Voice Production Line Assistant for Fast Worker Information Access
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Solution Overview
Problem
Workers in production lines, especially in manual operations like aeronautical Final Assembly Lines, face challenges in accessing necessary information promptly, as it is often stored in manuals or databases, leading to inefficiencies and downtime.
Innovation Solution
A method utilizing a neural network trained as a large language model to receive vocal inputs, process requests, and provide vocal responses directly to workers, integrating natural language processing to retrieve relevant information from databases and environmental data, thus acting as a production line assistant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If information is stored in manuals or databases, then information is preserved and organized, but access time increases and worker efficiency decreases
Solution Approach 1:
The patent introduces a wearable device with voice recognition capabilities as an intermediary between the worker and the information database. The device captures voice commands, processes them through a neural network to identify information needs, retrieves relevant data from databases or manuals, and provides vocal responses. This intermediary system eliminates the need for workers to manually search through physical or digital manuals, significantly reducing access time while maintaining complete information availability.
2Adaptability or versatility
If manual operations are used in production lines, then flexibility and adaptability are maintained, but productivity and output decrease
Solution Approach 1:
The wearable device enables workers to serve themselves by providing instant access to information about tools, parts, procedures, and troubleshooting. Workers can independently resolve questions without stopping to consult supervisors or search through documentation, maintaining operational flexibility while significantly improving productivity. The system allows workers to continue manual operations with enhanced knowledge support, achieving both adaptability and high output.
3Reliability
If workers search for information during operations, then complete information is available, but production downtime increases
Solution Approach 1:
The system performs preliminary actions by pre-loading and organizing all relevant production information into accessible databases. When a worker needs information, the neural network quickly identifies the specific need and retrieves pre-processed data, eliminating the need for workers to stop and search. This ensures complete information availability while maintaining continuous production flow, as all data is ready for instant delivery through the wearable device.
Data Source
AI summary
A method for assisting a worker in a production line by: receiving a vocal input message from the worker; converting the vocal input message into a text input message; processing the text input message using a neural network to identify the content of the text input message and extract a request about at least one item related to the production line, wherein the neural network is configured as a large language model, LLM, and trained with information about the items of the production line; generating a response message containing information about the item of the production line using the neural network; converting the response message into a vocal response message; and providing the vocal response message to the worker.