WO2022134780A1 - Method, apparatus and device for monitoring drunk-driving vehicle, and storage medium - Google Patents

Abstract

A method, apparatus and device (500) for monitoring a drunk-driving vehicle, and a storage medium, which are applicable to the field of smart traffic, and are used for monitoring a drunk-driving vehicle in real time, and keeping surrounding vehicles within a safe range by means of an early warning light wave and a vehicle following system. The method for monitoring a drunk-driving vehicle comprises: invoking a gas-sensitive recognizer to identify gas exhaled by a driver, and generating drunk-driving early warning information; invoking a face recognizer to monitor the state of the driver in real time, generating basic state information, and analyzing the basic state information on the basis of a preset drowsy determination rule to obtain fatigue driving information; generating an early warning prompt on the basis of the drunk-driving early warning information and the fatigue driving information, starting a vehicle following system of a surrounding vehicle, and performing real-time tracking monitoring on the surrounding vehicle; and performing real-time detection on a driving state of the drunk-driving vehicle to generate vehicle state information.

Description

Monitoring method, device, equipment and storage medium for drunk driving vehicle

This application claims the priority of the Chinese patent application filed on December 23, 2020 with the application number 202011538772.2 and the invention titled "Monitoring Method, Device, Equipment and Storage Medium for Drunk Driving Vehicles", the entire contents of which are by reference incorporated in the application.

technical field

The present application relates to the field of state monitoring, and in particular, to a monitoring method, device, device and storage medium for a drunk driving vehicle.

Background technique

With the continuous increase in the number of cars per capita, the number of traffic accidents caused by drunk driving and fatigue driving is increasing, resulting in traffic congestion and a large number of casualties and property losses. negative social impact.

The inventor realized that the existing solution only sets up checkpoints in fixed places to check for drunk driving incidents, which cannot achieve real-time monitoring and reminders, and cannot activate early warning reminders for surrounding vehicles after a drunk driving vehicle is detected.

SUMMARY OF THE INVENTION

The present application provides a method, device, equipment and storage medium for monitoring drunk driving vehicles, which are used for real-time monitoring of drunk driving vehicles, and keep surrounding vehicles within a safe range through early warning light waves and a vehicle following system, thereby improving monitoring efficiency and improving performance. safety and reduce the occurrence of traffic accidents.

A first aspect of the present application provides a monitoring method for a drunk driving vehicle, which is applied to a vehicle terminal, where the vehicle terminal includes a gas-sensitive identifier, a face identifier, an early warning prompt transmitter, and a vehicle driving state detector. The monitoring method includes: calling the gas-sensitive identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information; calling the face recognition The device monitors the state of the driver in real time, generates basic state information, and analyzes the basic state information based on the preset sleepiness judgment rules to obtain fatigue driving information; based on the drunk driving warning information and the fatigue driving information Generate early warning prompts, the early warning prompts include driver early warning prompts and surrounding vehicles early warning prompts, call the early warning prompt transmitter to send the early warning prompts, and start the following system of the surrounding vehicles to track and monitor the surrounding vehicles in real time; According to the driver's warning prompt, the vehicle driving state detector is called to detect the driving state of the drunk driving vehicle in real time, and the vehicle state information is generated.

A second aspect of the present application provides a monitoring device for a drunk driving vehicle, applied to a vehicle terminal, comprising a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor, the processing When the device executes the computer-readable instructions, the following steps are implemented: calling the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating a drunk driving warning information; call the face recognizer to monitor the driver's state in real time, generate basic state information, and analyze the basic state information based on the preset sleepiness judgment rules to obtain fatigue driving information; based on the drunk driving The early warning information and the fatigue driving information generate an early warning prompt, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, the early warning prompt transmitter is called to send the early warning prompt, and the following system of the surrounding vehicles is activated, and the The surrounding vehicles are tracked and monitored in real time; based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time, and the vehicle state information is generated.

A third aspect of the present application provides a computer-readable storage medium, where computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on a computer, the computer is caused to perform the following steps: calling the gas sensor The recognizer recognizes the gas exhaled by the driver, generates an alcohol concentration parameter, judges whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generates drunk driving warning information; invokes the face recognizer to monitor the driver's state in real time, Generate basic state information, and analyze the basic state information based on the preset sleepiness judgment rule to obtain fatigue driving information; generate an early warning prompt based on the drunk driving early warning information and the fatigue driving information, and the early warning prompt includes driving based on the driver warning prompt and the surrounding vehicle warning prompt, call the early warning prompt transmitter to send the early warning prompt, and start the following system of the surrounding vehicles to track and monitor the surrounding vehicles in real time; based on the driver early warning prompt, call the The vehicle driving state detector detects the driving state of the drunk driving vehicle in real time, and generates vehicle state information.

A fourth aspect of the present application provides a monitoring device for a drunk driving vehicle, which is applied to a vehicle terminal. The vehicle terminal includes a preset gas-sensing recognizer, a face recognizer, an early warning prompt transmitter and a vehicle driving state detector. The monitoring device for a drunk driving vehicle includes: an identification module for invoking the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating a drunk driving warning information; the monitoring module is used to call the face recognizer to monitor the driver's state in real time, generate basic state information, and analyze the basic state information based on the preset sleepiness judgment rules to obtain fatigue driving information an early warning module, configured to generate an early warning prompt based on the drunk driving early warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, and the early warning prompt transmitter is called to send the early warning prompt, And start the following system of the surrounding vehicles to track and monitor the surrounding vehicles in real time; the generation module is used to call the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time based on the driver's warning prompt, and generate the vehicle state information.

In the technical solution provided by this application, the gas-sensing identifier is called to identify the gas exhaled by the driver, an alcohol concentration parameter is generated, and based on the alcohol concentration parameter, it is judged whether the alcohol concentration exceeds the standard, and the warning information for drunk driving is generated; The face recognizer monitors the state of the driver in real time, generates basic state information, and analyzes the basic state information based on preset sleepiness judgment rules to obtain fatigue driving information; based on the drunk driving warning information and the The fatigue driving information generates an early warning prompt, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, the early warning prompt transmitter is called to send the early warning prompt, and the following system of the surrounding vehicles is activated to track the surrounding vehicles in real time. Monitoring; based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time, and generate vehicle state information. In the embodiment of the present application, the drunk driving vehicle is monitored in real time, and the surrounding vehicles are kept within a safe range through the early warning light wave and the following system, which improves the monitoring efficiency and safety and reduces the occurrence of traffic accidents.

Description of drawings

1 is a schematic diagram of an embodiment of a monitoring method for a drunk driving vehicle in the embodiment of the application;

2 is a schematic diagram of another embodiment of the monitoring method for a drunk driving vehicle in the embodiment of the application;

3 is a schematic diagram of an embodiment of a monitoring device for a drunk driving vehicle in an embodiment of the application;

4 is a schematic diagram of another embodiment of a monitoring device for a drunk driving vehicle in an embodiment of the application;

FIG. 5 is a schematic diagram of an embodiment of a monitoring device for a drunk driving vehicle in an embodiment of the present application.

Detailed ways

The embodiments of the present application provide a monitoring method, device, equipment and storage medium for drunk driving vehicles, which are used for real-time monitoring of drunk driving vehicles, and keep surrounding vehicles within a safe range through early warning light waves and a vehicle following system, thereby improving monitoring Efficiency and safety, reducing the occurrence of traffic accidents.

The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed steps or units, but may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

For ease of understanding, the specific flow of the embodiment of the present application will be described below. Please refer to FIG. 1 . An embodiment of the monitoring method for a drunk driving vehicle in the embodiment of the present application includes:

101. Invoke a gas-sensing identifier to identify the gas exhaled by the driver, generate an alcohol concentration parameter, and determine whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generate drunk driving warning information.

The terminal calls the gas sensor to identify the gas exhaled by the driver, generates the alcohol concentration parameter, and judges whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generates the drunk driving warning information. Specifically, the terminal calls the gas-sensing identifier to identify the gas exhaled by the driver, obtains the alcohol concentration information, converts the alcohol concentration information into an electrical signal, and generates an alcohol concentration parameter according to the strength of the electrical signal; If the alcohol concentration parameter reaches the preset standard value, a drunk driving warning message will be generated. If the alcohol concentration parameter does not reach the preset standard value, the alcohol concentration parameter will be continuously monitored.

The gas sensor recognizes the gas exhaled by the driver, and initiates corresponding prevention and control measures according to the alcohol concentration parameter to ensure the safety of the driver and the surrounding vehicles. The gas sensor is a sensor that detects specific gases. The type of gas and its concentration-related information are converted into electrical signals. According to the strength of these electrical signals, information related to the existence of the gas to be measured in the environment can be obtained, so that detection, monitoring and alarm can be carried out. The interface circuit and the computer form an automatic detection, control and alarm system. The semiconductor gas sensor uses the oxidation and reduction reaction of the gas to be measured on the surface of the semiconductor to cause the resistance of the sensitive element to change to detect the type and concentration of the gas. When the semiconductor device is heated In a stable state, when the gas contacts the surface of the semiconductor and is adsorbed, the adsorbed molecules first diffuse freely on the surface and lose their kinetic energy. The work function of is greater than the dissociation energy of the adsorbed molecules, and the adsorbed molecules will release electrons to the device, thereby forming positive ion adsorption.

It can be understood that the execution subject of the present application may be a monitoring device for a drunk driving vehicle, or a terminal, which is not specifically limited here. The embodiments of the present application take a terminal as an execution subject as an example for description.

102. Invoke a face recognizer to monitor the state of the driver in real time, generate basic state information, and analyze the basic state information based on a preset drowsiness judgment rule to obtain fatigue driving information.

The terminal calls the face recognizer to monitor the driver's state in real time, generates basic state information, and analyzes the basic state information based on the preset sleepiness judgment rules to obtain fatigue driving information. Specifically, the terminal calls the face recognizer to collect the driver's facial movements and the driver's eye movements, and generates basic state information; the terminal evaluates the sleepiness degree of the basic state information according to the preset sleepiness degree judgment rules, If the drowsiness level reaches the preset drowsiness warning value, the fatigue driving information is generated, and if the drowsiness level does not reach the preset drowsiness warning value, the basic state information is continuously collected and analyzed.

In this embodiment, by analyzing and judging the driver's facial movement information and eyelid movement, an overall information of the driver's behavior is generated, which avoids the large error caused by the simple face recognition and pupil monitoring in the prior art. The defect of monitoring is high, and the driving safety of the driver is guaranteed. Specifically, the expression parameters of the driver are obtained through face recognition, and the movements of the driver's head moving up and down, the movements of trying to lift his face, and the movements of the left and right eyelids are monitored and analyzed in real time when the driver is drowsy. The drowsiness judgment rule determines whether the driver is in a dozing state. When each dozing time exceeds 10 seconds or dozing more than 3 times in a row, the drowsiness warning value is reached and the fatigue driving information is generated. Doze tracking monitoring and early warning prompts. At the same time, the terminal stores the head position information of the driver when driving the vehicle in a normal state. During the actual driving process, the driver's head position deviates from the normal position for a predetermined period of time, and an early warning prompt will also be issued. .

103. Generate early warning prompts based on drunk driving warning information and fatigue driving information. Early warning prompts include driver early warning prompts and surrounding vehicles early warning prompts. Call the early warning prompt transmitter to send early warning prompts, and start the following system of surrounding vehicles to conduct real-time monitoring of surrounding vehicles. Track monitoring.

The terminal generates early warning prompts based on drunk driving warning information and fatigue driving information. Early warning prompts include driver early warning prompts and surrounding vehicles early warning prompts. The early warning prompt transmitter is called to send early warning prompts, and the following system of surrounding vehicles is activated to track surrounding vehicles in real time. monitor.

After receiving the drunk driving warning information and fatigue driving information, the terminal immediately sends an early warning reminder through the warning reminder transmitter to remind the driver not to drive and drive the vehicle to a safe parking place, and continuously sends out a preset time alarm vibration to remind the drunk driving vehicle. Driver, when the driver of the drunk driving vehicle parks the vehicle in a safe area according to the warning prompt, the warning prompt stops, and at the same time, the drunk driving vehicle sends out early warning infrared light waves to the surrounding vehicles to give a warning prompt, and the infrared sensors on the surrounding vehicles receive the early warning light wave. Drivers in surrounding vehicles stay away from drunk driving vehicles, and at the same time turn on the follow-up system of surrounding vehicles to keep surrounding vehicles within a safe driving distance and speed range. Drivers of surrounding vehicles can also choose to overtake drunk driving vehicles and drive to a safe distance , infrared sensors are very common in mobile phones and other electronic products, which can improve image quality and face recognition capabilities. In this solution, by sending early warning infrared light waves, and receiving and identifying them through infrared sensors, drivers of surrounding vehicles can take timely measures. Defensive measures to improve the safety of vehicle driving.

104. Based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time, and the vehicle state information is generated.

Based on the driver's warning prompt, the terminal calls the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generates vehicle state information. Specifically, based on the driver's warning prompt, the terminal calls the vehicle driving state detector to monitor the driving state of the drunk driving vehicle in real time, and detects whether the drunk driving vehicle is in the starting state; if the preset driver warning prompt time is exceeded, the drunk driving vehicle is still in the driving state. In the startup state or when the drunk driving vehicle is not parked in a safe location, the terminal generates vehicle status information, which includes the license plate number, vehicle travel path, and vehicle real-time location. The terminal performs real-time positioning of the vehicle based on the global positioning system GPS, and stores the driving path of the vehicle in real time. After issuing a driver warning prompt, the terminal will monitor the driving status of the drunk driving vehicle in real time through the vehicle driving status detector. If the driver of the vehicle fails to stop in time or does not park the vehicle in a safe location after receiving the warning prompt, for example, stops the vehicle in place, or does not drive the vehicle to the side of the road safely, vehicle status information is generated.

In the embodiment of the present application, the drunk driving vehicle is monitored in real time, and the surrounding vehicles are kept within a safe range through the early warning light wave and the following system, which improves the monitoring efficiency and safety and reduces the occurrence of traffic accidents. This solution can be applied in the field of smart transportation to promote the construction of smart cities.

Please refer to FIG. 2, another embodiment of the monitoring method for a drunk driving vehicle in the embodiment of the present application includes:

201. Invoke a gas-sensing identifier to identify the gas exhaled by the driver, generate an alcohol concentration parameter, and determine whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generate drunk driving warning information.

The terminal calls the gas sensor to identify the gas exhaled by the driver, generates the alcohol concentration parameter, and judges whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generates the drunk driving warning information. Specifically, the terminal calls the gas-sensing identifier to identify the gas exhaled by the driver, obtains the alcohol concentration information, converts the alcohol concentration information into an electrical signal, and generates an alcohol concentration parameter according to the strength of the electrical signal; If the alcohol concentration parameter reaches the preset standard value, a drunk driving warning message will be generated. If the alcohol concentration parameter does not reach the preset standard value, the alcohol concentration parameter will be continuously monitored.

The gas sensor recognizes the gas exhaled by the driver, and initiates corresponding prevention and control measures according to the alcohol concentration parameter to ensure the safety of the driver and the surrounding vehicles. The gas sensor is a sensor that detects specific gases. The type of gas and its concentration-related information are converted into electrical signals. According to the strength of these electrical signals, information related to the existence of the gas to be measured in the environment can be obtained, so that detection, monitoring and alarm can be carried out. The interface circuit and the computer form an automatic detection, control and alarm system. The semiconductor gas sensor uses the oxidation and reduction reaction of the gas to be measured on the surface of the semiconductor to cause the resistance of the sensitive element to change to detect the type and concentration of the gas. When the semiconductor device is heated In a stable state, when the gas contacts the surface of the semiconductor and is adsorbed, the adsorbed molecules first diffuse freely on the surface and lose their kinetic energy. The work function of is greater than the dissociation energy of the adsorbed molecules, and the adsorbed molecules will release electrons to the device, thereby forming positive ion adsorption.

202. Invoke a face recognizer to monitor the state of the driver in real time, generate basic state information, and analyze the basic state information based on a preset drowsiness judgment rule to obtain fatigue driving information.

The terminal calls the face recognizer to monitor the driver's state in real time, generates basic state information, and analyzes the basic state information based on the preset sleepiness judgment rules to obtain fatigue driving information. Specifically, the terminal calls the face recognizer to collect the driver's facial movements and the driver's eye movements, and generates basic state information; the terminal evaluates the sleepiness degree of the basic state information according to the preset sleepiness degree judgment rules, If the drowsiness level reaches the preset drowsiness warning value, the fatigue driving information is generated, and if the drowsiness level does not reach the preset drowsiness warning value, the basic state information is continuously collected and analyzed.

In this embodiment, by analyzing and judging the driver's facial movement information and eyelid movement, an overall information of the driver's behavior is generated, which avoids the large error caused by the simple face recognition and pupil monitoring in the prior art. The monitoring accuracy rate is high, which ensures the driving safety of the driver. Specifically, the driver's expression parameters are obtained through face recognition, and the driver's head moving up and down when he is drowsy, trying to raise his face Real-time monitoring and analysis of the movements of the driver and the left and right eyelid movements, and judges whether the driver is dozing according to the preset sleepiness judgment rules. The drowsiness warning value and the fatigue driving information are generated, and the corresponding dozing tracking monitoring and early warning prompts are activated according to the recognition results. If the head position deviates from the normal position for a predetermined period of time, an early warning prompt will also be issued.

203. Acquire drunk driving warning information and fatigue driving information, and generate driver warning prompts, which include parking prompts and safe parking location prompts.

The terminal obtains drunk driving warning information and fatigue driving information, and generates driver warning prompts. Driver warning prompts include parking prompts and safe parking location prompts. After the terminal generates the driver's warning prompt, the early warning prompt transmitter continuously sends out the alarm vibration of the preset time to remind the driver to stop, and automatically detects whether the vehicle has been parked in a safe place. At the same time, it also supports the QT platform. The QtWebKit component displays an electronic map, locates the real-time position and driving trajectory of the vehicle, and finds safe parking places around the vehicle. Qt is a graphics development software developed by Qt Company. Qt has the characteristics of multi-threading, cross-platform and portability. , supports all important data-driven and can seamlessly connect database and Qt applications, and has a wide range of applications. When the driver of a drunk driving vehicle parks the vehicle in a safe area according to the warning prompt, the warning prompt stops.

204. Generate early warning prompts for surrounding vehicles based on the driver early warning prompts, and send early warning prompts to surrounding vehicles by sending early warning infrared light waves through the early warning prompt transmitter.

The terminal generates early warning prompts for surrounding vehicles based on the driver early warning prompts, and sends early warning prompts to surrounding vehicles through the early warning prompt transmitter to send out early warning infrared light waves. The innovation of this solution is that it can automatically use the early warning light wave to remind surrounding vehicles to stay away from drunk driving vehicles. The infrared sensors on the surrounding vehicles receive the light wave, and immediately remind the drivers of the surrounding vehicles to stay away and turn on the following system of the surrounding vehicles to keep them in Safe driving distance and speed, drivers of surrounding vehicles can also choose to exceed the drunk driving vehicle to a safe distance, and the warning prompt will be released when the alcohol concentration of the drunk driving driver drops to a safe range.

205. Start the following system for surrounding vehicles according to the warning prompt of surrounding vehicles, and call a preset radar detector to detect the driving distance of surrounding vehicles and drunk driving vehicles and the driving speed of surrounding vehicles.

The terminal starts the following system of surrounding vehicles according to the warning prompts of surrounding vehicles, and calls the preset radar detector to detect the driving distance of surrounding vehicles and drunk driving vehicles and the driving speed of surrounding vehicles. Specifically, when the driving distance of the surrounding vehicles and drunk driving vehicles is less than or equal to the preset safe driving distance or the driving speed of the surrounding vehicles exceeds the preset safe driving speed, the terminal sends a secondary warning prompt to the surrounding vehicles. The intensity of the infrared light wave will be higher than the intensity of the light wave sent to the surrounding vehicles for the first time, allowing the drivers of the surrounding vehicles to take defensive measures in time and improving the safety of the vehicle.

206. Based on the driver's warning prompt, call a vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generate vehicle state information.

Based on the driver's warning prompt, the terminal calls the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generates vehicle state information. Specifically, the terminal monitors the driving state of the drunk-driving vehicle in real time based on the driver's warning prompt, and detects whether the drunk-driving vehicle is in the activated state; if the preset driver's early warning prompt time is exceeded, the drunk-driving vehicle is still in the activated state or the drunk-driving vehicle is not in the activated state. When parked in a safe location, the terminal generates vehicle status information, which includes license plate number, vehicle travel path, and vehicle real-time location. The terminal performs real-time positioning of the vehicle based on the global positioning system GPS, and stores the driving path of the vehicle in real time. After issuing a driver warning prompt, the terminal will monitor the driving status of the drunk driving vehicle in real time through the vehicle driving status detector. If the driver of the vehicle fails to stop in time or does not park the vehicle in a safe location after receiving the warning prompt, for example, stops the vehicle in place, or does not drive the vehicle to the side of the road safely, vehicle status information is generated.

In the embodiment of the present application, the drunk driving vehicle is monitored in real time, and the surrounding vehicles are kept within a safe range through the early warning light wave and the following system, which improves the monitoring efficiency and safety and reduces the occurrence of traffic accidents. This solution can be applied in the field of smart transportation to promote the construction of smart cities.

The method for monitoring a drunk driving vehicle in the embodiment of the present application has been described above. The following describes the monitoring device for a drunk driving vehicle in the embodiment of the present application. Please refer to FIG. 3. An embodiment of the monitoring device for a drunk driving vehicle in the embodiment of the present application includes:

The identification module 301 is used for invoking a gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

The monitoring module 302 is used for invoking a face recognizer to monitor the driver's state in real time, generating basic state information, and analyzing the basic state information based on a preset drowsiness judgment rule to obtain fatigue driving information;

The early warning module 303 is used to generate early warning prompts based on the drunk driving early warning information and the fatigue driving information, the early warning prompts include the driver early warning prompts and the surrounding vehicle early warning prompts, the early warning prompt transmitter is called to send the early warning prompts, and the following system of the surrounding vehicles is activated to correct the Real-time tracking and monitoring of surrounding vehicles;

The generating module 304 is configured to, based on the driver's warning prompt, call the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generate vehicle state information.

In the embodiment of the present application, the drunk driving vehicle is monitored in real time, and the surrounding vehicles are kept within a safe range through the early warning light wave and the following system, which improves the monitoring efficiency and safety and reduces the occurrence of traffic accidents. This solution can be applied in the field of smart transportation to promote the construction of smart cities.

Referring to FIG. 4 , another embodiment of the monitoring device for a drunk driving vehicle in the embodiment of the present application includes:

The identification module 301 is used for invoking a gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

The monitoring module 302 is used for invoking a face recognizer to monitor the driver's state in real time, generating basic state information, and analyzing the basic state information based on a preset drowsiness judgment rule to obtain fatigue driving information;

The early warning module 303 is used to generate early warning prompts based on the drunk driving early warning information and the fatigue driving information, the early warning prompts include the driver early warning prompts and the surrounding vehicle early warning prompts, the early warning prompt transmitter is called to send the early warning prompts, and the following system of the surrounding vehicles is activated to correct the Real-time tracking and monitoring of surrounding vehicles;

The generating module 304 is configured to, based on the driver's warning prompt, call the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generate vehicle state information.

Optionally, the identification module 301 includes:

The identification unit 3011 is used to call the gas-sensing identifier to identify the gas exhaled by the driver, obtain alcohol concentration information, convert the alcohol concentration information into an electrical signal, and generate an alcohol concentration parameter according to the strength of the electrical signal;

The comparison unit 3012 is used to compare the alcohol concentration parameter with the preset standard value, if the alcohol concentration parameter reaches the preset standard value, then generate a drunk driving warning message, if the alcohol concentration parameter does not reach the preset standard value, Continuous monitoring of alcohol concentration parameters.

Optionally, the monitoring module 302 includes:

The collection unit 3021 is used to call the face recognizer to collect the driver's facial movements and the driver's eye movements, and generate basic state information;

The evaluation unit 3022 is used to evaluate the sleepiness degree of the basic state information according to the preset sleepiness degree judgment rule, if the sleepiness degree reaches the preset sleepiness warning value, then generate fatigue driving information, if the sleepiness degree does not reach the preset sleepiness degree Drowsiness warning value, the basic state information is continuously collected and analyzed.

Optionally, the early warning module 303 includes:

The early warning unit 3031 is used to obtain drunk driving warning information and fatigue driving information, and generate a driver warning prompt, which includes a parking prompt and a safe parking location prompt;

The sending unit 3032 is configured to generate an early warning prompt for surrounding vehicles based on the driver early warning prompt, and send the early warning prompt to surrounding vehicles by sending an early warning infrared light wave through the early warning prompt transmitter;

The detection unit 3033 is used to start the following system of surrounding vehicles according to the warning prompts of surrounding vehicles, and call a preset radar detector to detect the driving distance of surrounding vehicles and drunk driving vehicles and the driving speed of surrounding vehicles.

Optionally, the monitoring unit 3033 is specifically used for:

When the driving distance of the surrounding vehicles and drunk driving vehicles is less than or equal to the preset safe driving distance or the driving speed of the surrounding vehicles exceeds the preset safe driving speed, the early warning prompt transmitter sends a secondary early warning prompt to the surrounding vehicles.

Optionally, the generating module 304 includes:

The monitoring unit 3041 is used to call the vehicle driving state detector to monitor the driving state of the drunk driving vehicle in real time based on the driver's warning prompt, and detect whether the drunk driving vehicle is in the activated state;

The generating unit 3042 is used to generate vehicle status information if the drunk-driving vehicle is still in the starting state or the drunk-driving vehicle is not parked in a safe position after the preset driver warning prompt time period is exceeded, and the vehicle status information includes the license plate number, the vehicle driving Route and vehicle real-time location.

Optionally, after the generating module 304, the monitoring device for the drunk driving vehicle further includes:

The alarm module 305 is used to start the automatic alarm, and transmit the vehicle status information and driver information to the automatic alarm for automatic alarm, and the driver information includes the vehicle owner's identity information, fingerprint information and drunk driving time.

In the embodiment of the present application, the drunk driving vehicle is monitored in real time, and the surrounding vehicles are kept within a safe range through the early warning light wave and the following system, which improves the monitoring efficiency and safety and reduces the occurrence of traffic accidents. This solution can be applied in the field of smart transportation to promote the construction of smart cities.

Figures 3 and 4 above describe in detail the monitoring device for a drunk driving vehicle in the embodiment of the present application from the perspective of modular functional entities, and the following describes the monitoring device for a drunk driving vehicle in the embodiment of the present application in detail from the perspective of hardware processing.

5 is a schematic structural diagram of a monitoring device for a drunk driving vehicle provided by an embodiment of the present application. The monitoring device 500 for a drunk driving vehicle may vary greatly due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (eg, one or more processors) and memory 520, one or more storage media 530 (eg, one or more mass storage devices) that store application programs 533 or data 532. Among them, the memory 520 and the storage medium 530 may be short-term storage or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the monitoring device 500 for drunk driving vehicles. Furthermore, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the monitoring device 500 of the drunk driving vehicle.

The monitoring device 500 for a drunk driving vehicle may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input and output interfaces 560, and/or, one or more operating systems 531, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, and more. Those skilled in the art will understand that the structure of the monitoring device for a drunk driving vehicle shown in FIG. 5 does not constitute a limitation on the monitoring device for a drunk driving vehicle, and may include more or less components than the one shown, or combine some components, or Different component arrangements.

The present application also provides a monitoring device for a drunk driving vehicle. The computer device includes a memory and a processor, and computer-readable instructions are stored in the memory. When the computer-readable instructions are executed by the processor, the processor executes the steps in the above embodiments. The steps of the monitoring method for the drunk driving vehicle.

The present application also provides a computer-readable storage medium. The computer-readable storage medium may be a non-volatile computer-readable storage medium. The computer-readable storage medium may also be a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium, and when the instructions are executed on the computer, make the computer execute the steps of the method for monitoring a drunk driving vehicle.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above may refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, and the computer software products are stored in a storage medium , including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program codes .

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand: The technical solutions described in the embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in the embodiments of the present application.

Claims (20)

1. A method for monitoring a drunk driving vehicle, wherein it is applied to a vehicle terminal, the vehicle terminal includes a preset gas-sensing identifier, a face identifier, an early warning prompt transmitter and a vehicle driving state detector, the monitoring of the drunk driving vehicle Methods include:

   Calling the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

   Invoke the face recognizer to monitor the driver's state in real time, generate basic state information, and analyze the basic state information based on a preset sleepiness judgment rule to obtain fatigue driving information;

   An early warning prompt is generated based on the drunk driving warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, the early warning prompt transmitter is called to send the early warning prompt, and the follow-up of the surrounding vehicles is started. Vehicle system, real-time tracking and monitoring of surrounding vehicles;

   Based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time to generate vehicle state information.
2. The method for monitoring a drunk driving vehicle according to claim 1, wherein the invoking the gas-sensing recognizer identifies the gas exhaled by the driver, generates an alcohol concentration parameter, and judges whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter , the generated drunk driving warning information includes:

   Calling the gas-sensing identifier to identify the gas exhaled by the driver, obtaining alcohol concentration information, converting the alcohol concentration information into an electrical signal, and generating an alcohol concentration parameter according to the strength of the electrical signal;

   Comparing the alcohol concentration parameter with the preset standard value, if the alcohol concentration parameter reaches the preset standard value, then generating warning information for drunk driving, and if the alcohol concentration parameter does not reach the preset standard value, Continuous monitoring of alcohol concentration parameters.
3. The method for monitoring a drunk driving vehicle according to claim 1, wherein the invoking the face recognizer is used to monitor the driver's state in real time, generate basic state information, and monitor the driver's state based on a preset drowsiness judgment rule. Basic state information is analyzed to obtain fatigue driving information including:

   Calling the face recognizer to collect the driver's facial movements and the driver's eye movements to generate basic state information;

   According to the preset drowsiness degree judgment rule, the basic state information is evaluated for the drowsiness degree. If the drowsiness degree reaches the preset drowsiness warning value, fatigue driving information is generated. If the drowsiness degree does not reach the preset drowsiness warning value Drowsiness warning value, the basic state information is continuously collected and analyzed.
4. The method for monitoring a drunk driving vehicle according to claim 1, wherein generating an early warning prompt based on the drunk driving early warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, and calling the The early warning prompt transmitter sends the early warning prompt, and activates the following system of the surrounding vehicles, and the real-time tracking and monitoring of the surrounding vehicles includes:

   Obtain the drunk driving warning information and the fatigue driving information, and generate a driver warning prompt, where the driver early warning prompt includes a parking prompt and a safe parking location prompt;

   Generate an early warning prompt for surrounding vehicles based on the driver early warning prompt, and send an early warning prompt to surrounding vehicles by sending an early warning infrared light wave through the early warning prompt transmitter;

   According to the surrounding vehicle warning prompt, the surrounding vehicle following system is activated, and a preset radar detector is invoked to detect the driving distance of the surrounding vehicle and the drunk driving vehicle and the driving speed of the surrounding vehicle.
5. The method for monitoring drunk driving vehicles according to claim 4, wherein the following system is activated for surrounding vehicles according to the warning prompts of surrounding vehicles, and a preset radar detector is invoked to detect the driving of the surrounding vehicles and the drunk driving vehicle. The distance and the speed of the surrounding vehicles include:

   When the driving distance of the surrounding vehicle and the drunk driving vehicle is less than or equal to a preset safe driving distance or the driving speed of the surrounding vehicle exceeds the preset safe driving speed, the early warning transmitter sends a message to the surrounding vehicle. Second warning notice.
6. The method for monitoring a drunk driving vehicle according to claim 1, wherein, based on the driver warning prompt, invoking the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generating the vehicle state information comprises:

   Based on the driver's warning prompt, the vehicle driving state detector is invoked to monitor the driving state of the drunk driving vehicle in real time, and detect whether the drunk driving vehicle is in an activated state;

   If the drink-driving vehicle is still in the starting state or the drink-driving vehicle is not parked in a safe position after the preset driver warning prompt time period, vehicle status information is generated, and the vehicle status information includes the license plate number, the vehicle driving path and the Vehicle real-time location.
7. The method for monitoring a drunk driving vehicle according to any one of claims 1 to 6, wherein, when the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time based on the driver warning prompt, and generate After the vehicle state information, the method further includes:

   The automatic alarm is started, and the vehicle status information and driver information are transmitted to the automatic alarm for automatic alarm, and the driver information includes vehicle owner identity information, fingerprint information and drunk driving time.
8. A monitoring device for a drunk driving vehicle, applied to a vehicle terminal, comprising a memory, a processor, and computer-readable instructions stored on the memory and running on the processor, the processor executing the computer-readable instructions Implement the following steps when instructing:

   Calling the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

   Invoke the face recognizer to monitor the driver's state in real time, generate basic state information, and analyze the basic state information based on a preset sleepiness judgment rule to obtain fatigue driving information;

   An early warning prompt is generated based on the drunk driving warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, the early warning prompt transmitter is called to send the early warning prompt, and the follow-up of the surrounding vehicles is started. Vehicle system, real-time tracking and monitoring of surrounding vehicles;

   Based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time to generate vehicle state information.
9. The monitoring device for a drunk driving vehicle according to claim 8, wherein the processor also implements the following steps when executing the computer program:

   Calling the gas-sensing identifier to identify the gas exhaled by the driver, obtaining alcohol concentration information, converting the alcohol concentration information into an electrical signal, and generating an alcohol concentration parameter according to the strength of the electrical signal;

   Comparing the alcohol concentration parameter with the preset standard value, if the alcohol concentration parameter reaches the preset standard value, then generating warning information for drunk driving, and if the alcohol concentration parameter does not reach the preset standard value, Continuous monitoring of alcohol concentration parameters.
10. The monitoring device for a drunk driving vehicle according to claim 8, wherein the processor also implements the following steps when executing the computer program:

    Calling the face recognizer to collect the driver's facial movements and the driver's eye movements to generate basic state information;

    According to the preset drowsiness degree judgment rule, the basic state information is evaluated for the drowsiness degree. If the drowsiness degree reaches the preset drowsiness warning value, fatigue driving information is generated. If the drowsiness degree does not reach the preset drowsiness warning value Drowsiness warning value, the basic state information is continuously collected and analyzed.
11. The monitoring device for a drunk driving vehicle according to claim 8, wherein the processor also implements the following steps when executing the computer program:

    Obtain the drunk driving warning information and the fatigue driving information, and generate a driver warning prompt, and the driver early warning prompt includes a parking prompt and a safe parking location prompt;

    Generate an early warning prompt for surrounding vehicles based on the driver early warning prompt, and send an early warning prompt to surrounding vehicles by sending an early warning infrared light wave through the early warning prompt transmitter;

    According to the surrounding vehicle warning prompt, the surrounding vehicle following system is activated, and a preset radar detector is invoked to detect the driving distance of the surrounding vehicle and the drunk driving vehicle and the driving speed of the surrounding vehicle.
12. The monitoring device for a drunk driving vehicle according to claim 11, wherein the processor further implements the following steps when executing the computer program:

    When the driving distance of the surrounding vehicle and the drunk driving vehicle is less than or equal to a preset safe driving distance or the driving speed of the surrounding vehicle exceeds the preset safe driving speed, the early warning transmitter sends a message to the surrounding vehicle. Second warning notice.
13. The monitoring device for a drunk driving vehicle according to claim 8, wherein the processor also implements the following steps when executing the computer program:

    Based on the driver warning prompt, the vehicle driving state detector is invoked to monitor the driving state of the drunk driving vehicle in real time, and detect whether the drunk driving vehicle is in an activated state;

    If the drink-driving vehicle is still in the starting state or the drink-driving vehicle is not parked in a safe position after the preset driver warning prompt time period, vehicle status information is generated, and the vehicle status information includes the license plate number, the vehicle driving path and the Vehicle real-time location.
14. The monitoring device for a drunk driving vehicle according to any one of claims 8-13, wherein the processor also implements the following steps when executing the computer program:

    Start the automatic alarm, transmit the vehicle status information and driver information to the automatic alarm to perform automatic alarm, and the driver information includes vehicle owner identity information, fingerprint information and drunk driving time.
15. A computer-readable storage medium, storing computer instructions in the computer-readable storage medium, when the computer instructions are executed on a computer, the computer is made to perform the following steps:

    Calling the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

    Invoke the face recognizer to monitor the driver's state in real time, generate basic state information, and analyze the basic state information based on a preset sleepiness judgment rule to obtain fatigue driving information;

    An early warning prompt is generated based on the drunk driving warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, the early warning prompt transmitter is called to send the early warning prompt, and the tracking of surrounding vehicles is started. Vehicle system, real-time tracking and monitoring of surrounding vehicles;

    Based on the driver's warning prompt, the vehicle driving state detector is invoked to detect the driving state of the drunk driving vehicle in real time to generate vehicle state information.
16. The computer-readable storage medium according to claim 15, wherein computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on the computer, the computer is caused to perform the following steps:

    Calling the gas-sensing identifier to identify the gas exhaled by the driver, obtaining alcohol concentration information, converting the alcohol concentration information into an electrical signal, and generating an alcohol concentration parameter according to the strength of the electrical signal;

    Comparing the alcohol concentration parameter with the preset standard value, if the alcohol concentration parameter reaches the preset standard value, then generating warning information for drunk driving, and if the alcohol concentration parameter does not reach the preset standard value, Continuous monitoring of alcohol concentration parameters.
17. The computer-readable storage medium according to claim 15, wherein computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on the computer, the computer is caused to perform the following steps:

    Calling the face recognizer to collect the driver's facial movements and the driver's eye movements to generate basic state information;

    According to the preset drowsiness degree judgment rule, the basic state information is evaluated for the drowsiness degree. If the drowsiness degree reaches the preset drowsiness warning value, fatigue driving information is generated. If the drowsiness degree does not reach the preset drowsiness warning value Drowsiness warning value, the basic state information is continuously collected and analyzed.
18. The computer-readable storage medium according to claim 15, wherein computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on the computer, the computer is caused to perform the following steps:

    Obtain the drunk driving warning information and the fatigue driving information, and generate a driver warning prompt, where the driver early warning prompt includes a parking prompt and a safe parking location prompt;

    Generate an early warning prompt for surrounding vehicles based on the driver early warning prompt, and send an early warning prompt to surrounding vehicles through the early warning prompt transmitter to send an early warning infrared light wave;

    According to the surrounding vehicle warning prompt, the surrounding vehicle following system is activated, and a preset radar detector is invoked to detect the driving distance of the surrounding vehicle and the drunk driving vehicle and the driving speed of the surrounding vehicle.
19. The computer-readable storage medium according to claim 18, wherein computer instructions are stored in the computer-readable storage medium, and when the computer instructions are executed on the computer, the computer is caused to perform the following steps:

    When the driving distance of the surrounding vehicle and the drunk driving vehicle is less than or equal to a preset safe driving distance or the driving speed of the surrounding vehicle exceeds the preset safe driving speed, the early warning transmitter sends a message to the surrounding vehicle. Second warning notice.
20. A monitoring device for a drunk driving vehicle is applied to a vehicle terminal. The vehicle terminal includes a preset gas-sensing recognizer, a face recognizer, an early warning prompt transmitter and a vehicle driving state detector. The monitoring device for a drunk driving vehicle includes: :

    an identification module, used for invoking the gas-sensing identifier to identify the gas exhaled by the driver, generating an alcohol concentration parameter, and judging whether the alcohol concentration exceeds the standard based on the alcohol concentration parameter, and generating drunk driving warning information;

    a monitoring module, configured to call the face recognizer to monitor the state of the driver in real time, generate basic state information, and analyze the basic state information based on a preset drowsiness judgment rule to obtain fatigue driving information;

    an early warning module, configured to generate an early warning prompt based on the drunk driving early warning information and the fatigue driving information, the early warning prompt includes a driver early warning prompt and a surrounding vehicle early warning prompt, and the early warning prompt transmitter is called to send the early warning prompt, and Activate the following system of surrounding vehicles to track and monitor surrounding vehicles in real time;

    The generating module is configured to, based on the driver's warning prompt, call the vehicle driving state detector to detect the driving state of the drunk driving vehicle in real time, and generate vehicle state information.

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