Chemical Product Tracking Using Unified Process Identifiers
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Solution Overview
Problem
In industrial plants, tracking and ensuring the quality of chemical products is challenging due to complex dependencies between input material properties and production parameters, especially in continuous or batch processes, where traditional machine learning approaches struggle with data integration and standardization across the value chain.
Innovation Solution
A method is provided for digitally tracking chemical products by creating an object identifier that encapsulates input material data and process data, allowing for improved traceability and integration with machine learning models, enabling better correlation of input material properties and process parameters to product properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional machine learning approaches are used for tracking chemical products, then data processing can be performed, but data integration and standardization across the value chain remain difficult
Solution Approach 1:
The patent combines multiple data sources (input material properties, process parameters, equipment operating conditions) into a single unified object identifier that tracks the chemical product throughout the value chain. This merging of previously separate data streams into one integrated identifier resolves the data integration complexity while maintaining product quality consistency.
Solution Approach 2:
The object identifier serves multiple functions simultaneously: it tracks the chemical product, stores input material data, records process parameters, and captures equipment operating conditions. This multi-functional approach eliminates the need for separate tracking systems and standardization protocols, thereby reducing data integration complexity while improving reliability.
2Measurement precision
If comprehensive process data is collected to improve product quality correlation, then prediction accuracy improves, but data standardization and exchange become more difficult
Solution Approach 1:
The patent merges all comprehensive process data (input material properties, process parameters, equipment operating conditions) into a single object identifier structure. This consolidation maintains complete data for accurate product property prediction while simplifying data exchange through a unified format that eliminates standardization barriers.
Data Source
AI summary
The present teachings relate to a method for digitally tracking a chemical product manufactured at an industrial plant comprising at least one equipment; and, the product being manufactured by processing, via the equipment, at least one input material using a production process, which method comprises: providing, via an interface, an object identifier comprising input material data; wherein the input material data is indicative of one or more property of the input material, receiving, via the interface, process data from the equipment; the process data being indicative of the process parameters and/or equipment operating conditions that the input material is processed under, appending, to the object identifier, at least a part of the process data. The present teachings also relate to a system for digitally tracking a chemical product and a software product.