AI Recipe Optimizer With Real-Time PLC Feedback Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current industrial and laboratory process management systems operate offline, leading to delays in data collection and processing, inefficiencies, and manual error corrections, with a need for real-time data integration, dynamic recipe formulation, instant error detection, and continuous model updates.
Innovation Solution
AI Process and Recipe Optimizer software directly interfaces with PLCs to collect and analyze live data, using advanced algorithms for real-time recipe adjustments and continuous model updates, enabling dynamic recipe formulation, immediate error correction, and proactive self-correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If offline systems are used to generate and optimize process recipes, then system complexity is reduced, but real-time data collection and processing are delayed
Solution Approach 1:
The patent merges the recipe generation system with the PLC control system into a single integrated real-time platform. The Recipe Maker software directly interfaces with the PLC to collect live data, analyze it using machine learning algorithms, and adjust process recipes instantly without offline processing, eliminating the separation between recipe optimization and real-time control operations
Solution Approach 2:
The patent introduces an intermediary software layer (Recipe Maker) that acts as a bridge between the PLC control system and the recipe optimization functions. This intermediary collects data from the PLC, processes it through machine learning models, and feeds adjusted recipes back to the PLC, enabling real-time optimization while maintaining system modularity
2Productivity
If manual error corrections are implemented, then system complexity is reduced, but productivity and response time are reduced
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors process outcomes, compares actual results with target values, and automatically generates corrective actions. When deviations are detected, the Recipe Maker analyzes the error, adjusts the process recipe accordingly, and sends corrected parameters back to the PLC for immediate implementation, creating a closed-loop automated correction system
Solution Approach 2:
The patent enables the system to self-correct errors through automated machine learning algorithms that continuously learn from process data. The system autonomously identifies trends, predicts potential issues, and adjusts recipes without human intervention, with the model improving its correction capabilities over time through continuous learning from historical and real-time data
3Adaptability or versatility
If static process models are used, then model complexity is reduced, but adaptability to process trends is reduced
Solution Approach 1:
The patent transforms static process models into dynamic, adaptive models that continuously evolve with process conditions. The machine learning models are designed to be retrained and updated in real-time as new data becomes available, allowing them to adapt to changing process trends, seasonal variations, and equipment degradation patterns while maintaining accurate predictions
Data Source
AI summary
The AI Process and Recipe Optimizer offers a novel approach in industrial and laboratory process management technology. This software tool is designed to interface directly with a Programmable Logic Controller (PLC) in real-time. As it collects and analyzes live data, it crafts and adjusts Process Recipes accordingly. Leveraging advanced algorithms, including regression, machine learning, and vector analysis, the tool constructs models for every variable in the recipe. If discrepancies arise between expected outcomes and actual results, the Recipe Maker can quickly correct these errors in real-time. It stands out by continuously refreshing these models with live data, ensuring they accurately reflect the most recent process trends and patterns. This unique integration of real-time data interfacing, immediate recipe formulation, and on-the-spot error correction sets a fresh benchmark in process management tools.