Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Classification Method of Ship Navigation Conditions Based on Cluster Analysis

A technology of cluster analysis and working conditions, applied in the direction of instrumentation, design optimization/simulation, calculation, etc., can solve problems such as errors and omissions

Active Publication Date: 2021-09-14
CSSC SYST ENG RES INST
View PDF5 Cites 0 Cited by
  • 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Classification Method of Ship Navigation Conditions Based on Cluster Analysis
  • A Classification Method of Ship Navigation Conditions Based on Cluster Analysis
  • A Classification Method of Ship Navigation Conditions Based on Cluster Analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

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

[0052] Step 1. Obtain the data of factors affecting the fuel consumption of the main engine diesel engine.

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

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

[0055] Step 2: Organize the collected data.

[0056] Specifically, the collected data should be cleaned first.

[0057] Since there are singular values ​​in the collected data due to sensor anomalies, ship maneuvering, etc., these data are not generated...

Embodiment 2

[0075] This embodiment describes in detail the method for classifying the ship's navigation conditions described in the first embodiment.

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

[0077] Preferably, the amount of data includes average draft 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 cleanliness of the ship's bottom, the dragging of the ship, and the narrow channel or shallow water navigation can be ignored. However, the draft of the ship will affect the navigation resistance of the ship, changing the process and main engine load, etc.

[0079] When the ship is operating normally on the route, the external wind and wave weather will change the slip loss 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 an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of classification of ship navigation conditions, in particular to a method for classifying ship navigation conditions based on cluster analysis. The method includes the following steps: acquiring data; removing singular data values; clustering the processed data; optimizing the number of clusters; completing cluster analysis to obtain clustering results. Using the above method, it can solve the problem that the prior art divides the ship's navigation conditions in the shipbuilding industry. Provide a reference for host fuel 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 classifying ship navigation conditions based on cluster analysis. Background technique [0002] As a means of transportation with a large volume of transportation, ships account for 40-60% of their operating costs to fuel consumption. Among them, the most common ship main engine diesel engine, as the "heart" of the ship's power, usually accounts for 40% of the fuel consumption of the entire ship. More than 90% of fuel consumption; taking an ocean-going 10,000-ton ship as an example, its low-speed diesel engine consumes more than 20-30 tons of fuel per day of voyage, and its operating cost accounts for a large proportion of the ship's operating cost. 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. Exces...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06K9/62
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com