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    • 5. 发明申请
    • METHOD AND SYSTEM FOR DETECTING OVERLOAD AND UNLAWFUL MEASUREMENT OF VEHICLE
    • 用于检测车辆过载和非法测量的方法和系统
    • US20120150778A1
    • 2012-06-14
    • US13164510
    • 2011-06-20
    • Ki Tae KIMHong Kyun KIM
    • Ki Tae KIMHong Kyun KIM
    • G06N3/02G06N5/02G06N5/00
    • G06N3/084G01G19/024
    • A method and system to detect correctly overload & unlawful loading of cargoes under any circumstance. The Detection method of wrong measurement according to this invention are configured of Practicing Phase of Artificial Intelligence Algorithm to discriminate Wrong Measured Information by false manipulation of axle from Normal Measured Information without false manipulation of axle of vehicles by Pattern Information; Recognizing entering vehicle and Collecting Phase of Basic Data of the vehicle including dead weight, maximum pay load, and axles information; Verifying Phase of current vehicle information including total weight, load on each axle, and entering speed; And Classifying Phase of Measured Status of above vehicle using above collected and verified information as input value to Artificial Intelligence Algorithm. It might be desirable that Neural Back-Propagation Algorithm is implemented to detection method of wrong measurement according to the Invent as an Artificial Intelligence Algorithm.
    • 在任何情况下正确检测货物过载和非法装载的方法和系统。 根据本发明的错误测量的检测方法由人造智能算法的实践阶段构成,以通过模拟信息对车辆的车轴进行虚假操纵来从正常测量信息中错误地操纵轴来鉴别错误的测量信息; 认识车辆进入车辆和收集阶段的基本数据,包括自重,最大负荷和车轴信息; 验证当前车辆信息的阶段,包括总重量,每个轴上的负载和进入速度; 并采用上述收集和验证的信息作为人工智能算法的输入值,对上述车辆的测量状态进行分类阶段。 根据Invent作为人工智能算法,可能希望将神经反向传播算法实现为错误测量的检测方法。