CN117612334A - Driving safety reminding system and method based on intelligent watch - Google Patents
Driving safety reminding system and method based on intelligent watch Download PDFInfo
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- G—PHYSICS
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
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- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
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- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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- H04W—WIRELESS COMMUNICATION NETWORKS
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- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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Abstract
The invention provides a driving safety reminding system and method based on an intelligent watch, wherein the system comprises the following steps: the intelligent watch, the vehicle-mounted T-Box, the intelligent watch APP and the cloud server; the intelligent watch comprises a built-in sensor module, a connecting module, an analyzing module and a reminding module. The intelligent watch monitors physiological data and behavior data of a driver in real time and analyzes and reminds the driver; the cloud server is used for storing and processing the driving data and the vehicle data, judging whether the current vehicle has a fault or not and whether a driver drives overtime or not, and simultaneously transmitting a result to the intelligent watch APP; the intelligent watch APP sends out corresponding reminding, reminds a driver to take corresponding measures, and avoids traffic accidents. The invention is helpful to improve the safety consciousness and driving alertness of the driver and reduce the potential driving danger through comprehensive data acquisition, real-time data transmission and analysis and visual reminding mode.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a driving safety reminding system and method based on an intelligent watch.
Background
With the popularization of vehicles and the rapid development of road transportation, traffic accidents have become a serious social problem. Especially, traffic accidents caused by fatigue, dozing and other factors of drivers are obvious traffic safety hazards. Therefore, timely recognition of dangerous behaviors and improvement of safety awareness and alertness of drivers have become an urgent problem to be solved.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a driving safety reminding system and method based on an intelligent watch.
In order to achieve the above purpose, the invention adopts the following technical scheme: a driving safety reminder system based on a smart watch, comprising: intelligent wrist-watch, on-vehicle T-Box, intelligent wrist-watch APP, high in the clouds server.
The intelligent watch comprises a built-in sensor module, a connecting module, an analysis module and a reminding module;
the sensor module is used for monitoring and collecting physiological data and behavior data of a driver in real time; the physiological data and the behavior data are collected in real time, so that the state of a driver can be comprehensively known, and more accurate driving safety assessment is provided;
the physiological data refers to information related to physical conditions and physiological characteristics of a driver, including heart rate, blood pressure and respiratory rate of the driver;
the behavior data refer to the behavior characteristics and the action modes of the driver, including the movement, the gesture, the acceleration, the steering and the braking conditions of the driver;
the analysis module is used for analyzing the data acquired by the sensor module in real time and identifying dangerous behaviors of a driver, and the analysis result comprises: abnormal heart rate, rapid acceleration, rapid braking, abnormal steering, high pressure driving and high altitude driving;
the connection module is used for transmitting the data acquired by the sensor module and the analysis result of the analysis module to the intelligent watch APP;
and the reminding module is used for generating a corresponding alarm signal according to the analysis result of the analysis module and reminding a driver in time. The real-time generation and issuing of the reminding is helpful for timely warning the driver before the driving danger occurs and improving the alertness of the driver to the potential danger.
The vehicle-mounted T-Box integrates a vehicle data acquisition sensor and a data transmission module; T-Box (Telematics Box) is a vehicle information remote monitoring device, and is generally composed of various sensors and communication modules. These devices are capable of collecting a large amount of data about the vehicle and driving behavior, and uploading these data to a cloud server over a wireless network.
The vehicle data acquisition sensor acquires vehicle data and driving data by deeply reading automobile CAN bus data and a private protocol;
and the data transmission module is used for transmitting the acquired vehicle data and driving data to the cloud server through a GPRS network.
The cloud server stores and processes data from the vehicle-mounted T-box; the large-scale data can be processed and analyzed through the synergistic effect of the cloud server, and the efficiency and accuracy of data processing are improved.
The intelligent watch APP is connected with the intelligent watch through Bluetooth or eSIM, receives data transmitted by the intelligent watch and the cloud server in real time, and generates reminding.
Further, the sensor module includes: heart rate sensor, acceleration sensor, gyroscope sensor, air pressure sensor;
the heart rate sensor is used for detecting the heart rate of the driver, namely the heart rate; the heart rate sensor is positioned on the back of the intelligent watch and is used for detecting pulse signals by contacting skin;
the acceleration sensor is used for measuring acceleration and deceleration of a driver; when the object is suddenly accelerated, the acceleration sensor can detect that the acceleration value suddenly increases to be a positive value; when the object suddenly decelerates, the acceleration sensor can detect that the acceleration value suddenly becomes smaller and takes a negative value; the acceleration sensor records the movement and vibration of the watch in all directions;
the gyroscope sensor is used for measuring the angular speed and the direction of the intelligent watch; detecting rotation, turning and tilting of the smart watch by the gyro sensor;
the air pressure sensor is used for measuring air pressure change of the environment; the air pressure sensor provides information about the altitude, thereby obtaining a change in altitude of the location where the driver is located.
Further, the analysis module is used for setting a heart rate value normal interval, and when the detected heart rate value is not in the normal interval, the analysis module indicates that the physical condition of the driver is abnormal; wherein, when the detected heart rate value is higher than the maximum value of the normal interval, the emotion of the driver is excited; when the heart rate continuously rises and exceeds a normal interval, the driver is judged to be in a high-pressure driving state, and potential safety hazards such as dullness and fatigue driving of the driver can be caused by high-pressure driving.
The analysis module is used for judging whether a driver is suddenly accelerated or suddenly braked by analyzing the positive and negative of the value of the acceleration sensor; if the value is positive, the vehicle is judged to be accelerated rapidly, and the vehicle is possibly unbalanced and unstable due to the rapid acceleration, and even accidents are caused; if the value is negative, the vehicle is judged to be suddenly braked, and the sudden braking possibly causes dangerous situations such as out-of-control vehicle, rear-end collision and the like.
The analysis module is used for judging abnormal steering behaviors of a driver by analyzing the change condition of the angular velocity value, wherein the abnormal steering behaviors comprise: suddenly steering and frequently changing lanes; when the angular velocity value has a very large change in a short time, judging that a sudden steering behavior occurs; judging whether a driver frequently changes lanes or not by analyzing the frequency and the amplitude of the change of the angular speed; frequent lane changes may be an indication that the driver is not attentive or that the driving style is too aggressive.
The analysis module detects the elevation change through the air pressure sensor, and if the elevation change is detected in a short time, the analysis module judges that the driver is driving at a high elevation; high altitude driving may be associated with hypoxia, altitude reaction, etc., and may have an influence on the physical health and judgment ability of the driver.
Further, the vehicle data includes:
engine state: whether the engine is started or not and in an operating state;
vehicle diagnostic information: including fault codes and health status of the vehicle;
fuel consumption information: fuel consumption of the vehicle;
battery status: battery charge and state of charge;
vehicle warning information: warning and notification information of the vehicle system;
the driving data includes:
vehicle speed information: the current speed of the vehicle;
acceleration information: acceleration and deceleration of the vehicle;
steering angle information: steering angle of the vehicle;
brake information: the service conditions of the brake include pedal pressure;
steering behavior information: frequency of steering, angle of steering;
vehicle position information: acquiring a real-time position of the vehicle by using a positioning system;
driver behavior information: the habits of the driver include the number of sudden acceleration and sudden braking.
Further, the cloud server comprehensively analyzes the vehicle data and the driving data, and judges whether the vehicle has a fault or not and whether a driver drives overtime or not through a built-in algorithm and a rule. The method specifically comprises the following steps:
analyzing the driving data, and detecting abnormal driving behaviors of sudden acceleration, sudden braking and frequent lane change, and illegal behaviors of overspeed and illegal driving;
analyzing the vehicle data, and monitoring fault codes and health conditions of a vehicle system;
and (3) monitoring driving duration: counting the driving time of a driver, and judging whether overtime driving conditions exist or not;
real-time position monitoring: monitoring the real-time position of the vehicle, and judging whether the vehicle deviates from a preset driving route;
when an abnormal situation is detected, a corresponding alarm or notification is triggered, and a driver or manager is notified through the smart watch APP.
Further, when the intelligent watch APP receives the alarm instruction of the cloud server, the alarm instruction is transmitted to the intelligent watch through the connection module, and the reminding module executes the corresponding alarm instruction.
Further, after the reminding module receives the alarm signal, the reminding module draws the attention of a driver in a built-in vibration motor or sound reminding mode; the reminding content is displayed on the screen of the intelligent watch at the same time, so that a driver can clearly understand the reminding content; vibration and sound reminding are visual modes without influencing driving, and are helpful for attracting attention of drivers and avoiding the problems of fatigue driving, vehicle faults and the like.
A driving safety reminding method based on a smart watch comprises the following steps:
s1, vehicle data and driving data are collected by vehicle-mounted intelligent hardware;
s2, wearing an intelligent watch by the driver, and collecting data of the driver in real time;
the driver data includes physiological data and behavioral data of the driver;
s3, processing and analyzing the collected vehicle data, driving data and driver data, and transmitting an analysis result to the intelligent watch APP;
s4, the intelligent watch APP issues different types of reminders according to different analysis results.
Further, in step S3, after the smart watch collects the driver data in real time, corresponding data processing is performed, corresponding alarm signals are generated according to the set safety standards and rules, corresponding reminding is performed, and the driving state of the driver is detected in time.
Further, in step S3, the collected vehicle data and driving data are uploaded to a cloud server, stored in the cloud server and further processed, including data cleaning, anomaly detection and driving behavior analysis; according to the analysis result, the reminding information is issued to the intelligent watch APP, so that timely notification of a driver is ensured; through cloud processing, efficient management and analysis of large-scale data are achieved, and real-time performance and accuracy of the system are guaranteed.
Compared with the prior art, the invention has the beneficial effects that: according to the intelligent watch, physiological data and behavior data of a driver can be monitored in real time through the various sensors arranged in the intelligent watch, dangerous behaviors can be recognized timely, and the driver is reminded to take corresponding actions so as to improve driving safety. In addition, the invention is beneficial to improving the safety consciousness and driving alertness of the driver and reducing the potential driving danger through comprehensive data acquisition, real-time data transmission and analysis and an intuitive reminding mode.
Drawings
FIG. 1 is a schematic diagram of a system architecture according to embodiment 1 of the present invention;
description of the embodiments
For a further understanding of the objects, construction, features, and functions of the invention, reference should be made to the following detailed description of the preferred embodiments.
Example 1:
a driving safety reminder system based on a smart watch, comprising: intelligent wrist-watch, on-vehicle T-Box, intelligent wrist-watch APP, high in the clouds server.
The intelligent watch is internally provided with a sensor module, a connecting module, an analysis module and a reminding module;
the sensor module is used for monitoring and collecting physiological data and behavior data of a driver in real time; the physiological data and the behavior data are collected in real time, so that the state of a driver can be comprehensively known, and more accurate driving safety assessment is provided;
physiological data refers to information related to the physical condition and physiological characteristics of the driver, including the heart rate, blood pressure, and respiratory rate of the driver;
the behavior data refer to the behavior characteristics and the action modes of the driver, including the movement, the gesture, the acceleration, the steering and the braking conditions of the driver;
the analysis module is used for analyzing the data acquired by the sensor module in real time and identifying dangerous behaviors of a driver, and the analysis result comprises the following steps: abnormal heart rate, rapid acceleration, rapid braking, abnormal steering, high pressure driving and high altitude driving;
the connection module is used for transmitting the data acquired by the sensor module and the analysis result of the analysis module to the intelligent watch APP;
and the reminding module is used for generating a corresponding alarm signal according to the analysis result of the analysis module and reminding the driver in time. The real-time generation and issuing of the reminder helps to alert the driver in time before the driving danger occurs, improving his alertness to the potential danger
The vehicle-mounted T-Box integrates a vehicle data acquisition sensor and a data transmission module; T-Box (Telematics Box) is a vehicle information remote monitoring device, and is generally composed of various sensors and communication modules. These devices are capable of collecting a large amount of data about the vehicle and driving behavior, and uploading these data to a cloud server over a wireless network.
The vehicle data acquisition sensor acquires vehicle data and driving data by deeply reading automobile CAN bus data and a private protocol;
and the data transmission module is used for transmitting the acquired vehicle data and driving data to the cloud server through the GPRS network.
The cloud server stores and processes data from the vehicle-mounted T-box; the large-scale data can be processed and analyzed through the synergistic effect of the cloud server, and the efficiency and accuracy of data processing are improved.
The intelligent watch APP is connected with the intelligent watch through Bluetooth or eSIM, receives data transmitted by the intelligent watch and the cloud server in real time, and generates reminding.
Further, the sensor module includes: heart rate sensor, acceleration sensor, gyroscope sensor, air pressure sensor; the data of a plurality of sensors are integrated, so that the driving behavior can be more comprehensively analyzed, and the accuracy and the adaptability of the system are improved.
A heart rate sensor for detecting the heart rate of the driver, i.e. the heart beat frequency; the heart rate sensor is positioned at the back of the intelligent watch and is used for detecting pulse signals by contacting skin;
an acceleration sensor for measuring acceleration and deceleration of a driver; when the object is suddenly accelerated, the acceleration sensor can detect that the acceleration value suddenly increases to be a positive value; when the object suddenly decelerates, the acceleration sensor can detect that the acceleration value suddenly becomes smaller and takes a negative value; the acceleration sensor records the movement and vibration of the watch in all directions;
the gyroscope sensor is used for measuring the angular speed and the direction of the intelligent watch; detecting rotation, turning and tilting of the smart watch by means of a gyro sensor;
the air pressure sensor is used for measuring air pressure change of the environment; the air pressure sensor provides information about the altitude, thereby obtaining a change in altitude of the location where the driver is located.
In one embodiment of the invention, a gyroscopic sensor is used to monitor the tilt angle of the smart watch to analyze and determine the dozing behavior of the driver. When a driver sleeps, the head can incline forwards, which can lead to the change of the inclination angle of the intelligent watch; by analyzing the change in the inclination angle in the gyro sensor data, it is possible to recognize whether or not the driver has a dozing behavior. In addition, the intelligent watch can be provided with a sight line sensor or a camera for monitoring the sight line; by analyzing the positions and actions of eyes and faces of the driver, it is determined whether or not dozing behavior is present. The accuracy of judgment can be improved by comprehensively utilizing the data of a plurality of sensors.
Further, the analysis module is used for setting a heart rate value normal interval, and when the detected heart rate value is not in the normal interval, the analysis module indicates that the physical condition of the driver is abnormal; wherein, when the detected heart rate value is higher than the maximum value of the normal interval, the emotion of the driver is excited; when the heart rate continuously rises and exceeds a normal interval, the driver is judged to be in a high-pressure driving state, and potential safety hazards such as dullness and fatigue driving of the driver can be caused by high-pressure driving.
The analysis module is used for judging whether the driver is suddenly accelerated or suddenly braked by analyzing the positive and negative of the value of the acceleration sensor; if the value is positive, the vehicle is judged to be accelerated rapidly, and the vehicle is possibly unbalanced and unstable due to the rapid acceleration, and even accidents are caused; if the value is negative, the vehicle is judged to be suddenly braked, and the sudden braking possibly causes dangerous situations such as out-of-control vehicle, rear-end collision and the like.
The analysis module is used for judging abnormal steering behaviors of a driver by analyzing the change condition of the angular velocity value, wherein the abnormal steering behaviors comprise: suddenly steering and frequently changing lanes; when the angular velocity value has a very large change in a short time, judging that a sudden steering behavior occurs; judging whether a driver frequently changes lanes or not by analyzing the frequency and the amplitude of the change of the angular speed; frequent lane changes may be an indication that the driver is not attentive or that the driving style is too aggressive.
The analysis module is used for detecting the altitude change through the air pressure sensor, and judging that the driver is driving at a high altitude if the altitude change is detected in a short time; high altitude driving may be associated with hypoxia, altitude reaction, etc., and may have an influence on the physical health and judgment ability of the driver.
Further, the vehicle data includes:
engine state: whether the engine is started or not and in an operating state;
vehicle diagnostic information: including fault codes and health status of the vehicle;
fuel consumption information: fuel consumption of the vehicle;
battery status: battery charge and state of charge;
vehicle warning information: warning and notification information of the vehicle system;
the driving data includes:
vehicle speed information: the current speed of the vehicle;
acceleration information: acceleration and deceleration of the vehicle;
steering angle information: steering angle of the vehicle;
brake information: the service conditions of the brake include pedal pressure;
steering behavior information: frequency of steering, angle of steering;
vehicle position information: acquiring a real-time position of the vehicle by using a positioning system;
driver behavior information: the habit of the driver comprises the number of sudden acceleration times and the number of sudden braking times;
the cloud server can provide comprehensive vehicle monitoring and management service by comprehensively analyzing multidimensional data uploaded by the vehicle-mounted T-box, and helps to improve driving safety and vehicle operation efficiency.
Further, the cloud server comprehensively analyzes the vehicle data and the driving data, and judges whether the vehicle has faults or not and whether a driver drives overtime or not through a built-in algorithm and a rule. The method specifically comprises the following steps:
analyzing driving data, and detecting abnormal driving behaviors of sudden acceleration, sudden braking and frequent lane change, and illegal behaviors of overspeed and illegal driving;
analyzing vehicle data, and monitoring fault codes and health conditions of a vehicle system;
and (3) monitoring driving duration: counting the driving time of a driver, and judging whether overtime driving conditions exist or not;
real-time position monitoring: monitoring the real-time position of the vehicle, and judging whether the vehicle deviates from a preset driving route;
when an abnormal condition is detected, a corresponding alarm or notification is triggered, and a driver or manager is notified through the smart watch APP.
Further, when the intelligent watch APP receives an alarm instruction of the cloud server, the alarm instruction is transmitted to the intelligent watch through the connection module, and the reminding module executes the corresponding alarm instruction.
Further, after the reminding module receives the alarm signal, the reminding module draws the attention of a driver in a mode of internally arranging a vibration motor or an acoustic prompt; the reminding content is displayed on the screen of the intelligent watch at the same time, so that a driver can clearly understand the reminding content; vibration and sound reminding are visual modes without influencing driving, and are helpful for attracting attention of drivers and avoiding the problems of fatigue driving, vehicle faults and the like.
Example 2:
a driving safety reminding method based on a smart watch comprises the following steps:
s1, vehicle data and driving data are collected by vehicle-mounted intelligent hardware;
s2, wearing an intelligent watch by the driver, and collecting data of the driver in real time;
the driver data includes physiological data and behavioral data of the driver;
s3, processing and analyzing the collected vehicle data, driving data and driver data, and transmitting an analysis result to the intelligent watch APP;
s4, the intelligent watch APP issues different types of reminders according to different analysis results.
Further, in step S3, after the smart watch collects the driver data in real time, corresponding data processing is performed, corresponding alarm signals are generated according to the set safety standards and rules, corresponding reminding is performed, and the driving state of the driver is detected in time.
Further, in step S3, the collected vehicle data and driving data are uploaded to a cloud server, stored in the cloud server and further processed, including data cleaning, anomaly detection and driving behavior analysis; according to the analysis result, the reminding information is issued to the intelligent watch APP, so that the driver is ensured to be informed in time; through cloud processing, efficient management and analysis of large-scale data are achieved, and real-time performance and accuracy of the system are guaranteed.
When the method is implemented, the cloud server or the intelligent watch APP or a built-in algorithm in the intelligent watch processes and analyzes the received data, wherein the method involves the use of technologies such as machine learning, pattern recognition and statistical methods to extract characteristics related to the behavior, physiological parameters and vehicle state of a driver. Training and optimizing an algorithm model by using historical data and marked dangerous condition samples so as to improve accuracy and reliability; the model may be used to identify characteristic patterns of dangerous situations such as overtime driving, dozing, or vehicle failure. In the real-time analysis process, a built-in algorithm is applied to analyze the received data in real time, and judgment is carried out according to predefined rules and models so as to determine whether dangerous situations exist. For example, a failure to do anything beyond a continuous prescribed time may be considered a timeout drive, a high frequency of eyelid closure may indicate dozing, and abnormal vehicle sensor data may suggest a vehicle malfunction.
The invention has been described with respect to the above-described embodiments, however, the above-described embodiments are merely examples of practicing the invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (10)
1. Driving safety reminding system based on intelligent wrist-watch, characterized by, include: the intelligent watch, the vehicle-mounted T-Box, the intelligent watch APP and the cloud server;
the intelligent watch is internally provided with a sensor module, a connecting module, an analysis module and a reminding module;
the sensor module is used for monitoring and collecting physiological data and behavior data of a driver in real time;
the physiological data refers to information related to physical conditions and physiological characteristics of a driver, including heart rate, blood pressure and respiratory rate of the driver;
the behavior data refer to the behavior characteristics and the action modes of the driver, including the movement, the gesture, the acceleration, the steering and the braking conditions of the driver;
the analysis module is used for analyzing the data acquired by the sensor module in real time and identifying dangerous behaviors of a driver, and the analysis result comprises: abnormal heart rate, rapid acceleration, rapid braking, abnormal steering, high pressure driving and high altitude driving;
the connection module is used for transmitting the data acquired by the sensor module and the analysis result of the analysis module to the intelligent watch APP;
the reminding module generates a corresponding alarm signal according to the analysis result of the analysis module and timely reminds a driver;
the vehicle-mounted T-Box integrates a vehicle data acquisition sensor and a data transmission module;
the vehicle data acquisition sensor acquires vehicle data and driving data by deeply reading automobile CAN bus data and a private protocol;
the data transmission module is used for transmitting the collected vehicle data and driving data to the cloud server through a GPRS network;
the cloud server stores and processes data from the vehicle-mounted T-box;
the intelligent watch APP is connected with the intelligent watch through Bluetooth or eSIM, receives data transmitted by the intelligent watch and the cloud server in real time, and generates reminding.
2. The smart watch-based driving safety reminder system of claim 1, wherein: the sensor module includes: heart rate sensor, acceleration sensor, gyroscope sensor, air pressure sensor;
the heart rate sensor is used for detecting the heart rate of the driver, namely the heart rate; the heart rate sensor is positioned on the back of the intelligent watch and is used for detecting pulse signals by contacting skin;
the acceleration sensor is used for measuring acceleration and deceleration of a driver; when the object is suddenly accelerated, the acceleration sensor can detect that the acceleration value suddenly increases to be a positive value; when the object suddenly decelerates, the acceleration sensor can detect that the acceleration value suddenly becomes smaller and takes a negative value; the acceleration sensor records the movement and vibration of the watch in all directions;
the gyroscope sensor is used for measuring the angular speed and the direction of the intelligent watch; detecting rotation, turning and tilting of the smart watch by the gyro sensor;
the air pressure sensor is used for measuring air pressure change of the environment; the air pressure sensor provides information about the altitude, thereby obtaining a change in altitude of the location where the driver is located.
3. The smart watch-based driving safety reminder system of claim 2, wherein: the analysis module is configured to analyze the data in the data collection system,
setting a heart rate value normal interval, and indicating that the physical condition of the driver is abnormal when the detected heart rate value is not in the normal interval; wherein, when the detected heart rate value is higher than the maximum value of the normal interval, the emotion of the driver is excited;
when the heart rate continuously rises and exceeds a normal interval, judging that the driver is in a high-pressure driving state;
judging whether a driver accelerates suddenly or brakes suddenly by analyzing the positive and negative of the value of the acceleration sensor; if the value is positive, judging that the acceleration is rapid; if the value is negative, judging that the brake is sudden;
judging abnormal steering behaviors of the driver by analyzing the change condition of the angular velocity value, wherein the abnormal steering behaviors comprise: suddenly steering and frequently changing lanes; when the angular velocity value has a very large change in a short time, judging that a sudden steering behavior occurs; judging whether a driver frequently changes lanes or not by analyzing the frequency and the amplitude of the change of the angular speed;
detecting elevation change through the air pressure sensor, and judging that the driver is driving at high elevation if the elevation change is detected in a short time; high altitude driving may be associated with hypoxia, altitude reaction, etc., and may have an influence on the physical health and judgment ability of the driver.
4. The smart watch-based driving safety reminder system of claim 3, wherein: the vehicle data includes:
engine state: whether the engine is started or not and in an operating state;
vehicle diagnostic information: including fault codes and health status of the vehicle;
fuel consumption information: fuel consumption of the vehicle;
battery status: battery charge and state of charge;
vehicle warning information: warning and notification information of the vehicle system;
the driving data includes:
vehicle speed information: the current speed of the vehicle;
acceleration information: acceleration and deceleration of the vehicle;
steering angle information: steering angle of the vehicle;
brake information: the service conditions of the brake include pedal pressure;
steering behavior information: frequency of steering, angle of steering;
vehicle position information: acquiring a real-time position of the vehicle by using a positioning system;
driver behavior information: the habits of the driver include the number of sudden acceleration and sudden braking.
5. The smart watch-based driving safety reminder system of claim 4, wherein: the cloud server comprehensively analyzes the vehicle data and the driving data, and judges whether the vehicle has a fault or not and whether a driver drives overtime or not through a built-in algorithm and a rule; the method specifically comprises the following steps:
analyzing the driving data, and detecting abnormal driving behaviors of sudden acceleration, sudden braking and frequent lane change, and illegal behaviors of overspeed and illegal driving;
analyzing the vehicle data, and monitoring fault codes and health conditions of a vehicle system;
and (3) monitoring driving duration: counting the driving time of a driver, and judging whether overtime driving conditions exist or not;
real-time position monitoring: monitoring the real-time position of the vehicle, and judging whether the vehicle deviates from a preset driving route;
when an abnormal situation is detected, a corresponding alarm or notification is triggered, and a driver or manager is notified through the smart watch APP.
6. The smart watch-based driving safety reminder system of claim 5, wherein: when receiving the alarm instruction of the cloud server, the intelligent watch APP transmits the alarm instruction to the intelligent watch through the connection module, and the reminding module executes the corresponding alarm instruction.
7. The smart watch-based driving safety reminder system of claim 6, wherein: after receiving the alarm signal, the reminding module reminds the driver in a built-in vibration motor or sound reminding mode, and reminding contents are displayed on the screen of the intelligent watch.
8. The driving safety reminding method based on the intelligent watch is suitable for the driving safety reminding system based on the intelligent watch as claimed in claims 1-7, and is characterized by comprising the following steps:
s1, vehicle data and driving data are collected by vehicle-mounted intelligent hardware;
s2, wearing an intelligent watch by the driver, and collecting data of the driver in real time;
the driver data includes physiological data and behavioral data of the driver;
s3, processing and analyzing the collected vehicle data, driving data and driver data, and transmitting an analysis result to the intelligent watch APP;
s4, the intelligent watch APP issues different types of reminders according to different analysis results.
9. The smart watch-based driving safety reminding method according to claim 8, wherein: in step S3, after the intelligent watch collects the driver data in real time, corresponding data processing is performed, corresponding alarm signals are generated according to the set safety standards and rules, and corresponding reminding is performed.
10. The smart watch-based driving safety reminding method according to claim 9, wherein: in step S3, the collected vehicle data and driving data are uploaded to a cloud server, stored in the cloud server and further processed, including data cleaning, anomaly detection and driving behavior analysis; according to the analysis result, the reminding information is issued to the intelligent watch APP, so that timely notification of a driver is ensured.
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