Tire state monitoring method based on study-type multiple perception and device
A learning and tire technology, applied in tire measurement, optical observation device, signal device, etc., can solve the problems of high cost, inability to display tire pressure value, product cost, installation and maintenance cost, etc.
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Embodiment 1
[0047] Such as figure 1 As shown, the embodiment of the present invention proposes a tire pressure monitoring method, including:
[0048] S11. Download the actual tire pressure values, tire usage time, tire mileage, tire speed limit, tire load limit, and tire wear parameter data of the four tires A, B, C, and D from the human-computer interaction interface terminal.
[0049] At any time through the external human-computer interaction interface associated with this device, if there is a "confirmation" operation, it will automatically download A, B, and C from the human-computer interaction interface terminal through the vehicle bus communication interface, serial communication or other wireless communication methods. , D The actual tire pressure value of the four tires, tire usage time, tire mileage, tire speed limit, tire load limit, tire wear and other parameter data, which also includes date and time information, alarm automatic shutdown time, etc.
[0050] If the setting o...
Embodiment 2
[0101] Such as figure 2 As shown, the embodiment of the present invention provides a tire condition monitoring device based on learning multi-sensing, including: microprocessor, storage unit, data communication unit, sound alarm unit, light alarm unit, power management unit, radio frequency unit and A temperature sensor; the storage unit stores the computer program used by the method in Example 1. Use the bus communication interface to read the vehicle ABS wheel speed sensor (pulse generator), vehicle mileage, driving speed, vehicle identification code, brake opening and closing degree, accelerator opening and closing degree, steering wheel angle and other metadata, to achieve multiple perception, deep learning, parameters Calibration, error and interference processing, intelligent analysis, calculation of vehicle tire pressure and quantitative evaluation of tire status.
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