Large-scale prediction method of inland waterway ships under restricted conditions

A technology of limiting conditions and forecasting methods, applied in the field of ships, can solve problems such as the inability to reflect the relationship between changes in ship tonnage and traffic capacity, the inability to continue to increase the traffic capacity of ship locks, and the reduction of traffic capacity

Inactive Publication Date: 2011-12-28
HOHAI UNIV
View PDF2 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Taking the ship lock as an example, its passing capacity is affected by the tonnage of the ship and the loading coefficient. In the short term, the actual passing capacity of the ship lock will increase with the increase of the size of the ship. However, the level of the ship lock is certain. When the large ship reaches a certain proportion When , the traffic capacity of the ship lock cannot continue to increase, and if it continues to increase in size, the traffic capacity will decrease
[0005] For a long time, the research on inland water transport capacity has been based on the macro cargo volume as an indicator to calculate the passage capacity of waterways and navigable structures. The forecast of cargo volume can reflect the macro trend, but it cannot reflect the relationship between the change of ship tonnage and the traffic capacity.

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
  • Large-scale prediction method of inland waterway ships under restricted conditions
  • Large-scale prediction method of inland waterway ships under restricted conditions
  • Large-scale prediction method of inland waterway ships under restricted conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0056] Example—Calculation and verification based on the average tonnage of the Jianbi ship lock of the Beijing-Hangzhou Canal over the years:

[0057] Such as figure 1 Shown, the present invention comprises the steps:

[0058] The first step is to determine the constraints and influencing factors.

[0059] The concept of restrictive conditions: The factors that directly restrict the development of inland ship types are called restrictive conditions, usually hardware conditions. include:

[0060] ① Conditions of the channel itself: channel grade, water depth, width, bending radius, etc. Determines the draft, width, and length of ships and fleets, and the bending radius mainly affects the length and maneuverability of the fleet. Generally speaking, it is not less than 3 to 4 times the length of the largest fleet.

[0061] ②Grade of navigable st...

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 discloses an inland waterway ship large-scale prediction method in restricted conditions. The method comprises the following steps: (1) determining restricted conditions and influence factors; (2) selecting a prediction model; (3) carrying out sample selection and a pretreatment; (4) selecting a restriction condition; (5) selecting a vector machine type and parameter; (6) establishing a model and determining an evaluation index; (7) carrying out prediction analysis. According to the invention, through selecting a support vector machine model, determining lockage average tonnage in former years as the influence factor, and selecting a waterway grade as the restricted condition, ship large-scale prediction is carried out. The average tonnage in former years is selected as the influence factor, and a predicted value has viscosity on an aspect of data and shows a slow increase phase, a rapid increase phase, a stable increase phase and a stable phase. The predicted value provides a reference and a basis at an aspect of time for ship manufacturing industry and traffic infrastructure construction departments.

Description

technical field [0001] The invention relates to a large-scale prediction method for inland waterway ships under restricted conditions, and belongs to the technical field of ships. Background technique [0002] With the globalization and integration of the world economy, the cargo volume is growing strongly and the trend of large-scale ocean-going ships is obvious. Correspondingly, the ship capacity structure of my country's inland waterways has changed significantly year by year. Taking Xijiang Wuzhou Hub as an example, in 2003, the average load of cargo ships was 250 tons, and there were 9 ships with a load of more than 1,000 tons. The above 82 ships, the newly added ships are mainly above 1,000 tons, the average tonnage of ships maintains an annual growth rate of 8.1%, and the capacity increases and shows a trend of large-scale. [0003] The large-scale ship is an important means to improve transportation efficiency and reduce unit transportation cost, and it is a phased p...

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 Applications(China)
IPC IPC(8): G06K9/62
Inventor 张玮李俊星夏莉敏杨氾阮桯
Owner HOHAI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products