Modular Plant Control Architecture for Dynamic Process Line Reconfiguration
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Solution Overview
Problem
Existing plant control systems are inflexible and require costly rebuilds when changes are needed in the sequence of processing units or the process line layout, leading to disruptions and high operational costs.
Innovation Solution
A modular control system with a dynamically adaptive process control architecture that allows for easy reconfiguration of process lines and control systems, using a Machine-to-Machine (M2M) network with distributed machine control systems and a line control system that can dynamically structure and adjust the process line based on configuration parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed and rigid plant control system is used, then the system structure is simple and stable, but the system cannot adapt to changes in process line layout or sequence of processing units
Solution Approach 1:
The control system is divided into modular components including operational unit controllers, process control systems, and supervisory control systems. Each module can be independently configured and adapted, allowing the overall system to flexibly accommodate changes in process line layout while maintaining manageable complexity through standardized interfaces and communication protocols.
2Adaptability or versatility
If the sequence of processing units is changed, then the process line can meet new production needs, but the control system requires costly rebuilds and programming
Solution Approach 1:
The control system employs universal, standardized communication interfaces and protocols that allow the same control architecture to support multiple process line configurations. When the sequence of processing units changes, the system can be reconfigured by updating communication routing and control parameters rather than requiring complete system rebuilds, significantly reducing reconfiguration costs.
3Productivity
If manual control and monitoring is used, then the control system is simple, but the speed and precision of control is limited by human response time
Solution Approach 1:
The control system implements automated feedback loops where process control systems continuously monitor operational parameters, compare them against target values, and automatically adjust control outputs. Supervisory control systems provide higher-level monitoring and coordination. This automated feedback mechanism eliminates human response time limitations while maintaining manageable complexity through hierarchical control architecture.
4Adaptability or versatility
If the control system is rebuilt for new functionality, then the system can accommodate new processes, but production downtime increases
Solution Approach 1:
The control system is pre-configured with modular components and standardized interfaces that enable rapid reconfiguration. When new functionality is needed, pre-developed control modules can be quickly deployed and integrated without requiring complete system rebuilds during production, minimizing downtime while maintaining functional adaptability.
Data Source
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AI summary
Proposed is system and method for modular control system (1) providing a dynamically adaptive process control of a process line (301) of a plant (30) in a Machine-to-Machine network (403/M2M). The process line (301) of the plant (30) comprises a plurality of distributed machine control system (20) with one or more elements (303) interlocked to one or more operational unit (302) of the process line (303). The operation of an operational unit (302) performing a physical function within the process line (301) is controlled by an associated machine control system (20) by means of the elements (303) interlocked to the operational units (302). The interlocked elements (303) at least comprise IO-interfaces (3031) and actor control devices (3032).