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Auxiliary system based on power electronics
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A technology of auxiliary systems and power electronics, applied in the field of auxiliary systems, can solve problems such as misjudgment, increased accident rate, drowsiness, etc., and achieve the effect of accurate fatigue level and improved safety.
Pending Publication Date: 2022-05-06
华旭东
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Problems solved by technology
[0002] When the driver drives the vehicle for a long time, he will feel sleepy, prone to misjudgment and improper operation, resulting in traffic accidents. When driving on the expressway, it often takes a long time to drive, and the speed of the expressway vehicle is fast. Sleepiness leads to improper operation, which can easily cause huge chain traffic accidents
[0003] In addition, rear-end collision accidents are also common accidents on expressways. Keeping a reasonable distance from the front and rear vehicles and reducing driving speed can reduce the rate of rear-end collision accidents. When the scenery on the expressway is single, the probability of driver boredom will be higher , studies have shown that if there are more models in the traffic flow, the driver's boredom of a single scene will be reduced and the driver's attention will be improved. At the same time, bad weather such as heavy fog and rainfall will also lead to an increase in the accident rate
[0004] At present, drivers driving on expressways often rely on experience to judge whether they have fatigue driving, and they have no quantitative understanding of the risks in the driving process, and accidents often happen in an instant, and it is difficult for drivers to react at the moment of an accident , it is very easy to cause danger. At present, there is no reliable system that can accurately estimate the driving risk of the driver on the expressway. Therefore, it is necessary to design an auxiliary system based on power electronics with high reliability and accuracy.
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Embodiment 1
[0080] Embodiment 1: the driver is driving on the expressway, and the weather value I=100 at this time, it is detected that the driver's current blink frequency f=2s / time, the number of yawns per minute q=2, and the driver's visual range is rich in color Degree B=20, the distance of the front vehicle h1=20m, the distance of the rear vehicle h2=15m, the current speed v=85km / h, k=0.01, according to the formula Available, η=9.9%, ε=1, t=1h, according to the formula Can get, Q=20%, n=10, can get according to formula R=Q*η*I*n, R=19.8, the dangerous threshold value is 30, need not send reminder to the driver at this moment.
Embodiment 2
[0081] Embodiment 2: Driver 2 is driving on the expressway. At this time, the weather value I=100, it is detected that the driver's current blink frequency f=3s / time, the number of yawns per minute q=6, and the driver's visual range is rich in colors Degree B=20, the distance of the front vehicle h1=10m, the distance of the rear vehicle h2=20m, the current speed v=80km / h, k=0.01, according to the formula Available, η=12%, ε=1, t=1.5h, according to the formula It can be obtained that Q=15%, n=10, according to the formula R=Q*η*I*n, R=18, the risk threshold is 30, and there is no need to send a reminder to the driver at this time.
Embodiment 3
[0082] Embodiment 3: Driver 3 is driving on the expressway. At this time, the weather value I=100, it is detected that the driver's current blink frequency f=3s / time, the number of yawns per minute q=9, and the driver's visual range is rich in colors Degree B=20, the distance of the front vehicle h1=10m, the distance of the rear vehicle h2=10m, the current speed v=100km / h, k=0.01, according to the formula Available, η=20%, ε=1, t=2h, according to the formula It can be obtained that Q=30%, n=10, according to the formula R=Q*η*I*n, R=60, the risk threshold is 30, and a reminder needs to be issued to the driver at this time.
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Abstract
The invention discloses a power electronics-based auxiliary system, which comprises a human body feature acquisition module, an environment feature acquisition module and a risk estimation module, and is characterized in that the human body feature acquisition module is used for acquiring features of people in a vehicle, and the environment feature acquisition module is used for acquiring traffic and weather conditions outside the vehicle; the risk estimation module is used for estimating a driving risk value, the human body feature acquisition module comprises a thermal imaging module, a positioning module, a data storage module, a high-precision shooting module and a state judgment module, and the thermal imaging module is used for sensing a human body in a vehicle and performing thermal imaging on people in the vehicle; the positioning module is used for positioning the face of a person in the vehicle during imaging, the high-precision shooting module is used for shooting face images of the person in the vehicle, the storage module is used for storing the images, the behavior judgment module is used for judging the driving state of the person in the vehicle, and the system has the advantages of being high in reliability and accurate.
Description
technical field [0001] The invention relates to the technical field of auxiliary systems, in particular to an auxiliary system based on power electronics. Background technique [0002] When the driver drives the vehicle for a long time, he will feel sleepy, prone to misjudgment and improper operation, resulting in traffic accidents. When driving on the expressway, it often takes a long time to drive, and the speed of the expressway vehicle is fast. Sleepiness leads to improper operation, which can easily cause huge chain traffic accidents. [0003] In addition, rear-end collision accidents are also common accidents on expressways. Keeping a reasonable distance from the front and rear vehicles and reducing driving speed can reduce the rate of rear-end collision accidents. When the scenery on the expressway is single, the probability of driver boredom will be higher , studies have shown that if there are more models in the traffic flow, the driver's boredom of a single scene ...
Claims
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Application Information
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