Remote Operation Server for State-Based Environment Data Reduction
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Solution Overview
Problem
Existing remote operation systems for work machines face challenges in reducing data communication load while maintaining sufficient environment information for the operator, leading to difficulties in grasping the machine's environment, especially when the operator has no intention to operate the machine.
Innovation Solution
A remote operation server with a state recognition element and environment information control process element adjusts environment information factors based on the operation state of the remote operation device and work machine, reducing data amounts by classifying factors into high and low categories and adjusting them differently according to specific operation states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the information amount of video is limited or only specific-directional video is output, then the data communication load is reduced, but the operator's ability to grasp the work machine environment deteriorates
Solution Approach 1:
The environment information is segmented into multiple factors (video information, audio information, work machine state information, etc.), and each factor is independently controlled and adjusted according to the operation state, allowing selective reduction of less critical information while maintaining essential information quality
Solution Approach 2:
The information amount of each environment information factor is dynamically adjusted based on the recognized operation state (e.g., idle state, operation state, emergency state), transitioning between different information provision levels to optimize both communication load and information quality
2Loss of energy
If the information amount of environment information is excessively reduced, then the data communication load is reduced, but the operator's ability to appropriately grasp the work machine environment deteriorates
Solution Approach 1:
The system recognizes the operation state through state recognition elements and uses this feedback to continuously adjust the information amount of environment factors, ensuring that information reduction does not exceed the threshold that would impair operational effectiveness
Solution Approach 2:
The information amount of each environment information factor is controlled as an adjustable parameter, with different parameter settings (information amounts) selected based on the operation state to maintain ease of operation while reducing communication load
Data Source
AI summary
According to the remote operation system or a remote operation server 20 included in the remote operation system, when the “environment information control process” is performed, a data amount of environment data is reduced such that the reduction in the information amount of one or a plurality of low environment information factors is greater than the reduction in the information amount of one or a plurality of high environment information factors (meaning the reduction in the information amount of the environment information due to a change in the environment information factor). The environment information control process is performed by classifying the environment information factors into the high environment information factor and the low environment information factor according to a difference in the operation state.