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公开(公告)号：US11118936B1
公开(公告)日：2021-09-14
申请号：US16248682
申请日：2019-01-15
申请人： THE BOEING COMPANY
发明人： Changzhou Wang , Jun Yuan , Darren Puigh , Greg Jackson
摘要： A method for performing an operation on a flight sensor parameter includes receiving instructions indicating a description of a flight sensor parameter and an operation to be performed on the flight sensor parameter. The method includes generating executable code based on the instructions indicating the description and the operation. The method includes, after generating the executable code, associating the executable code with flight sensor data from one or more sensors. The flight sensor parameter includes a variable of the flight sensor data. The method further includes executing the executable code at a processor using the flight sensor data as an input to generate an output that indicates results of the operation.
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公开(公告)号：US20230298391A1
公开(公告)日：2023-09-21
申请号：US17588391
申请日：2022-01-31
申请人： The Boeing Company
发明人： Changzhou Wang
CPC分类号： G07C5/006 , G07C5/008 , G07C5/0816 , G07C5/085
摘要： A computing device predicts whether a given component currently installed on a vehicle should be removed from the vehicle, and if so, identifies the location of the given component on the vehicle. The prediction is based on a prediction model that is generated by the computing device using maintenance data associated with the maintenance of components currently installed on, and/or previously removed from, the vehicle, as well as removal data associated with the previous removal of the same type of components from the vehicle. Information associated with the prediction is then output graphically to a display so that an operator can effect the removal of the component.
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公开(公告)号：US11046453B2
公开(公告)日：2021-06-29
申请号：US16281479
申请日：2019-02-21
申请人： The Boeing Company
摘要： Disclosed herein is a method that comprises detecting that a rate of decrease in fuel quantity for an aircraft exceeds a previously-determined baseline rate of decrease in fuel quantity for the aircraft by a threshold rate during a corresponding segment of flight of the aircraft. The method also comprises determining that a fuel jettison setting for the aircraft is enabled in response to the detected increase in the rate of decrease in fuel quantity. The method further comprises determining that an angle of one or more flaps of the aircraft satisfies a threshold angle. The method additionally comprises generating an alert indicating possible fuel contamination of the one or more flaps due to jettisoned fuel.
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公开(公告)号：US20170054828A1
公开(公告)日：2017-02-23
申请号：US14832783
申请日：2015-08-21
申请人： The Boeing Company
发明人： Yong-Long Ling , Guijun Wang , Dongliang Lin , Changzhou Wang
IPC分类号： H04L29/08
CPC分类号： H04L67/325 , H04L67/10
摘要： A method, apparatus, and scheduling system for managing a mix of time-critical messages and general messages. Messages, which are referenced by message identifiers stored in a transmission queue buffer, are scheduled for transmission using a schedule configuration table. The schedule configuration table defines an order for processing a mix of time-critical messages and general messages. The messages are scheduled according to the characteristics for time-critical messages and general messages defined in columns of configuration tables and status tables. The messages that have been scheduled are transmitted from an end system in which the time-critical messages are prioritized during transmission over the general messages.
摘要翻译： 一种用于管理时间关键消息和一般消息的混合的方法，装置和调度系统。 由存储在传输队列缓冲器中的消息标识符引用的消息被调度为使用调度配置表进行传输。 计划配置表定义了用于处理时间关键消息和一般消息的混合的顺序。 消息根据时间关键消息和在配置表和状态表列中定义的一般消息的特性进行调度。 已经调度的消息是从终端系统发送的，在终端系统中，通过普通消息传输时间优先级高的消息。
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5.发明申请SYSTEM AND METHOD FOR IDENTIFYING PERFORMANCE CHARACTERISTICS IN ASYNCHRONOUS NETWORKS 有权用于识别异常网络性能特征的系统和方法公开(公告)号：US20160373367A1
公开(公告)日：2016-12-22
申请号：US14743471
申请日：2015-06-18
申请人： The Boeing Company
IPC分类号： H04L12/875 , H04L12/26
CPC分类号： H04L47/56 , H04L43/0852 , H04L47/00 , H04L47/621
摘要： A system for determining a worst case latency for a specific information flow that is part of a plurality of information flows and a worst case backlog for a specific queue that is part of a plurality of queues is disclosed. The plurality of information flows and plurality of queues are part of a configuration. The system performs operations including determining a maximum busy period length for the configuration. The operations include determining a set of candidate starting times for the configuration based on the maximum busy period length. The operations further include determining a maximum layout for a plurality of information flows within the configuration. The operations include updating the worst case latency and the worst case backlog based on the maximum layout. Finally, the operations include determining the worst case latency for the specific information flow and the worst case backlog for a specific queue.
摘要翻译： 公开了一种用于确定作为多个信息流的一部分的特定信息流的最坏情况延迟的系统以及作为多个队列的一部分的特定队列的最坏情况积压。 多个信息流和多个队列是配置的一部分。 系统执行包括确定配置的最大繁忙周期长度的操作。 这些操作包括基于最大繁忙时段长度确定用于配置的一组候选开始时间。 所述操作还包括确定所述配置内的多个信息流的最大布局。 这些操作包括基于最大布局更新最坏情况下的延迟和最坏情况的积压。 最后，操作包括确定特定信息流的最坏情况延迟和特定队列的最坏情况积压。
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公开(公告)号：US20230401899A1
公开(公告)日：2023-12-14
申请号：US17806025
申请日：2022-06-08
申请人： The Boeing Company
发明人： Changzhou Wang , Darren Puigh , Darren Brian Macer , Jun Yuan , Mark Mazarek , Lesley Quach
CPC分类号： G07C5/006 , G07C5/008 , G06K9/6256 , G06N20/00
摘要： A method, apparatus, system for managing a maintenance for a component in a vehicle. Sensor data is received for the vehicle. Target parameters are predicted using behavior machine learning models trained using first training data to predict the target parameters for a normal behavior of the component operating in a tolerance, wherein the target parameters characterize behavior of the component. Prediction metrics are determined from predicted values for the target parameters predicted by behavior machine learning models and actual values for the target parameters. Whether the component will fall out of the tolerance after a time period is predicted using the prediction metrics and a maintenance machine learning model trained using second training data to predict whether the maintenance is needed for the component, wherein the second training data comprises historical prediction metrics determined for the target parameters.
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公开(公告)号：US11209810B2
公开(公告)日：2021-12-28
申请号：US16427885
申请日：2019-05-31
申请人： THE BOEING COMPANY
摘要： Aspects of the present disclosure provide a method and apparatus for predicting noncompliance conditions of rotating machinery in aerial vehicles. Embodiments include receiving records related to historical noncompliance conditions of a plurality of rotating machines. The records include deceleration time values related to the plurality of rotating machines. Embodiments include generating, based at least on the deceleration time values and the historical noncompliance conditions, a predictive model. Embodiments include receiving sensor data related to a rotating machine of an aerial vehicle. Embodiments include determining, based on the sensor data, a series of deceleration time values for the rotating machine. Embodiments include using the predictive model to determine whether a noncompliance condition is predicted to occur for the rotating machine based on the series of deceleration time values.
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公开(公告)号：US10401857B2
公开(公告)日：2019-09-03
申请号：US15634540
申请日：2017-06-27
申请人： The Boeing Company
发明人： Guijun Wang , Changzhou Wang
摘要： A method and system operable to perform the method is provided for control of an autonomous or unmanned system. The method includes obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal; producing, by a first hardware processor, a plan goal graph (PGG) model based on the mission model; transforming, by a second hardware processor, the PGG model into a Bayesian Network (BN) model; computing a feasibility to execute a plan and an achievability of accomplishing the goal; and providing control instructions to the one or more assets to be used to accomplish the goal.
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公开(公告)号：US09887928B2
公开(公告)日：2018-02-06
申请号：US14743471
申请日：2015-06-18
申请人： The Boeing Company
IPC分类号： H04L12/875 , H04L12/863 , H04L12/70 , H04L12/26
CPC分类号： H04L47/56 , H04L43/0852 , H04L47/00 , H04L47/621
摘要： A system for determining a worst case latency for a specific information flow that is part of a plurality of information flows and a worst case backlog for a specific queue that is part of a plurality of queues is disclosed. The plurality of information flows and plurality of queues are part of a configuration. The system performs operations including determining a maximum busy period length for the configuration. The operations include determining a set of candidate starting times for the configuration based on the maximum busy period length. The operations further include determining a maximum layout for a plurality of information flows within the configuration. The operations include updating the worst case latency and the worst case backlog based on the maximum layout. Finally, the operations include determining the worst case latency for the specific information flow and the worst case backlog for a specific queue.
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公开(公告)号：US20170337754A1
公开(公告)日：2017-11-23
申请号：US15157892
申请日：2016-05-18
申请人： THE BOEING COMPANY
发明人： Changzhou Wang , Jun Yuan , Brian K. Predmore
CPC分类号： G07C5/0841 , B64D43/02 , B64D45/0005 , G05B23/021 , G05B23/0245
摘要： A method includes obtaining data associated with operation of a vehicle and determining a first operational phase of the vehicle based on the data. The method includes identifying a candidate operational phase transition from the first operational phase to a candidate operational phase based on a first portion of the data satisfying a first condition associated with the candidate operational phase, the first portion of the data associated with a first time. The method includes evaluating a second portion of the data based on a second condition associated with the candidate operational phase, the second portion of the data associated with a second time that is subsequent to the first time. The method further includes, based on the second condition being satisfied, generating an operational phase transition indication associated with the first time and that indicates an operational phase transition to the candidate operational phase.
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