New York City, [March 6th, 2024] – Liam is on his first day on the job as a manager at Northwestern Paper Mill. He faces his first significant challenge. As he patrols the plant floor, he encounters a centrifugal pump leaking hot fluid. The on-site workers have never encountered this before and don’t know what to do. Everyone searches for the manual for the pump, but it has been misplaced. The unresolved leaking pump leads to a two-day plant shutdown, a substantial loss for the mill.
Could Liam have found a troubleshooting guide more quickly?
Why now?
The rise of GPT-powered technology together with advanced document storage search solutions present a solution for such scenarios. These technologies come together in the solution:
- Large Language Models (LLM): Facilitate natural, conversational interactions with digital systems.
- Vector Databases: Enhance the LLM’s provenance. That is, its ability to swiftly and accurately reference the correct documentation.
- List Matching: Aids workers in selecting the correct asset, ensuring the AI provides contextually accurate guidance.
- Voice Recognition: Advances in speech-to-text technology enable natural language speech conversations with the digital diagnostic assistant.
How does it work?
Imagine Liam asking the system, “Hey, the i-frame pump is leaking fluid. Can you help?” The system, utilizing its extensive database, responds, “The issue might be a worn seal or overheating. Please check the cooling lines (see page 117 of the Maintenance Manual 3620 i-FRAME type BB2 single stage ISO 13709 2nd Ed).”
What just happened was a combination of the above four systems working together to provide the following benefits:
- Accuracy and Safety: Referencing specific documents prevents the system from offering incorrect or hazardous advice. The operator can also refer to the official documentation for more details.
- Efficient Diagnosis: Armed with comprehensive knowledge, the digital assistant provides immediate, quick, and accurate diagnostic steps, saving valuable time.
- Better Maintenance Requests: Maintenance requests resulting from the digital diagnostic assistant are more detailed because the reporting person can perform initial diagnostic steps. Provided those steps can be performed safely.
- Balancing AI Insight and Common Sense: The system can offer suggestions that extend beyond the verbatim of the documented guidelines. That makes it better than a traditional search. When giving answers using common sense knowledge it always flags the answer as an AI-generated insights. This approach makes a safe trade-off between respects the worker's critical thinking while assisting with decision-making, especially in emergency situations, while also cautioning about non-documented advice.
How Datch solves this
The hypothetical incident at Northwestern Paper Mill highlights the benefit of advanced, AI-driven diagnostic tools in industrial settings. By incorporating these technologies, workers like Liam can quickly and safely address maintenance issues, preventing costly downtimes and boosting overall operational effectiveness.
Datch’s Diagnostic Assistant does just that.
Want to learn more?
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The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
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The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
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