The Boeing Company

Guijun Wang

Changzhou Wang

Haiqin Wang

Rodolfo Acuna Santiago

Alice Chen

Arun Ayyagari

John L Meier

Robert John Rencher

Sharon Filipowski Arroyo

Kent L English

Robert J Winig

Roland Nelson Freeman

Alimuddin Mohammad

Yong-Long Calvin Ling

Casey Fung

John William Glatfelter

Jeff Miller

Raju Shankar Mattikalli

Arnold W Nordsieck

Paul J Schachter

Edward Li

Stephen A Uczekaj

Nicholas Multari

Raluca M Dumitrache

Marco R Calderon

Steve Uczekaj

Tripti Mandal

Priya Sukumaran

Michael J Christian

Christopher Matsuoka

Lu Yue

Joseph R Dvorak

Yichi C Pierce

Jingwen Jin

Victor Lukasik

Shiang-Yu Lee

Dongliang Lin

Changhou Wang

Victor J Lukasik

Casey K Fung

Nicholas J Multari

A method of developing a product is provided that includes generating a digital system model (DSM) that describes the product and a manufacturing process for the product, and generating a digital twin (DTw) of an instance of a component of the manufacturing process, the DTw including a digital replica of the instance. The method includes receiving attribute data for attributes of process/process characteristics subject to sources of variation that affect product quality. The digital replica is executed with input of the attribute data, and thereby updating the DTw to replicate the instance of the component of the manufacturing process as performed. A data analysis of the manufacturing process is performed based on the DTw as updated, and the manufacturing process is modified based on the data analysis to reduce variability in one or more product characteristics. The DTws of multiple instances may be used to generate further improvement.

Development of a product using a process control plan digital twin

A method of operating an aircraft. The method includes sensing, using a trusted sensor, a trusted parameter of the aircraft during operation of the aircraft; receiving, at a processor, the trusted parameter; entering, by the processor, the trusted parameter as a first immutable entry into a ledger stored on an immutable non-transitory computer-recordable storage medium, wherein immutable is defined as unchangeability of data stored on the non-transitory computer-recordable storage medium, and wherein the ledger also contains additional immutable entries regarding operations of the aircraft and an aircraft environment; executing, by the processor, a recursive analysis algorithm on the first immutable entry together with the additional immutable entries to produce analyzed data; and using, by the processor, the analyzed data to improve future operational performance of the aircraft by ordering changes in how a component of the aircraft performs during operation of the aircraft based on the analyzed data.

Aircraft digital event ledger

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.

System and method for transforming mission models from plan goal graph to Bayesian network for autonomous system control

An apparatus is provided for directing movement of a physical object within a three-dimensional (3D) navigable region of an environment. Generally, the apparatus divides the navigable region into geometric segments, and assigns a sequence of the geometric segments from a location to a destination to, and for movement of, the physical object. That is, the apparatus assigns a next geometric segment to the physical object moving in a current geometric segment in the sequence. The next geometric segment is then analyzed based on operational parameters of the physical object and a condition of the environment. In at least one increment, the next geometric segment is adjusted and reassigned to the physical object based thereon. Thereafter, the apparatus directs the physical object to move from the current geometric segment into the next geometric segment so assigned, or into the next geometric segment so reassigned in the at least one increment.

Analysis of object movement within an environment

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.

Integrated scheduling of general messages and time-critical messages

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.

System and method for identifying performance characteristics in asynchronous networks

A distributed ecosystem including an analysis computing resource and a network is disclosed. The distributed ecosystem also includes at least one sensor for monitoring a characteristic of the distributed ecosystem, at least one localized computing resource in communication with the at least one sensor, and a gateway controller. The gateway controller is in communication with the at least one sensor, the at least one localized computing resource, and the analysis computing resource. The gateway control includes control logic for monitoring the at least one sensor for a data transmit function. The gateway controller also includes control logic for determining if the at least one localized computing resource has requisite resource capabilities for processing data generated by the at least one sensor in response to the data transmit function being transmitted by the at least one sensor.

System and method of determining network locations for data analysis in a distributed ecosystem

A dynamic network and a method for performing data analysis within a dynamic network. A query request generated by a root node in the dynamic network is propagated through other nodes in the dynamic network in a number of request messages. A number of response messages responding to the query request are received at the root node from the other nodes in the dynamic network. Data analysis is performed using data contained in the number of response messages as the number of response messages is received. A request index that keeps count of the number of request messages propagated through the dynamic network is updated using a tracking parameter in each of the number of response messages.

Performing dynamic data analysis within a dynamic network

Methods and systems for information state sharing and consistency maintenance in a distributed and decentralized network are presented. At a first node of a network, a first information state message (ISM) in a hypothesis phase is generated. The first ISM is propagated to at least one node of a spanning tree of the network, the spanning tree having a root at the first node. A verification opinion is received from the at least one node indicating if a state in the first ISM is verified by the at least one node. A consensus regarding the state in the first ISM is determined based on the verification opinion from the at least one node. A second ISM indicating a confirmed phase is propagated to the spanning tree if the consensus on the state of the ISM is reached.

Methods and systems for shared awareness through local observations and global state consistency in distributed and decentralized systems

A network node for a network having dynamic link states includes a processing unit and computer-readable memory for causing the processing unit to monitor a link state of the network; perform QoS provisioning and make appropriate updates to the QoS provisioning based on changes in the link state and QoS provisioning demands of QoS-aware applications; and provide notification to the QoS-aware applications to allow those applications to dynamically adapt to the link state changes.

QOS provisioning in a network having dynamic link states

One or more systems, methods, routines and/or techniques for mission-driven autonomous and adaptive resource management, for example to achieve mission objectives in Quality of Service-managed networked systems, are described. One or more resource allocation algorithms and one or more associated control architectures including component services may be used. A system and/or method may collect input parameters, evaluate system workloads and performance metrics, optimize resource allocations, and adapt to changing workloads and performance metrics to achieve mission objectives. One or more objective functions, one or more constraints and one or more optimization algorithms may be utilized to achieve optimal allocation of resources to maximize the delivered value of an objective function and/or the system. The systems, methods, routines and/or techniques described herein may be autonomic and self-adaptive without requiring human administrators to pre-determine parameters (e.g., demands on resources or performance properties) for specific applications, processes and/or clients.

Mission-driven autonomous and adaptive resource management

A method for administering object-based multi-level security in a service oriented architecture includes: (a) defining a plurality of multi-level security attributes for each of selected respective life-cycle states of a plurality of life-cycle states of a service object; (b) receiving a request from a requestor for the service object; (c) determining permitted actions for the service object based upon at least one selected multi-level security attribute of the plurality of multi-level security attributes, and based upon at least one life-cycle state of the plurality of life-cycle states of the service object; and (d) generating a quality of service security contract based upon the determination of permitted actions.

Method and system for object-based multi-level security in a service oriented architecture

Method and apparatus including processes, mechanisms, and devices for use with a networked mission system. The method includes receiving a mission representation including a plurality of actions in a mission and temporal and functional associations between the actions, wherein the actions are to be executed using a plurality of computing nodes. A Time Petri Net (TPN) model of the mission is generated based on the mission representation. The TPN model represents the actions in the mission, temporal constraints for the actions, and functional associations between the actions. An importance value and an urgency value associated with each action are determined based on the TPN model. One or more QoS policies are generated based on the importance values and the urgency values of the actions, wherein the QoS policies are applied to the computing nodes.

Methods and systems for mission-driven quality of service management

A method of managing information system resources to provide a message flow having a consistent level of quality of service (QoS) within and across a plurality of interconnected middleware domains is described. The method includes receiving a QoS message from a first QoS manager expressing at least one QoS requirement, translating the at least one QoS requirement to at least one parameter specific to a messaging service that communicatively couples multiple middleware domains, creating a client connection between a first middleware domain and the messaging service for receiving the message flow, transmitting the QoS message to a second middleware domain, and creating a client connection between the messaging service and the second middleware domain for transmitting the message flow.

Quality of service management for message flows across multiple middleware environments

A method determining distribution of a shared resource among nodes in a network includes: (a) identifying each node according to a function performed by the node; brokers collecting messages from the nodes and disseminating messages among the nodes; publishers originating messages for transmission via the network; subscribers receiving messages transmitted via the network; (b) in no particular order: (1) identifying a need for each node; and (2) identifying the shared resource available for distribution; (c) communicating the shared resource available for distribution within the network to the brokers; and (d) operating each broker to: (1) coordinate communication with all other brokers and individually apply an algorithm to optimally allocate the shared resource among the brokers; or (2) communicate with a central facility coupled with each broker while the central facility applies an algorithm to optimally allocate the shared resource among the brokers.

Growing community of inventors

Issaquah, WA, United States of America

Guijun Wang