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RISK ASSESSMENT FOR INDUSTRIAL SYSTEMS USING BIG DATA

机译:大数据对工业系统的风险评估

摘要

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.
机译:基于云的风险评估服务从多个相关且相互关联的来源收集工业数据,以在云平台上进行存储和分析。该服务分析了来自不同行业内部和外部来源以及客户的收集数据,以根据行业类型,应用程序类型,使用中的设备,设备配置以及其他此类变量来确定运营趋势。基于分析,风险评估服务可以识别客户特定工业企业中固有的风险因素。与行业标准,产品信息,内部业务期望,外部监管机构和/或过去的业绩相比,基于云的系统为客户生成风险概况,以识别确定的风险并根据客户的具体概况建议风险规避策略。风险简介是针对工厂级用户和业务级用户量身定制的,以提供智能策略来提高性能并防止可避免的损失。

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