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METHOD AND SYSTEM FOR PROVIDING ARTIFICIAL INTELLIGENCE ANALYTIC (AIA) SERVICES FOR PERFORMANCE PREDICTION

机译:提供用于性能预测的人工智能分析(AIA)服务的方法和系统

摘要

One embodiment of the present invention predicts a vehicular event relating to machinal performance using information obtained from interior and exterior sensors, vehicle onboard computer (“VOC”), and cloud data. The process of predication is able to activate interior and exterior sensors mounted on a vehicle operated by a driver for obtaining current data relating to external surroundings, interior settings, and internal mechanical conditions of the vehicle. After forwarding the current data to VOC to generate a current vehicle status representing real-time vehicle performance in accordance with the current data, retrieving a historical data associated with the vehicle including mechanical condition is retrieved. In one aspect, a normal condition signal is issued when the current vehicle status does not satisfy with the optimal condition based on the historical data. Alternatively, a race car condition is issued when the current vehicle status meets with the optimal condition.
机译:本发明的一个实施例使用从内部和外部传感器,车载计算机(“ VOC”)和云数据获得的信息来预测与机械性能有关的车辆事件。预测过程能够激活由驾驶员操作的安装在车辆上的内部和外部传感器,以获得与车辆的外部环境,内部设置和内部机械状况有关的当前数据。在将当前数据转发到VOC以根据当前数据生成表示实时车辆性能的当前车辆状态之后,检索与车辆相关联的包括机械状况的历史数据。一方面,基于历史数据,当当前车辆状态不满足最佳条件时,发出正常状态信号。或者,当当前车辆状态满足最佳条件时,发出赛车状态。

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