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Intelligent searching method and system for Chinese coastal dry bulk cargo ships

An intelligent search and dry bulk cargo technology, applied in digital data information retrieval, instruments, data processing applications, etc., can solve problems such as low shipping efficiency, matching, and inability to complete shipments in time, so as to improve operational efficiency, reduce costs, The effect of reducing carbon emissions

Active Publication Date: 2022-02-01
COSCO SHIPPING TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an intelligent search method and system for China's coastal dry bulk ships to solve the problem that the current shipping efficiency is low and the ship and cargo cannot be matched in time

Method used

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  • Intelligent searching method and system for Chinese coastal dry bulk cargo ships
  • Intelligent searching method and system for Chinese coastal dry bulk cargo ships
  • Intelligent searching method and system for Chinese coastal dry bulk cargo ships

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Embodiment Construction

[0045] Such as figure 1 The shown Chinese coastal dry bulk ship intelligent search method and system include the following steps:

[0046] S1: Real-time collection of GIS data in the monitoring area, AIS data of ships and port archive data, and real-time processing of big data according to the GIS data, AIS data and port archive data to obtain dynamic information of the ship's full life cycle;

[0047] S2: Divide coastal ports into several port groups, and determine the port group where the ship is located according to AIS data and GIS data;

[0048] S3: Calculate the sailing time between port groups and the average port operating time of different types of ships according to the big data algorithm;

[0049] S4: Determine whether the ship needs to transport return cargo based on big data, and then determine the ships that have been loaded according to the port group where the ship is located, the dynamic information of the ship's entire life cycle, and whether the ship needs ...

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Abstract

The invention discloses an intelligent searching method and system for Chinese coastal dry bulk ships, and the method and system can achieve pre-searching of the ships meeting the requirements and the pre-searching time of the ships through full utilization of the AIS, GIS, ship archive data, port archive data and berth archive data of the ships in combination with the data of ship behavior prediction and the like, so that service related parties such as cargo owners, cargo suppliers and ship owners are helped to quickly find adaptive ships and quickly complete ship-cargo matching according to simple freight demand information, the overall operation efficiency of shipping is improved, and the cost and carbon emission are reduced.

Description

technical field [0001] The invention relates to an intelligent search method and system for Chinese coastal dry bulk ships. Background technique [0002] In recent years, the annual growth rate of China's coastal bulk bulk cargo shipments has been between 5% and 10%. The annual ocean freight is 33 billion yuan, and the cargo shipment volume has reached about 1.2 billion tons. However, coastal bulk cargo transportation has long been characterized by small scale, scattered capacity, weak service and poor guarantee. According to incomplete statistics, there are nearly 3,000 small and medium-sized shipping companies in the country, and they operate about 20,000 voyages every year. However, problems such as low resource sharing rate in the industry and low operating efficiency have existed for a long time, which not only brought operational pressure to all business parties, but also caused a certain degree of waste and a lot of unnecessary carbon emissions. At present, the indu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q10/08G06F16/9537
CPCG06Q10/04G06Q10/06315G06Q10/083G06F16/9537
Inventor 陆旭昇应有正王敏刘毅
Owner COSCO SHIPPING TECH CO LTD