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 experience.
Innovation Solution
Implementing machine learning techniques to leverage federated information models derived from reference process automation facilities, generating template design documents by comparing customer inputs to reference embeddings using graph neural networks and other machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If knowledge from reference process automation facilities is not transferred, then design expertise must be acquired from scratch, but this increases cost and time requirements
Solution Approach 1:
The system performs preliminary action by pre-processing design information from reference process automation facilities into federated information models and embeddings before they are needed. This allows the knowledge to be ready for rapid retrieval and application when designing new facilities, eliminating the need to analyze reference facilities from scratch each time.
Solution Approach 2:
The system creates simplified copies of complex design knowledge by generating embeddings that capture essential design patterns from reference facilities. These embeddings serve as compressed representations that can be quickly compared and applied, rather than working with full design documents each time.
2Manufacturing precision
If detailed design documents are created manually, then design precision is maintained, but the process becomes time-consuming and costly
Solution Approach 1:
The system implements feedback by comparing embeddings of requested facilities against federated information models from reference facilities. This comparison provides feedback on design patterns, best practices, and relevant parameters that guide the generation of precise template design documents automatically.
Solution Approach 2:
The system replaces the mechanical process of manual document creation with an automated information processing system. Machine learning models and embedding comparisons substitute for human analysts, automatically generating design documents with appropriate precision without manual intervention.
3Reliability
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 creates universal knowledge representations through federated information models that can serve multiple purposes and be applied across different facilities and personnel. The embeddings capture design knowledge in a format that is universally applicable, allowing any user to access and apply expert-level knowledge without requiring specialized training.
Solution Approach 2:
The system introduces an intermediary layer between expert knowledge and end users. The federated information models and embedding comparison system act as a mediator that translates complex expert knowledge into actionable design templates, making expert-level design quality accessible to non-experts.
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.