Industrial AI Assistance Interface for Faster Documentation Retrieval
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Solution Overview
Problem
Industrial operators face inefficiencies in locating precise information for tasks in complex industrial automation environments due to overwhelming documentation volumes, leading to repetitive searches and reduced productivity.
Innovation Solution
An application service leveraging a general artificial intelligence model provides an interface with integrated organization capabilities, allowing users to pin responses and conversations for easy access, streamlining workflows and reducing repetitive queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operators consult detailed documentation to perform tasks, then task accuracy is improved, but time consumption increases
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between operators and documentation. The AI processes natural language queries and retrieves relevant information from extensive documentation, delivering precise answers without requiring operators to manually search through documents. This mediator resolves the contradiction by maintaining task accuracy through comprehensive documentation access while reducing time consumption via automated information retrieval.
Solution Approach 2:
The system pre-loads and indexes extensive documentation in the background before queries are submitted. By preparing the documentation base in advance and organizing it for rapid access, the system enables quick retrieval of precise information when operators submit queries, thus improving task accuracy without increasing operational time consumption.
2Loss of information
If operators search through extensive documentation for each task, then comprehensive information access is improved, but productivity decreases
Solution Approach 1:
The AI assistant extracts only the specific, relevant information needed to answer each operator query from the extensive documentation base. Instead of requiring operators to review comprehensive documentation, the system extracts and presents only the necessary details, maintaining complete information access for accurate task performance while significantly improving productivity by eliminating unnecessary reading time.
Solution Approach 2:
The system employs partial action by retrieving and presenting only the specific portion of documentation relevant to each query, rather than requiring operators to access the entire documentation set. This selective information delivery maintains comprehensive information access for accurate task completion while improving productivity by reducing the volume of information operators must process.
3Measurement precision
If operators repeat the same search process for previously accessed information, then information retrieval thoroughness is improved, but time efficiency worsens
Solution Approach 1:
The system performs preliminary actions by caching and storing previously accessed information and conversation histories. When operators submit repeated or similar queries, the AI checks the cached data first and retrieves relevant information without requiring a complete search process, thus maintaining thorough information retrieval while eliminating repetitive search time.
Solution Approach 2:
The AI assistant implements feedback mechanisms by analyzing conversation histories and operator query patterns. When similar queries are detected, the system provides feedback based on previous interactions and retrieved information, maintaining thoroughness in information retrieval while significantly reducing the time required for repetitive searches through intelligent query routing and history-based responses.
4Reliability
If comprehensive documentation is made available to operators, then task completion accuracy is improved, but system complexity increases
Solution Approach 1:
The AI assistant serves as an intermediary that manages the complexity of comprehensive documentation on behalf of operators. The system maintains extensive documentation to ensure task completion accuracy, while the AI intermediary handles the complexity of organizing, indexing, and retrieving information from this documentation, thus preserving reliability without exposing operators to system complexity.
Solution Approach 2:
The system creates structured copies and indexes of comprehensive documentation in organized formats that facilitate efficient querying. By maintaining organized copies of documentation metadata and key information structures, the system preserves task completion accuracy through comprehensive documentation availability while reducing the apparent complexity for operators through streamlined access interfaces managed by the AI.
Data Source
AI summary
The disclosure describes an application service that leverages a general artificial intelligence (GAI) model to provide industrial assistance to users. The application service selects domains based on user queries and retrieves documentation from the selected domains. The application service generates prompts tasking the GAI model to respond to the user query, where the prompt includes the retrieved documentation. The application service then provides the generated responses to user devices for display. A user may pin a generated response in a user interface of the user device. In response, the application service instructs the user device to spotlight the response in the user interface.