CN120084989A

CN120084989A - Method, device, equipment and storage medium for detecting alcohol concentration of vehicle alcohol lock

Info

Publication number: CN120084989A
Application number: CN202411664766.XA
Authority: CN
Inventors: 洪志强; 占锐; 黄浩伟; 高虹; 刘丹丹
Original assignee: Dongfeng Motor Group Co Ltd
Current assignee: Dongfeng Motor Group Co Ltd
Priority date: 2024-11-20
Filing date: 2024-11-20
Publication date: 2025-06-03

Abstract

The present application relates to the field of alcohol detection, and discloses a method, device, equipment and storage medium for detecting alcohol concentration in a vehicle alcohol lock, the method comprising: detecting the alcohol concentration in the driver's body at different times after drinking; fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time; providing the time for the driver to wait for legal and safe driving according to the comparison curve of the alcohol concentration and the detection time. The present application aims to solve the problem that the existing detection technology has low accuracy in detecting alcohol concentration due to the difference between drinking time and detection time. The method of the present application predicts the alcohol concentration and time of the driver's breath through data collection and feature analysis, combined with the absorption route of alcohol in the human body, and gives suggestions on when the driver can drive safely.

Description

Method, device, equipment and storage medium for detecting alcohol concentration of alcohol lock of vehicle

Technical Field

The application relates to the technical field of alcohol detection, in particular to a method, a device, equipment and a storage medium for detecting alcohol concentration of an alcohol lock of a vehicle.

Background

Alcohol locking devices have resulted from accident frequency and regulatory limitation requirements. Whether the driver is authorized to start the vehicle is determined by detecting whether the driver drinks or not, so that drunk driving is technically avoided. The real-time detection of alcohol concentration in the body of a driver comprises two modes, namely, detection of alcohol concentration of gas exhaled by a human body, conversion into alcohol concentration in blood and blood drawing and measurement of alcohol concentration in blood. The expiration detection mode is simpler, and detection is easier to realize at the vehicle end. There are vehicles at home and abroad equipped with alcohol lock device, alcohol detection is carried out by two modes of expiration detection and blood detection, when expiration detection is carried out, alcohol can be absorbed in stomach and small intestine after drinking from oral cavity for about 5 minutes, the unabsorbed part can be diffused into blood for about 10 minutes, and alcohol can reach lung, kidney and liver for about 30 minutes. Alcohol reaching the lungs is about 5% and can be expelled through the respiratory tract. Meanwhile, more than 80% of alcohol is metabolized in liver, which mainly comprises the following 3 steps of converting alcohol into acetaldehyde under the action of alcohol dehydrogenase, converting acetaldehyde into acetic acid under the action of acetaldehyde dehydrogenase, converting acetic acid into carbon dioxide and water through biochemical reaction of tricarboxylic acid circulation, and excreting the water. After about 12 hours, most of the alcohol in the body is metabolized, and the alcohol concentration in the blood is greatly reduced. The alcohol concentration in the blood of the person is obtained by detecting the alcohol concentration of the exhaled air of the person and converting the detected alcohol concentration by a coefficient. However, this may lead to the driver performing alcohol concentration detection at different times after drinking, and different results of alcohol detection may occur. How to establish the relation between the expiration detection and the blood detection in different time periods and in combination with the actual scenario is a very important innovation point.

Disclosure of Invention

The application mainly aims to provide a method, a device, equipment and a storage medium for detecting alcohol concentration of an alcohol lock of a vehicle, and aims to solve the problem that the alcohol concentration detection precision is low due to different drinking time and detection time in the prior detection technology.

In order to achieve the above object, the present application provides a method for detecting alcohol concentration of alcohol lock of a vehicle, the method for detecting alcohol concentration of alcohol lock of a vehicle comprising:

detecting alcohol concentration in a driver at different moments after drinking;

Fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time;

And providing the time for the driver to wait for legal safe driving according to the comparison curve of the alcohol concentration and the detection time.

In one embodiment, the step of detecting alcohol concentration in the driver at different moments after drinking further comprises:

Determining a point in time when the driver drinks;

detecting alcohol concentration of the driver for a plurality of times according to a preset detection time interval;

and obtaining the corresponding alcohol concentrations of the driver at different moments after drinking.

In an embodiment, the step of detecting the alcohol concentration of the driver multiple times according to a preset detection time interval further includes:

setting different detection time intervals, and detecting alcohol concentration expiration of the driver at different time intervals;

and detecting according to the expiration of the alcohol concentration at different time intervals, and recording the alcohol concentration corresponding to the detection time intervals.

In an embodiment, the step of fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time further includes:

Drawing a scatter diagram of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time;

Selecting a corresponding polynomial function to fit according to the trend of the alcohol concentration on the scatter diagram along with the change of the detection time;

And obtaining a comparison curve of the parameters of the fitting function, the alcohol concentration and the detection time according to the determined polynomial function.

In one embodiment, the step of obtaining a comparison curve of the parameters of the fitting function, the alcohol concentration and the detection time according to the determined polynomial function further comprises:

according to the polynomial function, calculating parameters of a fitting function;

drawing a comparison curve of the alcohol concentration and the detection time of the fitting function through the calculated parameters of the fitting function;

Comparing the control curve with the original detection data points, and evaluating the goodness of the control curve of the alcohol concentration and the detection time;

And obtaining a final optimized comparison curve of the alcohol concentration and the detection time according to the evaluated goodness of the comparison curve.

In an embodiment, the step of providing the time for the driver to wait for legal safe driving according to the comparison curve of the alcohol concentration and the detection time further includes:

calculating the time required for the alcohol concentration to fall below a legal alcohol concentration threshold according to the comparison curve of the alcohol concentration and the detection time;

providing the driver with time to wait for safe driving when it is determined that the alcohol concentration in the driver meets below a legal alcohol concentration threshold;

upon determining that the alcohol concentration in the driver's body meets a legal alcohol concentration threshold, a voice warning is made to the driver.

In one embodiment, before the step of detecting the alcohol concentration in the driver at different moments after drinking, the method further comprises:

Detecting the working state of the vehicle alcohol lock;

And when the working state of the vehicle alcohol lock is in a working state without fault indication, executing the step of detecting the alcohol concentration in the driver at different moments after drinking.

In addition, in order to achieve the aim, the application also provides a device for detecting the alcohol concentration of the vehicle alcohol lock, which comprises an alcohol detection module, a function fitting module and a time evaluation module;

the alcohol detection module is used for detecting the alcohol concentration in the driver at different times after drinking;

The function fitting module is used for fitting out a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time;

and the time evaluation module is used for providing the time for waiting for legal safe driving of the driver according to the comparison curve of the alcohol concentration and the detection time.

In addition, in order to achieve the aim, the application also provides a device for detecting the alcohol concentration of the vehicle alcohol lock, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the computer program is configured to realize the steps of the method for detecting the alcohol concentration of the vehicle alcohol lock.

In addition, in order to achieve the above object, the present application also proposes a computer storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for detecting alcohol concentration of a vehicle alcohol lock as described above.

The technical scheme provided by the application has the advantages that the method, the device, the equipment and the storage medium for detecting the alcohol concentration of the alcohol lock of the vehicle are disclosed, the method comprises the steps of detecting the alcohol concentration in a driver at different moments after drinking, fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time, and providing the time for the driver to wait for legal safe driving according to the comparison curve of the alcohol concentration and the detection time. The application aims to solve the problem of low alcohol concentration detection precision caused by different alcohol drinking time and detection time in the prior detection technology, and the method of the application adopts data acquisition and characteristic analysis, and the alcohol concentration and time of the blowing air of the driver are predicted by combining the condition of the absorption route of the alcohol in the human body, and advice of when the driver can safely drive is given. The advantage of this approach is that it provides a scientific, quantitative way to evaluate the driver's alcohol metabolism and give specific waiting time advice.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings are also obtained from the structures shown in these drawings without the need for inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a first embodiment of a method for detecting alcohol concentration in a vehicle alcohol lock according to the present application;

FIG. 2 is a flow chart of a second embodiment of a method for detecting alcohol concentration in a vehicle alcohol lock according to the present application;

FIG. 3 is a flow chart of a third embodiment of a method for detecting alcohol concentration in a vehicle alcohol lock according to the present application;

fig. 4 is a flowchart of a fourth embodiment of a method for detecting alcohol concentration in a vehicle alcohol lock according to the present application.

The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that, if directional indications (such as up, down, left, right, front, and rear are referred to in the embodiments of the present application), the directional indications are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture, and if the specific posture is changed, the directional indications are correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", or both, explicitly or implicitly includes at least one such feature. In addition, if "and/or" and/or "are used throughout, the meaning includes three parallel schemes, for example," a and/or B "including a scheme, or B scheme, or a scheme where a and B are satisfied simultaneously. In addition, the technical solutions of the embodiments are combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the protection scope of the present application.

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

With the increasing importance of traffic safety, the problem of drunk driving is becoming a widespread concern for society. In order to effectively inhibit drunk driving, the application provides an innovative alcohol concentration detection method, device and equipment for alcohol locks of vehicles and a storage medium. According to the method, the alcohol concentration in the body of the driver is detected in real time, and the alcohol drinking time is combined to fit a comparison curve of the alcohol concentration and the time, so that a time suggestion that the driver waits for legal safe driving is provided. The method not only improves the accuracy of drunk driving detection, but also provides scientific driving advice for drivers. The method mainly comprises the following steps of detecting expiration of a driver by using professional alcohol detection equipment so as to acquire the alcohol concentration in the body of the driver. At the same time, the specific point in time of drinking is determined by querying the driver or looking at the relevant monitoring record. And collecting detection results of alcohol concentration for a plurality of times, and recording the time of each detection. These data points are then fitted using mathematical or statistical methods (e.g., linear regression, non-linear regression, etc.) to form a curve of alcohol concentration over time. This curve can intuitively reflect the metabolic process of alcohol in the driver. A safe alcohol concentration threshold is determined based on legal or safety criteria. Finding a time point when the alcohol concentration falls below the threshold value on the fitted curve, and calculating a difference value from the current time to the time point, namely waiting time required by a driver.

High-precision and high-sensitivity alcohol detection equipment such as an expiration alcohol detector is selected. The driver is required to perform the exhaling operation according to the device specification, and the accuracy of the detection result is ensured. After each test, the alcohol concentration and test time were recorded into the system. The driver was asked about the specific point in time of drinking before the test and recorded. The time of drinking by the driver is recorded by the monitoring equipment so as to ensure the accuracy of the data. The pre-processed data points are fitted using mathematical or statistical methods to form a curve of alcohol concentration over time. The fitting method is selected according to the characteristics and requirements of the data, such as linear regression, nonlinear regression and the like. A point in time is found on the fitted curve when the alcohol concentration falls below the safety threshold. This point in time is obtained by interpolation or approximation, etc. And calculating the difference from the current time to the time point, namely the waiting time required by the driver. This time suggestion serves as a reference for the driver to drive legally and safely.

Suppose that a driver performs breath detection at 9 pm after drinking at 8 pm. The method is used for detection and calculation, and the following results are obtained:

The alcohol concentration detection result shows that the alcohol concentration in the driver body is 80mg/100mL at 9 o' clock detection.

Fitting a curve, namely obtaining a curve of the alcohol concentration changing along with time through multiple detection and fitting.

Searching time points, namely determining that the safe alcohol concentration threshold value is 20mg/100mL according to legal standards. The time point when the alcohol concentration fell below 20mg/100mL was found on the fitted curve and was 11 pm for 30 minutes.

Waiting time is calculated, namely from 9 pm to 11 pm for 30min, and the driver needs to wait 2 hours and 30min to drive legally and safely.

The method combines the absorption and metabolism processes of alcohol in human body through data acquisition and characteristic analysis, and provides scientific driving advice for drivers. The metabolism of alcohol in the body of the driver is intuitively seen by fitting a comparison curve of alcohol concentration and time. Meanwhile, specific quantitative suggestions are provided for the driver through calculating the waiting time. The alcohol detection equipment with high precision and high sensitivity is used, and the accuracy and reliability of drunk driving detection are improved by combining multiple detection and fitting methods. The method is not only suitable for the vehicle alcohol lock system, but also provides basis and reference for drunk driving detection for traffic management departments.

Referring to fig. 1, the method for detecting alcohol concentration of a vehicle alcohol lock according to the first embodiment includes steps S10 to S30:

step S10, detecting alcohol concentration in a driver at different times after drinking;

Step S20, fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time;

and step S30, providing time for waiting for legal safe driving by the driver according to the comparison curve of the alcohol concentration and the detection time.

It should be noted that drunk driving has become a social problem to be solved urgently. In order to effectively inhibit drunk driving and ensure safety and smoothness of road traffic, the application provides an innovative alcohol concentration detection method for an alcohol lock of a vehicle. The method provides scientific driving advice for the driver by detecting the alcohol concentration in the driver in real time and combining the drinking time of the driver, thereby avoiding drunk driving. The following is a detailed description of the above steps:

And S10, detecting the alcohol concentration in the body of the driver. In step S10, the driver first needs to be subjected to breath detection using a professional alcohol detection apparatus to acquire the alcohol concentration in his body. This step is the basis of the subsequent analysis and is also an important basis for determining whether the driver drinks and the amount of drinking. The high-precision and high-sensitivity expired air alcohol detector is selected, and the device usually adopts an electrochemical sensor or an infrared spectrum technology, so that the alcohol content in expired air of a driver can be rapidly and accurately detected. Before use, the alcohol detector is calibrated, so that the accuracy of the measurement result is ensured. Calibration typically includes zero calibration and span calibration to eliminate equipment errors and drift. The driver is required to perform an exhaling operation according to the device specification. Typically, after a driver needs a deep breath, he points his mouth at the exhalation port on the device and exhales smoothly for several seconds. The device will automatically record the detected alcohol concentration and display it on the screen. Meanwhile, the detection data can be stored in a storage medium of the device for subsequent analysis.

While obtaining the alcohol concentration in the driver, we also need to estimate the point in time of his alcohol consumption by asking the driver or looking at the relevant monitoring records. This step is critical for the subsequent calculation of when the driver can resume legal driving. Before or during the test, the driver is directly asked about the specific point in time of drinking. This typically requires driver coordination to provide accurate drinking time information. And recording the drinking time provided by the driver, and checking with the subsequent detection result to ensure the accuracy of the data. The time of driver drinking is recorded by monitoring devices (e.g., cameras, door access systems, etc.), if possible. This serves as an aid to improve the accuracy of the point in time of drinking. And integrating the monitoring record with information provided by the driver to form complete drinking time data.

And step S20, fitting a comparison curve of the alcohol concentration and the detection time according to the collected detection data. In step S20, it is necessary to collect the results of the detection of alcohol concentration a plurality of times and record the time of each detection. These data are then preprocessed to improve the accuracy of the fit. In the driver breath detection process, a plurality of detections are made, and the time point and alcohol concentration of each detection are recorded. This reflects the metabolic process of alcohol in the driver. The results and time points of each detection are recorded to form a complete detection data set. Duplicate, invalid, or outlier data points are removed, ensuring accuracy and reliability of the data set. And (3) carrying out normalization processing on the alcohol concentration data to ensure that the alcohol concentration data are in the same order of magnitude, so that the subsequent analysis is convenient. The detection data are sorted in time sequence so as to observe the trend of the alcohol concentration with time. After the pretreatment of the data is completed, the pretreated data points need to be fitted by using a mathematical or statistical method to form a comparison curve of the change of the alcohol concentration along with the time.

If the alcohol concentration changes with time to show a linear trend, a linear regression method is selected for fitting. Linear regression is able to find an optimal straight line so that the distance of the data point to the straight line (i.e. the residual) is minimized. If the alcohol concentration varies with time to exhibit a non-linear trend (e.g., exponential decay, logarithmic growth, etc.), a non-linear regression method needs to be selected for fitting. Nonlinear regression can find an optimal curve so that the distance of the data point to the curve is minimized. In addition to linear regression and nonlinear regression, other fitting methods, such as polynomial regression, support vector regression, etc., are also selected. The choice of these methods depends on the nature of the data and the requirements of the fit. And establishing a corresponding mathematical model according to the selected fitting method. And solving parameters in the model through optimization algorithms such as a least square method, a gradient descent method and the like. These parameters determine the shape and location of the fitted curve. Substituting the solved parameters into a model, and drawing a comparison curve of the alcohol concentration changing along with time. This curve can intuitively reflect the metabolic process of alcohol in the driver.

And step S30, providing time for the driver to wait for legal safe driving according to the comparison curve of the alcohol concentration and the drinking time. In step S30, a safe alcohol concentration threshold is determined according to legal or safety standards. This threshold is typically the upper limit of the alcohol concentration in the driver, beyond which it is considered drunk driving. The safe alcohol concentration threshold is determined with reference to national relevant laws and regulations, such as road traffic safety laws and the like. These regulations generally dictate the highest limit of alcohol content in the driver's body. And (3) referencing international drunk driving standards, such as drunk driving thresholds recommended by World Health Organization (WHO) and the like. These criteria provide a reference for determining the safety threshold. The reasonable safety threshold is determined by considering physiological characteristics of a driver, such as age, sex, weight and the like, and factors such as the metabolic rate of alcohol in the body. The stricter safety threshold is determined by considering the influence of environmental factors such as road conditions, traffic flow, weather conditions and the like on driving safety.

After determining the safety threshold, we need to find the point in time at which the alcohol concentration falls below this threshold on the fitted curve. This point in time is obtained by interpolation or approximation, etc. If the fitted curve is linear or approximately linear, a linear interpolation method is used. A new data point is inserted between the known data points such that the alcohol concentration of the new data point is equal to the safety threshold. Then, a time point is determined from the position of the interpolation point. If the fitted curve is non-linear, a non-linear interpolation method needs to be used. For example, using spline interpolation, lagrangian interpolation, etc., new data points are inserted between known data points and an interpolation point is found where the alcohol concentration is equal to the safety threshold. The numerical approximation method (such as Newton iteration method, chord cut method and the like) solves the time point that the alcohol concentration is equal to the safety threshold. These methods approach the true solution step by step through iterative computations. If the fitted curve has some form of resolution (e.g., exponential decay, logarithmic growth, etc.), then the time points are solved using a analytical approximation method. For example, the time point t is found by solving the equation "y (t) =threshold". After finding the point in time when the alcohol concentration falls below the safety threshold, we need to calculate the difference from the current time to this point in time, i.e. the time that the driver needs to wait. This time suggestion serves as a reference for the driver to drive legally and safely. The current time at the time of detection is recorded, typically using a high precision time stamp. The difference from the current time to the point in time at which the alcohol concentration falls below the safety threshold is calculated. This time difference is the time that the driver needs to wait. And displaying the calculated waiting time on equipment or outputting the calculated waiting time to a related system for viewing by drivers and management staff. And according to the waiting time, corresponding driving advice or prompt is given. For example, if the waiting time is long, the driver is reminded to rest nearby or seek help, and if the waiting time is short, the driver is reminded to drive after the safety threshold is reached.

In the second embodiment of the present application, the same or similar content as the first embodiment is referred to the above description, and will not be repeated. Referring to fig. 2, in this embodiment, the step of detecting the alcohol concentration in the driver at different moments after drinking further includes:

Step S11, determining the drinking time point of the driver;

step S12, detecting the alcohol concentration of the driver for a plurality of times according to a preset detection time interval;

And step S13, obtaining the corresponding alcohol concentrations of the driver at different moments after drinking.

Specifically, in the present embodiment, the detection of the alcohol concentration in the driver's body is mainly completed, and the point of time when the driver drinks the alcohol is obtained. The following is a detailed description of the above steps:

And S11, determining the current drinking time of the driver. Determining the time that the driver is currently drinking is critical to later calculating when the driver can resume legal driving. Because the metabolic rate of alcohol in the human body is limited, the alcohol concentration in the driver's body gradually decreases over time. Thus, knowing the point in time when the driver is drinking helps us to more accurately determine when the driver can resume a legitimate driving state. Before or after expiration detection, the point in time at which the driver drinks is obtained by means of a verbal query. This requires coordination and honest answers by the driver. If a monitoring device is installed in the vehicle or nearby area, the point in time at which the driver drinks is determined by looking at the monitoring record. This is generally applicable to public places or parking areas. According to the alcohol concentration value detected by expiration, the time range of drinking by a driver is approximately calculated by combining the metabolic rule of alcohol in a human body. This method requires a certain expertise and experience. The determined drinking time point is recorded and stored in a related database or file. This serves as a basis for subsequent analysis, comparison and querying. Meanwhile, the method is also used as one of evidences for punishing drunk driving behaviors by traffic management departments.

And S12, detecting the alcohol concentration of the driver through expiration. Breath detection is a common method of detecting alcohol concentration in a driver. The principle is that alcohol concentration in a human body is calculated by detecting alcohol content in gas exhaled by a driver by utilizing the metabolic process of alcohol in the human body. The method has the advantages of non-invasiveness, simple operation, rapidness, accuracy and the like. Exhalation detection devices typically employ high precision instruments such as electrochemical sensors or infrared spectrometers. These devices are capable of accurately measuring the alcohol content of the driver's exhaled breath and converting it to a specific alcohol concentration value. Ensuring that the expiration detecting device is in a normal working state, checking whether the device is calibrated or not and whether vulnerable parts such as a sensor and the like need to be replaced or not. The driver is required to perform an exhaling operation according to the device specification. Typically, after a driver needs a deep breath, he points his mouth at the exhalation port on the device and exhales smoothly for several seconds. The device will automatically record the detected alcohol concentration and display it on the screen. The detected alcohol concentration value is recorded and used as basic data for subsequent analysis. Meanwhile, the detection data are saved in a storage medium of the device for subsequent inquiry and comparison.

And S13, acquiring information of alcohol concentration through an alcohol lock alcohol concentration detection device of the vehicle. The vehicle alcohol lock is an intelligent device arranged on a vehicle, can monitor the alcohol concentration in a driver in real time, and controls the starting and flameout of the vehicle according to a set threshold value. When the alcohol concentration in the driver exceeds the set threshold value, the vehicle alcohol lock automatically locks the vehicle to prevent the driver from driving after drinking. Alcohol concentration detection devices in vehicle alcohol locks generally employ principles and techniques similar to those of exhalation detection devices. The method can monitor the alcohol content in the gas exhaled by the driver in real time and convert the alcohol content into a specific alcohol concentration value. Meanwhile, the device can also transmit the detected alcohol concentration information to a control unit of the vehicle alcohol lock so as to carry out subsequent judgment and processing. The alcohol concentration detection device of the vehicle alcohol lock is connected with the control unit of the vehicle alcohol lock, so that the information can be transmitted normally. When the driver enters the vehicle and is ready to start the vehicle, the vehicle alcohol lock automatically starts the alcohol concentration detection device to perform expiration detection. The alcohol concentration detection device transmits the detected alcohol concentration information to a control unit of the vehicle alcohol lock, and the control unit displays the information on a screen and stores the information in a storage medium.

Further, in this embodiment, step S12, the step of detecting the alcohol concentration of the driver multiple times according to a preset detection time interval, further includes:

In particular, in the present embodiment, it is important to accurately acquire alcohol concentration information in the driver. The method not only can provide timely driving advice for drivers and prevent drunk driving accidents, but also can provide powerful supervision data for traffic management departments. The following is a detailed description of the above steps:

In order to evaluate the alcohol concentration in the driver more accurately, it is necessary to perform a plurality of tests after drinking to observe the trend of the alcohol concentration. The first alcohol concentration detection is performed immediately after the driver drinks the wine. This serves as a reference value for comparison of the subsequent detection results. And setting reasonable detection interval time according to the metabolism speed of alcohol in human body. For example, multiple tests are performed at time points of 1 hour, 2 hours, 3 hours, etc. after drinking. The specific interval time setting should be adjusted according to the actual situation and experimental data. The alcohol concentration detection should be continued until the driver is ready to drive, to ensure that the alcohol concentration in his body has fallen within a safe range. Using an expiration detecting device built in a vehicle alcohol lock, a driver is required to perform an expiration operation according to an instruction to acquire the alcohol concentration in his body. In some cases, in order to more accurately assess alcohol concentration in the driver's body, it may be necessary to collect a blood sample thereof for detection. However, this method is generally cumbersome and requires a professional's operation, and thus is less useful in practical applications. With the development of technology, more advanced alcohol concentration detection methods, such as skin contact detection, sweat detection, etc., may be developed in the future. These methods may have greater accuracy and convenience and are worthy of further research and exploration. And recording the alcohol concentration value detected each time, and marking the corresponding detection time point. This forms a time series data set for subsequent analysis and comparison. By analyzing these data, the trend of the change in alcohol concentration in the driver and the effect of different time points on alcohol metabolism are known.

Recording the corresponding time points for each alcohol concentration test is critical for subsequent analysis. It helps us to know more accurately the metabolic rate of alcohol in the human body and the effect of different time points on alcohol concentration. In addition, the time point data is also used as one of the basis for punishment of drunk driving behaviors by traffic management departments. The detection device built in the alcohol lock of the vehicle is generally provided with an automatic recording function, and corresponding time points are automatically recorded when each detection is performed. This ensures accuracy and consistency of the data. In some cases, it may be necessary to manually record the detection time point. This is achieved by setting a timer on the detection device or using other recording means. However, manual recording may increase the risk of data errors, and thus requires special care and caution. In order to ensure consistency and accuracy of the data, the detection data of the vehicle alcohol lock is synchronized to a cloud or other data storage device. In this way, the integrity and traceability of the data is ensured even if the detection is performed at a different device or location. And (3) analyzing the alcohol concentration data at different time points to know the change trend of the alcohol concentration in the body of the driver. This helps to determine when the driver can resume the legal driving state. And (3) carrying out behavior prediction by utilizing the time point data in combination with drinking habit and driving behavior data of the driver. For example, it is predicted how long after drinking the driver may try to drive the vehicle, so that intervention and reminding are performed in advance. Powerful data support is provided for traffic authorities by analyzing alcohol concentration and time point data for a large number of drivers. This helps to formulate a more scientific and more reasonable drunk driving supervision policy. Before the alcohol concentration detection is performed, the accuracy and reliability of the detection device should be ensured. This is achieved by means of periodic calibration of the device, the use of high precision sensors, etc. In collecting and processing the alcohol concentration and time point data of the driver, related laws and regulations and privacy policies should be strictly adhered to. The security and confidentiality of data are ensured, and leakage to unauthorized third parties is avoided.

In the third embodiment of the present application, the same or similar contents as those of the first and second embodiments are referred to above for description, and will not be repeated. On this basis, please refer to fig. 3. In this embodiment, in step S20, the step of fitting a comparison curve of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time further includes:

Step S21, drawing a scatter diagram of the alcohol concentration and the detection time according to the alcohol concentration and the corresponding detection time;

Step S22, selecting a corresponding polynomial function for fitting according to the trend of the alcohol concentration on the scatter diagram along with the change of the detection time;

and step S23, obtaining a comparison curve of the parameters of the fitting function, the alcohol concentration and the detection time according to the determined polynomial function.

Specifically, in the present embodiment, fitting a comparison curve of alcohol concentration and detection time is a key step in the process of alcohol concentration detection and analysis. This step aims at mathematically relating the actual detected alcohol concentration data to the corresponding detection time, thereby revealing the law of the change of alcohol concentration with time. The following is a detailed description of the above steps:

And S21, drawing a scatter diagram of alcohol concentration and detection time. A scatter plot is an intuitive way of showing the relationship between two variables. In step S21, we need to draw a scatter diagram of alcohol concentration and detection time based on the collected detection data. And (3) sorting the collected detection data according to a time sequence, and ensuring that each time point has a corresponding alcohol concentration value. Suitable drawing tools are selected according to actual needs, such as Excel, matplotlib library of Python and the like. Importing the arranged data into a drawing tool, selecting a scatter diagram as a drawing type, and setting a proper coordinate axis label and a proper title. The pattern of the scatter plot, such as the color, size, shape, etc., of the dots is adjusted as needed to more clearly show the relationship between the data. By means of a scatter plot we intuitively observe the trend of the change between alcohol concentration and detection time. If the scattered points show obvious linear or nonlinear relations, the change trend of the alcohol concentration along with time is preliminarily judged. In addition, the scatter plot also helps us identify outliers or noise in the data, providing a reference for subsequent data processing and analysis.

And S22, selecting a corresponding polynomial function to fit. In step S22, we need to select the corresponding polynomial function to fit according to the trend of alcohol concentration over the detection time. Polynomial functions are a common fitting method that can flexibly describe complex relationships between variables. First, the scatter diagram created in step S21 is observed, and the approximate relationship between the alcohol concentration and the detection time is determined. If the scattered points show obvious linear relation, a first order polynomial (i.e. linear function) is selected for fitting, and if the scattered points show nonlinear relation, a higher order polynomial is needed for fitting. In choosing the polynomial degree, the fitting accuracy needs to be balanced against the risk of overfitting. Generally, the higher the polynomial degree, the higher the fitting accuracy, but the greater the risk of overfitting. Therefore, we need to determine the appropriate polynomial degree according to the actual situation of the data and the fitting requirements. And selecting a corresponding polynomial function to fit according to the determined polynomial degree. For example, if a quadratic polynomial is selected, the functional form is y=ax ² +bx+c, if a cubic polynomial is selected, the functional form is y=ax ³+bx² +cx+d, and so on. After the polynomial function is selected, we need to use a suitable fitting method to determine the parameters of the function. Common fitting methods include least squares, weighted least squares, and the like. These methods solve for parameters of the function by minimizing the error between the fitted curve and the actual data.

And S23, obtaining parameters of the fitting function and a comparison curve. In step S23, we will obtain parameters of the fitting function and a comparison curve of alcohol concentration and detection time according to the determined polynomial function and fitting method. According to the selected fitting method, a fitting objective function (e.g., least squares objective function) is set. And solving the minimum value of the objective function by using an optimization algorithm (such as a gradient descent method, a Newton method and the like), thereby obtaining the parameter value of the polynomial function. The accuracy of the parameters is verified by comparing the error between the fitted curve and the actual data. If the error is within the acceptable range, the parameter solving is successful, otherwise, the polynomial degree or the fitting method needs to be readjusted. After obtaining the parameters of the fitting function, we used these parameters to draw a control curve of alcohol concentration versus detection time. As in step S21, a suitable drawing tool is selected for drawing. Substituting the parameters of the fitting function into the polynomial function to obtain the predicted value of the alcohol concentration at different time points. These predictions are then plotted against the curve along with the actual detection time. The pattern of the control curve, such as the color, thickness, markings, etc. of the line is adjusted as needed to more clearly show the fitting result. The control curve can intuitively display the change rule of the alcohol concentration along with time, and provides important basis for subsequent alcohol metabolism analysis, drunk driving risk assessment and the like. By comparing the curves, key information such as the metabolism speed, half-life period and the like of alcohol in the body is known, so that a more reasonable drinking plan and drunk driving preventive measures are formulated.

Further, in this embodiment, step S23, the step of obtaining a comparison curve of the parameter of the fitting function, the alcohol concentration and the detection time according to the determined polynomial function further includes:

Specifically, in the present embodiment, in order to more accurately evaluate the trend of the alcohol concentration in the driver over time, we generally use a polynomial function for fitting. Step S23 is used as a key link of the whole detection flow, and aims to obtain parameters of a fitting function through a polynomial function and draw a comparison curve of alcohol concentration and detection time according to the parameters. At the same time, the comparison curve is also required to be compared with the original detection data points to evaluate the goodness of fit. The following is a detailed description of the above steps:

Polynomial functions are a commonly used fitting function that represents a complex relationship between a plurality of variables. In the detection of alcohol concentration of alcohol lock of a vehicle, a quadratic or cubic polynomial function is usually selected for fitting, and therefore the function can better reflect the trend of the alcohol concentration along with time, and the calculation amount is not excessively large due to excessive complexity. Prior to fitting, alcohol concentration detection data for different time points after drinking by the driver need to be prepared. The data should contain a plurality of detection time points and corresponding alcohol concentration values. In order to ensure the accuracy and reliability of the data, the accuracy and consistency of the detection device should be ensured, and a strict detection procedure should be followed. The parameters of the polynomial function are typically calculated by least squares or other optimization algorithms. These algorithms aim to find a set of parameters that minimize the error between the fitting function and the original data point. Specifically, the present invention relates to a method for manufacturing a semiconductor device. Drawing the control curve requires the assistance of specialized drawing tools or software. These tools typically provide rich drawing options and custom functions that allow the user to adjust the color, linearity, labeling, etc. properties of the curve as desired. Common drawing tools include the matplotlib library of Excel, MATLAB, python, and the like. Comparing the control curve to the original test data points is an important means of assessing the effect of the fit. In particular, we plot the raw data points beside or above the control curve in order to more intuitively observe the differences between the two. At the same time, error values, such as Mean Square Error (MSE), root Mean Square Error (RMSE), etc., between the fitting function and the original data points are also calculated to quantitatively evaluate the goodness of fit. By evaluating the fitting degree, accuracy and reliability of the curve, the over-fitting or under-fitting of the control curve is avoided.

The criteria for evaluating the goodness of the control curve mainly include the following:

The degree of fit is the proximity between the fitting function and the original data point. The higher the fitting degree is, the more accurately the fitting function can reflect the change trend of the original data points. The smaller the error value such as MSE, RMSE, etc., the smaller the difference between the fitting function and the original data point, the better the fitting effect. Accuracy refers to the degree of accuracy of a curve in describing a variable relationship or phenomenon. An accurate curve can truly reflect the inherent relationship between data. Accuracy is assessed by comparing the difference between the curve and the actual observations. A curve is accurate if it can accurately predict or interpret changes in the actual observed value. The visual effect of the control curve is also an important aspect of evaluating the goodness of fit, and a clear, intuitive and easy-to-understand control curve helps us better analyze the relationship and trend of change between data points. If the goodness of fit of the control curve is not ideal, the improvement and optimization is performed by adding more detection data points to improve the accuracy of the fitting function. This is achieved by extending the detection time, increasing the detection frequency, etc. If the current polynomial function does not fit the data points well, we try to select a higher or lower order polynomial function to fit. Other types of fitting functions are also contemplated. The optimization parameter calculation method improves the accuracy of the fitting function. For example, attempts are made to improve the goodness-of-fit using different optimization algorithms or parameter settings of the adjustment algorithm.

In the fourth embodiment of the present application, the first, second, and third embodiments are the same as or similar to the first, second, and third embodiments, and the description thereof is omitted herein. On this basis, please refer to fig. 4. In this embodiment, step S30, the step of providing the time for waiting for legal safe driving by the driver according to the comparison curve of the alcohol concentration and the detection time, further includes:

step S31, calculating the time required for the alcohol concentration to fall below a legal alcohol concentration threshold according to the comparison curve of the alcohol concentration and the detection time;

Step S32, providing the driver with the time waiting for safe driving when determining that the alcohol concentration in the driver meets the threshold value of the legal alcohol concentration;

And step S33, carrying out voice warning on the driver when the alcohol concentration in the driver body is determined to be higher than the legal alcohol concentration threshold.

Specifically, in the present embodiment, accurate assessment of alcohol concentration in the driver's body and its trend of change over time is critical to ensuring road traffic safety. After step S23 we obtain a comparison curve of alcohol concentration and time of drinking, which provides an important basis for the subsequent determination of when the driver is driving legally safe. The following is a detailed description of the above steps:

And S31, calculating the time required for the alcohol concentration to fall below the legal threshold according to the comparison curve. Before the time calculation is performed, it is first necessary to ascertain a legal alcohol concentration threshold. This threshold is typically specified by local laws and regulations for determining whether the driver is in a drunk driving state. For example, in many countries and regions, blood Alcohol Concentrations (BACs) up to or exceeding 0.08% are considered drunk driving. Therefore, in making the time calculation, legal alcohol concentration thresholds should be determined with reference to local legal regulations. After determining the legal alcohol concentration threshold, we need to calculate the required time using the comparison curve of alcohol concentration and drinking time obtained in step S23. Specifically, we found the corresponding time point when the alcohol concentration falls below the legal threshold from the control curve. Alcohol concentration data points corresponding to legal thresholds are extracted from the control curve. From the extracted data points, the time required from the onset of alcohol consumption to the point where the alcohol concentration falls below the legal threshold is calculated. To improve the accuracy and efficiency of time calculation, we use some optimization methods. For example, the control curve is processed more finely by interpolation algorithm or numerical analysis method, so as to obtain more accurate time point. In addition, the influence of factors such as individual difference of drivers, drinking type, drinking amount and the like on time calculation is considered, so that the accuracy of calculation is further improved.

Step S32, providing time for the driver to wait for safe driving. After calculating the time required for the alcohol concentration to fall below the legal threshold, we need to further determine the time for the driver to wait for safe driving. This time should generally be slightly longer than the calculated time required to ensure that the alcohol in the driver has been completely metabolized and that the driver has resumed a normal driving condition. After determining the safe driving time, we need to communicate this information to the driver. This is achieved by means of a display screen, voice prompts and the like of the vehicle alcohol lock system. In the transfer of information, the accuracy and clarity of the information should be ensured so that the driver can accurately understand and follow the relevant regulations. To ensure that the driver has understood and accepted the safe driving time information, we require feedback and confirmation from the driver. For example, the driver confirms that he or she has known and agreed to wait for safe driving time by pressing a confirmation button or voice reply, or the like. This step helps to enhance the driver's sense of responsibility and to follow prescribed awareness.

Step S33, voice warning is carried out on the driver. Before proceeding with a voice alert, we need to determine the condition that triggered the alert. Firstly, whether the alcohol concentration in the driver is higher than the legal alcohol concentration threshold, and secondly, whether the driver tries to start the vehicle before the safe driving time is not reached. If one of these two conditions is met, a voice warning should be triggered. The content of the voice warning should be simple and clear, and can quickly draw the attention of the driver and convey key information. For example, the warning content includes voice information such as "please note that the alcohol concentration in your body is still higher than the legal threshold, please start the vehicle after waiting for the safe driving time" or "you try to start the vehicle before the safe driving time is not reached, which is dangerous behavior, please stop immediately". To improve the effectiveness of the voice warning, we use some optimization approach. For example, the warning content is recorded as a clear, powerful voice prompt and played through the speaker of the vehicle alcohol lock system. In addition, it is also considered to add some emotional elements to the warning content, such as reminding the driver of life, observing traffic rules, etc., to enhance the convincing and infecting power of the warning.

Other embodiments or specific implementation manners of the method for detecting alcohol concentration of a vehicle alcohol lock according to the present application may refer to the above method embodiments, and will not be described herein.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.

The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application is essentially or partly contributing to the prior art embodied in the form of a software product stored in a storage medium (e.g. read-only memory/random access memory, magnetic disk, optical disk) comprising instructions for causing a terminal device (being a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims

1. A method for detecting alcohol concentration of a vehicle alcohol lock, the method comprising:

2. The method of claim 1, wherein the step of detecting alcohol concentration in the driver at different moments after drinking further comprises:

Determining a point in time when the driver drinks;

3. The method according to claim 2, wherein the step of detecting the alcohol concentration of the driver a plurality of times according to a preset detection time interval further comprises:

4. The method of claim 3, wherein said step of fitting a comparison curve of said alcohol concentration and detection time based on said alcohol concentration and corresponding detection time further comprises:

5. The method of claim 4, wherein the step of obtaining a comparison curve of the parameters of the fitting function, the alcohol concentration, and the detection time from the determined polynomial function further comprises:

6. The method of claim 5, wherein the step of providing the driver with a time to wait for a legally safe drive based on the comparison of alcohol concentration and detection time further comprises:

7. The method of claim 6, wherein prior to the step of detecting alcohol concentration in the driver at different moments after drinking, further comprising:

Detecting the working state of the vehicle alcohol lock;

8. The device for detecting the alcohol concentration of the vehicle alcohol lock is characterized by comprising an alcohol detection module, a function fitting module and a time evaluation module;

9. An apparatus for vehicle alcohol lock alcohol concentration detection, characterized in that the apparatus for vehicle alcohol lock alcohol concentration detection comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which computer program, when being executed by the processor, implements the steps of the method for vehicle alcohol lock alcohol concentration detection according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method for alcohol concentration detection of a vehicle alcohol lock according to any one of claims 1 to 7.