Intelligent switching module of air respirator, mask system and use method of mask system

Abstract

The invention discloses an intelligent switching module of an air respirator, the intelligent switching module of the air respirator comprises an adapter main body, a respirator switching port is arranged on the adapter main body, and a canister port and an oxygen port are respectively arranged on two sides of the adapter main body. Comprising a mask body installed at a breathing machine adapter, the mask body is provided with a sensor module, an anti-noise communication module and an augmented reality display module, and the invention further comprises a using method of the intelligent mask of the air breathing apparatus. According to the breathing machine mask provided with the double gas circuits, the multiple sensors are integrated, rescue work can be carried out in the complex environment, the state of rescue workers can be monitored in real time, the rescue work can be commanded, the rescue efficiency is further improved, the life safety of the rescue workers can be further guaranteed, and the safety of the rescue workers is improved. And the danger of fire rescue is further reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of fire rescue, and particularly to an intelligent adapter module for an air respirator, a mask system and a usage method thereof. Background Art

[0002] The environment at the fire scene is complex, and the air is filled with complex gases. Therefore, wearing an oxygen mask is one of the important measures to protect firefighters. Especially in an oxygen-deficient environment, it can avoid the risk of asphyxiation and ensure that firefighters can enter the fire scene to complete rescue tasks. It is an indispensable core equipment for fire rescue.

[0003] The functions of traditional fire rescue respirator masks are single, lacking intelligent monitoring and multi-scenario adaptation capabilities. Firefighters face risks such as oxygen deficiency, high temperature, poisoning, and physical exhaustion in the fire scene. Moreover, the interfaces of the respirator and the gas filter canister are not universal. Before entering the fire scene, only one of them can be carried, and it is necessary to switch back and forth. Therefore, we propose an intelligent adapter module for an air respirator, a mask system and a usage method thereof to solve the above problems. Summary of the Invention

[0004] This application provides an intelligent adapter module for an air respirator, a mask system and a usage method thereof, which solves the problem that the breathing mask in the fire rescue process fails to adapt to complex environments and cannot guide firefighters.

[0005] This application provides an intelligent adapter module for an air respirator, including an adapter body. A ventilator adapter is provided on the adapter body. Filter canister interfaces and oxygen interfaces are respectively arranged on both sides of the adapter body. A one-way valve is installed in the filter canister interface. A filter canister interface cover is installed on the filter canister interface through a first fixing screw. A quick-release cover is installed on the oxygen interface through a second fixing screw.

[0006] Preferably, a first sealing ring is arranged between the one-way valve and the inner wall of the filter canister interface.

[0007] Preferably, a second sealing ring is arranged at the connection between the ventilator adapter and the mask.

[0008] An intelligent mask system for an air respirator includes a mask body installed on the intelligent adapter module for an air respirator. A sensor module, an anti-noise communication module and an augmented reality display module are installed on the mask body.

[0009] Preferably, a thin-film temperature sensor, a MEMS gas sensor and a three-axis accelerometer / gyroscope. The multi-parameter life monitoring module, the non-contact photoelectric sensor, the thin-film temperature sensor, the MEMS gas sensor and the three-axis accelerometer / gyroscope are all integrated on the mask body.

[0010] Preferably, the anti-noise communication module includes a bone conduction microphone and a directional speaker.

[0011] Preferably, the augmented reality display module includes a micro OLED transparent display screen and a laser projection unit.

[0012] Preferably, it further includes a cloud decision-making module, and the cloud decision-making module includes a three-dimensional fire scene modeling module, a reinforcement learning decision-making module, and a risk prediction module.

[0013] Preferably, it further includes a multi-level warning protocol, and the multi-level warning protocol includes setting a secondary warning.

[0014] A method for using an intelligent face mask of a self-contained breathing apparatus includes the following steps:

[0015] Generate a dynamic thermodynamics diffusion simulation through a BIM building information model and thermal imaging data;

[0016] Optimize the fire extinguishing path planning with the Q-learning algorithm;

[0017] Analyze the temporal characteristics of physiological data through an LSTM neural network to warn of hypoxia / poisoning risks;

[0018] Firefighters wear the intelligent face mask system of the self-contained breathing apparatus and enter the fire scene;

[0019] The photoelectric sensor monitors the heart rate at a sampling rate of 100 Hz, the MEMS gas sensor detects the CO concentration, the HUD projects the action route and at the same time conducts voice announcements;

[0020] When it is detected that the heart rate >160 bpm continuously for 5 minutes or the CO concentration rises to 80 ppm, the HUD projects the evacuation route to indicate the firefighters to evacuate.

[0021] As can be seen from the above technical solutions, the present application provides an intelligent adapter module for an air respirator, a mask system and a method of using the same. The breathing mask of the present application adopts a multi-mode gas supply system of an air respirator and a gas filter canister to ensure the breathing safety of firefighters. The main gas path is connected to a compressed air cylinder, and the standby gas path is connected to the gas filter canister. According to the detection of oxygen concentration and toxic gases by sensors, the gas supply mode can be automatically or manually switched. Moreover, the gas filter canister is installed in a detachable mode and can be replaced according to different rescue scenarios. Before entering a fire scene for rescue, first generate a fire scene model based on the BIM building information model and thermal imaging data, then plan a rescue path, and use a micro OLED transparent display screen and a laser projection unit to display the rescue path and surrounding temperature, toxic gas content, remaining amount of oxygen cylinder and data such as the blood oxygen concentration and heart rate of the user on the breathing machine mask, and transmit the above data to the command center in real time. When an abnormal person appears during the rescue process, a mark can be made to request coordinated rescue. When the physical signs of a firefighter are abnormal, the firefighter can be quickly notified to return and a return route can be planned.

[0022] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0023] 1. The present application adopts a dual-gas-path design. The main gas path is connected to a compressed air cylinder, and the standby gas path is connected to a gas filter canister (for filtering toxic gases such as CO and H2S). An intelligent switching valve is built-in, and the gas supply mode can be automatically switched through environmental sensors (oxygen concentration, toxic gas detection), or manual quick switching is supported. The gas filter canister adopts a modular design and can be quickly replaced to adapt to different toxic gas scenarios;

[0024] 2. Through a multi-parameter life monitoring module, a non-contact photoelectric sensor, a thin-film temperature sensor, a MEMS gas sensor and a three-axis accelerometer / gyroscope, the physical signs information and position information of firefighters can be monitored in real time. When an abnormal situation occurs, firefighters can be timely notified to take evasive measures, and it can also assist firefighters in formulating rescue or retreat routes, further improving the safety of fire rescue;

[0025] 3. The data communication of the present application is linked with the command center and connected to the firefighters' portable relay devices to upload vital signs, positions, and cylinder statuses to the command platform. The command platform can monitor the status of all personnel in real time and can quickly dispatch support after detecting abnormalities.

[0026] In summary, through the breathing machine mask with a dual-gas-path setting, the present application integrates multiple sensors, which can not only carry out rescue work in complex environments, but also monitor the status of rescue personnel in real time and direct their rescue work, further improving the rescue efficiency and further ensuring the life safety of rescue personnel, and further reducing the danger of fire rescue. Brief Description of the Drawings

[0027] To more clearly illustrate the technical solutions of the present application, the accompanying drawings required for use in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings without creative efforts.

[0028] Figure 1 An exploded view of an intelligent adapter module for an air respirator proposed by the present invention;

[0029] Figure 2 A first side view of an intelligent adapter module for an air respirator proposed by the present invention;

[0030] Figure 3 A second side view of an intelligent adapter module for an air respirator proposed by the present invention;

[0031] Figure 4 A schematic diagram of the internal structure of an intelligent adapter module for an air respirator proposed by the present invention;

[0032] Figure 5 A schematic diagram of the external structure of an intelligent adapter module for an air respirator proposed by the present invention

[0033] In the figure: 1 adapter body, 2 first fixing screw, 3 filter canister interface cover, 4 first sealing ring, 5 one-way valve, 6 quick-release cover, 7 second sealing ring, 8 second fixing screw, 9 ventilator adapter, 10 filter canister interface, 11 oxygen interface. Specific embodiments

[0034] In order to enable those skilled in the art of this technology to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0035] See Figures 1-5, an intelligent adapter module for an air respirator, comprising an adapter body 1. The adapter body 1 is used for the conversion connection of a ventilator mask, and the material is selected as high-temperature nylon. Specifically, a ventilator adapter interface 9 is provided on the adapter body 1. The adapter body 1 is used to connect with the ventilator mask, and the specific connection can refer to the existing technology. Filter canister interfaces 10 and oxygen interfaces 11 are respectively arranged on both sides of the adapter body 1. This application adopts a dual-airway air supply method to ensure the breathing safety of rescue personnel. The oxygen interface 11 is connected to a compressed air cylinder, and the filter canister interface 10 is connected to a filter canister mainly for filtering toxic gases such as CO and H2S. A switching valve is built into the adapter body 1, which automatically switches the air supply mode through the detection of oxygen concentration and toxic gases by an environmental sensor, or supports manual quick switching. Moreover, the filter canister adopts a modular design and can be quickly replaced to adapt to different poisonous gas scenarios, so as to meet different rescue environments. A one-way valve 5 is installed inside the filter canister interface 10. When the filter canister interface 10 is selected, it can effectively prevent the entry of toxic gases. A filter canister interface cover 3 is installed on the filter canister interface 10 through a first fixing screw 2. During the unused process, it is blocked by the filter canister interface cover 3. Similarly, a quick-release cover 6 is installed on the oxygen interface 11 through a second fixing screw 8. When the oxygen interface 11 is not in use, it is blocked by the quick-release cover 6. This application is a lightweight, highly reliable, and multi-scenario adaptable breathing mask, which improves the safety of firefighters and the fire rescue efficiency.

[0036] In this application, a first sealing ring 4 is arranged between the one-way valve 5 and the inner wall of the filter canister interface 10, and a second sealing ring 7 is arranged at the connection between the ventilator adapter interface 9 and the mask. Both the first sealing ring 4 and the second sealing ring 7 adopt military-grade sealing ring materials, such as fluororubber, and have been simulated and verified by a switching mechanism and have high anti-fatigue ability.

[0037] This application also includes an intelligent mask system for an air respirator, comprising a mask body installed on the intelligent adapter module for the air respirator. The mask body is prepared from polyetheretherketone (PEEK) high-temperature resistant material. A sensor module, an anti-noise communication module, and an augmented reality display module are installed on the mask body;

[0038] Among them, the sensor module includes a non-contact photoelectric sensor. The non-contact photoelectric sensor adopts dual-wavelength reflection measurement, with wavelengths of 660nm - 940nm, and the accuracy is within ±2bpm for heart rate detection. During specific use, the heart rate is monitored at a sampling rate of 100Hz. When it is detected that the heart rate > 160bpm for 5 consecutive minutes, the edge computing unit marks it as "fatigue state" and promptly notifies the firefighters to evacuate;

[0039] A thin-film temperature sensor with a measurement range of 0 - 150°C and a resolution of 0.1°C is used to monitor the surrounding temperature. If the surrounding temperature affects the safety of the firefighters, they are notified to evacuate in time;

[0040] A MEMS gas sensor can detect CO, O2, and HCN gases with a sensitivity of 1 ppm. During specific rescue operations, if the detected CO concentration rises to 80 ppm, it can notify firefighters to evacuate in a timely manner.

[0041] A three-axis accelerometer / gyroscope monitors the motion posture and can monitor the motion state of firefighters during the rescue process. It can promptly detect whether the firefighters are in a normal motion state. After a fall, it can detect it immediately and inquire about the current state, which helps the command center issue instructions.

[0042] The non-contact photoelectric sensor, thin-film temperature sensor, MEMS gas sensor, and three-axis accelerometer / gyroscope are all integrated on the mask body. This application uses flexible circuit boards and miniaturized sensors, making the device lightweight, capable of life monitoring and environmental monitoring, and easy to carry.

[0043] In this application, the anti-noise communication module includes a bone conduction microphone and a directional speaker. Since the noise in the fire scene environment exceeds 100 dB and the speech recognition rate of traditional microphones is lower than 50%, a bone conduction microphone is used during communication. It has a frequency response of 100 - 6000 Hz and a signal-to-noise ratio ≥ 60 dB. For the speaker, a directional speaker is selected, which supports beamforming noise reduction technology, has a frequency response of 100 - 6000 Hz, and a signal-to-noise ratio ≥ 60 dB. During the transmission process, an echo cancellation algorithm (AEC) is used to achieve duplex communication, with low latency and high clarity.

[0044] Furthermore, to improve the reliability of communication, that is, when the speaker fails or cannot operate normally, this application also sets up an augmented reality display module, including a micro OLED transparent display screen. The micro OLED transparent display screen has a resolution of 1280×720 and a brightness of 1000 cd / m 2 , and the laser projection unit uses HUD projection technology. In addition to voice prompt notifications, instructions are also displayed through the micro OLED transparent display screen, and the HUD projects the action route, further ensuring safety in the fire scene.

[0045] Furthermore, this application also includes a cloud decision-making module. The cloud decision-making module includes a three-dimensional fire scene modeling module. Before entering the fire scene, by fusing the BIM building information model and thermal imaging data, a dynamic thermodynamics diffusion simulation is generated to achieve dynamic fire scene modeling and optimization of rescue strategies. The reinforcement learning decision-making module uses temperature gradients, structural stresses, and the remaining amount of gas cylinders to optimize the fire extinguishing path planning and improve rescue efficiency. The risk prediction module uses the time series characteristics of sensor and firefighter physiological data to warn of hypoxia / intoxication risks, further reducing the danger of rescue.

[0046] Furthermore, in the present application, it also includes a multi-level warning protocol, and the multi-level warning protocol includes setting a secondary warning, where:

[0047] Primary warning (voice prompt): When the CO concentration > 50 ppm, trigger the instruction of "It is recommended to turn on the water curtain isolation";

[0048] Secondary warning (vibration + visual warning): When the heart rate continuously > 150 bpm and the body temperature > 39 °C, forcibly lock the movement route and start emergency oxygen supply. Improve safety during the rescue process.

[0049] In the present application, it also includes a method for using an air respirator intelligent mask, including the following steps:

[0050] Generate a dynamic thermodynamic diffusion simulation through the BIM building information model and thermal imaging data to help the command center accurately grasp the fire scene dynamics. Further, the temperature of each fire scene location can be revised through the sensors carried by the firefighters entering, making the model more accurate;

[0051] Optimize the fire extinguishing path planning with the Q-learning algorithm. When planning the route, it is necessary to plan according to the temperature gradient, structural stress, and remaining gas cylinder volume and leave a 5%-8% gas cylinder margin to ensure rescue safety;

[0052] Analyze the time series characteristics of physiological data through the LSTM neural network to warn of the risk of hypoxia / poisoning, and calculate through the existing physiological parameters. When the gas cylinder is insufficient, the firefighter's heart rate increases, the temperature is too high, or the surrounding toxic gas exceeds the standard, give a timely feedback;

[0053] After planning the route, the firefighter wears the air respirator intelligent mask system and enters the fire scene to carry out rescue work according to the route instructions;

[0054] The photoelectric sensor monitors the heart rate at a sampling rate of 100 Hz, the MEMS gas sensor detects the CO concentration, the HUD projects the action route and conducts voice announcements at the same time, and detects the physical signs information and environmental information of the firefighters while commanding the firefighters;

[0055] When it is detected that the heart rate > 160 bpm for 5 consecutive minutes or the CO concentration rises to 80 ppm, the HUD projects the evacuation route to indicate the firefighters to evacuate and avoid causing personal injury to the firefighters.

[0056] Example 1

[0057] The firefighter wears the mask and enters the fire scene. After the system is started:

[0058] 1. The non-contact photoelectric sensor monitors the heart rate at a sampling rate of 100 Hz. When it is detected that the heart rate > 160 bpm for 5 consecutive minutes, the edge computing unit marks it as the "fatigue state";

[0059] 2. The MEMS gas sensor detects that the CO concentration rises to 80ppm, and the cloud decision module calls the building BIM model and generates an avoidance path based on airflow simulation;

[0060] 3. The laser projection unit HUD projects arrow instructions such as "evacuate to *→10m", and at the same time, a voice broadcast is made: "Excessive carbon monoxide is detected, it is recommended to evacuate along the marked route". At the same time, the command center makes real-time corrections to the action route to ensure the safety of the retreat route.

[0061] Example 2

[0062] In multi-person rescue situations

[0063] 1. Upload the remaining quantity of gas cylinders at each node to the cloud decision module;

[0064] 2. The cloud-based decision-making module calculates the optimal supply scheduling plan and sends instructions through the bone conduction microphone: "Staff No. * goes to staff No. ** to hand over the gas cylinder";

[0065] 3. The air respirator mask vibration module prompts the operator to enter standby mode.

[0066] Example 3

[0067] 1. Huawei's Tianji module detected that the firefighter's blood oxygen saturation dropped from 98% to 88% (lasting 10 seconds), triggering the emergency data channel;

[0068] 2. The original data is encrypted with AES-256 and transmitted to the DeepSeek cloud. The Fire-3 model combines the fire scene thermal map to determine that it is a toxic gas leak in a hidden space;

[0069] 3. The system performs the following actions:

[0070] The HUD flashes red to warn you to evacuate immediately.

[0071] Call the TinyFire model to generate the shortest purification path;

[0072] The self-organizing network module sends a collaborative rescue request (including location coordinates and remaining gas cylinders) to teammates.

[0073] Embodiment 4:

[0074] In the scenario of multiple firefighters working together, the DeepSeek model dynamically adjusts task allocation based on the group physiological load data uploaded by the Tianji module:

[0075] When the average heart rate of the three players is detected to be >140bpm, a substitute player will be automatically dispatched to take over the task;

[0076] Intelligently allocate the priority of oxygen supply according to the individual blood oxygen difference (error rate < 5%).

[0077] As can be seen from the above technical solutions, the breathing mask of the present application adopts a multi-mode gas supply system of an air respirator and a gas filter canister to ensure the breathing safety of firefighters. The main gas path is connected to a compressed air cylinder, and the standby gas path is connected to the gas filter canister. The gas supply mode can be automatically or manually switched according to the detection of oxygen concentration and toxic gases by sensors. Moreover, the gas filter canister is installed in a detachable mode and can be replaced according to different rescue scenarios. Before entering the fire scene for rescue, first generate a fire scene model based on the BIM building information model and thermal imaging data, then plan the rescue path, and use the micro OLED transparent display screen and the laser projection unit to display the rescue path and data such as the surrounding temperature, toxic gas content, remaining amount of the oxygen cylinder, and the individual's blood oxygen concentration and heart rate on the breathing mask, and transmit the above data to the command center in real time. When an abnormal person appears during the rescue process, a mark can be made to request coordinated rescue. When the physical signs of a firefighter are abnormal, the firefighter can be quickly notified to return and a return route can be planned.

[0078] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the application disclosed herein. The present application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of the present application and include known common knowledge or conventional technical means in the technical field not disclosed in the present application. The specification and examples are only to be considered as exemplary, and the true scope of the present application is pointed out by the claims.

[0079] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The embodiments of the present application described above do not constitute a limitation on the protection scope of the present application.

Claims

1. An intelligent adapter module for an air respirator, comprising an adapter body (1), characterized in that: A ventilator adapter (9) is provided on the adapter body (1). Filter canister interfaces (10) and oxygen interfaces (11) are respectively arranged on both sides of the adapter body (1). A check valve (5) is installed in the filter canister interface (10). A filter canister interface cover (3) is installed on the filter canister interface (10) through a first fixing screw (2). A quick-release cover (6) is installed on the oxygen interface (11) through a second fixing screw (8).

2. The intelligent adapter module for an air respirator according to claim 1, characterized in that A first sealing ring (4) is arranged between the check valve (5) and the inner wall of the filter canister interface (10).

3. The intelligent adapter module for an air respirator according to claim 1, characterized in that A second sealing ring (7) is arranged at the connection between the ventilator adapter (9) and the face mask.

4. An intelligent face mask system for an air respirator, comprising a face mask body mounted on an intelligent adapter module of the air respirator, characterized in that: A sensor module, an anti-noise communication module, and an augmented reality display module are installed on the face mask body.

5. The intelligent face mask system for air respirator according to claim 4, characterized in that, The sensor module includes a non-contact photoelectric sensor, a thin-film temperature sensor, a MEMS gas sensor, and a triaxial accelerometer / gyroscope. The non-contact photoelectric sensor, the thin-film temperature sensor, the MEMS gas sensor, and the triaxial accelerometer / gyroscope are all integrated on the face mask body.

6. The intelligent face mask system for an air respirator according to claim 5, wherein, The anti-noise communication module includes a bone conduction microphone and a directional speaker.

7. The intelligent face mask system of a self - contained breathing apparatus according to claim 5, wherein, The augmented reality display module includes a micro OLED transparent display screen and a laser projection unit.

8. The intelligent face mask system of an air respirator according to claim 4, wherein It further includes a cloud decision-making module, and the cloud decision-making module includes a three-dimensional fire scene modeling module, a reinforcement learning decision-making module, and a risk prediction module.

9. The intelligent face mask system for air respirator according to claim 4, characterized in that, It further includes a multi-level warning protocol, and the multi-level warning protocol includes setting a secondary warning.

10. A method for using an intelligent face mask of an air respirator, characterized in that, It includes the following steps: Generate a dynamic thermodynamic diffusion simulation through a BIM building information model and thermal imaging data; Optimize the fire extinguishing path planning with the Q-learning algorithm; Analyze the temporal characteristics of physiological data through an LSTM neural network to warn of hypoxia / poisoning risks; Firefighters wear the intelligent air respirator face mask system and enter the fire scene; The photoelectric sensor monitors the heart rate at a sampling rate of 100 Hz, the MEMS gas sensor detects the CO concentration, and the HUD projects the action route while performing voice announcements; When it is detected that the heart rate > 160 bpm continuously for 5 minutes or the CO concentration rises to 80 ppm, the HUD projects the evacuation route to indicate the firefighters to evacuate.

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