Remote Mobile Operation Using Predicted Link Quality and Speed Control
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Solution Overview
Problem
In automated driving systems, as the travel speed of a mobile device increases, remote operators may struggle to perform operations in time and overlook obstacles, posing safety risks.
Innovation Solution
A mobile device equipped with a communication quality prediction unit that predicts communication quality, an operation mode control unit that selects appropriate operation modes based on the predicted value, and a speed control unit that adjusts travel speed to meet required communication quality, ensuring safe operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the travel speed of the mobile device is increased, then productivity is improved, but safety deteriorates because remote operators cannot perform operations in time and may overlook obstacles
Solution Approach 1:
The system dynamically changes the travel speed parameter based on communication quality predictions. When communication quality is poor, the system automatically reduces travel speed to ensure the remote operator can respond in time, while maintaining higher speeds when communication quality is good, thus resolving the contradiction between productivity and safety
Solution Approach 2:
The system implements a feedback mechanism where communication quality is continuously predicted and used to adjust travel speed. The predicted communication quality feeds back to the speed control unit, which modifies the travel speed accordingly, creating a closed-loop control system that adapts to changing conditions to maintain both productivity and safety
2Productivity
If the travel speed is increased, then productivity is improved, but the remote operator's ability to respond in time deteriorates
Solution Approach 1:
The system adjusts the travel speed parameter dynamically based on predicted communication quality. By lowering the speed parameter when communication delays are anticipated, the system ensures the remote operator has sufficient response time while maximizing productivity when communication conditions allow
3Device complexity
If communication quality is not monitored and adjusted, then device complexity is reduced, but safety deteriorates due to inability to handle varying communication conditions
Solution Approach 1:
The system performs preliminary action by predicting communication quality in advance before actual communication issues arise. This proactive approach allows the system to pre-adjust travel speed to prevent safety issues, rather than reacting after problems occur, thereby improving safety without requiring overly complex real-time intervention mechanisms
Data Source
AI summary
The safety of a mobile device that is operated remotely is improved. The mobile device includes a communication unit, a communication quality prediction unit, an operation mode control unit, and a speed control unit. The communication unit transmits and receives data to and from a controller through a predetermined communication path. The communication quality prediction unit predicts a communication quality of the communication path and obtains a predicted value. The operation mode control unit selects, on the basis of the predicted value, one of a plurality of operation modes, each defining an operation method for a remote operator of the controller. The speed control unit controls a travel speed on the basis of the predicted value when a specific operation mode is selected from among the plurality of operation modes.