CN114216941A - Drunken driving prevention alarm system based on composite array sensor - Google Patents
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- 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
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- 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
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- 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
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- 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
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- 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
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- G—PHYSICS
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- 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
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- G—PHYSICS
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- 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
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- H—ELECTRICITY
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- 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 drunken 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 vehicle or not, other functional module components are automatically closed when no person exists, when the person exists in the vehicle, various data collected 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 air flow in the vehicle; 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; simultaneously, the image acquisition module is linked to start a camera to shoot and obtain evidence in the vehicle; the invention does not need the cooperation of drivers, and has the advantages of real-time monitoring, 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 and alarm system based on a composite array sensor.
Background
The automobile industry is rapidly developed, the quantity and the variety are various, automobiles become main transportation tools, however, according to statistics, more than 30% of road traffic accidents are caused by drunk driving and drunk driving, huge casualties and property loss are caused, and with the rapid increase of automobile holding capacity, casualties and property loss caused by drunk driving are in an increasing trend;
from the drunk driving survey data in recent years, although a series of measures for preventing and fighting drunk driving behaviors such as drunk driving illegal behaviors, drunk driving criminals and the like are implemented, the drunk driving illegal behaviors and the vicious events such as group death and group injury caused by the drunk driving illegal behaviors still occur occasionally, the group death and group injury events caused by drunk driving are more terrible to eyes, and the drunk driving behaviors pose serious threats to the safety of lives and properties; in order to effectively prevent drunken driving harm behaviors, a drunken driving prevention alarm system based on a composite array sensor is developed by combining the working practice.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the drunk driving prevention alarm system based on the composite array sensor provided by the invention integrates the functions of detection, alarm, cloud storage, cloud discrimination and the like by adopting the composite sensor, 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.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a drunken driving prevention alarm system based on a composite array sensor, including 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 or not; when people are in the vehicle, the alcohol module is used for detecting the original value of alcohol in the vehicle and uploading the original value of alcohol 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 acquiring 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 the alcohol according to the direct proportion relation between the smoke concentration and the CO concentration to obtain a corrected value of the interference gas; 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 an alarm after receiving the abnormal alarm signal and transmits the abnormal alarm signal to the image acquisition module; and responding to the received abnormal alarm signal, the image acquisition module starts the camera in a linkage manner to capture the inside of the vehicle for evidence collection, and uploads the captured image and positioning data built in the Internet of things card to the cloud platform for archiving as a basis for subsequent drunk driving qualitative punishment.
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, the alcohol concentration correction model is constructed through an RBF neural network or a deep convolution neural network, and the concrete construction steps are as follows:
acquiring standard training data; the standard training data comprise historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are obtained manually through detection of an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a test set and a check set according to a set proportion; the set ratio comprises 2:1:1, 3:1:1 and 4:3: 1;
and after the training set, the test set and the check set are subjected to data normalization, training, testing and checking the deep convolutional neural network model, 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 exists in the vehicle, other functional module components are automatically closed; if the vehicle is occupied, the other functional module components are automatically linked to start to cooperatively detect.
Furthermore, the alcohol correction value corresponds to the alcohol content in the human body, so that the drinking state and the drinking degree of people in the vehicle can be determined.
Further, the alcohol module comprises an electrochemical alcohol sensor; the smoke module comprises 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 comprises air flow speed, inside and outside circulation of the air conditioner in the automobile and whether to open a window.
Further, the transmission module is connected with the cloud platform in a distributed mode through the nodes of the internet of things.
Further, when an 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 the current vehicle-mounted person of drunk driving, so that corresponding measures can be taken timely, and safety accidents are avoided.
Compared with the prior art, the invention has the beneficial effects that:
1. the infrared module is adopted, so that whether a person exists in the vehicle can be automatically sensed after the equipment is started, other functional module assemblies are automatically closed when no person exists, invalid detection time is shortened, the service life of the sensor is prolonged, and the power loss of a system power supply is reduced; the system adopts a composite array sensor to integrate sensors of different types and precision, so that accurate data acquisition in complex environments in the vehicle and under multiple interference factors is realized, all data are uploaded to a cloud platform through a transmission module, the cloud platform carries out real-time online correction on the data through modeling and simulation on air flow in the vehicle, the interference of formaldehyde, methanol, micromolecule esters, ventilation and the like on the sensors is effectively eliminated, the obtained alcohol correction value is in a corresponding relation with the alcohol content in the human body, and the drinking state and the drinking degree of personnel in the vehicle can be determined; the invention does not need the cooperation of drivers, monitors in real time, and 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, the image acquisition module is linked to start the camera to take a snapshot and evidence in the vehicle, and the snapshot image and positioning data built in the Internet of things card are uploaded to a cloud platform to be filed as a subsequent drunken driving qualitative punishment basis; 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 a person in the vehicle is drunk to drive currently, and after receiving the reminding short message, the manager can confirm the matched vehicle and person information according to the reminding short message, take relevant measures to carry out preventive treatment, and avoid safety accidents.
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 some 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 block diagram of the system of the present invention.
Fig. 2 is a flow chart of the drunk driving prevention alarm of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
As shown in fig. 1 to 2, an drunk driving prevention alarm system based on a 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 and is used for sensing whether a person is in the vehicle or not after the equipment is started, if no person is in the vehicle, other functional module components are automatically closed, invalid detection time is shortened, the service life of the sensor is prolonged, and power consumption of a power supply is reduced; if a person is in the vehicle, other functional module assemblies are automatically linked to start for cooperative detection, so that the detection precision is improved;
according to the actual requirements of vehicle-mounted alcohol detection equipment, an electrochemical alcohol sensor is adopted in the project, the sensor has good gas selectivity, high sensitivity, excellent temperature and humidity compensation and other hot points, when people exist in a vehicle, an alcohol module is the electrochemical alcohol sensor and is used for detecting the original value of alcohol in the vehicle and uploading the original value of the alcohol to a cloud platform through a transmission module; the original value of alcohol is expressed as the original alcohol concentration; the transmission module is connected with the cloud platform in a distributed mode through the nodes of the Internet of things;
based on the electrochemical detection principle, under the conditions of different air flow scenes, the existence of multi-component interference gas and other in-vehicle complex environments, the detection data can generate interference deviation; aiming at the problem of multi-component interference gas, particularly the interference of organic gas such as incomplete combustion CO of cigarettes 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 alcohol original value according to the direct proportion 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 collecting air characteristic data in the vehicle, wherein the air characteristic data comprises air flow speed, internal and external circulation of an air conditioner in the vehicle, whether to open a window and the like, and the air characteristic data is uploaded to the cloud platform through the transmission module;
the cloud platform is used for receiving the air characteristic data collected by the air speed module, inputting the air characteristic data and the interference gas correction value into the alcohol concentration correction model to obtain 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 an alarm after receiving the abnormal alarm signal and transmits the abnormal alarm signal to the image acquisition module; wherein the alcohol correction value corresponds to the alcohol content in the human body, and can be used for determining the drinking state and drinking degree of people in the vehicle; in response to the received abnormal alarm signal, the image acquisition module is linked to start a camera to take a snapshot and evidence in the vehicle, and the snapshot image and positioning data built in the internet of things card are uploaded to a cloud platform together for archiving and serve as a subsequent drunken driving qualitative punishment basis;
the smoke sensor, the wind speed sensor and the alcohol sensor are all composite sensors, the functions of detection, alarming, cloud storage, cloud discrimination and the like are integrated, a sensor array is formed, synergy is carried out from multiple dimensions, and accurate data acquisition in complex environments and under multiple interference factors in the vehicle is realized;
in this embodiment, when the abnormal alarm signal is generated, the cloud platform is further configured to send a reminding short message to the associated mobile terminal to remind a manager of the mobile terminal of the current vehicle-mounted person of drunk driving, and take corresponding measures in time to avoid occurrence of a safety accident;
the system adopts a transmission module to transmit data acquired by each sensor to a cloud platform and an APP in real time through a distributed Internet of things node, and the cloud platform and the APP have the functions of storage, operation, analysis, discrimination, abnormity 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 air flow in the vehicle, integrating factors such as internal and external circulation of an air conditioner in the vehicle and whether to open a window, and clarifying synergistic effects of multiple variables, where the alcohol concentration correction model is constructed by using an RBF neural network or a deep convolution neural network, and the concrete construction steps are as follows:
acquiring standard training data; the standard training data comprise historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are obtained manually through detection of an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a test set and a check set according to a set proportion; the set ratio comprises 2:1:1, 3:1:1 and 4:3: 1;
after data normalization is carried out on the training set, the test set and the check set, training, testing and checking are carried out on the deep convolutional neural network model, and the deep convolutional neural network model which is trained is marked 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 within 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 synergistic effect of a composite array sensor, each item of data is uploaded to a cloud platform through a transmission module, the cloud platform carries out real-time online correction on the data through a pre-loaded environment modeling and simulation system, the obtained alcohol correction value is in a corresponding relation with the alcohol content in a human body, and the drinking state and the drinking degree of personnel in the vehicle can be 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 a vehicle after equipment is started, and if no person exists in the vehicle, other functional module assemblies are automatically closed; if a person exists in the vehicle, automatically linking and starting other functional module components, wherein the alcohol module is used for detecting an alcohol original value in the vehicle, the smoke module is used for detecting smoke concentration in the vehicle, and the cloud platform is used for performing approximate linear proportion correction on the alcohol original value according to the direct proportion relation between the smoke concentration and the CO concentration to obtain an interference gas correction value; the wind speed module is used for collecting air characteristic data in the vehicle, the cloud platform is used for modeling and simulating air flow in the vehicle, integrating factors such as internal and external circulation of an air conditioner in the vehicle, windowing and the like, clearing synergistic effects of multiple variables, determining an optimal alcohol concentration correction model on the basis of an interference gas correction value, inputting the air characteristic data and the interference gas correction value into the alcohol concentration correction model to obtain an alcohol correction value, and if the alcohol correction value is larger than an alcohol threshold value, the audible and visual alarm gives an alarm;
when the audible and visual alarm gives an alarm, the image acquisition module starts the camera in a linkage manner to capture and obtain evidence in the vehicle, the captured image and positioning data built in the internet of things are uploaded to the cloud platform together to be filed as a basis for subsequent drunken driving qualitative punishment, and the cloud platform is also used for sending a reminding short message to the associated mobile terminal to remind a manager of the mobile terminal of the current vehicle-mounted personnel to drink and take corresponding measures in time to avoid safety accidents.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A drunken driving prevention alarm system based on a 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;
after the system is powered on, the infrared module is used for sensing whether a person exists in the vehicle or not; when people are in the vehicle, the alcohol module is used for detecting the original value of alcohol in the vehicle and uploading the original value of alcohol 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 acquiring 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 the alcohol according to the direct proportion relation between the smoke concentration and the CO concentration to obtain a corrected value of the interference gas; 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 an alarm after receiving the abnormal alarm signal and transmits the abnormal alarm signal to the image acquisition module; and responding to the received abnormal alarm signal, the image acquisition module starts the camera in a linkage manner to capture the inside of the vehicle for evidence collection, and uploads the captured image and positioning data built in the Internet of things card to the cloud platform for archiving as a basis for subsequent drunk driving qualitative punishment.
2. The drunk driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the cloud platform is further configured to determine an optimal alcohol concentration correction model on the basis of an interference gas correction value by modeling and simulating air flow in the vehicle, integrating air characteristic data in the vehicle, wherein the alcohol concentration correction model is constructed through an RBF neural network or a deep convolution neural network, and the concrete construction steps are as follows:
acquiring standard training data; the standard training data comprise historical air characteristic data, interference gas correction values and corresponding alcohol correction values, wherein the alcohol correction values in the standard training data are obtained manually through detection of an alcohol detector;
constructing a deep convolutional neural network model, and dividing standard training data into a training set, a test set and a check set according to a set proportion; the set ratio comprises 2:1:1, 3:1:1 and 4:3: 1;
and after the training set, the test set and the check set are subjected to data normalization, training, testing and checking the deep convolutional neural network model, and marking the trained deep convolutional neural network model as an alcohol concentration correction model.
3. The drunk driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the infrared module comprises an infrared sensor, and the infrared sensor is used for sensing whether a person is in the vehicle; if no person exists in the vehicle, other functional module components are automatically closed; if the vehicle is occupied, the other functional module components are automatically linked to start to cooperatively detect.
4. The drunk driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the alcohol correction value corresponds to the alcohol content in the human body, and is used for determining the drinking state and drinking degree of people in the vehicle.
5. The drunk-driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the alcohol module comprises an electrochemical alcohol sensor; the smoke module comprises 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.
6. The drunk-driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the air characteristic data comprises air flow speed, air conditioner inside and outside circulation inside the vehicle and whether to open the window.
7. The drunk driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein the transmission module is connected with the cloud platform in a distributed manner through nodes of the internet of things.
8. The drunk driving prevention and alarm system based on the composite array sensor as claimed in claim 1, wherein when an abnormal alarm signal is generated, the cloud platform is further configured to send a reminding short message to the associated mobile terminal to remind a manager of the mobile terminal of the current vehicle driver of drunk driving, so that corresponding measures can be taken timely and safety accidents are avoided.
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