ETC系统的控制方法、装置、计算机设备、计算机可读存储介质和计算机程序产品

By acquiring scene feature data of ETC on-board units and using machine learning models to intelligently recommend and automatically adjust sensitivity levels, the problem of high communication failure rate and frequent misreading of ETC devices in different scenarios has been solved, thereby improving communication success rate and user experience.

CN121940732BActive Publication Date: 2026-07-17ANHUI YILU WEIHANG TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ANHUI YILU WEIHANG TECH CO LTD
Filing Date
2026-03-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The fixed communication sensitivity of ETC vehicle-mounted devices leads to a high failure rate and frequent misreadings in different usage scenarios, failing to meet personalized needs and resulting in a poor user experience.

Method used

By acquiring scene feature data from in-vehicle devices, the sensitivity level is intelligently adjusted using a communication sensitivity level recommendation model. The model, trained based on machine learning, recommends the most suitable sensitivity level according to the scene feature data and completes the automatic adjustment via Bluetooth commands.

Benefits of technology

It improves the communication success rate and user experience of ETC devices in different usage scenarios, and solves the problem that fixed sensitivity settings cannot adapt to complex and ever-changing scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请涉及一种ETC系统的控制方法、装置、计算机设备、计算机可读存储介质和计算机程序产品。方法包括:获取目标车载设备的当前通信场景的场景特征数据;将场景特征数据输入预设的通信灵敏度档位推荐模型中,得到通信灵敏度档位推荐模型输出的目标车载设备在当前通信场景对应的目标通信灵敏度档位;根据目标通信灵敏度档位对目标车载设备进行通信参数调整。采用本方法能够提高ETC系统的通信成功率。
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