Ship Voyage Fuel Consumption Analysis Device
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Solution Overview
Problem
Current technologies fail to accurately identify the factors causing disparities between projected and actual fuel consumption in ship voyages, which are influenced by various factors such as mooring times, weather, and marine conditions, leading to inefficiencies and increased costs.
Innovation Solution
A device and method that acquire and analyze data on projected and actual travel times, mooring times, and fuel consumption, generating time and fuel consumption difference data to help users like ship operation managers understand the factors affecting fuel usage, including speed and weather conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the ship increases speed to compensate for delays at relay ports, then the travel time between ports is reduced, but the fuel consumption increases
Solution Approach 1:
The patent divides the voyage into multiple segments (travel between ports and mooring at relay ports) and analyzes each segment separately. By segmenting the voyage data into travel time, mooring time, and fuel consumption for each port, the system can identify which specific segment causes delays and determines the optimal speed adjustment strategy for subsequent segments, rather than uniformly increasing speed throughout the entire voyage.
Solution Approach 2:
The patent calculates projected fuel consumption and travel time before the voyage begins, establishing a baseline plan. By comparing actual performance against these pre-calculated projections during the voyage, the system can identify deviations early and adjust speed in subsequent segments to compensate for delays while minimizing additional fuel consumption.
2Loss of time
If the ship increases speed to make up for delayed departure, then the arrival time at destination is improved, but the fuel consumption increases
Solution Approach 1:
The patent dynamically adjusts the ship's speed based on actual voyage conditions rather than maintaining a fixed schedule. By continuously monitoring actual travel time and fuel consumption against projected values, and considering weather and marine conditions, the system optimizes speed in real-time to minimize the impact of relay port delays on overall voyage time and fuel consumption.
Solution Approach 2:
The patent implements a feedback mechanism where actual voyage data (travel time, fuel consumption, weather conditions) is continuously compared against projected values. This feedback loop enables the system to identify the causes of disparities between planned and actual performance and adjust subsequent voyage segments to compensate for delays while optimizing fuel consumption.
3Adaptability or versatility
If the ship operates under varying weather and marine conditions, then the voyage flexibility is improved, but the fuel consumption becomes unpredictable
Solution Approach 1:
The patent incorporates weather and marine conditions as variable parameters in the fuel consumption calculation. By adjusting the projected fuel consumption based on actual weather and marine conditions encountered during the voyage, the system maintains accurate predictions despite varying environmental factors, allowing flexible operation while preserving measurement precision.
Data Source
AI summary
An acquisition unit acquires weather and marine data indicating a ship voyage schedule that serves as a reference, actual performance data, fuel consumption data, and weather and marine conditions the ship has encountered during a voyage. A time difference data generation unit calculates the difference between the time indicated by the reference data and the time indicated by the actual performance data for each of the journeys between ports. Projected fuel consumption calculation unit calculates projected fuel consumption for each of the journeys between ports based on the reference data, weather and marine data and fuel consumption data. Fuel consumption difference data generation unit calculates the difference between the projected fuel consumption and the actual fuel consumption amount indicated by the actual performance data for each of the journeys between ports.


