Generative AI Work Support for Faster Plant Maintenance Inquiries
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Solution Overview
Problem
Existing work support technologies for plants and infrastructure are complex and time-consuming, requiring detailed keyword inputs and lacking immediate on-site support for inquiries, leading to potential delays in solving issues.
Innovation Solution
A work support system utilizing a generative AI model to generate replies based on acquired know-how information, enabling a work support apparatus and method that simplifies and practically supports maintenance work by generating presentation information from inquiry inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional work support technology is used, then know-how information can be extracted and stored, but the process becomes complicated and time-consuming requiring detailed keyword inputs
Solution Approach 1:
The system enables self-service by allowing workers to naturally speak their questions without requiring them to manually construct complex keyword queries. The voice input interface automatically captures the essence of the question and translates it into an information retrieval query, eliminating the burden of learning and using complex search syntax.
Solution Approach 2:
The patent replaces the mechanical process of manual keyword typing and structured query construction with an acoustic field-based voice recognition system. This substitution transforms the information retrieval process from a mechanically precise but cumbersome task into a more intuitive and faster verbal communication process.
2Loss of information
If conventional work support technology is used, then information can be retrieved, but it cannot provide immediate on-site support for inquiries
Solution Approach 1:
The system performs preliminary action by pre-storing extensive know-how information, historical data, and procedural knowledge in the information retrieval system before actual work occurs. This preparation allows the system to immediately query and retrieve relevant information when workers have on-site inquiries, eliminating delays associated with compiling or gathering information during the work process.
Solution Approach 2:
The patent introduces an intermediary system consisting of the voice recognition module, information retrieval database, and processing unit that mediates between the worker's verbal question and the stored know-how information. This intermediary chain enables rapid translation and retrieval of information without requiring direct access to complex databases by the workers themselves.
3Measurement precision
If detailed keyword inputs are required, then information retrieval can be precise, but the process becomes complex and time-consuming
Solution Approach 1:
The system enables self-service by allowing workers to naturally speak their questions without requiring them to manually construct complex keyword queries. The voice input interface automatically captures the essence of the question and translates it into an information retrieval query, eliminating the burden of learning and using complex search syntax.
Solution Approach 2:
The patent changes the input parameter from structured text keywords to acoustic voice signals. This parameter transformation maintains the precision of information retrieval while dramatically improving ease of operation, as voice input is more intuitive and faster than typing or selecting from structured query forms.
Data Source
AI summary
Provided is a control unit configured to acquire know-how information on work related to at least a plant or infrastructure from a worker terminal that is used for the work performed by a person engaged in the work in a work site, accumulate the know-how information, generate, when inquiry information related to the work is accepted, based on the inquiry information, a question that requests generative AI that uses a large language model to generate a reply produced using the know-how information, generate presentation information that is presented to the worker terminal corresponding to an inquiry source based on the reply to the question received from the generative AI, and transmit the presentation information to the worker terminal.