Industrial Ontology Canvas
An ontology-driven industrial AI workspace that connects plant models, engineering relationships, operational data, and AI workflows in one shared system context. It enables engineers to move from fragmented drawings, sensor signals, and technical documents to visual modeling, real-time analysis, and context-aware AI assistance in one environment.
Business model
B2B Enterprise
Role:
Product Engineer
Date:
2026
Industry:
Industrial Operations
The Approach
Build the system first, then extend it with context and AI.
I structured equipment, ports, connections, and flow media as a shared system model, then connected operational data and AI workflows on top of that foundation.
Model the System
Represent equipment, ports, connections, and flow media as meaningful engineering relationships.
Connect the Context
Link sensor data, documents, and failure history back to the assets and relationships they describe.
Extend with AI Workflows
Use the shared context as the foundation for AI-assisted analysis and engineering workflows.
From workflow strategy to working product.
I translated these principles into Equipment 360 and used the live prototype to test how context, relationships, and evidence work together in a real investigation workflow.
Node Anatomy
Designing a Reusable Interaction Model for Industrial Workflows
Defining a Shared Structure Across Every Node
Each node follows the same interaction pattern, identity, typed ports, parameters, actions, and results, while adapting its content to the task.
This shared structure keeps complex workflows consistent and easier to learn, while leaving room for task-specific controls and outputs.
One Interaction Model, Multiple Industrial Capabilities
I standardized the core node structure so users could learn one interaction pattern and reuse it across very different workflow tasks.
Solution
Streamlined Access and Interactive Real-Time Data Display
Enhanced Usability and Clarity": Plan B's design prioritizes easy navigation with clear labeling and intuitive layout, simplifying filter adjustments and enhancing overall user-friendliness.
Simplified Layout and Reduced Cognitive Load.
Plan B's simplified layout eases decision-making and minimizes cognitive load, ensuring a smoother and more relaxed user experience.
Streamlining User Choices by Displaying High-Frequency Options.
Compared to Plan A, Plan B does not reduce the number of options but instead only displays a subset of commonly used, high-frequency options, eliminating distractions from other information. This approach facilitates quick decision-making for users by hiding complex or advanced features in deeper-level menus or settings
