The invention discloses a historical refueling data based truck monitoring method applicable to a non-inductive refueling station. The method comprises the steps of: mining the corresponding relationbetween the oil quantity of a truck and the distance and time through a deep neural network, and calculating a weight coefficient used for determining the matching of the quantity of oil added by thetruck in each refueling station and the distance and time between two adjacent refueling stations; furthermore, weighting the current distance characteristic vector, the current time characteristic vector and the current oil quantity characteristic vector of the truck by calculating the weight coefficient, and performing classification on the obtained characteristic vectors by a classifier, thus finally obtaining a monitoring result indicating whether the current state of the truck is normal or not.

    本申请公开了一种应用于无感加油站的基于历史加油数据的货车监控方法,其通过深度神经网络来挖掘出货车的油量与距离和时间之间的对应关系,以计算用于确定货车在各个加油站所加的油量与相邻两个加油站之间的距离和时间的匹配的权重系数;进一步地,通过计算出上述权重系数,就可以对货车的当前距离特征向量、当前时间特征向量和当前油量特征向量进行加权,并通过以此获得的特征向量来由分类器进行分类,最终获得货车的当前状态是否正常的监控结果。


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    Title :

    Historical refueling data based truck monitoring method applicable to non-inductive refueling station


    Additional title:

    应用于无感加油站的基于历史加油数据的货车监控方法


    Contributors:
    YUAN YAYAN (author)

    Publication date :

    2021-02-26


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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