WO2023236433A1 - 一种基于驾驶人情绪和疲劳度分析的行车安全管理*** - Google Patents
一种基于驾驶人情绪和疲劳度分析的行车安全管理*** Download PDFInfo
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- WO2023236433A1 WO2023236433A1 PCT/CN2022/129872 CN2022129872W WO2023236433A1 WO 2023236433 A1 WO2023236433 A1 WO 2023236433A1 CN 2022129872 W CN2022129872 W CN 2022129872W WO 2023236433 A1 WO2023236433 A1 WO 2023236433A1
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Definitions
- the invention relates to automobile driving safety monitoring technology, specifically to all operational vehicles such as highway passenger transport, tourist passenger transport, hazardous chemical transport vehicles, freight vehicles, school buses, buses, taxis, online car-hailing or rental cars on various platforms, Driving safety monitoring of non-commercial transportation vehicles and private vehicles.
- the purpose of the present invention is to provide a driving safety management system based on driver emotion and fatigue analysis, which uses driver emotion and fatigue analysis technology to monitor the driver's status in real time and implement linkage with vehicle control. , thereby providing effective early warning and active intervention to potential accident risks that may be caused by driver factors, preventing drivers from driving vehicles in abnormal emotional states that hinder safe driving or driving vehicles in a fatigued state, and ensuring that drivers are in a normal emotional state , drive the vehicle safely under mental and physical conditions, and ensure that the vehicle carries out active intelligent safety prevention and control when the driver has abnormal emotions or fatigue, so as to improve the safety of vehicle operation.
- the present invention provides a driving safety management system based on driver emotion and fatigue analysis, including:
- the driver emotion/fatigue monitoring unit monitors the driver's emotion and/or physical state in real time, and performs emotion recognition and/or fatigue determination based on the real-time emotion recognition results and/or Or the fatigue degree determination result is directly associated with the vehicle control unit or is associated with the vehicle control unit through the vehicle gateway unit to control the vehicle operating status;
- Vehicle-mounted gateway unit the vehicle-mounted gateway unit is respectively associated with the driver's emotion/fatigue monitoring unit, the vehicle control unit, the alarm prompt unit and the remote management unit; the vehicle-mounted gateway unit can also cooperate with the driver's emotion/fatigue monitoring unit. Emotion recognition and/or fatigue status determination;
- Vehicle control unit the vehicle control unit is linked to the vehicle's speed control system and braking system, and is associated with the vehicle gateway unit and the driver's emotion/fatigue monitoring unit.
- the vehicle control unit is based on the driver's emotion/fatigue monitoring unit.
- the driver's real-time emotional state analysis results and fatigue level determination results sent by the vehicle gateway unit control the vehicle driving state;
- Alarm prompt unit the alarm prompt unit is connected and cooperated with the driver's emotion/fatigue monitoring unit and the vehicle gateway unit respectively;
- the remote management unit cooperates with the driver emotion/fatigue monitoring unit to complete driver emotion recognition and/or fatigue status determination through the vehicle control unit. It can give corresponding vehicle management and driver management control instructions and feedback to Vehicle-mounted gateway unit.
- driver emotion/fatigue monitoring unit includes a real-time emotion recognition module, a fatigue state monitoring module and an intelligent computing analysis module;
- the real-time emotion recognition module is used to obtain the current driver's facial expression dynamics, and transmit the obtained facial expression dynamics to its own intelligent computing analysis module or the shared intelligent computing analysis module of the driver's emotion/fatigue monitoring unit or the vehicle-mounted gateway.
- the fatigue state monitoring module is used to obtain the current driver's fatigue state monitoring information, and transmit the obtained information to its own fatigue state determination module or the shared intelligent computing analysis module of the driver's emotion/fatigue monitoring unit or the vehicle gateway unit
- the fatigue status determination module or the fatigue status determination module of the remote management unit is transmitted to the remote management unit through the vehicle gateway unit;
- the intelligent calculation and analysis module is used to perform intelligent calculation and analysis on the collected information and data of the real-time emotion recognition module and the fatigue state monitoring module. It can be set up inside the real-time emotion recognition module and the fatigue state monitoring module respectively or independently and perform real-time emotion recognition at the same time.
- the collected information and collected data of the module and fatigue status monitoring module are subjected to intelligent calculation and analysis.
- the real-time emotion recognition module of the driver emotion/fatigue monitoring unit includes a facial high-speed camera device and an emotion intelligent analysis and recognition device;
- the facial high-speed camera device is used to collect the facial expression dynamics of the current driver
- the intelligent emotion analysis and identification device is used to intelligently analyze and identify the dynamic facial expressions collected by the facial high-speed camera device, and determine the real-time emotional state of the current driver.
- the fatigue status monitoring module of the driver's emotion/fatigue monitoring unit includes a head and face video collection device, a fatigue status analysis device based on video analysis, a seat pressure status collection device, and a fatigue status analysis based on sensor network analysis. device;
- the head and face video collection device is used to collect the head and face movements of the current driver
- the fatigue state analysis device based on video analysis is used to intelligently analyze and identify the head and face movements collected by the head and face video collection device, and determine the fatigue degree of the current driver's real-time state;
- the seat pressure state collection device is used to collect the pressure distribution at different points of the seat under the driver;
- the fatigue state analysis device based on sensor network analysis is used to intelligently analyze and identify the pressure conditions of different points of the seat under the driver collected by the seat pressure state acquisition device, and determine the fatigue degree of the current driver's real-time state. .
- the intelligent computing analysis module of the driver emotion/fatigue monitoring unit includes a data storage device and an edge computing device;
- the data storage device is used to store the collection information and data of the real-time emotion recognition module and the fatigue status monitoring module;
- the edge computing device is used to perform intelligent calculation and analysis on the collected information and data collected by the real-time emotion recognition module and the fatigue status monitoring module.
- driver emotion/fatigue monitoring unit is directly associated with the vehicle control unit or indirectly associated with the vehicle control unit and/or the remote management unit through a vehicle-mounted gateway.
- vehicle gateway unit includes a network communication module and/or a data storage module and/or an edge computing module;
- the network communication module is used for data interaction between the driver's emotion/fatigue monitoring unit, the alarm prompt unit, the vehicle control unit and the remote management unit;
- the data storage module is used to store interaction data between the driver's emotion/fatigue monitoring unit, the alarm prompt unit, the vehicle control unit and the remote management unit;
- the edge computing module is used to perform intelligent emotional analysis and identification and/or fatigue status analysis and determination based on the data interacted between the driver's emotion/fatigue monitoring unit, the alarm prompt unit, the vehicle control unit and the remote management unit.
- the network communication module of the vehicle gateway unit includes a 5G communication device, a CAN bus communication device, a TCP/IP communication device, a Bluetooth communication device, and other wireless communication (WIFI, UWB, Zigbee, etc.) devices.
- the data storage module of the vehicle-mounted gateway unit includes a built-in data storage device and an external data storage device.
- the edge computing module of the vehicle gateway unit includes an AI smart chip containing edge computing functions and a terminal SDK containing edge computing.
- vehicle-mounted gateway unit is directly associated with the driver's emotion/fatigue monitoring unit, vehicle control unit, alarm prompt unit and remote management unit.
- the alarm prompt unit includes a vehicle local alarm prompt subunit and a remote monitoring client software alarm prompt subunit.
- the alarm prompt unit is directly associated with the driver's emotion/fatigue monitoring unit and the vehicle gateway unit.
- the vehicle control unit includes an anti-lock braking (ABS) module and/or a speed limit management module and/or an intelligent brake management module and/or an electronically controlled brake assist (EBA) module.
- ABS anti-lock braking
- EBA electronically controlled brake assist
- the anti-lock braking (ABS) module is used to prevent the possibility of emergency braking when receiving abnormal driver status monitoring results sent by the driver's emotion/fatigue monitoring unit or forwarded by the driver's emotion/fatigue monitoring unit through the vehicle gateway unit.
- the vehicle loses control of its driving direction or slides;
- the speed limit management module is used to control the vehicle's maximum driving speed when receiving abnormal driver status monitoring results sent by the driver's emotion/fatigue monitoring unit or forwarded by the driver's emotion/fatigue monitoring unit through the vehicle gateway unit;
- the intelligent braking management module is used to activate the intelligent braking device to reduce the vehicle's real-time speed when receiving abnormal driver status monitoring results sent by the driver's emotion/fatigue monitoring unit or forwarded by the driver's emotion/fatigue monitoring unit through the vehicle gateway unit.
- Driving speed ;
- the electronically controlled brake assist (EBA) module is used to perform emergency braking when receiving abnormal driver status monitoring results sent by the driver's emotion/fatigue monitoring unit or forwarded by the driver's emotion/fatigue monitoring unit through the vehicle gateway unit. Quickly activate all braking force when moving to prevent the driver's slow reaction in abnormal conditions, resulting in traffic accidents caused by excessive vehicle braking distance.
- the vehicle control unit is directly associated with the driver's emotion/fatigue monitoring unit and the vehicle gateway unit.
- the vehicle control unit controls the vehicle speed limit, deceleration or emergency braking.
- the remote management unit includes government industry management client software, enterprise operation management client software, driver and passenger service client software, and a communication center.
- the government industry management client of the remote management unit includes public security industry management client software, transportation industry management client software, emergency industry management client software, and other industry management client software (such as Insurance industry management client software), etc.
- the enterprise operation management client of the remote management unit includes shipping unit management client software, carrier unit management client software, and receiving unit management client software depending on the user.
- driver and passenger service management client of the remote management unit includes driver service client software and escort (safety officer) service client software depending on the user.
- the communication center of the remote management unit includes a cloud platform, a local server and a personal mobile intelligent terminal.
- the remote management unit receives the driver's emotion and fatigue analysis results sent by the vehicle-mounted gateway unit and provides vehicle management and driver management control instructions, or receives the driver's emotion and fatigue analysis information collection results sent by the vehicle-mounted gateway unit. , identify, analyze, and determine the driver's real-time emotion and/or fatigue state, and provide vehicle management and driver management control instructions based on the emotion recognition results and/or fatigue state determination results, and feedback them to the vehicle gateway unit, and pass The vehicle-mounted gateway feeds back to the alarm prompt unit or vehicle control unit to issue audible and visual alarms, voice prompts or control the vehicle.
- the driving safety management system based on driver's emotion and fatigue analysis can monitor the driver's emotion and fatigue state in real time during driving, and automatically link it in the form of active driving assistance and safety prevention and control based on the monitoring results. Control the driving status of the vehicle and provide safety warnings to the driver, thereby ensuring the operational safety of automobile transportation from the driver's perspective.
- the driving safety management system based on the analysis of driver's emotions and fatigue can analyze the driver's facial dynamic expression or facial vibration amplitude while driving the vehicle and the pressure conditions of different areas of the seat under the driver.
- Carry out real-time monitoring comprehensively analyze the driver's real-time emotional state, rigorously determine the driver's real-time fatigue level, automatically control the vehicle's automatic speed limit, deceleration or emergency braking based on the analysis and identification results of the emotional state and real-time fatigue state and issue a voice at the same time.
- Prompts or sound and light alarms provide effective early warning and active intervention for potential accident risks that may be caused by driver factors, prevent drivers from driving in abnormal emotional states that hinder safe driving, and drive vehicles in a fatigued state, ensuring that drivers Drive the vehicle safely under normal emotional, mental and physical conditions, and ensure that the vehicle carries out active intelligent safety prevention and control when the driver is in an abnormal mood or fatigue state to improve the safety of vehicle operation.
- Figure 1 is a schematic diagram of the composition principle and usage flow of a driving safety management system based on driver emotion and fatigue analysis provided by an example of the present invention
- Figure 2 is a schematic diagram of the composition principle of the driver's emotion/fatigue monitoring unit in the example of the present invention.
- Figure 3 is a schematic diagram of the composition principle and usage flow of the emotion recognition module of the driver's emotion/fatigue monitoring unit in an example of the present invention
- Figure 4 is a schematic diagram of the composition principle and usage flow of the fatigue state monitoring module of the driver's emotion/fatigue monitoring unit in the example of the present invention
- FIG. 5 is a schematic diagram of the composition principle of the vehicle gateway unit and its network communication module in an example of the present invention
- Figure 6 is a schematic diagram of the composition principle and usage flow of the alarm prompt unit in an example of the present invention.
- Figure 7 is a schematic diagram of the composition principle and usage flow of the vehicle control unit in an example of the present invention.
- Figure 8 is a schematic diagram of the composition principle and usage flow of the remote management unit in an example of the present invention.
- Figure 9 is a schematic diagram of the composition principle of the government industry management client of the remote management unit in the example of the present invention.
- Figure 10 is a schematic diagram of the composition principle of the enterprise operation management client of the remote management unit in the example of the present invention.
- Figure 11 is a schematic diagram of the composition principle of the driver and passenger service client of the remote management unit in the example of the present invention.
- Figure 12 is a schematic diagram of the composition principle of the communication center of the remote management unit in an example of the present invention.
- the present invention innovatively starts from the perspective of driver management, monitors the driver's real-time emotions and fatigue status during driving, and based on the monitoring results, it controls the driving status of the vehicle in real-time and/or forms a safety warning for the driver. , thereby realizing intelligent early warning of safety hazards that may be caused by driver factors, and at the same time, it can intelligently linkage control the driving status of the vehicle, thereby eliminating safety hazards caused by driver factors, and ensuring the safety of corresponding vehicle transportation from the perspective of driver management. .
- the present invention provides a driving safety management system based on driver's emotion and fatigue analysis.
- the monitoring system can monitor the driver's facial dynamic expressions or facial vibration amplitudes while driving the vehicle, as well as the differences in the seats under the driver.
- Real-time monitoring of regional pressure conditions comprehensive analysis of the driver's real-time emotional state, rigorous determination of the driver's real-time fatigue level, and automatic control of the vehicle's automatic speed limit, deceleration or emergency based on the analysis and identification of emotional state and real-time fatigue status.
- Braking and issuing voice prompts or sound and light alarms at the same time provide effective early warning and active intervention for potential accident risks that may be caused by driver factors, and prevent drivers from driving in abnormal emotional states that hinder safe driving or driving in a fatigued state.
- the vehicle ensures that the driver can drive the vehicle safely under normal emotional, mental and physical conditions, and ensures that the vehicle carries out active intelligent safety prevention and control when the driver is in an abnormal mood or fatigue state to prevent corresponding vehicle traffic safety accidents, such as highway passenger transport , tourist passenger transport, hazardous chemical transport vehicles, freight vehicles, school buses, buses, taxis, online ride-hailing or rental cars on various platforms, and all operational vehicles, non-commercial transport vehicles and private vehicles, etc.
- vehicle traffic safety accidents such as highway passenger transport , tourist passenger transport, hazardous chemical transport vehicles, freight vehicles, school buses, buses, taxis, online ride-hailing or rental cars on various platforms, and all operational vehicles, non-commercial transport vehicles and private vehicles, etc.
- FIG. 1 it is a schematic diagram showing the overall composition principle of a driving safety management system based on driver emotion and fatigue analysis provided by the present invention.
- this driving safety management system based on driver emotion and fatigue analysis mainly consists of a driver emotion/fatigue monitoring unit 200, a vehicle gateway unit 300, an alarm prompt unit 400, a vehicle control unit 500 and a remote management unit. 600 are composed of each other.
- the driver's emotion/fatigue monitoring unit 200 in this system is installed in the cab of the vehicle 100 to be monitored, is associated with the vehicle's on-board gateway unit 300, alarm prompt unit 400, and vehicle control unit 500, and is connected to the remote control unit through the on-board gateway unit 300.
- Management unit 600 is associated.
- the driver's emotion/fatigue monitoring unit 200 can monitor the driver's emotion and physical fatigue status in real time, either through the edge computing module built by the monitoring unit itself, or through the edge computing module of the vehicle-mounted gateway unit 300 or through the vehicle-mounted gateway unit 300
- the network communication module transmits it to the remote management unit 600 for emotion recognition and fatigue status determination.
- the driver emotion/fatigue monitoring unit 200 can directly obtain management instructions based on the relevant emotion recognition results and/or fatigue state determination results from the remote management unit through the vehicle gateway unit.
- the vehicle control unit 500 or associated with the vehicle control unit 500 through the vehicle gateway unit 300 to control the operation of the vehicle's anti-lock braking (ABS) module, speed limit management module, intelligent brake management module or electronically controlled brake assist (EBA) module status to perform speed limit, speed control or deceleration operations.
- ABS anti-lock braking
- EBA electronically controlled brake assist
- the vehicles 100 to be monitored here can be "two passengers, one dangerous, one cargo and one school” vehicles, taxis and online car-hailing vehicles on various platforms, rental cars and other operational vehicles, non-commercial transport vehicles and private vehicles. vehicles and private vehicles.
- FIG. 2 shows a schematic diagram of the composition principle of a driver emotion/fatigue monitoring unit based on driver emotion and fatigue analysis provided by the present invention.
- the driver emotion/fatigue monitoring unit 200 is composed of a real-time emotion recognition module 210, an intelligent computing analysis module 220, and a fatigue status monitoring module 230 that cooperate with each other.
- the real-time emotion recognition module 210 in this unit is used to obtain the current driver's facial expression dynamics, and transmit the obtained facial expression dynamics to its own intelligent computing analysis function module 220 or the shared intelligent computing of the driver's emotion/fatigue monitoring unit
- the analysis module 220 or the intelligent emotion analysis function module of the vehicle-mounted gateway unit (such as the edge computing module built in the vehicle-mounted gateway unit) or the intelligent emotion analysis function module transmitted to the remote management unit through the vehicle-mounted gateway unit.
- the fatigue state monitoring module 230 in this unit is used to obtain the current driver's fatigue state monitoring information, and transmit the obtained information to the own fatigue state determination function module 220 or the shared intelligent calculation analysis of the driver's emotion/fatigue monitoring unit Module 220 or the fatigue state determination function module of the vehicle-mounted gateway unit (such as the edge computing module built in the vehicle-mounted gateway unit) or is transmitted to the fatigue state determination function module of the remote management unit through the vehicle-mounted gateway unit.
- the driver's emotion/fatigue monitoring unit 200 can further be provided with a calculation and analysis module 220 as needed.
- the calculation and analysis module 220 can perform data interaction with the real-time emotion recognition module 210 as an intelligent emotion analysis in cooperation with the real-time emotion recognition module 210 Functional module, used to receive the current driver's facial expression dynamic data obtained by the real-time emotion recognition module 210.
- the dynamic data here can be videos, pictures, etc., and perform intelligent emotion analysis based on the data, and form corresponding real-time emotions. Analyze the results.
- the calculation and analysis module 220 can perform data interaction with the fatigue state monitoring module 230, and serves as a fatigue state determination function module that cooperates with the fatigue state monitoring module 230 to receive the current driver's information obtained by the fatigue state monitoring module 230.
- Fatigue status monitoring information the dynamic data here can be videos, pictures, etc., and based on this data, intelligent fatigue status determination is performed, and a corresponding fatigue level is formed to determine the current driver's real-time status.
- calculation and analysis module 220 can be integrated with the real-time emotion recognition module 210 and the fatigue state monitoring module 230 respectively, or can be set independently from the real-time emotion recognition module 210 and the fatigue state monitoring module 230 .
- the calculation and analysis module 220 can be presented as an edge computing module built by the driver's emotion/fatigue monitoring unit 200 itself.
- the specific composition technology can be determined according to actual needs. For example, it can be based on the driver's emotion.
- the fatigue monitoring unit 200 is implemented by the edge computing function that comes with the hardware.
- the driver emotion/fatigue monitoring unit 200 configured in this way collects the current driver's facial expression dynamics through the real-time emotion recognition module 210 and/or performs intelligent analysis and recognition on the collected facial expression dynamics to determine the current driving. People's real-time emotional state.
- the driver's emotion/fatigue monitoring unit 200 can collect the current driver's facial movements through the fatigue state monitoring module 230 and/or perform intelligent analysis and identification on the head and facial movements collected by the head and face video collection device to determine the real-time fatigue of the current driver. degree; on this basis, it can also be further combined with collecting the pressure distribution at different points of the seat under the driver to conduct intelligent analysis and identification to determine the fatigue level of the current driver in real time; or directly collect the seat pressure
- the pressure conditions of different points of the seat under the driver collected by the device are intelligently analyzed and identified to determine the real-time fatigue level of the driver.
- the driver's emotion/fatigue monitoring unit 200 When the driver's emotion/fatigue monitoring unit 200 performs intelligent analysis and identification, it can directly perform intelligent analysis and identification by constructing a corresponding edge computing module in the driver's emotion/fatigue monitoring unit 200, such as the aforementioned calculation and analysis module 220. .
- the driver's emotion/fatigue monitoring unit 200 can also cooperate with the vehicle-mounted gateway unit 300 to complete intelligent analysis and identification of driver's emotion and fatigue.
- the real-time emotion recognition module 210 in the driver's emotion/fatigue monitoring unit 200 will obtain the current driver's facial expression dynamic data, as well as fatigue
- the status monitoring module 230 synchronously transmits the acquired fatigue status monitoring information of the current driver to the vehicle-mounted gateway unit 300, and the edge computing module running in the vehicle-mounted gateway unit 300 performs intelligent analysis and identification based on the information to determine the current driver's real-time emotional state. and real-time fatigue levels.
- the driver's emotion/fatigue monitoring unit 200 can also cooperate with the vehicle gateway unit 300 and the remote management unit 600 to complete intelligent analysis and identification of driver's emotion and fatigue.
- the real-time emotion recognition module 210 in the driver's emotion/fatigue monitoring unit 200 obtains the dynamic facial expression data of the current driver
- the fatigue status monitoring module 230 obtains the obtained fatigue status of the current driver.
- the status monitoring information is synchronously transmitted to the vehicle-mounted gateway unit 300, and then transmitted from the vehicle-mounted gateway unit 300 to the remote management unit 600.
- the remote management unit 600 performs intelligent analysis and identification based on the data to determine the current driver's real-time emotional state and real-time fatigue level. .
- the data monitored by the corresponding monitoring module can be passed through the edge computing module of the driver's emotion/fatigue monitoring unit 200 or through the vehicle gateway unit 300
- the edge computing module or the network communication module of the vehicle gateway unit 300 is transmitted to the remote management unit 600 for emotion recognition and/or fatigue status determination.
- the driver emotion/fatigue monitoring unit 200 simultaneously relies on the real-time emotion recognition results and fatigue state determination results; or obtains management instructions generated based on the relevant emotion recognition results and fatigue state determination results from the remote management unit 600 through the vehicle gateway unit 300, and directly Associated with the vehicle control unit 500 or associated with the vehicle control unit 500 through the vehicle gateway unit 300, thereby controlling the vehicle's anti-lock braking (ABS) module, speed limit management module, intelligent brake management module or electronically controlled brake assist (EBA)
- ABS anti-lock braking
- EBA electronically controlled brake assist
- the working status of the module carries out speed limit, deceleration or emergency braking operations to control the vehicle's operating status.
- the vehicle-mounted gateway unit 300 in this system is installed in the cab of the vehicle 100 to be monitored, together with the vehicle's driver emotion/fatigue monitoring unit 200, alarm prompt unit 400, vehicle control unit 500 and remote management unit 600 associations.
- the vehicle gateway unit 300 here at least has a network communication function and/or a data storage function and/or an edge computing function and establishes a communication channel with the remote management unit 600 to process the data information generated by the driver's emotion/fatigue monitoring unit. Identify, analyze or transmit relevant information to the remote management unit for identification and analysis, and send the management data information returned by the remote management unit to the vehicle control unit and alarm prompt unit.
- FIG. 5 shows a structural principle of the vehicle gateway unit 300 and a schematic diagram of its network communication module in the driving safety management system based on driver emotion and fatigue analysis given in this example.
- the vehicle-mounted gateway unit 300 for the driving safety management system is composed of a network communication module 310 and/or a data storage module 320 and/or an edge computing module 330 that are combined with each other or composed independently.
- the network communication module 310 is a basic component, that is, a necessary component of the vehicle gateway unit 300.
- the vehicle gateway unit 300 configured in this way uses the network communication module 310 to communicate data between the driver's emotion/fatigue monitoring unit 200, the alarm prompt unit 400, the vehicle control unit 500 and the remote management unit 600. Interaction.
- the vehicle gateway unit 300 uses the network communication module 310 to analyze and identify the current driver's facial expression dynamic information uploaded by the driver's emotion/fatigue monitoring unit 200 and the pressure distribution information at different points of the seat under the driver or real-time emotion analysis and identification. The results and fatigue status determination results are forwarded to the remote management unit 600.
- the vehicle-mounted gateway unit 300 can also send corresponding instructions to the vehicle control unit 500 and the alarm prompt unit 400 based on the received driver's real-time emotion analysis and recognition results and fatigue state determination results; or based on the edge of the vehicle-mounted gateway unit 300
- the real-time emotion analysis recognition results and fatigue state determination results obtained by the computing module 330 send corresponding instructions to the vehicle control unit 500 and the alarm prompt unit 400; or the received management instructions of the remote management unit 600 are sent to the driver emotion/fatigue monitoring unit 200 Or the alarm prompt unit 400 or the vehicle control unit 500 forwards.
- the vehicle gateway unit 300 can use the data storage module 320 to store the current driver's facial expression dynamic information uploaded by the driver's emotion/fatigue monitoring unit 200 and the pressure distribution information at different points of the seat under the driver.
- the vehicle gateway unit 300 can use the edge computing module 330 to perform intelligent emotional analysis and identification on the current driver's facial expression dynamic information uploaded by the driver's emotion/fatigue monitoring unit 200 and the pressure distribution information at different points of the seat under the driver. and fatigue status analysis and determination.
- the alarm prompt unit 400 in this system is installed in the cab of the vehicle 100 to be monitored, the monitoring client software of the vehicle exterior and remote management unit 600, and the driver's emotion/fatigue monitoring unit 200 in the vehicle. , the vehicle gateway unit 300 and the remote management unit 600 are associated.
- the alarm prompt unit 400 here includes a local sound and light alarm or voice prompt device and a remote monitoring client alarm display setting.
- the local sound and light alarm or voice prompt device in the alarm prompt unit 400 is set in the cab and vehicle of automobile transportation. Externally, they are respectively connected to the driver's emotion/fatigue monitoring unit 200 and the vehicle-mounted gateway unit 300; the local alarm prompt unit thus set can be based on the driver's real-time information sent by the driver's emotion/fatigue monitoring unit 200 or sent by the vehicle-mounted gateway unit 300.
- the emotional state and driving behavior analysis results will send out voice prompts or sound and light alarms.
- the remote monitoring client alarm display in the alarm prompt unit 400 is set in the government industry management client software, enterprise operation management client software, and driver and passenger service client software of the remote management unit, and is connected to the vehicle gateway unit 300; set in this way
- the monitoring client of the alarm prompt unit issues a voice or text prompt based on the driver identity verification result or driver status monitoring and determination result sent by the vehicle gateway unit 300 .
- Figure 6 shows a schematic diagram of the composition principle and usage flow of the alarm prompt unit 400 in the driving safety management system based on driver emotion and fatigue analysis given in this example.
- the alarm prompt unit 400 used in the driving safety management system provided in this example consists of an indoor sound and light alarm module 410, an indoor voice prompt module 420, an outdoor sound and light alarm module 430, and an outdoor voice alarm module.
- the prompt module 440 and other vehicle local alarm prompt sub-units and the government industry management client software 610, enterprise operation management client software 620, driver and passenger service client software 630 and other remote monitoring client software alarm prompt sub-units are composed of each other.
- the audible and visual alarm module 410 in the cab in the alarm prompt unit 400 configured in this way is used to issue an audible and visual alarm when the driver's emotion recognition result is abnormal or the fatigue status determination result is abnormal.
- the light emitted by the audible and visual alarm of the optical alarm module is generally red by default.
- the in-cab voice prompt module 420 is used to prompt the driver to adjust his mood or park nearby when the driver's emotion recognition result is abnormal, and to prompt the driver to concentrate or park nearby when the fatigue status determination result is abnormal.
- the in-cab voice prompt module 420 here can be set up independently with the in-cab audible and visual alarm module or combined into a voice audible and visual alarm.
- the audible and visual alarm module 430 outside the cab is used to issue an audible and visual alarm to the crowd outside the vehicle when the driver's emotion recognition result is seriously abnormal or the fatigue status determination result is seriously abnormal.
- the light emitted by the sound and light alarm of the sound and light alarm module here is generally red by default, and the volume of the alarm sound is enough to alert passers-by in a noisy road environment.
- the voice prompt module 440 outside the cab is used to issue voice prompts to people outside the vehicle when the driver's emotion recognition result is seriously abnormal or the fatigue status determination result is seriously abnormal.
- the volume of the voice prompts generated by the voice prompt module 440 outside the cab and the volume of the alarm sound are enough to arouse high alertness of passers-by in a noisy road environment, and the voice broadcast content of the voice warning content is clear enough to be clearly understood by the listener.
- the government industry management client software 610 is used to receive alarm information forwarded by the vehicle gateway through the communication center when the driver's emotion recognition result is abnormal or the fatigue status determination result is abnormal.
- the government industry management client software receives information such as serious abnormality in driver emotion recognition results and serious abnormality in fatigue status determination results, it defaults to initiating the emergency management process according to the emergency plan.
- the enterprise operation management client software 620 is used to receive alarm information forwarded by the vehicle gateway through the communication center when the driver's emotion recognition result is abnormal or the fatigue status determination result is abnormal.
- the enterprise operation management client software 620 receives information such as serious abnormality in driver emotion recognition results and serious abnormality in fatigue status determination results, it defaults to initiating the emergency management process according to the emergency plan and simultaneously sends emergency alarm information to the government industry management client. .
- the driver and passenger service client 630 is used to receive the alarm information forwarded by the vehicle-mounted gateway through the communication center when the driver's emotion recognition result and fatigue status determination result are abnormal, and while issuing the alarm information, it also issues a prompt to the driver to adjust the attitude and re-verify.
- the driver adjusts his mood, or reminds the driver to concentrate or park nearby, etc.
- the content of the voice prompts is set according to the different user roles of the driver and passenger service client. As an example, the driver and passenger service client here issues a voice prompt while issuing an alarm message.
- the content of the voice prompt differs depending on the user role of the driver and passenger service client.
- the driver's service client's voice prompts the driver to adjust his mood or prompts the driver to concentrate or park nearby;
- the escort (safety officer) service client of a hazardous chemical transport vehicle prompts the escort (safety officer) to supervise the driver. Adjust the mood or remind and supervise the driver to concentrate or park nearby, etc.
- the vehicle control unit 500 in this system is placed in the cab of the vehicle 100 to be monitored, and is associated with the driver emotion/fatigue monitoring unit 200, the vehicle gateway unit 300 and the remote management unit 600 in the vehicle.
- the vehicle control unit 500 is installed in the car cab or engine compartment, links the vehicle's starting system, speed control system and braking system, and is associated with the vehicle gateway unit 300 and the driver's emotion/fatigue monitoring unit 200, and through the vehicle
- the gateway unit 300 is associated with the alarm prompt unit 400, the remote management unit 600 and/or the driver emotion/fatigue monitoring unit 200.
- the vehicle control unit 500 can control whether the vehicle speeds up, slows down or brakes urgently based on the driver's real-time emotional state analysis results and fatigue state determination results sent by the driver's emotion/fatigue monitoring unit 200 or sent by the vehicle gateway unit 300 .
- Figure 7 shows a schematic diagram of the composition principle and usage flow of the vehicle control unit 500 used in the driving safety management system provided in this example.
- the vehicle control unit 500 given in this example is composed of an anti-lock braking (ABS) module 510 and/or a speed limit management module 520 and/or an intelligent brake management module 530 and/or an electronically controlled brake assist (
- ABS anti-lock braking
- the EBA modules 540 are combined with each other or formed independently.
- the vehicle control unit 500 configured in this way can use the anti-lock braking (ABS) module 510 to receive the information sent by the driver's emotion/fatigue monitoring unit 200, or the driver's emotion/fatigue monitoring unit 200 passes
- ABS anti-lock braking
- the abnormal driver status monitoring results forwarded by the vehicle-mounted gateway unit 300 or forwarded by the enterprise operation management client software 610 through the communication center 640 and the vehicle-mounted gateway unit 300 can prevent the vehicle from losing control of the driving direction or sideslip that may occur during emergency braking.
- the vehicle control unit 500 may use the speed limit management module 520 to receive what is sent by the driver emotion/fatigue monitoring unit 200 or forwarded by the driver emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 or the enterprise operation management client software 610 The maximum driving speed of the vehicle is controlled through the driver status abnormality monitoring results forwarded by the communication center 640 and the vehicle gateway unit 300 .
- the vehicle control unit 500 can use the intelligent brake management module 530 to receive what is sent by the driver's emotion/fatigue monitoring unit 200, or forwarded by the driver's emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300, or the enterprise operation management client software 610 uses the driver status abnormality monitoring result forwarded by the communication center 640 and the vehicle gateway unit 300 and activates the intelligent braking device to reduce the real-time driving speed of the vehicle.
- the vehicle control unit 500 may use the electronically controlled brake assist (EBA) module 540 to receive information sent by the driver's emotion/fatigue monitoring unit 200 , or forwarded by the driver's emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 , or operated by the enterprise.
- the management client software 610 forwards the abnormal monitoring results of the driver's status through the communication center 640 and the vehicle gateway unit 300 and quickly activates all braking force when emergency braking is required to prevent the driver's slow reaction in the abnormal status from causing the vehicle's braking distance to be too long. A traffic accident occurred.
- the vehicle control unit 500 is preferably directly associated with the driver emotion/fatigue monitoring unit 200, so that when the vehicle control unit 500 receives an abnormal driver state detection result, the vehicle control unit controls the vehicle speed limit, deceleration or emergency. Braking; thus achieving different types of precise control of vehicles under different conditions and effectively ensuring vehicle driving safety.
- the remote management unit 600 in this system is set up on the cloud platform and/or local storage server of the automobile transportation-related government industry authority and/or the personal handheld smart terminal of the relevant manager, the transportation enterprise to which the automobile belongs, and the transportation company.
- the cloud platform and/or local storage server of the relevant parties and/or the personal handheld smart terminals of relevant managers and the personal handheld smart terminals of drivers and passengers are associated with the vehicle-mounted gateway unit 300 and communicate with the driver of the vehicle through the vehicle-mounted gateway unit 300
- the mood/fatigue monitoring unit 200, the alarm prompt unit 400 and the vehicle control unit 500 are associated.
- the remote management unit 600 receives the information sent by the vehicle-mounted gateway unit 300 to identify, analyze, and determine the driver's real-time emotions and fatigue status, and provides vehicle management and driver management based on the emotion recognition results and fatigue status determination results.
- the control instructions are fed back to the vehicle gateway unit 300 and fed back to the alarm prompt unit 400 or the vehicle control unit 500 through the vehicle gateway to issue audible and visual alarms, voice prompts or control the vehicle ACC to open or close or control vehicle speed limit, deceleration or emergency. brake.
- FIG. 8 a schematic diagram of the composition principle and usage flow of the remote management unit 600 used in the driving safety management system given in this example is shown.
- the remote management unit 600 consists of government industry management client software 610, enterprise operation management client software 620, driver and passenger service client software 630 and communication center 640 (such as a cloud platform or local servers and/or personal mobile smart terminals) that cooperate with each other.
- government industry management client software 610 enterprise operation management client software 620
- driver and passenger service client software 630 and communication center 640 (such as a cloud platform or local servers and/or personal mobile smart terminals) that cooperate with each other.
- the remote management unit 600 configured in this way can use the government industry management client software 610 to receive the driver's emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 and forwarded through the communication center 640.
- relevant management instructions are issued and the drivers are managed based on the received driver status monitoring results; when the driver status monitoring results are received showing serious abnormalities, the emergency management process is initiated and relevant emergency disposal instructions are issued.
- the remote management unit 600 can use the enterprise operation management client software 620 to receive and display the driver information sent by the driver emotion/fatigue monitoring unit 200 or forwarded by the driver emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 and through the communication center 640 According to the status monitoring results, relevant management instructions are issued and the drivers are managed based on the received driver status monitoring results; when the driver status monitoring results are received showing serious abnormalities, the emergency management process is initiated and an emergency is issued to the government industry management client. Call the police and issue relevant emergency response instructions.
- the remote management unit 600 can use the driver and passenger service client software 630 to receive and display the driving information sent by the driver's emotion/fatigue monitoring unit 200 or forwarded by the driver's emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 and through the communication center 640
- the driver's status monitoring results are received, and relevant alarm prompts are issued based on the received driver status monitoring results.
- the remote management unit 600 can use the communication center 640 to communicate with the vehicle-mounted gateway unit 300, and receive and store the real-time emotion recognition module 210 of the driver's emotion/fatigue monitoring unit 200 forwarded by the vehicle-mounted gateway unit 300.
- the current driver's facial expression dynamic information collected by the mid-face high-speed camera device, the current driver's head and facial movement information collected by the mid-face video collection device in the fatigue state monitoring module 230 and the seat under the driver collected by the seat pressure state collection device are different. Point pressure situation information or driver status monitoring results.
- the emotional intelligence analysis and recognition component When the emotional intelligence analysis and recognition component, the fatigue state analysis component based on video analysis, or the fatigue state analysis component based on sensor network analysis is set in the remote management unit 600, the emotional intelligence analysis and recognition can be performed through the cloud platform or local server of the communication center 640 , Fatigue state analysis and determination.
- the communication center 640 here also serves as the computer system environment for the government industry management client software 610, the enterprise operation management client software 620, and the driver and passenger service client software 630, supports related software applications, and forwards the government industry to the vehicle gateway unit 300. Management instructions or response instructions of the management client software 610, the enterprise operation management client software 620, and the driver and passenger service client software 630.
- the remote management unit 600 When the driving safety management system based on driver emotion/fatigue analysis given in this example is used for operating vehicles, the remote management unit 600 generally needs to have a government industry management client 610, an enterprise operation management client 620, and a driver and passenger Service client 630 and communication center 640; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used for non-commercial transportation vehicles, the remote management unit 600 does not need to have the government industry management client 610; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used for private vehicles, the remote management unit 600 does not need to have a government industry management client 610, an enterprise operation management client 620, or a driver and passenger service client. 630 may also retain only the driver service client 631, and the communication center 640 may retain only the driver service client 643.
- the present invention further clearly provides specific devices that may be involved in each unit module of the driver management-based automobile transport vehicle safety monitoring system.
- FIG. 3 a schematic diagram of the composition principle and usage flow of the real-time emotion recognition module 210 in the driver emotion/fatigue monitoring unit 200 used in the driving safety management system is shown in this example.
- the real-time emotion recognition module 210 in the driver emotion/fatigue monitoring unit 200 used in the driving safety management system provided in this example includes a facial high-speed camera device 211 and an emotion intelligent analysis and recognition device 212.
- the facial high-speed camera device 211 here is used to collect the facial expression dynamics of the current driver.
- the facial high-speed camera device 211 includes but is not limited to an external high-speed video capture camera and an embedded high-speed video capture camera.
- the types of facial high-speed camera devices include but are not limited to visible light high-speed video collection cameras, near-infrared high-speed video collection cameras, special high-speed cameras for collecting three-dimensional facial expression dynamics, or three-dimensional high-speed facial expression dynamic collectors; the details are based on the installation of the vehicle.
- the conditions and management requirements of the carrier are determined and are not limited here.
- the emotion intelligent analysis and recognition device 212 here is used to intelligently analyze and recognize the facial expression dynamics collected by the facial high-speed camera device 211, and determine the real-time emotional state of the current driver.
- the form of the emotional intelligence analysis and identification device includes but is not limited to the emotion intelligence analysis and identification component built into the driver's emotion/fatigue monitoring unit, the emotion intelligence analysis and identification component in the vehicle gateway unit, and the emotion intelligence analysis and identification component in the remote management unit.
- the types of the intelligent emotion analysis and recognition device include but are not limited to facial expression analysis or micro-expression analysis, and facial micro-vibration analysis based on different technical principles. The details are determined based on the installation conditions of the vehicle and the management requirements of the carrier, and are not limited here.
- FIG. 4 shows a structural principle and a schematic usage flow diagram of the fatigue state monitoring module 230 in the driver emotion/fatigue monitoring unit 200 used in the driving safety management system in this example.
- the fatigue state monitoring module 230 in the driver emotion/fatigue monitoring unit 200 used in the driving safety management system provided in this example includes a head and face video collection device 231 and a fatigue state analysis device 232 based on video analysis. , seat pressure state acquisition device 233, fatigue state analysis device 234 based on sensor network analysis.
- the head and face video collection device 231 here is used to collect the head and face movements of the current driver.
- the head and face video collection devices include but are not limited to external video collection cameras and embedded video collection cameras; at the same time, the types of head and face video collection devices include but are not limited to visible light video collection cameras and near infrared video collection cameras; specifically based on the vehicle's
- the installation conditions and management requirements of the carrier are determined and are not limited here.
- the fatigue state analysis device 232 based on video analysis is used to intelligently analyze and identify the head and face movements collected by the head and face video collection device 231, and determine the fatigue degree of the current driver's real-time state.
- the fatigue state analysis device based on video analysis includes but is not limited to a fatigue state analysis component based on video analysis built into the driver's emotion/fatigue monitoring unit, a fatigue state analysis component based on video analysis in the vehicle gateway unit, and a remote management unit. Fatigue state analysis component based on video analysis. The details are determined based on the installation conditions of the vehicle and the management requirements of the carrier, and are not limited here.
- the seat pressure state collection device 233 here is used to collect the pressure distribution at different points of the seat under the driver.
- the seat pressure state acquisition device includes, but is not limited to, external seat cushions laid on the seat and pressure sensors on the backrest, and embedded pressure sensors built into the seat; at the same time, the type of the seat pressure state acquisition device is based on technology Different principles include but are not limited to piezoelectric sensors, piezoresistive sensors, and strain gauge sensors. The details are determined based on the installation conditions of the vehicle and the management requirements of the carrier, and are not limited here.
- the fatigue state analysis device 234 based on sensor network analysis here is used to intelligently analyze and identify the pressure conditions of different points of the seat under the driver collected by the seat pressure state acquisition device 233, and determine the current real-time state of the driver. Level of fatigue.
- the fatigue state analysis device 234 based on sensor network analysis includes, but is not limited to, a fatigue state analysis component based on sensor network analysis built into the driver's emotion/fatigue monitoring unit, a fatigue state analysis component based on sensor network analysis in the vehicle gateway unit, Fatigue state analysis component based on sensor network analysis in remote management unit. The details are determined based on the installation conditions of the vehicle and the management requirements of the carrier, and are not limited here.
- the driver emotion/fatigue monitoring unit 200 composed of the real-time emotion recognition module 210 and the fatigue state monitoring module 230 can be directly associated with the vehicle control unit 500 or indirectly associated with the vehicle control unit 500 through the vehicle gateway unit 300 and/or remote management unit 600.
- the vehicle control unit 500 controls the vehicle speed limit, deceleration, or During emergency braking, the alarm prompt unit sends out a dangerous status alarm prompt, and the analysis and identification or determination results and the action of the vehicle control unit are uploaded to the remote management unit 600 through the vehicle gateway unit 300.
- the vehicle gateway unit 300 controls the vehicle to The unit 500 sends instructions, and the vehicle control unit 500 controls the vehicle speed limit, deceleration or emergency braking.
- the alarm prompt unit issues a dangerous status alarm prompt.
- the analysis, identification or judgment results and the action status of the vehicle control unit 500 are uploaded to the remote through the vehicle gateway unit 300.
- Management unit 600
- the fatigue state analysis component based on video analysis or the fatigue state analysis component based on sensor network analysis is in the remote management unit 600, driving The current driver's facial expression dynamic information collected by the facial high-speed camera device in the real-time emotion recognition module 210 of the human emotion/fatigue monitoring unit 200, the current driver's head and facial movement information collected by the head and face video collection device in the fatigue state monitoring module 230, and The pressure status information of different points of the seat under the driver collected by the seat pressure status acquisition device is uploaded to the remote management unit 600 through the vehicle gateway unit 300.
- the remote management unit 600 performs intelligent analysis, identification or determination and then analyzes, identifies or determines.
- the results are sent back to the vehicle-mounted gateway unit 300, which sends instructions to the vehicle control unit 500; the vehicle control unit 500 controls the vehicle speed limit, deceleration or emergency braking, and the alarm prompt unit 400 issues a dangerous status alarm prompt; the vehicle control unit 500 actions are uploaded to the remote management unit through the vehicle gateway.
- FIG. 5 shows a structural principle of the vehicle gateway unit 300 and a schematic diagram of its network communication module in the driving safety management system based on driver emotion and fatigue analysis given in this example.
- the network communication module 310 in the vehicle-mounted gateway unit 300 for the driving safety management system consists of a 5G communication device 311, a CAN bus communication device 312, a TCP/IP communication device 313, and Bluetooth (Bluetooth). ) communication device 314, other wireless communication (WIFI, UWB, Zigbee, etc.) devices 315, etc. are combined.
- the network communication module 310 can use the 5G communication device 311 to communicate between the vehicle gateway unit 300 and the remote management unit 600;
- the network communication module 310 can use the CAN bus communication device 312 to implement wired communication using the CAN bus between the vehicle gateway unit 300 and the driver's emotion/fatigue monitoring unit 200, the alarm prompt unit 400 and the vehicle control unit 500.
- the network communication module 310 can use the TCP/IP communication device 313 to implement TCP/IP communication between the vehicle gateway unit 300 and the driver's emotion/fatigue monitoring unit 200, the alarm prompt unit 400, the vehicle control unit 500 and the remote management unit 600. Wired communication or wireless communication.
- the network communication module 310 can use the Bluetooth communication device 314 to implement wireless communication based on the Bluetooth protocol between the vehicle gateway unit 300 and the driver's emotion/fatigue monitoring unit 200 and the alarm prompt unit 400 .
- the network communication module 310 can use other wireless communication (WIFI, UWB, Zigbee, etc.) devices 314 to realize the correspondence between the vehicle gateway unit 300 and the driver emotion/fatigue monitoring unit 200 and the alarm prompt unit 400 based on WIFI, UWB, Zigbee, etc. protocol for wireless communication.
- WIFI wireless communication
- UWB Universal Mobile Broadband
- Zigbee Zigbee
- the network communication module 310 in this example has at least three communication devices including a 5G communication device 311, a CAN bus communication device 312 and a TCP/IP communication device 313.
- the configuration of other wireless communication devices depends on the cameras and sensors installed on the vehicle. The specific communication method used is determined and is not limited here.
- the data storage module 320 in the vehicle-mounted gateway unit 300 for the driving safety management system provided in this example includes a built-in data storage device and an external data storage device.
- the built-in data storage device is used to store the current driver's facial expression dynamic information uploaded by the driver's emotion/fatigue monitoring unit and/or the pressure distribution information at different points of the seat under the driver.
- the built-in data storage device specifically includes but is not limited to built-in static random access memory SRAM, built-in dynamic random access memory DRAM, built-in hard disk, and built-in read-only memory ROM.
- External data storage devices here include but are not limited to external mobile hard drives, USB flash drives, TF memory cards, SD memory cards, rewritable CD-RW, DVD-RAM discs, non-rewritable CD-ROMs, and DVD-ROM discs. .
- the edge computing module 330 in the vehicle gateway unit 300 for the driving safety management system provided in this example includes an AI smart chip containing edge computing functions and a terminal SDK containing edge computing.
- the circuit board AI smart chip with edge computing function and the terminal SDK with edge computing here are used to monitor the current driver's facial expression dynamic information uploaded by the driver's emotion/fatigue monitoring unit and/or different points of the seat under the driver.
- the pressure distribution information is used for emotional intelligence analysis and recognition and/or fatigue status analysis and determination.
- the vehicle-mounted gateway unit 300 composed of the network communication module 310, the data storage module 320, and the edge computing module 330 can be directly associated with the driver emotion/fatigue monitoring unit 200, the vehicle control unit 500, and the alarm prompt unit during specific deployment. 400 and remote management unit 500.
- the vehicle-mounted gateway unit 300 When the vehicle-mounted gateway unit 300 receives an abnormal result of the driver's emotion or fatigue state analysis, the vehicle-mounted gateway unit 300 sends an instruction to the vehicle control unit 500 to control the vehicle speed limit, deceleration or emergency braking, and issues a dangerous state alarm to the alarm prompt unit 400
- the voice prompt reminds the driver to eliminate abnormal emotions or prompts the driver to stop and rest nearby, and forwards the driver status monitoring results and vehicle control unit action information to the remote management unit 600.
- the vehicle-mounted gateway unit 300 forwards the current driver's facial expression dynamic information collected by the facial high-speed camera device to the remote management unit 600. , the current driver's head and face movement information collected by the head and face video collection device and the pressure-bearing situation information of different points of the seat under the driver collected by the seat pressure state collection device; at the same time, it receives the remote management unit 600 for intelligent analysis, identification or determination.
- the recognition or determination results will be analyzed and instructions will be sent to the vehicle control unit 500 and/or the alarm prompt unit 400, and then the vehicle control unit action status will be uploaded to the remote management unit 600.
- the alarm prompt unit 400 in this example can be directly associated with the driver emotion/fatigue monitoring unit 200 and the vehicle gateway unit 300 during specific deployment.
- the alarm prompt unit 400 emits an audible and visual alarm and gives a voice prompt to the driver to adjust his mood, concentrate, or park nearby;
- the vehicle's local alarm prompt subunit receives the driver's emotion/fatigue monitoring unit 200 or the driver's emotion/fatigue monitoring unit 200 sends through the vehicle gateway unit 300, the driver's emotion recognition result is seriously abnormal or the driver's fatigue state is seriously abnormal.
- the alarm prompt unit 400 sends out audible and visual alarms inside and outside the vehicle and voice prompts inside and outside the vehicle to prompt the driver to adjust his mood, concentrate or park nearby, and to remind passers-by to be alert to vehicle anomalies, avoid them in time, or call the police immediately;
- the alarm prompt unit 400 Issue alarm prompts or voice prompts;
- the remote monitoring client software alarm prompt sub-unit receives the driver's emotion/fatigue monitoring unit 200 through the vehicle gateway unit 300 and through the communication center, the driver's emotion recognition result is seriously abnormal or the fatigue state is seriously abnormal, the alarm prompt is
- the unit 400 issues an emergency alarm and voice prompt and starts the emergency management process according to the emergency plan by default.
- FIG. 9 is a schematic diagram showing a structural principle of the government industry management client 610 of the remote management unit in the driving safety management system given in this example.
- the government industry management client 610 used in the remote management unit 600 of the driving safety management system provided in this example includes public security industry management client software 611 and transportation industry management client software according to different competent industry departments. 612, emergency industry management client software 613 and other industry management client software (such as insurance industry management client software) 614, etc.
- the public security industry management client software 611 in the government industry management client 610 is used to monitor and alarm drivers' abnormal emotions and fatigue states.
- the driver's abnormal mood and fatigue status monitoring and alarm can receive and display the driver's abnormal mood and fatigue status monitoring and alarm information.
- a high-risk alarm is received, it can report to the enterprise operation and management client in the form of text, image, voice, file, etc.
- the driver and passenger service client sends out warning information and sends out linkage management information according to the emergency plan settings.
- the transportation industry management client software 612 in the government industry management client 610 is used to monitor and alarm drivers' abnormal emotions and fatigue states.
- the driver's abnormal emotion and fatigue state monitoring and alarm can receive and display the driver's abnormal emotion and fatigue state monitoring and alarm information.
- When receiving a high-risk alarm it can send text, image, voice, file, etc. to the enterprise operation and management client and
- the driver and passenger service client issues warning information and issues linkage management information according to emergency plan settings.
- the emergency industry management client software 613 in the government industry management client 610 is used to monitor and alarm drivers' abnormal emotions and fatigue states.
- the driver's abnormal emotion and fatigue state monitoring and alarm can receive and display the driver's abnormal emotion and fatigue state monitoring and alarm information.
- When receiving a high-risk alarm it can send text, image, voice, file, etc. to the enterprise operation and management client and
- the driver and passenger service client issues warning information and issues linkage management information according to emergency plan settings.
- driver abnormal emotion and fatigue state monitoring and alarm record query is used for driver abnormal emotion and fatigue state monitoring and alarm record query.
- the driver's abnormal mood and fatigue status monitoring and alarm record query supports querying the driver's abnormal mood and fatigue status monitoring and alarm record information of a certain car through the driver's name, vehicle license plate number, and a specified time range.
- Figure 10 shows a schematic diagram of the structure of the enterprise operation management client 620 of the remote management unit in the driving safety management system given in this example.
- the enterprise operation management client 620 of the remote management unit 600 of the driving safety management system includes shipper management client software 621 and carrier management client software 622 depending on the user. , Receiving unit management client software 623.
- the shipping unit management client software 621 in the enterprise operation management client 620 is used to monitor and query the driver's abnormal mood and fatigue status alarm records.
- the driver's abnormal emotion and fatigue state monitoring and alarm record query supports querying the driver's abnormal emotion and fatigue state monitoring and alarm record information of a certain car through the driver's name, vehicle license plate number, and a specified time range.
- the carrier management client software 622 in the enterprise operation management client 620 is used to monitor and alarm drivers' abnormal emotions and fatigue states.
- the driver's abnormal mood and fatigue status monitoring and alarm information can receive and display the driver's abnormal mood and fatigue status monitoring and alarm information.
- the alarm When the alarm is received, it can serve the driver and passengers in the form of text, image, voice, file, etc.
- the client sends a warning message.
- the warning message When a high-risk warning is received, the warning message is sent to the driver and passenger service client in the form of text, image, voice, file, etc. and the emergency plan is immediately activated.
- the receiving unit management client software 623 in the enterprise operation management client 620 is used for driver abnormal emotion and fatigue status monitoring and alarm record query.
- the driver's abnormal emotion and fatigue state monitoring and alarm record query supports querying the driver's abnormal emotion and fatigue state monitoring and alarm record information of a certain car through the driver's name, vehicle license plate number, and a specified time range.
- the enterprise operation management client 620 of the remote management unit 600 When the driving safety management system based on driver emotion/fatigue analysis given in this example is used for cargo transportation operating vehicles, the enterprise operation management client 620 of the remote management unit 600 usually also has the shipping unit management client software 621, Carrier unit management client software 622, receiving unit management client software 623; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used for passenger operating vehicles, non-operating official vehicles and non-operating vehicles When transporting vehicles for business, the enterprise operation management client 620 of the remote management unit 600 can only retain the carrier management client software 622; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used for private use When using a vehicle, the remote management unit 600 may not have the enterprise operation management client 620 .
- Figure 11 shows a schematic diagram of the composition principle of the driver and passenger service client 630 of the remote management unit of the driving safety management system based on driver emotion and fatigue analysis provided in this example.
- the driver and passenger service client 630 of the remote management unit 600 of the driving safety management system provided in this example includes driver service client software 631 and escort (safety officer) service depending on the user.
- Client software 632 included in the driver and passenger service client 630 of the remote management unit 600 of the driving safety management system provided in this example.
- the driver service client software 631 in the driver and passenger service client 630 is used to monitor and alarm the driver's abnormal emotions and fatigue status.
- the driver's abnormal mood and fatigue status monitoring alarm can receive and display the driver's abnormal mood and fatigue status monitoring alarm information.
- the driver's abnormal mood and fatigue status monitoring alarm When receiving a medium-risk level or low-risk level alarm, it will use voice or a specific preset sound, etc.
- alerts When receiving high-risk alerts issued by government industry management clients and carrier management clients, alerts will be issued in the form of high-level alert content settings or specific high-level alert preset sounds. information, and support feedback on correction situations and corrective measures within the specified time through text, images, voice, files, etc.;
- the escort (safety officer) service client software 632 in the driver and passenger service client 630 is used to monitor and alarm the driver's abnormal emotions and fatigue status.
- the driver's abnormal mood and fatigue status monitoring alarm can receive and display the driver's abnormal mood and fatigue status monitoring alarm information.
- the driver's abnormal mood and fatigue status monitoring alarm When receiving a medium-risk level or low-risk level alarm, it will use voice or a specific preset sound, etc.
- alerts When receiving high-risk alerts issued by government industry management clients and carrier management clients, alerts will be issued in the form of high-level alert content settings or specific high-level alert preset sounds.
- the service client software 632 is usually the escort service client software; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used for passenger operating vehicles or school buses, the driving of the remote management unit 600
- the escort (safety officer) service client software 632 in the personnel service client 630 is usually the safety officer service client software; when the driving safety management system based on driver emotion/fatigue analysis given in this example is used, it does not require
- a passenger and cargo transportation vehicle or a private vehicle is equipped with an escort, a security officer or a co-driver, the driver and passenger service client 630 of the remote management unit 600 does not need to have the escort (security officer) service client software.
- FIG. 12 shows a schematic structural diagram of the communication center 640 in the remote management unit in the driving safety management system based on driver emotion and fatigue analysis given in this example.
- the communication center 640 used in the remote management unit 600 of the driving safety management system provided in this example includes a cloud platform 641, a local server 642 and a personal mobile intelligent terminal 643.
- a cloud platform combined with a personal mobile smart terminal is preferably used as a communication center application.
- the details can be determined based on the actual communication conditions of different users and are not limited here.
- the cloud platform 641 in the communication center 640 is used for storage of data information uploaded by the driver emotion/fatigue monitoring unit 200, intelligent analysis, identification and determination of data information uploaded by the driver emotion/fatigue monitoring unit 200, and government industry management client software.
- 610/Enterprise Operation Management Client Software 620/Driver and Passenger Service Client Software 630 shared data resource pool for data reception and invocation, supporting government industry management client software 610/Enterprise Operation Management Client Software 620/Driver and Passenger Service Communication interaction between the computer hardware platform environment to which the client software 630 is applied, the government industry management client software 610/enterprise operation management client software 620/driver and passenger service client software 630, and the vehicle-mounted gateway unit 300.
- the cloud platform 641 communicates with the vehicle-mounted gateway unit 300, receives and stores the facial high-speed camera device in the real-time emotion recognition module 210 of the driver's emotion/fatigue monitoring unit 200 forwarded by the vehicle-mounted gateway unit 300. 211, the current driver's facial expression dynamic information collected by the fatigue state monitoring module 230, the current driver's head and facial movement information collected by the head and face video collection device 231 in the fatigue state monitoring module 230, and the different points of the seat under the driver collected by the seat pressure state collection device 233. Pressure situation information or driver status monitoring results.
- the fatigue state analysis component based on video analysis, or the fatigue state analysis component based on sensor network analysis are set on the cloud platform 641, biometric information comparison, emotional intelligence analysis and recognition, and fatigue state are performed through the cloud platform 641. Analyze and determine, and forward the management instructions or response instructions of the government industry management client software 610, the enterprise operation management client software 620, and the driver and passenger service client software 630 to the vehicle gateway unit 300.
- This cloud platform 641 supports B/S monitoring client applications.
- the B/S monitoring client is developed based on the latest version of China's high-security operating system and China's high-security Xinchuang version browser.
- the local server 642 in the communication center 640 is used for separate storage of data information uploaded by the driver emotion/fatigue monitoring unit 200, intelligent analysis, identification and determination of data information uploaded by the driver emotion/fatigue monitoring unit 200, and government industry management client software.
- 610/Enterprise Operation Management Client Software 620/Driver and Passenger Service Client Software 630 Data sources for data reception and call, supporting government industry management client software 610/Enterprise Operation Management Client Software 620/Driver and Passenger Service Client
- the local server 642 communicates with the vehicle-mounted gateway unit 300 to receive and store the facial high-speed camera device in the real-time emotion recognition module 210 of the driver's emotion/fatigue monitoring unit 200 forwarded by the vehicle-mounted gateway unit 300 211, the current driver's facial expression dynamic information collected by the fatigue state monitoring module 230, the current driver's head and facial movement information collected by the head and face video collection device 231 in the fatigue state monitoring module 230, and the different points of the seat under the driver collected by the seat pressure state collection device 233. Pressure situation information or driver status monitoring results.
- the fatigue state analysis component based on video analysis, or the fatigue state analysis component based on sensor network analysis are set on the local server 642, biometric information comparison, emotional intelligence analysis and recognition, and fatigue state are performed through the local server 642. Analyze and determine, and forward the management instructions or response instructions of the government industry management client software 610, the enterprise operation management client software 620, and the driver and passenger service client software 630 to the vehicle gateway unit 300 respectively.
- the local server 642 supports the C/S monitoring client application.
- the C/S monitoring client is developed based on various latest versions of high-security operating systems based on the Linux kernel;
- the personal handheld smart terminal 643 in this communication center 640 is used as an online query tool and temporary storage space for the data information uploaded by the driver status detection unit 200, and supports the government industry management mobile client APP software 610/enterprise operation management mobile client APP software 620/Driver and Passenger Service Mobile Client APP Software 630 Application Computer Hardware Environment, Government Industry Management Mobile Client APP Software 610/Enterprise Operation Management Mobile Client APP Software 620/Driver and Passenger Service Mobile Client APP Software 630 and Cloud Communication interaction between the platform 641 or the local server 642 and the vehicle-mounted gateway unit 300.
- the personal handheld intelligent terminal 643 communicates with the vehicle-mounted gateway unit 300 through the cloud platform 641 or the local server 642, and receives the driver's information forwarded by the driver's emotion/fatigue monitoring unit 200 through the vehicle-mounted gateway unit 300 and forwarded by the cloud platform 641 or the local server 642.
- the status monitors the alarm information, and forwards the management instructions or response instructions of the government industry management mobile client APP software 610/enterprise operation management mobile client APP software 620/driver and passenger service mobile client APP software 630 to the vehicle gateway unit 300.
- the personal handheld smart terminal 643 supports mobile monitoring client APP applications.
- the mobile monitoring client APP is developed based on operating systems based on Linux kernel such as HarmonyOS microkernel or Android.
- the remote management unit 600 composed of government industry management client software 610, enterprise operation management client software 620, driver and passenger service client software 630 and communication center 640 is set on the cloud platform and/or of the automobile transportation-related government industry authorities.
- the local storage server and/or the personal handheld smart terminals of relevant managers the cloud platform and/or the local storage server and/or the personal handheld smart terminals of relevant managers, the cloud platform of the transportation company and transportation related parties to which the car belongs, and the personal handheld smart terminals of relevant managers, and the personal data of drivers and passengers.
- Handheld smart terminal connected to the vehicle gateway unit.
- the remote management unit 600 receives the driver's emotion and fatigue analysis results sent by the vehicle-mounted gateway unit 300 and gives vehicle management and driver management control instructions, or receives the driver's emotion and fatigue information collection results sent by the vehicle-mounted gateway unit 300 , identify, analyze, and determine the driver's real-time emotion and fatigue state, and provide vehicle management and driver management control instructions based on the emotion recognition results and/or fatigue state determination results, and feed them back to the vehicle-mounted gateway unit 300, and through the vehicle-mounted gateway unit 300
- the gateway unit 300 feeds back to the alarm prompt unit 400 or the vehicle control unit 500 to issue audible and visual alarms, voice prompts or control the vehicle speed limit, deceleration or emergency braking.
- the system can monitor the driver's real-time emotional state and fatigue state during driving. According to the monitoring results Active driving assistance safety prevention and control is used to automatically control the driving status of the vehicle and form a safety warning for the driver to prevent unsafe driving behaviors caused by abnormal driver emotions and excessive fatigue, thereby further ensuring the safety of automobile transportation.
- the above-mentioned method of the present invention can be deployed on physical media, such as hard drives, optical disks, or any electronic devices (such as smart phones, computers, etc.) through program codes.
- the storage medium read), when the machine loads the program code and executes it (such as a smart phone loads and executes it), the machine becomes a device for executing the present invention.
- the above-mentioned method and device of the present invention can also be transmitted in the form of program code through some transmission media, such as cables, optical fibers, or any transmission type.
- a machine such as a smart phone
- the machine becomes the device for carrying out the invention.
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Abstract
本发明公开了一种基于驾驶人情绪和疲劳度分析的行车安全管理***,本***进行情绪识别和/或传感监测数据分析,并进行自动限速、控速和制动等操作控制车辆动作。本***通过对驾驶人驾驶过程中的情绪和疲劳状态进行实时监测,并根据监测结果联动控制车辆的行驶状态和/或对驾驶人形成安全警告,从而实现从驾驶人角度保障各类车辆的交通安全。
Description
本发明涉及汽车行车安全监控技术,具体涉及公路客运、旅游客运、危化品运输车、货运车辆、校车、公交车、出租车、各类平台的网约车或租用车等全部营运性质车辆、非营业性运输车辆及私家车辆的行车安全监控。
随着社会经济的快速发展,公路总里程数快速增加,上路行驶的各类车辆也日益增多。伴随交通事业发展和汽车保有量的增加,道路交通事故数量也在不断攀升。
在造成交通事故的人、车、道路环境三要素中,人的因素占比55%以上,其中,因驾驶人情绪异常及疲劳驾驶导致的交通事故占比近80%。
研究表明,汽车驾驶人的情绪和状态,对安全行车的影响很大。驾驶人在满意、愉快、高兴、欢喜时,反应灵敏度提高,行车精力充沛、精神集中,观察分析情况灵敏果断,操作迅速、敏捷、及时,驾驶的差错少,对行车安全是一种保证。反之,驾驶员存在厌恶、愤怒、恐惧或悲哀等不良情绪时,感受能力降低,精力分散、无精打采、反应迟钝、操作迟缓,时有失误,对行车安全是一种潜在威胁,甚至会导致交通事故。
不仅如此,驾驶人在长时间连续行车后,会产生疲劳和厌倦心理,进而产生生理机能和心理机能的失调,在客观上会出现驾驶技能下降现象。疲劳驾驶会影响到驾驶人的注意、感觉、知觉、思维、判断、意志、决定和运动等诸方面,同样会造成驾驶人感受能力降低,精力分散、反应迟钝、操作迟缓,极易导致交通事故。
目前,“两客一危”车辆要求配备车载终端。而交通运输行业标准JT/T 794-2019《道路运输车辆卫星定位***车载终端技术要求》规定的疲劳驾驶提醒是按照车辆或者驾驶员单次连续驾驶时间、累计驾驶时间超过疲劳驾驶时间阈值时触发,并规定疲劳驾驶时间可由监控中心远程设置,单次连续驾驶时间默认为4h,累计驾驶时间默认为8h。按照该规定,无法确认驾驶人在驾驶当次车辆之前是否已存在长时间驾驶及驾驶当次车辆时的真实疲劳程度,从而可能导致驾驶人在未触发JT/T 794-2019中规定的疲劳驾驶报警时已实际处于疲劳驾驶状态,进而因疲劳驾驶产生困倦,注意力不集中、反应迟钝、判断能力下降、操作失误增加甚至精神恍惚导致发生碰撞、侧翻、坠崖等严重交通事故。
因此,如何通过有效的技术手段对潜在的可能由于驾驶人情绪异常或疲劳驾驶原因导致的事故风险进行有效监控和主动干预,切实提高全部营运性质车辆、非营业性运输车辆及私家车辆等全部行驶车辆的行车安全性,尤其是一旦发生事故,后果会更为严重的“两客一危”类车辆及货运车辆、校车的行车安全性是本领域亟需解决的问题。
发明内容
针对目前道路交通安全事故大多由人的因素导致、现有用于营运车辆***的车载终端应用所存在的问题和漏洞,需要一种能够针对车辆驾驶人情绪和状态是否疲劳进行有效监测的行车安全管理方案,来对由于驾驶人原因导致的事故风险进行有效监控和主动干预,以克服现有各类营运车辆***技术缺陷,弥补现有应用方案存在的风险漏洞,消除因驾驶人因素导致的安全隐患。
为此,本发明的目的在于提供一种基于驾驶人情绪和疲劳度分析的行车安全管理***,其采用驾驶人情绪和疲劳度分析技术来对驾驶人状态进行实时监测,并与车辆控制实现联动,由此对潜在的可能由于驾驶人因素引发的事故风险进行有效的预警和主动干预,防范驾驶人在妨害安全驾驶的异常情绪状态下驾驶车辆、疲劳状态驾驶车辆,保障驾驶人在正常情绪状态、精神状态、体能状态下安全驾驶车辆,并确保当驾驶人出现异常情 绪、疲劳状态时车辆进行主动智能安全防控,以提高车辆运行的安全性。
为了达到上述目的,本发明提供的基于驾驶人情绪和疲劳度分析的行车安全管理***,包括:
驾驶人情绪/疲劳度监测单元,所述驾驶人情绪/疲劳度监测单元实时监控驾驶人的情绪和/或身体状态,并进行情绪识别和/或疲劳程度判定,同时依据实时情绪识别结果和/或疲劳程度判定结果直接关联车辆控制单元或通过车载网关单元关联车辆控制单元,控制车辆运行状态;
车载网关单元,所述车载网关单元分别与驾驶人情绪/疲劳度监测单元、车辆控制单元、报警提示单元和远程管理单元关联;所述车载网关单元还能够配合驾驶人情绪/疲劳度监测单元进行情绪识别和/或疲劳状态判定;
车辆控制单元,所述车辆控制单元联动车辆的控速***和制动***,并与车载网关单元、驾驶人情绪/疲劳度监测单元关联,所述车辆控制单元依据驾驶人情绪/疲劳度监测单元发送的或车载网关单元发送的驾驶人实时情绪状态分析结果及疲劳程度判定结果控制车辆行驶状态;
报警提示单元,所述报警提示单元分别与驾驶人情绪/疲劳度监测单元、车载网关单元连接配合;
远程管理单元,所述远程管理单元通过车辆控制单元配合驾驶人情绪/疲劳度监测单元完成驾驶人情绪识别和/或疲劳状态判定,能够给出对应的车辆管理及驾驶人管理控制指令,反馈给车载网关单元。
进一步地,所述驾驶人情绪/疲劳度监测单元包括实时情绪识别模块、疲劳状态监测模块和智能计算分析模块;
所述实时情绪识别模块用于获取当前驾驶人的面部表情动态,并将获取到的面部表情动态传至自身智能计算分析模块或驾驶人情绪/疲劳度监测单元的共用智能计算分析模块或车载网关单元的智能情绪分析模块或通过车载网关单元传至远程管理单元智能情绪分析模块;
所述疲劳状态监测模块用于获取当前驾驶人的疲劳状态监测信息,并将获取到的信息传至自身疲劳状态判定模块或驾驶人情绪/疲劳度监测单元的共用智能计算分析模块或车载网关单元疲劳状态判定模块或通过车载网关单元传至远程管理单元疲劳状态判定模块;
智能计算分析模块用于对实时情绪识别模块和疲劳状态监测模块的采集信息和采集数据进行智能计算分析,可分别设置于实时情绪识别模块、疲劳状态监测模块内部或独立设置并同时对实时情绪识别模块和疲劳状态监测模块的采集信息和采集数据进行智能计算分析。
进一步地,所述驾驶人情绪/疲劳度监测单元的实时情绪识别模块包括面部高速摄像装置和情绪智能分析识别装置;
所述面部高速摄像装置用于采集当前驾驶人的面部表情动态;
所述情绪智能分析识别装置用于对面部高速摄像装置采集到的面部表情动态进行智能分析识别,判定当前驾驶人实时情绪状态。
进一步地,所述驾驶人情绪/疲劳度监测单元的疲劳状态监测模块包括头面部视频采集装置、基于视频分析的疲劳状态分析装置、座椅承压状态采集装置、基于传感器网络分析的疲劳状态分析装置;
所述头面部视频采集装置用于采集当前驾驶人的头面部动作;
所述基于视频分析的疲劳状态分析装置用于对头面部视频采集装置采集到的头面部动作进行智能分析识别,判定当前驾驶人实时状态的疲劳程度;
所述座椅承压状态集装置用于对驾驶人身下座椅不同点位的承压分布情况进行采集;
所述基于传感器网络分析的疲劳状态分析装置用于对座椅承压状态采集装置采集到的驾驶人身下座椅不同点位的承压情况进行智能分析识别,判定当前驾驶人实时状态的疲劳程度。
进一步地,所述驾驶人情绪/疲劳度监测单元的智能计算分析模块包括数据存储装置和边缘计算装置;
所述数据存储装置用于存储实时情绪识别模块和疲劳状态监测模块的采集信息和采集数据;
所述边缘计算装置用于对实时情绪识别模块和疲劳状态监测模块的采集信息和采集数据进行智能计算分析。
进一步地,所述驾驶人情绪/疲劳度监测单元直接关联车辆控制单元或通过车载网关间接关联车辆控制单元 和/或远程管理单元。
进一步地,所述车载网关单元包括网络通讯模块和/或数据存储模块和/或边缘计算模块;
所述网络通讯模块用于驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间的数据交互;
所述数据存储模块用于存储驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间交互的数据;
所述边缘计算模块用于基于驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间交互的数据进行情绪智能分析识别和/或疲劳状态分析判定。
进一步地,所述车载网关单元的网络通讯模块包括5G通信装置、CAN总线通信装置、TCP/IP通信装置、蓝牙(Bluetooth)通信装置、其他无线通信(WIFI、UWB、Zigbee等)装置。
进一步地,所述车载网关单元的数据存储模块包括内置式数据存储装置和外置式数据存储装置。
进一步地,所述车载网关单元的边缘计算模块包括含边缘计算功能的AI智能芯片、含边缘计算的终端SDK。
进一步地,所述车载网关单元直接关联驾驶人情绪/疲劳度监测单元、车辆控制单元、报警提示单元和远程管理单元。
进一步地,所述报警提示单元包括车辆本地报警提示子单元及远程监控客户端软件报警提示子单元。
进一步地,所述报警提示单元直接关联驾驶人情绪/疲劳度监测单元、车载网关单元。
进一步地,所述车辆控制单元包括防抱死(ABS)模块和/或限速管理模块和/或智能制动管理模块和/或电子控制制动辅助(EBA)模块。
所述防抱死(ABS)模块用于收到驾驶人情绪/疲劳度监测单元发送的或驾驶人情绪/疲劳度监测单元通过车载网关单元转发的驾驶人状态异常监测结果时防止紧急刹车时可能出现的车辆行驶方向失控或侧滑现象;
所述限速管理模块用于收到驾驶人情绪/疲劳度监测单元发送的或驾驶人情绪/疲劳度监测单元通过车载网关单元转发的驾驶人状态异常监测结果时控制车辆最高行驶速度;
所述智能制动管理模块用于收到驾驶人情绪/疲劳度监测单元发送的或驾驶人情绪/疲劳度监测单元通过车载网关单元转发的驾驶人状态异常监测结果时启动智能刹车装置降低车辆实时行驶速度;
所述电子控制制动辅助(EBA)模块用于收到驾驶人情绪/疲劳度监测单元发送的或驾驶人情绪/疲劳度监测单元通过车载网关单元转发的驾驶人状态异常监测结果时需紧急制动时快速启动全部制动力,防范驾驶人异常状态下反应迟钝导致车辆制动距离过长发生交通事故。
进一步地,所述车辆控制单元直接关联驾驶人情绪/疲劳度监测单元和车载网关单元。当车辆控制单元收到驾驶人状态检测异常结果时,车辆控制单元控制车辆限速、降速或紧急制动。
进一步地,所述远程管理单元包括政府行业管理客户端软件、企业运营管理客户端软件、驾乘人员服务客户端软件和通信中心。
进一步地,所述远程管理单元的政府行业管理客户端依据主管行业部门的不同包括公安行业管理客户端软件、交通行业管理客户端软件、应急行业管理客户端软件、其他行业管理客户端软件(如保险行业管理客户端软件)等。
进一步地,所述远程管理单元的企业运营管理客户端依据使用方的不同包括托运单位管理客户端软件、承运单位管理客户端软件、收货单位管理客户端软件。
进一步地,所述远程管理单元的驾乘人员服务管理客户端依据使用方的不同包括驾驶人服务客户端软件、押运人(安全员)服务客户端软件。
进一步地,所述远程管理单元的通信中心包括云平台、本地服务器和个人移动智能终端。
进一步地,所述远程管理单元接收车载网关单元发送的驾驶人情绪和疲劳度分析结果给出车辆管理及驾驶人管理控制指令,或接收车载网关单元发送的驾驶人情绪和疲劳度分析信息采集结果,对驾驶人的实时情绪和/ 或疲劳状态进行识别、分析、判定,并根据情绪识别结果和/或疲劳状态判定结果给出车辆管理及驾驶人管理控制指令,反馈给车载网关单元,并通过车载网关反馈给报警提示单元或车辆控制单元,发出声光报警、语音提示或控制车辆。
本发明提供的基于驾驶人情绪和疲劳度分析的行车安全管理***,能够对驾驶人在驾驶过程中的情绪与疲劳状态进行实时监测,并根据监测结果以主动驾驶辅助安全防控的方式自动联动控制车辆的行驶状态并对驾驶人形成安全警告,从而能够实现从驾驶人角度保障汽车运输的运行安全。
具体的,本发明提供的基于驾驶人情绪和疲劳度分析的行车安全管理***,可对驾驶人在驾驶车辆过程中的面部动态表情或面部振动幅度及驾驶人身下座椅不同区域的承压情况进行实时监测,综合分析驾驶人的实时情绪状态、严谨判定驾驶人的实时疲劳程度,依据情绪状态和实时疲劳状态的分析识别判定结果自动控制车辆自动限速、减速或紧急制动并同时发出语音提示或声光报警,对潜在的可能由于驾驶人因素引发的事故风险进行有效的预警和主动干预,防范驾驶人在妨害安全驾驶的异常情绪状态下驾驶车辆、疲劳状态驾驶车辆,保障驾驶人在正常情绪状态、精神状态、体能状态下安全驾驶车辆,并确保当驾驶人出现异常情绪或疲劳状态时车辆进行主动智能安全防控,以提高车辆运行的安全性。
以下结合附图和具体实施方式来进一步说明本发明。
图1为本发明实例提供的基于驾驶人情绪和疲劳度分析的行车安全管理***的构成原理及使用流程示意图;
图2本发明实例中驾驶人情绪/疲劳度监测单元的构成原理示意图
图3为本发明实例中驾驶人情绪/疲劳度监测单元的情绪识别模块构成原理及使用流程示意图;
图4为本发明实例中驾驶人情绪/疲劳度监测单元的疲劳状态监测模块构成原理及使用流程示意图;
图5为本发明实例中车载网关单元构成原理及其网络通讯模块示意图;
图6为本发明实例中报警提示单元构成原理及使用流程示意图;
图7为本发明实例中车辆控制单元构成原理及使用流程示意图;
图8为本发明实例中远程管理单元构成原理及使用流程示意图;
图9为本发明实例中远程管理单元的政府行业管理客户端构成原理示意图;
图10为本发明实例中远程管理单元的企业运营管理客户端构成原理示意图;
图11为本发明实例中远程管理单元的驾乘人员服务客户端构成原理示意图;
图12为本发明实例中远程管理单元的通信中心构成原理示意图。
为了使本发明实现的技术手段、创作特征、达成目的与功效易于明白了解,下面结合具体图示,进一步阐述本发明。
现有车辆不能对驾驶人的情绪进行实时监测,部分“两客一危”车辆也只能够监测驾驶员连续驾驶的时间,根据监测到的连续驾驶时间来判定驾驶员是否疲劳驾驶;对于监测到的疲劳驾驶数据也只是用于后续的行政管理,无法实现对车辆和/或驾驶人进行实时的管控,更加无法实现对车辆行驶状态和/或驾驶人的驾车状态进行预警与干预,故而实际应用过程中存在诸多的问题和漏洞,特别是针对车辆和/或驾驶员进行管控的实时性以及全面性方面所存在的问题。
为此,本发明创新的从驾驶人管理角度切入,对驾驶人驾驶过程中的实时情绪和疲劳状态进行实时监测,并根据监测结果实时联动控制车辆的行驶状态和/或对驾驶人形成安全警告,由此来对因驾驶人因素可能导致的安全隐患实现智能预警,同时能够智能联动控制车辆的行驶状态,从而实现消除因驾驶人因素导致的安全隐患,从驾驶人管理角度保障相应车辆运输安全。
据此,本发明提供一种基于驾驶人情绪和疲劳度分析的行车安全管理***,该监控***能够对驾驶人在驾驶车辆过程中的面部动态表情或面部振动幅度、及驾驶人身下座椅不同区域的承压情况进行实时监测,综合分析驾驶人的实时情绪状态、严谨判定驾驶人的实时疲劳程度,依据情绪状态、和实时疲劳状态的分析识别判定结果自动控制车辆自动限速、减速或紧急制动并同时发出语音提示或声光报警,对潜在的可能由于驾驶人因素引发的事故风险进行有效的预警和主动干预,防范驾驶人在妨害安全驾驶的异常情绪状态下驾驶车辆、疲劳状态驾驶车辆,保障驾驶人在正常情绪状态、精神状态、体能状态下安全驾驶车辆,并确保当驾驶人出现异常情绪或疲劳状态时车辆进行主动智能安全防控,防范相应车辆交通安全事故,如公路客运、旅游客运、危化品运输车、货运车辆、校车、公交车、出租车、各类平台的网约车或租用车等全部营运性质车辆、非营业性运输车辆及私家车辆等。
参见图1,其所示为本发明给出的一种基于驾驶人情绪和疲劳度分析的行车安全管理***的整体构成原理示意图。
基于图1所示,本基于驾驶人情绪和疲劳度分析的行车安全管理***主要由驾驶人情绪/疲劳度监测单元200、车载网关单元300、报警提示单元400、车辆控制单元500以及远程管理单元600相互配合构成。
本***中的驾驶人情绪/疲劳度监测单元200设置在待监测车辆100的驾驶室内,与车辆的车载网关单元300、报警提示单元400、车辆控制单元500关联,并通过车载网关单元300与远程管理单元600关联。
本驾驶人情绪/疲劳度监测单元200能够实时监控驾驶人的情绪和身体疲劳状态,可通过监测单元自身构建的边缘计算模块,也可通过车载网关单元300的边缘计算模块或通过车载网关单元300的网络通讯模块传输至远程管理单元600进行情绪识别和疲劳状态判定。
同时本驾驶人情绪/疲劳度监测单元200能够依据实时情绪识别结果和疲劳状态判定结果或通过车载网关单元从远程管理单元获取依据相关情绪识别结果和/或疲劳状态判定结果产生的管理指令,直接关联车辆控制单元500或通过车载网关单元300关联车辆控制单元500,控制车辆的防抱死(ABS)模块、限速管理模块、智能制动管理模块或电子控制制动辅助(EBA)模块的工作状态进行限速、控速或减速操作。
作为举例,这里针对的待监测车辆100可以为“两客一危一货一校”车辆、出租车及各类平台的网约车、租用车等全部营运性质车辆、非营业性运输车辆及私家车辆及私家车辆。
参见图2,其所示为本发明给出的一种基于驾驶人情绪和疲劳度分析的驾驶人情绪/疲劳度监测单元的构成原理示意图。
基于图2所示,本实例给出的驾驶人情绪/疲劳度监测单元200由实时情绪识别模块210、智能计算分析模块220与疲劳状态监测模块230互相配合组合构成。
本单元中的实时情绪识别模块210用于获取当前驾驶人的面部表情动态,并将获取到的面部表情动态传至自身智能计算分析功能模块220或驾驶人情绪/疲劳度监测单元的共用智能计算分析模块220或车载网关单元的智能情绪分析功能模块(如车载网关单元中构建的边缘计算模块)或通过车载网关单元传至远程管理单元的智能情绪分析功能模块。
本单元中的疲劳状态监测模块230用于获取当前驾驶人的疲劳状态监测信息,并将获取到的信息传至自身疲劳状态判定功能模块220或驾驶人情绪/疲劳度监测单元的共用智能计算分析模块220或车载网关单元的疲劳状态判定功能模块(如车载网关单元中构建的边缘计算模块)或通过车载网关单元传至远程管理单元疲劳状态判定功能模块。
本驾驶人情绪/疲劳度监测单元200中根据需要还可进一步设置计算分析模块220,该计算分析模块220可与实时情绪识别模块210进行数据交互,作为与实时情绪识别模块210配合的智能情绪分析功能模块,用于接收实时情绪识别模块210所获取到当前驾驶人的面部表情动态数据,这里的动态数据可以为视频、图片等等,并依据该数据进行智能情绪分析,并形成对应的实时情绪分析结果。
再者,该计算分析模块220可与疲劳状态监测模块230进行数据交互,作为与疲劳状态监测模块230配合 的疲劳状态判定功能模块,用于接收疲劳状态监测模块230所获取到的当前驾驶人的疲劳状态监测信息,这里的动态数据可以为视频、图片等等,并依据该数据进行智能疲劳状态判定,并形成对应的判定当前驾驶人实时状态的疲劳程度。
另外,该计算分析模块220可分别与实时情绪识别模块210和疲劳状态监测模块230进行融合为一体,或者相对于实时情绪识别模块210和疲劳状态监测模块230独立设置。
作为举例,该计算分析模块220在实现时,可作为驾驶人情绪/疲劳度监测单元200自身构建的边缘计算模块来呈现,具体的构成技术,可根据实际需求而定,如可基于驾驶人情绪/疲劳度监测单元200硬件自带的边缘计算功能来实现。
基于图1所示,如此设置的驾驶人情绪/疲劳度监测单元200通过实时情绪识别模块210采集当前驾驶人的面部表情动态和/或对采集到的面部表情动态进行智能分析识别,判定当前驾驶人实时情绪状态。
驾驶人情绪/疲劳度监测单元200可通过疲劳状态监测模块230采集当前驾驶人的面部动作和/或对头面部视频采集装置采集到的头面部动作进行智能分析识别,判定当前驾驶人实时状态的疲劳程度;在此基础上,还可进一步配合通过采集驾驶人身下座椅不同点位的承压分布情况来进行智能分析识别,判定当前驾驶人实时状态的疲劳程度;或者直接对座椅承压采集装置采集到的驾驶人身下座椅不同点位的承压情况进行智能分析识别,判定当前驾驶人实时状态的疲劳程度。
本驾驶人情绪/疲劳度监测单元200在进行智能分析识别时,可直接通过在驾驶人情绪/疲劳度监测单元200内构建相应的边缘计算模块来进行智能分析识别,如前述的计算分析模块220。
作为替代方案,本驾驶人情绪/疲劳度监测单元200还可通过与车载网关单元300配合来完成驾驶人情绪、疲劳度智能分析识别。本替代方案中,通过在车载网关单元300中运行相应的边缘计算模块,驾驶人情绪/疲劳度监测单元200中的实时情绪识别模块210将所获取到当前驾驶人的面部表情动态数据,以及疲劳状态监测模块230将所获取到的当前驾驶人的疲劳状态监测信息同步传输至车载网关单元300,由车载网关单元300中运行的边缘计算模块据此进行智能分析识别,判定当前驾驶人实时情绪状态以及实时状态的疲劳程度。
作为另一替代方案,本驾驶人情绪/疲劳度监测单元200还可通过车载网关单元300与远程管理单元600配合来完成驾驶人情绪,疲劳度智能分析识别。本替代方案中,驾驶人情绪/疲劳度监测单元200中的实时情绪识别模块210将所获取到当前驾驶人的面部表情动态数据,以及疲劳状态监测模块230将所获取到的当前驾驶人的疲劳状态监测信息同步传输至车载网关单元300,再由车载网关单元300传输至远程管理单元600,由远程管理单元600据此数据进行智能分析识别,判定当前驾驶人实时情绪状态以及实时状态的疲劳程度。
这样本驾驶人情绪/疲劳度监测单元200在运行时,针对相应监测模块所监测到的数据,可通过驾驶人情绪/疲劳度监测单元200自带的边缘计算模块,也可通过车载网关单元300的边缘计算模块或通过车载网关单元300的网络通讯模块传输至远程管理单元600进行情绪识别和/或疲劳状态判定。
本驾驶人情绪/疲劳度监测单元200同时依据实时情绪识别结果和疲劳状态判定结果;或通过车载网关单元300从远程管理单元600获取依据相关情绪识别结果和疲劳状态判定结果产生的管理指令,直接关联车辆控制单元500或通过车载网关单元300关联车辆控制单元500,由此实现控制车辆的防抱死(ABS)模块、限速管理模块、智能制动管理模块或电子控制制动辅助(EBA)模块的工作状态进行限速、减速或紧急制动操作,实现对车辆运行状态的管控。
基于图1所示,本***中的车载网关单元300设置在待监测车辆100的驾驶室内,与车辆的驾驶人情绪/疲劳度监测单元200、报警提示单元400、车辆控制单元500及远程管理单元600关联。
这里的车载网关单元300至少具备网络通讯功能和/或数据存储功能和/或边缘计算功能并与远程管理单元600之间建立通信通道,以对驾驶人情绪/疲劳度监测单元产生的数据信息进行识别、分析或将相关信息传输至 远程管理单元进行识别、分析,并将远程管理单元返回的管理数据信息发送至车辆控制单元和报警提示单元.
参见图5,其所示为本实例给出的基于驾驶人情绪和疲劳度分析的行车安全管理***中车载网关单元300的一种构成原理及其网络通讯模块示意图。
基于图5所示,本实例给出的用于行车安全管理***的车载网关单元300由网络通讯模块310和/或数据存储模块320和/或边缘计算模块330互相组合构成或独立构成。其中,网络通讯模块310为基本组成部分,即为车载网关单元300的必要组成部分。
基于图1和图5所示,如此设置的车载网关单元300使用网络通讯模块310进行驾驶人情绪/疲劳度监测单元200与报警提示单元400、车辆控制单元500及远程管理单元600之间的数据交互。
本车载网关单元300使用网络通讯模块310可将驾驶人情绪/疲劳度监测单元200上传的当前驾驶人面部表情动态信息和驾驶人身下座椅不同点位的承压分布情况信息或实时情绪分析识别结果和疲劳状态判定结果转发至远程管理单元600。与之配合的,本车载网关单元300还可依据接收到的驾驶人实时情绪分析识别结果和疲劳状态判定结果向车辆控制单元500和报警提示单元400发送相应指令;或依据车载网关单元300的边缘计算模块330得到的实时情绪分析识别结果和疲劳状态判定结果向车辆控制单元500和报警提示单元400发送相应指令;或将接收的远程管理单元600的管理指令向驾驶人情绪/疲劳度监测单元200或报警提示单元400或车辆控制单元500进行转发。
本车载网关单元300可使用数据存储模块320存储驾驶人情绪/疲劳度监测单元200上传的当前驾驶人面部表情动态信息和驾驶人身下座椅不同点位的承压分布情况信息。
本车载网关单元300可使用边缘计算模块330对驾驶人情绪/疲劳度监测单元200上传的当前驾驶人面部表情动态信息和驾驶人身下座椅不同点位的承压分布情况信息进行情绪智能分析识别和疲劳状态分析判定。
基于图1所示,本***中的报警提示单元400设置在待监测车辆100的驾驶室内,车辆外部及远程管理单元600的监控客户端软件,与车辆中的驾驶人情绪/疲劳度监测单元200、车载网关单元300及远程管理单元600关联。
这里的报警提示单元400包括本地声光报警器或语音提示装置以及远程监控客户端报警显示设置,其中报警提示单元400中的本地声光报警器或语音提示装置设置在汽车运输的驾驶室内及车辆外部,分别与驾驶人情绪/疲劳度监测单元200、车载网关单元300连接;如此设置的本地报警提示单元能够依据驾驶人情绪/疲劳度监测单元200发送的或车载网关单元300发送的驾驶人实时情绪状态及驾驶行为分析结果发出语音提示或声光报警。
本报警提示单元400中的远程监控客户端报警显示设置在远程管理单元的政府行业管理客户端软件、企业运营管理客户端软件、驾乘人员服务客户端软件,与车载网关单元300连接;如此设置的报警提示单元的监控客户端依据车载网关单元300发送的驾驶人身份核验结果或驾驶人状态监测判定结果发出语音或文字提示。
图6所示为本实例给出的基于驾驶人情绪和疲劳度分析的行车安全管理***中报警提示单元400构成原理及使用流程示意图。
基于图6所示,本实例给出的用于基于行车安全管理***的报警提示单元400由驾驶室内声光报警模块410、驾驶室内语音提示模块420、驾驶室外声光报警模块430、驾驶室外语音提示模块440等车辆本地报警提示子单元及政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630等远程监控客户端软件报警提示子单元相互配合构成。
基于图1和图6所示,如此设置的报警提示单元400中的驾驶室内声光报警模块410用于驾驶人情绪识别结果异常及疲劳状态判定结果异常时发出声光报警。作为举例,光报警模块的声光报警器发出的光一般默认红色。
驾驶室内语音提示模块420用于驾驶人情绪识别结果异常时提示驾驶人调整情绪或就近停车、疲劳状态判 定结果异常时提示驾驶人集中精神或就近停车。作为举例,这里的驾驶室内语音提示模块420可以与驾驶室内声光报警模块独立设置或合并为语音声光报警器。
驾驶室外声光报警模块430用于驾驶人情绪识别结果严重异常、及疲劳状态判定结果严重异常时发出对车辆外人群的声光报警。作为举例,这里的声光报警模块的声光报警器发出的光一般默认红色,报警声音的音量足以在路面嘈杂环境中引起路人警觉。
驾驶室外语音提示模块440用于驾驶人情绪识别结果严重异常、及疲劳状态判定结果严重异常时对车辆外人群发出语音提示。作为举例,这里驾驶室外语音提示模块440产生的语音提示的音量,报警声音的音量足以在路面嘈杂环境中引起路人高度警觉,语音警示内容的语音播报清晰度足以被听者明确理解。
政府行业管理客户端软件610用于驾驶人情绪识别结果异常、及疲劳状态判定结果异常时接收车载网关通过通信中心转发的报警信息。作为举例,政府行业管理客户端软件接收到驾驶人情绪识别结果严重异常及疲劳状态判定结果严重异常等信息时默认按应急预案启动应急管理流程。
企业运营管理客户端软件620用于驾驶人情绪识别结果异常、及疲劳状态判定结果异常时接收车载网关通过通信中心转发的报警信息。作为举例,企业运营管理客户端软件620接收到驾驶人情绪识别结果严重异常、及疲劳状态判定结果严重异常等信息时默认按应急预案启动应急管理流程并向政府行业管理客户端同步发出紧急报警信息。
驾乘人员服务客户端630用于驾驶人情绪识别结果异常及疲劳状态判定结果异常时接收车载网关通过通信中心转发的报警信息,并在发出报警信息的同时发出提示驾驶人调整姿态重新核验、提示驾驶人调整情绪、或提示驾驶人集中精神或就近停车等依据驾乘人员服务客户端用户角色不同而设定好内容的语音提示。作为举例,这里的驾乘人员服务客户端在发出报警信息的同时发出语音提示,语音提示依据驾乘人员服务客户端用户角色不同内容有所差异。如驾驶人员服务客户端语音提示驾驶人调整情绪或提示驾驶人集中精神或就近停车;危险化学品运输车辆的押运人(安全员)员服务客户端语音提示押运人(安全员)员监督驾驶人调整情绪或提示监督驾驶人集中精神或就近停车等。
基于图1所示,本***中的车辆控制单元500设置在待监测车辆100的驾驶室内,与车辆中的驾驶人情绪/疲劳度监测单元200、车载网关单元300及远程管理单元600关联。
本车辆控制单元500设置在汽车驾驶室或汽车发动机舱,联动车辆的启动***、控速***和制动***,并与车载网关单元300、驾驶人情绪/疲劳度监测单元200关联,并通过车载网关单元300与报警提示单元400、远程管理单元600和/或驾驶人情绪/疲劳度监测单元200关联。
本车辆控制单元500能够依据驾驶人情绪/疲劳度监测单元200发送的或车载网关单元300发送的驾驶人实时情绪状态分析结果及疲劳状态判定结果控制车辆是否限速、降速或紧急制动。
图7所示为本实例给出的用于行车安全管理***的车辆控制单元500的一种构成原理及使用流程示意图。
基于图7所示,本实例给出的车辆控制单元500由防抱死(ABS)模块510和/或限速管理模块520和/或智能制动管理模块530和/或电子控制制动辅助(EBA)模块540互相组合构成或独立构成。
基于图1和图7所示,如此设置的车辆控制单元500可使用防抱死(ABS)模块510接收驾驶人情绪/疲劳度监测单元200发送的、或驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发的、或企业运营管理客户端软件610通过通信中心640及车载网关单元300转发的驾驶人状态异常监测结果并防止紧急刹车时可能出现的车辆行驶方向失控或侧滑现象。
车辆控制单元500可使用限速管理模块520接收驾驶人情绪/疲劳度监测单元200发送的、或驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发的、或企业运营管理客户端软件610通过通信中心640及车载网关单元300转发的驾驶人状态异常监测结果并控制车辆最高行驶速度。
车辆控制单元500可使用智能制动管理模块530接收驾驶人情绪/疲劳度监测单元200发送的、或驾驶人情 绪/疲劳度监测单元200通过车载网关单元300转发的、或企业运营管理客户端软件610通过通信中心640及车载网关单元300转发的驾驶人状态异常监测结果并启动智能刹车装置降低车辆实时行驶速度。
车辆控制单元500可使用电子控制制动辅助(EBA)模块540接收驾驶人情绪/疲劳度监测单元200发送的、或驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发的、或企业运营管理客户端软件610通过通信中心640及车载网关单元300转发的驾驶人状态异常监测结果并在需紧急制动时快速启动全部制动力,防范驾驶人异常状态下反应迟钝导致车辆制动距离过长发生交通事故。
本车辆控制单元500在部署应用时优选直接关联驾驶人情绪/疲劳度监测单元200,这样当车辆控制单元500收到驾驶人状态检测异常结果时,车辆控制单元控制车辆限速、降速或紧急制动;从而实现不同情况对车辆进行不同类别的精确管控,有效保证车辆行驶安全。
基于图1所示,本***中的远程管理单元600设置在汽车运输相关政府行业主管部门的云平台和/或本地存储服务器和/或相关管理人员的个人手持智能终端、汽车所属运输企业及运输相关方的云平台和/或本地存储服务器和/或相关管理人员的个人手持智能终端、驾乘人员的个人手持智能终端,与车载网关单元300关联,并通过车载网关单元300与车辆的驾驶人情绪/疲劳度监测单元200、报警提示单元400及车辆控制单元500关联。
本远程管理单元600在运行时,接收车载网关单元300发送的对驾驶人的实时情绪和疲劳状态进行识别、分析、判定,并根据情绪识别结果和疲劳状态判定结果给出车辆管理及驾驶人管理控制指令,反馈给车载网关单元300,并通过车载网关反馈给报警提示单元400或车辆控制单元500,发出声光报警、语音提示或控制车辆ACC开启、关闭或控制车辆限速、降速或紧急制动。
参见图8,其所示为本实例给出的行车安全管理***中采用到的远程管理单元600的一种构成原理及使用流程示意图。
基于图8所示,本实例给出的远程管理单元600由政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630和通信中心640(如云平台或本地服务器和/或个人移动智能终端)相互配合构成。
基于图1和图8所示,如此设置的远程管理单元600可使用政府行业管理客户端软件610接收显示驾驶人情绪/疲劳度监测单元200通过车载网关单元300并通过通信中心640转发的驾驶人状态监测结果,依据收到的驾驶人状态监测结果发出相关管理指令及对驾驶人进行管理;当收到驾驶人状态监测结果显示严重异常时,启动应急管理流程,发布相关应急处置指令。
远程管理单元600可使用企业运营管理客户端软件620接收显示驾驶人情绪/疲劳度监测单元200发送的或驾驶人情绪/疲劳度监测单元200通过车载网关单元300并通过通信中心640转发的驾驶人状态监测结果,依据收到的驾驶人状态监测结果发出相关管理指令及对驾驶人进行管理;当收到驾驶人状态监测结果显示严重异常时,启动应急管理流程,向政府行业管理客户端发出紧急报警并发布相关应急处置指令。
远程管理单元600可使用驾乘人员服务客户端软件630接收显示驾驶人情绪/疲劳度监测单元200发送的或驾驶人情绪/疲劳度监测单元200通过车载网关单元300并通过通信中心640转发的驾驶人状态监测结果,依据收到的驾驶人状态监测结果发出相关报警提示。
远程管理单元600可使用通信中心640和车载网关单元300进行通信,接收并存储驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发的驾驶人情绪/疲劳度监测单元200实时情绪识别模块210中面部高速摄像装置采集的当前驾驶人面部表情动态信息、疲劳状态监测模块230中头面部视频采集装置采集的当前驾驶人头面部动作信息和座椅承压状态采集装置采集的驾驶人身下座椅不同点位的承压情况信息或驾驶人状态监测结果。当情绪智能分析识别组件、基于视频分析的疲劳状态分析组件或基于传感器网络分析的疲劳状态分析组件设置在远程管理单元600时,则可通过通信中心640的云平台或本地服务器进行情绪智能分析识别、疲劳状态分析判定。
这里的通信中心640同时作为政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630的计算机***环境,支撑相关软件应用,并向车载网关单元300转发政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630的管理指令或应答指令。
当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于营运车辆时,远程管理单元600一般需同时具备政府行业管理客户端610、企业运营管理客户端620、驾乘人员服务客户端630和通信中心640;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于非营业运输车辆时,远程管理单元600可不具备政府行业管理客户端610;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于私家车辆时,远程管理单元600可不具备政府行业管理客户端610、企业运营管理客户端620,驾乘人员服务客户端630也可仅保留驾驶人员服务客户端631,通信中心640也可仅保留驾驶人员服务客户端643。
在此基础上,本发明进一步明确给出了基于驾驶人管理的汽车运输车辆安全监控***各单元构成模块可能涉及的具体装置。
参见图3,其所示为本实例给出的用于行车安全管理***的驾驶人情绪/疲劳度监测单元200中实时情绪识别模块210的一种构成原理以及使用流程示意图。
基于图3所示,本实例给出的用于行车安全管理***的驾驶人情绪/疲劳度监测单元200中实时情绪识别模块210包括面部高速摄像装置211和情绪智能分析识别装置212。
这里的面部高速摄像装置211用于采集当前驾驶人的面部表情动态。该面部高速摄像装置211包括但不限于外置的高速视频采集摄像头、嵌入式高速视频采集摄像头。该面部高速摄像装置类型包括但不限于可见光高速视频采集摄像头、近红外高速视频采集摄像头、用于采集三维人脸表情动态的专用高速摄像头或三维高速人脸表情动态采集仪;具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
这里的情绪智能分析识别装置212用于对面部高速摄像装置211采集到的面部表情动态进行智能分析识别,判定当前驾驶人实时情绪状态。该情绪智能分析识别装置形态包括但不限于驾驶人情绪/疲劳度监测单元内置的情绪智能分析识别组件、车载网关单元中的情绪智能分析识别组件、远程管理单元中的情绪智能分析识别组件。再者,该情绪智能分析识别装置类型依据技术原理不同包括但不限于面部表情分析或微表情分析、面部微振动分析。具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
进一步参见图4,其所示为本实例给出的用于行车安全管理***的驾驶人情绪/疲劳度监测单元200中疲劳状态监测模块230的一种构成原理以及使用流程示意图。
基于图4所示,本实例给出的用于行车安全管理***的驾驶人情绪/疲劳度监测单元200中疲劳状态监测模块230包括头面部视频采集装置231、基于视频分析的疲劳状态分析装置232、座椅承压状态采集装置233、基于传感器网络分析的疲劳状态分析装置234。
这里的头面部视频采集装置231用于采集当前驾驶人的头面部动作。该头面部视频采集装置包括但不限于外置的视频采集摄像头、嵌入式视频采集摄像头;同时该头面部视频采集装置类型包括但不限于可见光视频采集摄像头、近红外视频采集摄像头;具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
这里基于视频分析的疲劳状态分析装置232用于对头面部视频采集装置231采集到的头面部动作进行智能分析识别,判定当前驾驶人实时状态的疲劳程度。该基于视频分析的疲劳状态分析装置包括但不限于驾驶人情绪/疲劳度监测单元内置的基于视频分析的疲劳状态分析组件、车载网关单元中的基于视频分析的疲劳状态分析组件、远程管理单元中的基于视频分析的疲劳状态分析组件。具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
这里的座椅承压状态集装置233用于对驾驶人身下座椅不同点位的承压分布情况进行采集。该座椅承压状态采集装置包括但不限于铺设在座椅上的外置椅垫和靠背上的压力传感器、座椅内置的嵌入式压力传感器;同 时该座椅承压状态采集装置类型依据技术原理不同包括但不限于压电传感器、压阻传感器、应变式传感器。具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
这里的基于传感器网络分析的疲劳状态分析装置234用于对座椅承压状态采集装置233采集到的驾驶人身下座椅不同点位的承压情况进行智能分析识别,判定当前驾驶人实时状态的疲劳程度。该基于传感器网络分析的疲劳状态分析装置234包括但不限于驾驶人情绪/疲劳度监测单元内置的基于传感器网络分析的疲劳状态分析组件、车载网关单元中的基于传感器网络分析的疲劳状态分析组件、远程管理单元中的基于传感器网络分析的疲劳状态分析组件。具体依据车辆的安装条件及承运单位管理要求确定,此处不加以限定。
据此实时情绪识别模块210、疲劳状态监测模块230相互配合构成的驾驶人情绪/疲劳度监测单元200在进行部署时,可直接关联车辆控制单元500或通过车载网关单元300间接关联车辆控制单元500和/或远程管理单元600。
当驾驶人情绪/疲劳度监测单元200直接关联车辆控制单元500时,驾驶人实时情绪识别结果和/或疲劳状态监测结果达到或超出危险阈值时,车辆控制单元500控制车辆限速、降速或紧急制动,报警提示单元发出危险状态报警提示,分析识别或判定结果及车辆控制单元动作情况通过车载网关单元300上传至远程管理单元600。
当驾驶人情绪/疲劳度监测单元200通过车载网关单元300间接关联车辆控制单元500时,驾驶人实时情绪识别结果和/或疲劳状态监测结果达到或超出危险阈值后,车载网关单元300向车辆控制单元500发送指令,车辆控制单元500控制车辆限速、降速或紧急制动,报警提示单元发出危险状态报警提示,分析识别或判定结果及车辆控制单元500动作情况通过车载网关单元300上传至远程管理单元600。
当驾驶人情绪/疲劳度监测单元200通过车载网关单元300间接关联车辆控制单元500,但基于视频分析的疲劳状态分析组件或基于传感器网络分析的疲劳状态分析组件在远程管理单元600中时,驾驶人情绪/疲劳度监测单元200中的实时情绪识别模块210中面部高速摄像装置采集的当前驾驶人面部表情动态信息、疲劳状态监测模块230中头面部视频采集装置采集的当前驾驶人头面部动作信息和座椅承压状态采集装置采集的驾驶人身下座椅不同点位的承压情况信息通过车载网关单元300上传至远程管理单元600,远程管理单元600进行智能分析识别或判定后将分析识别或判定结果回传给车载网关单元300,车载网关单元300向车辆控制单元500送指令;车辆控制单元500控制车辆限速、降速或紧急制动,报警提示单元400发出危险状态报警提示;车辆控制单元500动作情况通过车载网关上传至远程管理单元。
参见图5,其所示为本实例给出的基于驾驶人情绪和疲劳度分析的行车安全管理***中车载网关单元300的一种构成原理及其网络通讯模块示意图。
基于图5所示,本实例给出的用于行车安全管理***的车载网关单元300中的网络通讯模块310由5G通信装置311、CAN总线通信装置312、TCP/IP通信装置313、蓝牙(Bluetooth)通信装置314、其他无线通信(WIFI、UWB、Zigbee等)装置315等组合而成。
其中,网络通讯模块310可使用5G通信装置311进行车载网关单元300与远程管理单元600之间的通信;
网络通讯模块310可使用CAN总线通信装置312实现在车载网关单元300与驾驶人情绪/疲劳度监测单元200、报警提示单元400及车辆控制单元500之间采用CAN总线方式的有线通信。
网络通讯模块310可使用TCP/IP通信装置313实现车载网关单元300与驾驶人情绪/疲劳度监测单元200、报警提示单元400、车辆控制单元500及远程管理单元600之间的TCP/IP方式的有线通信或无线通信。
网络通讯模块310可使用蓝牙(Bluetooth)通信装置314实现车载网关单元300与驾驶人情绪/疲劳度监测单元200、报警提示单元400之间的基于蓝牙(Bluetooth)协议的无线通信。
网络通讯模块310可使用其他无线通信(WIFI、UWB、Zigbee等)装置314实现车载网关单元300与驾驶人情绪/疲劳度监测单元200、报警提示单元400之间的基于WIFI、UWB、Zigbee等对应协议的无线通信。
作为优选方案,本实例中的网络通讯模块310至少具备5G通信装置311、CAN总线通信装置312和TCP/IP 通信装置313等三种通信装置,其他无线通信装置的配备依据车辆安装的摄像头、传感器采用的具体通信方式确定,此处不加以限定。
基于
图5所示,本实例给出的用于行车安全管理***的车载网关单元300中的数据存储模块320包括内置式数据存储装置和外置式数据存储装置。
其中,内置式数据存储装置用于存储驾驶人情绪/疲劳度监测单元上传的当前驾驶人面部表情动态信息和/或驾驶人身下座椅不同点位的承压分布情况信息。该内置式数据存储装置具体包括但不限于内置静态随机存储器SRAM、内置动态随机存储器DRAM、内置硬盘、内置只读存储器ROM。
这里的外置式数据存储装置包括但不限于外接移动硬盘、USB闪存盘、TF存储卡、SD存储卡、可擦写CD-RW、DVD-RAM光盘、不可擦写CD-ROM、DVD-ROM光盘。
基于图5所示,本实例给出的用于行车安全管理***的车载网关单元300中的边缘计算模块330包括含边缘计算功能的AI智能芯片、含边缘计算的终端SDK。
这里的含边缘计算功能的电路板AI智能芯片、含边缘计算的终端SDK用于对驾驶人情绪/疲劳度监测单元上传的当前驾驶人面部表情动态信息和/或驾驶人身下座椅不同点位的承压分布情况信息进行情绪智能分析识别和/或疲劳状态分析判定。
据此网络通讯模块310、数据存储模块320、边缘计算模块330配合构成的车载网关单元300在进行具体部署时,可直接关联驾驶人情绪/疲劳度监测单元200、车辆控制单元500、报警提示单元400和远程管理单元500。
当车载网关单元300收到驾驶人情绪或疲劳状态分析异常结果时,车载网关单元300向车辆控制单元500发送指令控制车辆限速、降速或紧急制动,向报警提示单元400发出危险状态报警并语音提示提醒驾驶人消除异常情绪或提示驾驶人就近停车休息,并向远程管理单元600转发驾驶员状态监测结果及车辆控制单元动作信。
当基于视频分析的疲劳状态分析组件或基于传感器网络分析的疲劳状态分析组件在远程管理单元600中时,车载网关单元300向远程管理单元600转发面部高速摄像装置采集的当前驾驶人面部表情动态信息、头面部视频采集装置采集的当前驾驶人头面部动作信息和座椅承压状态采集装置采集的驾驶人身下座椅不同点位的承压情况信息;同时接收远程管理单元600进行智能分析识别或判定后将分析识别或判定结果并向车辆控制单元500和/或报警提示单元400发送指令,然后将车辆控制单元动作情况上传至远程管理单元600。
进一步结合图6所示,本实例中的报警提示单元400在具体部署时,可直接关联驾驶人情绪/疲劳度监测单元200、车载网关单元300。
当车辆本地报警提示子单元收到驾驶人情绪/疲劳度监测单元200发出的或驾驶人情绪/疲劳度监测单元200通过车载网关单元300发出的驾驶人情绪识别结果异常或疲劳状态异常监测结果时,报警提示单元400发出声光报警并语音提示驾驶人调整情绪、集中精神或就近停车;
当车辆本地报警提示子单元收到驾驶人情绪/疲劳度监测单元200发出的或驾驶人情绪/疲劳度监测单元200通过车载网关单元300发出的驾驶人情绪识别结果严重异常或疲劳状态严重异常监测结果时,报警提示单元400发出车辆内外声光报警及车辆内外语音提示驾驶人调整情绪、集中精神或就近停车,提示路人警惕车辆异常、及时躲避或立即报警;
当远程监控客户端软件报警提示子单元收到驾驶人情绪/疲劳度监测单元200通过车载网关单元300并通过通信中心发出的驾驶人情绪识别结果异常或疲劳状态异常监测结果时,报警提示单元400发出报警提示或发出语音提示;
当远程监控客户端软件报警提示子单元收到驾驶人情绪/疲劳度监测单元200通过车载网关单元300并通过 通信中心发出的驾驶人情绪识别结果严重异常或疲劳状态严重异常监测结果时,报警提示单元400发出紧急报警及语音提示并默认按应急预案启动应急管理流程。
进一步参见图9,其所示为本实例给出的行车安全管理***中的远程管理单元的政府行业管理客户端610的一种构成原理示意图。
基于图9所示,本实例给出的用于行车安全管理***的远程管理单元600的政府行业管理客户端610依据主管行业部门的不同包括公安行业管理客户端软件611、交通行业管理客户端软件612、应急行业管理客户端软件613和其他行业管理客户端软件(如保险行业管理客户端软件)614等。
政府行业管理客户端610中的公安行业管理客户端软件611用于驾驶人异常情绪及疲劳状态监测报警。驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人异常情绪、及疲劳状态监测报警信息,当接收到高风险警情时能以文字、图像、语音、文件等方式向企业运营管理客户端及驾乘人员服务客户端发出警示信息并按应急预案设定发出联动管理信息。
政府行业管理客户端610中的交通行业管理客户端软件612用于驾驶人异常情绪及疲劳状态监测报警。驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人异常情绪及疲劳状态监测报警信息,当接收到高风险警情时能以文字、图像、语音、文件等方式向企业运营管理客户端及驾乘人员服务客户端发出警示信息并按应急预案设定发出联动管理信息。
政府行业管理客户端610中的应急行业管理客户端软件613用于驾驶人异常情绪及疲劳状态监测报警。驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人异常情绪及疲劳状态监测报警信息,当接收到高风险警情时能以文字、图像、语音、文件等方式向企业运营管理客户端及驾乘人员服务客户端发出警示信息并按应急预案设定发出联动管理信息。
政府行业管理客户端610中的其他行业管理客户端软件(如保险行业管理客户端软件)614用于驾驶人异常情绪及疲劳状态监测报警记录查询。驾驶人异常情绪及疲劳状态监测报警记录查询支持通过驾驶人姓名、车辆车牌号码、指定时间范围查询某辆汽车的驾驶人异常情绪及疲劳状态监测报警记录信息。
其中其他行业管理客户端软件还支持依据相应行业管理需求进行功能定制或在用户权限范围内自主选择开通或关闭相关监控客户端功能,此处不加以限定。
图10所示为本实例给出的行车安全管理***中的远程管理单元的企业运营管理客户端620构成原理示意图。
基于图10所示,本实例给出的用于行车安全管理***的远程管理单元600的企业运营管理客户端620依据使用方的不同包括托运单位管理客户端软件621、承运单位管理客户端软件622、收货单位管理客户端软件623。
企业运营管理客户端620中的托运单位管理客户端软件621用于驾驶人异常情绪及疲劳状态监测报警记录查询。作为举例,驾驶人异常情绪及疲劳状态监测报警记录查询支持通过驾驶人姓名、车辆车牌号码、指定时间范围查询某辆汽车的驾驶人异常情绪及疲劳状态监测报警记录信息。
企业运营管理客户端620中的承运单位管理客户端软件622用于驾驶人异常情绪及疲劳状态监测报警。
作为举例,这里的驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人异常情绪及疲劳状态监测报警信息,当接收到警情时以文字、图像、语音、文件等方式向驾乘人员服务客户端发出警示信息,当接收到高风险警情时,以文字、图像、语音、文件等方式向驾乘人员服务客户端发出警示信息并立即启动应急预案。
企业运营管理客户端620中的收货单位管理管理客户端软件623用于驾驶人异常情绪及疲劳状态监测报警记录查询。作为举例,驾驶人异常情绪及疲劳状态监测报警记录查询支持通过驾驶人姓名、车辆车牌号码、指定时间范围查询某辆汽车的驾驶人异常情绪及疲劳状态监测报警记录信息。
当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于货物运输类营运车辆时,远程管理单元600的企业运营管理客户端620通常同时具备托运单位管理客户端软件621、承运单位管理客户端软件622、 收货单位管理客户端软件623;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于客运类营运车辆、非营运公务用车及非营业性运输车辆时,远程管理单元600的企业运营管理客户端620可仅保留承运单位管理客户端软件622;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于私家车辆时,远程管理单元600可不具备企业运营管理客户端620。
图11所示为本实例给出的基于驾驶人情绪和疲劳度分析的行车安全管理***的远程管理单元的驾乘人员服务客户端630的一种构成原理示意图。
基于图11示,本实例给出的用于行车安全管理***的远程管理单元600的驾乘人员服务客户端630依据使用方的不同包括驾驶人服务客户端软件631、押运人(安全员)服务客户端软件632。
驾乘人员服务客户端630中的驾驶人服务客户端软件631用于驾驶人异常情绪及疲劳状态监测报警。
作为举例,这里的驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人员异常情绪及疲劳状态监测报警信息,当接收到中风险等级或低风险等级警情时以语音或特定预设声音等方式发出警示信息,当接收到政府行业管理客户端和承运单位管理客户端下发的高风险警情时,以高等级警情内容设定语音或特定高等级警情预设声音等方式发出警示信息,并支持在规定时间内以文字、图像、语音、文件等方式反馈纠正情况及纠正措施;
驾乘人员服务客户端630中的押运人(安全员)服务客户端软件632用于驾驶人异常情绪及疲劳状态监测报警。
作为举例,这里的驾驶人异常情绪及疲劳状态监测报警能接收并显示驾驶人员异常情绪及疲劳状态监测报警信息,当接收到中风险等级或低风险等级警情时以语音或特定预设声音等方式发出警示信息,当接收到政府行业管理客户端和承运单位管理客户端下发的高风险警情时,以高等级警情内容设定语音或特定高等级警情预设声音等方式发出警示信息,持续语音提示押运人(安全员)员监督驾驶人员调整异常情绪或择机停车休息,并支持在规定时间内以文字、图像、语音、文件等方式反馈纠正情况及纠正措施。
当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于危险品货物运输类营运车辆时,远程管理单元600的驾乘人员服务客户端630中的押运人(安全员)服务客户端软件632通常为押运人服务客户端软件;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于客运类营运车辆或校车时,远程管理单元600的驾乘人员服务客户端630中的押运人(安全员)服务客户端软件632通常为安全员服务客户端软件;当本实例给出的基于驾驶人情绪/疲劳度分析的行车安全管理***用于不要求配备押运人员、安全人员或副驾驶的客货运输车辆或私家车辆时,远程管理单元600的驾乘人员服务客户端630可不具备押运人(安全员)服务客户端软件。
进一步参阅图12,其所示为本实例给出的基于驾驶人情绪和疲劳度分析的行车安全管理***中的远程管理单元中的通信中心640的一种构成示意图。
基于图12所示,本实例给出的用于行车安全管理***的远程管理单元600的通信中心640包括云平台641、本地服务器642和个人移动智能终端643。
本实例优选采用云平台组合个人移动智能终端的通信中心应用方式,具体可依据不同用户的实际通信条件确定,此处不加以限定。
本通信中心640中的云平台641用于驾驶人情绪/疲劳度监测单元200上传数据信息的存储、驾驶人情绪/疲劳度监测单元200上传数据信息的智能分析识别判定、政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630的数据接收及调用的共享数据资源池、支撑政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630应用的计算机硬件平台环境、政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630与车载网关单元300之间的通信交互。
云平台641和车载网关单元300进行通信,接收并存储驾驶人情绪/疲劳度监测单元200通过车载网关单元 300转发的驾驶人情绪/疲劳度监测单元200中实时情绪识别模块210中面部高速摄像装置211采集的当前驾驶人面部表情动态信息、疲劳状态监测模块230中头面部视频采集装置231采集的当前驾驶人头面部动作信息和座椅承压状态采集装置233采集的驾驶人身下座椅不同点位的承压情况信息或驾驶人状态监测结果。
当情绪智能分析识别组件、基于视频分析的疲劳状态分析组件或基于传感器网络分析的疲劳状态分析组件设置在云平台641时,通过云平台641进行生物特征信息比对、情绪智能分析识别、疲劳状态分析判定,并向车载网关单元300转发政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630的管理指令或应答指令。
本云平台641支持B/S监控客户端应用,B/S监控客户端基于中国最新版本高安全操作***及中国高安全信创版浏览器开发。
通信中心640中的本地服务器642用于驾驶人情绪/疲劳度监测单元200上传数据信息的分别存储、驾驶人情绪/疲劳度监测单元200上传数据信息的智能分析识别判定、政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630分别进行数据接收及调用的数据源、支撑政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630应用的计算机硬件平台环境、政府行业管理客户端软件610/企业运营管理客户端软件620/驾乘人员服务客户端软件630与车载网关单元300的通信交互。
本地服务器642和车载网关单元300进行通信,接收并存储驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发的驾驶人情绪/疲劳度监测单元200中实时情绪识别模块210中面部高速摄像装置211采集的当前驾驶人面部表情动态信息、疲劳状态监测模块230中头面部视频采集装置231采集的当前驾驶人头面部动作信息和座椅承压状态采集装置233采集的驾驶人身下座椅不同点位的承压情况信息或驾驶人状态监测结果。
当情绪智能分析识别组件、基于视频分析的疲劳状态分析组件或基于传感器网络分析的疲劳状态分析组件设置在本地服务器642时,通过本地服务器642进行生物特征信息比对、情绪智能分析识别、疲劳状态分析判定,并向车载网关单元300分别转发政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630的管理指令或应答指令。
本地服务器642支持C/S监控客户端应用,C/S监控客户端基于Linux内核的各类最新版本高安全操作***开发;
本通信中心640中的个人手持智能终端643用于驾驶人状态检测单元200上传数据信息的在线查询工具和临时存储空间、支撑政府行业管理移动客户端APP软件610/企业运营管理移动客户端APP软件620/驾乘人员服务移动客户端APP软件630应用的计算机硬件环境、政府行业管理移动客户端APP软件610/企业运营管理移动客户端APP软件620/驾乘人员服务移动客户端APP软件630与云平台641或本地服务器642及车载网关单元300的通信交互。
个人手持智能终端643通过云平台641或本地服务器642和车载网关单元300进行通信,接收驾驶人情绪/疲劳度监测单元200通过车载网关单元300转发并通过云平台641或本地服务器642转发的驾驶人状态监测报警信息,并向车载网关单元300转发政府行业管理移动客户端APP软件610/企业运营管理移动客户端APP软件620/驾乘人员服务移动客户端APP软件630的管理指令或应答指令。
该个人手持智能终端643支持移动监控客户端APP应用,移动监控客户端APP基于HarmonyOS微内核或安卓(Android)等基于Linux内核的操作***开发。
据此政府行业管理客户端软件610、企业运营管理客户端软件620、驾乘人员服务客户端软件630和通信中心640构成的远程管理单元600设置在汽车运输相关政府行业主管部门的云平台和/或本地存储服务器和/或相关管理人员的个人手持智能终端、汽车所属运输企业及运输相关方的云平台和/或本地存储服务器和/或相关管理人员的个人手持智能终端、驾乘人员的个人手持智能终端,与车载网关单元连接.
如此,本远程管理单元600接收车载网关单元300发送的驾驶人情绪和疲劳度分析结果给出车辆管理及驾驶人管理控制指令,或接收车载网关单元300发送的驾驶人情绪和疲劳度信息采集结果,对驾驶人的实时情绪 和疲劳状态进行识别、分析、判定,并根据情绪识别结果和/或疲劳状态判定结果给出车辆管理及驾驶人管理控制指令,反馈给车载网关单元300,并通过车载网关单元300反馈给报警提示单元400或车辆控制单元500,发出声光报警、语音提示或控制车辆限速、降速或紧急制动。
由此形成的基于驾驶人情绪和疲劳度分析的行车安全管理***在运行时,本***在车辆的行驶过程中能够对驾驶人在驾驶过程中的实时情绪状态和疲劳状态进行监测,根据监测结果以主动驾驶辅助安全防控的方式自动联动控制车辆的行驶状态并对驾驶人形成安全警告,防范因驾驶人情绪异常、过度疲劳出现的不安全驾驶行为,从而进一步保证汽车运输行驶的安全性。
最后需要说明的上述本发明的方法,或特定***单元、或其部份单元,可以透过程序代码布设于实体媒体,如硬盘、光盘片、或是任何电子装置(如智能型手机、计算机可读取的储存媒体),当机器加载程序代码且执行(如智能型手机加载且执行),机器成为用以实行本发明的装置。上述本发明的方法与装置亦可以程序代码型态透过一些传送媒体,如电缆、光纤、或是任何传输型态进行传送,当程序代码被机器(如智能型手机)接收、加载且执行,机器成为用以实行本发明的装置。
以上显示和描述了本发明的基本原理、主要特征和本发明的优点。本行业的技术人员应该了解,本发明不受上述实施例的限制,上述实施例和说明书中描述的只是说明本发明的原理,在不脱离本发明精神和范围的前提下,本发明还会有各种变化和改进,这些变化和改进都落入要求保护的本发明范围内。本发明要求保护范围由所附的权利要求书及其等效物界定。
Claims (10)
- 一种基于驾驶人情绪和疲劳度分析的行车安全管理***,其特征在于,包括:驾驶人情绪/疲劳度监测单元,所述驾驶人情绪/疲劳度监测单元包括实时情绪识别模块和疲劳状态监测模块;所述实时情绪识别模块用于获取当前驾驶人的面部表情动态,并将获取到的面部表情动态传至自身智能情绪分析模块或车载网关单元智能情绪分析模块或通过车载网关单元传至远程管理单元智能情绪分析模块;所述疲劳状态监测模块用于获取当前驾驶人的疲劳状态监测信息,并将获取到的信息传至自身疲劳状态判定模块或车载网关单元疲劳状态判定模块或通过车载网关单元传至远程管理单元疲劳状态判定模块;所述驾驶人情绪/疲劳度监测单元能够依据实时情绪识别结果和/或疲劳状态判定结果直接关联车辆控制单元通过车载网关单元关联车辆控制单元,控制车辆运行状态;车载网关单元,所述车载网关单元分别与驾驶人情绪/疲劳度监测单元、车辆控制单元、报警提示单元和远程管理单元关联;所述车载网关单元还能够配合驾驶人情绪/疲劳度监测单元进行情绪识别和/或疲劳状态判定;车辆控制单元,所述车辆控制单元联动车辆控速***和制动***,并与车载网关单元、驾驶人情绪/疲劳度监测单元关联,所述车辆控制单元依据驾驶人情绪/疲劳度监测单元发送的或车载网关单元发送的驾驶人实时情绪状态分析结果及疲劳状态判定结果控制车辆行驶状态;报警提示单元,所述报警提示单元分别与驾驶人情绪/疲劳度监测单元、车载网关单元连接配合;远程管理单元,所述远程管理单元通过车辆控制单元配合驾驶人情绪/疲劳度监测单元完成驾驶人情绪识别和/或疲劳状态判定,能够给出对应的车辆管理及驾驶人管理控制指令,反馈给车载网关单元。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述驾驶人情绪/疲劳度监测单元的实时情绪识别模块包括面部高速摄像装置和情绪智能分析识别装置;所述面部高速摄像装置用于采集当前驾驶人的面部表情动态;所述情绪智能分析识别装置用于对面部高速摄像装置采集到的面部表情动态进行智能分析识别,判定当前驾驶人实时情绪状态。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述驾驶人情绪/疲劳度监测单元的疲劳状态监测模块包括头面部视频采集装置、基于视频分析的疲劳状态分析装置、座椅承压状态采集装置、基于传感器网络分析的疲劳状态分析装置;所述头面部视频采集装置用于采集当前驾驶人的头面部动作;所述基于视频分析的疲劳状态分析装置用于对头面部视频采集装置采集到的头面部动作进行智能分析识别,判定当前驾驶人实时状态的疲劳程度;所述座椅承压状态集装置用于对驾驶人身下座椅不同点位的承压分布情况进行采集;所述基于传感器网络分析的疲劳状态分析装置用于对座椅承压状态采集装置采集到的驾驶人身下座椅不同点位的承压情况进行智能分析识别,判定当前驾驶人实时状态的疲劳程度。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述驾驶人情绪/疲劳度监测单元直接关联车辆控制单元或通过车载网关间接关联车辆控制单元和/或远程管理单元。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述车载网关单元包括网络通讯模块和/或数据存储模块和/或边缘计算模块;所述网络通讯模块包括5G通信装置、CAN总线通信装置、TCP/IP通信装置、蓝牙通信装置、其他无线通信装置中的一种或多种,用于驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间的数据交互;所述数据存储模块包括内置式数据存储装置和外置式数据存储装置,用于存储驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间交互的数据;所述边缘计算模块包括含边缘计算功能的AI智能芯片、含边缘计算的终端SDK,用于基于驾驶人情绪/疲劳度监测单元与报警提示单元、车辆控制单元及远程管理单元之间交互的数据进行情绪智能分析识别和/或疲劳状态分析判定。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述报警提示单元包括车辆本地报警提示子单元及远程监控客户端软件报警提示子单元。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述车辆控制单元包括防抱死模块和/或限速管理模块和/或智能制动管理模块和/或电子控制制动辅助模块;所述防抱死模块用于在收到的驾驶人状态异常监测结果时防止紧急刹车时可能出现的车辆行驶方向失控或侧滑现象;所述限速管理模块用于在收到驾驶人状态异常监测结果时控制车辆最高行驶速度;所述智能制动管理模块用于在收到的驾驶人状态异常监测结果时启动智能刹车装置降低车辆实时行驶速度;所述电子控制制动辅助模块用于在收到的驾驶人状态异常监测结果时需紧急制动时快速启动全部制动力。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述车辆控制单元直接关联驾驶人情绪/疲劳度监测单元和车载网关单元;当车辆控制单元收到驾驶人状态检测异常结果时,车辆控制单元控制车辆限速、降速或紧急制动。
- 根据权利要求1所述的行车安全管理***,其特征在于:所述远程管理单元包括政府行业管理客户端、企业运营管理客户端、驾乘人员服务客户端和通信中心;所述远程管理单元的政府行业管理客户端依据主管行业部门的不同包括公安行业管理客户端软件、交通行业管理客户端软件、应急行业管理客户端软件、其他行业管理客户端软件;所述远程管理单元的企业运营管理客户端依据使用方的不同包括托运单位管理客户端软件、承运单位管理客户端软件、收货单位管理客户端软件;所述远程管理单元的驾乘人员服务管理客户端依据使用方的不同包括驾驶人服务客户端软件、押运人/安全员服务客户端软件;所述远程管理单元的通信中心包括云平台、本地服务器和个人移动智能终端。
- 根据权利要求1或9所述的行车安全管理***,其特征在于:所述远程管理单元接收车载网关单元发送的驾驶人情绪或疲劳状态监测结果给出车辆管理及驾驶人管理控制指令,或接收车载网关单元发送的驾驶人情绪或疲劳状态监测信息采集结果,对驾驶人的实时情绪和/或疲劳状态进行识别、分析、判定,并根据情绪识别结果和/或疲劳状态判定结果给出车辆管理及驾驶人管理控制指令,反馈给车载网关单元,并通过车载网关反馈给报警提示单元或车辆控制单元,发出声光报警、语音提示或控制车辆。
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