Portable anti-sleepiness safety helmet based on brain wave signal control

By installing a brain wave sensor and controller on the inside of the safety helmet, the driver's brain wave signal is judged to prevent sleepiness, and the problem of misjudgment in harsh environments in the existing technology is solved, and accurate sleepy state detection and alarm functions are achieved.

CN222510209UActive Publication Date: 2025-02-21CHINA NUCLEAR IND HUAXING CONSTR
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Patent Information

Application Number
CN202421227744.2
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-05-31
Publication Date
2025-02-21
Estimated Expiration
2034-05-31

AI Technical Summary

Technical Problem

The devices used in the construction site environment for preventing sleepiness are easily affected by factors such as dust and rain, resulting in misjudgment or unrecognition, and the driver may block the detection device when wearing a safety helmet, causing misjudgment.

Method used

A portable anti-sleeping safety helmet based on brain wave signal control is designed. By installing a brain wave sensor and a brain wave controller on the inside of the safety helmet, the driver's brain wave signal is collected and processed, and whether it is in a sleepy state is judged, and through The voice reminder module issues an alarm.

Benefits of technology

The device can accurately determine whether the driver is in a sleepy state in a harsh environment, avoid misjudgment, and does not occupy the space inside the vehicle, and is suitable for construction site environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model relates to the technical field of safety helmets, in particular to a portable anti-sleepiness safety helmet based on brain wave signal control, which comprises a safety helmet body and an anti-sleepiness reminding device, the anti-sleepiness reminding device is arranged on the inner side of the safety helmet body, and the anti-sleepiness reminding device comprises a brain wave sensor and a brain wave controller, the brain wave sensor is in contact with the head of a driver and used for collecting brain wave signals of the driver, the signal output end of the brain wave sensor is connected with the signal input end of the brain wave controller, and the brain wave controller comprises a brain wave central processing unit and a voice reminding module. The brain wave central processing unit processes brain wave signals output by the brain wave sensor, when the concentration degree index of the driver is lower than a set lower limit value and the relaxation degree index is higher than a set upper limit value, it is judged that the driver is in a sleepy state, and at the moment, the voice reminding module gives out a voice alarm for reminding. The utility model provides a safety helmet capable of preventing a driver from dozing.
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Description

Technical Field

[0001] The utility model relates to the technical field of safety helmets, in particular to a portable anti-drowsiness safety helmet based on brain wave signal control. Background Art

[0002] The fast pace of modern society has made construction sites need to work overtime constantly, so the working hours of crane drivers often exceed the normal working hours. Such long working hours and fatigue driving pose a huge hidden danger to the safety of construction workers. According to statistics, among the various causes of accidents on construction sites, accidents caused by driver inattention or drowsiness due to driving fatigue are very common.

[0003] There are many portable driver anti-drowsiness and reminder devices available, but they all have some problems:

[0004] 1. Driver AI intelligent system can monitor the driver's driving behavior in real time and judge the driver's real-time status. The core technology is image recognition technology, which has high technical requirements and delays;

[0005] 2. The facial recognition anti-drowsiness system uses camera images to analyze the condition of the eyes and the number of blinks to determine whether the driver is drowsy. The technology is relatively complex and has not been promoted;

[0006] 3. Use infrared light sensors to detect the movement state of human eyes and the driver's tilt angle to determine whether the driver is drowsy. Under complex working conditions at construction sites, the anti-drowsiness device often makes misjudgments.

[0007] The above technologies all add additional devices to the vehicle, which have the following problems: First, during construction at a construction site, drivers are required to wear safety helmets, which can easily block the anti-drowsiness device from recognizing faces and cause misjudgment; second, the construction site environment is relatively harsh, such as dust, rain, etc., which can easily cover the detection device, causing the anti-drowsiness device to misjudge or even fail to recognize. Utility Model Content

[0008] The purpose of the utility model is to provide a portable anti-drowsiness helmet based on brain wave signal control to solve the technical problems existing in the above-mentioned background technology.

[0009] To achieve the above purpose, the technical solution of the utility model is as follows:

[0010] A portable anti-drowsiness helmet based on brain wave signal control comprises: a helmet body and an anti-drowsiness reminder device, wherein the anti-drowsiness reminder device is installed inside the helmet body, the anti-drowsiness reminder device comprises: a brain wave sensor and a brain wave controller, the brain wave sensor contacts the driver's head for collecting the driver's brain wave signal, the signal output end of the brain wave sensor is connected to the signal input end of the brain wave controller, the brain wave controller comprises: a brain wave central processing unit and a voice reminder module, the brain wave central processing unit processes the brain wave signal output by the brain wave sensor, and when the driver's concentration index is lower than a set lower limit and the relaxation index is higher than a set upper limit, it is judged that the driver has entered a drowsy state, and at this time, the voice reminder module issues a voice alarm reminder.

[0011] Furthermore, the helmet body comprises: a helmet shell, a helmet lining and a chin strap, wherein the helmet lining is fixedly installed inside the helmet shell and matches the driver's head, and the chin strap is detachably fixedly connected to the helmet shell or the helmet lining.

[0012] Furthermore, the anti-drowsiness reminder device is fixedly mounted on the cap lining.

[0013] Furthermore, there are three brain wave sensors, which are respectively installed on the inner side of the cap lining at a position corresponding to the occipital part of the brain, a position corresponding to the frontal area of ​​the brain, and a position corresponding to the occipital lobe of the brain.

[0014] Furthermore, the brain wave signal collected by the brain wave sensor is the frequency of the brain wave.

[0015] Furthermore, the brainwave controller also includes: a filter amplification unit, an A / D converter, a relay circuit and a GSM module. The brainwave sensor, filter amplification unit, A / D converter and brainwave central processor are electrically connected in sequence, and the brainwave central processor is electrically connected to the voice reminder module and the GSM module respectively through the relay circuit.

[0016] Furthermore, the filtering and amplifying unit includes: a pre-differential amplifier circuit, a notch filter, a voltage amplifier circuit, a low-pass filter and a linear coupling circuit, and the pre-differential amplifier circuit, the notch filter, the voltage amplifier circuit, the low-pass filter and the linear coupling circuit are electrically connected in sequence.

[0017] Furthermore, the brain wave central processor includes: a DSP processor, and the DSP processor adopts a low-power chip, specifically including a TMS320C5000 series chip.

[0018] Furthermore, it also includes: a power module, which is embedded in the cap shell and is used to provide power for the anti-drowsiness reminder device, and the power module adopts a dry cell battery pack.

[0019] Compared with the prior art, the beneficial effects of the utility model are:

[0020] 1. The brain wave sensors distributed in the occipital area, frontal area and occipital lobe of the brain collect the frequency of the driver's brain waves. According to the frequency band, it can determine whether the crane driver is about to fall asleep and automatically start the voice alarm device to wake the driver up and avoid accidents. The low-power TMS320C5000 DSP chip is used to filter and amplify the brain waves through the pre-differential amplifier circuit, notch filter, voltage amplifier circuit, low-pass filter and linear coupling circuit, making the brain wave signal collection and processing more accurate.

[0021] 2. The anti-drowsiness reminder device is directly installed on the driver's helmet. The detection accuracy is not affected by the construction site environment and does not require additional space in the car.

[0022] 3. The power module directly uses dry battery pack, which is easy to install and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a structural schematic diagram of the utility model;

[0024] Figure 2 It is the working principle diagram of the utility model;

[0025] Figure 3 It is a circuit block diagram of the filtering method unit in the utility model.

[0026] The numbers in the accompanying drawings are: 1-safety helmet body; 11-hat shell; 12-hat lining; 13-chin strap; 2-anti-drowsiness reminder device; 21-brain wave sensor; 22-brain wave controller; 221-filter amplification unit; 222-A / D converter; 223-brain wave central processing unit; 224-relay circuit; 225-voice reminder module; 226-GSM module; 3-power supply module. DETAILED DESCRIPTION

[0027] The utility model is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0028] See also Figures 1 to 3As shown, a portable anti-drowsiness helmet based on brain wave signal control includes: a helmet body 1 and an anti-drowsiness reminder device 2, the anti-drowsiness reminder device 2 is installed on the inner side of the helmet body 1, and the anti-drowsiness reminder device 2 includes: a brain wave sensor 21 and a brain wave controller 22, the brain wave sensor 21 is in contact with the driver's head to collect the driver's brain wave signal, and the brain wave signal collected by the brain wave sensor 21 is the frequency of the brain wave; the signal output end of the brain wave sensor 21 is connected to the signal input end of the brain wave controller 22, and the brain wave controller 22 is connected to the driver's head. 22 includes: a brain wave central processor 223 and a voice reminder module 225. The brain wave central processor 223 includes: a DSP processor. The DSP processor adopts a low-power chip, specifically including a TMS320C5000 series chip; the brain wave central processor 223 processes the brain wave signal output by the brain wave sensor 21. When the driver's concentration index is lower than the set lower limit and the relaxation index is higher than the set upper limit, it is determined that the driver has entered a drowsy state. At this time, the voice reminder module 225 issues a voice alarm reminder.

[0029] In this embodiment, the helmet body 1 includes: a helmet shell 11, a helmet lining 12 and a chin strap 13. The helmet lining 12 is fixedly installed inside the helmet shell 11 and matches the driver's head. The chin strap 13 is detachably fixedly connected to the helmet shell 11 or the helmet lining 12. When the anti-drowsiness reminder device is not needed, it can be used as an ordinary helmet.

[0030] In this embodiment, the anti-drowsiness reminder device 2 is fixedly mounted on the cap lining 12; three brain wave sensors 21 are provided, and the three brain wave sensors 21 are respectively mounted on the inner side of the cap lining 12 corresponding to the occipital part of the brain, the frontal area of ​​the brain, and the occipital lobe of the brain.

[0031] In this embodiment, the brainwave controller 22 also includes: a filter amplification unit 221, an A / D converter 222, a relay circuit 224 and a GSM module 226. The brainwave sensor 21, the filter amplification unit 221, the A / D converter 222 and the brainwave central processor 223 are electrically connected in sequence, and the brainwave central processor 223 is electrically connected to the voice reminder module 225 and the GSM module 226 through the relay circuit 224.

[0032] The filtering and amplifying unit 221 includes: a pre-differential amplifier circuit, a notch filter, a voltage amplifier circuit, a low-pass filter and a linear coupling circuit. The pre-differential amplifier circuit, the notch filter, the voltage amplifier circuit, the low-pass filter and the linear coupling circuit are electrically connected in sequence to filter and amplify the brain waves, so that the brain wave signal collection and processing is more accurate.

[0033] In this embodiment, the portable anti-drowsiness helmet controlled based on brain wave signals also includes: a power module 3, which is embedded in the helmet shell 11 and is used to provide power for the anti-drowsiness reminder device 2. The power module 3 uses a dry battery pack, which saves cost and hardly increases weight.

[0034] Working principle: When the crane driver wears a safety helmet, the anti-drowsiness reminder device 2 collects the frequency of brain waves through the brain wave sensors 21 distributed in the occipital area, frontal area and occipital lobe of the brain. When the driver's concentration index is lower than the set lower limit and the relaxation index is higher than the set upper limit, it can be judged that the driver has entered a drowsy state, and the relay circuit 224 automatically works to control the voice reminder module 225 to issue a voice alarm reminder to wake up the driver and avoid accidents; the brain waves are filtered and amplified by the pre-differential amplifier circuit, trap filter, voltage amplifier circuit, low-pass filter and linear coupling circuit, so that the brain wave signal collection and processing is more accurate.

[0035] In the description of the present invention, it should be noted that the terms "upper", "lower", "left", "right", "inside", "outside", "top / bottom" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.

[0036] The above description is only a preferred embodiment of the utility model and does not constitute any form of limitation to the utility model. Any technician familiar with the profession, without departing from the scope of the technical solution of the utility model and based on the technical essence of the utility model, any simple modification, equivalent replacement and improvement made to the above embodiment shall still fall within the scope of protection of the technical solution of the utility model.

Claims

1. A portable anti-drowsiness helmet based on brain wave signal control, characterized in that: include: A safety helmet body (1) and an anti-drowsiness reminder device (2), wherein the anti-drowsiness reminder device (2) is mounted on the inner side of the safety helmet body (1), and the anti-drowsiness reminder device (2) comprises: a brain wave sensor (21) and a brain wave controller (22), wherein the brain wave sensor (21) contacts the driver's head and is used to collect the driver's brain wave signals, wherein the signal output end of the brain wave sensor (21) is connected to the signal input end of the brain wave controller (22), and the brain wave controller (22) comprises: a brain wave central processing unit (223) and a voice reminder module (225), wherein the brain wave central processing unit (223) processes the brain wave signals output by the brain wave sensor (21), and when the driver's concentration index is lower than a set lower limit value and the relaxation index is higher than a set upper limit value, it is determined that the driver has entered a drowsy state, and at this time, the voice reminder module (225) issues a voice alarm reminder.

2. The portable anti-drowsiness helmet based on brain wave signal control according to claim 1, characterized in that: The safety helmet body (1) comprises: a helmet shell (11), a helmet lining (12) and a chin strap (13); the helmet lining (12) is fixedly mounted inside the helmet shell (11) and matches the driver's head; the chin strap (13) is detachably fixedly connected to the helmet shell (11) or the helmet lining (12).

3. The portable anti-drowsiness helmet based on brain wave signal control according to claim 2, characterized in that: The anti-drowsiness reminder device (2) is fixedly mounted on the cap lining (12).

4. The portable anti-drowsiness helmet based on brain wave signal control according to claim 3, characterized in that: The three brain wave sensors (21) are provided, and the three brain wave sensors (21) are respectively installed on the inner side of the cap lining (12) at a position corresponding to the occipital part of the brain, a position corresponding to the frontal area of ​​the brain, and a position corresponding to the occipital lobe of the brain.

5. The portable anti-drowsiness helmet based on brain wave signal control according to claim 4, characterized in that: The brain wave signal collected by the brain wave sensor (21) is the frequency of the brain wave.

6. The portable anti-drowsiness helmet based on brain wave signal control according to claim 5, characterized in that: The brain wave controller (22) further comprises: a filter amplification unit (221), an A / D converter (222), a relay circuit (224) and a GSM module (226); the brain wave sensor (21), the filter amplification unit (221), the A / D converter (222) and the brain wave central processor (223) are electrically connected in sequence; and the brain wave central processor (223) is electrically connected to the voice reminder module (225) and the GSM module (226) respectively through the relay circuit (224).

7. The portable anti-drowsiness helmet based on brain wave signal control according to claim 6, characterized in that: The filtering and amplifying unit (221) comprises: a pre-differential amplifier circuit, a notch filter, a voltage amplifier circuit, a low-pass filter and a linear coupling circuit, and the pre-differential amplifier circuit, the notch filter, the voltage amplifier circuit, the low-pass filter and the linear coupling circuit are electrically connected in sequence.

8. The portable anti-drowsiness helmet based on brain wave signal control according to claim 1, characterized in that: The brain wave central processor (223) comprises: a DSP processor, and the DSP processor adopts a low-power consumption chip, specifically comprising a TMS320C5000 series chip.

9. The portable anti-drowsiness helmet based on brain wave signal control according to claim 2, characterized in that: Also includes: A power module (3) is embedded in the cap shell (11) and is used to provide power for the anti-drowsiness reminder device (2). The power module (3) uses a dry cell battery pack.