Accurate judgment and safety guarantee system for preventing fatigue driving

Abstract

The invention discloses an accurate judgment and safety guarantee system for preventing fatigue driving, and relates to the technical field of automobile safe driving assistance, and the system comprises an environmental parameter acquisition module, a driver physiological monitoring module, and an intelligent comprehensive judgment and control module. The intelligent comprehensive judgment and control module continuously receives and analyzes the vehicle driving stability data and the in-vehicle gas component change data, and operation and judgment are carried out through a preset drunk driving judgment algorithm; according to the invention, through close cooperation and cooperative work of the environmental parameter acquisition module, the driver physiological monitoring module, the intelligent comprehensive discrimination and control module, the warning execution module and the emergency safety guarantee module, the problem that the anti-fatigue driving system is easy to cause misjudgment and missed judgment under the influence of a high-altitude environment and special food is successfully solved; and under the condition of not adding any additional module or unit, accurate detection and timely reminding of drunk driving are realized by utilizing the existing technical means and data resources.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile safe driving assistance, and in particular to an accurate identification and safety assurance system for anti-fatigue driving. Background Art

[0002] In modern automotive safety technology, the anti-drowsiness driving system aims to identify the fatigue state by monitoring the physiological and behavioral characteristics of the driver, and issue an alarm in time to prevent traffic accidents caused by fatigue driving. However, the real driving environment is complex and changeable, and there are many interference factors that affect the accuracy of the system.

[0003] When a vehicle is at high altitude for a long time, the oxygen partial pressure in the atmosphere decreases. In order to adapt to this low oxygen environment, the driver's body will automatically adjust its physiological functions, showing an increase in heart rate to increase oxygen delivery and a decrease in blood oxygen saturation. However, the changes in these physiological indicators are similar to the physiological changes that occur in the body due to sleepiness in a normal fatigue state (such as a slight increase in heart rate and certain changes in blood oxygen saturation). This makes it difficult for the anti-fatigue driving system to accurately distinguish whether it is physiological stress caused by the high altitude environment or the driver has really entered a fatigue state based on a single heart rate and blood oxygen data, which makes it easy to misjudge (judgment of high altitude physiological changes as fatigue) or miss (failure to detect actual fatigue).

[0004] In addition, drivers may consume foods containing special ingredients in their daily diet. After certain natural herbs or specific food additives enter the human body, they will act on the nervous system or muscle tissue, causing abnormal fluctuations in the size of the pupils, involuntary slight twitching of the facial muscles, and other reactions. These unusual physical reactions may be mistakenly interpreted as typical signs of fatigue or distraction in the monitoring field of the anti-fatigue driving system, because the system usually judges fatigue based on the physiological and behavioral patterns of the human body under normal eating conditions, and lacks effective recognition and differentiation capabilities for these abnormal conditions caused by special food ingredients, which leads to misjudgment of the driver's actual mental state and cannot truly reflect whether the driver is in a safe driving state.

[0005] In view of this, an accurate identification and safety assurance system for anti-fatigue driving is provided to overcome the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide an accurate identification and safety guarantee system for anti-fatigue driving to solve the problems raised in the above background technology.

[0007] In order to solve the above technical problems, the present invention provides an accurate identification and safety guarantee system for anti-fatigue driving, comprising: Environmental parameter acquisition module: used to obtain the external and internal environmental parameters of the vehicle in real time; Driver physiological monitoring module: used to measure various physiological characteristic indicators of the driver; Intelligent comprehensive identification and control module: communicates with the environmental parameter acquisition module and the driver physiological monitoring module, and includes the following sub-modules: High-altitude environment identification and physiological compensation submodule: used to deeply analyze the information transmitted by the environmental parameter acquisition module and determine whether the vehicle is in a high-altitude area; if it is confirmed to be in a high-altitude environment, the built-in high-altitude environment physiological compensation program is called to compensate and correct the physiological characteristic data collected by the driver's physiological monitoring module; Behavior baseline analysis and abnormality identification submodule: Build and maintain the driver behavior baseline model based on vehicle driving dynamics and historical data; identify abnormal deviations as non-fatigue abnormalities caused by special foods, and fatigue states that exist after excluding high altitude and special foods; if it is determined to be a fatigue state, generate and output a fatigue alarm signal; It also continuously receives and analyzes vehicle driving stability data and in-vehicle gas composition change data, and calculates and judges through a preset drunk driving identification algorithm.

[0008] Furthermore, it also includes a warning execution module: connected to the intelligent comprehensive judgment and control module, used to receive and execute the fatigue warning signal and drunk driving warning signal issued by the intelligent comprehensive judgment and control module.

[0009] Furthermore, the environmental parameter acquisition module includes but is not limited to an altitude sensor, an air pressure sensor, a temperature sensor, a humidity sensor, and a gas composition detection sensor.

[0010] Furthermore, the driver physiological monitoring module includes a heart rate monitoring unit, a blood oxygen saturation monitoring unit, an eye movement monitoring unit, a facial muscle monitoring unit and a brain wave monitoring unit.

[0011] Furthermore, the intelligent comprehensive judgment and control module includes a driver diet information analysis submodule: establishing a communication connection with the vehicle's intelligent interconnection system and the driver's mobile terminal.

[0012] Furthermore, the warning execution module includes a sound warning unit, a vibration reminder unit and an information display unit.

[0013] Furthermore, it also includes an emergency safety guarantee module: including a vehicle deceleration and parking submodule and an emergency communication submodule.

[0014] Furthermore, the vehicle deceleration and stopping submodule adopts a progressive deceleration strategy in the process of controlling the vehicle deceleration and stopping.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This anti-fatigue driving accurate identification and safety assurance system solves the problem of misjudgment and missed judgment of the anti-fatigue driving system under the influence of high altitude environment and special food through the close cooperation and coordinated work of environmental parameter acquisition module, driver physiological monitoring module, intelligent comprehensive identification and control module, warning execution module and emergency safety assurance module. Without adding any additional modules or units, it uses existing technical means and data resources to achieve accurate detection and timely reminder of drunk driving. This system comprehensively improves the accuracy and reliability of driver status judgment, significantly enhances driving safety, and effectively reduces the incidence of traffic accidents caused by factors such as fatigue driving, the influence of special food and drunk driving. It provides an efficient and reliable solution for the development and application of modern automobile safety technology, has important practical application value and broad market prospects, and can provide strong protection for the travel safety of the majority of drivers. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a schematic diagram of an accurate identification and safety assurance system for anti-fatigue driving. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 , the present invention provides a technical solution: See also Figure 1 As shown, an embodiment of an accurate identification and safety assurance system for anti-fatigue driving: Example scenario: Driver Xiao Wang drove an ordinary family car on a long-distance self-driving tour. The itinerary covered a range from low-altitude urban areas to high-altitude mountainous areas. He ate food containing special ingredients while dining at rest stops along the way. He was also faced with the risk of fatigue driving and potential drunk driving during the journey.

[0019] Working process of each module of the system: Environmental parameter collection module: The altitude sensor measures the difference between atmospheric pressure and standard sea level pressure and combines it with a preset pressure-altitude conversion formula (for example, approximate formula: altitude = 44330*(1-(P / P0)^(1 / 5.255)), where P is the pressure at the measurement point and P0 is the standard sea level pressure) to accurately obtain the altitude information of the vehicle's location. When the vehicle travels from a low-altitude area to a high-altitude area, the sensor detects that the air pressure gradually decreases. According to the formula, the altitude continues to rise, such as from an altitude of 50 meters at the departure point to an altitude of more than 2,000 meters in the mountainous area. These data are transmitted to the intelligent comprehensive judgment and control module in real time.

[0020] The pressure sensor also independently monitors changes in air pressure as auxiliary data for altitude judgment, and corroborates the data of the altitude sensor to further improve the accuracy of altitude judgment. For example, when the altitude sensor data fluctuates abnormally, the stable data of the pressure sensor can assist in calibration and correction to ensure that the system accurately judges the high altitude environment.

[0021] The temperature sensor and humidity sensor record the ambient temperature and humidity respectively. Although these data are not directly used to judge high altitude and fatigue driving, they are of great significance for the overall operation status monitoring of the vehicle and the evaluation of the comfort level in the vehicle. For example, in high altitude areas, the temperature usually decreases with the increase of altitude. The change trend of temperature data can also indirectly assist in verifying whether the vehicle has entered a high altitude area. At the same time, it also provides a basis for the subsequent intelligent adjustment of the vehicle air conditioning system and other equipment, improving the comfort and safety of driving.

[0022] The gas composition detection sensor performs real-time analysis of the gas in the car, detecting the concentration of gas components including oxygen, carbon dioxide, carbon monoxide, and possible alcohol. When the vehicle enters a high-altitude area, the oxygen concentration in the car will also decrease accordingly due to the decrease in the oxygen partial pressure in the atmosphere. The sensor detects that the oxygen concentration gradually decreases from about 21% in the plain area to about 18% in the high-altitude area (this is the approximate numerical range inferred based on the characteristics of the atmospheric environment in high-altitude areas and the principle of gas diffusion). This data change is of great reference value for judging the high-altitude environment and subsequent analysis of the driver's physiological response. At the same time, if the driver drinks alcohol, the evaporation of alcohol will increase the alcohol concentration in the car. The sensor can keenly capture this change, providing a key basis for the detection of drunk driving.

[0023] Through the coordinated work of multiple sensors and precise data collection, a comprehensive and accurate data foundation is provided for the subsequent accurate identification of high-altitude environments and detection of drunk driving, which greatly improves the system's perception of complex environments and potential dangerous situations, effectively avoiding misjudgments and missed judgments caused by inaccurate or missing data, and ensuring the reliability and stability of system operation.

[0024] Driver physiological monitoring module: The heart rate monitoring unit uses advanced photoelectric sensor technology to calculate heart rate by detecting changes in light absorption caused by blood flow under the skin. At high altitudes, due to the relatively reduced oxygen supply, the human heart will beat faster to increase oxygen delivery in order to maintain normal physiological functions. According to medical research and a large amount of human physiological data statistics in high-altitude environments, the heart rate of an average person at an altitude of about 2,000 meters will increase by 10-20 beats / minute compared to that in plain areas (for example, the normal heart rate in plain areas is 70-80 beats / minute, which may increase to 80-100 beats / minute in this high-altitude area). The heart rate monitoring unit records these changes in real time and accurately, and transmits the data to the intelligent comprehensive judgment and control module.

[0025] The blood oxygen saturation monitoring unit uses infrared and red light technology to measure the ratio of oxygenated hemoglobin to total hemoglobin in the blood, thereby obtaining the blood oxygen saturation value. Similarly, in high-altitude environments, affected by low oxygen partial pressure, blood oxygen saturation will decrease, generally from 95%-98% in plain areas to 85%-92% in high-altitude areas (this is a common value range based on high-altitude physiology). The monitoring unit continuously monitors changes in this indicator to provide key physiological data support for the system to judge the driver's physical condition.

[0026] The eye movement monitoring unit uses a camera to capture the driver's eye characteristics, including eyelid blinking frequency, pupil size changes, and eye movement trajectories. When the driver eats food containing special ingredients, some food ingredients may affect the nervous system, causing abnormal fluctuations in pupil size. For example, after eating food containing mydriatic ingredients, the pupil diameter may increase by 1-2 mm compared to normal (this is an approximate numerical range based on relevant medical research and analysis of the effects of special food ingredients), and the eyelid blinking frequency may also change abnormally, such as from the normal 15-20 times per minute to 10-15 times or increase to 20-25 times. These abnormal eye movements are captured by the monitoring unit in a timely manner and transmitted to the intelligent comprehensive discrimination and control module to distinguish whether it is a non-fatigue abnormality caused by special food or a change in eye characteristics under fatigue.

[0027] The facial muscle monitoring unit uses high-precision electromyographic sensors to detect the electrical activity of facial muscles. Special food ingredients may cause involuntary slight twitching of facial muscles, which manifests as abnormal fluctuations in electromyographic signals. Through baseline learning and analysis of facial electromyographic signals under normal driving conditions, when abnormal muscle activity caused by special foods occurs, such as an increase in electromyographic signal intensity of 20%-30% (this is an approximate range based on comparative analysis of normal and abnormal facial muscle activity), the monitoring unit can quickly detect and feed back data to the intelligent comprehensive judgment and control module to assist the system in accurately judging the driver's status.

[0028] The brain wave monitoring unit uses electroencephalogram technology to measure the electrical activity of the driver's cerebral cortex and analyze the frequency, amplitude and waveform of brain waves. In a fatigued state, brain waves will show a specific change pattern, such as an increase in alpha waves and enhanced theta wave activity (this is based on the research results of fatigue neurophysiology). At the same time, high altitude environment and special food may also have a certain impact on brain waves, but by comparing and analyzing brain wave data in a normal state, combined with other physiological indicators and environmental data, the system can distinguish these influencing factors and accurately determine whether the driver is in a fatigued state. For example, in a normal awake state, the alpha wave frequency is usually 8-13Hz. When the driver gradually becomes tired, the alpha wave frequency may drop slightly, while the theta wave (4-7Hz) activity gradually increases. When these changes exceed a certain threshold of the normal range (such as a drop of more than 10% in the alpha wave frequency and an increase of more than 20% in the theta wave activity), the system combines other data to determine that it is a fatigued state.

[0029] Comprehensive and high-precision monitoring of the driver's various physiological characteristics provides the system with rich and detailed physiological data, enabling the system to more accurately understand the driver's physical and mental state. Whether it is physiological changes caused by high-altitude environment, abnormal reactions caused by special foods, or physiological characteristics under fatigue, they can all be accurately captured and analyzed, thereby effectively avoiding misjudgments caused by single or one-sided physiological data judgments, greatly improving the accuracy and reliability of driver status judgments, and laying a solid foundation for ensuring driving safety.

[0030] Intelligent comprehensive identification and control module: High altitude environment recognition and physiological compensation submodule: After receiving the altitude, air pressure, oxygen concentration and other data from the environmental parameter acquisition module, this submodule makes a judgment based on the pre-set high altitude discrimination threshold. When the altitude exceeds 1,500 meters (this is a threshold determined based on a large number of studies on the environmental characteristics of high altitude areas and human physiological reactions), and the air pressure, oxygen concentration and other data also meet the high altitude environmental characteristics, it is determined that the vehicle is in a high altitude area. At this time, the built-in high altitude environment physiological compensation program is immediately called to compensate and correct the physiological characteristic data collected by the driver physiological monitoring module.

[0031] Taking heart rate data as an example, since heart rate will naturally increase in high altitude environment, the compensation program will calculate the increase in heart rate caused by high altitude based on the mathematical model of altitude and heart rate change (an empirical formula obtained by fitting a large number of high altitude human physiological experimental data, such as heart rate compensation value = k*(altitude-1500), where k is a coefficient determined according to the experiment, assuming k=0.01), and subtract this compensation value from the actual monitored heart rate data to obtain the corrected heart rate data, making it closer to the heart rate level under normal conditions, thereby avoiding misjudging the increase in heart rate caused by high altitude as a change in heart rate under fatigue. Similarly, for blood oxygen saturation data, compensation correction will also be made according to the change law of blood oxygen saturation in high altitude environment. For example, the formula blood oxygen saturation correction value = m*(1-(altitude / H)), where m is the coefficient (assuming m=0.05) and H is the high altitude reference value (assuming H=4000 meters), is used to correct the monitored blood oxygen saturation so that it can accurately reflect the driver's true physiological state, rather than the illusion caused by the high altitude environment.

[0032] By accurately identifying the high-altitude environment and making scientific and reasonable compensation corrections to the physiological data, the system effectively solves the problem of misjudgment caused by the similarities between changes in the physiological indicators of drivers in high-altitude areas and fatigue states, and significantly improves the accuracy and reliability of the system's judgment of fatigue driving in complex high-altitude environments, ensuring that the driver's safety monitoring during high-altitude driving is not interfered with by environmental factors, thereby ensuring the safety of long-distance driving.

[0033] Behavior baseline analysis and abnormality identification submodule: Based on the vehicle's driving dynamics (such as speed, acceleration, steering angle, etc.) and historical data (including driving behavior patterns and physiological data characteristics over a period of time in the past), a machine learning algorithm is used to build and maintain the driver's behavioral baseline model. For example, a multi-dimensional behavioral baseline feature vector is established through statistical analysis of the vehicle speed change curve, steering angle frequency distribution, and physiological data such as heart rate and eye movements in the past hour. When abnormalities are detected in the driver's eye movements, facial muscle activities, etc., a comprehensive judgment is made using an abnormality identification algorithm based on probability statistics and pattern recognition, combined with the current environmental data (whether it is in a high altitude area) and physiological data (compensated and corrected heart rate, blood oxygen saturation, etc.).

[0034] Assuming that the standard deviation of eyelid blinking frequency under normal circumstances is σ1 (calculated based on historical data), when the eyelid blinking frequency is detected to exceed the normal range of ±2σ1 (this is the abnormal judgment threshold determined based on statistical principles), and at the same time excluding the influence of high-altitude environmental factors (through the judgment results of the high-altitude discrimination and physiological compensation sub-module) and vehicle driving abnormalities (such as sudden braking, sharp turns and other emergencies), if the gas composition detection sensor in the vehicle does not detect abnormal substances such as alcohol, the system will further analyze whether the abnormality is caused by eating special foods. By querying and comparing the database of common special food ingredients and human physiological reactions (the database contains detailed information on the effects of various special food ingredients on human physiological indicators), if it is found that the current abnormal characteristics of the eyes and facial muscles match the action mode of a special food (for example, the pupil and facial muscle changes after eating foods containing specific alkaloids), it is judged as non-fatigue abnormalities caused by special foods. Otherwise, combined with other fatigue characteristic indicators (such as brain wave changes, continuous driving time, etc.), if the fatigue judgment conditions are met (such as the continuous enhancement of the θ wave activity in the brain wave exceeds a certain time threshold, the continuous driving time exceeds 4 hours, etc.), it is judged as a fatigue state and a fatigue alarm signal is generated.

[0035] During the whole process, the vehicle driving stability data and the gas composition change data in the car are continuously received and analyzed, and the preset drunk driving identification algorithm is used for calculation and judgment. The drunk driving identification algorithm is based on the correlation model between the alcohol concentration in the car and the blood alcohol concentration of the human body (the approximate relationship derived through experiments and theoretical derivation, such as blood alcohol concentration = n * alcohol concentration in the car, where n is the conversion coefficient, assuming n = 2200, which is an approximate coefficient determined based on the physical and chemical processes such as volatilization and diffusion of alcohol in the human body and the car environment, as well as the absorption and metabolism of alcohol by the human body). When the gas composition detection sensor in the car detects that the alcohol concentration exceeds a certain threshold (assuming that the blood alcohol concentration reaches 20mg / 100ml, which is the warning value set according to the drunk driving judgment standard), the system determines it as drunk driving and generates a drunk driving alarm signal.

[0036] By building a behavioral baseline model and comprehensively analyzing a variety of data, it can not only effectively distinguish between abnormalities and fatigue conditions caused by special foods and avoid misjudgment of the driver's mental state, but also use existing environmental and physiological monitoring data without adding additional modules to achieve accurate detection of drunk driving, greatly expanding the system's functions, improving driving safety, and comprehensively ensuring the driver's driving safety in various complex situations, effectively reducing the risk of traffic accidents.

[0037] Alert execution module: When the intelligent comprehensive identification and control module determines that the driver is in a fatigue state or drunk driving state, it will generate a corresponding alarm signal and send it to the warning execution module. The sound warning unit in the warning execution module will emit a loud alarm with a specific rhythm (for example, the fatigue alarm is a continuous short sound, and the drunk driving alarm is a long and short sound alternating). The volume can reach 80-100 decibels, which is enough to attract the driver's attention and ensure that the alarm sound can be clearly heard in a noisy driving environment, reminding the driver to take corresponding measures, such as stopping to rest or stopping driving.

[0038] The vibration warning unit will cause the driver's seat to vibrate strongly, and the vibration frequency and amplitude are differentiated according to the alarm type. For example, the vibration frequency is 5-8Hz and the amplitude is 5-10mm for fatigue alarm; the vibration frequency is 10-15Hz and the amplitude is 10-15mm for drunk driving alarm. Through different vibration modes, the driver can intuitively feel the difference in the degree of danger and enhance the warning effect.

[0039] The display information unit will clearly display fatigue warning or drunk driving warning information on the dashboard, including text prompts (such as "Fatigue driving, please stop and rest" or "Drunk driving detected, please stop driving immediately") and corresponding icon warnings. It will also display the current driver's physiological data (such as heart rate, blood oxygen saturation, etc.) and vehicle status information (such as vehicle speed, altitude, etc.), allowing the driver to intuitively understand his own condition and the vehicle's environment, so as to make better decisions.

[0040] Through the synergistic effect of multiple warning methods, the driver can be reminded of his or her own status in a timely and effective manner, and danger information can be transmitted to the driver from multiple sensory dimensions such as hearing, touch and vision, ensuring that the driver can quickly receive the alarm and take correct actions, avoiding traffic accidents caused by fatigue driving or drunk driving, and effectively protecting the safety of drivers and road traffic.

[0041] Emergency safety assurance module: If the driver fails to respond to the alarm signal in time, the vehicle deceleration and parking submodule will be activated. In the process of controlling the vehicle's deceleration and parking, a progressive deceleration strategy is adopted. According to the current driving speed of the vehicle and the surrounding road environment information, the vehicle speed is gradually reduced through a preset deceleration control algorithm (for example, a fuzzy control algorithm based on a vehicle dynamics model, dynamically adjusting the braking force according to factors such as vehicle speed and distance from the vehicle in front), to avoid sudden braking causing the vehicle to lose control or collide. For example, when the vehicle speed is 100km / h, it is first decelerated at a deceleration of 0.5m / s². When the speed drops to 60km / h, the deceleration is adjusted to 0.3m / s² until the vehicle is safely and smoothly parked in the roadside emergency parking strip or safety area.

[0042] The emergency communication submodule will automatically send the vehicle location (obtained through the on-board GPS positioning system with a positioning accuracy of up to 5-10 meters) and status information (including fatigue or drunk driving alarm information, vehicle speed, vehicle fault code, etc.) to preset emergency contacts (such as family, friends or rescue agencies) through the on-board satellite communication system or mobile network (preferentially selecting communication methods with high signal strength and good stability) to obtain timely rescue and support, ensuring that the driver can get timely help and protection when he is unable to drive normally.

[0043] When the driver is unable to drive normally, the emergency safety assurance module can automatically take effective measures to ensure the safety of vehicles and personnel, reduce accident risks through a progressive deceleration strategy, and send distress messages in a timely manner to improve rescue efficiency, minimize serious consequences that may be caused by fatigue driving or drunk driving, and provide a reliable last line of defense for the driver's life and property safety.

[0044] Summarize: This anti-fatigue driving accurate identification and safety assurance system successfully solves the problem of misjudgment and missed judgment of the anti-fatigue driving system under the influence of high altitude environment and special food through the close cooperation and coordination of environmental parameter acquisition module, driver physiological monitoring module, intelligent comprehensive identification and control module, warning execution module and emergency safety assurance module. Without adding any additional modules or units, it uses existing technical means and data resources to achieve accurate detection and timely reminder of drunk driving. This system comprehensively improves the accuracy and reliability of driver status judgment, significantly enhances driving safety, and effectively reduces the incidence of traffic accidents caused by factors such as fatigue driving, the influence of special food and drunk driving. It provides an efficient and reliable solution for the development and application of modern automobile safety technology, has important practical application value and broad market prospects, and can provide strong protection for the travel safety of the majority of drivers.

Claims

1. An accurate identification and safety guarantee system for anti-fatigue driving, characterized in that: include: Environmental parameter acquisition module: used to obtain the external and internal environmental parameters of the vehicle in real time; Driver physiological monitoring module; Used to measure various physiological characteristics of drivers; Intelligent comprehensive identification and control module: communicates with the environmental parameter acquisition module and the driver physiological monitoring module, and includes the following sub-modules: High-altitude environment identification and physiological compensation submodule: used to deeply analyze the information transmitted by the environmental parameter acquisition module and determine whether the vehicle is in a high-altitude area; If it is confirmed that the vehicle is in a high-altitude environment, the built-in high-altitude environment physiological compensation program is called to compensate and correct the physiological characteristic data collected by the driver's physiological monitoring module; Behavior baseline analysis and abnormality identification submodule: Build and maintain the driver behavior baseline model based on vehicle driving dynamics and historical data; identify abnormal deviations as non-fatigue abnormalities caused by special foods, and fatigue states that exist after excluding high altitude and special foods; if it is determined to be a fatigue state, generate and output a fatigue alarm signal; The intelligent comprehensive identification and control module continuously receives and analyzes vehicle driving stability data and in-vehicle gas composition change data, and calculates and judges through a preset drunk driving identification algorithm.

2. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 1, characterized in that: It also includes a warning execution module: connected to the intelligent comprehensive judgment and control module, used for receiving and executing fatigue warning signals and drunk driving warning signals issued by the intelligent comprehensive judgment and control module.

3. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 1, characterized in that: The environmental parameter acquisition module includes but is not limited to an altitude sensor, an air pressure sensor, a temperature sensor, a humidity sensor, and a gas composition detection sensor.

4. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 1, characterized in that: The driver physiological monitoring module includes a heart rate monitoring unit, a blood oxygen saturation monitoring unit, an eye movement monitoring unit, a facial muscle monitoring unit and a brain wave monitoring unit.

5. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 1, characterized in that: The intelligent comprehensive judgment and control module includes a driver's dietary information analysis submodule: which establishes a communication connection with the vehicle's intelligent interconnection system and the driver's mobile terminal.

6. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 2, characterized in that: The warning execution module includes a sound warning unit, a vibration reminder unit and a display information unit.

7. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 1, characterized in that: It also includes an emergency safety assurance module: including a vehicle deceleration and parking sub-module and an emergency communication sub-module.

8. The accurate identification and safety guarantee system for anti-fatigue driving according to claim 7, characterized in that: The vehicle deceleration and stopping submodule adopts a progressive deceleration strategy when controlling the vehicle deceleration and stopping process.

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