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    SELF-ADAPTIVE DEVICE INTELLIGENCE AS A SERVICE ENTERPRISE INFRASTRUCTURE FOR SENSOR-RICH ENVIRONMENTS
    1.
    发明申请
    SELF-ADAPTIVE DEVICE INTELLIGENCE AS A SERVICE ENTERPRISE INFRASTRUCTURE FOR SENSOR-RICH ENVIRONMENTS 审中-公开
    自适应设备智能作为传感器环境的服务企业基础设施

    公开(公告)号：US20160067864A1

    公开(公告)日：2016-03-10

    申请号：US14844286

    申请日：2015-09-03

    Applicant: Accenture Global Services Limited

    Inventor： Parmila Mullan ,  Michael Mui ,  Anuraag Chintalapally ,  Cindy Au

    IPC: B25J9/16 ,  B25J9/00

    Abstract: A device intelligence architecture configures and controls on-site devices and performs environment monitoring to facilitate effective device functionality. The architecture facilitates efficient use of devices (e.g., robotics) in an unstructured and dynamic environment, which will allow deployments in many more environments than is currently possible. The architecture stores and shares information between segregated devices to avoid the silo effect of vendor specific stacks. The architecture also models capabilities of devices and maps actions to intelligence packages to deploy a specific intelligence package to the device. The architecture also implements distributed processing. For instance, computationally intensive tasks may be offloaded to the back end processing, with action updates resulting from the processing pushed to the devices.

    Abstract translation: 设备智能架构配置和控制现场设备，并执行环境监控以促进有效的设备功能。 该架构有助于非结构化和动态环境中的设备（例如，机器人技术）的有效使用，这将允许在比目前可能的更多环境中部署。 架构在隔离设备之间存储和共享信息，以避免供应商特定堆栈的筒仓效应。 该体系结构还模拟设备的功能，并将操作映射到智能包以将特定的智能包部署到设备。 该架构还实现分布式处理。 例如，计算密集型任务可以被卸载到后端处理，其中由处理推动的动作更新被推送到设备。

    Unmanned vehicle (UV) control system
    3.
    发明授权
    Unmanned vehicle (UV) control system 有权
    无人驾驶车辆（UV）控制系统

    公开(公告)号：US09567077B2

    公开(公告)日：2017-02-14

    申请号：US14619854

    申请日：2015-02-11

    Applicant: ACCENTURE GLOBAL SERVICES LIMITED

    Inventor： Pramila Mullan ,  Walid Negm ,  Edy S. Liongosari ,  Paul Barsamian ,  Brian Richards ,  Sang-Ik Kim ,  Michael Mui ,  Robert Fenney

    IPC: G05D1/02 ,  B64C39/02 ,  G05D1/10 ,  G05D1/00

    CPC classification number: G05D1/104 ,  B64C39/024 ,  B64C2201/127 ,  B64C2201/141 ,  G05D1/0088

    Abstract: Unmanned vehicle (UV) control may include receiving a UV work order and generating a mission request based on the UV work order. The mission request may identify an objective of a mission, assign a UV and a sensor to the mission from a fleet of UVs and sensors, and assign a first movement plan to the mission based on the identified objective of the mission. The assigned UV may be controlled according to the assigned first movement plan, and communication data may be received from the assigned sensor. The communication data may be analyzed to identify an event related to the mission. The identified event and the first movement plan may be analyzed to assign a second movement plan to the mission based on the analysis of the identified event and the first movement plan to meet the identified objective of the mission.

    Abstract translation: 无人驾驶车辆（UV）控制可以包括接收UV工作命令并基于UV工作命令生成任务请求。 任务要求可以确定一个任务的目标，从一个紫外线和传感器队伍的任务中分配一个紫外线和一个传感器，并根据任务的确定目标，向任务分配一个第一个移动计划。 可以根据所分配的第一移动计划来控制分配的UV，并且可以从分配的传感器接收通信数据。 可以分析通信数据以识别与任务相关的事件。 可以分析所识别的事件和第一移动计划，以基于对所识别的事件和第一移动计划的分析来向该任务分配第二移动计划，以满足所确定的任务的目标。

    Self-adaptive device intelligence as a service enterprise infrastructure for sensor-rich environments
    4.
    发明授权
    Self-adaptive device intelligence as a service enterprise infrastructure for sensor-rich environments 有权

    公开(公告)号：US10754328B2

    公开(公告)日：2020-08-25

    申请号：US14844286

    申请日：2015-09-03

    Applicant: Accenture Global Services Limited

    Inventor： Pramila Mullan ,  Michael Mui ,  Anuraag Chintalapally ,  Cindy Au

    IPC: G05B19/418 ,  B25J9/16 ,  G06F8/60

    Abstract: A device intelligence architecture configures and controls on-site devices and performs environment monitoring to facilitate effective device functionality. The architecture facilitates efficient use of devices (e.g., robotics) in an unstructured and dynamic environment, which will allow deployments in many more environments than is currently possible. The architecture stores and shares information between segregated devices to avoid the silo effect of vendor specific stacks. The architecture also models capabilities of devices and maps actions to intelligence packages to deploy a specific intelligence package to the device. The architecture also implements distributed processing. For instance, computationally intensive tasks may be offloaded to the back end processing, with action updates resulting from the processing pushed to the devices.

    Unmanned vehicle (UV) control system
    6.
    发明授权
    Unmanned vehicle (UV) control system 有权

    公开(公告)号：US10031529B2

    公开(公告)日：2018-07-24

    申请号：US15394359

    申请日：2016-12-29

    Applicant: Accenture Global Services Limited

    Inventor： Pramila Mullan ,  Walid Negm ,  Edy S. Liongosari ,  Paul Barsamian ,  Brian Richards ,  Sang-Ik Kim ,  Michael Mui ,  Robert Fenney

    IPC: G05D1/02 ,  G05D1/10 ,  B64C39/02 ,  G05D1/00

    Abstract: Unmanned vehicle (UV) control may include receiving a UV work order and generating a mission request based on the UV work order. The mission request may identify an objective of a mission, assign a UV and a sensor to the mission from a fleet of UVs and sensors, and assign a first movement plan to the mission based on the identified objective of the mission. The assigned UV may be controlled according to the assigned first movement plan, and communication data may be received from the assigned sensor. The communication data may be analyzed to identify an event related to the mission. The identified event and the first movement plan may be analyzed to assign a second movement plan to the mission based on the analysis of the identified event and the first movement plan to meet the identified objective of the mission.

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