Cloud Virtualization for Industrial Automation Remote Control
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Solution Overview
Problem
Industrial automation systems lack efficient remote monitoring and control capabilities, limiting real-time data analysis and user interaction across distributed industrial environments.
Innovation Solution
A cloud-based virtualization system that collects and analyzes industrial automation data to generate a virtualized industrial automation system, enabling remote monitoring, tracking, and control through a multi-dimensional view and customizable user interfaces, with features like data overlays and virtual notes for enhanced collaboration and task management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If industrial automation systems use distributed local control systems, then system reliability and local autonomy are improved, but remote monitoring and control capabilities deteriorate
Solution Approach 1:
The patent creates a virtualized copy of the industrial automation system that replicates the physical system's structure, devices, and processes. This virtual model enables remote monitoring and control without altering the original distributed control architecture, thus maintaining system reliability while improving remote accessibility. Users interact with the virtualized system to monitor and control industrial processes from remote locations.
Solution Approach 2:
The virtualized industrial automation system acts as an intermediary between remote users and the physical distributed control system. It provides a centralized interface that connects to multiple distributed control systems, enabling remote monitoring and control capabilities without modifying the local autonomy or reliability of the original systems.
2Loss of information
If industrial automation systems are virtualized on a cloud platform, then data accessibility and collaboration are improved, but system complexity increases
Solution Approach 1:
The patent merges multiple distributed industrial automation systems into a unified virtualized system on a cloud platform. This consolidation improves data accessibility and collaboration by providing a single interface to access information from various sources, while the virtualization layer manages the complexity of integrating multiple systems.
Solution Approach 2:
The virtualized industrial automation system provides universal access to multiple distributed systems through a single cloud-based platform. It enables various user roles (operators, technicians, managers) to access and interact with the system according to their needs, improving data accessibility without requiring separate systems for each function or user type.
3Ease of operation
If a multi-dimensional virtualized view is implemented, then user interaction and control capabilities are improved, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing industrial automation data in the cloud before it reaches the user interface. Data is collected, validated, and structured in advance, enabling rapid display and interaction in the multi-dimensional virtualized view without real-time processing delays during user operations.
Solution Approach 2:
The patent implements a multi-dimensional virtualized view that adds spatial and organizational dimensions to data presentation. Instead of linear data displays, the system creates 3D visualizations and hierarchical views that enable users to interact with industrial processes from multiple perspectives simultaneously, improving ease of operation through more intuitive interfaces.
Data Source
AI summary
A cloud-based virtualization generation service collects industrial data from multiple industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. A virtualization management component (VMC) generates a virtualized industrial automation system of an industrial automation system based on data analysis results. The VMC facilitates remotely controlling the industrial automation system based on user interactions with the virtualized industrial automation system, and updates the virtualized industrial automation system based on collected data relating to the industrial automation system. The VMC customizes a user's view of the virtualized industrial automation system based on a user's role, authorization, location, or preferences, wherein different views of the virtualized industrial automation system with different data overlays are presented on different communication devices of different users. The VMC enables a user to filter data of a virtualized view and share information, including virtual notes, with other users.


