Remote Operation Data Storage by Machine Linkage State
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Solution Overview
Problem
Existing systems for remotely operating work machines face challenges in managing image data storage, leading to an enlarged system configuration due to unnecessary data storage from both operated and unoperated machines, especially when multiple machines are involved.
Innovation Solution
An information system that determines the necessity of storing information based on the linkage state between the operation device and the operation target, selectively storing and transmitting only relevant data, thereby reducing unnecessary storage and communication capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image data from all work machines is stored regardless of operation status, then complete operation history information is available, but system configuration enlarges due to storing unnecessary data from unoperated machines
Solution Approach 1:
The patent extracts and stores only the necessary image data corresponding to operated work machines, separating it from the unnecessary image data of unoperated machines. The storage unit stores image data selectively based on operation status, extracting only relevant data for remote operation to reduce storage requirements while maintaining operational history completeness.
Solution Approach 2:
The patent applies local quality by differentiating storage requirements based on the operation status of each work machine. Image data from operated machines is stored with high priority and detail, while image data from unoperated machines is excluded or stored with lower priority, creating different storage qualities for different operational contexts.
2Loss of information
If image data from multiple work machines is stored simultaneously, then comprehensive operation records are maintained, but storage capacity requirements increase due to data from unoperated machines
Solution Approach 1:
The storage unit extracts and stores only the image data corresponding to operated work machines from the multiple available machines. By extracting only the relevant data subset, the system maintains comprehensive operation records for all operated machines while excluding unnecessary data from unoperated machines, thereby reducing total storage capacity requirements.
Solution Approach 2:
The patent applies partial action by storing only a portion of the available image data - specifically, only the data corresponding to operated machines - rather than storing all data from all machines. This partial storage approach is sufficient to maintain complete operation records while significantly reducing storage capacity consumption.
3Device complexity
If processing is performed to identify operated versus unoperated machines, then unnecessary data storage is reduced, but additional processing requirements increase system complexity
Solution Approach 1:
The control unit receives feedback information about the operation status of each work machine and uses this feedback to control the storage unit accordingly. The system continuously monitors whether machines are operated or unoperated and adjusts storage actions based on this real-time feedback, enabling automatic differentiation without complex manual processing.
Solution Approach 2:
The system performs self-service by automatically identifying and storing only the necessary image data through the control unit's automatic control based on operation status. The storage unit autonomously determines what data to store without requiring external intervention or complex processing algorithms, reducing both system complexity and processing energy requirements.
Data Source
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AI summary
An information system determines, according to a linkage state between an operation device and an operation target of the operation device, whether or not storage of information acquired by at least one of the operation device and the operation target as designated devices is necessary.