INFORMATION PLATFORM FOR INDUSTRIAL AUTOMATION STREAM-BASED DATA PROCESSING
    57.
    发明申请
    INFORMATION PLATFORM FOR INDUSTRIAL AUTOMATION STREAM-BASED DATA PROCESSING 审中-公开
    用于工业自动化流动数据处理的信息平台

    公开(公告)号:US20140379626A1

    公开(公告)日:2014-12-25

    申请号:US14242506

    申请日:2014-04-01

    Inventor: Rainer Hessmer

    CPC classification number: G06N5/04 G05B23/024 Y02P90/86

    Abstract: An apparatus to predict future behavior of devices in an industrial automation environment is provided. The apparatus includes a non-transitory computer-readable storage medium configured to store program instructions, and program instructions stored on the non-transitory computer-readable storage medium. The program instructions direct a processor within a stream-based processing system to receive a first raw data stream from a first manufacturing data source, and to analyze the first raw data stream with respect to behavior data corresponding to the first manufacturing data source. The program instructions also direct the processor to predict future behavior of one or more device associated with the first manufacturing data source, based on the analysis of the first raw data stream and the behavior data corresponding to the first manufacturing data source, and to perform an action based on the predicted future behavior of the one or more device.

    Abstract translation: 提供了一种用于预测工业自动化环境中设备未来行为的装置。 该设备包括配置成存储程序指令的非暂时计算机可读存储介质以及存储在非暂时性计算机可读存储介质上的程序指令。 程序指令指导基于流的处理系统内的处理器从第一制造数据源接收第一原始数据流,并且针对与第一制造数据源对应的行为数据分析第一原始数据流。 基于对第一原始数据流的分析和对应于第一制造数据源的行为数据,程序指令还指示处理器预测与第一制造数据源相关联的一个或多个设备的未来行为,并且执行 基于一个或多个设备的预测未来行为的动作。

    INDUSTRIAL DATA ANALYTICS IN A CLOUD PLATFORM
    58.
    发明申请
    INDUSTRIAL DATA ANALYTICS IN A CLOUD PLATFORM 有权
    云台平台中的工业数据分析

    公开(公告)号:US20140337429A1

    公开(公告)日:2014-11-13

    申请号:US14087873

    申请日:2013-11-22

    Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.

    Abstract translation: 支持云的工业设备将可靠的数据集提供给在云平台中作为服务执行的基于云的数据分析器。 除了工业设备生成或收集的工业数据之外,设备还可以将设备配置信息提供给基于云的分析仪,以识别设备和相关配置信息。 工业设备还可以提供识别工业设备的所有者,所有者的联系信息,主动服务合同等的客户数据。基于云的数据分析器利用该信息对数据执行各种定制分析并生成报告 或特定工业资产的所有者工业企业的最佳绩效和业务目标的通知,以及执行实时决策和控制。

    RISK ASSESSMENT FOR INDUSTRIAL SYSTEMS USING BIG DATA
    59.
    发明申请
    RISK ASSESSMENT FOR INDUSTRIAL SYSTEMS USING BIG DATA 有权
    使用大数据的工业系统的风险评估

    公开(公告)号:US20140337086A1

    公开(公告)日:2014-11-13

    申请号:US14087821

    申请日:2013-11-22

    Abstract: A cloud-based risk assessment service collects industrial data from multiple relevant and connected sources for storage and analysis on a cloud platform. The service analyzes gathered data from internal and external sources and customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on the analysis, the risk assessment service identifies risk factors inherent in a customer's particular industrial enterprise. The cloud-based system generates a risk profile for the customer that identifies the determined risks and recommends risk aversion strategies based on the customer's specific profile, compared to industry standards, product information, internal business expectations, external regulatory bodies, and/or past performance. Risk profiles are tailored for both plant-level users and business-level users to provide intelligent strategies to improve performance and prevent avoidable losses.

    Abstract translation: 基于云的风险评估服务从多个相关和连接的资源收集工业数据,以便在云平台上进行存储和分析。 服务分析收集来自不同行业的内部和外部来源和客户的数据,以确定作为行业类型,应用类型,使用设备,设备配置和其他此类变量的功能的运营趋势。 根据分析,风险评估服务确定客户特定工业企业固有的风险因素。 基于云的系统为客户生成识别确定的风险的风险简档,并根据客户的具体情况建议风险规避策略,与行业标准,产品信息,内部业务期望,外部监管机构和/或过去绩效相比较 。 为企业级用户和企业级用户量身定制风险简档,以提供智能战略来提高性能并避免可避免的损失。

    USING CLOUD-BASED DATA FOR INDUSTRIAL SIMULATION
    60.
    发明申请
    USING CLOUD-BASED DATA FOR INDUSTRIAL SIMULATION 有权
    使用基于云的数据进行工业仿真

    公开(公告)号:US20140337000A1

    公开(公告)日:2014-11-13

    申请号:US14087835

    申请日:2013-11-22

    CPC classification number: G06F17/5009 G06Q10/06 Y02P90/86

    Abstract: A cloud-based simulation generation service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service employs a simulation generator component that analyzes data to facilitate generating a simulation model that simulates an industrial automation system, including simulating or emulating industrial devices, industrial processes, other industrial assets, or network-related assets or devices, and their respective interrelationships with each other. The simulation generator component also analyzes modification data to facilitate generating a modified simulation model that simulates the industrial automation system based on the modification. The simulation generator component performs operation simulations using the simulation model or modified simulation model to facilitate determining whether making the modification is appropriate, determining or predicting performance of a modified industrial automation system, determining compatibility of a modification with an industrial automation system, or determining or predicting performance of the industrial automation system when processing a work order.

    Abstract translation: 基于云的模拟生成服务从云平台收集来自多个工业客户的工业数据进行存储和分析。 该服务采用模拟发电机组件,分析数据,以便生成模拟工业自动化系统的仿真模型,包括模拟或仿真工业设备,工业过程,其他工业资产或网络相关资产或设备,以及它们各自的相互关系 彼此。 模拟发电机组件还分析修改数据,以便生成基于修改的模拟工业自动化系统的修改后的仿真模型。 仿真发生器组件使用仿真模型或修改的仿真模型来执行操作模拟,以便于确定是否适当地进行修改,确定或预测改进的工业自动化系统的性能,确定修改与工业自动化系统的兼容性,或者确定或 预测工业自动化系统在处理工单时的性能。

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