CN110618437A - System and method for detecting drunk driving of vehicle driver - Google Patents
System and method for detecting drunk driving of vehicle driver Download PDFInfo
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- CN110618437A CN110618437A CN201910810267.XA CN201910810267A CN110618437A CN 110618437 A CN110618437 A CN 110618437A CN 201910810267 A CN201910810267 A CN 201910810267A CN 110618437 A CN110618437 A CN 110618437A
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- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/98—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving alcohol, e.g. ethanol in breath
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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Abstract
The invention relates to a detection system for drunk driving of a vehicle driver, which comprises a sensing layer, a network layer and an application layer, wherein the sensing layer is used for acquiring information inside and outside a vehicle; the sensing layer is connected with the network layer, and the network layer is connected with the application layer. The drunk driving detection system for the vehicle driver collects relevant information inside and outside the vehicle through the sensing layer, and then transmits the information to the application layer through the network layer to monitor the whole vehicle, so that the detection on site is not needed, the effect of remotely monitoring the alcohol concentration inside the vehicle in real time is realized, the detection is convenient and rapid, the result is accurate and reliable, and the management is very convenient.
Description
Technical Field
The invention relates to the technical field of drunk driving detection, in particular to a drunk driving detection system and a drunk driving detection method for a vehicle driver.
Background
With the rapid development of economy in China and the rapid improvement of the living standard of people, more and more people have own private cars, drunk driving is a main factor causing traffic accidents, and data shows that nearly one third of the serious traffic accidents occurring in recent years in China is caused by drunk driving. The existing alcohol concentration detection is mainly carried out in a blowing mode or through blood detection, and the mode only can be used for carrying out spot sampling on partial vehicles by a supervision department to determine whether a driver drunk and drives, but cannot be used for monitoring the driver in real time.
Disclosure of Invention
In order to solve the problem that the existing alcohol concentration detection of the vehicle driver can only be checked on site by a supervision department and cannot be monitored in real time, the invention provides the drunk driving detection system and the detection method thereof for the vehicle driver, which do not need on-site forced spot inspection, are convenient and quick to detect, have accurate and reliable results, can transmit alcohol concentration data in the driving process to a monitoring center in real time, can monitor in real time and are very convenient to manage.
In order to solve the technical problems, the invention provides the following technical scheme:
a detection system for drunk driving of a vehicle driver comprises a sensing layer for acquiring information inside and outside a vehicle, a network layer for transmitting data and an application layer for receiving and processing the data; the sensing layer is connected with the network layer, and the network layer is connected with the application layer. According to the invention, the relevant information inside and outside the vehicle is acquired through the sensing layer, and then the information is transmitted to the application layer through the network layer to monitor the whole vehicle, so that the field detection is not required, the effect of remotely monitoring the alcohol concentration inside the vehicle in real time is realized, the detection is convenient and fast, the result is accurate and reliable, and the management is very convenient.
Further, the sensing layer comprises a liquid alcohol sensor, a vehicle-mounted GPS positioning module, a camera, a voice chip, a microprocessor and a liquid crystal panel; the microprocessor is electrically connected with the body fluid type alcohol sensor, the vehicle-mounted GPS positioning module, the camera, the voice chip and the liquid crystal panel respectively, the microprocessor is connected with the application layer through the network layer, alcohol components with certain concentration exist in sweat on the surface of human skin in a period of time after drinking, the body fluid type alcohol sensor with extremely high sensitivity is utilized to convert alcohol molecules volatilized in body fluid into corresponding electric signals, the alcohol concentration is calculated, the internal resistance of the body fluid type alcohol sensor changes along with the change of the alcohol concentration of the body fluid, then the change of the partial pressure of the sampling resistor is expressed, the alcohol volatilized by the sweat at the finger end of a human body is sent into an analog-digital converter of the microprocessor in a sampling voltage form to carry out analysis and processing on converted data after A/D conversion, the relation between the alcohol concentration in human sweat and the output voltage of the sensor is obtained according to experiments, a matlab tool is used for making a fitting curve, the concentration value of the detected alcohol gas can be calculated according to the output voltage according to the fitting relation under different concentrations, whether the driver drives after drinking or not is judged by comparing with an alarm threshold value arranged in a microprocessor, the whole process does not need to manually use equipment for blowing detection, the detection method is rapid, the result is reliable and accurate, and the alcohol concentration on the driver can be well monitored.
Furthermore, the body fluid type alcohol sensor is arranged on a steering wheel of a vehicle, so that the alcohol concentration value of sweat of a driver can be better acquired.
Further, the network layer includes 4G wireless network devices, which can perform wireless transmission and better perform monitoring.
Furthermore, the application layer comprises a monitoring center, the monitoring center is connected with the microprocessor through the 4G wireless network equipment, and the monitoring center is also connected with a central control system of the vehicle through the 4G wireless network equipment, so that wireless transmission can be carried out, and monitoring can be better carried out.
A detection method of a drunk driving detection system for a vehicle driver comprises the following steps:
s1: the liquid alcohol sensor sends the alcohol concentration value measured on the driving position to the microprocessor for analysis and processing;
s2: the microprocessor transmits the alcohol concentration value and the position information of the vehicle to the monitoring center through 4G wireless network equipment;
s3: the microprocessor compares the alcohol concentration value with a preset alarm threshold value and judges whether the driver drives after drinking;
s4: if the alcohol concentration exceeds the preset alarm threshold value, namely drunk driving is achieved, the microprocessor displays the alcohol concentration value on the liquid crystal panel and controls the voice chip to carry out voice alarm reminding, and then the step S5 is continuously executed; if the driving temperature does not exceed the preset alarm threshold value, the driving is not drunk, and the step S1 is returned to continue to detect;
s5: when drunk driving occurs, the monitoring center controls the vehicle.
Further, in step S2, the microprocessor and the monitoring center send and analyze the alcohol concentration value and the vehicle location information data through a layer protocol; the transmitted data format consists of a frame header, a VIN number, a frame type, data content, a checksum and a frame tail; the frame head and the frame tail represent the start and the end of data transmission, a complete data content is represented from the frame head to the frame tail, the frame head uses "@% @" characters to represent the start of data transmission of a frame, the frame tail uses "% @" characters to represent the end of data transmission of a frame, the VIN number is the unique identity of the vehicle, the driver alcohol detection data and the vehicle position data are determined in the data content of the protocol when leaving a factory, and the data transmission safety and reliability are guaranteed by adopting a checksum mode.
Further, in step S5, the main page of the monitoring center includes a vehicle information module, a remote monitoring module, a remote control module, a remote diagnosis module, a vehicle searching assistance module, and a driver alcohol detection status information module, so that the vehicle can be monitored and managed in all directions.
Furthermore, the monitoring center is provided with a login system, a user can check related information and operation only after registering and logging in, the user needs to log in by using a user name and a password, and when the password is input for 3 times continuously and incorrectly, the account is locked, so that other people are prevented from carrying out illegal operation on the vehicle, and the safety is higher.
Further, the vehicle information module acquires static information of the vehicle from a central control system of the vehicle, wherein the static information comprises a vehicle owner, a license plate number and a vehicle type; dynamic information including longitude, latitude, speed, temperature, pressure, and fuel consumption; meanwhile, the system is also provided with a map loading interface, and the position of the vehicle is displayed on the map in real time through the longitude and the latitude transmitted by the vehicle, so that the monitoring is better carried out.
Furthermore, the remote monitoring module acquires information of a front left door, a front right door, a rear left door, a rear right door, a front end cover and a rear end cover of the vehicle from a central control system of the vehicle so as to confirm whether the four doors and the two covers are closed, and the monitoring is better carried out.
Furthermore, through the remote control module, a user can control equipment such as an engine, a central control lock and an air conditioner of the vehicle through a central control system of the vehicle, and the vehicle can be better monitored.
Furthermore, the remote diagnosis module acquires the current remote diagnosis result of the vehicle from the central control system of the vehicle, judges whether the vehicle has a fault, displays a corresponding fault code if the vehicle has the fault, gives a maintenance suggestion and can better monitor the vehicle.
Furthermore, through the auxiliary module, a user can control to turn on headlights and whistle of the vehicle through a central control system of the vehicle, so that the user can be helped to search for a target vehicle from a plurality of vehicles, and the auxiliary module is more convenient and quicker.
Further, the driver alcohol detection state information displays the current sweat alcohol detection result of the driver, if the result shows that the vehicle driver is in the drunk driving state, the monitoring center contacts the vehicle driver through a telephone to warn the driver to stop driving or give an alarm, and the monitoring effect is better.
Further, when a vehicle is positioned, a positioning coordinate directly acquired by a GPS chip of the vehicle-mounted GPS positioning module is not matched with a coordinate loaded by a hundred-degree map, the national mapping administration can perform biasing processing on a real coordinate in order to ensure the confidentiality of a domestic geographic position, the real coordinate is encrypted into a false coordinate through a specific algorithm, the biasing algorithm is not linear, so that the deviation condition of each place is different, the biased coordinate is also commonly called as a mars coordinate, a map issued domestically is generally a mars map, a geocentric coordinate of a WGS-84 standard is adopted internationally, the map issued domestically is encrypted by using GCJ-02 specified by the national mapping administration, and the hundred-degree map is secondarily encrypted by using BD-09 of a hundred company on the basis, so that the longitude and latitude acquired by the GPS chip are not matched with the hundred-degree map, the coordinate interface conversion is needed, the coordinate matching conversion is called in the VB, the correction of electronic map loading is carried out, a new BMap point function is used for newly building a coordinate point when a coordinate conversion function is called, a translateCallback is a function compiled in a static webpage file, the function can realize the purposes of moving a specified point to a map center, clearing marks and adding landmarks at specified coordinate positions, the correction of geographic positions can be realized by the method, the accurate display of vehicle information on the map according to the longitude and latitude information of the vehicle returned by the GPS can be realized, and the positioning precision is improved.
Compared with the prior art, the invention has the following beneficial effects:
1. the alcohol concentration in the body of the driver can be detected through the characteristic parameters of the body fluid of the driver, field forced spot inspection is not needed, convenience and rapidness are realized, the result is accurate and reliable, the result is transmitted to a monitoring center in real time, real-time monitoring can be realized, and the management is very convenient;
2. the monitoring center has six functional modules of vehicle information, remote monitoring, remote control, remote diagnosis, vehicle searching assistance, driver alcohol detection state information and the like, and can monitor and manage the vehicle in an all-around manner;
3. the correction of the electronic map loading at the computer end and the mobile phone end is realized, and the positioning precision of the vehicle on the electronic map is further improved;
4. an application protocol between a microprocessor and a monitoring center in the automobile is designed, the VIN number is used as the unique identification of the automobile identity, and the safety and the reliability of data transmission are guaranteed by adopting a checksum mode.
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 is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of a vehicle driver drunk driving detection system according to the present invention;
fig. 2 is a flowchart of a detection method of the detection system for drunk driving of a vehicle driver according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. 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.
The embodiment of the invention comprises the following steps:
as shown in fig. 1, a detection system for drunk driving of a vehicle driver includes a sensing layer for collecting information inside and outside a vehicle, a network layer for transmitting data, and an application layer for receiving and processing data; the sensing layer is connected with the network layer, and the network layer is connected with the application layer. According to the invention, the relevant information inside and outside the vehicle is acquired through the sensing layer, and then the information is transmitted to the application layer through the network layer to monitor the whole vehicle, so that the field detection is not required, the effect of remotely monitoring the alcohol concentration inside the vehicle in real time is realized, the detection is convenient and fast, the result is accurate and reliable, and the management is very convenient.
As shown in fig. 1, the sensing layer includes a liquid alcohol sensor, a vehicle-mounted GPS positioning module, a camera, a voice chip, a microprocessor, and a liquid crystal panel; the microprocessor is respectively electrically connected with the body fluid type alcohol sensor, the vehicle-mounted GPS positioning module, the camera, the voice chip and the liquid crystal panel, the microprocessor is connected with the application layer through the network layer, alcohol components with certain concentration exist in sweat on the surface of human skin in a period of time after drinking, the body fluid type alcohol sensor with extremely high sensitivity is utilized to convert alcohol molecules volatilized from body fluid into corresponding electric signals, the alcohol concentration is calculated, the internal resistance of the body fluid type alcohol sensor changes along with the change of the alcohol concentration of the body fluid of a human body, then the change is expressed through the change of partial pressure of a sampling resistor, the alcohol volatilized from the sweat at the finger end of the human body is sent into an analog-digital converter of the microprocessor in a sampling voltage form to carry out analysis and processing on converted data after A/D conversion, and the relation between the alcohol concentration in the sweat of the human body and the output voltage of the sensor is obtained, the matlab tool is used for making a fitting curve, the concentration value of the detected alcohol gas can be calculated according to the output voltage according to the fitting relation under different concentrations, whether drunk driving is carried out or not is judged by comparing the concentration value with an alarm threshold value arranged in the microprocessor, the whole process does not need to artificially use equipment for blowing detection, the detection method is quick, the result is reliable and accurate, and the alcohol concentration on the body of a driver can be well monitored.
In this embodiment, the body fluid alcohol sensor is disposed on the steering wheel of the vehicle, so that the alcohol concentration value of sweat of the driver can be better obtained.
As shown in fig. 1, the network layer includes 4G wireless network devices, which can perform wireless transmission and better perform monitoring.
As shown in fig. 1, the application layer includes a monitoring center, the monitoring center is connected to the microprocessor through the 4G wireless network device, and the monitoring center is also connected to the central control system of the vehicle through the 4G wireless network device, so as to perform wireless transmission and better monitor.
As shown in fig. 2, a detection method of a detection system for drunk driving of a vehicle driver includes the following steps:
s1: the liquid alcohol sensor sends the alcohol concentration value measured on the driving position to the microprocessor for analysis and processing;
s2: the microprocessor transmits the alcohol concentration value and the position information of the vehicle to the monitoring center through 4G wireless network equipment;
s3: the microprocessor compares the alcohol concentration value with a preset alarm threshold value and judges whether the driver drives after drinking;
s4: if the alcohol concentration exceeds the preset alarm threshold value, namely drunk driving is achieved, the microprocessor displays the alcohol concentration value on the liquid crystal panel and controls the voice chip to carry out voice alarm reminding, and then the step S5 is continuously executed; if the driving temperature does not exceed the preset alarm threshold value, the driving is not drunk, and the step S1 is returned to continue to detect;
s5: when drunk driving occurs, the monitoring center controls the vehicle.
More specifically, in step S2, the microprocessor and the monitoring center send and analyze the alcohol concentration value and the vehicle location information data through a layer protocol; the transmitted data format consists of a frame header, a VIN number, a frame type, data content, a checksum and a frame tail; the frame head and the frame tail represent the start and the end of data transmission, a complete data content is represented from the frame head to the frame tail, the frame head uses "@% @" characters to represent the start of data transmission of a frame, the frame tail uses "% @" characters to represent the end of data transmission of a frame, the VIN number is the unique identity of the vehicle, the driver alcohol detection data and the vehicle position data are determined in the data content of the protocol when leaving a factory, and the data transmission safety and reliability are guaranteed by adopting a checksum mode.
More specifically, in step S5, the main page of the monitoring center includes a vehicle information module, a remote monitoring module, a remote control module, a remote diagnosis module, a vehicle-searching assistance module, and a driver alcohol detection status information module, so that the vehicle can be monitored and managed in all directions.
Furthermore, the monitoring center is provided with a login system, a user can check related information and operation only after registration and login, login is required to be carried out by using a user name and a password, and when the password is input for 3 times continuously and incorrectly, the account is locked, so that other people are prevented from carrying out illegal operation on the vehicle, and the safety is higher.
Further, the vehicle information module acquires static information of the vehicle from a central control system of the vehicle, wherein the static information comprises a vehicle owner, a license plate number and a vehicle type; dynamic information including longitude, latitude, speed, temperature, pressure, and fuel consumption; meanwhile, the system is also provided with a map loading interface, and the position of the vehicle is displayed on the map in real time through the longitude and the latitude transmitted by the vehicle, so that the monitoring is better carried out.
Furthermore, the remote monitoring module acquires information of a front left door, a front right door, a rear left door, a rear right door, a front end cover and a rear end cover of the vehicle from a central control system of the vehicle so as to confirm whether the four doors and the two covers are closed, and the monitoring is better carried out.
Furthermore, a user can control equipment such as an engine, a central control lock, an air conditioner and the like of the vehicle through a central control system of the vehicle through a remote control module, so that the vehicle can be better monitored.
Furthermore, the remote diagnosis module acquires the current remote diagnosis result of the vehicle from the central control system of the vehicle, judges whether the vehicle has a fault, displays a corresponding fault code if the vehicle has the fault, gives a maintenance suggestion and can better monitor the vehicle.
Furthermore, the auxiliary module enables a user to control and turn on headlights and whistles of the vehicle through a central control system of the vehicle, so that the user can be helped to search for target vehicles from numerous vehicles, and the auxiliary module is more convenient and faster.
Furthermore, the driver alcohol detection state information displays the current sweat alcohol detection result of the driver, if the result shows that the vehicle driver is in the drunk driving state, the monitoring center contacts the vehicle driver through a telephone to warn the driver to stop driving or give an alarm, and the monitoring effect is better.
In addition, when a vehicle is positioned, a positioning coordinate directly acquired by a GPS chip of a vehicle-mounted GPS positioning module is not matched with a coordinate loaded by a hundred-degree map, the national mapping bureau can perform bias processing on a real coordinate in order to ensure the confidentiality of a domestic geographic position, the real coordinate is encrypted into a false coordinate through a specific algorithm, the bias algorithm is not linear, so that the bias condition of each place is different, the biased coordinate is also commonly called as a mars coordinate, the domestic map is generally a mars map, the international map adopts a geocentric coordinate of a WGS-84 standard, the domestic map must be encrypted by GCJ-02 specified by the national mapping bureau, and the hundred-degree map further performs secondary encryption by using BD-09 of a hundred-degree company on the basis, so that the longitude and latitude acquired by the GPS chip are not matched with the hundred-degree map, the coordinate interface conversion is needed, the coordinate matching conversion is called in the VB, the correction of electronic map loading is carried out, a new BMap point function is used for newly building a coordinate point when a coordinate conversion function is called, a translateCallback is a function compiled in a static webpage file, the function can realize the purposes of moving a specified point to a map center, clearing marks and adding landmarks at specified coordinate positions, the correction of geographic positions can be realized by the method, the accurate display of vehicle information on the map according to the longitude and latitude information of the vehicle returned by the GPS can be realized, and the positioning precision is improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A detection system for drunk driving of a vehicle driver is characterized by comprising a sensing layer for acquiring information inside and outside a vehicle, a network layer for transmitting data and an application layer for receiving and processing the data; the sensing layer is connected with the network layer, and the network layer is connected with the application layer.
2. The vehicle driver detection system of drunk driving of claim 1, wherein the sensory layer comprises a liquid alcohol sensor, an on-board GPS location module, a camera, a microprocessor, a voice chip, and a liquid crystal panel; the microprocessor is electrically connected with the body fluid type alcohol sensor, the vehicle-mounted GPS positioning module, the camera, the voice chip and the liquid crystal panel respectively, and the microprocessor is connected with the application layer through the network layer.
3. The vehicle driver detection system of drunk driving of claim 2, wherein the liquid alcohol sensor is disposed on a steering wheel of the vehicle.
4. The vehicle driver drunk driving detection system of claim 3, wherein the network layer includes 4G wireless network devices.
5. The system for detecting drunk driving of vehicle drivers as claimed in claim 4, wherein the application layer comprises a monitoring center, the monitoring center is connected with the microprocessor through the 4G wireless network device, and the monitoring center is further connected with a central control system of the vehicle through the 4G wireless network device.
6. A detection method of the detection system for detecting drunk driving of the vehicle driver according to claim 5, characterized by comprising the steps of:
s1: the liquid alcohol sensor sends the alcohol concentration value measured on the driving position to the microprocessor for analysis and processing;
s2: the microprocessor transmits the alcohol concentration value and the position information of the vehicle to the monitoring center through 4G wireless network equipment;
s3: the microprocessor compares the alcohol concentration value with a preset alarm threshold value and judges whether the driver drives after drinking;
s4: if the alcohol concentration exceeds the preset alarm threshold value, namely drunk driving is achieved, the microprocessor displays the alcohol concentration value on the liquid crystal panel and controls the voice chip to carry out voice alarm reminding, and then the step S5 is continuously executed; if the driving temperature does not exceed the preset alarm threshold value, the driving is not drunk, and the step S1 is returned to continue to detect;
s5: when drunk driving occurs, the monitoring center controls the vehicle.
7. The detecting method of the detecting system for detecting the drunk driving of the vehicle driver as claimed in claim 6, wherein in step S2, the sending and analyzing of the alcohol concentration value and the position information data of the vehicle are performed between the microprocessor and the monitoring center through a layer protocol; the transmitted data format consists of a frame header, a VIN number, a frame type, data content, a checksum and a frame tail; the frame head and the frame tail represent the start and the end of data transmission, a complete data content is represented from the frame head to the frame tail, the frame head uses the "@% @" character to represent the start of one frame of data transmission, and the frame tail uses the "% @" character to represent the end of one frame of data transmission.
8. The detecting method of the detecting system for detecting the drunk driving of the vehicle driver as set forth in claim 6, wherein in the step S5, the main page of the monitoring center includes a vehicle information module, a remote monitoring module, a remote control module, a remote diagnosis module, a vehicle searching assistance module and a driver alcohol detection state information module.
9. The method for detecting the drunk driving detection system of the vehicle driver as recited in claim 8, wherein the vehicle information module obtains static information of the vehicle from a central control system of the vehicle, wherein the static information comprises a vehicle owner, a license plate number and a vehicle type; dynamic information including longitude, latitude, speed, temperature, pressure, and fuel consumption; the vehicle information module is also provided with a map loading interface, and the position of the vehicle is displayed on the map in real time through the longitude and the latitude transmitted by the vehicle.
10. The detecting method of the detecting system for detecting the drunk driving of the vehicle driver as claimed in claim 8, wherein the remote monitoring module obtains the information of the front left door, the front right door, the rear left door, the rear right door, the front cover and the rear cover of the vehicle from a central control system of the vehicle to confirm whether the two doors are closed.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101178831A (en) * | 2007-12-04 | 2008-05-14 | 深圳市赛格导航科技股份有限公司 | Vehicle mounted driving after drinking testing apparatus and detection method thereof |
CN101519041A (en) * | 2009-03-27 | 2009-09-02 | 黄世强 | Drive forbidding system for detecting alcohol concentration from sweat |
CN101666796A (en) * | 2009-10-14 | 2010-03-10 | 河南汉威电子股份有限公司 | Method for measuring alcohol content in human body and device therefor |
CN102214385A (en) * | 2010-04-02 | 2011-10-12 | 深圳市赛格导航科技股份有限公司 | Vehicle-mounted device for detecting drunk driving and use method thereof for detecting drunk driving |
CN104139702A (en) * | 2013-07-31 | 2014-11-12 | 浙江信立实业有限公司 | Novel alcohol test controller system for automobile |
KR20160096251A (en) * | 2015-02-04 | 2016-08-16 | 강릉원주대학교산학협력단 | Drunk Driving Prevention Device |
CN105929815A (en) * | 2016-05-30 | 2016-09-07 | 长安大学 | Large-scale vehicle real-time monitoring and diagnosis, remote service and comprehensive processing method |
CN106143146A (en) * | 2016-08-29 | 2016-11-23 | 大连英力斯特机电设备有限公司 | A kind of motor vehicle equipment preventing drunk driving |
CN213023583U (en) * | 2019-08-29 | 2021-04-20 | 广州铁路职业技术学院(广州铁路机械学校) | Drunk driving detection system for vehicle driver |
-
2019
- 2019-08-29 CN CN201910810267.XA patent/CN110618437A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101178831A (en) * | 2007-12-04 | 2008-05-14 | 深圳市赛格导航科技股份有限公司 | Vehicle mounted driving after drinking testing apparatus and detection method thereof |
CN101519041A (en) * | 2009-03-27 | 2009-09-02 | 黄世强 | Drive forbidding system for detecting alcohol concentration from sweat |
CN101666796A (en) * | 2009-10-14 | 2010-03-10 | 河南汉威电子股份有限公司 | Method for measuring alcohol content in human body and device therefor |
CN102214385A (en) * | 2010-04-02 | 2011-10-12 | 深圳市赛格导航科技股份有限公司 | Vehicle-mounted device for detecting drunk driving and use method thereof for detecting drunk driving |
CN104139702A (en) * | 2013-07-31 | 2014-11-12 | 浙江信立实业有限公司 | Novel alcohol test controller system for automobile |
KR20160096251A (en) * | 2015-02-04 | 2016-08-16 | 강릉원주대학교산학협력단 | Drunk Driving Prevention Device |
CN105929815A (en) * | 2016-05-30 | 2016-09-07 | 长安大学 | Large-scale vehicle real-time monitoring and diagnosis, remote service and comprehensive processing method |
CN106143146A (en) * | 2016-08-29 | 2016-11-23 | 大连英力斯特机电设备有限公司 | A kind of motor vehicle equipment preventing drunk driving |
CN213023583U (en) * | 2019-08-29 | 2021-04-20 | 广州铁路职业技术学院(广州铁路机械学校) | Drunk driving detection system for vehicle driver |
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