Intelligent helmet for bicycle riding dangerous behavior detection based on three-axis sensor

Abstract

The utility model discloses an intelligent helmet for bicycle riding dangerous behavior detection based on a three-axis sensor. The intelligent helmet comprises a helmet body, goggles, a jaw protector and a helmet band. The helmet main body comprises a lining, a buffer layer and a shell; the goggles are located at the lower end of the front face of the helmet body. The jaw protector is located below the goggles. The cap band comprises a band body and a clamping ring, the first end of the band body is fixed to the lower end of the first side of the shell, and the clamping ring is located at the lower end of the second side, opposite to the first side, of the shell. The second end of the belt body is a free end, can penetrate into the clamping ring and is fixed by the clamping ring; a detection box is arranged on the outer surface of the helmet body and above the goggles, and a detection circuit and a storage battery are arranged in the detection box. The detection circuit comprises a three-axis sensor circuit. The intelligent helmet for detecting the dangerous riding behavior of the bicycle based on the three-axis sensor has the advantages that the abnormal riding condition of a rider is monitored in real time, the rider is reminded to pay attention to potential dangers, and riding safety is ensured.

Description

Technical Field

[0001] This utility model relates to a helmet, and more particularly to a smart helmet based on a three-axis sensor for detecting dangerous behaviors while cycling. Background Technology

[0002] A helmet is a protective device for the head, an indispensable tool for military training, combat, and public transportation. Helmets are typically semi-circular and mainly consist of three parts: the outer shell, the liner, and the suspension system. The outer shell is made of materials such as special steel, fiberglass, reinforced plastic, leather, and nylon to protect the head from bullets, shrapnel, and other impacts. The helmet is the last line of defense for the rider's life. In the event of an accident, the helmet absorbs most of the impact force, providing cushioning and shock absorption.

[0003] In recent years, with the popularization of cycling, cycling safety has gradually attracted attention. During cycling, potentially dangerous behaviors by cyclists can lead to serious safety hazards. However, due to a lack of warnings or reminders to cyclists, they are often unaware of these potential safety risks. Traditional cycling helmets primarily protect the head by absorbing impact force during an accident and reducing head injuries afterward, offering only a single function.

[0004] Therefore, there is an urgent need to develop an intelligent helmet to solve the problems of existing helmets having limited functions and lacking hazard warning and reminder functions. Summary of the Invention

[0005] This invention aims to overcome the shortcomings of existing technologies by providing a smart helmet based on a three-axis sensor for detecting dangerous behaviors while cycling. This helmet can issue warnings and remind riders to take measures to ensure safety when potential safety hazards exist.

[0006] The present invention adopts the following technical solution to solve the technical problem.

[0007] This utility model discloses a smart helmet for detecting dangerous behaviors while cycling based on a triaxial sensor, comprising a helmet body, goggles 1, a chin guard 2, and a chin strap;

[0008] The helmet body includes an inner liner 3, a buffer layer 4, and an outer shell 5; the goggles 1 are located at the lower end of the front of the helmet body, and the chin guard 2 is located below the goggles 1; the chin strap includes a strap body 6 and a clasp 7, the first end of the strap body 6 is fixed to the lower end of the first side of the outer shell 5, and the clasp 7 is located at the lower end of the second side of the outer shell opposite to the first side; the second end of the strap body 6 is a free end, which can be inserted into the clasp 7 and fixed by the clasp 7;

[0009] On the outer surface of the shell 5 of the helmet body, above the goggles 1, a detection box 8 is provided. The detection box 8 contains a detection circuit and a battery. The detection circuit includes a triaxial sensor circuit for detecting the acceleration and angle changes of the helmet in the X, Y and Z directions.

[0010] The structural features of this invention, a smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, also lie in:

[0011] In specific implementation, the detection circuit also includes a microcontroller U1, a power supply circuit, an audible alarm circuit, a vibration alarm circuit, and an luminous alarm circuit;

[0012] The power supply circuit is used to provide power to the microcontroller U1, the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit;

[0013] The microcontroller U1 is connected to the power supply of the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit. It receives the detection value from the triaxial sensor circuit and generates an alarm signal based on the detection value, which is then output to the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit.

[0014] The triaxial sensor circuit is used to send the detected values ​​of acceleration and angle changes in the X, Y, and Z directions to the microcontroller U1;

[0015] The sound alarm circuit, vibration alarm circuit, and light alarm circuit are used to generate sound alarm signals, vibration alarm signals, and light alarm signals, respectively.

[0016] In specific implementation, the power supply circuit includes a voltage regulator chip U2, a charging chip U4, an interface chip U5, a rechargeable battery BAT1, resistors R8 to R9, resistors R15 to R16, resistors R22 to R23, capacitors C1 to C3, and capacitor C7.

[0017] In a specific implementation, capacitors C6 and C8 are connected to the microcontroller U1.

[0018] In specific implementation, the microcontroller U1 is model JZ51F9003-QFN20.

[0019] In a specific implementation, the triaxial sensor circuit includes a triaxial accelerometer chip U3, resistors R3 to R4, and capacitors C4 to C5.

[0020] In specific implementation, the model of the triaxial accelerometer chip U3 is SC7A20.

[0021] In specific implementation, the sound warning circuit includes a buzzer J1, a transistor Q1, resistors R1 to R2, and an inductor L1.

[0022] In specific implementation, the vibration warning circuit includes a motor J2, a transistor Q2, a diode D1, and resistors R5 to R6.

[0023] In specific implementation, the light-emitting warning circuit includes a light-emitting diode LED1, a transistor Q3, a resistor R7, and a resistor R10.

[0024] Compared with existing technologies, the beneficial effects of this utility model are reflected in:

[0025] This utility model discloses a smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, comprising a helmet body, goggles, a chin guard, and a chin strap. The helmet body includes an inner liner, a cushioning layer, and an outer shell. The goggles are located at the lower end of the front of the helmet body, and the chin guard is located below the goggles. The chin strap includes a strap body and a retainer. The first end of the strap body is fixed to the lower end of the first side of the outer shell, and the retainer is located at the lower end of the second side of the outer shell opposite to the first side. The second end of the strap body is a free end that can pass through the retainer and be fixed by it. On the outer surface of the helmet body, above the goggles, a detection box is provided, containing a detection circuit and a battery. The detection circuit includes a triaxial sensor circuit.

[0026] This invention relates to a smart helmet for detecting dangerous behaviors while cycling, based on a three-axis sensor. In addition to basic protective functions, it can also monitor the cyclist's behavior in real time using the three-axis sensor. It can detect dangerous behaviors during cycling and alert the cyclist to potential dangers, thereby ensuring cycling safety.

[0027] This invention relates to a smart helmet for detecting dangerous cycling behaviors based on a three-axis sensor. It has the advantages of real-time monitoring of abnormal cycling behavior, alerting riders to potential dangers, and ensuring cycling safety. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the structure of a smart helmet based on a triaxial sensor for detecting dangerous behaviors while cycling, according to this utility model.

[0029] Figure 2 This is a schematic diagram illustrating the workflow of a smart helmet based on a triaxial sensor for detecting dangerous behaviors while cycling, according to this utility model.

[0030] Figure 3 This is a circuit diagram of the power supply circuit of a smart helmet based on a triaxial sensor for detecting dangerous behaviors while cycling.

[0031] Figure 4This is a pin diagram of the microcontroller U1 of a smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, according to this utility model.

[0032] Figure 5 This is a circuit diagram of a triaxial sensor circuit for a smart helmet that detects dangerous cycling behaviors based on a triaxial sensor, according to this utility model.

[0033] Figure 6 This is a circuit diagram of the sound warning circuit of a smart helmet based on a triaxial sensor for detecting dangerous cycling behaviors.

[0034] Figure 7 This is a circuit diagram of a vibration warning system for a smart helmet based on a triaxial sensor for detecting dangerous cycling behaviors.

[0035] Figure 8 This is a circuit diagram of the luminous warning function of a smart helmet based on a triaxial sensor for detecting dangerous cycling behaviors.

[0036] The present invention will be further described below through specific embodiments and in conjunction with the accompanying drawings. Detailed Implementation

[0037] See Figures 1 to 8 The present invention relates to a smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, comprising a helmet body, goggles 1, a chin guard 2, and a chin strap;

[0038] The helmet body includes an inner liner 3, a buffer layer 4, and an outer shell 5; the goggles 1 are located at the lower end of the front of the helmet body, and the chin guard 2 is located below the goggles 1; the chin strap includes a strap body 6 and a clasp 7, the first end of the strap body 6 is fixed to the lower end of the first side of the outer shell 5, and the clasp 7 is located at the lower end of the second side of the outer shell opposite to the first side; the second end of the strap body 6 is a free end, which can be inserted into the clasp 7 and fixed by the clasp 7;

[0039] On the outer surface of the shell 5 of the helmet body, above the goggles 1, a detection box 8 is provided. The detection box 8 contains a detection circuit and a battery. The detection circuit includes a triaxial sensor circuit for detecting the acceleration and angle changes of the helmet in the X, Y and Z directions.

[0040] like Figure 1 This invention relates to a smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, such as... Figure 2This is a flowchart of the smart helmet's workflow. During riding, once the detection phone in the detection box detects dangerous riding behaviors such as collisions, sudden braking, falls, speeding, or bumps, it will promptly warn the rider, prompting them to take measures such as slowing down. This alerts the rider to stop the dangerous behavior before an accident occurs, thus preventing a traffic accident.

[0041] In specific implementation, the detection circuit also includes a microcontroller U1, a power supply circuit, an audible alarm circuit, a vibration alarm circuit, and an luminous alarm circuit;

[0042] The power supply circuit is used to provide power to the microcontroller U1, the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit;

[0043] The microcontroller U1 is connected to the power supply of the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit. It receives the detection value from the triaxial sensor circuit and generates an alarm signal based on the detection value, which is then output to the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit.

[0044] The triaxial sensor circuit is used to send the detected values ​​of acceleration and angle changes in the X, Y, and Z directions to the microcontroller U1;

[0045] The sound alarm circuit, vibration alarm circuit, and light alarm circuit are used to generate sound alarm signals, vibration alarm signals, and light alarm signals, respectively.

[0046] In specific implementation, the power supply circuit includes a voltage regulator chip U2, a charging chip U4, an interface chip U5, a rechargeable battery BAT1, resistors R8 to R9, resistors R15 to R16, resistors R22 to R23, capacitors C1 to C3, and capacitor C7.

[0047] Figure 3 This is a circuit diagram of the power supply circuit of this utility model, and the connection relationship of each component is as follows: Figure 3 As shown. The rechargeable battery BAT1 is connected to an external power source for charging via interface chip U5 and charging chip U4. The voltage is adjusted to +3V by voltage regulator chip U2 before being output. The rechargeable battery BAT1 is a rechargeable lithium battery that powers the smart helmet. The 3.7V lithium battery is stepped down to 3.0V by voltage regulator chip 7530 to power U1 and U3, and powered by charging chip JZC4054 (U4). The interface chip U5 is a TYPE C6P, a 6-pin Type-C interface.

[0048] The voltage regulator chip U2 is a three-terminal regulator HT7530, which features small size, low power consumption, low input and output voltage, small temperature drift coefficient, maximum operating voltage up to 30V, quiescent current of 1.5μA, output voltage accuracy of ±2%, and high cost performance.

[0049] In a specific implementation, capacitors C6 and C8 are connected to the microcontroller U1.

[0050] In specific implementation, the microcontroller U1 is model JZ51F9003-QFN20.

[0051] The JZ51F9003 is a high-performance 8-bit microcontroller manufactured by Wuxi Jingzhe Technology Co., Ltd. and Shenzhen Jingzhe Technology Co., Ltd. Product specifications for the JZ51F9003 can be found at: http: / / www.wxjzkj.com / download / 37 / . The JZ51F9003 includes 16KB of Flash, 1KB of SRAM, 128 bytes of EEPROM, one 8-bit timer, three 16-bit timers / counters, a watchdog timer with an independent clock, one 12-bit ADC, two analog comparators, two UARTs, and one I / O pin. 2 C and 1-channel SPI communication interface, on-chip POR, BOR and LVD, internal 16MHz RC oscillator and 32KHz WDT oscillator, with two low power options. Figure 4 This is the circuit diagram of the microcontroller U1 of this utility model, and the connection relationship of each component is as follows: Figure 4 As shown. The microcontroller U1 is responsible for processing the sensor data and running and calculating according to the built-in algorithm to detect dangerous riding behaviors such as collision, sudden braking, crash, speeding and bump warning, and to issue warning signals according to different situations. In specific calculation, the microcontroller U1 makes judgments on collision, sudden braking, crash, speeding and bump based on the detected values. For example, the following rules can be used to judge different situations: (1) Collision detection judgment: instantaneous acceleration exceeds a certain threshold (such as >3g, that is, the acceleration exceeds 3 times the gravitational acceleration g); (2) Fall judgment: continuous low dynamic after sudden acceleration; (3) Sudden braking / sharp turning judgment: X / Y axis acceleration increases sharply and the direction is continuously deviated; (4) Bump judgment: high frequency vibration amplitude exceeds the safe range.

[0052] In a specific implementation, the triaxial sensor circuit includes a triaxial accelerometer chip U3, resistors R3 to R4, and capacitors C4 to C5.

[0053] Figure 5 This is a circuit diagram of the triaxial sensor circuit of this utility model, and the connection relationship of each component is as follows: Figure 5 As shown. The main control chip U1 reads the acceleration values ​​of the three axes (X, Y, and Z) of the triaxial sensor U3 through the IIC protocol, and uses the acceleration values ​​to determine whether the rider is in a stable riding state or in a dangerous state such as collision, sudden braking, crash, speeding, or bumps.

[0054] In specific implementation, the model of the triaxial accelerometer chip U3 is SC7A20.

[0055] The SC7A20 is a high-precision 12-bit digital triaxial accelerometer chip with richer built-in functions, lower power consumption, smaller size, and more accurate measurements. The chip communicates with the MCU via the IC2 / SPI interface, acquiring acceleration measurement data through interrupt or polling methods. The INT1 and INT2 interrupt pins provide various internally automatically detected interrupt signals to adapt to various motion detection applications, including 6D / 4D direction detection interrupt signals, free fall detection interrupt signals, sleep and wake-up detection interrupt signals, and single-click and double-click detection interrupt signals. The chip incorporates a high-precision calibration module to accurately compensate for sensor offset and gain errors. It offers four adjustable full-range measurement ranges: ±2G, ±4G, ±8G, and ±16G, allowing flexible measurement of external acceleration, with selectable output data rates between 1Hz and 400Hz. The chip's built-in self-test function allows customers to test system functionality during system testing, eliminating the need for complex turntable testing. The chip also includes a product tilt calibration function to compensate for tilt caused by surface mount and board mounting, without consuming system resources; system file upgrades do not affect sensor parameters. The three-axis sensor module collects acceleration and angle changes along the X, Y, and Z axes, detects the helmet's linear acceleration and attitude changes, and then infers the rider's motion state. By default, the center of the helmet's front is used as the coordinate origin, the horizontal direction facing forward is the positive X-axis, the horizontal direction to the right of the helmet is the positive Y-axis, and the vertical upward direction is the positive Z-axis.

[0056] In specific implementation, the sound warning circuit includes a buzzer J1, a transistor Q1, resistors R1 to R2, and an inductor L1.

[0057] Figure 6 This is a circuit diagram of the sound warning circuit of this utility model, and the connection relationship of each component is as follows: Figure 6 As shown. Buzzer J1 is connected to the power supply circuit through resistor R2. Transistor Q1 is connected to microcontroller U1 through resistor R1, receiving the audible alarm signal from microcontroller U1 and causing buzzer J1 to emit a buzzing alarm. L1 is a three-pin inductor.

[0058] In specific implementation, the vibration warning circuit includes a motor J2, a transistor Q2, a diode D1, and resistors R5 to R6.

[0059] Figure 7 This is a circuit diagram of the sound warning circuit of this utility model, and the connection relationship of each component is as follows: Figure 7 As shown. Motor J2 is connected to the power supply circuit through resistor R5. Transistor Q2 and resistor R6 are connected to microcontroller U1, receiving the vibration alarm signal from microcontroller U1 and causing motor J2 to vibrate and trigger an alarm.

[0060] In specific implementation, the light-emitting warning circuit includes a light-emitting diode LED1, a transistor Q3, a resistor R7, and a resistor R10.

[0061] Figure 8 This is a circuit diagram of the luminous warning circuit of this utility model, and the connection relationship of each component is as follows: Figure 8 As shown. LED1 is connected to the power supply circuit via resistor R10. LED1 is also connected to microcontroller U1 via transistor Q3 and resistor R7, receiving the light-emitting alarm signal from microcontroller U1 and causing LED1 to light up.

[0062] In this invention, the MCU collects data from the triaxial sensor and processes it, using an algorithm to determine if there is any dangerous riding behavior. Simultaneously, a vibration motor provides tactile feedback, an LED warning light provides visual cues, and a buzzer provides audible alarms, offering multiple warning and alert methods to address different levels of risk. Specifically, the following tiered warning system can be used: low risk (single vibration alert) → medium risk (single LED flashing) → high risk (a combination of sound, light, and vibration alerts).

[0063] This invention relates to a smart helmet for detecting dangerous behaviors while cycling, based on a three-axis sensor. In addition to basic protective functions, it can also monitor the cyclist's behavior in real time using the three-axis sensor. It can detect dangerous behaviors during cycling and alert the cyclist to potential dangers, thereby ensuring cycling safety.

[0064] It will be apparent to those skilled in the art that this invention is not limited to the details of the exemplary embodiments described above, and that it can be implemented in other specific forms without departing from the spirit or essential characteristics of this invention. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0065] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor, characterized in that, Includes the helmet body, goggles (1), chin guard (2), and chin strap; The helmet body includes an inner liner (3), a buffer layer (4), and an outer shell (5); the goggles (1) are located at the lower end of the front of the helmet body, and the chin guard (2) is located below the goggles (1); the chin strap includes a strap body (6) and a clasp (7), the first end of the strap body (6) is fixed to the lower end of the first side of the outer shell (5), and the clasp (7) is located at the lower end of the second side of the outer shell opposite to the first side; the second end of the strap body (6) is a free end, which can be inserted into the clasp (7) and fixed by the clasp (7); On the outer surface of the shell (5) of the helmet body, above the goggles (1), a detection box (8) is provided. The detection box (8) contains a detection circuit and a battery. The detection circuit includes a triaxial sensor circuit for detecting the acceleration and angle changes of the helmet in the X, Y and Z directions.

2. The smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 1, characterized in that, The detection circuit also includes a microcontroller U1, a power supply circuit, an audible alarm circuit, a vibration alarm circuit, and an illuminating alarm circuit; The power supply circuit is used to provide power to the microcontroller U1, the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit; The microcontroller U1 is connected to the power supply of the triaxial sensor circuit, the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit. It receives the detection value from the triaxial sensor circuit and generates an alarm signal based on the detection value, which is then output to the sound alarm circuit, the vibration alarm circuit, and the light alarm circuit. The triaxial sensor circuit is used to send the detected values ​​of acceleration and angle changes in the X, Y, and Z directions to the microcontroller U1; The sound alarm circuit, vibration alarm circuit, and light alarm circuit are used to generate sound alarm signals, vibration alarm signals, and light alarm signals, respectively.

3. The smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The power supply circuit includes a voltage regulator chip U2, a charging chip U4, an interface chip U5, a rechargeable battery BAT1, resistors R8 to R9, resistors R15 to R16, resistors R22 to R23, capacitors C1 to C3, and capacitor C7.

4. The smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The microcontroller U1 is connected to capacitors C6 and C8.

5. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 4, characterized in that, The microcontroller U1 is model JZ51F9003-QFN20.

6. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The triaxial sensor circuit includes a triaxial accelerometer chip U3, resistors R3 to R4, and capacitors C4 to C5.

7. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 6, characterized in that, The model number of the triaxial accelerometer chip U3 is SC7A20.

8. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The sound warning circuit includes a buzzer J1, a transistor Q1, resistors R1 to R2, and an inductor L1.

9. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The vibration warning circuit includes a motor J2, a transistor Q2, a diode D1, and resistors R5 to R6.

10. A smart helmet for detecting dangerous cycling behaviors based on a triaxial sensor according to claim 2, characterized in that, The light-emitting warning circuit includes a light-emitting diode LED1, a transistor Q3, a resistor R7, and a resistor R10.

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