AR Work Support System Tailored to Worker Skill and Weather
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Solution Overview
Problem
Existing work support systems, such as those described in Patent Literature 1, are limited in their ability to provide non-uniform work support information to workers based on their skill level, weather conditions, information age, and the person transmitting the information.
Innovation Solution
A work support system that includes an extraction means for selecting work support information from a database based on conditions such as the worker's skill level, weather history, information generation date, and the person transmitting the information, and a transmission means for sending this information to augmented reality equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If uniform work support information is provided to all workers, then the system is simple to operate, but the information cannot be tailored to individual skill levels or conditions
Solution Approach 1:
The system applies local quality by providing different work support information to different workers based on their individual characteristics. The extraction means selects information tailored to each worker's skill level, weather conditions at their specific location, and other personalized factors, rather than providing uniform information to all workers.
Solution Approach 2:
The system changes parameters by varying the work support information based on multiple conditions including worker skill level, weather history, generation date, and information transmitting person. These parameter changes enable the system to adapt the information content to match specific worker needs and environmental conditions.
2Loss of information
If multiple extraction conditions are applied to select work support information, then the information becomes more relevant to workers, but the processing complexity increases
Solution Approach 1:
The system applies preliminary action by pre-storing work support information in a database with associated metadata such as skill level requirements, weather conditions, and generation dates. This allows the extraction means to quickly retrieve relevant information by matching current conditions against pre-organized data, reducing real-time processing complexity.
3Reliability
If work support information is customized based on worker skill level and conditions, then training effectiveness improves, but the system requires more sophisticated extraction capabilities
Solution Approach 1:
The system applies self-service by enabling workers to automatically receive appropriate work support information based on their profile and current conditions. The extraction means autonomously selects and transmits relevant information without requiring manual intervention from supervisors or trainers, improving both effectiveness and automation.
Data Source
AI summary
The extraction unit extracts at least one piece of work support information, according to an extraction condition, from a work support information database storing a plurality of pieces of work support information. The transmission unit transmits the at least one piece of work support information extracted by the extraction unit to augmented reality equipment. The extraction condition is at least any one of a degree of skill of a worker using the augmented reality equipment, a weather history at a work site, a generation date of the work support information, and an information transmitting person of the work support information.