CN114216941B - Drunk driving prevention alarm system based on composite array sensor - Google Patents
Drunk driving prevention alarm system based on composite array sensor Download PDFInfo
- Publication number
- CN114216941B CN114216941B CN202111521726.6A CN202111521726A CN114216941B CN 114216941 B CN114216941 B CN 114216941B CN 202111521726 A CN202111521726 A CN 202111521726A CN 114216941 B CN114216941 B CN 114216941B
- Authority
- CN
- China
- Prior art keywords
- alcohol
- module
- vehicle
- cloud platform
- sensor
- 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
- 239000002131 composite material Substances 0.000 title claims abstract description 16
- 230000002265 prevention Effects 0.000 title claims abstract description 12
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims abstract description 89
- 238000012937 correction Methods 0.000 claims abstract description 58
- 239000000779 smoke Substances 0.000 claims abstract description 28
- 230000005540 biological transmission Effects 0.000 claims abstract description 17
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 230000000007 visual effect Effects 0.000 claims abstract description 10
- 238000012549 training Methods 0.000 claims description 21
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 238000013527 convolutional neural network Methods 0.000 claims description 10
- 230000035622 drinking Effects 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 9
- 238000013528 artificial neural network Methods 0.000 claims description 5
- 238000010276 construction Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 abstract description 3
- 230000003449 preventive effect Effects 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 description 4
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 3
- 208000027418 Wounds and injury Diseases 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000002195 synergetic effect Effects 0.000 description 2
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000001174 ascending effect Effects 0.000 description 1
- 230000000712 assembly Effects 0.000 description 1
- 238000000429 assembly Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000000835 electrochemical detection Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 230000003211 malignant effect Effects 0.000 description 1
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P5/00—Measuring speed of fluids, e.g. of air stream; Measuring speed of bodies relative to fluids, e.g. of ship, of aircraft
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses a drunk driving prevention alarm system based on a composite array sensor, which relates to the technical field of alcohol detection and comprises an alcohol module, a smoke module, a wind speed module, an infrared module, an image acquisition module and a cloud platform; after the equipment is started, the infrared module is used for sensing whether a person exists in the automobile, other functional module components are automatically closed when no person exists in the automobile, and when the person exists in the automobile, all data acquired by the alcohol module, the smoke module and the wind speed module are uploaded to the cloud platform through the transmission module, and the cloud platform carries out real-time online correction on the data through modeling and simulation on the air flow in the automobile; if the alcohol correction value is larger than the alcohol threshold value, the audible and visual alarm gives an alarm to prompt a manager to take relevant measures for preventive treatment, so that safety accidents are effectively avoided; meanwhile, the image acquisition module is linked to start a camera to take a candid photograph of the interior of the vehicle for evidence collection; the invention does not need the cooperation of drivers, monitors in real time, and has higher precision and stronger anti-interference capability.
Description
Technical Field
The invention relates to the technical field of alcohol detection, in particular to a drunk driving prevention alarm system based on a composite array sensor.
Background
The automobile industry rapidly develops, the number and variety are various, the automobile becomes a main transportation tool, however, more than 30% of road traffic accidents are counted to be caused by drunk driving and drunk driving, huge casualties and property loss are caused, and the casualties and property loss caused by drunk driving are in an ascending trend along with the rapid increase of the quantity of the automobile;
from the data of drunk driving check in recent years, although a series of measures for preventing and striking drunk driving behaviors such as drunk driving violations, drunk driving criminals and the like are implemented, malignant events such as drunk driving violations, group death group injury and the like caused by the drunk driving violations still occur at times, the group death group injury event caused by drunk driving is more feelings of feelings and hearts, and the drunk driving behaviors have serious threatens on life and property safety; in order to effectively prevent drunk driving hazard behaviors, the drunk driving prevention alarm system based on the composite array sensor is developed by combining practical work.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the drunk driving prevention alarm system based on the composite array sensor provided by the invention adopts the composite sensor, integrates the functions of detection, alarm, cloud storage, cloud discrimination and the like, greatly improves the sensitivity and precision of alcohol detection, effectively eliminates false alarm, can effectively deter drunk driving illegal behaviors while improving the detection efficiency, and provides an effective technical means for drunk driving prevention and treatment.
To achieve the above objective, an embodiment according to a first aspect of the present invention provides a drunk driving prevention alarm system based on a composite array sensor, which includes an alcohol module, a smoke module, a wind speed module, an infrared module, an image acquisition module, and an audible and visual alarm;
after the system is powered on, the infrared module is used for sensing whether a person exists in the vehicle; when a person is in the vehicle, the alcohol module is used for detecting an original alcohol value in the vehicle and uploading the original alcohol value to the cloud platform through the transmission module; the smoke module is used for detecting the smoke concentration in the vehicle and uploading the smoke concentration to the cloud platform through the transmission module; the wind speed module is used for collecting air characteristic data in the vehicle and uploading the air characteristic data to the cloud platform through the transmission module;
the cloud platform is used for carrying out approximate linear proportion correction on the original value of alcohol according to the proportional relation between the smoke concentration and the CO concentration to obtain an interference gas correction value; then inputting the received air characteristic data and the interference gas correction value into an alcohol concentration correction model to obtain an alcohol correction value; if the alcohol correction value is larger than the alcohol threshold value, generating an abnormal alarm signal;
the audible and visual alarm sends out an alarm after receiving the abnormal alarm signal and transmits the abnormal alarm signal to the image acquisition module; in response to receiving the abnormal alarm signal, the image acquisition module is linked to start the camera to take a candid photograph in the car, and the candid photograph image and the positioning data arranged in the internet of things card are uploaded to the cloud platform for archiving, so that the candid photograph is used as a qualitative punishment basis for subsequent drunk driving.
Further, the cloud platform is further used for determining an optimal alcohol concentration correction model on the basis of the interference gas correction value by modeling and simulating air flow in the vehicle and integrating air characteristic data in the vehicle, and the alcohol concentration correction model is constructed through an RBF neural network or a deep convolution neural network, and the specific construction steps are as follows:
standard training data are obtained; the standard training data comprises historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are detected and obtained manually through an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a testing set and a checking set according to a set proportion; the set proportions include 2:1:1, 3:1:1 and 4:3:1;
training, testing and checking the deep convolutional neural network model after the training set, the testing set and the checking set are subjected to data normalization, and marking the trained deep convolutional neural network model as an alcohol concentration correction model.
Further, the infrared module comprises an infrared sensor, and the infrared sensor is used for sensing whether a person exists in the vehicle; if no person is in the vehicle, other functional module components are automatically closed; if someone exists in the vehicle, other functional module components are automatically linked and started for collaborative detection.
Further, the alcohol correction value and the alcohol content in the human body are in a corresponding relation, so that the drinking state and the drinking degree of the people in the vehicle can be qualitatively determined.
Further, the alcohol module includes an electrochemical alcohol sensor; the smoke module includes a smoke sensor; the wind speed module comprises a wind speed sensor; the smoke sensor, the wind speed sensor and the alcohol sensor are all composite sensors and form a sensor array.
Further, the air characteristic data includes an air flow speed, an in-vehicle air conditioner internal and external circulation, and whether to window.
Further, the transmission module and the cloud platform are connected in a distributed mode through the nodes of the internet of things.
Further, when the abnormal alarm signal is generated, the cloud platform is further used for sending a reminding short message to the associated mobile terminal to remind a manager of the mobile terminal of drunk driving of the personnel in the vehicle at present so as to take corresponding measures in time and avoid safety accidents.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention adopts the infrared module, can automatically sense whether a person exists in the vehicle after the equipment is started, and automatically close other functional module components when no person exists, thereby reducing invalid detection time, prolonging the service life of the sensor and reducing the power loss of a system power supply; the composite array sensor is adopted to integrate sensors with different types and precision, so that accurate data acquisition under complex environments and multiple interference factors in the vehicle is realized, each item of data is uploaded to the cloud platform through the transmission module, the cloud platform carries out real-time online correction on the data through modeling and simulation on air flow in the vehicle, interference on the sensors caused by formaldehyde, methanol, small molecular esters, ventilation and the like is effectively eliminated, the obtained alcohol correction value and the alcohol content in the human body are in a corresponding relation, and the drinking state and the drinking degree of personnel in the vehicle can be qualitatively determined; the invention does not need the cooperation of drivers, monitors in real time, has higher precision and stronger anti-interference capability;
2. if the alcohol correction value is larger than the alcohol threshold value, the audible and visual alarm gives an alarm, and meanwhile, the image acquisition module is linked to start the camera to take a candid photograph of the interior of the vehicle, and the candid photograph of the interior of the vehicle and the positioning data arranged in the Internet of things card are uploaded to the cloud platform for archiving, so that the candid photograph of the interior of the vehicle is taken as a basis for qualitative punishment of subsequent drunk driving; the cloud platform is further used for sending a reminding short message to the associated mobile terminal so as to remind a manager of the mobile terminal that the manager is drunk by people in the vehicle currently, and after receiving the reminding short message, the manager can confirm the matched vehicle and personnel information according to the reminding short message and take relevant measures to carry out preventive treatment, so that safety accidents are avoided.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of the present invention.
FIG. 2 is a flow chart of drunk driving prevention alarm according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 to 2, the drunk driving prevention alarm system based on the composite array sensor comprises an alcohol module, a transmission module, a smoke module, a wind speed module, an infrared module, an image acquisition module, a cloud platform and an audible and visual alarm;
the infrared module comprises an infrared sensor, is used for sensing whether a person exists in the vehicle after the equipment is started, and automatically closes other functional module components if no person exists in the vehicle, so that invalid detection time is reduced, the service life of the sensor is prolonged, and power consumption of a power supply is reduced; if someone is in the vehicle, other functional module components are automatically linked and started for collaborative detection, so that the detection precision is improved;
in combination with the actual requirements of vehicle-mounted alcohol detection equipment, the electrochemical alcohol sensor is adopted in the project, the sensor has the hot spots of good gas selectivity, high sensitivity, excellent temperature and humidity compensation and the like, when people exist in the vehicle, the alcohol module is the electrochemical alcohol sensor and is used for detecting the original value of alcohol in the vehicle, and the original value of alcohol is uploaded to the cloud platform through the transmission module; the original value of alcohol is expressed as original alcohol concentration; the transmission module is connected with the cloud platform in a distributed mode through the nodes of the Internet of things;
however, based on an electrochemical detection principle, under the condition that different air flow scenes and multi-component interference gas exist in complex environments in a vehicle, interference deviation can occur in detection data; aiming at the problem of multi-component interference gas, particularly the interference caused by incomplete combustion of organic gas such as CO and the like on alcohol detection, the system adopts a smoke module which is a smoke sensor and is used for detecting the smoke concentration in a vehicle and uploading the smoke concentration to a cloud platform through a transmission module; the cloud platform is used for carrying out approximate linear proportion correction on the original value of alcohol according to the proportional relation between the smoke concentration and the CO concentration to obtain an interference gas correction value;
the wind speed module comprises a wind speed sensor and is used for acquiring air characteristic data in the vehicle, wherein the air characteristic data comprise air flow speed, internal and external circulation of an air conditioner in the vehicle, whether window opening is performed or not and the like, and the air characteristic data are uploaded to the cloud platform through the transmission module;
the cloud platform is used for receiving the air characteristic data acquired by the wind speed module, inputting the air characteristic data and the interference gas correction value into the alcohol concentration correction model to acquire an alcohol correction value, and comparing the alcohol correction value with an alcohol threshold value; if the alcohol correction value is larger than the alcohol threshold value, generating an abnormal alarm signal; the audible and visual alarm sends out an alarm after receiving the abnormal alarm signal, and transmits the abnormal alarm signal to the image acquisition module; wherein the alcohol correction value and the alcohol content in the human body are in corresponding relation, so that the drinking state and the drinking degree of the personnel in the vehicle can be qualitatively determined; in response to receiving the abnormal alarm signal, the image acquisition module is linked to start the camera to take a candid photograph of the interior of the vehicle, and the candid photograph image and the positioning data arranged in the internet of things card are uploaded to the cloud platform for archiving and serve as a qualitative punishment basis for subsequent drunk driving;
the smoke sensor, the wind speed sensor and the alcohol sensor are all composite sensors, integrate functions of detection, alarm, cloud storage, cloud discrimination and the like, form a sensor array, perform synergistic effect from multiple dimensions, and realize accurate data acquisition under complex environments and multiple interference factors in the vehicle;
in this embodiment, when an abnormal alarm signal is generated, the cloud platform is further configured to send a reminding short message to an associated mobile terminal, so as to remind a manager of the mobile terminal of drunk driving of a person in the vehicle currently, and timely take corresponding measures to avoid occurrence of a security accident;
the invention adopts a transmission module, and the data acquired by each sensor is transmitted to the cloud platform and the APP in real time through the distributed internet of things node, and the cloud platform and the APP have the functions of storage, operation, analysis, screening, abnormal alarm and the like;
in this embodiment, the cloud platform is further configured to determine an optimal alcohol concentration correction model based on the interference gas correction value by modeling and simulating the air flow in the vehicle, integrating factors such as internal and external circulation of the air conditioner in the vehicle, whether to window, and the like, where the alcohol concentration correction model is constructed by using an RBF neural network or a deep convolutional neural network, and specifically comprises the following construction steps:
standard training data are obtained; the standard training data comprises historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are detected and obtained manually through an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a testing set and a checking set according to a set proportion; the set proportions include 2:1:1, 3:1:1 and 4:3:1;
training, testing and checking the deep convolutional neural network model after the training set, the testing set and the checking set are subjected to data normalization, and marking the trained deep convolutional neural network model as an alcohol concentration correction model; the invention relates to a product capable of continuously and passively detecting the alcohol concentration in a vehicle space for 24 hours, which is based on an advanced alcohol sensor detection technology, realizes accurate data acquisition under complex environment and multiple interference factors in the vehicle through the multi-dimensional synergism of a composite array sensor, and the data are uploaded to a cloud platform through a transmission module, and the cloud platform carries out real-time online correction on the data through a pre-carried environment modeling and simulation system, so that the obtained alcohol correction value and the alcohol content in a human body are in a corresponding relation, and the drinking state and the drinking degree of people in the vehicle can be qualitatively determined; the system has the functions of drunk driving snapshot, cloud platform, APP alarm, short message notification reminding and the like, and has the advantages of high precision, high stability, low power consumption, excellent anti-interference performance and the like.
The working principle of the invention is as follows:
when the drunk driving prevention alarm system based on the composite array sensor works, the infrared sensor is used for sensing whether a person exists in the vehicle after the equipment is started, and if no person exists in the vehicle, other functional module components are automatically closed; if people exist in the vehicle, other functional module assemblies are automatically started in a linkage way, the alcohol module is used for detecting an original alcohol value in the vehicle, the smoke module is used for detecting smoke concentration in the vehicle, and the cloud platform is used for carrying out approximate linear proportion correction on the original alcohol value according to a proportional relation between the smoke concentration and the CO concentration to obtain an interference gas correction value; the cloud platform is used for integrating factors such as internal and external circulation, windowing and the like of an air conditioner in the vehicle by modeling and simulating the air flow in the vehicle, determining an optimal alcohol concentration correction model on the basis of an interference gas correction value by adopting the synergistic effect of multiple variables, inputting the air characteristic data and the interference gas correction value into the alcohol concentration correction model to obtain an alcohol correction value, and sending an alarm by the audible and visual alarm if the alcohol correction value is larger than an alcohol threshold value;
when an audible and visual alarm gives an alarm, an image acquisition module is linked to start a camera to take a candid photograph of the interior of a vehicle, and the candid photograph of the interior of the vehicle and positioning data built in an Internet of things card are uploaded to a cloud platform for archiving, and the cloud platform is further used for sending a reminding short message to an associated mobile terminal to remind a manager of the mobile terminal of drunk driving of a person in the interior of the vehicle.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. The drunk driving prevention alarm system based on the composite array sensor is characterized by comprising an alcohol module, a smoke module, a wind speed module, an infrared module, an image acquisition module and an audible and visual alarm;
the infrared module comprises an infrared sensor, and the infrared sensor is used for sensing whether a person exists in the vehicle after the system is electrified; if no person is in the vehicle, other functional module components are automatically closed; if people exist in the vehicle, other functional module components are automatically linked and started for collaborative detection;
when a person is in the vehicle, the alcohol module is used for detecting an original alcohol value in the vehicle and uploading the original alcohol value to the cloud platform through the transmission module; the smoke module is used for detecting the smoke concentration in the vehicle and uploading the smoke concentration to the cloud platform through the transmission module;
the wind speed module is used for collecting air characteristic data in the vehicle and uploading the air characteristic data to the cloud platform through the transmission module; the air characteristic data comprise air flow speed, internal and external circulation of an air conditioner in the vehicle and whether window opening is performed;
the transmission module is connected with the cloud platform in a distributed mode through the nodes of the Internet of things;
the alcohol module comprises an electrochemical alcohol sensor; the smoke module includes a smoke sensor; the wind speed module comprises a wind speed sensor; the smoke sensor, the wind speed sensor and the alcohol sensor are all composite sensors and form a sensor array;
the cloud platform is used for determining an optimal alcohol concentration correction model on the basis of an interference gas correction value by modeling and simulating air flow in the vehicle and integrating air characteristic data in the vehicle;
the alcohol concentration correction model is constructed through an RBF neural network or a deep convolution neural network, and the specific construction steps are as follows:
standard training data are obtained; the standard training data comprises historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are detected and obtained manually through an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a testing set and a checking set according to a set proportion; the set proportions include 2:1:1, 3:1:1 and 4:3:1;
training, testing and checking the deep convolutional neural network model after the training set, the testing set and the checking set are subjected to data normalization, and marking the trained deep convolutional neural network model as an alcohol concentration correction model;
the cloud platform is used for carrying out approximate linear proportion correction on the original value of alcohol according to the proportional relation between the smoke concentration and the CO concentration to obtain an interference gas correction value; then inputting the received air characteristic data and the interference gas correction value into an alcohol concentration correction model to obtain an alcohol correction value;
wherein the alcohol correction value and the alcohol content in the human body are in a corresponding relation and are used for qualifying the drinking state and the drinking degree of the personnel in the vehicle; if the alcohol correction value is larger than the alcohol threshold value, generating an abnormal alarm signal;
the audible and visual alarm sends out an alarm after receiving the abnormal alarm signal and transmits the abnormal alarm signal to the image acquisition module; in response to receiving the abnormal alarm signal, the image acquisition module is linked to start a camera to take a candid photograph of the interior of the vehicle, and the candid photograph of the interior of the vehicle and positioning data arranged in the internet of things card are uploaded to a cloud platform for archiving, and serve as a qualitative punishment basis for subsequent drunk driving;
when an abnormal alarm signal is generated, the cloud platform is further used for sending a reminding short message to an associated mobile terminal to remind a manager of the mobile terminal of drunk driving of the current personnel in the vehicle so as to take corresponding measures in time and avoid safety accidents.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111521726.6A CN114216941B (en) | 2021-12-13 | 2021-12-13 | Drunk driving prevention alarm system based on composite array sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111521726.6A CN114216941B (en) | 2021-12-13 | 2021-12-13 | Drunk driving prevention alarm system based on composite array sensor |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114216941A CN114216941A (en) | 2022-03-22 |
| CN114216941B true CN114216941B (en) | 2023-12-29 |
Family
ID=80701601
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111521726.6A Active CN114216941B (en) | 2021-12-13 | 2021-12-13 | Drunk driving prevention alarm system based on composite array sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114216941B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116434029B (en) * | 2023-06-15 | 2023-08-18 | 西南石油大学 | Drinking detection method |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004212217A (en) * | 2002-12-27 | 2004-07-29 | Tokai Denshi Kk | Alcohol detection system |
| CN1609605A (en) * | 2003-10-21 | 2005-04-27 | 中国科学院电子学研究所 | Sensor array signal processing method for liquor smell detection |
| CN102192927A (en) * | 2010-11-05 | 2011-09-21 | 重庆大学 | Air-quality monitoring system based on electronic nose technique, and monitoring method thereof |
| CN103112354A (en) * | 2013-01-16 | 2013-05-22 | 重庆电子工程职业学院 | Wireless multifunctional monitoring system and monitoring method of alcohol |
| CN106564430A (en) * | 2016-11-18 | 2017-04-19 | 广西大学 | Vehicle-mounted measurement equipment for alcohol concentration based on multisensor interference resistance |
| CN107985190A (en) * | 2017-11-27 | 2018-05-04 | 中原工学院 | A kind of vehicle-mounted adaptive driver alcohol detection alarm system based on multisensor |
| CN109655578A (en) * | 2018-10-31 | 2019-04-19 | 东莞市雅合电子有限公司 | A kind of drunk driving based reminding method, system and storage medium |
| CN210258012U (en) * | 2019-07-22 | 2020-04-07 | 江苏常荣电器有限公司 | Anti-cheating drunk driving detection device based on identity recognition |
| CN111688711A (en) * | 2020-06-12 | 2020-09-22 | 南京森林警察学院 | Alcohol detection management system and method based on cloud computing |
| CN113176304A (en) * | 2021-04-14 | 2021-07-27 | 中山大学 | Drunk driving early warning device and method based on neural network gas identification |
| CN113370786A (en) * | 2021-06-10 | 2021-09-10 | 桂林电子科技大学 | Vehicle-mounted drunk driving comprehensive detection system for unit vehicle based on multi-source information fusion |
| CN214564638U (en) * | 2021-02-02 | 2021-11-02 | 江苏奥力威传感高科股份有限公司 | Alcohol concentration detection control system in car |
| CN113619386A (en) * | 2021-08-19 | 2021-11-09 | 四川轻化工大学 | Embedded multidimensional perception driver safety assistance and alarm system |
-
2021
- 2021-12-13 CN CN202111521726.6A patent/CN114216941B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004212217A (en) * | 2002-12-27 | 2004-07-29 | Tokai Denshi Kk | Alcohol detection system |
| CN1609605A (en) * | 2003-10-21 | 2005-04-27 | 中国科学院电子学研究所 | Sensor array signal processing method for liquor smell detection |
| CN102192927A (en) * | 2010-11-05 | 2011-09-21 | 重庆大学 | Air-quality monitoring system based on electronic nose technique, and monitoring method thereof |
| CN103112354A (en) * | 2013-01-16 | 2013-05-22 | 重庆电子工程职业学院 | Wireless multifunctional monitoring system and monitoring method of alcohol |
| CN106564430A (en) * | 2016-11-18 | 2017-04-19 | 广西大学 | Vehicle-mounted measurement equipment for alcohol concentration based on multisensor interference resistance |
| CN107985190A (en) * | 2017-11-27 | 2018-05-04 | 中原工学院 | A kind of vehicle-mounted adaptive driver alcohol detection alarm system based on multisensor |
| CN109655578A (en) * | 2018-10-31 | 2019-04-19 | 东莞市雅合电子有限公司 | A kind of drunk driving based reminding method, system and storage medium |
| CN210258012U (en) * | 2019-07-22 | 2020-04-07 | 江苏常荣电器有限公司 | Anti-cheating drunk driving detection device based on identity recognition |
| CN111688711A (en) * | 2020-06-12 | 2020-09-22 | 南京森林警察学院 | Alcohol detection management system and method based on cloud computing |
| CN214564638U (en) * | 2021-02-02 | 2021-11-02 | 江苏奥力威传感高科股份有限公司 | Alcohol concentration detection control system in car |
| CN113176304A (en) * | 2021-04-14 | 2021-07-27 | 中山大学 | Drunk driving early warning device and method based on neural network gas identification |
| CN113370786A (en) * | 2021-06-10 | 2021-09-10 | 桂林电子科技大学 | Vehicle-mounted drunk driving comprehensive detection system for unit vehicle based on multi-source information fusion |
| CN113619386A (en) * | 2021-08-19 | 2021-11-09 | 四川轻化工大学 | Embedded multidimensional perception driver safety assistance and alarm system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114216941A (en) | 2022-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105469035A (en) | Driver's bad driving behavior detection system based on binocular video analysis | |
| CN110243762A (en) | Telemetering motor vehicle tail and supervisory systems and self study high emitter decision algorithm | |
| CN107161104B (en) | A kind of vehicle drive assist system | |
| DE102021102963A1 (en) | VEHICLE INTERIOR SECURITY SYSTEM AND PROCEDURE | |
| CN103909826A (en) | Optimization method for collaboratively sensing violation behavior of drivers | |
| CN109801398A (en) | One kind being based on RFID Internet of Things vehicle intelligent terminal data monitoring management system | |
| CN101470951A (en) | Vehicle security drive monitoring system | |
| US20070282519A1 (en) | System and method for analyzing traffic disturbances reported by vehicles | |
| CN114216941B (en) | Drunk driving prevention alarm system based on composite array sensor | |
| CN110549976A (en) | In-vehicle high-temperature protection system and method thereof | |
| CN101178831A (en) | Vehicle mounted driving after drinking testing apparatus and detection method thereof | |
| DE102018201517A1 (en) | A fire hazard detection system for a motor vehicle, a method of detecting a fire hazard, and a motor vehicle having a fire hazard detection system | |
| CN106882048B (en) | Driver suitable driving detection and behavior identification system | |
| CN109993098A (en) | City vehicle black smoke intelligent recognition big data analysis system and method | |
| CN201233648Y (en) | Vehicle mounted drunken driving detection apparatus and drunken driving detection system | |
| CN103692913A (en) | Drunken driving monitoring device | |
| CN111626905A (en) | Passenger safety monitoring method and device and computer readable storage medium | |
| CN110660191A (en) | Detection alarm method and device for preventing biological asphyxia left in vehicle | |
| CN109383516A (en) | A kind of anomaly analysis behavioral value system based on user behavior analysis | |
| CN116279500B (en) | Vehicle collision recognition method | |
| CN110281844B (en) | School bus safety control system and safe school bus | |
| CN110909641A (en) | Method, device and system for detecting overload of motorcycle | |
| CN106502115A (en) | A kind of intelligent home control system and method based on GPS technology | |
| Batra et al. | SmartCOdetect: An Automated Car Window Opening System on Detection of Carbon Monoxide | |
| CN207758696U (en) | A kind of automobile data recorder |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |