EDGE COMPUTING BASED AIRPLANE AUXILIARY POWER UNIT HEALTH MONITORING SYSTEM

    公开(公告)号:US20200298995A1

    公开(公告)日:2020-09-24

    申请号:US16355973

    申请日:2019-03-18

    Abstract: A processor implemented method in an aircraft-mounted edge computing device configured for real-time monitoring and analysis of APU health information onboard an aircraft is provided. The method comprises: receiving raw APU data from an electronic control unit associated with an APU; downloading one or more tuning parameters from a cloud-based health monitoring system, wherein the one or more tuning parameters includes a threshold level that is adjustable by the cloud-based health monitoring system based on analyzed APU health information; analyzing the raw APU data using the one or more tuning parameters to capture elements of the raw APU data that indicate an APU health concern; reducing the amount of raw APU data in the captured elements by removing raw APU data indicating intermittent or false-positive APU health concerns; and transmitting the captured elements indicating an APU heath concern using an Internet of things protocol to the cloud-based health monitoring system.

    Edge computing based airplane auxiliary power unit health monitoring system

    公开(公告)号:US11097853B2

    公开(公告)日:2021-08-24

    申请号:US16355973

    申请日:2019-03-18

    Abstract: A processor implemented method in an aircraft-mounted edge computing device configured for real-time monitoring and analysis of APU health information onboard an aircraft is provided. The method comprises: receiving raw APU data from an electronic control unit associated with an APU; downloading one or more tuning parameters from a cloud-based health monitoring system, wherein the one or more tuning parameters includes a threshold level that is adjustable by the cloud-based health monitoring system based on analyzed APU health information; analyzing the raw APU data using the one or more tuning parameters to capture elements of the raw APU data that indicate an APU health concern; reducing the amount of raw APU data in the captured elements by removing raw APU data indicating intermittent or false-positive APU health concerns; and transmitting the captured elements indicating an APU heath concern using an Internet of things protocol to the cloud-based health monitoring system.

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