Risk assessment for industrial systems using big data

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.

Description

[0001] related application [0002] This application claims the benefit of U.S. Provisional Patent Application Serial No. 61 / 821,639, filed May 9, 2013, entitled "REMOTE SERVICES AND ASSET MANAGEMENT SYSTEMS AND METHODS," the entire contents of which are incorporated herein by reference. technical field [0003] The present application relates generally to industrial automation, and more specifically to risk assessment for industrial systems using big data analysis in a cloud platform. Background technique [0004] Industrial controllers and their associated I / O devices are central to the operation of modern automation systems. These controllers interact with field devices on the factory floor to control automated processes related to objectives such as product manufacturing, material handling, batch processing, monitoring, and other such applications. Industrial controllers store and execute user-defined control programs to incorporate controlled processes for decision mak...

AI Technical Summary

Problems solved by technology

[0007] Risk assessment for large industrial enterprises, often spread across multiple geographical locations, can be an arduous process given the large number of interdependencies between industrial assets and processes, the complexity of supply chains, fluctuating business concerns, etc.

Furthermore, given the inherent complexity of industrial systems, traditional risk assessment techniques may not consider interdependencies that are hidden or not obvious to the risk assessor performing the risk assessment

thus missing the opportunity to mitigate this hidden risk factor

Images