Process Control Data Center with Auto-Discovery Plant Modeling
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Solution Overview
Problem
Distributed industrial process control systems face challenges in scalability and integration with other systems due to fixed networking technologies, making it cumbersome and costly to scale up or down and integrate with systems at different security layers, while also requiring significant data integration to provide actionable information.
Innovation Solution
An industrial process plant data center is introduced, decoupling process plant data from fixed networking technologies, using a plant information model and generic framework with APIs to enable secure and scalable data integration and accessibility, featuring pluggable hardware modules with discovery and execution engines to automatically sense and connect with field devices and control processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed networking technologies are used in distributed industrial process control systems, then system stability and reliability are maintained, but scalability and adaptability deteriorate, making it cumbersome and costly to scale up or down and integrate with systems at different security layers
Solution Approach 1:
The system is segmented into independent pluggable hardware modules, each capable of being added, removed, or configured independently. This modular architecture allows the system to scale flexibly while maintaining stability through standardized interfaces and communication protocols.
Solution Approach 2:
The control system is designed with universal communication protocols and standardized interfaces that enable integration with systems at different security layers (OT and IT systems). The pluggable modules can support multiple communication protocols, making the system adaptable to various integration scenarios without compromising reliability.
2Stability of the object's composition
If fixed networking technologies are used in distributed industrial process control systems, then existing system architecture is maintained, but device complexity and integration cost increase, requiring significant data integration to provide actionable information
Solution Approach 1:
A data center platform acts as an intermediary layer between the pluggable hardware modules and the control systems. This platform provides standardized data integration and processing capabilities, reducing the complexity of integrating diverse data sources while maintaining architectural stability through a unified interface layer.
Solution Approach 2:
The system uses virtualization and software-defined networking to create virtual copies and representations of physical components. This allows complex integration scenarios to be managed through software configurations rather than physical reconfigurations, reducing integration complexity while maintaining system stability.
3Reliability
If traditional data center approaches are used, then security requirements are met, but data accessibility and integration efficiency deteriorate, making it difficult to provide actionable information across different security layers
Solution Approach 1:
The system introduces a new dimensional layer (the data center platform) that operates across traditional security boundaries. This platform enables secure data exchange and integration between OT and IT systems by implementing security policies at the platform level rather than requiring point-to-point security configurations, thereby improving integration efficiency while maintaining security compliance.
Data Source
AI summary
A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.