Internet of Things intelligent safety helmet integrating physiological sign monitoring and environment perception
The IoT smart safety helmet, with its modular design and scientific layout, integrates physiological sign monitoring and environmental perception functions, solving the problems of insufficient adaptability and functional synergy of existing smart safety helmets in high-risk industries. It achieves high-precision data acquisition, stable transmission, and rapid emergency response, making it suitable for diverse work scenarios in high-risk industries.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-08
- Publication Date
- 2026-04-10
AI Technical Summary
Existing smart safety helmet products lack the ability to monitor personnel's vital signs and movement status, have insufficient modular integration, cannot form a full-chain safety management and control system, have poor wearing comfort, and lack environmental adaptability and performance reliability, making them unsuitable for diverse work scenarios in high-risk industries.
Design an IoT smart safety helmet integrating physiological sign monitoring and environmental perception. It includes a helmet body, control module, power module, communication module, video acquisition module, voice intercom module, fall detection module, vital sign monitoring module, and SOS alarm module. Through modular design and scientific layout, the functional modules can work together to achieve synergistic linkage. It supports multiple communication methods and has fall detection, heart rate and blood oxygen monitoring, and emergency assistance functions. Combined with a replaceable lithium battery and solar-assisted charging, it can adapt to complex working conditions.
It achieves high-precision physiological data acquisition and environmental monitoring, improves wearing comfort and ease of operation, ensures stable data transmission, shortens emergency response time, adapts to diverse scenarios in high-risk industries, and builds an intelligent safety management system.
Smart Images

Figure CN121817562A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of intelligent safety helmets, and particularly relates to an Internet of Things intelligent safety helmet integrating physiological sign monitoring and environment sensing. BACKGROUND
[0002] With the accelerated advancement of industrialization and urbanization, the scale of high-risk industries such as building construction, mining, power inspection, petroleum chemical industry and emergency rescue continues to expand, and the safety risks faced by operating personnel are increasingly complex and diverse. Such operating environments generally have characteristics of high risk, high intensity and variable working conditions, and operating personnel are prone to safety hazards such as falling, suffocation, electric shock, poisoning and mechanical injury, which pose a serious threat to personal safety. Although some safety helmet products with preliminary intelligent functions have appeared on the market, they generally have significant defects. First, traditional safety helmets can only provide passive physical protection and completely lack monitoring capabilities of personnel vital signs and motion states and remote information interaction functions, resulting in delayed rescue and asymmetric information in the event of an accident, and the consequences of the accident are expanded. Even if some management parties try to introduce simple monitoring devices, it is difficult to form a full-chain safety management and control system because they cannot be linked with personnel protection equipment, and the safety management efficiency is low. Second, although a few intelligent safety helmet products on the market have basic video monitoring or positioning functions, they have essential technical shortcomings. First, the integration degree of the functional modules is insufficient, and key safety functions such as heart rate and blood oxygen monitoring and one-key emergency alarm are generally missing, and the functional modules lack coordination and linkage, and cannot form a complete safety protection logic. Second, the structural layout design is not scientific, and the module installation position lacks ergonomic and scene adaptation considerations, resulting in poor wearing comfort, inconvenient operation, and affecting the detection accuracy of the sensor and the stability of the communication signal. Third, the environmental adaptability and performance reliability are insufficient, and there are problems such as weak endurance, signal interruption in complex working conditions, high false alarm rate and the like, which cannot adapt to diversified and complex operating scenarios such as tunnels, underground and high altitude, and cannot meet the actual application needs of high-risk industries. SUMMARY
[0003] The purpose of the present application is to provide an Internet of Things intelligent safety helmet integrating physiological sign monitoring and environment sensing to solve the problems raised in the background art.
[0004] In order to solve the above technical problems, the present application provides the following technical scheme: an Internet of Things intelligent safety helmet integrating physiological sign monitoring and environment sensing, comprising a safety helmet main body, a control module, a power module, a communication module, a video acquisition module, a voice intercom module, a falling detection module, a vital sign monitoring module and an SOS alarm module, characterized in that: The safety helmet main body is used for wearing and fixing each module; The control module is used for unified coordination and control of the operation of each module; The power module is used for providing working power for each module; The communication module is used for transmitting the collected data to a remote monitoring background through a wireless network. The video acquisition module includes a camera installed in front of the safety helmet, which is used for collecting live video and uploading; The voice intercom module includes a microphone and a loudspeaker, which is used for realizing two-way real-time voice communication between the working personnel and the background. The fall detection module includes an acceleration sensor and a gyroscope, which is used for detecting the fall or abnormal action of the wearer and triggering an alarm. The vital sign monitoring module includes a photoelectric sensor for collecting the heart rate and blood oxygen of the wearer, and transmitting the data to the background for monitoring. The SOS alarm module includes an independent SOS physical button, which sends an emergency alarm signal and position information to the monitoring background after being pressed.
[0005] As a further technical solution of the application, the control module is internally integrated with a low-power MCU or an embedded processor, which is used for edge computing, state judgment and local data caching.
[0006] As a further technical solution of the application, the communication module supports 4G, 5G, Wi-Fi or LoRa multiple communication modes, which can switch network modes according to the working environment.
[0007] As a further technical solution of the application, the voice intercom module adopts digital noise reduction technology and integrates a special audio coding chip to improve the voice communication quality.
[0008] As a further technical solution of the application, the fall detection module judges the fall event according to the preset acceleration and angular velocity threshold, and can confirm through the control module to reduce false alarms.
[0009] As a further technical solution of the application, the vital sign monitoring module is arranged on one side of the outer wall of the safety helmet main body, which realizes real-time detection of blood oxygen and heart rate through PPG technology, and actively reports when abnormal.
[0010] As a further technical solution of the application, the power module includes replaceable lithium battery pack and solar auxiliary charging plate, which is used for improving the endurance time.
[0011] As a further technical solution of the application, the SOS alarm module is arranged on the other side of the outer wall of the safety helmet main body, and the SOS alarm module sends the distress information including GPS coordinate data and video image snapshot provided by the positioning module.
[0012] As a further technical scheme of the present application, the power module, the communication module, the video acquisition module, the voice intercom module, the fall detection module, the vital sign monitoring module and the SOS alarm module communicate with the control module through SPI, UART, CAN or integrated circuit bus mode.
[0013] Compared with the prior art, the present application has the following advantages: the present application adopts modular design, and through scientific layout and collaborative design of each functional module, the depth of rationality of structure and practicability of function is realized. On the structure layout, based on the principles of ergonomics and scene adaptation, the communication module and the fall detection module are placed on top to ensure signal transmission and detection sensitivity, the video acquisition and voice intercom module is placed in front to accurately capture the on-site information, the vital sign monitoring module is placed on the side to improve the data acquisition accuracy, the SOS alarm module is independently placed on the side to optimize the operation convenience, and the power module is placed at the back to balance the wearing comfort and power supply stability, thereby completely solving the performance limitation problem caused by the layout disorder of the existing products. On the function collaboration, through the control module, the linkage of each module is coordinated to form a multi-dimensional collaborative protection closed loop of real-time physiological sign monitoring, automatic identification of abnormal action and active emergency assistance, realize the leapfrog upgrade from passive protection to active early warning, greatly improve the accuracy and timeliness of safety risk identification, and the device has strong environmental adaptability and application expansion, can fully adapt to the diversified operation scenes of high-risk industries. On the one hand, the communication module relies on scientific layout and multi-mode switching design to ensure stable data transmission in different signal environments such as ground, tunnel and underground, and cooperates with the power supply scheme of replaceable lithium battery and solar auxiliary charging to significantly improve the endurance, solve the core pain points of communication interruption and insufficient endurance of the existing products. On the other hand, through the cooperation of the video acquisition and voice intercom module, the operation site is visualized and remote two-way interaction is realized, and the location information and video snapshot synchronous uploading mechanism triggered by the SOS alarm module greatly shortens the emergency response time and improves the rescue accuracy. At the same time, the device supports standardized module expansion and seamless docking with the intelligent supervision platform, can add functions such as gas detection and temperature and humidity monitoring according to different industry needs, adapts to diversified application scenes such as intelligent construction site and intelligent mine, provides core terminal support for enterprises to build intelligent safety management system, and has wide industry applicability and market promotion value. BRIEF DESCRIPTION OF DRAWINGS
[0014] In order to more clearly illustrate the technical schemes in the embodiments of the present application or the prior art, the drawings needed in the following embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings based on these drawings without creative labor.
[0015] Figure 1A three-dimensional structure schematic diagram of the smart safety helmet of the present application; Figure 2 A functional structure schematic diagram of the internal module of the present application; Figure 3 A circuit structure flow chart of the vital sign monitoring module of the present application; Figure 4 A fall detection and alarm logic flow chart of the present application; In the figure: 1, safety helmet main body; 2, control module; 3, power module; 4, communication module; 5, video acquisition module; 6, voice intercom module; 7, fall detection module; 8, vital sign monitoring module; 9, SOS alarm module. DETAILED DESCRIPTION
[0016] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.
[0017] Please refer to the attached Figure 1 -attached Figure 4 An embodiment provided by the present application: an Internet of Things smart safety helmet integrating physiological sign monitoring and environmental perception, comprising a safety helmet main body 1, a control module 2 arranged in the safety helmet main body 1, a power module 3, a communication module 4, a video acquisition module 5, a voice intercom module 6, a fall detection module 7, a vital sign monitoring module 8 and an SOS alarm module 9 arranged on the safety helmet main body 1; the power module 3 is arranged on the rear end side outer wall of the safety helmet main body 1, facilitating battery disassembly and replacement without interfering with head movement and normal work of other modules; the communication module 4 is arranged on the top of the safety helmet main body 1, the fall detection module 7 is arranged on the front side of the communication module 4, and the fall detection module 7 is arranged in front of the communication module 4; the communication module 4 is arranged on top to reduce signal shielding, and the fall detection module 7 is arranged in front to improve the response speed of action detection; the video acquisition module 5 is arranged on the front end side outer wall of the safety helmet main body 1, which is suitable for work visual angle and accurately acquires on-site pictures without blocking the line of sight; the voice intercom module 6 is arranged on the front end side outer wall of the safety helmet main body 1, which guarantees clear voice transmission and reception and is suitable for two-way communication scenarios during work; the vital sign monitoring module 8 is arranged on the side outer wall of the safety helmet main body 1, which is close to the head skin to improve the physiological data acquisition accuracy; and the SOS alarm module 9 is arranged on the other side outer wall of the safety helmet main body 1, which is convenient to operate and can quickly trigger help in an emergency.
[0018] Working principle: using the application, first with safety helmet body 1 as carrier, through the overall arrangement of control module 2, realize the real-time monitoring of the safety state of the operating personnel, reliable data transmission and efficient emergency response, the specific process is as follows: after the operating personnel wear safety helmet body 1, start the power module 3 arranged on the outer wall of the rear end side, the module provides stable power for the whole system through replaceable lithium battery pack, if in the light environment, solar auxiliary charging plate carries out power supply simultaneously to prolong the endurance time, after power supply of power module 3, the control module 2 of built-in low-power MCU or embedded processor in safety helmet body 1 immediately starts initialization program, establishes stable communication connection through SPI, UART, CAN or integrated circuit bus and communication module 4, video acquisition module 5, voice intercom module 6, fall detection module 7, vital sign monitoring module 8 and SOS alarm module 9 on safety helmet body 1, completes each module parameter configuration and state self-checking, ensures that the system is fully ready, after system initialization is completed, enter normal operation mode, the vital sign monitoring module 8 installed on the outer wall of one side of safety helmet body 1 acquires the heart rate and blood oxygen data of the wearer based on PPG photoplethysmography through photoelectric sensor, continuously uploads to control module 2 for data processing and local caching, the fall detection module 7 arranged on the front side of communication module 4 on the top of safety helmet body 1, through the built-in acceleration sensor and gyroscope, real-time capture the motion posture, acceleration and angular velocity data of the wearer, and compare with the threshold value preset by control module 2, to judge whether there is abnormal action, the video acquisition module 5 fixed on the outer wall of the front end side of safety helmet body 1 is equipped with wide-angle lens and infrared night vision function, continuously acquires the video picture of the working site, if in weak light environment, automatically start infrared mode to ensure clear picture, after control module 2 integrates and processes the above physiological data, motion state data and video data, through communication module 4 arranged on the top of safety helmet body 1, according to the working environment, automatically switch multiple communication modes, periodically upload data to remote monitoring background to realize data visualization management, at the same time, the voice intercom module 6 on the outer wall of the front end side of safety helmet body 1 adopts digital noise reduction technology and special audio coding chip to keep standby state, and responds to the voice interaction request of background or operating personnel at any time, in the process of normal operation, control module 2 continuously analyzes the data uploaded by each module in real time, if the acceleration and angular velocity data collected by fall detection module 7 exceeds the preset threshold value, control module 2 starts the delay confirmation mechanism to reduce false alarm, confirms that falling or abnormal action occurs, immediately triggers the alarm instruction, if the heart rate and blood oxygen data collected by vital sign monitoring module 8 are abnormal and exceed the safe range, control module 2 triggers the alarm signal synchronously, after the alarm instruction is generated, control module 2 quickly integrates the current physiological data, motion state data, video snapshot captured by video acquisition module 5 and positioning information, sends alarm signal to remote monitoring background through communication module 4, activates the loudspeaker of voice intercom module 6 to issue local warning sound, reminds surrounding personnel to pay attention,When the operator encounters an emergency, they can quickly press the independent physical button of the SOS alarm module 9 set on the outer wall of the other side of the safety helmet body 1 to trigger the active assistance process. The SOS alarm module 9 immediately sends an emergency trigger signal to the control module 2, and the control module 2 synchronously starts the multi-module linkage, instructing the video acquisition module 5 to increase the video acquisition frame rate and upload it in real time, instructing the vital sign monitoring module 8 to encrypt the physiological data transmission frequency, and instructing the positioning module integrated in the SOS alarm module 9 to provide accurate GPS coordinate data. Subsequently, the control module 2 pushes the integrated emergency warning signal, GPS coordinates, real-time video, and physiological data to the remote monitoring background through the communication module 4 in a multi-channel manner to ensure that the background obtains complete emergency information in the first time. After receiving the warning, the background can establish two-way real-time voice communication with the operator through the microphone and speaker of the voice intercom module 6 for remote command and dispatch. At the same time, based on the uploaded location and video information, a rescue plan is planned. The remote monitoring background receives various data through the communication module 4 to achieve dynamic management and control of the operator. It can view the live video transmitted back by the video acquisition module 5 in real time to evaluate the risk of the operation environment, track the health status of personnel through the data of the vital sign monitoring module 8 to early warn potential health risks, and judge the operation standardization of the operator through the motion data of the fall detection module 7. If it is necessary to adjust the operation instructions, the background can directly communicate with the operator through the voice intercom module 6 to achieve remote collaboration and risk intervention. In the whole process, the control module 2 serves as the core hub to coordinate the operation, data processing, and collaborative linkage of each module. The power module 3 continuously provides stable electric energy, and the communication module 4 ensures the reliability and timeliness of data transmission. Each functional module gives full play to its performance based on scientific layout design, jointly realizing the safety protection upgrade from passive protection to active warning and from single-point monitoring to system linkage.
[0019] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the connection of the interiors of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0020] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.
[0021] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. An IoT smart safety helmet integrating physiological sign monitoring and environmental perception, comprising a helmet body (1), a control module (2), a power module (3), a communication module (4), a video acquisition module (5), a voice intercom module (6), a fall detection module (7), a vital sign monitoring module (8), and an SOS alarm module (9), characterized in that: The main body (1) of the safety helmet is used for wearing and securing the various modules; The control module (2) is used to coordinate and control the operation of each module. The power module (3) is used to provide working power to each module; The communication module (4) is used to transmit the collected data to the remote monitoring backend via a wireless network; The video acquisition module (5) includes a camera installed in front of the safety helmet for acquiring and uploading on-site video; The voice intercom module (6) includes a microphone and a speaker, which are used to enable two-way real-time voice communication between the operator and the back-end. The drop detection module (7) includes an accelerometer and a gyroscope, which are used to detect the wearer's fall or abnormal movement and trigger an alarm; The vital signs monitoring module (8) includes a photoelectric sensor for collecting the wearer's heart rate and blood oxygen, and transmits the data to the background for monitoring; The SOS alarm module (9) includes an independent SOS physical button, which sends an emergency alarm signal and location information to the monitoring backend when pressed.
2. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The control module (2) integrates a low-power MCU or embedded processor for edge computing, status judgment and local data caching.
3. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The communication module (4) supports multiple communication methods such as 4G, 5G, Wi-Fi or LoRa, and can switch network modes according to the working environment.
4. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The voice intercom module (6) uses digital noise reduction technology and integrates a dedicated audio encoding chip to improve the quality of voice communication.
5. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The drop detection module (7) determines the drop event based on the preset acceleration and angular velocity thresholds, and can confirm the event by delay through the control module (2) to reduce false alarms.
6. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: A vital signs monitoring module (8) is provided on one side of the outer wall of the main body (1) of the safety helmet. The vital signs monitoring module (8) realizes real-time detection of blood oxygen and heart rate through PPG technology and actively reports when abnormal.
7. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The power module (3) includes a replaceable lithium battery pack and a solar-assisted charging panel to improve battery life.
8. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 6, characterized in that: An SOS alarm module (9) is provided on the outer wall of the other side of the main body (1) of the safety helmet. The distress message sent by the SOS alarm module (9) includes GPS coordinate data and video image snapshots provided by the positioning module.
9. The IoT smart safety helmet integrating physiological sign monitoring and environmental perception according to claim 1, characterized in that: The power module (3), communication module (4), video acquisition module (5), voice intercom module (6), drop detection module (7), vital signs monitoring module (8) and SOS alarm module (9) communicate with the control module (2) via SPI, UART, CAN or integrated circuit bus.