Multifunctional intelligent helmet and device for rider

Abstract

The utility model discloses a multifunctional intelligent helmet and device for a rider. The helmet is internally embedded with a PCB (Printed Circuit Board); a main control chip is arranged on the PCB; a physiological parameter detection module, an environment monitoring module and an alarm module are further arranged on the PCB; the physiological parameter detection module is used for collecting physiological parameter signals and transmitting the physiological parameter signals to the main control chip; the environment monitoring module is used for monitoring different gas contents in the helmet and transmitting gas content signals to the main control chip; the main control chip detects the physiological parameter signals, and when the physiological parameter signals and the gas content exceed preset threshold values, the alarm module sends out alarm information. The intelligent helmet aims at solving the problems that an existing helmet is large in size, poor in signal stability and single in function, the intelligent helmet is provided to achieve the functions of environment monitoring, physiological parameter detection and positioning, and body data and environment information of a rider are monitored in real time.

Description

Technical Field

[0001] This application relates to the field of smart wearable device technology, and in particular to a multifunctional smart helmet and device that can be used by cyclists. Background Technology

[0002] With increasingly busy roads and worsening traffic congestion, electric bikes and bicycles have rapidly become popular for short-distance travel. However, the traffic safety of non-motorized vehicle riders is becoming increasingly prominent. To address this issue, smart safety helmets have emerged. They not only provide more stable protection but also use intelligent functions to monitor the rider's physical data and environmental information in real time, uploading the data to a family member's mobile application, significantly improving the timeliness of rescue and riding safety. The widespread adoption of smart safety helmets is particularly important for groups with weaker reaction abilities, such as teenagers and the elderly, effectively reducing riding risks and protecting lives.

[0003] Current smart helmets often use separate circuit boards for their sensor modules, resulting in large size, complex installation, and susceptibility to signal interference. For example, in traditional designs, the WiFi module is connected to the main control chip via jumper wires, which can easily cause electromagnetic interference; the power supply lines and signal lines for sensors are mixed, leading to high power consumption and poor stability. In addition, the display screen of existing helmets is rigidly connected to the main control board, which is prone to wire breakage due to helmet deformation. Utility Model Content

[0004] The primary objective of this application is to provide a multifunctional smart helmet and device for cyclists, aiming to overcome the limitations of existing helmets such as large size, poor signal stability, and limited functionality. This smart helmet enables environmental monitoring, physiological parameter detection, and positioning, allowing for real-time monitoring of the cyclist's physical data and environmental information. Furthermore, the helmet is highly portable and suitable for various cycling scenarios.

[0005] To achieve the above objectives, this application provides a multifunctional smart helmet for cyclists, the helmet having the following embedded components: a PCB board; a main control chip located in the central area of ​​the PCB board; and a physiological parameter detection module, an environmental monitoring module, and an alarm module also located on the PCB board; the physiological parameter detection module, the environmental monitoring sensor, and the alarm module are all connected to the main control chip.

[0006] The physiological parameter detection module is connected to the main control chip. The physiological parameter detection module is used to collect physiological parameter signals and transmit the physiological parameter signals to the main control chip.

[0007] The environmental monitoring module is connected to the main control chip. The environmental monitoring module is used to monitor environmental signals inside the helmet and transmit the environmental signals to the main control chip.

[0008] The main control chip is connected to the alarm module. The main control chip is used to trigger the alarm module to issue an alarm message when the signal value of the physiological parameter signal and / or the signal value of the environmental signal exceeds a preset threshold.

[0009] In one embodiment, the environmental monitoring module further includes a temperature and humidity sensor and a gas detection sensor; wherein: the environmental signals include: temperature and humidity signals and oxygen content signals;

[0010] The temperature and humidity sensor is connected to the main control chip, and the temperature and humidity sensor is used to detect the temperature and humidity signals of the environment in real time.

[0011] The gas detection sensor is connected to the main control chip and is used to detect the oxygen content signal inside the helmet in real time.

[0012] In one embodiment, the physiological parameter detection module further includes a heart rate and blood oxygen sensor; wherein:

[0013] The heart rate and blood oxygen sensor is connected to the main control chip. The heart rate and blood oxygen sensor is used to collect heart rate and blood oxygen signals and transmit the heart rate and blood oxygen signals to the main control chip.

[0014] In one embodiment, the helmet further includes a camera module; wherein:

[0015] The camera module is connected to the main control chip and is used to collect image signals during cycling, and to perform photoelectric conversion on the video and image signals and transmit them to the main control chip.

[0016] In one embodiment, the helmet further includes a wireless transmission module; wherein:

[0017] The wireless transmission module is connected to the main control chip, and the wireless transmission module is used to remotely transmit the video and image signal data processed by the main control chip and upgrade the helmet firmware.

[0018] In one embodiment, the helmet further includes a dual-mode positioning module; wherein:

[0019] The dual-mode positioning module is connected to the main control chip, and the dual-mode positioning module is used to provide and record the geographical location information of the cyclist through navigation.

[0020] In one embodiment, the alarm module further includes a buzzer and an LED module; wherein:

[0021] The buzzer is connected to the main control chip and is used to issue a buzzer alarm to the cyclist when the heart rate and blood oxygen signals exceed a preset threshold.

[0022] The LED module is connected to the main control chip, and the LED module is used to provide a light alarm to the rider through LED lights.

[0023] In one embodiment, the helmet further includes a power module; wherein:

[0024] The power module is connected to the main control chip, and the power module is used to supply power to the main control chip.

[0025] In one embodiment, the helmet is also connected to an external smart terminal device via a wireless transmission module.

[0026] To achieve the above objectives, this application also proposes a multi-functional smart device for cyclists, which includes the aforementioned multi-functional smart helmet for cyclists.

[0027] The above-mentioned one or more technical solutions provided in this application may have the following advantages or at least achieve the following technical effects:

[0028] This application discloses a multifunctional smart helmet for cyclists, relating to the field of smart wearable device technology. The helmet mainly comprises: a PCB board; a main control chip located in the central area of ​​the PCB board; a physiological parameter detection module, an environmental monitoring module, and an alarm module also located on the PCB board; the physiological parameter detection module, environmental monitoring sensor, and alarm module are all connected to the main control chip; the physiological parameter detection module, connected to the main control chip, collects physiological parameter signals and transmits them to the main control chip; the environmental monitoring module, also connected to the main control chip, monitors the content of different gases inside the helmet and transmits signals indicating different gas contents to the main control chip; the main control chip, connected to the alarm module, detects the physiological parameter signals, and when the physiological parameter signals and gas contents exceed preset thresholds, the alarm module issues an alarm. This application aims to overcome the limitations of existing helmets, such as large size, poor signal stability, and limited functionality, by providing a smart helmet that achieves environmental monitoring, physiological parameter detection, and positioning functions, enabling real-time monitoring of the cyclist's body data and environmental information. Intelligent visual cycling devices offer significant advantages. First, its recognition speed is fast, enabling it to complete a large number of road condition recognition tasks in a short time, greatly improving detection efficiency. Second, thanks to the use of advanced image recognition technology, the helmet's recognition accuracy is also greatly improved, effectively avoiding misjudgments and incorrect identification problems that occur with manual recognition. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of a helmet according to the first embodiment of the multifunctional smart helmet for cyclists proposed in this application.

[0031] Figure 2 This is a schematic diagram of a second embodiment of a multifunctional smart helmet for cyclists proposed in this application.

[0032] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0033] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0034] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0035] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution that simultaneously satisfies A and B. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0036] This application introduces a multifunctional smart helmet for cyclists. Through a modular integrated design, all sensors and the main control chip are soldered onto a single PCB board, enabling efficient data acquisition and transmission from multiple sensors. The helmet integrates environmental monitoring, physiological parameter detection, and positioning functions, capable of real-time monitoring of the cyclist's body data and environmental information, and uploading the data to a mobile app to improve cycling safety. Simultaneously, optimized hardware layout and efficient power supply and filtering design improve system stability and ease of maintenance. This application features small size, stable signal, and convenient maintenance, making it suitable for various cycling scenarios. The helmet includes a main control chip: an STM32F103C8T6 microcontroller, soldered to the central area of ​​an 8.5cm×6cm double-layer PCB board; and an environmental monitoring module: a DHT11 temperature and humidity sensor and an MQ-4 natural gas sensor, respectively installed on the left side of the PCB board near the helmet's ventilation holes.

[0037] Physiological parameter detection module: MAX30102 heart rate and blood oxygen module, embedded in the contact area of ​​the helmet liner.

[0038] Wireless transmission and dual-mode positioning modules: ESP-01S WiFi module and GT-U8 GPS Beidou BDS dual-mode module, independently arranged at the rear of the PCB board; Alarm module: 0.96-inch OLED screen and active buzzer, respectively fixed to the side slot of the helmet and facing the wearer's ear.

[0039] The main control unit is an STM32F103C8T6 microcontroller, along with a DHT11 temperature and humidity sensor, an MQ-4 natural gas sensor, a MAX30102 heart rate and blood oxygen module, an ESP-01S WiFi module, a GT-U8 GPS / BeiDou / BDS dual-mode module, a 0.96-inch OLED screen, and an active buzzer. All modules are soldered onto an 8.5cm x 6cm double-layer PCB board. The DHT11 temperature and humidity sensor is mounted on the left side of the PCB board near the helmet ventilation holes and is connected to the PB10 pin of the main control unit via a single-bus protocol. The MQ-4 natural gas sensor is also mounted on the left side of the PCB board, with its analog signal output connected to the PA1 pin of the main control unit. A 0.1μF filter capacitor is used for its power supply circuit. The MAX30102 heart rate and blood oxygen module is embedded in the helmet liner contact area, with its I2C interface connected to PB13 (SCL) and PB14 (SDA) of the main control unit. Thermal adhesive is applied to the back of the module for fixation. The ESP-01S WiFi module connects to PA2 (TXD) and PA3 (RXD) of the main control unit via a female connector. A ferrite bead is connected in series with the module's power cable to suppress high-frequency noise. The GT-U8 GPS / BeiDou module is independently located at the rear of the PCB board, with its serial port connected to PB10 (TXD) and PB11 (RXD) of the main control unit. The antenna extends to a recess on the top of the helmet. The 0.96-inch OLED screen connects to PB8 (SCL) and PB9 (SDA) of the main control unit via an I2C interface. The FPC flexible cable is bent and fixed to a slot on the side of the helmet. An active buzzer is connected to pin PC13 of the main control unit, with the sound hole facing the wearer's ear. A shielded cable connects the buzzer to the control board.

[0040] To achieve the above objectives, this application provides a multifunctional smart helmet for cyclists, the helmet having the following embedded components: a PCB board; a main control chip located in the central area of ​​the PCB board; and a physiological parameter detection module, an environmental monitoring module, and an alarm module also located on the PCB board; the physiological parameter detection module, the environmental monitoring sensor, and the alarm module are all connected to the main control chip.

[0041] The physiological parameter detection module is connected to the main control chip. The physiological parameter detection module is used to collect physiological parameter signals and transmit the physiological parameter signals to the main control chip.

[0042] The environmental monitoring module is connected to the main control chip. The environmental monitoring module is used to monitor environmental signals inside the helmet and transmit the environmental signals to the main control chip.

[0043] The main control chip is connected to the alarm module. The main control chip is used to trigger the alarm module to issue an alarm message when the signal value of the physiological parameter signal and / or the signal value of the environmental signal exceeds a preset threshold.

[0044] Specifically, in this embodiment, this application proposes a multi-functional smart helmet designed specifically for cyclists. This helmet not only has the protective functions of a traditional helmet, but also integrates multiple intelligent functions such as physiological parameter monitoring, environmental monitoring, and alarm prompts, aiming to comprehensively protect the safety and health of cyclists. Figure 1 This is a schematic diagram of a first embodiment of a multifunctional smart helmet for cyclists, as proposed in this application. The detailed design and application scenarios of this smart helmet will be described below.

[0045] The helmet is made of lightweight, high-strength materials, ensuring ample protection while reducing the wearer's burden. An embedded high-performance PCB (Printed Circuit Board) serves as the carrier and central connection for all electronic components. A high-performance main control chip is located in the central area of ​​the PCB, responsible for processing data from various modules and executing corresponding logical judgments and command outputs. As the "brain" of the smart helmet, the performance of the main control chip directly determines the helmet's intelligence level and response speed. The main control chip selected in this embodiment possesses powerful data processing capabilities and low power consumption, efficiently processing data from the physiological parameter detection module and environmental monitoring module, and performing real-time analysis according to preset algorithms. When an abnormality is detected, the main control chip immediately triggers the alarm module, issuing a warning message.

[0046] The physiological parameter detection module is an important component of smart helmets. It collects real-time physiological parameters of the rider, such as heart rate, blood pressure, and blood oxygen saturation, through built-in sensors. These sensors typically employ a non-invasive design to ensure accurate data acquisition without compromising the rider's comfort.

[0047] The collected physiological parameter signals are transmitted to the main control chip via circuitry on the PCB board. The main control chip performs preprocessing operations such as filtering and amplification on these signals to improve the accuracy and reliability of the data. Subsequently, the main control chip compares the processed data with preset thresholds to determine whether the cyclist's physiological state is normal. The physiological parameter detection module plays a crucial role during cycling. For example, when a cyclist's heart rate abnormally increases due to exhaustion or high temperatures, the smart helmet can promptly detect this and issue a warning, reminding the cyclist to rest or adjust their cycling intensity. Furthermore, for cyclists with chronic diseases such as hypertension or heart disease, this module can also monitor their blood pressure changes in real time, providing valuable time for emergency medical assistance.

[0048] The environmental monitoring module is primarily used to monitor the air quality inside and around the helmet, including oxygen content, carbon dioxide concentration, and the concentration of harmful gases (such as carbon monoxide and hydrogen sulfide). This monitoring data is crucial for assessing the cyclist's respiratory health and safety. To achieve accurate environmental monitoring, this embodiment uses highly sensitive gas sensors, cleverly placed in key locations inside the helmet. These sensors can detect changes in gas composition inside the helmet in real time and transmit the monitoring data to the main control chip via the PCB board. The main control chip analyzes the received environmental monitoring data in real time and compares it with preset safety thresholds. When a gas content exceeds the safe range, the main control chip immediately triggers the alarm module, emitting an audible or visual alarm signal to alert the cyclist to the environmental changes and take appropriate measures. The environmental monitoring module plays an important role in various cycling scenarios. For example, when traversing tunnels or densely populated areas with tall buildings, the carbon dioxide concentration inside the helmet may rise rapidly due to poor air circulation. In this case, the smart helmet can promptly detect and issue a warning, reminding the cyclist to speed up or find an open area to stop and rest. In addition, when riding in smoggy weather or industrially polluted areas, the environmental monitoring module can also monitor the concentration of harmful gases and provide timely safety warnings for cyclists.

[0049] The alarm module is the emergency response system of the smart helmet. Based on instructions from the main control chip, it emits alarm signals such as sound, light, or vibration to attract the rider's attention and prompt appropriate action. In this embodiment, the alarm module employs low-power, high-sensitivity sound and light alarms to ensure rapid and accurate warnings in emergencies. The alarm module's triggering conditions mainly fall into two categories: first, abnormal physiological parameters, such as excessively high heart rate or blood pressure; second, environmental monitoring data exceeding safe ranges, such as excessively low oxygen levels or excessively high concentrations of harmful gases. When the main control chip detects these abnormalities, it immediately sends instructions to the alarm module, triggering the alarm signal. Upon receiving the alarm signal, the rider should take appropriate measures based on the specific situation. For example, when an alarm for excessively high heart rate is triggered, the rider should immediately stop, rest, and replenish fluids; when an alarm for excessively low oxygen levels is triggered, the rider should quickly leave the current environment and find an open area to breathe fresh air. Furthermore, the smart helmet can also send alarm information to the rider's mobile phone or emergency contact via Bluetooth or other wireless communication technologies to seek external assistance when necessary. When a cyclist rides at night on city roads wearing the aforementioned multi-functional smart helmet, the physiological parameter detection module collects the cyclist's heart rate and body temperature data in real time through flexible sensors (such as heart rate and body temperature sensors) integrated into the helmet lining. The main control chip compares the heart rate data with a preset threshold (such as resting heart rate ±30%). If the heart rate is detected to continuously exceed the threshold (possibly due to fatigue or sudden illness), the alarm module is triggered. The helmet alerts the cyclist to slow down and rest via the alarm module, and simultaneously synchronizes the warning information to a mobile app via Bluetooth, notifying emergency contacts. The helmet monitors the CO2 concentration inside (reflecting ventilation status). If the concentration exceeds the standard (e.g., >1000ppm), the main control chip activates a miniature fan on the side of the helmet to improve airflow. It also detects ambient light intensity; if the ambient light is insufficient at night (e.g., below 50 lumens), the helmet's built-in LED headlight automatically turns on for supplemental lighting. In the event of a collision, the helmet sends a location distress signal to a preset emergency contact via the GPS module (expandable and integrated into the PCB board) and activates a continuous buzzer (alarm module) to attract the attention of passersby.

[0050] Furthermore, in this embodiment, the environmental monitoring module further includes a temperature and humidity sensor and a gas detection sensor; wherein: the environmental signals include: temperature and humidity signals and oxygen content signals;

[0051] The temperature and humidity sensor is connected to the main control chip, and the temperature and humidity sensor is used to detect the temperature and humidity signals of the environment in real time.

[0052] The gas detection sensor is connected to the main control chip and is used to detect the oxygen content signal inside the helmet in real time.

[0053] Specifically, in this embodiment, the smart helmet, as an innovative product integrating protection and intelligent functions, is gradually gaining popularity among cyclists. This application proposes a novel multi-functional smart helmet that not only possesses traditional protective functions but also integrates two core modules: environmental monitoring and physiological parameter detection, providing cyclists with comprehensive safety and health protection. The environmental monitoring module is a crucial component of the smart helmet. Through built-in sensors, it monitors key parameters such as temperature, humidity, and gas composition of the environment inside and outside the helmet in real time, providing cyclists with accurate environmental information. The temperature and humidity sensor is one of the core components of the environmental monitoring module, used to monitor changes in temperature and humidity inside and outside the helmet in real time. This embodiment selects a high-precision, low-power temperature and humidity sensor and cleverly places it in a key position inside the helmet to ensure accurate perception of the cyclist's environmental conditions.

[0054] Data collected by the temperature and humidity sensor is transmitted to the main control chip via circuitry on the PCB board. The main control chip performs preprocessing operations such as filtering and amplification on this data to improve its accuracy and reliability. Subsequently, the main control chip compares the processed data with preset thresholds to determine whether the ambient temperature and humidity are within a safe range. The temperature and humidity sensor plays a crucial role in various cycling scenarios. For example, during hot summer cycling, the temperature inside the helmet may rise rapidly, causing discomfort to the rider. In this case, the smart helmet can promptly detect and issue a warning, reminding the rider to take cooling measures, such as stopping to rest or adjusting the cycling intensity. Furthermore, when cycling in humid environments, the humidity inside the helmet may increase, affecting the rider's comfort. The smart helmet can also monitor and alert the rider to changes in the environment in real time.

[0055] A gas detection sensor is used to monitor the oxygen content inside the helmet in real time, ensuring that cyclists can breathe sufficient oxygen during riding. This embodiment uses a highly sensitive and stable oxygen sensor, placed in a key location inside the helmet to accurately detect changes in oxygen concentration. The data collected by the oxygen sensor is transmitted to the main control chip via circuitry on the PCB board. The main control chip analyzes this data in real time and compares it with preset safety thresholds. When the oxygen content is detected to be below the safe range, the main control chip immediately triggers the alarm module, emitting an audible or visual alarm signal to alert the cyclist to the environmental changes and take appropriate measures. The oxygen sensor is particularly important in special scenarios such as riding at high altitudes or in enclosed spaces. For example, when riding in high-altitude areas, the oxygen content in the air is relatively low, and cyclists may experience altitude sickness. In this case, the smart helmet can monitor the oxygen concentration inside the helmet in real time and issue a warning when necessary, reminding the cyclist to take supplemental oxygen measures. Furthermore, when riding in enclosed spaces (such as tunnels or basements), the oxygen content inside the helmet may drop rapidly due to poor air circulation. The smart helmet can also detect this promptly and issue a warning to ensure the cyclist's breathing safety.

[0056] Furthermore, in this embodiment, the physiological parameter detection module further includes a heart rate and blood oxygen sensor; wherein:

[0057] The heart rate and blood oxygen sensor is connected to the main control chip. The heart rate and blood oxygen sensor is used to collect heart rate and blood oxygen signals and transmit the heart rate and blood oxygen signals to the main control chip.

[0058] Specifically, this embodiment will further refine and describe in detail a multifunctional smart helmet that integrates environmental monitoring and physiological parameter detection functions, especially providing a detailed analysis of its heart rate and blood oxygen sensor. Through this sensor, the smart helmet can monitor the cyclist's heart rate and blood oxygen saturation in real time, providing comprehensive protection for the cyclist's health and safety.

[0059] Heart rate and oxygen saturation sensors typically employ a non-invasive design, measuring heart rate and blood oxygen saturation by emitting light of a specific wavelength and receiving the reflected light. The heart rate and oxygen saturation sensor selected in this embodiment features high sensitivity, low power consumption, and strong anti-interference capabilities, ensuring accurate data acquisition even in complex environments. The sensor is cleverly positioned in key locations inside the helmet, such as the forehead, behind the ears, or below the chin, to ensure a close fit to the cyclist's skin and accurate acquisition of physiological parameter signals.

[0060] The working principle of a heart rate and blood oxygen sensor is based on photoplethysmography (PPG). When light shines on the skin, some of it is absorbed by the blood, and the amount absorbed varies with the oxygen content in the blood. By emitting two different wavelengths of light (usually red and infrared light) and receiving the reflected light, the sensor can calculate the ratio of oxyhemoglobin to deoxyhemoglobin in the blood, thus obtaining blood oxygen saturation. Simultaneously, by analyzing the periodic changes in light, the heart rate can also be calculated. The data collected by the heart rate and blood oxygen sensor is transmitted to the main control chip via circuitry on the PCB board. The main control chip performs preprocessing operations such as filtering and amplification on this data to improve its accuracy and reliability. Subsequently, the main control chip uses built-in algorithms to further analyze the processed data, calculating specific values ​​for heart rate and blood oxygen saturation. These values ​​are compared with preset health thresholds to determine whether the cyclist's physiological state is normal. The heart rate and blood oxygen sensor plays a crucial role during cycling. For example, when a cyclist experiences an abnormally high heart rate or a drop in blood oxygen saturation due to exhaustion or high temperatures, the smart helmet can detect this promptly and issue a warning, reminding the cyclist to rest or adjust their riding intensity. Furthermore, for cyclists with chronic conditions such as heart disease or respiratory illnesses, the sensor can monitor changes in their physiological parameters in real time, providing valuable time for emergency medical assistance.

[0061] In addition to basic health monitoring functions, the heart rate and blood oxygen sensors can also interconnect with other smart devices. For example, by connecting to a smartphone, cyclists can view their heart rate and blood oxygen saturation data in real time, as well as historical trends. Simultaneously, the smart helmet can upload this data to a cloud server, providing cyclists with more personalized health analysis and recommendations. The environmental monitoring module (including temperature and humidity sensors and gas detection sensors) and the physiological parameter detection module (including heart rate and blood oxygen sensors) of the smart helmet are two independent systems, but they can work together to provide cyclists with more comprehensive safety protection. When the environmental monitoring module detects abnormalities in parameters such as temperature, humidity, and oxygen content inside and outside the helmet, it immediately sends a signal to the main control chip. The main control chip uses a preset algorithm to determine whether these abnormalities will affect the cyclist's health and takes appropriate measures. For example, when it detects that the temperature inside the helmet is too high, the main control chip will trigger the alarm module to issue a warning and suggest that the cyclist stop and rest or adjust the riding intensity to lower body temperature. At the same time, the main control chip will also monitor changes in the cyclist's physiological parameters in real time through the heart rate and blood oxygen sensors to ensure that their health status is not affected. Conversely, when the physiological parameter detection module detects abnormalities in the cyclist's heart rate, blood oxygen saturation, or other physiological parameters, it immediately sends a signal to the main control chip. The main control chip then uses this abnormal data to determine if the cyclist is in a dangerous situation and takes appropriate rescue measures. For example, if it detects an excessively high heart rate or excessively low blood oxygen saturation, the main control chip will trigger the alarm module to issue an emergency warning and advise the cyclist to stop immediately and seek medical assistance. Simultaneously, it will also monitor the environmental conditions inside and outside the helmet in real time through the environmental monitoring module to ensure the cyclist waits for rescue in a safe environment.

[0062] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 ,

[0063] Figure 2 This is a schematic diagram of a second embodiment of a multifunctional smart helmet for cyclists proposed in this application. In this embodiment, the helmet further includes a camera module; wherein:

[0064] The camera module is connected to the main control chip and is used to collect video and image signals during the cycling process, and to perform photoelectric conversion on the video and image signals and transmit them to the main control chip.

[0065] Specifically, this embodiment provides a detailed analysis of the camera module. This module enables the smart helmet to record image information in real time during riding, providing cyclists with rich visual recording and safety protection. The camera module is the core component of the smart helmet's visual recording function; it can acquire image information during riding in real time and transmit this information to the main control chip for further processing and analysis. The following will provide a detailed analysis of the camera module's selection, layout, working principle, data transmission and processing, and application scenarios.

[0066] The selection of a camera module requires comprehensive consideration of factors such as resolution, frame rate, viewing angle, power consumption, and cost. To ensure clear recording of image information during cycling, this embodiment uses a high-resolution, high-frame-rate camera module. Simultaneously, to meet the cyclist's viewing angle requirements, the camera module is cleverly positioned at the front or top of the helmet to ensure a wide field of view in front of the cyclist. The camera module operates based on the photoelectric conversion principle. When light shines on the lens of the camera module, the lens focuses the light onto a photosensitive element (such as a CMOS or CCD sensor). The photosensitive element converts the received light signal into an electrical signal, which is then amplified and processed by internal circuitry. Finally, the processed electrical signal is converted into a digital image signal and transmitted to the main control chip for further processing and analysis. The digital image signal acquired by the camera module is transmitted to the main control chip via circuitry on the PCB board. The main control chip performs preprocessing operations such as decoding, denoising, and enhancement on these digital image signals to improve image clarity and quality. Subsequently, the main control chip can use built-in image processing algorithms to further analyze the processed image, such as target detection, tracking, and recognition. These analytical results can be used for cyclist safety protection, environmental monitoring, and sports data analysis.

[0067] To fully utilize the image information captured by the camera module, the smart helmet employs various image processing algorithms. For example, through target detection algorithms, the smart helmet can detect obstacles, vehicles, and pedestrians in front of the cyclist in real time and issue early warnings to avoid potential dangers. Through tracking algorithms, the smart helmet can continuously track the cyclist's movement trajectory, providing accurate positioning and navigation services. Furthermore, the smart helmet can use image recognition algorithms to recognize the cyclist's gestures and facial expressions, enabling more intelligent interaction and control. The camera module has a wide range of applications in smart helmets. For example, during cycling, the camera module can record road conditions and scenery in real time, providing cyclists with rich visual records. When cyclists encounter emergencies, the camera module can also serve as an evidence preservation device, recording the situation at the accident scene for subsequent processing. In addition, the smart helmet can correlate and analyze the image information captured by the camera module with data from the physiological parameter detection module, providing cyclists with more comprehensive health and exercise data analysis services. Beyond basic visual recording functions, the camera module can also interconnect with other smart devices. For example, by connecting to a smartphone, cyclists can view the footage captured by the helmet's camera in real time and share it with friends or on social media platforms. Simultaneously, the smart helmet can upload this image data to a cloud server, providing cyclists with more personalized data storage and analysis services.

[0068] Furthermore, in this embodiment, the helmet also includes a wireless transmission module; wherein:

[0069] The wireless transmission module is connected to the main control chip, and the wireless transmission module is used to remotely transmit the video and image signal data processed by the main control chip and upgrade the helmet firmware.

[0070] Specifically, in this embodiment, the wireless transmission module is a key component for the smart helmet to achieve remote data transmission and wireless firmware upgrades. Through its connection with the main control chip, it transmits image signal data, physiological parameter data, and environmental monitoring data processed by the main control chip to remote servers or terminal devices such as smartphones, enabling remote data sharing and analysis. Simultaneously, the wireless transmission module also supports wireless firmware upgrades for the helmet, allowing riders to access the latest functionalities and performance optimizations at any time.

[0071] The selection of a wireless transmission module requires comprehensive consideration of factors such as transmission speed, transmission distance, power consumption, and compatibility. To ensure stable data transmission and long-term helmet use, this embodiment uses a low-power, highly stable wireless transmission module. This module supports multiple communication protocols, such as Wi-Fi and Bluetooth, to meet data transmission needs in different scenarios. It also features automatic reconnection and data encryption to ensure data transmission security and reliability. After the camera module acquires image signals, these signals are first transmitted to the main control chip for preprocessing and analysis. The processed image signal data is then received by the wireless transmission module and transmitted to a remote server or smartphone via wireless communication technologies such as Wi-Fi or Bluetooth. Cyclists can view the helmet camera's footage in real time using smartphones and other devices and share it with friends or on social media platforms. Simultaneously, the remote server can further analyze and process the received data, providing cyclists with more personalized health and exercise data analysis services. As technology advances and user needs evolve, the firmware of smart helmets also requires continuous updates and optimizations. The wireless transmission module allows cyclists to easily upgrade the helmet firmware wirelessly. When a new firmware version is released, cyclists simply connect their smartphones or other devices to the helmet and follow the prompts to complete the firmware upgrade. This not only improves the helmet's performance and stability but also provides cyclists with richer features and a better user experience.

[0072] Furthermore, in this embodiment, the helmet further includes a dual-mode positioning module; wherein:

[0073] The dual-mode positioning module is connected to the main control chip, and the dual-mode positioning module is used to provide and record the geographical location information of the cyclist through navigation.

[0074] Specifically, in this embodiment, the dual-mode positioning module integrates both GPS and BeiDou satellite navigation systems, providing more accurate and stable geographic location information. This module features low power consumption, high sensitivity, and rapid positioning, ensuring accuracy and reliability even in complex environments. Through its connection with the main control chip, the dual-mode positioning module can transmit the cyclist's geographic location information to the main control chip in real time for recording and analysis.

[0075] When cyclists wear smart helmets, the dual-mode positioning module collects their location information in real time, including longitude, latitude, and altitude. This information is received and stored by the main control chip for later viewing and analysis by the cyclist. Through the helmet's accompanying software or smartphones, cyclists can intuitively view their cycling route, speed, distance, and other data, gaining a better understanding of their cycling habits and health. In addition to recording location information, the dual-mode positioning module also supports navigation. Cyclists can set their destination through the helmet's software or smartphones, and the dual-mode positioning module will provide precise navigation guidance based on their current location and route planning. This allows cyclists to reach their destination more easily and safely.

[0076] In particular, it's worth noting the advantages of dual-mode positioning modules in multi-functional smart helmets for cyclists. The large storage capacity of the dual-mode positioning module meets the helmet's long-term operation and data storage needs. The built-in password protection within the dual-mode positioning module safeguards stored data from unauthorized access and leakage. The module's portability and ease of replacement allow users to easily back up and transfer data, enhancing the helmet's flexibility.

[0077] Furthermore, in this embodiment, the alarm module further includes a buzzer and an LED module; wherein:

[0078] The buzzer is connected to the main control chip and is used to issue a buzzer alarm to the cyclist when the heart rate and blood oxygen signals exceed a preset threshold.

[0079] The LED module is connected to the main control chip, and the LED module is used to provide a light alarm to the rider through LED lights.

[0080] Specifically, in this embodiment, the alarm module is an important component of the smart helmet. It is responsible for issuing warning signals to attract the rider's attention when abnormal situations are detected. The alarm module in this embodiment employs multiple alarm methods, including a low-power, high-sensitivity buzzer sound and an LED module light alarm, to ensure that warnings can be issued quickly and accurately in emergency situations.

[0081] When the main control chip detects abnormal data from modules such as the heart rate and blood oxygen sensor, temperature and humidity sensor, or gas detection sensor, it immediately triggers the alarm module to issue a warning signal. Upon receiving the warning signal, the cyclist should take appropriate measures based on the specific situation. For example, if the alarm sounds for excessively high heart rate or low blood oxygen saturation, the cyclist should immediately stop, rest, and replenish fluids or oxygen; if the alarm sounds for excessively high temperature and humidity or low oxygen levels, the cyclist should quickly leave the current environment and find an open area or well-ventilated place to rest. Furthermore, the smart helmet can also send alarm information to the cyclist's mobile phone or emergency contact via Bluetooth or other wireless communication technologies to seek external assistance when necessary. For example, if the cyclist falls due to an accident or suffers a sudden illness and is unable to handle the situation independently, the smart helmet can automatically dial an emergency rescue number and send the cyclist's location information and physiological parameter data to rescue personnel so that they can quickly arrive at the scene to provide assistance.

[0082] Furthermore, in this embodiment, the helmet also includes a power module; wherein:

[0083] The power module is connected to the main control chip, and the power module is used to supply power to the main control chip.

[0084] Specifically, in this embodiment, to ensure that cyclists can continuously use the various functions of the smart helmet during long-term riding, a high-performance lithium battery is used as the power supply, and an intelligent power management system is designed to optimize battery efficiency. Lithium batteries have high energy density, long lifespan, and low self-discharge, providing sustained power support for the smart helmet. Simultaneously, the intelligent power management system can intelligently adjust the operating status and power consumption of each module based on the cyclist's usage habits and current environmental conditions to extend battery life. For example, in well-lit conditions, the intelligent power management system can reduce the power consumption of the camera module; when the cyclist is stationary or has a low heart rate, it can reduce the sampling frequency of the physiological parameter detection module, etc.

[0085] To facilitate convenient charging of the smart helmet by cyclists, this embodiment also features a convenient charging port and charging indicator light. The charging port adopts the universal USB interface standard, making it compatible with most chargers and power banks. The charging indicator light displays the battery charging status and remaining power, allowing cyclists to understand the battery's range and make appropriate charging arrangements. To meet the personalized needs of different cyclists and enhance the user experience, the smart helmet in this embodiment also offers a wealth of personalized settings options and a user interface design. Cyclists can connect to the smart helmet via smartphones and other smart devices and configure and adjust various helmet functions through a dedicated APP. For example, cyclists can set warning thresholds for heart rate and blood oxygen saturation, as well as alarm methods and sounds, according to their health conditions and cycling habits; they can also customize the helmet's display interface and lighting effects to showcase their personality and style. Furthermore, cyclists can adjust camera module parameters through the APP, such as resolution, frame rate, and viewing angle, to meet different shooting needs. In terms of user experience optimization, the smart helmet employs an ergonomic design and comfortable wearing materials to ensure good comfort and stability for cyclists during extended wear. Meanwhile, the smart helmet also features waterproof and sweatproof functions to adapt to various harsh riding environments. Furthermore, it offers intelligent interaction methods such as voice control and gesture recognition, allowing riders to more conveniently operate and control the helmet's various functions while riding.

[0086] Furthermore, to achieve the above objectives, this application also proposes a multifunctional smart device for cyclists. This multifunctional smart device includes a display, a mobile terminal device, and all embodiments of the multifunctional smart helmet for cyclists described above. Compared with the prior art, the beneficial effects of the multifunctional smart device for cyclists provided in this application are the same as those of the multifunctional smart helmet for cyclists provided in the above embodiments, and other technical features of the multifunctional smart device for cyclists are the same as those disclosed in the above embodiments, and will not be repeated here.

[0087] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent scope of this application.

Claims

1. A multi-functional smart helmet for a rider, characterized in that, The helmet is embedded with a PCB board, a main control chip arranged in a central area of the PCB board, a physiological parameter detection module, an environment monitoring module and an alarm module; the physiological parameter detection module, the environment monitoring sensor and the alarm module are connected with the main control chip; The physiological parameter detection module is connected with the main control chip, and the physiological parameter detection module is used for collecting physiological parameter signals and transmitting the physiological parameter signals to the main control chip; The environment monitoring module is connected with the main control chip, and the environment monitoring module is used for monitoring the environment signals in the helmet and transmitting the environment signals to the main control chip; The main control chip is connected with the alarm module, and the main control chip is used for alarming through the alarm module when the signal value of the physiological parameter signal and / or the signal value of the environment signal exceeds a preset threshold.

2. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The environment monitoring module further comprises a temperature and humidity sensor and a gas detection sensor; wherein: the environment signal comprises: temperature and humidity signal and oxygen content signal; The temperature and humidity sensor is connected with the main control chip, and the temperature and humidity sensor is used for detecting the temperature and humidity signal of the environment in real time; The gas detection sensor is connected with the main control chip, and the gas detection sensor is used for detecting the oxygen content signal in the helmet in real time.

3. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The physiological parameter detection module further comprises a heart rate and blood oxygen sensor; wherein: The heart rate and blood oxygen sensor is connected with the main control chip, and the heart rate and blood oxygen sensor is used for collecting heart rate and blood oxygen signals and transmitting the heart rate and blood oxygen signals to the main control chip.

4. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The helmet further comprises a camera module; wherein: The camera module is connected with the main control chip, and is used for collecting video and image signals in the riding process and performing photoelectric conversion on the image signals and transmitting the image signals to the main control chip; The helmet further comprises a wireless transmission module; wherein: The wireless transmission module is connected with the main control chip, and the wireless transmission module is used for remotely transmitting the data of the video and image signals processed by the main control chip.

5. The multi-functional smart helmet for cyclists as claimed in claim 4, wherein, The wireless transmission module is also used for receiving an upgrade package input by an external terminal and sending the upgrade package to the main control chip: The main control chip is also used for upgrading the firmware of the helmet when the upgrade package is received.

6. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The helmet further comprises a dual-mode positioning module; wherein: The dual-mode positioning module is connected with the main control chip, and the dual-mode positioning module is used for providing and recording the geographical position information of the rider by navigation.

7. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The alarm module comprises a buzzer and an LED module; wherein: The buzzer is connected with the main control chip, and the buzzer is used for issuing a buzzer alarm to the rider when the heart rate and blood oxygen signals exceed a preset threshold; The LED module is connected with the main control chip, and the LED module is used for providing a light alarm to the rider through the LED lamp.

8. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The helmet further comprises a power module; wherein: The power module is connected with the main control chip, and the power module is used for supplying power to the main control chip.

9. The multi-functional smart helmet for cyclists as claimed in claim 1, wherein, The helmet is further connected with an external intelligent terminal device through the wireless transmission module.

10. A multi-functional smart device for a rider, comprising: The multi-functional smart device for a rider includes the multi-functional smart helmet for a rider as claimed in any one of claims 1-9. The multi-functional smart device for a rider includes the multi-functional smart helmet for a rider as claimed in any one of claims 1-9.

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