CN111700334A - Safety helmet wearing detection device based on electroencephalogram - Google Patents
Safety helmet wearing detection device based on electroencephalogram Download PDFInfo
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- CN111700334A CN111700334A CN202010548916.6A CN202010548916A CN111700334A CN 111700334 A CN111700334 A CN 111700334A CN 202010548916 A CN202010548916 A CN 202010548916A CN 111700334 A CN111700334 A CN 111700334A
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- electroencephalogram
- safety helmet
- electrode
- detection device
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
- A42B3/0466—Means for detecting that the user is wearing a helmet
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/30—Mounting radio sets or communication systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
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- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- Helmets And Other Head Coverings (AREA)
Abstract
The embodiment of the invention discloses a safety helmet wearing detection device based on electroencephalogram, which comprises an electroencephalogram acquisition electrode, a detection processor and a communication module, wherein the electroencephalogram acquisition electrode, the detection processor and the communication module are arranged on a safety helmet, whether the safety helmet is worn or not is detected in an electroencephalogram signal acquisition mode, the situation that a practitioner avoids supervision can be effectively avoided, a wearing state detection result can be sent to a mobile terminal or a management background for statistics and recording, good safety habits can be gradually established for the practitioner through stage assessment, and risks of the individual practitioner and an operating enterprise are reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of helmet wearing safety detection, in particular to a safety helmet wearing detection device based on electroencephalogram.
Background
With the rapid development of logistics and takeaway industries, practitioners reach millions, but many practitioners have low safety awareness, do not like wearing safety helmets, and want various methods to avoid supervision, so that when safety accidents occur, the probability of serious risks is increased, and great loss is brought to individuals and operation enterprises. The existing methods for detecting whether the safety helmet is worn are as follows: (1) the detection is carried out in the mode of an infrared transmitting light pipe and an infrared receiving light pipe, but the cheating is easy to happen by pasting a light shading object; (2) the detection is carried out by a photosensitive tube mode, the cost is lower, but cheating is easy to happen by pasting a light shading object; (3) the method is characterized in that the detection is carried out by a pressure sensor, but the adhesive tape is pasted after a certain pressure is applied, so that the method is easy to cheat; (4) the method is easy to cheat by detecting in a mode of infrared transmitting and receiving light pipes and additionally arranging a three-axis sensor, and hanging a safety helmet on an electric vehicle or a motorcycle at a certain angle by sticking a light shield; (5) the method is easy to cheat by detecting in a mode of adding a three-axis sensor to a photosensitive tube, sticking a light shield and hanging a safety helmet on an electric vehicle or a motorcycle at a certain angle; (6) the method is easy to cheat by detecting through a pressure sensor and a three-axis sensor, sticking an adhesive tape after applying certain pressure and hanging the safety helmet on the electric vehicle or the motorcycle at a certain angle.
Disclosure of Invention
Therefore, the embodiment of the invention provides a safety helmet wearing detection device based on electroencephalogram, and aims to solve the problem that the existing mode for detecting whether a safety helmet is worn is easy to cheat and evade supervision, so that the safety risk is high.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: a safety helmet wearing detection device based on electroencephalogram comprises an electroencephalogram acquisition electrode, a detection processor and a communication module, wherein the electroencephalogram acquisition electrode is arranged on one side, facing the head, of a safety helmet and comprises a positive electrode, a negative electrode and a reference electrode, the positive electrode, the negative electrode and the reference electrode are used for contacting with the skull epidermis of a person to acquire biological electroencephalogram signals, the positive electrode, the negative electrode and the reference electrode are all connected with the detection processor, the detection processor is used for detecting whether the safety helmet is worn or not according to the acquired electroencephalogram signals, and the detection processor is connected with a mobile terminal or a management background through the communication module so as to upload obtained detection results to the mobile terminal or the management background for statistics and recording.
Furthermore, the safety helmet comprises a cap body worn on the head of a human body and a brim connected with the cap body, and the electroencephalogram acquisition electrode is fixed on one side, facing the forehead, of the inner side of the cap body.
Further, the electroencephalogram collecting electrode is fixed on the inner side of the cap body through a flexible FPC.
Further, the flexible FPC is fixed on the inner side of the cap body through a magic tape.
Further, the inner side of the cap body is provided with a lining, and the flexible FPC is fixed on the lining.
Further, the detection processor employs an Arm Cortex series micro detection processor or other embedded detection processor.
Further, the communication module comprises a Bluetooth module, an NB-IoT module or a GPRS module.
Furthermore, a three-axis, six-axis or nine-axis sensor is also arranged on the safety helmet.
Furthermore, the electroencephalogram acquisition electrode is made of copper gold plating, conductive rubber or conductive plastic.
The embodiment of the invention has the following advantages:
the safety helmet wearing detection device based on the electroencephalogram comprises an electroencephalogram acquisition electrode, a detection processor and a communication module which are arranged on a safety helmet, whether the safety helmet is worn or not is detected in an electroencephalogram signal acquisition mode, a worker can be effectively prevented from evading supervision, a wearing state detection result can be sent to a mobile terminal or a management background for statistics and recording, good safety habits can be gradually built for the worker through stage check, and risks of the individual worker and an operation enterprise are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
Fig. 1 is a schematic structural diagram of a safety helmet wearing detection device based on electroencephalogram according to embodiment 1 of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The embodiment provides a safety helmet wearing detection device based on electroencephalogram, and as shown in fig. 1, the device includes an electroencephalogram acquisition electrode 100, a detection processor 200 and a communication module 300, which are arranged on a safety helmet.
The electroencephalogram acquisition electrode 100 is arranged on one side, facing the head, of the safety helmet, specifically, the safety helmet comprises a cap body 400 worn on the head of a human body and a brim 500 connected with the cap body 400, the electroencephalogram acquisition electrode 100 is fixed on one side, facing the forehead, of the inner side of the cap body 400, the electroencephalogram acquisition electrode 100 is fixed on the inner side of the cap body 400 through a flexible FPC600, the flexible FPC600 is fixed on the inner side of the cap body 400 through a magic tape 700, further, the inner side of the cap body 400 is provided with a lining 800, and the flexible FPC600 is fixed on the. The electroencephalogram acquisition electrode 100 can be made of copper gold plating, conductive rubber or conductive plastic.
The electroencephalogram acquisition electrode 100 comprises a positive electrode 110, a negative electrode 120 and a reference electrode 130 which are used for contacting with the epidermis of the human head to acquire biological electroencephalogram signals, the positive electrode 110, the negative electrode 120 and the reference electrode 130 are all connected with a detection processor 200, and the detection processor 200 is used for detecting whether a safety helmet is worn or not according to the acquired electroencephalogram signals. The detection processor 200 employs an ArmCortex series micro-detection processor 200 or other embedded detection processor 200.
In the embodiment, the electroencephalogram acquisition is a high-impedance circuit, energy is not output to the outside, energy is not absorbed from a human body, no radiation is generated to the human body, and the electroencephalogram acquisition device can be worn for a long time. The electroencephalogram signals enter the electroencephalogram signal acquisition circuit through the protection circuit, and the software algorithm of the detection processor 200 can judge whether the safety helmet is worn or not by analyzing the electroencephalogram signals.
The detection processor 200 is connected to the mobile terminal or the management background through the communication module 300, so as to upload the obtained detection result to the mobile terminal or the management background for statistics and recording. If the practitioner is in the order receiving state but does not wear the safety helmet, the background can carry out information statistics, and the practitioner can gradually establish good safety habits through stage assessment.
The communication module 300 includes a bluetooth module, an NB-IoT module, or a GPRS module, which may be selected according to an application scenario. If the Bluetooth module is matched with a mobile phone, the Bluetooth module can be selected, and if the Bluetooth module is directly connected with a management background, a proper module is selected according to the mobile communication coverage conditions of local NB-IoT and GPRS. In order to improve the standby time, the NB-IoT module and the GPRS module may be powered on and transmitted only once when the state changes, and are in a power-off state at ordinary times.
Optionally, a three-axis, six-axis or nine-axis sensor may also be provided on the safety helmet. In order to increase compatibility and adaptability, a three-axis, six-axis or nine-axis acceleration sensor can be added as auxiliary judgment information.
The safety helmet wearing detection device based on the electroencephalogram provided by the embodiment has the advantages that the power consumption is low, the user experience is improved, the safety helmet can be in standby for a long time, whether the safety helmet is worn or not is detected in an electroencephalogram signal acquisition mode, the practitioner can be effectively prevented from avoiding supervision, the wearing state detection result can be sent to the mobile terminal or the management background for statistics and recording, the practitioner can gradually build a good safety habit through stage assessment, and the risks of the individual practitioner and the operation enterprise are reduced.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (9)
1. The electroencephalogram-based safety helmet wearing detection device is characterized by comprising an electroencephalogram acquisition electrode, a detection processor and a communication module, wherein the electroencephalogram acquisition electrode is arranged on the safety helmet and faces one side of the head, the electroencephalogram acquisition electrode comprises a positive electrode, a negative electrode and a reference electrode, the positive electrode, the negative electrode and the reference electrode are used for contacting with the skull epidermis of a person to acquire biological electroencephalogram signals, the positive electrode, the negative electrode and the reference electrode are all connected with the detection processor, the detection processor is used for detecting whether the safety helmet is worn or not according to the acquired electroencephalogram signals, and the detection processor is connected with a mobile terminal or a management background through the communication module so as to upload obtained detection results to the mobile terminal or the management background for statistics and recording.
2. The electroencephalogram-based detection device worn by a safety helmet according to claim 1, wherein the safety helmet comprises a cap body worn on the head of a human body and a brim connected with the cap body, and the electroencephalogram acquisition electrode is fixed on the side, facing the forehead, of the inner side of the cap body.
3. The electroencephalogram-based detection device worn by a safety helmet according to claim 2, wherein the electroencephalogram acquisition electrode is fixed on the inner side of the cap body through a flexible FPC.
4. The EEG-based safety helmet wearing detection device according to claim 3, wherein said flexible FPC is fixed inside said cap body by means of a hook and loop fastener.
5. The electroencephalogram-based detection device for wearing of safety helmets according to claim 3, wherein a lining is arranged on the inner side of the cap body, and the flexible FPC is fixed on the lining.
6. The electroencephalogram-based safety helmet wearing detection device according to claim 1, wherein the detection processor is an Arm Cortex series micro-detection processor or other embedded detection processor.
7. The electroencephalogram-based detection apparatus for wearing of safety helmets according to claim 1, wherein the communication module comprises a bluetooth module, an NB-IoT module, or a GPRS module.
8. The electroencephalogram-based detection device for wearing of safety helmets according to claim 1, wherein a three-axis, six-axis or nine-axis sensor is further arranged on the safety helmet.
9. The electroencephalogram-based detection device worn by the safety helmet according to claim 1, wherein the electroencephalogram acquisition electrode is made of copper plated with gold, conductive rubber or conductive plastic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010548916.6A CN111700334A (en) | 2020-06-16 | 2020-06-16 | Safety helmet wearing detection device based on electroencephalogram |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010548916.6A CN111700334A (en) | 2020-06-16 | 2020-06-16 | Safety helmet wearing detection device based on electroencephalogram |
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| CN111700334A true CN111700334A (en) | 2020-09-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010548916.6A Pending CN111700334A (en) | 2020-06-16 | 2020-06-16 | Safety helmet wearing detection device based on electroencephalogram |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112735131A (en) * | 2020-12-28 | 2021-04-30 | 杭州拓叭吧科技有限公司 | Driving behavior diagnosis method and device and electronic equipment |
| CN114903245A (en) * | 2022-04-24 | 2022-08-16 | 北京华脑技术发展有限公司 | Multi-parameter-based method for detecting correct wearing of chin strap of safety helmet |
| CN114983080A (en) * | 2022-05-23 | 2022-09-02 | 北京市政建设集团有限责任公司 | Intelligent safety helmet |
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| US20180231404A1 (en) * | 2017-02-13 | 2018-08-16 | Lockheed Martin Corporation | Sensor system |
| CN108601416A (en) * | 2016-02-11 | 2018-09-28 | 哈曼贝克自动系统股份有限公司 | The helmet with automatic emergency processing |
| CN109770898A (en) * | 2019-03-20 | 2019-05-21 | 唐延智 | A kind of safety cap based on brain electricity and NB-IoT |
| CN209732688U (en) * | 2018-08-17 | 2019-12-06 | 深圳长城开发科技股份有限公司 | Crash alarm system for safety helmet and crash alarm safety helmet |
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| CN108601416A (en) * | 2016-02-11 | 2018-09-28 | 哈曼贝克自动系统股份有限公司 | The helmet with automatic emergency processing |
| US20180231404A1 (en) * | 2017-02-13 | 2018-08-16 | Lockheed Martin Corporation | Sensor system |
| CN209732688U (en) * | 2018-08-17 | 2019-12-06 | 深圳长城开发科技股份有限公司 | Crash alarm system for safety helmet and crash alarm safety helmet |
| CN109770898A (en) * | 2019-03-20 | 2019-05-21 | 唐延智 | A kind of safety cap based on brain electricity and NB-IoT |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112735131A (en) * | 2020-12-28 | 2021-04-30 | 杭州拓叭吧科技有限公司 | Driving behavior diagnosis method and device and electronic equipment |
| CN114903245A (en) * | 2022-04-24 | 2022-08-16 | 北京华脑技术发展有限公司 | Multi-parameter-based method for detecting correct wearing of chin strap of safety helmet |
| CN114983080A (en) * | 2022-05-23 | 2022-09-02 | 北京市政建设集团有限责任公司 | Intelligent safety helmet |
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Effective date of registration: 20230419 Address after: Unit 637, 6th Floor, Unit 1, Building 1, Yard 1, Longyu Middle Street, Huilongguan Town, Changping District, Beijing, 100000 Applicant after: Beijing Huanao Technology Development Co.,Ltd. Address before: 1101, gate 1, building 3, yard 29, Qingnian Road, Chaoyang District, Beijing Applicant before: Tang Yanzhi |
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