Ship Motion Prediction for Remote Maneuvering Under Communication Lag
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Solution Overview
Problem
Remote ship maneuvering is hindered by communication time lags, particularly in areas with low communication capacity, leading to delays in detecting and responding to ship states, which can disrupt stable operation.
Innovation Solution
A ship monitoring system comprising a shipboard information processing apparatus and a support information processing apparatus, which includes a communication unit, a time lag identification unit, and a state prediction unit. The system acquires ship motion information, identifies transmission and reception time lags, and uses a ship motion model to predict the ship's future state, reducing the impact of time lags by displaying the predicted state for real-time maneuvering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If remote ship maneuvering is implemented using shore-ship communication, then sailor shortage can be alleviated and ship operation can be centralized, but communication time lag occurs especially in low communication capacity areas, making remote maneuvering difficult
Solution Approach 1:
The system performs preliminary actions by predicting the ship's future motion state based on the ship motion model before the actual state is received. The prediction is made in advance to compensate for the communication time lag, allowing the support information processing apparatus to display anticipated ship position and status rather than delayed historical data.
Solution Approach 2:
The ship motion model acts as an intermediary between the received ship motion information and the displayed ship state. Instead of directly displaying the received data which is delayed by communication lag, the system uses the motion model to generate predicted state information that bridges the time gap between transmission and reception.
2Measurement precision
If ship motion information is transmitted continuously to maintain real-time monitoring, then accurate ship state can be obtained, but communication bandwidth consumption increases in low communication capacity areas
Solution Approach 1:
Instead of transmitting raw ship motion data continuously, the system creates a predictive copy of the ship's future state using the ship motion model. This predicted state information is generated locally at the support information processing apparatus, reducing the need for continuous high-volume data transmission while maintaining monitoring accuracy.
Solution Approach 2:
The system transforms the approach from transmitting multiple raw motion parameters continuously to transmitting occasional actual motion information and generating predicted state parameters through the motion model. This parameter transformation reduces communication data volume while preserving essential ship state information.
Data Source
AI summary
A ship monitoring system includes: a shipboard information processing apparatus and including a shipboard communication unit and an information acquisition unit; and a support information processing apparatus and including: a support side communication unit capable of communicating with the shipboard communication unit; a time lag identification unit; and a state prediction unit. The time lag identification unit identifies a time from transmission of the ship motion information from the shipboard communication unit to reception of the ship motion information by the support side communication unit as a reception time lag. The state prediction unit inputs the ship motion information and the reception time lag to a ship motion model related to the ship motion of the ship to predict a motion state of the ship ahead of a motion state of the ship indicated by the ship motion information by a period of time based on the reception time lag.