Dynamic Process Control Using DFSA Workflow Reconfiguration
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Solution Overview
Problem
Traditional process automation systems lack flexibility and scalability, struggling to dynamically manage and reconfigure workflows in response to changing operational conditions, external failures, and performance metrics, leading to inefficiencies and manual intervention requirements.
Innovation Solution
The implementation of a Distributed Finite State Automata (DFSA) system that collects performance statistics, analyzes key performance indicators, and automatically reconfigures computing resources and workflow paths to meet operational conditions, enabling real-time adjustments and error recovery without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If traditional process automation systems use statically compiled process definition languages, then system stability and predictability are improved, but flexibility and adaptability to changing operational conditions deteriorate
Solution Approach 1:
The patent transforms the static, pre-compiled process definition language into a dynamic system using Finite State Automata (FSA) that can be reconfigured in real-time. The FSA model allows process workflows to be dynamically adjusted based on changing operational conditions, external failures, and performance metrics without requiring system shutdown or manual reprogramming, thus resolving the contradiction between stability and flexibility.
Solution Approach 2:
The system changes the fundamental parameter of process definition from static code to dynamic state transitions. By representing processes as FSA with states, transitions, and actions that can be modified at runtime, the system achieves both stability through formal methodology and flexibility through dynamic reconfiguration capabilities.
2Manufacturing precision
If traditional systems require manual intervention for out-of-range conditions, then control precision is improved, but productivity and response time deteriorate
Solution Approach 1:
The patent implements self-service automation where the FSA system automatically detects out-of-range conditions, analyzes them against defined criteria, and executes corrective actions without human intervention. The system monitors process conditions, identifies deviations, and autonomously adjusts workflows to maintain precision while eliminating manual response delays, thus resolving the contradiction between control precision and productivity.
Solution Approach 2:
The system establishes continuous feedback loops where process conditions are monitored, compared against specifications, and automatically adjusted through FSA state transitions. This closed-loop control maintains manufacturing precision while enabling rapid automated responses that eliminate manual intervention bottlenecks, thereby improving productivity.
3Reliability
If process automation systems use predefined workflows, then reliability is improved, but adaptability to external failures and changing conditions deteriorates
Solution Approach 1:
The patent transforms rigid predefined workflows into dynamic FSA models that can adapt to external failures and changing conditions. The FSA structure allows the system to maintain reliable operation through formal state validation while simultaneously adapting to unexpected events through runtime reconfiguration of transitions and actions based on monitored conditions.
Solution Approach 2:
The system incorporates error handling and recovery mechanisms within the FSA model that prepare for potential failures in advance. By defining alternative transitions and error states beforehand, the system can reliably handle external failures and changing conditions without compromising overall process reliability, thus resolving the contradiction between reliability and adaptability.
4Manufacturing precision
If systems halt production for operator intervention, then quality control is improved, but productivity and time efficiency deteriorate
Solution Approach 1:
The patent implements self-service quality control where the FSA system automatically monitors process conditions, detects deviations from specifications, and executes corrective actions without operator intervention. This maintains quality control through continuous automated monitoring and adjustment while eliminating time losses associated with manual intervention, thus resolving the contradiction between quality control and time efficiency.
Solution Approach 2:
The system ensures continuous quality control through uninterrupted automated monitoring and adjustment via FSA state transitions. By eliminating halts for manual intervention, the system maintains both quality standards and continuous production flow, thereby resolving the contradiction between quality control and time efficiency.
Data Source
AI summary
The systems and methods described provide improved process control operating range and capabilities and integrate process control monitoring and management with broader process automation (PA) systems process management, extending the real-time operation and control of a process control system to process handling of a PA system, and extending PA-style process management by adding real-time process controls and monitoring, and adding new functionality by permitting management of these processes to externally defined completion goals. This combination provides new functionality in dynamically determined process flexibility, extended operating range and extended process recipe definition capabilities for process control systems using this technology, and provides improved error recovery and exception handling of traditional PA systems.