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SYSTEM AND METHOD FOR JUST-IN-TIME LEARNING-BASED PREDICTIVE THERMAL MITIGATION IN A PORTABLE COMPUTING DEVICE

机译:便携式计算机中基于即时学习的预测热缓解的系统和方法

摘要

Various embodiments of methods and systems for just-in-time learning-based predictive thermal management (“JLPTM”) techniques implemented in a portable computing device (“PCD”) are disclosed. Embodiments of JLPTM systems and methods recognize that multiple thermal aggressors affect temperature readings of individual temperature sensors and that thermal events measured by those sensors may be predicted based on historical thermal behavior of the PCD. By monitoring various factors that contribute to thermal energy generation and/or dissipation in the PCD, JLPTM systems and methods may predict thermal events from historical thermal behavior data, identify optimum performance level settings combinations that will reduce thermal energy generation, and set a time in the future to apply an optimum performance level settings combination just-in-time to prevent the thermal event from occurring.
机译:公开了用于在便携式计算设备(“ PCD”)中实现的基于即时学习的预测性热管理(“ JLPTM”)技术的方法和系统的各种实施例。 JLPTM系统和方法的实施例认识到多个热侵害者影响单个温度传感器的温度读数,并且可以基于PCD的历史热行为来预测由那些传感器测量的热事件。通过监视有助于PCD中热能产生和/或消散的各种因素,JLPTM系统和方法可以根据历史热行为数据预测热事件,确定最佳性能水平设置组合以减少热能产生,并设置时间。将来应及时应用最佳性能级别设置组合,以防止发生热事件。

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