executable instructions are executed by the processor, they are used to execute a method for implementing a fire crowd evacuation device as described in any of the above items.

[0023] The advantages and benefits of the present application will be partially given in the following description, and partially become apparent from the following description, or be understood through the practice of the present application:

[0024] The present application can collect the carbon monoxide concentration, crowd density, crowd flow rate and ambient temperature of the environment through a controller, a light and temperature sensor, a gas sensor, an alarm, and a servo camera; according to the carbon monoxide concentration, the crowd density, the crowd flow rate and the ambient temperature, the alarm is controlled to sound an alarm. The device of the present application integrates real-time environmental parameters to provide evacuation guidance and alarms for people in a fire, which can improve the practicality of the device itself. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a structural schematic diagram of a fire crowd evacuation device in a specific embodiment of the present invention;

[0026] Figure 2 A schematic diagram of the steps of a method for implementing a fire crowd evacuation device in a specific embodiment of the present invention;

[0027] Figure 3 It is a structural schematic diagram of a fire crowd evacuation device in another specific embodiment of the present invention;

[0028] Figure 4 A schematic diagram of a flow chart of a method for realizing a fire crowd evacuation method using a CFD and deep learning model in a specific embodiment of the present invention;

[0029] Figure 5 The figure is a schematic diagram of the structure of a system for realizing a fire crowd evacuation device in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0030] The embodiments of the present invention are described in detail below with reference to the accompanying drawings to explain the principles and processes of the fire crowd evacuation device, system, device and storage medium in the embodiments of the present invention.

[0031] The technical solution adopted by the embodiment of the present application includes: a fire crowd evacuation device, which is arranged in a building or a structure, and includes: a controller 111, a light and temperature sensor 112, a gas sensor 113, an alarm 114, and a steering gear camera 115. The light and temperature sensor 112, the gas sensor 113, the alarm 114, and the steering gear camera 115 can be connected to the controller 111; the gas sensor 113 can be used to collect the carbon monoxide concentration of the environment; the steering gear camera 115 can be used to collect the crowd density and the crowd flow rate; the light and temperature sensor 112 is used to collect the ambient temperature; the controller 111 can be used to control the alarm 114 to alarm according to the carbon monoxide concentration, the crowd density, the crowd flow rate, and the ambient temperature.

[0032] Furthermore, in the embodiment of the present application, the alarm 114 includes an indicator light 1141 and an audio player 1142; the indicator light 1141 is used to generate route guidance, and the audio player 1142 is used to generate alarm audio.

[0033] Furthermore, in an embodiment of the present application, the indicator light has indicator lights of several colors; the colors of the indicator lights are used to warn of the risk level in the current environment.

[0034] Furthermore, in the embodiment of the present application, the servo camera 115 is used to change the direction by 1° every 50 ms and collect the crowd density and crowd flow rate in that direction.

[0035] Furthermore, in the embodiment of the present application, the device also includes a WIFI module 116; the WIFI module 116 is connected to the controller 111; the WIFI module can be used to upload carbon monoxide concentration, crowd density, crowd flow rate and ambient temperature to the cloud.

[0036] Furthermore, in the embodiment of the present application, the controller 111 includes a first single-chip microcomputer 1111 and a second single-chip microcomputer 1112 ; the first single-chip microcomputer 1111 is connected to the WIFI module 116 ; the light and temperature sensor 112 , the gas sensor 113 , the alarm 114 , and the servo camera 115 are connected to the second single-chip microcomputer 1112 .

[0037] On the other hand, refer to Figure 2 The embodiment of the present application also provides a method for implementing a fire crowd evacuation device, which is implemented through the above device. The method includes steps S101 and S102.

[0038] S101, the gas sensor collects the carbon monoxide concentration in the environment, the steering gear camera collects the crowd density, crowd flow rate and wall temperature, and the light temperature sensor collects the ambient temperature;

[0039] S102: When the carbon monoxide concentration is greater than a first preset threshold, and / or the ambient temperature is greater than a second preset threshold, the controller controls the alarm in the building or structure to sound an alarm according to the carbon monoxide concentration, ambient temperature, crowd density, and crowd flow rate.

[0040] Further, in the embodiment of the present application, when the carbon monoxide concentration is greater than a first preset threshold value, and / or the ambient temperature is greater than a second preset threshold value; the controller controls the alarm in the building or structure to sound an alarm according to the carbon monoxide concentration, ambient temperature, crowd density, and crowd flow rate, including:

[0041] The controller controls the indicator light of the target channel in the building or structure to light up and the audio player to send out an alarm message according to the carbon monoxide concentration, ambient temperature, crowd density and crowd flow rate; the target channel is the optimal channel obtained by the controller.

[0042] The specific implementation principle of this application is described below with reference to the accompanying drawings:

[0043] Reference Figure 3 The present invention provides a fire crowd dispersal device based on the combination of sound and light, including a single chip microcomputer 1, a steering gear control 2, a thermal imaging camera 3, an audio amplifier 4, a light temperature sensor 5, a CO sensor 6, an indicator light 7, and a WiFi module 8. In some embodiments, the steering gear control 2 and the thermal imaging camera 3 can be integrated into a steering gear camera.

[0044] MCU 1 uses the RTOS real-time operating system to schedule time slices. The servo turns 1° every 50ms. Thermal imaging collects crowd density, crowd flow rate and wall temperature. After Kalman filtering, normalization is performed. The importance of each factor is analyzed through simulated annealing. Finally, deep learning and CFD algorithm analysis channels are performed.

[0045] The light temperature sensor 5 can determine whether the temperature reaches the threshold value and release the low-power sleep mode. The master microcontroller operates the slave microcontroller through the RTOS real-time operating system. The RTOS operating system schedules the thermal imaging camera through time slices to obtain information from corners. The light temperature sensor and the CO sensor directly obtain information. The slave microcontroller transmits the data to the master microcontroller for time slice scheduling and uploads it to the cloud for display through the Wi-Fi module. Then the slave microcontroller receives the instructions of the master microcontroller to indicate the route with the indicator light, and the audio amplifier sends a voice broadcast to indicate the escape route.

[0046] In the above device, the slave microcontroller is not connected to the Wi-Fi module. When the light temperature sensor value changes dramatically, the master and slave microcontrollers will be awakened through the RCC clock to enable other modules. The data obtained by the light temperature sensor is obtained after filtering to prevent abnormal awakening due to inaccurate sampling. After the microcontroller works, it performs collaborative operations through the RT OS real-time operating system, and one of the microcontrollers is responsible for data processing and analysis as the host, and the other microcontrollers are slaves to perform specific operations. The light and temperature sensor collects ambient temperature data, the CO sensor obtains the concentration value of CO (carbon monoxide), and the servo infrared sensor operated by time slice scheduling is responsible for obtaining crowd density and crowd flow rate. When the fire spreads, the indicator light is enabled to indicate the direction, and the voice broadcast issued by the audio amplifier is used to prompt the CO concentration and escape channel. The escape channel is obtained by normalizing the data, calculating the importance of each component through the simulated annealing algorithm, and finally importing the CFD model after the deep learning algorithm. The 3D model of the building must be imported first, and then the location of the fire source is obtained through the light and temperature sensor. If there is a linkage surveillance camera, it is used in conjunction with the surveillance camera. At the same time, the CO sensor and thermal imaging camera obtain the crowd density and crowd flow direction at each point, as well as the CO concentration value. Finally, the CFD model is imported to obtain the corresponding escape channel, and then the slave microcontroller receives instructions to adjust the indicator light, and the audio player issues a warning sound to notify the crowd of the location and direction of the escape channel. In addition, the main control microcontroller transmits cloud app data through the Wi-Fi module, so that rescuers can quickly carry out rescue and clear the fire source. The single-chip computer connected by the real-time operating system realizes the coordinated work of multiple components, improving the efficiency and response speed of the device. The light temperature sensor detects the change of ambient temperature in real time and responds accordingly when a fire occurs. The CO sensor detects the change of CO concentration in real time and responds accordingly when a fire occurs. The thermal imaging camera determines the flow rate of the crowd by calculating the infrared reflection rate, and knows the time when the fire spreads to this place through the refractive index of the high temperature area, and obtains the crowd density through the change of the crowd flow rate. The role of the servo is to achieve the effect of simulating radar by scheduling the real-time change of angle through time slices. The role of the indicator light is to inform the escapee of the danger situation at this point through red, yellow and green to inform the escapee of the escapee. If they are all in red, try to get materials on the spot and wait for rescue.

[0047] The audio amplifier is used to amplify the warning sound stored in advance, and amplify it through the differential circuit to remind people of the location of the escape route. The audio amplifier amplifies and processes the audio signal through an analog circuit or a digital signal processor (DSP). The WiFi module is used to transmit data to the cloud, and the app displays the CO concentration temperature, indicator lights, and rescue status at each point.

[0048] Through this device, this embodiment can achieve the combination of sound and light to disperse and guide the crowd when a fire occurs, thereby improving the efficiency and safety of escape. The device uses technical means such as temperature sensors and thermal imaging cameras for real-time monitoring and analysis, and combines sound and light path indications to provide people with clear escape guidance, thereby improving the orderliness and efficiency of fire escape.

[0049] Reference Figure 4 Real-time monitoring is a vital part of the sound and light dispersal device. It can monitor the smoke concentration, temperature, pressure and other parameters of the fire scene in real time, and transmit the data to the sound and light diffuser, so as to achieve the purpose of precise control of the fire scene. Real-time monitoring usually uses infrared, ultraviolet, laser and other technologies to detect smoke, which can ensure that the fire protection system responds and starts in the shortest time.

[0050] CFD algorithm is a common numerical simulation method in fire sound and light dispersal devices. In this embodiment, the 3D model of the corresponding location is imported. The model is:

[0051]

[0052] Where ρ is the fluid density; V is the velocity vector, u, v, w are the velocity components of the fluid at point (x,,z) at time t; p is the pressure; f is the external force per unit volume of fluid. If only gravity is considered, then f=ρg; the constant μ is the dynamic viscosity.

[0053] At this time, this embodiment uses the conservation of fluid momentum, the conservation of energy formula, and the NS formula to obtain the CO concentration of the nearby points obtained by the CO sensor, the light temperature sensor, and the thermal imaging camera. The temperature and the change of its CO concentration can not only objectively reflect the flow rate, but also solve the predicted CO concentration and temperature of each network cell. At this time, the boundary conditions can be used, such as by setting the temperature CO threshold at 5m away from the device, to determine whether the threshold point has been reached, and then predict the possibility of fire, and then use the audio amplifier and indicator light to remind the escapees in real time whether it is suitable to take this road. The CFD algorithm can simulate the complex environment and flow field of the fire scene, and provide accurate and reliable data support for the design and optimization of the fire sound and light dispersal device. At the same time, the CFD algorithm can also simulate various smoke diffusion parameters under different fire conditions, and achieve more accurate fire fighting through cooperation with the RTOS real-time operating system and other hardware equipment.

[0054] Deep learning technology continuously extracts data from fire scenes simulated by computational fluid dynamics (CFD) algorithms, conducts in-depth analysis and learning on these data, and thus builds an intelligent model that can identify complex environmental factors in fires and predict smoke diffusion patterns. The model uses the CO concentration and temperature of each point obtained by the CFD algorithm. Since the CO flow rate is linearly related to its temperature, the model uses regression analysis in time series prediction to derive the CO concentration and temperature of the point in the future, so as to prevent the fire from spreading to the point after a while after the crowd runs to the point. Through continuous machine learning, the understanding and prediction of fire spread behavior are continuously optimized. After repeated training and verification, the deep learning model can accurately identify the best escape route under specific fire conditions, taking into account the shortest and safest route from the fire source to the safe exit, while avoiding high temperature and highly toxic smoke areas, and providing users with a reliable and intelligently optimized escape plan. This solution is not only based on the accuracy of physical simulation, but also integrates the adaptive and generalization capabilities of machine learning algorithms, significantly improving the accuracy and practicality of fire escape route prediction.

[0055] In summary, the fire crowd evacuation device of the present application has the following advantages:

[0056] This application can provide timely warnings. The sound and light combined device can quickly emit high-intensity sound and flashing light to effectively convey fire alarm signals to the crowd. This can help people quickly realize the existence of fire and increase their awareness of danger.

[0057] This application can guide the crowd to move. The device is usually placed in the key position of the fire evacuation passage, and guides people to quickly leave the fire scene through the safe passage by emitting sound and light. This helps to reduce the confusion and panic of the crowd and improve the efficiency of evacuation.

[0058] This application can improve visibility. Fire scenes are often accompanied by thick smoke and darkness, which makes it difficult for people to escape. The flashing light of the sound and light combined device can effectively improve visibility, help people better identify escape routes and obstacles, and reduce the occurrence of accidents.

[0059] This application can reduce the risk of casualties. When a fire occurs, it is crucial to disperse the crowd in a timely and effective manner. The sound and light combined device can help people quickly leave the fire scene and reduce the risk of being trapped, injured or killed. It plays a positive role in protecting people's lives and safety.

[0060] and Figure 1 Corresponding to the method, the embodiment of the present application also provides a fire crowd evacuation implementation system, the specific structure of which can be referred to Figure 5 ,include:

[0061] at least one processor 1011;

[0062] At least one memory 1012, used to store at least one program;

[0063] When the at least one program is executed by the at least one processor, the at least one processor implements the method for evacuating people from a fire.

[0064] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0065] and Figure 1 Corresponding to the method, an embodiment of the present application further provides a computer-readable storage medium, which stores instructions executable by a processor, and the instructions executable by the processor are used to execute the fire crowd evacuation device when executed by the processor.

[0066] The contents of the above-mentioned fire crowd evacuation device embodiment are all applicable to the present storage medium embodiment. The functions specifically implemented by the present storage medium embodiment are the same as those of the above-mentioned fire crowd evacuation device embodiment, and the beneficial effects achieved are also the same as those achieved by the above-mentioned fire crowd evacuation device embodiment.

[0067] In some optional embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the application is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Optional embodiments are expected, wherein the order of various operations is changed and the sub-operation described as a part of a larger operation is performed independently.

[0068] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present application. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional techniques of the engineer. Therefore, those skilled in the art can implement the present application set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the attached claims and their equivalents.

[0069] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several programs to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0070] The logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable programs for implementing the logical functions, and may be embodied in any computer-readable medium for use by a program execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch and execute a program from a program execution system, device or apparatus), or in conjunction with such program execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by a program execution system, device or apparatus, or in conjunction with such program execution systems, devices or apparatuses.

[0071] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0072] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0073] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0074] Although the embodiments of the present application have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present application, and that the scope of the present application is defined by the claims and their equivalents.

[0075] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the described embodiments. Technical personnel familiar with the field may make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A fire crowd evacuation device, characterized in that: Installed in a building or structure, the device includes: Controller, light and temperature sensor, gas sensor, alarm, steering gear camera; The light and temperature sensor, the gas sensor, the alarm and the steering gear camera are connected to the controller; The gas sensor is used to collect the carbon monoxide concentration in the environment; The steering gear camera is used to collect crowd density and crowd flow rate; The light temperature sensor is used to collect the ambient temperature; The controller is used to control the alarm to sound an alarm according to the carbon monoxide concentration, the crowd density, the crowd flow rate, and the ambient temperature.

2. A fire crowd evacuation device according to claim 1, characterized in that: The alarm includes an indicator light and an audio player; the indicator light is used to generate route guidance, and the audio player is used to generate alarm audio.

3. A fire crowd evacuation device according to claim 2, characterized in that: The indicator light has indicator lights of several colors; the colors of the indicator lights are used to warn of the risk level in the current environment.

4. A fire crowd evacuation device according to claim 1, characterized in that: The servo camera is used to change direction by 1° every 50ms and collect crowd density and crowd flow rate in that direction.

5. A fire crowd evacuation device according to claim 1, characterized in that: The device also includes a WIFI module; the WIFI module is connected to the controller; the WIFI module is used to upload the carbon monoxide concentration, the crowd density, the crowd flow rate and the ambient temperature to the cloud.

6. A fire crowd evacuation device according to claim 5, characterized in that: The controller includes a first single-chip microcomputer and a second single-chip microcomputer; the first single-chip microcomputer is connected to the WIFI module; the light temperature sensor, the gas sensor, the alarm, and the steering gear camera are connected to the second single-chip microcomputer.

7. A method for implementing a fire crowd evacuation device, characterized in that: Used to be implemented by the device described in claims 1-6, the method comprises: The gas sensor collects the carbon monoxide concentration in the environment, the servo camera collects the crowd density, crowd flow rate and wall temperature, and the light temperature sensor collects the ambient temperature; When the carbon monoxide concentration is greater than a first preset threshold, and / or the ambient temperature is greater than a second preset threshold; the controller controls the alarm in the building or structure to sound an alarm based on the carbon monoxide concentration, the ambient temperature, the crowd density and the crowd flow rate.

8. The method for implementing a fire crowd evacuation device according to claim 7, characterized in that: When the carbon monoxide concentration is greater than a first preset threshold value, and / or the ambient temperature is greater than a second preset threshold value; the controller controls the alarm in the building or structure to sound an alarm according to the carbon monoxide concentration, the ambient temperature, the crowd density, and the crowd flow rate, including: The controller controls the indicator light of the target channel in the building or structure to light up and controls the audio player to send out an alarm message according to the carbon monoxide concentration, the ambient temperature, the crowd density and the crowd flow rate; the target channel is the optimal channel obtained by the controller.

9. A fire crowd evacuation device implementation system, characterized in that include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the method for implementing a fire crowd evacuation device as described in any one of claims 7 to 8.

10. A computer-readable storage medium storing instructions executable by a processor, characterized in that: The processor-executable instructions are used to execute the fire crowd evacuation device implementation method as described in any one of claims 7-8 when executed by the processor.

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