公开(公告)号：US20040010492A1

公开(公告)日：2004-01-15

申请号：US10446115

申请日：2003-05-28

Applicant: XEROX CORPORATION

Inventor： Feng Zhao ,  Horst W. Haussecker

IPC: G06F007/00

CPC classification number: H04W40/04 ,  H04L45/025 ,  H04L45/14 ,  H04W40/20 ,  H04W84/18 ,  Y02D70/22 ,  Y02D70/32 ,  Y02D70/38 ,  Y10S707/959 ,  Y10S707/99933 ,  Y10S707/99935

Abstract: This invention describes methods and systems for tasking nodes in a distributed ad hoc network. A node is selected to participate in a data gathering or a routing task based on its potential contribution to information gain and the cost associated with performing the task such as communication bandwidth usage. This invention describes methods and systems for implementing various selection strategies at each node, using local knowledge about the network. For resource-limited sensor networks, the information-driven data gathering and routing strategies significantly improve the scalability and quality of sensing systems, while minimizing resource cost.

Abstract translation: 本发明描述了用于在分布式自组织网络中对节点进行任务的方法和系统。 基于其对信息增益的潜在贡献以及与执行诸如通信带宽使用的任务相关联的成本，选择节点参与数据收集或路由任务。 本发明描述了使用关于网络的本地知识在每个节点处实现各种选择策略的方法和系统。 对于资源有限的传感器网络，信息驱动的数据采集和路由策略显着提高了传感系统的可扩展性和质量，同时最大限度地降低了资源成本。

公开(公告)号：US20040117153A1

公开(公告)日：2004-06-17

申请号：US10320908

申请日：2002-12-17

Applicant: Xerox Corporation

Inventor： Robert P. Siegel ,  Feng Zhao

IPC: G06F015/00

CPC classification number: H04L41/16 ,  H04L41/0681 ,  H04L41/147

Abstract: A self-learning diagnostic system provides diagnostics capabilities which may be applied to a population of networked machines or components and assemblies in a product. The self-learning diagnostic system uses both the components own historical data and the data for an entire population of networked machines of a given product in the field as the training set to adjust critical threshold parameters for detection and diagnosis. The system includes a nominal diagnostic threshold setting module which sets initial thresholds and an adjustment module, which adjusts thresholds continuously based on machine performance data. A service records evaluation module checks service records periodically for correlations and an adjustment module adjust service strategies based on correlation data.

Abstract translation: 自学习诊断系统提供诊断功能，其可以应用于产品中的网络机器或组件和组件的群体。 自学习诊断系统使用自身历史数据的组件和用于现场给定产品的整个网络机器群体的数据作为训练集来调整用于检测和诊断的临界阈值参数。 该系统包括设置初始阈值的标称诊断阈值设置模块和基于机器性能数据连续调整阈值的调整模块。 服务记录评估模块周期性检查服务记录的相关性，调整模块根据相关数据调整服务策略。

公开(公告)号：US20020091491A1

公开(公告)日：2002-07-11

申请号：US09756455

申请日：2001-01-08

Applicant: Xerox Corporation.

Inventor： Warren B. Jackson ,  Sudhendu Rai ,  Feng Zhao

IPC: G01R013/02 ,  G06F019/00

CPC classification number: G05B19/4065 ,  G05B2219/37252 ,  G05B2219/37435

Abstract: A method and apparatus for collecting and using data is disclosed. There is at least one sensor that placed within a workspace for sensing vibrations associated with at least one machine operating in the workspace. In addition, there is at least one tag associated with a particular job. The tag indicates the contemporaneous status of tasks relating to the job. At least one processor is in communication with each of the at least one acoustic sensors and at least one tag. This processor receives data relating to acoustic and task status from the at least one acoustic sensor and at least one tag. The acoustic sensor senses vibration and/or sound. Workflow analysis and fault diagnosis and prediction are then based on data collected.

Abstract translation: 公开了收集和使用数据的方法和装置。 至少有一个传感器放置在工作空间内，用于感测与在工作空间中操作的至少一台机器有关的振动。 此外，至少有一个与特定作业相关联的标签。 标签表示与作业相关的任务的同期状态。 至少一个处理器与所述至少一个声学传感器和至少一个标签中的每一个通信。 该处理器从至少一个声学传感器和至少一个标签接收与声学和任务状态相关的数据。 声学传感器感测振动和/或声音。 然后根据收集的数据对工作流分析和故障诊断和预测进行分析。