CN213092484U - Driver body detection and early warning equipment based on internet of things technology - Google Patents
Driver body detection and early warning equipment based on internet of things technology Download PDFInfo
- Publication number
- CN213092484U CN213092484U CN202022218388.6U CN202022218388U CN213092484U CN 213092484 U CN213092484 U CN 213092484U CN 202022218388 U CN202022218388 U CN 202022218388U CN 213092484 U CN213092484 U CN 213092484U
- Authority
- CN
- China
- Prior art keywords
- detection
- internet
- cap
- driver
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Traffic Control Systems (AREA)
- Emergency Alarm Devices (AREA)
- Auxiliary Drives, Propulsion Controls, And Safety Devices (AREA)
Abstract
A driver body detection and early warning device based on the technology of Internet of things belongs to the technical field of truck safety and Internet of things and comprises a seat, wherein a detection cap capable of sliding up and down is arranged on the seat, the inner diameter of the detection cap is adjustable, a brain wave sensor is arranged on the inner layer of the detection cap and connected with a controller, the controller is connected with a voice alarm, and the voice alarm is arranged above and behind a driver; the dead ahead of seat is equipped with the workstation, is equipped with PM2.5 gas detection ware on the work platform, and the top of workstation is equipped with the front windshield spare, is equipped with the camera that detects the driver state on the front windshield spare, and the below of camera is equipped with the C + + detector that blinks that can reciprocate, C + + detector and detection cap phase-match, and C + + detector that blinks, camera and PM2.5 gas detection ware all are connected with audible alarm. Through the setting of detecting cap isotructure, can monitor different height drivers' health, report to the police when the driver appears uncomfortable or visual fatigue and remind.
Description
Technical Field
The utility model relates to a freight train safety and internet of things technical field, concretely relates to driver health detects and early warning equipment based on internet of things.
Background
The Internet of Things (The Internet of Things, IOT for short) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and to realize ubiquitous connection of objects and people through various possible network accesses, so as to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
At present, for a truck for carrying goods in a long distance, the truck is often carried at night, and when a driver drives the truck, the driver needs to concentrate on the situation that the driver watches vehicles and pedestrians on the road surface before seeing the front. Some car owners can feel sore eyes after driving continuously, visual fatigue is easily caused, psychological burden and thought pressure are increased after long-time driving, operation errors are easily caused, driving safety is affected, and traffic accidents are caused. Therefore, need a can monitor equipment of driver health state, in addition, in order to ensure safety, when transporting goods at night, need two at least drivers to drive in turn, driver's height is different, when monitoring its health, needs the change equipment, is unfavorable for practicing thrift the cost.
SUMMERY OF THE UTILITY MODEL
To the above-mentioned shortcoming that prior art exists, the utility model discloses a driver health detects and early warning device based on internet of things can monitor different height drivers' health, reports to the police when the driver appears uncomfortable or visual fatigue and reminds, has ensured the driving safety at night.
In order to realize the purpose, the utility model discloses a technical scheme as follows:
the utility model provides a driver health detects and early warning equipment based on internet of things, includes the seat, be equipped with gliding detection cap from top to bottom on the seat, the internal diameter of detecting the cap is established to adjustable, the inlayer of detecting the cap is equipped with the brain wave sensor, the brain wave sensor is connected with the controller, the controller is connected with audio alert ware, the rear upper portion of driver is located to audio alert ware.
The place ahead of seat is equipped with the workstation, the last PM2.5 gas detection ware that is equipped with of work platform, the top of workstation is equipped with the front windshield spare, be equipped with the camera that detects the driver state on the front windshield spare, the below of camera is equipped with the C + + detector that can reciprocate, C + + detector of blinking with detect the cap phase-match, C + + detector of blinking the camera with PM2.5 gas detection ware all with voice alarm connects.
Preferably, the detection cap comprises a first connecting end and a second connecting end, a fastening piece is arranged between the second connecting end and the first connecting end, the fastening piece comprises a fixing ring, a connecting ring and a limiting pin, the fixing ring is arranged on the first connecting end, the connecting ring is arranged on the second connecting end, a plurality of fixing holes are formed in the second connecting end, and the fixing holes are matched with the limiting pin.
Preferably, the brain wave sensor is a head-mounted brain wave sensor.
Preferably, the voice alarm comprises a voice chip, a wireless module, a single chip microcomputer and a buzzer, and the voice chip, the wireless module and the buzzer are respectively connected with corresponding interfaces of the single chip microcomputer.
Preferably, the inner layer of the detection cap is provided with a group of medicine boxes for containing the refreshing medicine.
Preferably, a plurality of ventilation openings are further formed in the detection cap.
Preferably, the inner wall of the detection cap is provided with an elastic hoop, and the elastic hoop is matched with the brain wave sensor.
The utility model has the advantages of that:
the slidable detection cap, the brain wave sensor, the camera, the C + + blink detector and other structures provided by the utility model can monitor the body conditions of different drivers without replacing equipment, thereby meeting the use requirements of the drivers with different heights and saving the cost; in addition, the alarm can be given when the driver is uncomfortable or tired, and the driving safety at night is ensured.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is the utility model relates to a driver's health detects and early warning device's schematic diagram based on internet of things.
In the figure: the device comprises a seat 1, a slide rail 2, a detection cap 3, a brain wave sensor 4, a controller 5, a voice alarm 6, a PM2.5 gas detector 7, a front windshield 8, a camera 9 and a blink detector 10-C + +.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings.
As shown in fig. 1, the utility model comprises a seat 1, a detecting cap 3 capable of sliding up and down is arranged on the seat 1, so that the position of the detecting cap 3 can be adjusted according to the height of a driver, and after the position is determined, the detecting cap 3 is fixed by a lock catch; a sliding rail 2 is arranged on a backrest of the seat 1, a sliding block is connected to the sliding rail 2 in a sliding manner and is connected with a detection cap 3 so as to slide up and down along the seat 1, a plurality of fixing holes are formed in the sliding rail 2, a fixing block is arranged on one side of the sliding block, and the fixing block can be inserted into the fixing holes to fix the sliding block so as to ensure stable connection; the inner diameter of the detection cap 3 is adjustable, the detection cap 3 comprises a first connecting end and a second connecting end, a fastening piece is arranged between the second connecting end and the first connecting end, the fastening piece comprises a fixing ring, a connecting ring and a limiting pin, the fixing ring is arranged on the first connecting end, the connecting ring is arranged on the second connecting end, a plurality of fixing holes are formed in the second connecting end, and the fixing holes are matched with the limiting pin; the inner diameter of the detection cap 3 can be easily adjusted to adapt to the head circumference of different drivers. The inner layer of the detection cap 3 is provided with a group of medicine boxes for containing refreshing medicines, wherein the medicines can be selected from tea, borneol, camphor, mint and the like. The detection cap 3 is also provided with a plurality of ventilation ports so that the taste of the refreshing medicine can be distributed, and the refreshing effect is achieved. The inner wall of the detection cap 3 is provided with an elastic hoop which is matched with the brain wave sensor 4, so that the stability of the brain wave sensor 4 can be ensured.
The inner layer of the detection cap 3 is provided with a brain wave sensor 4, and the brain wave sensor 4 is a head-mounted brain wave sensor 4 to ensure that the brain beta wave frequency information of the driver is tested smoothly. The brain wave sensor 4 is a device which changes the beta wave frequency information of the brain of a driver according to the change of the mental state of the person, and when the frequency is lower than 13HZ, the driver is considered to be in a fatigue state, can give an early warning to the driver whether the driver is in fatigue driving or not in time, and triggers an alarm to remind the driver to keep the optimal mental state, wherein the beta wave is one of four basic brain waves of the person, namely the brain wave with the frequency of 13-40 Hz/s; when eyes are closed and calm, alpha wave appears, but visual stimulation is carried out, and the alpha wave can be changed into beta wave with small amplitude; beta waves appear while awake and can achieve concentration. The brain wave sensor 4 is connected with a controller 5, the controller 5 is connected with a voice alarm 6, the voice alarm 6 comprises a voice chip, a wireless module, a single chip microcomputer and a buzzer, and the voice chip, the wireless module and the buzzer are respectively connected with corresponding interfaces of the single chip microcomputer so as to ensure that the alarm is timely; the voice alarm 6 is arranged at the rear upper part of the driver so as to be convenient for reminding through the voice alarm 6 when detecting the change of the beta wave frequency information.
A workbench is arranged right in front of the seat 1, and a PM2.5 gas detector 7 is arranged on the workbench so as to detect whether gas in the vehicle is normal or not, if smoke in the vehicle generates harmful substances, the gas can be automatically exhausted if the smoke in the vehicle exceeds a normal range, and a good driving environment is provided for a driver; meanwhile, the detector replaces a traditional smoke sensor, the detection sensitivity is effectively improved, the application range is wider, the comfort level of a driver is guaranteed, and the fatigue state of the driver is relieved.
A front wind shielding part 8 is arranged above the workbench, a camera 9 for detecting the state of a driver is arranged on the front wind shielding part 8 and is used for detecting the state of the driver in real time, and an alarm is given in time if the body state is distinguished from the normal state; a C + + blink detector 10 capable of moving up and down is arranged below the camera 9, the C + + blink detector 10 is programmed by a C + + program, and the attention concentration degree of a driver is calculated in real time from data analysis such as face orientation, position, pupil orientation, eye opening degree, blink frequency, pupil contraction rate and the like, so that whether the driver is tired or not is analyzed, and a safety prompt is made in time; the C + + blink detector 10 is matched to the detection cap 3 to facilitate clear eye detection; the C + + blink detector 10, the camera 9 and the PM2.5 gas detector 7 are all connected with the voice alarm 6; so as to ensure that voice prompt is carried out when eye change, body state change and gas change in the cab are detected.
When driving at night, firstly adjusting the positions of the detection cap 3 and the C + + blink detector 10 according to the height of a driver; then, starting the brain wave sensor 4, the camera 9 and the C + + blink detector 10; when the vehicle is driven, the brain wave sensor 4 is used for detecting beta waves, and early warning is carried out when a driver is tired according to the beta wave frequency information of the brain of the vehicle owner received by the controller 5; the PM2.5 gas detector 7 is used for receiving information for detecting whether gas in the vehicle is normal or not and transmitting the information to the controller 5, and the information is transmitted to the voice alarm 6 when the gas value in the vehicle is abnormal; the C + + blink detector 10 detects the fatigue of the driver based on detecting the frequency of blinking and the size of open eyes of the driver. The brain wave sensor 4, the camera 9 and the C + + blink detector 10 are used for detecting the condition, so that danger of a driver caused by fatigue driving is avoided to a certain extent, and the fatigue of the driver can be relieved by playing relaxing music after early warning.
The foregoing is merely exemplary and illustrative of the structure of the invention, and various modifications, additions and substitutions as described in the detailed description may be made by those skilled in the art without departing from the structure or exceeding the scope of the invention as defined in the claims.
Claims (7)
1. The driver body detection and early warning equipment based on the Internet of things technology comprises a seat and is characterized in that a detection cap capable of sliding up and down is arranged on the seat, the inner diameter of the detection cap is adjustable, a brain wave sensor is arranged on the inner layer of the detection cap, the brain wave sensor is connected with a controller, the controller is connected with a voice alarm, and the voice alarm is arranged above and behind the driver;
the place ahead of seat is equipped with the workstation, be equipped with PM2.5 gas detection ware on the workstation, the top of workstation is equipped with the front windshield spare, be equipped with the camera that detects the driver state on the front windshield spare, the below of camera is equipped with the C + + detector of blinking that can reciprocate, C + + detector of blinking with detect the cap phase-match, C + + detector of blinking the camera with PM2.5 gas detection ware all with voice alarm connects.
2. The Internet of things technology-based driver body detection and early warning device is characterized in that the detection cap comprises a first connecting end and a second connecting end, a fastening piece is arranged between the second connecting end and the first connecting end, the fastening piece comprises a fixing ring, a connecting ring and a limiting pin, the fixing ring is arranged on the first connecting end, the connecting ring is arranged on the second connecting end, a plurality of fixing holes are formed in the second connecting end, and the fixing holes are matched with the limiting pin.
3. The Internet of things technology-based driver body detection and early warning device as claimed in claim 1, wherein the brain wave sensor is a head-mounted brain wave sensor.
4. The driver body detection and early warning device based on the internet of things technology as claimed in claim 1, wherein the voice alarm comprises a voice chip, a wireless module, a single chip microcomputer and a buzzer, and the voice chip, the wireless module and the buzzer are respectively connected with corresponding interfaces of the single chip microcomputer.
5. The Internet of things technology-based driver body detection and early warning device as claimed in claim 1, wherein a group of medicine boxes for containing refreshing brain are arranged on the inner layer of the detection cap.
6. The Internet of things technology-based driver body detection and early warning device as claimed in claim 5, wherein a plurality of ventilation openings are further formed in the detection cap.
7. The Internet of things technology-based driver body detection and early warning device as claimed in claim 1, wherein an elastic hoop is arranged on an inner wall of the detection cap, and the elastic hoop is matched with the brain wave sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022218388.6U CN213092484U (en) | 2020-09-30 | 2020-09-30 | Driver body detection and early warning equipment based on internet of things technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022218388.6U CN213092484U (en) | 2020-09-30 | 2020-09-30 | Driver body detection and early warning equipment based on internet of things technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN213092484U true CN213092484U (en) | 2021-04-30 |
Family
ID=75613791
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202022218388.6U Active CN213092484U (en) | 2020-09-30 | 2020-09-30 | Driver body detection and early warning equipment based on internet of things technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN213092484U (en) |
-
2020
- 2020-09-30 CN CN202022218388.6U patent/CN213092484U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102208125B (en) | Fatigue driving monitoring system and method thereof | |
| CN202619669U (en) | Driver emotion monitoring device | |
| CN205674871U (en) | A kind of driver safety protection system | |
| US20220340079A1 (en) | Fatigue driving monitoring, reminding and early-warning method and system based on computer vision | |
| CN205158585U (en) | Prevention driver fatigue's smart machine and system | |
| CN205469242U (en) | Vehicle safe driving control system | |
| CN102211522A (en) | Unsafe state early-warning device and method for drivers | |
| CN109102904B (en) | Intelligent passenger injury condition monitoring platform and method based on Internet of vehicles | |
| CN201716818U (en) | Driver doze alarm device | |
| CN202011372U (en) | Intelligent seat for automobile driver | |
| US20090034796A1 (en) | Incapacity monitor | |
| CN108312964A (en) | A kind of fatigue driving state identification early warning system and method | |
| CN104376684A (en) | Monitoring system capable of preventing fatigue driving | |
| CN205158584U (en) | Device for resisting fatigue driving | |
| CN205405809U (en) | Driver fatigue detection alarm system based on intelligence wrist -watch | |
| CN213092484U (en) | Driver body detection and early warning equipment based on internet of things technology | |
| CN204264138U (en) | A kind of panorama type drunk driving detecting device be arranged on automobile | |
| CN202472864U (en) | Driver fatigue early warning device | |
| CN205862535U (en) | A kind of driver fatigue monitor system | |
| CN111439266A (en) | Driver state real-time monitoring system based on AIoT | |
| CN112687076A (en) | Method and device for preventing fatigue driving and bracelet | |
| CN108492528A (en) | A kind of real-time driving fatigue monitoring system and vehicle | |
| CN113066261A (en) | Automobile automatic braking and alarming system and method for sudden disease of driver | |
| CN212980178U (en) | Driver state real-time monitoring system based on AIoT | |
| CN209564118U (en) | A kind of train operator's rhythm of the heart monitoring alarm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |