Wearable Device for Adaptive Electronic Apparatus Adjustment
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Solution Overview
Problem
Existing adjustment work assisting systems for electronic apparatuses on manufacturing lines lack the ability to dynamically provide personalized assistance based on the current status of each apparatus, relying on fixed procedures and instructions, which limits their effectiveness for non-expert workers.
Innovation Solution
A wearable device with near field wireless communication and a management server that identifies the electronic apparatus, retrieves and displays its current setting values, and generates assistance information based on past adjustment work history, suggesting new setting values to workers, enabling adaptive assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed work procedure and fixed work instruction are provided to workers, then the system complexity is reduced and ease of operation is improved, but the adaptability to different electronic apparatus statuses is worsened
Solution Approach 1:
The work instruction system transitions from static fixed instructions to dynamic adaptive instructions that automatically adjust based on the real-time status of the electronic apparatus. The management server retrieves current setting values from the apparatus and generates customized work instructions tailored to the specific status, making the system both easy to operate and highly adaptable.
Solution Approach 2:
The system implements a feedback loop where the management server continuously monitors the electronic apparatus status through setting values, compares them against target values, and generates appropriate work instructions based on the detected deviations. This feedback mechanism enables the system to adapt to different apparatus statuses while maintaining operational simplicity for workers.
2Measurement precision
If expert workers perform adjustment work based on their experience, then the adjustment accuracy is improved, but the dependency on expert availability and the complexity of training non-experts increases
Solution Approach 1:
The electronic apparatus essentially performs self-diagnosis by providing its current setting values to the management server, which then automatically generates appropriate adjustment instructions. This eliminates the need for expert workers to manually diagnose issues, thereby maintaining high adjustment accuracy while reducing dependency on expert availability and simplifying the system from the worker's perspective.
Solution Approach 2:
The management server acts as an intermediary between the electronic apparatus and the worker. It retrieves status information from the apparatus, processes the data against stored target values and adjustment rules, and generates customized work instructions. This intermediary system captures expert knowledge in algorithmic form, enabling non-experts to achieve expert-level adjustment accuracy without complex training requirements.
3Adaptability or versatility
If real-time status monitoring and personalized work instructions are implemented, then the adaptability and adjustment accuracy are improved, but the system complexity and information processing requirements increase
Solution Approach 1:
The management server performs multiple functions within a single system: it stores target setting values, retrieves current apparatus status, compares values to detect deviations, generates customized work instructions, and provides them to workers. This multi-functional approach enables real-time adaptability while consolidating complexity into a centralized system rather than distributing it across multiple components.
Solution Approach 2:
The system pre-stores target setting values and adjustment rules in the management server before production begins. When an electronic apparatus is presented for adjustment, the server quickly retrieves the relevant pre-prepared information and generates instructions based on the current status. This preliminary preparation reduces real-time processing complexity while maintaining high adaptability to different apparatus states.
Data Source
AI summary
A wearable device is worn by a worker who performs adjustment work for an electronic apparatus; and obtains identification information of the electronic apparatus, transmits the obtained identification information to a management server, receives a current setting value of the electronic apparatus from the management server and displays the current setting value to the worker, and receives from the management server work assistance information of the adjustment work corresponding to the obtained identification information and displays the assistance information to the worker. The management server receives the identification information from the wearable device, obtains the current setting value from the electronic apparatus of the identification information and transmits it to the wearable device, and generates the work assistance information that includes a suggestion of a new setting value corresponding to a result of adjustment work and transmits it to the wearable device.