Riding safety control device for detecting helmet wearing of user

Abstract

The utility model belongs to the field of safe travel equipment, and provides a riding safety control device for detecting helmet wearing of a user, which comprises a helmet body, a control component is mounted at a shell of the helmet body, and a bandage component is mounted at the bottom of the helmet body; the vehicle machine end assembly comprises a second Bluetooth module, a microcontroller and a motor control unit which are mounted at a vehicle machine, and further comprises a near-field inductive sensor and a vehicle vibration sensor; through the arrangement of the helmet body, the vehicle machine end assembly and the control assembly, the wearing state of the helmet can be monitored in real time, whether the helmet is correctly worn or not can be immediately judged before a vehicle is started, active intervention is achieved, the situation that a driver and passengers run on the road without correctly wearing the helmet is effectively avoided, and the safety of the driver and passengers is improved. The front guarantee capability of road safety is greatly improved, and the serious consequence risk caused by the fact that the helmet is not worn correctly when an accident occurs is effectively reduced.

Description

TECHNICAL FIELD

[0001] The utility model belongs to safe travel equipment field, specifically a kind of detection user helmet wearing riding safety control device. BACKGROUND

[0002] In road traffic, motorcycles and electric vehicles are widely used due to their flexibility and convenience, but also bring high safety risks. According to statistics, a large number of traffic accidents involve motorcycle and electric vehicle drivers and passengers, and head injuries are often an important cause of serious injury and death. Wearing a helmet can significantly reduce the severity of head injuries. However, there are still some drivers and passengers who do not wear helmets or wear them incorrectly, which urgently needs effective means to force or guide them to wear helmets correctly, thereby improving road traffic safety.

[0003] Current supervision of motorcycle and electric vehicle drivers and passengers' helmet wearing mainly relies on traffic law enforcement supervision equipment and manual supervision, which has limited monitoring range and cannot intervene in real time. Manual supervision consumes a lot of manpower and resources, and it is difficult to achieve comprehensive and uninterrupted supervision, leaving many blind spots.

[0004] Therefore, the skilled in the art proposes a riding safety control device for detecting user helmet wearing to solve the problems in the background art. CONTENT OF THE UTILITY MODEL

[0005] To solve the above technical problems, the utility model provides a riding safety control device for detecting user helmet wearing to solve the problems in the prior art that supervision of motorcycle and electric vehicle drivers and passengers' helmet wearing mainly relies on traffic law enforcement supervision equipment and manual supervision, which has limited monitoring range and cannot intervene in real time.

[0006] A riding safety control device for detecting user helmet wearing, comprising: a helmet body, a control assembly is installed on the helmet body shell, and a strap assembly is installed at the bottom of the helmet body;

[0007] A car machine end assembly, comprising a second Bluetooth module, a microcontroller and a motor control unit installed on the car machine, and further comprising a near-field induction sensor and a vehicle vibration sensor;

[0008] The control assembly comprises a power supply module, a control board, a micro switch, a first Bluetooth module, a position sensor, a Hall sensor and a pressure sensor; the Hall sensor is installed in the strap assembly; the first Bluetooth module is paired and connected with the second Bluetooth module; the Hall sensor and the pressure sensor are electrically connected with the micro switch.

[0009] Preferably, the helmet body is provided with an inner pad, a pressure sensor is mounted at the inner wall of the inner pad, and the pressure sensor is a thin film pressure sensor.

[0010] Preferably, the binding assembly comprises a first binding band and a second binding band connected to the two side walls of the helmet body, a buckle assembly is mounted between the first binding band and the second binding band, the buckle assembly comprises a fixing seat and a plug buckle, one end of the first binding band is connected to the fixing seat, one end of the second binding band is connected to the plug buckle, an inner groove is formed in the side wall of the fixing seat, limit grooves are formed in the two side walls of the inner groove, a center rod and two groups of plug rods are fixedly connected to the end face of the plug buckle, clamping portions are fixedly connected to the side walls of the plug rods, and the clamping portions are clamped with the limit grooves.

[0011] Preferably, a Hall sensor is mounted at the inner wall of the inner groove, and a limit spring is further connected to the inner wall of the inner groove, one end of the limit spring is connected to a limit plate, and a magnetic block is mounted at the side wall of the limit plate, the position of the magnetic block corresponds to the Hall sensor.

[0012] Preferably, a limit portion is fixedly connected to the inner wall of the inner groove, and the position of the limit plate corresponds to the limit portion.

[0013] Preferably, the car machine end assembly further comprises a near field induction sensor and a vehicle vibration sensor.

[0014] Compared with the prior art, the utility model has the advantages of the following beneficial effects:

[0015] The utility model discloses a helmet body, car machine end assembly and control assembly are set up, can real -time monitoring the wearing state of helmet, immediately judge whether the helmet is correctly worn before the start of the vehicle, has realized the active intervention, effectively avoided the driver in the case not correctly wearing the helmet and drove on the road, greatly improved the front guarantee ability of road safety, effectively reduced the serious consequence risk of the accident because of not correctly wearing the helmet. ACCURACY OF DRAWINGS

[0016] Figure 1 It is the whole structure schematic diagram of the utility model;

[0017] Figure 2 It is the left side three -dimensional structure schematic diagram of the utility model;

[0018] Figure 3 It is Figure 2 It is the partial close -up view of A portion;

[0019] Figure 4 It is the three -dimensional structure schematic diagram of the helmet body;

[0020] Figure 5 It is Figure 4 It is the partial close -up view of B portion;

[0021] Figure 6 Structure diagram of the control assembly;

[0022] Figure 7 Structure diagram of the vehicle terminal assembly.

[0023] In the figure:

[0024] 1, helmet body; 2, binding strap assembly; 201, first binding strap; 202, second binding strap; 3, buckle assembly; 301, fixed seat; 301a, inner groove; 302, plug buckle; 303, plug rod; 304, clamping part; 305, limiting groove; 306, center rod; 4, inner liner; 5, pressure sensor; 6, control assembly; 601, power supply module; 602, control board; 603, micro switch; 604, first Bluetooth module; 605, position sensor; 7, Hall sensor; 8, limiting spring; 9, limiting plate; 10, magnetic block; 11, limiting part; 12, vehicle terminal assembly; 1201, second Bluetooth module; 1202, microcontroller; 1203, motor control unit; 1204, near field induction sensor; 1205, vehicle vibration sensor. DETAILED DESCRIPTION

[0025] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0026] Example 1: as shown in the accompanying drawings Figure 1 to the accompanying drawings Figure 7 The present application provides a riding safety control device for detecting user helmet wearing, which comprises a helmet body 1, a vehicle terminal assembly 12 and a control assembly 6.

[0027] The control assembly 6 is installed at the shell of the helmet body 1, and the binding strap assembly 2 is installed at the bottom of the helmet body 1.

[0028] The vehicle terminal assembly 12 comprises a second Bluetooth module 1201, a microcontroller 1202, a motor control unit 1203, a near field induction sensor 1204 and a vehicle vibration sensor 1205 installed at the vehicle terminal.

[0029] The control assembly 6 comprises a power supply module 601, a control board 602, a micro switch 603, a first Bluetooth module 604, a position sensor 605, a Hall sensor 7 and a pressure sensor 5. The Hall sensor 7 is installed in the binding strap assembly 2, the first Bluetooth module 604 is connected in pairs with the second Bluetooth module 1201, and the Hall sensor 7 and the pressure sensor 5 are both electrically connected with the micro switch 603.

[0030] The helmet body 1 is provided with an inner liner 4, and a pressure sensor 5 is mounted at the inner wall of the inner liner 4, and the pressure sensor 5 is a thin film pressure sensor.

[0031] The binding assembly 2 comprises a first binding 201 and a second binding 202 connected to the two side walls of the helmet body 1, and the buckle assembly 3 is mounted between the first binding 201 and the second binding 202.

[0032] The buckle assembly 3 comprises a fixing seat 301 and a plug buckle 302, one end of the first binding 201 is connected to the fixing seat 301, and one end of the second binding 202 is connected to the plug buckle 302, an inner groove 301a is formed in the side wall of the fixing seat 301, limit grooves 305 are formed in the two side walls of the inner groove 301a, a center rod 306 and two groups of plug rods 303 are fixedly connected to the end face of the plug buckle 302, a clamping part 304 is fixedly connected to the side wall of the plug rod 303, and the clamping part 304 is clamped with the limit groove 305.

[0033] A Hall sensor 7 is mounted at the inner wall of the inner groove 301a, and a limit spring 8 is further connected to the inner wall of the inner groove 301a, one end of the limit spring 8 is connected to a limit plate 9, a magnetic block 10 is mounted at the side wall of the limit plate 9, and the position of the magnetic block 10 corresponds to the Hall sensor 7.

[0034] A limit part 11 is fixedly connected to the inner wall of the inner groove 301a, and the position of the limit plate 9 corresponds to the limit part 11.

[0035] A method for detecting a user's helmet wearing riding safety control device, comprising:

[0036] S1, the vehicle is powered on, the second Bluetooth module 1201 of the vehicle machine end starts broadcasting, the microcontroller 1202 initializes the vehicle vibration sensor 1205 and the near field induction sensor 1204, and the motor control unit 1203 locks the vehicle;

[0037] S2, the user wears the helmet, the inner liner pressure sensor 5 senses the pressure reaching the threshold value, sends a signal to the micro switch 603, the micro switch 603 is partially closed, the power supply module 601 pre-powers the first Bluetooth module 604, and the first Bluetooth module 604 scans the vehicle machine Bluetooth signal and connects.

[0038] S3, the user tightens the binding, the plug buckle 302 moves to make the Hall sensor 7 sense the change of the magnetic field, sends a signal to the micro switch 603, the micro switch 603 is completely closed, the power supply module 601 supplies power to all electronic components of the helmet, and the pressure sensor 5 collects data and sends it to the vehicle;

[0039] S3, the vehicle microcontroller 1202 receives the helmet pressure data and processes and judges by using the Kalman filtering algorithm.

[0040] S4, when the vehicle is running, the pressure sensor 5 and the Hall sensor 7 send the wearing state data to the vehicle at regular intervals, the vehicle microcontroller 1202 continuously monitors, and controls the motor control unit, as well as the state of the vehicle display screen and the danger warning light according to the monitoring result.

[0041] The model of Kalman filtering algorithm is as follows:

[0042] State vector: let the state vector x k =[p1, p2, …, p n ] T , where p i represents the pressure value measured by the i-th pressure sensor (i = 1, 2, …, n, n is the number of pressure sensors), and this vector represents the pressure information of the helmet wearing state.

[0043] State transition matrix: since the helmet wearing pressure state is relatively stable in a short time (between two measurements), the state transition matrix F k is set to the unit matrix I n (n x n dimension), that is, F k = I n .

[0044] It means that the prediction model of the state is x k = I n x k-1 + w k = x k-1 + w k , where w k is the process noise vector.

[0045] Measurement vector and measurement matrix: the measurement vector z k =[z1, z2, …, z n ] T , where z i is the actual pressure value measured by the i-th pressure sensor, corresponding to the state vector x k . The measurement matrix H k is set to the unit matrix I n , that is, z k = I n x k + v k = x k + v k , where v k is the measurement noise vector.

[0046] Initial state estimation: before the first measurement, let the initial state estimation be the initial measurement value of the pressure sensor, that is

[0047] Initial state covariance estimation: Let P0 be the initial state covariance estimation, which is a diagonal matrix where is the initial variance estimated according to the accuracy of the pressure sensor Id' and prior knowledge. For example, if the accuracy of the pressure sensor is ± Δp, the initial value can be set as

[0048] The steps of the Kalman filtering algorithm are as follows:

[0049] Prediction step:

[0050] State estimation prediction: That is, the optimal state estimation at the last time is used as the prediction state estimation at the current time.

[0051] State covariance prediction: Assume that the process noise w k is a zero-mean Gaussian white noise, and its covariance matrix Q k is a diagonal matrix where represents the process noise variance of the i-th state variable (pressure value), which is estimated according to the possible pressure change interference factors (such as slight head movement, etc.) during the helmet wearing process.

[0052] Update step:

[0053] Kalman gain:

[0054] Assume that the measurement noise v k is a zero-mean Gaussian white noise, and its covariance matrix R k is a diagonal matrix where represents the measurement noise variance of the i-th measurement value (measured by the pressure sensor 5), which is determined by the accuracy data manual of the pressure sensor 5.

[0055] State estimation update:

[0056] The difference between the actual measurement value and the prediction state estimation is multiplied by the Kalman gain, and then added to the prediction state estimation to obtain the optimal state estimation at the current time.

[0057] State covariance estimation update: P k|k = (I - K k H k ) P k|k-1 = (I - K k ) P k|k-1 This step updates the uncertainty of the state estimation.

[0058] Determine the helmet wearing state:

[0059] After obtaining the optimal state estimation , check whether the estimated pressure value corresponding to each pressure sensor (element in the matrix P) is within the preset correct wearing pressure range

[0060] If all the are within the corresponding range, it is determined that the helmet is correctly worn; otherwise, it is determined that the helmet is not correctly worn. For example, for the pressure sensor at the top of the head, the correct wearing pressure range may be [10N, 30N], which can be determined according to the design of the helmet and actual test.

[0061] Example 2: After the vehicle is powered on, the second Bluetooth module 1201 of the vehicle terminal starts and enters the discoverable and connectable mode, and the microcontroller 1202 initializes the vehicle vibration sensor 1205 and the near-field induction sensor 1204, prepares to monitor the vehicle state and the helmet proximity, the motor control unit 1203 is in the initial locked state, prohibits the vehicle start and acceleration, and the vehicle display screen displays prompt information such as "waiting for helmet connection".

[0062] In the control assembly 6 of the helmet body 1, the power supply module 601 is in a power-off state, and the micro switch 603 is disconnected. When the user picks up the helmet, if there is a position sensor 605, it starts to work, detects the relative position of the helmet and the vehicle, and when the helmet is close to the vehicle within a certain range, wakes up the first Bluetooth module 604, so that it enters the scanning state and is ready to connect with the vehicle terminal Bluetooth.

[0063] The user wears the helmet on his head, and the thin film pressure sensor 5 on the inner wall of the helmet lining 4 feels the change of pressure. When the pressure reaches the preset threshold (such as 1-5N), the pressure sensor 5 sends a signal to the micro switch 603, so that the micro switch 603 is partially closed, and the power supply module 601 provides pre-power for the first Bluetooth module 604. The first Bluetooth module 604 starts to quickly scan the signal sent by the second Bluetooth module 1201 of the vehicle terminal, and tries to establish a connection.

[0064] During the connection process, both sides perform identity verification and connection parameter negotiation, use a simplified encryption algorithm and a verification mechanism to ensure fast and secure connection, and reduce data transmission volume; after successful connection, the helmet and the vehicle establish a preliminary communication link, and at this time the vehicle display screen can display "helmet connected, detecting wearing state".

[0065] ​​Then, the user tightens the strap assembly 2, inserts the plug 302 into the inner groove 301a of the fixing seat 301, and the clamping part 304 on the plug rod 303 is clamped with the limiting groove 305, at the same time, the plug 302 pushes the limiting plate 9 to compress the limiting spring 8, so that the magnetic block 10 is close to the Hall sensor 7, the Hall sensor 7 senses the change of the magnetic field, sends a signal to the micro switch 603, the micro switch 603 is completely closed, and the power supply module 601 provides normal working voltage for all electronic elements (including the pressure sensor 5, the first Bluetooth module, etc.) on the helmet. At this time, the pressure sensor 5 starts to collect pressure data at a higher frequency (such as collecting data once every 100 milliseconds), and sends the pressure data to the second Bluetooth module 1201 of the vehicle terminal through the first Bluetooth module 604.

[0066] After the second Bluetooth module 1201 of the vehicle terminal receives the pressure data sent by the helmet, the pressure data is transmitted to the microcontroller 1202; the microcontroller 1202 processes the pressure data by using a data fusion algorithm based on Kalman filtering, removes noise interference, and accurately judges the wearing state of the helmet; if the pressure values of all pressure sensors are within the preset correct wearing pressure range, the microcontroller 1202 determines that the helmet has been correctly worn, sends a control signal allowing starting and acceleration to the motor control unit 1203, and displays prompt information "the helmet has been correctly worn, wish you a safe trip" on the vehicle display screen.

[0067] During the driving of the vehicle, the pressure sensor 5 and the Hall sensor 7 of the helmet continue to work, and send the wearing state data to the vehicle terminal once every certain time, such as 5 seconds. The microcontroller 1202 of the vehicle terminal continuously monitors these data. If the vehicle vibration sensor 1205 detects that the vehicle is in a driving state, and the microcontroller 1202 finds that the wearing state of the helmet changes abnormally (such as the pressure value suddenly disappears or is lower than the threshold value, the Hall sensor signal is lost, etc.), it is immediately determined that the helmet may be taken off or the wearing is loose. The microcontroller 1202 sends a control signal to the motor control unit 1203 to limit acceleration and gradually decelerate, and sends a warning message "the wearing of the helmet is abnormal, please check the vehicle" on the vehicle display screen, and starts the flashing of the danger warning light of the vehicle. When the vehicle speed is reduced to a certain degree (for example, 10 kilometers / hour), the vehicle automatically switches to neutral and keeps the engine idling, waiting for the wearing state of the helmet to return to normal or the vehicle to completely stop.

[0068] If the communication between the first Bluetooth module 604 and the second Bluetooth module 1201 is interrupted during the helmet wearing detection or use, both sides immediately start the reconnection procedure. The first Bluetooth module 604 at the helmet end reenters the scanning mode, and the second Bluetooth module 1201 at the vehicle end remains in the discoverable mode, while the number of attempts and the time interval for reconnection are adjusted according to the preset adaptive retransmission mechanism. For example, for the first connection interruption, the reconnection is attempted 3 times within 10 seconds, with an interval of 3 seconds each time; if multiple reconnections fail, the vehicle display screen displays a prompt message "helmet connection abnormal, please check the helmet and vehicle Bluetooth settings", and the vehicle keeps the lock state of the motor control unit 1203, prohibiting starting and acceleration, until the Bluetooth connection returns to normal.

[0069] If the near-field induction sensor 1204 detects that the helmet is more than a certain safe distance (such as 2-3 meters) away from the vehicle during vehicle driving, it may indicate that the helmet has been accidentally dropped, and the vehicle-side microcontroller 1202 will also take control measures to limit acceleration and gradually decelerate, and issue corresponding warning information to ensure riding safety.

[0070] Through intelligent sensing between the helmet and the vehicle, the wearing state of the helmet can be monitored in real time, rather than being checked only after the fact as in traditional ways; for example, before the vehicle starts, it can immediately determine whether the helmet is correctly worn, and if not, the vehicle will directly prohibit starting, achieving active intervention and effectively preventing the driver from driving on the road without correctly wearing the helmet, greatly improving the front-end protection capability of road safety.

[0071] Using thin-film pressure sensors and Hall sensors 7, and Kalman filtering algorithm to process data, the wearing state of the helmet can be accurately determined, reducing false positives. Compared with traditional manual supervision, it is not affected by subjective factors such as visual fatigue and observation angle of traffic police, and unlike some traffic violation supervision equipment, it is not affected by environmental factors such as weather and light, greatly improving the reliability and accuracy of helmet wearing monitoring.

[0072] During vehicle driving, the sensors of the helmet continuously send wearing state data to the vehicle, which can monitor the dynamic changes of helmet wearing in real time; once the helmet wearing is detected to be abnormal, such as being removed or loosened during driving, the vehicle will immediately take measures to limit acceleration and gradually decelerate, and issue warning information to remind the driver to correct it in time, which is a real-time dynamic response that traditional supervision methods cannot achieve, effectively reducing the risk of serious consequences caused by incorrect helmet wearing in the event of an accident.

[0073] The intelligent connection and automatic monitoring device based on the vehicle and the helmet do not need a large number of traffic police to manually check at each intersection, are not limited by the fixed position and monitoring range of the traffic violation supervision equipment, can supervise each motorcycle and electric vehicle equipped with the system in all directions and all time periods, greatly expand the supervision range, meanwhile, the human cost and law enforcement difficulty of the traffic management department are reduced, and the overall traffic management efficiency is improved.

[0074] The embodiments of the utility model are given for example and description, although the embodiments of the utility model have been shown and described above, it can be understood that the above-mentioned embodiments are exemplary, and cannot be understood as the limitation of the utility model, and the ordinary skilled person in the art can change, modify, replace and transform the above-mentioned embodiments within the scope of the utility model.

Claims

1. A cycling safety control device for detecting whether a user is wearing a helmet, characterized in that, include: Helmet body (1), a control component (6) is installed on the shell of the helmet body (1), and a strap component (2) is installed on the bottom of the helmet body (1); The vehicle-mounted component (12) includes a second Bluetooth module (1201), a microcontroller (1202), and a motor control unit (1203) installed in the vehicle, as well as a near-field sensing sensor (1204) and a vehicle vibration sensor (1205). The control component (6) includes a power supply module (601), a control board (602), a micro switch (603), a first Bluetooth module (604), a position sensor (605), a Hall sensor (7), and a pressure sensor (5); the Hall sensor (7) is installed in the strap assembly (2), the first Bluetooth module (604) is paired with the second Bluetooth module (1201), and the Hall sensor (7) and the pressure sensor (5) are both electrically connected to the micro switch (603).

2. The cycling safety control device for detecting whether a user is wearing a helmet as described in claim 1, characterized in that: The helmet body (1) is provided with an inner liner (4), and a pressure sensor (5) is installed on the inner wall of the inner liner (4). The pressure sensor (5) is a thin-film pressure sensor.

3. The cycling safety control device for detecting whether a user is wearing a helmet as described in claim 2, characterized in that: The strap assembly (2) includes a first strap (201) and a second strap (202) connected to the two side walls of the helmet body (1). A buckle assembly (3) is installed between the first strap (201) and the second strap (202). The buckle assembly (3) includes a fixing seat (301) and a buckle (302). One end of the first strap (201) is connected to the fixing seat (301), and one end of the second strap (202) is connected to the buckle (302). The side wall of the fixing seat (301) is provided with an inner groove (301a). Both sides of the inner groove (301a) are provided with limiting grooves (305). A center rod (306) and two sets of insert rods (303) are fixedly connected to the end face of the buckle (302). A locking part (304) is fixedly connected to the side wall of the insert rod (303). The locking part (304) engages with the limiting groove (305).

4. The cycling safety control device for detecting whether a user is wearing a helmet as described in claim 3, characterized in that: A Hall sensor (7) is installed on the inner wall of the inner groove (301a), and a limit spring (8) is also connected to the inner wall of the inner groove (301a). One end of the limit spring (8) is connected to a limit plate (9), and a magnetic block (10) is installed on the side wall of the limit plate (9). The position of the magnetic block (10) corresponds to that of the Hall sensor (7).

5. The cycling safety control device for detecting whether a user is wearing a helmet as described in claim 4, characterized in that: A limiting part (11) is fixed on the inner wall of the inner groove (301a), and the position of the limiting plate (9) corresponds to the limiting part (11).

6. The cycling safety control device for detecting whether a user is wearing a helmet as described in claim 1, characterized in that: The vehicle-mounted component (12) also includes a near-field sensing sensor (1204) and a vehicle vibration sensor (1205).

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