Intelligent emergency rescue helmet and system thereof

Abstract

The invention discloses an intelligent emergency rescue helmet and a system thereof, and belongs to the technical field of emergency rescue helmets.The intelligent emergency rescue helmet and the system thereof comprise a helmet body; the environment sensor is arranged on the helmet body and used for monitoring environment values; the rear camera is arranged at the rear part of the helmet body and is used for collecting rear environment images; the thermal imaging unit is arranged at the front part of the helmet body and is used for collecting thermal imaging data; the VR goggles are arranged on the front portion of the helmet body and used for displaying the thermal imaging data, the environment data and the video images. Feedback information of the helmet can be monitored in real time at the terminal, and rescue efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of emergency rescue helmet technology, and more specifically, to an intelligent emergency rescue helmet and system thereof. Background Technology

[0002] A smart helmet is a new type of intelligent device that integrates artificial intelligence, the Internet of Things, and augmented reality technologies into a traditional helmet. It is primarily used in fields such as firefighting, power, policing, transportation, and industrial inspection. Positioned to improve operational safety and command efficiency through real-time data interaction and intelligent sensing, its core components include sensors, communication modules, display systems, and positioning devices. The device features a lightweight design, supports audio and video capture, wireless image transmission, environmental monitoring, and AR information overlay functions, and is equipped with multi-protocol communication modules including Wi-Fi, Bluetooth, and 5G. It can also be customized to meet the needs of different industries.

[0003] While existing smart helmets possess basic emergency rescue functions such as lighting, image monitoring, environmental monitoring, and communication modules, they neglect unforeseen circumstances that may arise during rescue operations. They may fail to detect individuals submerged or hidden in inconspicuous locations within the environment, thus hindering rescue efforts. Furthermore, the area behind the rescuer is a blind spot during the rescue process, making it impossible to prevent injuries from accidents occurring behind them. Finally, in unforeseen circumstances, rescuers may misjudge environmental factors and fail to devise a rescue plan in a timely manner, thus delaying rescue efficiency. Summary of the Invention

[0004] In view of the problems existing in the prior art, the purpose of this invention is to provide an intelligent emergency rescue helmet and system, which can realize real-time monitoring of the helmet's feedback information on the terminal, thereby improving rescue efficiency.

[0005] To solve the above problems, the present invention adopts the following technical solution.

[0006] A smart emergency rescue helmet and system thereof includes a helmet body; an environmental sensor disposed on the helmet body for monitoring environmental values; a rear camera disposed at the rear of the helmet body for acquiring images of the rear environment; a thermal imaging unit disposed at the front of the helmet body for acquiring thermal imaging data; and VR goggles disposed at the front of the helmet body for displaying the thermal imaging data, environmental data, and video footage.

[0007] Furthermore, the helmet body has side camera communication compartments on both sides, each containing a camera and a communication module; the helmet body has a lighting compartment at the upper front, containing an auxiliary lighting module and a GPS positioning module; and the helmet body has a warning light at the upper rear, containing a warning module.

[0008] Furthermore, a gas mask is fixedly installed at the front end of the helmet body, and the gas mask includes a perioral limiting part, a side ventilation groove, and a gas filter.

[0009] Furthermore, a flexible material abutting ring is provided on the periphery of the mouth limiting part to abut against the mouth of the rescuer.

[0010] Furthermore, the VR goggles include a waveguide layer, a support layer, and a protective layer arranged sequentially from the inside out.

[0011] Furthermore, the support layer includes at least one of an anti-fog coating, a photochromic factor, or a polarizing component.

[0012] Furthermore, a fireproof neck warmer is provided around the lower end of the helmet body, and a heart rate sensor is installed on the inner side of the fireproof neck warmer.

[0013] It also includes an intelligent emergency rescue helmet system, comprising an environmental monitoring module for monitoring gas concentration, temperature, humidity, and air pressure in the environment; a physiological monitoring module for monitoring the wearer's heart rate; a visual acquisition module, including a front camera, a rear camera, and a thermal imaging unit, for acquiring front, rear, and thermal imaging video data; a data processing module for receiving and analyzing data from the environmental monitoring module, the physiological monitoring module, and the visual acquisition module to determine whether an alarm condition has been triggered; and an alarm module for issuing sound, light, or vibration alarms based on the judgment result of the data processing module.

[0014] Furthermore, it also includes a terminal server, which receives data uploaded by the data processing module and provides a real-time background monitoring interface to support accident rescue assistance and safety alarms.

[0015] Furthermore, it also includes a communication module and a GPS positioning module, used to upload location information, environmental data, physiological data and video streams to the terminal server in real time, and to receive instructions from the terminal.

[0016] Compared with the prior art, the advantages of this invention are:

[0017] I. This solution integrates environmental sensors, a rear camera, a thermal imaging unit, and VR goggles to achieve comprehensive, multimodal perception and information fusion display of the rescue environment, effectively solving problems such as large blind spots, difficulty in identifying concealed targets, and untimely information feedback in existing technologies.

[0018] Second, by setting side camera communication compartments on both sides of the helmet, integrating cameras and communication modules, and adding a front lighting compartment and a rear warning light, the integration and functional coordination of the equipment are improved, avoiding the inconvenience and safety hazards caused by external equipment, and enhancing the adaptability and warning capabilities in complex environments.

[0019] Third, the fixed installation of gas masks integrates respiratory protection with helmet design, ensuring the breathing safety of rescuers in toxic and harmful environments and reducing the complexity and time delay of equipment wearing.

[0020] Fourth, a flexible sealing ring is set around the mouth of the gas mask, which enhances the seal and comfort between the mask and the face, effectively prevents toxic gases from seeping in, and reduces pressure marks and discomfort caused by prolonged wear.

[0021] V. The VR goggles adopt a multi-layer composite structure of waveguide layer, support layer and protective layer, which provides excellent physical protection and optical stability while ensuring clear display and augmented reality function.

[0022] 6. An anti-fog coating, photochromic factor, or polarizing component is added to the support layer to enable the goggles to adapt to changes in ambient light, prevent fogging, and ensure clear vision and readable information in various harsh environments.

[0023] 7. A fireproof neck warmer with an integrated heart rate monitor on the inside provides physical protection for the neck while enabling real-time, non-intrusive monitoring of the physiological state of rescue personnel, thus improving the timeliness and continuity of safety monitoring.

[0024] 8. By constructing an integrated helmet system that includes modules for environmental monitoring, physiological monitoring, visual acquisition, data processing, and alerts, intelligent perception, fusion analysis, and multi-mode early warning of personnel, environment, and task status have been achieved, significantly improving proactive safety and decision support capabilities in emergency rescue.

[0025] 9. The introduction of terminal servers supports remote data aggregation, real-time monitoring and background assistance, which facilitates the command center to conduct collaborative scheduling, risk assessment and rescue guidance, and improves the efficiency of team operations and the scientific nature of accident response.

[0026] 10. The integrated communication module and GPS positioning module enable real-time uploading and two-way communication of personnel location, environmental data, physiological indicators and video streams, ensuring smooth information flow and command coordination, and providing reliable information support for rapid response and precise rescue. Attached Figure Description

[0027] Figure 1 This is a three-dimensional structural diagram of the smart helmet of the present invention, viewed from the front.

[0028] Figure 2 This is a side sectional three-dimensional structural diagram of the smart helmet of the present invention;

[0029] Figure 3 This is a schematic diagram of the rear-view structure of the smart helmet of the present invention;

[0030] Figure 4This is a schematic diagram of the structural layers of the VR goggles of the smart helmet of the present invention;

[0031] Figure 5 This is a schematic diagram of the process structure of the intelligent helmet system of the present invention.

[0032] Explanation of the labels in the diagram:

[0033] Helmet body 1, side camera communication compartment 11, camera 111, communication module 112, lighting compartment 12, warning light 13, rear camera compartment 14, environmental sensor 141, rear camera 142, buckle strap 15, chin pad 151, buckle 152, gas mask 2, mouth perimeter limiting part 21, tight ring 211, side ventilation slot 22, gas filter element 23, VR goggles 3, waveguide layer 31, support layer 32, protective layer 33, fireproof neck warmer 4. Detailed Implementation

[0034] Example 1:

[0035] Please see Figures 1-4 A smart emergency rescue helmet includes a helmet body 1, a gas mask 2, VR goggles 3, and a fireproof neck warmer 4. The gas mask 2 is fixedly installed at the front end of the helmet body 1, the VR goggles 3 is located on the upper side of the gas mask 2, the periphery of the VR goggles 3 is sealed to the side edge of the helmet body 1, and the fireproof neck warmer 4 is fixedly connected to the lower side of the helmet body 1.

[0036] Specifically, the helmet body 1 includes a side camera communication compartment 11, a lighting compartment 12, a warning light 13, a rear camera compartment 14, and a buckle strap 15. The helmet body 1 is made of carbon fiber. The side camera communication compartments 11 are located on either side of the ears of the helmet body 1, and each compartment contains a camera 111. The camera 111 monitors the rescue environment and provides real-time feedback to a terminal server. Each side camera communication compartment 11 also contains a communication module 112, which has a communication data terminal connected to the terminal server and controls multiple communication targets. The lighting compartment 12 is fixedly located at the upper center of the front of the helmet body 1. It contains an auxiliary lighting module that controls the light source's on / off state. The lighting compartment 12 also contains a GPS positioning module that sends a real-time location signal to the terminal server to ensure the real-time location of the rescue personnel. The lighting compartment 12 is located at the upper center of the front of the helmet body 1, and the corresponding warning light 13 is located at the upper center of the rear of the helmet body 1. A thermal imaging monitor is installed next to the auxiliary lighting module inside the lighting compartment 12, and is connected to the VR goggles 3 to project the central thermal image onto the inner mirror surface of the VR goggles 3. The warning light 13 contains a warning module to control the warning light 13 for alerting the user. The rear camera compartment 14 is fixedly installed at the rear center of the helmet body 1. An environmental sensor 141 is installed inside the rear camera compartment 14 to monitor environmental values. A rear camera 142 is also installed inside the rear camera compartment 14 to monitor the real-time image behind the helmet body 1. Buckle straps 15 are located on both sides of the lower end of the helmet body 1, and each buckle strap 15 includes a strap body, a chin pad 151, and a buckle 152. The helmet body 1 has straps on both sides. A chin pad 151 is set on one side of the strap, and a buckle 152 is set on the other side of the strap. The straps are connected as one unit through the buckle 152, so that the chin pad 151 can wrap around the chin of the rescuer. The connection of the straps as one unit can limit and fix the helmet body 1 to the head of the rescuer.

[0037] Specifically, the gas mask 2 includes a mask shell, a perioral limiting part 21, side ventilation slots 22, and a gas filter 23. The mask shell is fixedly installed with the helmet body 1, and the perioral limiting part 21 is located inside the mask shell to cover the mouth of the rescuer. The side ventilation slots 22 are located on both sides of the mask shell to allow exhaled air to escape. A retaining ring 211, made of flexible material, is integrally provided on the periphery of the perioral limiting part 21 to secure it against the rescuer's mouth, thus protecting the rescuer. The gas filter 23 is located at the outer end of the perioral limiting part 21 and is sealed against its periphery. The gas filter 23 is placed inside the mask shell, and its lower side protrudes from the outside of the gas mask 2 for easy replacement.

[0038] Specifically, the VR goggles 3 include an innermost waveguide layer 31, a middle support layer 32, and an outermost protective layer 33. The waveguide layer 31 transmits image data from the entrance pupil area into itself, and then emits light at different exit pupil areas, "releasing" the light into the eyes of rescue personnel. The support layer 32, located in the middle layer of the VR goggles 3, is made of a high-toughness material such as polycarbonate (PC) or polyester (PET). The support layer 32 also includes an anti-fog coating, which uses hydrophilic materials to evenly diffuse water vapor into a transparent water film, preventing fogging of the lenses. Photochromic factors (such as materials that darken under ultraviolet light) or polarizing components can also be added to the support layer 32 to adapt to different ambient light conditions. The protective layer 33, located on the outermost layer of the VR goggles 3, typically uses a diamond-like carbon composite material (such as diamond-like carbon film DLC) or a polycrystalline diamond sintered body to provide excellent abrasion resistance. Other functional coatings, such as hydrophobic coatings, can be superimposed on or as part of the protective layer 33 to allow water droplets to spread and form a film on the lens surface rather than condense into fog droplets, thereby assisting in anti-fogging.

[0039] Specifically, a fireproof neck warmer 4 is provided around the lower end of the helmet body 1 to protect the neck of the rescuer. A heart rate monitor is installed on the inner side of the fireproof neck warmer 4 near the neck to monitor the heart rate of the rescuer in real time.

[0040] Working principle:

[0041] This intelligent emergency rescue helmet achieves integrated operation of environmental perception, personnel monitoring, and information interaction through the collaborative work of its various modules. Once activated, the helmet's environmental sensors, front and rear cameras, and thermal imaging unit collect real-time data from the scene; physiological sensors monitor the rescuer's condition; all data undergoes preliminary analysis by the built-in processing module and is displayed intuitively through VR goggles. When environmental hazards are detected (such as excessive harmful gases or high temperatures) or abnormal personnel conditions (such as abnormal heart rate), the system automatically triggers sound, light, and vibration warnings and uploads data and location to the command center via the communication module. This enables real-time linkage and intelligent assistance between the field and the backend, thereby improving rescue safety, environmental perception, and execution efficiency.

[0042] Example 2:

[0043] Please see Figure 5 An intelligent emergency rescue helmet system is disclosed. This system controls the activation and deactivation of the intelligent emergency rescue helmet described in Embodiment 1. The helmet system includes a data processing module, a terminal server, a warning module, and a VR goggle display. The data processing module is located within the helmet itself. This module receives real-time data from all acquisition modules and performs fusion analysis and hazard assessment. For example, it combines gas concentration and heart rate data to determine if poisoning or physiological stress has occurred; it combines thermal imaging and camera data for dynamic target detection and recognition; and it determines whether warning conditions are triggered based on environmental data and preset thresholds.

[0044] Specifically, the helmet system also includes a terminal server that receives signals from the data processing module in real time. The terminal server includes at least functions for accident rescue, real-time background monitoring, real-time rescue assistance, and safety alarms. It receives and stores all data uploaded by the helmet and provides a real-time background monitoring interface. Real-time background monitoring allows for real-time viewing of the wearer's video, location, physiological and environmental data. For accident rescue and real-time rescue assistance, once the system detects an accident (such as sudden cardiac arrest or excessive gas levels), it automatically sends a safety alarm to the background, initiates the rescue process, and provides auxiliary information such as the wearer's location and on-site video. Dynamic detection, based on video and thermal imaging data, allows the background to further perform behavioral analysis or hazard identification.

[0045] The helmet system integrates environmental monitoring, physiological parameter monitoring, visual acquisition, data processing, real-time alerts, communication and positioning, and remote assistance modules, forming a complete personal safety and work assistance platform. Using a smart helmet as its carrier, the system achieves real-time perception, assessment, and response to the wearer's status, surrounding environment, and potential hazards through the collaborative work of its modules. Environmental monitoring includes a gas detection unit and temperature, pressure, and humidity acquisition units. The gas detection unit monitors the concentration of harmful gases (such as CH2O and NH3) at the work site in real time and transmits gas threshold information to the data processing module. The temperature, pressure, and humidity acquisition units collect ambient temperature, humidity, and pressure data to assess the comfort and safety conditions of the work environment. Physiological monitoring includes a heart rate detection unit, which monitors the wearer's heart rate in real time using contact or optical sensors, transmitting the data to the data processing module and display unit (such as a VR goggle display or a separate display screen). Visual acquisition includes front-side camera units on both sides, a mid-range thermal imaging unit, and a rear-end camera unit. The front-side camera units provide a wide-angle field of view for obstacle recognition and path recording. The mid-range thermal imaging unit acquires infrared thermal images for human and heat source identification at night or in low-visibility environments. The back-end camera unit monitors the rear environment, enhancing the wearer's environmental awareness. The video stream data acquired by each camera unit is transmitted to the corresponding display unit (front-end, thermal imaging, back-end display) and simultaneously uploaded to the data processing module for further analysis.

[0046] Specifically, when the data processing module determines that an anomaly or danger has occurred, it triggers the following warning units to form a multimodal alert: The sound alert unit emits an alarm tone or voice prompt through a speaker; the light alert unit provides a visual warning through flashing LEDs or color changes; and the vibration alert unit provides a tactile warning through a vibration motor built into the helmet. The warning module integrates these three alert methods and activates the corresponding warning combination based on the event severity.

[0047] Specifically, the GPS positioning module is used to obtain the wearer's geographical location information in real time. The communication module supports wireless data transmission, uploading location information, environmental data, physiological data, video streams, etc., to the terminal server, and can receive instructions or information from the backend. The communication target represents the communication terminal of multiple smart helmets that can be connected, enabling multi-party collaborative operations or rescue command.

[0048] Specifically, the VR goggles project information such as heart rate, gas concentration, environmental data, and video footage into the wearer's field of vision through the waveguide 31 optical system, achieving augmented reality display. The auxiliary lighting module provides illumination in low-light environments to assist the camera unit in its operation.

[0049] Working Principle: Upon power-up of the wearable system, the sensors and camera units begin collecting data. The collected data is sent to the data processing module in real time, while some data (such as video and heart rate) is directly displayed on the VR goggles or a separate screen. The data processing module continuously analyzes the data stream to assess potential hazards. If any parameter exceeds a preset threshold (e.g., excessive harmful gases, abnormal heart rate, or thermal imaging identifying a hazard), an alert module is triggered. Alert feedback is provided by activating one or more of the following methods—sound, light, or vibration—based on the event type and severity, to remind the wearer to be aware or evacuate. Simultaneously, the communication module uploads event data, location information, and real-time video to the terminal server, allowing backend personnel to immediately view and initiate rescue procedures. Remote collaboration is also possible; the backend can send commands to the helmet via the communication module (e.g., switch camera modes, activate lighting) or communicate directly with the wearer via voice. This system is suitable for high-risk or complex environments such as fire rescue, mining operations, chemical plant inspections, field exploration, and emergency rescue, significantly improving worker safety, environmental awareness, and emergency rescue efficiency.

Claims

1. An intelligent emergency rescue helmet and system thereof, characterized in that: Including the helmet body (1); An environmental sensor (141) is installed on the helmet body (1) to monitor environmental values; A rear camera (142) is located at the rear of the helmet body (1) and is used to collect images of the rear environment; A thermal imaging unit is disposed at the front of the helmet body (1) for collecting thermal imaging data; VR goggles (3) are located at the front of the helmet body (1) and are used to display the thermal imaging data, environmental data and video images.

2. The intelligent emergency rescue helmet and system according to claim 1, characterized in that: The helmet body (1) is provided with side camera communication compartments (11) on both sides, which are equipped with cameras (111) and communication modules (112); the upper front part of the helmet body (1) is provided with a lighting compartment (12), which is equipped with an auxiliary lighting module and a GPS positioning module; the upper rear part of the helmet body (1) is provided with a warning light (13), which is equipped with a warning module.

3. The intelligent emergency rescue helmet and system according to claim 1, characterized in that: The front end of the helmet body (1) is fixedly provided with a gas mask (2), which includes a perioral limiting part (21), a side ventilation groove (22), and a gas filter (23).

4. The intelligent emergency rescue helmet and system according to claim 3, characterized in that: The perioral limiting part (21) is provided with a retaining ring (211) made of flexible material on its periphery, which is used to retain the mouth of the rescuer.

5. The intelligent emergency rescue helmet and system according to claim 1, characterized in that: The VR goggles (3) include a waveguide layer (31), a support layer (32), and a protective layer (33) arranged sequentially from the inside to the outside.

6. The intelligent emergency rescue helmet and system according to claim 5, characterized in that: The support layer (32) includes at least one of an anti-fog coating, a photochromic factor, or a polarizing component.

7. The intelligent emergency rescue helmet and system according to claim 1, characterized in that: The lower end of the helmet body (1) is provided with a fireproof neck brace (4), and a heart rate collector is provided on the inner side of the fireproof neck brace (4).

8. An intelligent emergency rescue helmet system, characterized in that, It includes an environmental monitoring module for monitoring gas concentration, temperature, humidity, and air pressure in the environment; The physiological monitoring module is used to monitor the wearer's heart rate; The visual acquisition module includes a front camera, a rear camera, and a thermal imaging unit, used to acquire front, rear, and thermal imaging video data; The data processing module is used to receive and analyze the data from the environmental monitoring module, the physiological monitoring module, and the visual acquisition module, and to determine whether an alarm condition is triggered. The warning module is used to issue sound, light, or vibration warnings based on the judgment result of the data processing module.

9. The intelligent emergency rescue helmet and system according to claim 8, characterized in that: It also includes a terminal server, which receives data uploaded by the data processing module and provides a real-time background monitoring interface to support accident rescue assistance and safety alarms.

10. The intelligent emergency rescue helmet and system according to claim 8, characterized in that: It also includes a communication module (112) and a GPS positioning module, which are used to upload location information, environmental data, physiological data and video streams to the terminal server in real time, and to receive instructions from the terminal.

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