Occupational driver health state in-transit real-time monitoring method

Abstract

The invention is suitable for the technical field of health monitoring, and provides an occupational driver health state in-transit real-time monitoring method. According to the method, monitoring of the health state of the driver includes driving fatigue, driving suitability, on-duty health trend, vitality, pressure, heart pumping function, arteriosclerosis risk, driving inclination, driving risk trend, hypotension, hypertension and heart rate. According to the method, the actual index data is periodically counted, the critical physiological parameter threshold value of each index data is determined, the actual index data is compared with the critical physiological parameter threshold value of each index data, and early warning is carried out if the threshold values are exceeded, so that an operation company can carry out intervention actions in time; and accidents caused by accidental accidents and abnormal body of the driver are reduced. The method has the advantages of being comprehensive, real-time and personalized, is suitable for various traffic environments requiring high attention to the health of the driver, and is beneficial to improving the driving safety.

Description

Technical Field

[0001] The present invention belongs to the technical field of health monitoring, and in particular relates to a method for real-time on-the-way monitoring of the health status of professional drivers. Background Art

[0002] Traffic accidents have become one of the main factors threatening the lives and safety of people in many countries around the world. According to accident statistics from the transportation department, the number of deaths caused by traffic accidents in my country is no less than 500,000 each year, of which about 20% of traffic accidents are directly attributed to fatigue driving and driver health problems, which has caused direct economic losses of up to millions to the society. What is more worrying is that professional drivers generally have bad living habits such as long-term overtime, staying up late, and long-term continuous driving. These habits cause their physical condition to be in a sub-healthy or fatigued state for a long time, which buries safety hazards during driving and greatly increases the risk of traffic accidents. In view of this, the present invention proposes a real-time on-the-way monitoring method for the health status of professional drivers. Summary of the invention

[0003] The purpose of the present invention is to provide a method for real-time on-the-way monitoring of the health status of professional drivers, aiming to solve the problems raised in the above-mentioned background technology.

[0004] The purpose of the present invention is achieved through the following technical solutions:

[0005] The method for real-time monitoring of the health status of professional drivers on the way includes the following steps:

[0006] Step 1: Use the monitoring bracelet to periodically collect data on a series of physiological indicators of the driver, including heart rate, pulse wave front area S1, pulse wave back area S2, blood pressure-diastolic pressure, blood pressure-systolic pressure and heart rate variability; use the vehicle-mounted sensor to periodically collect data on driving behavior indicators, including the number of speeding warnings a, the number of vehicle-to-vehicle distance monitoring times f, the number of collision risk warnings g, the number of fatigue driving warnings b, the number of distraction warnings c, the number of departures from the driving position d, the number of phone calls e and the number of steering wheel departures h;

[0007] Step 2: Set a critical physiological parameter threshold for each physiological and behavioral indicator;

[0008] Step 3: Determine whether the indicator data collected by the monitoring wristband and the vehicle-mounted sensor exceeds the corresponding critical physiological parameter threshold;

[0009] Step 4: When the corresponding physiological parameter exceeds the set physiological parameter threshold, an early warning is issued, and a comprehensive evaluation is performed based on the data to provide the driver's health monitoring status;

[0010] The driver's health monitoring status includes driving fatigue, driving suitability, on-the-job health trends, vitality, stress, heart pumping function, arteriosclerosis risk, driving tendency, driving risk trend, hypotension, hypertension and heart rate.

[0011] Furthermore, the indicator used for monitoring the driving fatigue state is heart rate; the heart rate state is counted 6 times every half hour, and if it continues to decrease, an early warning is issued, and the content of the early warning is a driving fatigue warning.

[0012] Furthermore, the indicators used for monitoring the driving suitability status are the pulse wave front area S1 and the pulse wave back area S2; PAI=S1 / S2 is defined, and when PAI>0.75, an early warning is issued, and the content of the early warning is that the person is not suitable for driving.

[0013] Furthermore, the indicators used for on-the-job health trend status monitoring are heart rate, blood pressure-diastolic pressure and blood pressure-systolic pressure; the number of heart rate and blood pressure alarms in the previous hour is counted every 15 minutes. If the cumulative number of alarms exceeds 3 times within 1 hour, it indicates that the health trend has deteriorated, and an early warning is issued, and the content of the early warning is that the health trend has deteriorated.

[0014] Furthermore, the indicators used for monitoring the vitality status are the pulse wave front area S1 and the pulse wave rear area S2; it is defined that when the difference between the pulse wave rear area S2 and the pulse wave front area S1, i.e. S2-S1<600, an early warning is issued, and the content of the early warning is a decrease in vitality.

[0015] Furthermore, the indicator used for monitoring the stress state is heart rate variability; HRV is defined as <0.4s. When the threshold is exceeded, an early warning is issued, and the content of the early warning is that the stress is increased.

[0016] Furthermore, the indicator used for monitoring the heart's pumping function status is the pulse wavefront area S1; the pulse wavefront area S1 is defined as > 3000. When the threshold is exceeded, an early warning is issued, and the early warning content is that the heart's pumping function is abnormal.

[0017] Furthermore, the indicator used for monitoring the risk status of arteriosclerosis is the area behind the pulse wave S2; the area behind the pulse wave S2 is defined as > 10000. When the threshold is exceeded, an early warning is issued, and the content of the early warning is that the risk of arteriosclerosis is increased.

[0018] Furthermore, the indicators used for the driving tendency state monitoring are the number of speeding warnings, the number of vehicle-to-vehicle monitoring times and the number of collision risk warnings. The number of warnings for the three indicators of speeding warning, vehicle-to-vehicle monitoring and collision risk warning within a 10-minute period are counted as a, f and g respectively. It is defined that t=a+f+g exceeds 10 times, that is, when t>10, a warning is issued, and the warning content is excessive driving.

[0019] Furthermore, the indicators used for the driving risk trend status monitoring are the number of speeding warnings, the number of fatigue driving warnings, the number of distraction warnings, the number of departures from the driving position, the number of phone calls and the number of departures from the steering wheel. The number of alarms for the six indicators of speeding warning, fatigue driving warning, distraction warning, departure from the driving position, phone calls and departure from the steering wheel within a 30-minute period is counted as a, b, c, d, e and h respectively, and the total score is weighted and calculated as follows:

[0020] Score=0.15a+0.16b+0.14c+0.18d+0.29e+0.08h;

[0021] When Score ≥ 3, an early warning is issued, indicating that driving is risky.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] The present invention provides a method that can monitor the driver's health status on the road in real time. By comprehensively analyzing the driver's physiological data and behavioral data, real-time monitoring and early warning of the driver's psychological and physiological health status can be achieved. This method can not only record and analyze the historical data of each driver and conduct personalized evaluations, but also perform multi-dimensional status monitoring, thereby more comprehensively reflecting the driver's psychological and physiological health status, thereby improving the comprehensiveness of the early warning system. When the driver's life and health are in danger, the system will immediately issue an early warning, allowing the operating company to take timely intervention actions to reduce accidents caused by accidental deaths and physical abnormalities of the driver. This method performs periodic statistics and comparisons on multiple health indicators, and has the advantages of being comprehensive, real-time, and personalized. It is suitable for a variety of traffic environments that require a high degree of attention to the driver's health, and helps to improve driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 The figure is a flow chart of the method of the present invention.

[0025] Figure 2 The figure is a flow chart of the driving fatigue status monitoring in the present invention.

[0026] Figure 3 It is a flow chart of driving suitability status monitoring in the present invention.

[0027] Figure 4 It is a flow chart of on-the-job health trend status monitoring in the present invention.

[0028] Figure 5 It is a flow chart of the vitality status monitoring in the present invention.

[0029] Figure 6 It is a flow chart of pressure state monitoring in the present invention.

[0030] Figure 7 This is a flow chart of monitoring the heart pumping function status in the present invention.

[0031] Figure 8 This is a flow chart of monitoring the risk status of arteriosclerosis in the present invention.

[0032] Fig. 9 It is a flow chart of driving tendency state monitoring in the present invention.

[0033] Fig.10 It is a flow chart of driving risk trend status monitoring in the present invention. DETAILED DESCRIPTION

[0034] In order to have a clearer understanding of the technical features, purposes and beneficial effects of the present invention, the technical solution of the present invention is now described in detail below, but it should not be construed as limiting the applicable scope of the present invention.

[0035] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0036] One embodiment of the present invention provides a method for real-time monitoring of the health status of professional drivers on the way, and its flow chart is as follows: Figure 1 As shown, the method comprises the following steps:

[0037] Step 1: After the driver wears the status monitoring bracelet, the monitoring bracelet is used to periodically collect data on a series of physiological indicators of the driver, including heart rate, pulse wave front area S1, pulse wave back area S2, blood pressure-diastolic pressure, blood pressure-systolic pressure and heart rate variability (HRV); at the same time, the vehicle-mounted sensor is used to periodically collect data on indicators of driving behavior, including the number of speeding warnings a, the number of vehicle-to-vehicle monitoring times f, the number of collision risk warnings g, the number of fatigue driving warnings b, the number of distraction warnings c, the number of departures from the driving seat d, the number of phone calls e and the number of steering wheel departures h;

[0038] Step 2: Set a critical physiological parameter threshold for each physiological and behavioral indicator based on medical research and safe driving standards;

[0039] Step 3: Determine whether the indicator data collected by the monitoring wristband and the vehicle-mounted sensor exceeds the corresponding critical physiological parameter threshold;

[0040] Step 4: When the corresponding physiological parameter exceeds the set physiological parameter threshold, an early warning is issued, and a comprehensive evaluation is performed based on the data to provide the driver's health monitoring status.

[0041] As a preferred embodiment of the present invention, the driver's health monitoring status includes driving fatigue, driving suitability, on-the-job health trends, vitality, stress, heart pumping function, arteriosclerosis risk, driving tendency, driving risk trend, and also includes hypotension, hypertension and heart rate. Real-time monitoring of the driver's health status can promptly issue an early warning when the driver's body shows abnormalities, avoiding traffic accidents caused by the driver's physical discomfort. Real-time monitoring of the driver's driving tendency and driving risk trend can detect and promptly avoid the driver's excessive driving behavior and driving risks. Healthy driving behavior can also complete transportation tasks with higher efficiency and improve overall transportation efficiency.

[0042] 1) If Figure 2 As shown, the indicator used for the driver fatigue status monitoring is heart rate; the heart rate status is counted 6 times every half an hour. If it continues to decrease, an early warning is issued, and the early warning content is a driver fatigue early warning. Driver fatigue status monitoring plays an important role in preventing traffic accidents, improving driving safety, assisting drivers in making judgments, promoting the development of intelligent driving, and improving driving experience.

[0043] 2) If Figure 3 As shown in the figure, the indicators used for driving suitability status monitoring are the pulse wave front area S1 and the pulse wave back area S2; PAI = S1 / S2 is defined, and when PAI>0.75, an early warning is issued, and the early warning content is unsuitable for driving. Driving suitability status monitoring plays an important role in improving the overall quality of drivers, preventing traffic accidents, optimizing driving training, promoting the development of intelligent driving technology, and improving the level of road traffic safety.

[0044] 3) If Figure 4 As shown, the indicators used for on-the-job health trend status monitoring are heart rate, blood pressure-diastolic pressure and blood pressure-systolic pressure; the number of heart rate and blood pressure alarms in the previous hour is counted every 15 minutes. If the cumulative number of alarms exceeds 3 times within 1 hour, it indicates that the health trend has deteriorated, and an early warning is issued, and the content of the early warning is that the health trend has deteriorated. On-the-job health trend status monitoring plays an important role in protecting the health of workers, improving work efficiency, optimizing human resource allocation, and enhancing corporate image.

[0045] 4) If Figure 5 As shown, the indicators used for vitality status monitoring are pulse wave front area S1 and pulse wave rear area S2; it is defined that when the difference between pulse wave rear area S2 and pulse wave front area S1, i.e. S2-S1<600, an early warning is issued, and the early warning content is a decrease in vitality. Vitality status monitoring has broad application prospects and important roles in the field of driving. It can not only improve driving safety and optimize driving experience, but also assist intelligent driving systems, improve driver health management level, and support driving training and evaluation.

[0046] 5) If Figure 6 As shown, the indicator used for stress state monitoring is heart rate variability; heart rate variability (HRV) is defined as <0.4s. When it exceeds the threshold (ie, HRV ≥ 0.4s), an early warning is issued, and the content of the early warning is increased stress. Driver stress state monitoring plays a vital role in the driving field. It not only helps to improve driving safety, optimize driving experience and comfort, but also supports the development of intelligent driving systems and improves the health management level of drivers.

[0047] 6) If Figure 7 As shown, the indicator used for monitoring the heart's pumping function status is the pulse wavefront area S1; the pulse wavefront area S1>3000 is defined. When it exceeds the threshold (i.e., S1≤3000), an early warning is issued, and the early warning content is abnormal heart pumping function. Heart pumping function status monitoring plays an important role in the field of driving. It can not only assess the driver's health status and prevent driving risks, but also support the development of intelligent driving assistance systems and promote driver health management.

[0048] 7) If Figure 8 As shown, the indicator used for monitoring the risk status of arteriosclerosis is the area behind the pulse wave S2; the area behind the pulse wave S2>10000 is defined. When it exceeds the threshold (i.e., S2≤10000), an early warning is issued, and the early warning content is that the risk of arteriosclerosis increases. Arteriosclerosis risk status monitoring has many functions in the field of driving, including ensuring driving safety, preventing sudden illness, optimizing driving arrangements, supporting health management, and improving driving experience. Therefore, it is very important for drivers to monitor the risk status of arteriosclerosis.

[0049] 8) If Fig. 9 As shown, the indicators used for the driving tendency state monitoring are the number of speeding warnings, the number of vehicle-to-vehicle close monitoring and the number of collision risk warnings. The number of warnings for the three indicators of speeding warning, vehicle-to-vehicle close monitoring and collision risk warning within a 10-minute period are counted as a, f and g respectively. It is defined that t=a+f+g exceeds 10 times, that is, when t>10, a warning is issued, and the warning content is excessive driving.

[0050] 9) If Fig.10 As shown, the indicators used for the driving risk trend status monitoring are the number of speeding warnings, the number of fatigue driving warnings, the number of distraction warnings, the number of departures from the driving position, the number of phone calls and the number of departures from the steering wheel. The number of alarms of the six indicators of speeding warning, fatigue driving warning, distraction warning, departure from the driving position, phone calls and departure from the steering wheel within a 30-minute period is counted as a, b, c, d, e and h respectively, and the total score is weighted and calculated as follows:

[0051] Score=0.15a+0.16b+0.14c+0.18d+0.29e+0.08h;

[0052] When Score ≥ 3, an early warning is issued, indicating that driving is risky.

[0053] 10) The indicators used for monitoring the hypotension state are blood pressure-diastolic pressure and blood pressure-systolic pressure. The normal range of blood pressure-diastolic pressure is defined as <60 mmHg, and the normal range of blood pressure-systolic pressure is defined as <90 mmHg. If the blood pressure-diastolic pressure data and the blood pressure-systolic pressure data exceed the threshold value respectively, an early warning is issued, and the content of the early warning is low blood pressure.

[0054] 11) The indicators used for monitoring the hypertension status are blood pressure-diastolic pressure and blood pressure-systolic pressure. The normal range of blood pressure-diastolic pressure is defined as >80 mmHg, and the normal range of blood pressure-systolic pressure is defined as >130 mmHg. If the blood pressure-diastolic pressure data and the blood pressure-systolic pressure data exceed the threshold value respectively, an early warning is issued, and the content of the early warning is high blood pressure.

[0055] 12) The standard range of the heart rate is defined as 60-120 bpm / min. After exceeding the threshold, three consecutive measurements are taken, each with an interval of 15 seconds. If the threshold is exceeded again, an alarm is issued. If the heart rate is higher than the maximum value of the standard range, the alarm is that the heart rate is too high. If the heart rate is lower than the minimum value of the standard range, the alarm is that the heart rate is too low.

[0056] The working principle of the present invention is:

[0057] The real-time on-the-way monitoring method for the health status of professional drivers determines the critical physiological parameter thresholds of each indicator data by periodically collecting statistics on actual indicator data, and compares the actual indicator data with the critical physiological parameter thresholds of each indicator data, and issues an early warning if the thresholds are exceeded.

[0058] The above are only preferred embodiments of the present invention. It should be pointed out that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present invention. These should also be regarded as the protection scope of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent.

Claims

1. A method for real-time monitoring of the health status of professional drivers on the way, characterized in that: The following steps are involved: Step 1: Use the monitoring bracelet to periodically collect data on a series of physiological indicators of the driver, including heart rate, pulse wave front area S1, pulse wave back area S2, blood pressure-diastolic pressure, blood pressure-systolic pressure and heart rate variability; use the vehicle-mounted sensor to periodically collect data on driving behavior indicators, including the number of speeding warnings a, the number of vehicle-to-vehicle distance monitoring times f, the number of collision risk warnings g, the number of fatigue driving warnings b, the number of distraction warnings c, the number of departures from the driving position d, the number of phone calls e and the number of steering wheel departures h; Step 2: Set a critical physiological parameter threshold for each physiological and behavioral indicator; Step 3: Determine whether the indicator data collected by the monitoring wristband and the vehicle-mounted sensor exceeds the corresponding critical physiological parameter threshold; Step 4: When the corresponding physiological parameter exceeds the set physiological parameter threshold, an early warning is issued, and a comprehensive evaluation is performed based on the data to provide the driver's health monitoring status; The driver's health monitoring status includes driving fatigue, driving suitability, on-the-job health trends, vitality, stress, heart pumping function, arteriosclerosis risk, driving tendency, driving risk trend, hypotension, hypertension and heart rate.

2. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicator used for monitoring the driving fatigue status is heart rate; the heart rate status is counted 6 times every half hour, and if it continues to decrease, an early warning is issued, and the content of the early warning is a driving fatigue warning.

3. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicators used for monitoring the driving suitability state are the pulse wave front area S1 and the pulse wave back area S2; PAI=S1 / S2 is defined, and when PAI>0.75, an early warning is issued, and the content of the early warning is that the person is not suitable for driving.

4. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicators used for the on-the-job health trend status monitoring are heart rate, blood pressure-diastolic pressure and blood pressure-systolic pressure; the number of heart rate and blood pressure alarms in the previous hour is counted every 15 minutes. If the cumulative number of alarms exceeds 3 times within 1 hour, it indicates that the health trend has deteriorated, and an early warning is issued, and the content of the early warning is that the health trend has deteriorated.

5. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicators used for monitoring the vitality status are the pulse wave front area S1 and the pulse wave rear area S2. It is defined that when the difference between the pulse wave rear area S2 and the pulse wave front area S1, that is, S2-S1<600, an early warning is issued, and the content of the early warning is a decrease in vitality.

6. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicator used for stress state monitoring is heart rate variability; HRV is defined as <0.4s. When the threshold is exceeded, an early warning is issued, and the content of the early warning is that the stress is increased.

7. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicator used for monitoring the heart's pumping function status is the pulse wavefront area S1; the pulse wavefront area S1 is defined as > 3000. When the threshold is exceeded, an early warning is issued, and the early warning content is that the heart's pumping function is abnormal.

8. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1 is characterized in that: The indicator used for monitoring the arteriosclerosis risk status is the area behind the pulse wave S2; the area behind the pulse wave S2 is defined as > 10000. When the threshold is exceeded, an early warning is issued, and the content of the early warning is that the risk of arteriosclerosis is increased.

9. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1, characterized in that: The indicators used for the driving tendency status monitoring are the number of speeding warnings, the number of close vehicle distance monitorings and the number of collision risk warnings. The number of warnings for the three indicators of speeding warnings, close vehicle distance monitoring and collision risk warnings within a 10-minute period are counted as a, f and g respectively. It is defined that t=a+f+g exceeds 10 times, that is, when t>10, a warning is issued, and the warning content is excessive driving.

10. The method for real-time monitoring of the health status of professional drivers on the way according to claim 1, characterized in that: The indicators used for the driving risk trend status monitoring are the number of speeding warnings, fatigue driving warnings, distraction warnings, departure from the driving position, phone calls, and steering wheel departure. The alarm times of the six indicators of speeding warning, fatigue driving warning, distraction warning, departure from the driving position, phone calls, and steering wheel departure within a 30-minute period are counted as a, b, c, d, e, and h, respectively, and the total score is weighted and calculated as follows: Score=0.15a+0.16b+0.14c+0.18d+0.29e+0.08h; When Score ≥ 3, an early warning is issued, indicating that driving is risky.

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