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Ship navigation work condition dividing method based on clustering analysis

A cluster analysis, ship technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems prone to errors, omissions, etc.

Active Publication Date: 2018-05-18
CSSC SYST ENG RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In view of the above analysis, the present invention aims to provide a method for classifying ship navigation conditions based on cluster analysis to solve the problem that most of the prior art is divided by manual experience, which is prone to errors and omissions

Method used

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  • Ship navigation work condition dividing method based on clustering analysis
  • Ship navigation work condition dividing method based on clustering analysis
  • Ship navigation work condition dividing method based on clustering analysis

Examples

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Embodiment 1

[0051] A specific embodiment of the present invention discloses a method for dividing ship navigation conditions based on cluster analysis. Specifically include the following steps:

[0052] Step 1: Obtain data on factors that affect the fuel consumption of the main engine diesel engine.

[0053] Specifically, data on influencing factors is collected.

[0054] When the main engine diesel engine and its auxiliary equipment, hull, and propellers are in good condition, the main factors affecting the fuel consumption of the main engine diesel engine are: ship draught (load), ship fouling, meteorological conditions (wind and wave conditions), ship drag, narrow channel Or sailing in shallow water, etc.

[0055] Step 2: Organize the collected data.

[0056] Specifically, first clean the collected data.

[0057] Since there are singular values ​​in the collected data due to sensor abnormalities, ship manipulation, etc., these data are not generated by the differences in operating conditions, a...

Embodiment 2

[0075] In this embodiment, the method for dividing the sailing conditions of a ship described in the first embodiment is described in detail.

[0076] Step 1. Obtain data on factors that affect the fuel consumption of the main engine diesel engine.

[0077] Preferably, the data volume includes average draught and relative wind speed.

[0078] Specifically, when a large ship is sailing in the ocean and is in a stable state, the changes in the clean state of the bottom of the ship, the towing of the ship, and the narrow channel or shallow water navigation can be ignored. However, the ship's draught will affect the ship's navigation resistance, change the process and main engine load, etc.

[0079] When the ship is operating normally on the route, the external wind and weather will change the slip rate of the propeller, which will have a certain impact on the normal navigation of the ship. The parameters of the ship's draft and wind conditions (wind direction and wind speed, relative wi...

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Abstract

The invention relates to the technical field of ship navigation work condition dividing, and particularly relates to a ship navigation work condition dividing method based on clustering analysis. Themethod includes the following steps: acquiring data; removing singular data values; clustering processed data; optimizing a clustering number; and completing clustering analysis to obtain clustering results. By utilizing the above-mentioned method, problems that on the aspect of dividing ship navigation work conditions in the prior art of the ship industry field, the vast majority of methods adopthuman-experience dividing methods, and states of errors and omissions are liable to be generated can be solved, effective dividing of the ship navigation work conditions is realized, and a referenceis provided for main-engine fuel-oil consumption modeling.

Description

Technical field [0001] The invention relates to the technical field of classification of ship navigation conditions, in particular to a method for classification of ship navigation conditions based on cluster analysis. Background technique [0002] As a means of transportation with a large volume of transportation, 40-60% of its operating cost is fuel consumption. Among them, the most common main engine diesel engine, as the power "heart" of the ship, usually accounts for the fuel consumption of the entire ship. More than 90% of the fuel consumption; take an ocean-going 10,000-ton vessel as an example, its low-speed diesel fuel consumption per day reaches more than 20-30 tons, and its operating costs account for a large proportion of the ship’s operating costs. How to reduce costs and increase efficiency has become the focus of attention of shipping companies. At the same time, fuel consumption is closely related to pollutant emissions. Excessive fuel consumption will inevitably ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06K9/62
CPCG06F30/20G06F18/23213G06F18/214
Inventor 何晓谭笑魏慕恒邱伯华任海英蒋云鹏
Owner CSSC SYST ENG RES INST
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