Process Automation Facility Layout Using Reference Embeddings
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Solution Overview
Problem
Designing process automation facilities from scratch is costly and time-consuming due to the lack of transferable knowledge from existing facilities, requiring significant expertise and time, and existing technologies do not effectively leverage knowledge from reference facilities.
Innovation Solution
Implementing machine learning techniques to generate federated information models that automate the design process by comparing customer inputs to reference embeddings, generating template design documents using graph neural networks and other machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If design is done from scratch using traditional methods, then design quality can be maintained through expertise, but design time and cost increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-processing reference design documents and generating embeddings before they are needed. Reference facilities are analyzed in advance, their design documents are processed, and embeddings are stored in a database, so that when a new design is needed, the comparison and template generation can occur rapidly without re-processing the reference data.
Solution Approach 2:
The system creates simplified copies of complex reference design documents by generating embeddings that capture essential design characteristics. These embedding copies can be quickly compared and matched against new design requirements, avoiding the need to manually analyze entire reference designs while still preserving the key design knowledge.
2Manufacturing precision
If expertise is concentrated in few personnel, then design quality is maintained, but knowledge transfer to other personnel is difficult
Solution Approach 1:
The system introduces an intermediary mechanism - the embedding-based comparison system - that bridges the gap between expert knowledge and novice practitioners. Experts create and validate the reference embeddings, while the system automatically applies this knowledge to new designs, making expert knowledge accessible and transferable to other personnel without requiring them to possess the same level of expertise.
Solution Approach 2:
The system replaces the mechanical transmission of knowledge through training and mentorship with an automated information processing system. Instead of relying on human-to-human knowledge transfer, the system uses machine learning models and embedding comparisons to automatically apply design knowledge, making it independent of individual expert availability.
3Manufacturing precision
If detailed design documents are created manually, then design completeness is ensured, but automation level remains low
Solution Approach 1:
The system implements feedback by comparing new design inputs against reference design embeddings and automatically generating template design documents based on the similarity matching. This closed-loop process continuously refines design document generation by learning from reference facilities while maintaining design completeness through structured template outputs that ensure all necessary design elements are included.
Data Source
AI summary
Implementations herein leverage knowledge about historical process automation facilities to automate designing a new process automation facility. A first level design input may be processed to generate a first embedding that encodes design aspect(s) of the requested process automation facility with a degree of detail commensurate with a first level of a hierarchy reflected by design documents typically used to design a process automation facility. The first embedding may be used to find first level reference embeddings that encode design aspects of reference process automation facilities. Second level reference embedding(s) may be identified based on mapping(s) from the selected first level reference embedding(s). Each second level reference embedding may encode design aspect(s) of a respective reference process automation facility with a degree of detail that is commensurate with a second level of the design document hierarchy. Based on the second level reference embedding(s), template design document(s) may be provided.