Intelligent helmet suitable for electric bicycle
By integrating a navigation module and a safety warning and detection module into an electric bicycle helmet, the problem of not being able to provide navigation information and risk warnings simultaneously in existing technologies has been solved, enabling real-time navigation and intelligent safety prompts, and improving riding safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2026-03-27
Smart Images

Figure CN224038546U_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The utility model belongs to the field of intelligent helmet, specifically relates to an intelligent helmet suitable for electric bicycle. BACKGROUND
[0002] In recent years, electric bicycles have rapidly spread in China, with annual production reaching over 30 million and total social ownership reaching about 200 million, and the user population is wide. However, accidents occur frequently, and in the first quarter of 2019, traffic accidents involving electric bicycles accounted for 37.6% in Zhejiang Province, and the number of deaths from electric vehicle accidents accounted for 29.1%, of which about 80% died from craniocerebral injury. The causes of the accidents include non-compliance of vehicles with safety technical specifications and violation of traffic rules by riders, but riders who comply with traffic rules still face risks while riding.
[0003] A helmet is a device for protecting the head, a hat worn by soldiers during training and combat, and an indispensable tool for people during transportation. It is usually semicircular and mainly composed of a shell, a liner, and a suspension device. The shell is made of special steel, glass steel, reinforced plastic, leather, nylon, etc. to resist damage to the head. However, the traditional helmet causes perception problems for riders, with limited vision: the electric bicycle lane is narrow and has many vehicles, and when changing direction or lane, the human vision is limited, it is difficult to turn the head after wearing head accessories such as helmets, and it is difficult to pay attention to the side and rear vehicles in time. Information interference: riders often look at their phones to get navigation information, but they will be distracted by other irrelevant information, and experiments show that looking at the phone reduces the driving field of view by nearly half and ignores road information.
[0004] The commonly used rearview mirror and whistle warning methods have defects, as looking at the rearview mirror will ignore the information in front, and the whistle sound is not clearly directed; Bluetooth earphones are used to obtain navigation information, but they will ignore road traffic information.
[0005] The utility model with publication number CN212185371U discloses a helmet supporting AR HUD function, which aims to solve the problems of single function of existing helmets, lack of heads-up display function, and inability to fix the phone in the position of the helmet. The utility model includes a helmet body, a front camera fixedly installed on the top of the helmet body, a rear camera fixedly installed on one side of the helmet body, an augmented reality heads-up display and a GPS module fixedly connected to the helmet body, an installation plate fixedly installed on one side of the helmet body, a first clamping frame fixedly installed on one side of the installation plate, two fixed grooves opened on one side of the first clamping frame, and a movable rod slidingly installed in each of the two fixed grooves. The utility model has a reasonable structure and is easy to operate. The helmet has rich functions, has a heads-up display function, can take pictures around the helmet body, and can fix the position of the phone on the helmet.
[0006] The patent application with the publication number CN116671694A discloses a helmet, which comprises a shell and at least one noise reduction sound device. The noise reduction sound device is fixedly connected to the inner side of the shell and is placed at at least one ear of a wearer when the helmet is worn. The disclosure sets at least one noise reduction sound device on the inner side of the helmet shell, so that the noise reduction sound device can be placed at at least one ear of the rider when the rider wears the helmet. Even in a noisy environment, the noise and wind noise will be reduced by the noise reduction sound device and transmitted to the rider's ear, so that the rider can clearly hear voice information such as navigation information or call information.
[0007] However, the helmets disclosed in the above two patent applications cannot provide navigation information and risk warning functions to users at the same time. SUMMARY
[0008] The utility model provides a kind of intelligent helmet suitable for electric bicycle, which can provide navigation information display function and risk prompt function for users.
[0009] The present application provides an intelligent helmet suitable for electric bicycle, comprising:
[0010] A helmet body;
[0011] A navigation module is fixed to the front of the helmet body. The navigation module is used to display received navigation information to the user.
[0012] A safety warning detection module is fixed to the rear of the helmet body. The safety warning detection module is used to identify objects behind the user and measure the distance and relative speed between the user and the objects. The measured distance and relative speed are compared with the set safety threshold to determine the safety risk, and the user is prompted about the risk through vibration.
[0013] A battery module is fixed to the upper part of the helmet body and is used to supply power to the navigation module and the safety warning detection module.
[0014] Preferably, the navigation module comprises:
[0015] A navigation front cover plate;
[0016] A navigation rear cover plate is fixed to the front of the helmet body and is connected to the navigation front cover plate through buckling.
[0017] An information receiving and processing sub-module and an imaging sub-module are respectively located in a cavity surrounded by the navigation front cover plate and the navigation rear cover plate, and are fixed on the navigation front cover plate, the information receiving and processing sub-module is used for receiving navigation information transmitted by a mobile device, and the imaging sub-module is connected with the information receiving and processing sub-module and is used for displaying the navigation information to a user.
[0018] Preferably, the information receiving and processing sub-module comprises a Bluetooth device and an Arduino nano development board, and the Bluetooth device and the Arduino nano development board are respectively fixed on the navigation front cover plate.
[0019] The Bluetooth device is used for transmitting the received navigation information transmitted by the mobile device to the Arduino nano development board.
[0020] The Arduino nano development board is used for sending the processed navigation information to the imaging sub-module.
[0021] Preferably, the imaging sub-module comprises an OLED module and a display module.
[0022] The OLED module is connected with the Arduino nano development board and is used for displaying the processed navigation information on the display module.
[0023] The display module is located in front of the user and is used for displaying the navigation information to the user.
[0024] Preferably, the display module is a head-up display device, and the head-up display device is composed of a convex lens, a plane mirror and transparent plastic.
[0025] The convex lens preliminarily focuses light emitted from the OLED module.
[0026] The plane mirror changes the propagation direction of the focused light.
[0027] The transparent plastic projects the light with the changed direction to the front of the user.
[0028] Preferably, the safety warning detection module comprises:
[0029] A safety warning detection rear cover plate is provided with an LED lamp strip and a laser exit port.
[0030] A safety warning detection front cover plate is fixed on the rear part of the helmet body and is buckled with the safety warning detection rear cover plate.
[0031] A laser radar sensor is located in a cavity surrounded by the safety warning detection front cover plate and the safety warning detection rear cover plate, and is fixed on the safety warning detection front cover plate, and is used for emitting laser to the rear object through the laser exit port, so as to detect the distance information between the rear object and the user.
[0032] An information processing sub-module is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection, is fixed on the front cover plate of the safety warning detection, and is connected with the laser radar sensor, for obtaining the relative speed between the user and the rear object based on the time interval between the laser measurements and the corresponding distance information, comparing the measured distance and the relative speed with the set safety threshold, and obtaining the safety risk degree information;
[0033] A vibration module is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection, is fixed on the front cover plate of the safety warning detection, and is connected with the information processing sub-module, for performing vibration of the corresponding frequency and intensity based on the received safety risk degree information, so as to realize the early warning prompt.
[0034] Preferably, the laser radar sensor further comprises a human body recognition sensor.
[0035] The human body recognition sensor is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection, and is fixed on the front cover plate of the safety warning detection, for recognizing the shape and motion speed characteristics of the object.
[0036] Preferably, the battery module is electrically connected with the navigation module and the safety warning detection module through Pogo pins respectively.
[0037] Preferably, the navigation module, the safety warning detection module and the battery module are all provided with magnets and Pogo pin interfaces.
[0038] The helmet body is provided with magnets corresponding to the navigation module, the safety warning detection module and the battery module, and the navigation module, the safety warning detection module and the battery module are fixed on the front part, the rear part and the upper part of the helmet body through magnetic attraction.
[0039] The helmet body is further provided with reserved holes corresponding to the Pogo pin interfaces of the navigation module, the safety warning detection module and the battery module, and the Pogo pins are connected with the interfaces in the modules through the reserved holes.
[0040] Preferably, a sealing member is further included, which is arranged around the Pogo pin and at the joint between the navigation module, the safety warning detection module, the battery module and the helmet body, and the sealing member comprises sealing glue or a waterproof gasket.
[0041] Compared with the prior art, the utility model has the advantages of:
[0042] The application shows the user real-time navigation information through the interaction between the navigation module located at the front part of the helmet body and the mobile device, avoids the safety risk caused by checking the mobile phone navigation, and can intelligently judge whether the object behind the user will bring risk to the user's riding through the safety early warning detection module and give the user a risk prompt. BRIEF DESCRIPTION OF DRAWINGS
[0043] Figure 1 The intelligent helmet structure suitable for the electric bicycle is provided in the utility model.
[0044] Figure 2 The schematic diagram of the connection of various modules is provided in the utility model.
[0045] Figure 3 The schematic diagram of the navigation module is provided in the utility model.
[0046] Figure 4 The schematic diagram of the safety early warning detection module is provided in the utility model.
[0047] Figure 5 The schematic diagram of the battery module is provided in the utility model.
[0048] The helmet body 1, the navigation module 2, the navigation front cover plate 21, the navigation rear cover plate 22, the information receiving and processing sub-module 23, the Bluetooth device 231, the Arduino nano development board 232, the imaging sub-module 24, the OLED module 241, the display module 242, the safety early warning detection module 3, the safety early warning detection rear cover plate 31, the safety early warning detection front cover plate 32, the laser radar sensor 33, the information processing sub-module 34, the vibration module 35, the battery module 4, the battery front cover plate 41, the battery rear cover plate 42 and the battery 43 are provided. DETAILED DESCRIPTION
[0049] The utility model is specifically described in combination with the drawings.
[0050] The utility model provides a kind of intelligent helmet suitable for electric bicycle, as Figure 1 As shown in the figure, including helmet body 1, navigation module 2, safety early warning detection module 3 and battery module 4.
[0051] The navigation module 2 provided by the utility model is fixed to the front part of the helmet body 1, close to the eye of user, to ensure that user can clearly and conveniently obtain navigation information, the navigation module 2 is used to show the received navigation information to user, in an embodiment, the utility model is designed by increasing cap brim, prolongs front space, meets the distance requirement of display module and eye, to ensure that HUD display effect is good.
[0052] The safety early warning detection module 3 is fixed to the rear part of the helmet body 1, the safety early warning detection module 3 is used for identifying the object behind the user, and the distance and relative speed between the user and the object behind are measured, the measured distance and relative speed are compared with the set safety threshold value, so as to judge the safety risk, and the risk is prompted to the user in a vibration mode.
[0053] The battery module 4 is fixed to the upper part of the helmet body 1, and the battery volume is small and the power consumption is low; the battery is placed in the helmet, so that the overall performance of the helmet is not affected, and the battery can supply power to other modules, such as the navigation module 2 and the safety early warning detection module 3. Figure 2 The battery module 4 is connected with the navigation module 2 and the safety early warning detection module 3, and is used for supplying power to the navigation module 2 and the safety early warning detection module 3.
[0054] The navigation module 2 comprises a navigation front cover plate 21, a navigation rear cover plate 22, an information receiving and processing sub-module 23 and an imaging sub-module 24. Figure 3
[0055] The navigation rear cover plate 22 is fixed to the front part of the helmet body 1, and is buckled with the navigation front cover plate 21; the information receiving and processing sub-module 23 and the imaging sub-module 24 are located between the navigation front cover plate 21 and the navigation rear cover plate 22, and are fixed to the navigation front cover plate 21; the imaging sub-module 24 is connected with the information receiving and processing sub-module 23, and is used for displaying navigation information to the user.
[0056] The information receiving and processing sub-module 23 comprises a Bluetooth device 231 and an Arduino nano development board 232; the Bluetooth device 231 and the Arduino nano development board 232 are fixed to the navigation front cover plate 21 respectively; the Bluetooth device 231 receives navigation information transmitted wirelessly from a mobile device, and sends the navigation information to the Arduino nano development board 232 for processing; in an embodiment, the navigation information is a high-dee map API called by a mobile phone app, and map and road condition information are collected; key navigation information (such as turning indication and distance to destination) is sent to the Arduino nano development board 232; in a specific embodiment, the Bluetooth device 231 is an HC-50 Bluetooth module.
[0057] The imaging sub-module comprises an OLED module and a display module; the OLED module is connected with the Arduino nano development board, and is used for displaying processed navigation information on the display module; in an embodiment, the OLED module is a 12864 OLED module, and has the characteristics of self-luminous, high contrast and wide viewing angle; the navigation information is clearly displayed on a transparent display screen in front of a rider;
[0058] The display module provided by the utility model is located in front of the user, and is used for showing navigation information to the user, in an embodiment, in order to realize clear presentation of the navigation information in the field of view of the rider, the navigation module adopts HUD (head-up display) technology, and the optical imaging system thereof is mainly composed of convex lenses, plane mirrors, transparent plastics and the like. The light emitted from the OLED display screen is firstly primarily focused through the convex lenses, then changes the light propagation direction through the plane mirrors, and finally is projected in front of the rider through the transparent plastics, so that a clear and visible virtual image is formed. The imaging principle utilizes the refraction and reflection laws of light, so that the rider can intuitively see the navigation prompt information without shifting the line of sight, and the risk of distraction due to looking down at the mobile phone or other navigation equipment is reduced.
[0059] The safety early warning detection module 3 provided by the utility model, as shown in the figure, comprises a safety early warning detection rear cover plate 31, a safety early warning detection front cover plate 32, a laser radar sensor 33, an information processing sub-module 34 and a vibration module 35. Figure 4
[0060] The safety early warning detection rear cover plate 31 provided by the utility model is provided with an LED lamp strip and a laser exit port.
[0061] The safety early warning detection front cover plate 32 provided by the utility model is fixed at the rear part of the helmet body 1, and is snap-buckled with the safety early warning detection rear cover plate 31.
[0062] The laser radar sensor 33 provided by the utility model is located in the cavity surrounded by the safety early warning detection front cover plate 32 and the rear cover plate 31, and is fixed on the safety early warning detection front cover plate 32, and is used for emitting laser to the rear object through the laser exit port, so as to detect the distance information between the rear object and the user.
[0063] The information processing sub-module 34 provided by the utility model is located in the cavity surrounded by the safety early warning detection front cover plate 32 and the rear cover plate 31, and is fixed on the safety early warning detection front cover plate 32, and is connected with the laser radar sensor 33, and is used for obtaining the relative speed between the user and the rear object based on the time interval and the corresponding distance information between the laser measurement, comparing the measured distance and the relative speed with the set safety threshold, and obtaining the safety risk degree information.
[0064] The vibration module 35 provided by the utility model is located in the cavity surrounded by the safety early warning detection front cover plate 32 and the rear cover plate 33, and is fixed on the safety early warning detection front cover plate 32, and is connected with the information processing sub-module 34, and is used for performing vibration of corresponding frequency and intensity based on the received safety risk degree information, so as to realize early warning prompt.
[0065] In one specific embodiment, the lidar sensor 33 is a TFmini lidar sensor, which is used to detect objects behind the rider. The TFmini lidar sensor operates based on the principle of laser ranging. It emits a laser beam, which reflects back after encountering an object behind the rider. The sensor calculates the distance between the object and the helmet (cyclist) by measuring the time difference between the emitted and reflected laser beams. The sensor has a transmission and reception frequency of 0.01s, enabling it to quickly and accurately acquire distance information for objects behind the rider. Simultaneously, to eliminate other possible interfering objects (such as stationary objects on the roadside, pedestrians, etc.), the module is also equipped with a human body recognition sensor. By recognizing features such as object shape and movement speed, the accuracy of detection is further improved.
[0066] In one specific embodiment, the information processing submodule 34 is an Arduino nano development board that receives data from the TFmini LiDAR sensor and calculates the relative speed and encounter time of the approaching vehicle based on the distance information and the sensor's transmission frequency. The specific calculation formula is as follows: Let the time interval between two measurements by the LiDAR sensor be Δt (in this invention, Δt = 0.01s), and the distances measured in the two measurements be d1 and d2, then the relative speed of the approaching vehicle... Based on the calculated speed and distance information, combined with preset safety thresholds (such as safe distance, dangerous approach speed, etc.), it is determined whether there is a risk from vehicles approaching from behind.
[0067] In one specific embodiment, the vibration module 35 vibrates the N20 motor. When a hazard is detected from behind, the Arduino nano development board controls the N20 motor to vibrate, using the tactile stimulation generated by the motor vibration to alert the rider to the approaching vehicle. The vibration intensity and mode can be set according to the degree of danger; for example, the higher the degree of danger, the faster the vibration frequency and the greater the intensity, so that the rider can perceive the hazard in time and take appropriate evasive action.
[0068] The battery module 4 provided by this utility model, such as Figure 5 As shown, it includes a battery front cover 41, a battery rear cover 42, and a battery 43. The battery front cover 41 is fixed to the helmet body 1, and the battery 43 is fixed to the battery front cover 41 and located in the cavity formed by the battery front cover 41 and the battery rear cover 42.
[0069] In one specific embodiment, this invention adopts an overall power supply method, with 18650 rechargeable batteries providing power to the various modules of the helmet. 18650 rechargeable batteries have advantages such as high energy density, long cycle life, and low self-discharge rate, which can meet the power requirements of the helmet's various electronic components.
[0070] The battery module is electrically connected with other functional modules (a navigation module, a rear safety early warning module and the like) through a Pogo pin.
[0071] In terms of circuit components, various electronic components are reasonably arranged to optimize circuit signal transmission, reduce electromagnetic interference and facilitate maintenance and debugging.
[0072] In the circuit, data signals are transmitted between various components according to a predetermined communication protocol.
[0073] The modules and the helmet body 1 are assembled by combining a magnet and a Pogo pin.
[0074] The utility model provides a be provided for improving the use reliability of helmet in rainy day or humid environment, has adopted a plurality of waterproof measures on structure design. In addition to setting up rubber waterproof ring around Pogo pin, adopts sealing glue or waterproof washer to carry out sealing treatment in the joint of module and helmet body, battery module shell and other possible water inlet parts. For example, the part between OLED display screen and shell of navigation module, sensor shell of rear safety early warning module etc. are all carried out waterproof sealing design, prevent moisture from entering internal circuit, damage electronic components, ensure that helmet can work normally under various weather conditions.
Claims
1. A smart helmet suitable for use with an electric bicycle, characterized in that, The helmet comprises: a helmet body; a navigation module fixed to the front of the helmet body, the navigation module being configured to display received navigation information to a user; a safety warning detection module fixed to the rear of the helmet body, the safety warning detection module being configured to identify an object behind the user and measure the distance and relative speed between the user and the object, compare the measured distance and relative speed with a set safety threshold to determine a safety risk, and alert the user of the risk through vibration; a battery module fixed to the upper part of the helmet body, configured to supply power to the navigation module and the safety warning detection module; the navigation module comprises: a navigation front cover plate; a navigation rear cover plate fixed to the front of the helmet body and buckled to the navigation front cover plate; an information receiving and processing sub-module and an imaging sub-module, respectively located in a cavity formed by the navigation front cover plate and the navigation rear cover plate, and fixed to the navigation front cover plate, the information receiving and processing sub-module being configured to receive navigation information transmitted by a mobile device, and the imaging sub-module being connected to the information receiving and processing sub-module and configured to display the navigation information to the user; the information receiving and processing sub-module comprises a Bluetooth device and an Arduino nano development board, which are respectively fixed to the navigation front cover plate; the Bluetooth device is configured to transmit the received navigation information transmitted by the mobile device to the Arduino nano development board; the Arduino nano development board is configured to send the processed navigation information to the imaging sub-module; the imaging sub-module comprises an OLED module and a display module; the OLED module is connected to the Arduino nano development board and configured to display the processed navigation information on the display module; the display module is located in front of the user and configured to display the navigation information to the user; the display module is a head-up display device, which comprises a convex lens, a plane mirror and transparent plastic; the convex lens is configured to preliminarily focus light emitted from the OLED module; the plane mirror is configured to change the propagation direction of the focused light; the transparent plastic is configured to project the light with the changed direction to the front of the user; the safety warning detection module comprises: a safety warning detection rear cover plate provided with an LED light strip and a laser exit port; a safety warning detection front cover plate fixed to the rear of the helmet body and buckled to the safety warning detection rear cover plate; a laser radar sensor located in a cavity formed by the safety warning detection front cover plate and the rear cover plate, and fixed to the safety warning detection front cover plate, configured to emit laser to the rear object through the laser exit port to detect the distance information between the rear object and the user. An information processing submodule is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection device, fixed on the front cover plate, and connected with the laser radar sensor. The submodule is used to obtain the relative speed between the user and the object behind based on the time interval between laser measurements and the corresponding distance information, compare the measured distance and relative speed with the set safety threshold, and obtain the safety risk degree information. A vibration module is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection device, fixed on the front cover plate, and connected with the information processing submodule. The vibration module is used to perform vibration with corresponding frequency and intensity based on the received safety risk degree information, so as to realize early warning. The laser radar sensor further comprises a human body recognition sensor. The human body recognition sensor is located in the cavity surrounded by the front cover plate and the rear cover plate of the safety warning detection device, and fixed on the front cover plate. The human body recognition sensor is used to recognize the shape and motion speed characteristics of the object.
2. The smart helmet suitable for e-bike according to claim 1, characterized in that, The battery module is electrically connected with the navigation module and the safety warning detection module through Pogo pins.
3. The smart helmet suitable for e-bike as claimed in claim 1, wherein, Magnets and Pogo pin interfaces are arranged on the navigation module, the safety warning detection module, and the battery module. Magnets corresponding to the navigation module, the safety warning detection module, and the battery module are arranged in the helmet body. The navigation module, the safety warning detection module, and the battery module are fixed on the front, rear, and upper parts of the helmet body through magnetic attraction. The helmet body is further provided with reserved holes corresponding to the Pogo pin interfaces of the navigation module, the safety warning detection module, and the battery module. The Pogo pins are connected with the interfaces in the modules through the reserved holes.
4. The smart helmet suitable for e-bike as claimed in claim 1, wherein, A sealing member is arranged around the Pogo pins and at the joints between the navigation module, the safety warning detection module, the battery module, and the helmet body. The sealing member comprises sealing glue or a waterproof gasket.
Citation Information
Patent Citations
Helmet
CN116671694A
Helmet supporting AR HUD function
CN212185371U