Ship monitoring method and system and a port operation prediction method and system

A ship and port technology, applied in the field of ship monitoring, port operation forecasting methods and systems, can solve the problems of difficult measurement of data quality, data lag, etc., achieve objective monitoring results, good timeliness performance, and save investment costs

Inactive Publication Date: 2019-06-21
北京天合睿创科技有限公司
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Problems solved by technology

[0004] In order to solve the above problems in the prior art, that is, in order to solve the defects of the data provided by the AIS ship automatic identification method in the port operation evaluation, such as data lag and data quality are not easy to measure, ship monitoring methods and systems and port operation prediction methods and systems

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  • Ship monitoring method and system and a port operation prediction method and system
  • Ship monitoring method and system and a port operation prediction method and system
  • Ship monitoring method and system and a port operation prediction method and system

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[0042] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0043] Embodiment 1 of the present invention provides a ship monitoring method, such as figure 1 , the method includes:

[0044] S1. Obtain remote sensing images of the monitoring area, and select samples to form a data set;

[0045] S2. Establish a multi-object category recognition model based on the Faster R-CNN neural network algorithm, train and detect the target recognition algorithm through the data set, and evaluate the test accuracy of the target recognition algorithm after training, so as to establish a ship classification recognition model;

[0046] S3. After the remote sensing image is preprocessed, the ship is identified through ...

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Abstract

The invention relates to the technical field of image processing, in particular to a ship monitoring method and system and a port operation prediction method and system. A multi-object class recognition model is constructed based on Fa aster R-CNN neural network algorithm. A CNN neural network algorithm establishes a multi-object classification recognition model, the target recognition algorithm is trained and detected through a data set, the detection precision of the trained target recognition algorithm is evaluated, and a ship classification recognition model is established. The remote sensing image is pre-processed and ship identification is performed through a ship classification identification model. According to the method, the spatial visualization effect more conforming to realityis achieved, the data source is real and traceable and is not limited by different working states of equipment of the ship and different port statistical modes, and the monitoring result is more objective. The method has better timeliness performance, can carry out daily statistics on ship entering and exiting conditions of the port in real time, and is convenient for predicting and evaluating the seasonal operation condition of the port.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a ship monitoring method and system and a port operation prediction method and system. Background technique [0002] The more extensive method adopted in modern ship information statistical management is to use the automatic identification system (AIS system for short) for statistical management. The automatic identification system (AIS) consists of shore-based (base station) facilities and ship-borne equipment. Composed together, it is a new type of digital navigation aid system and equipment integrating network technology, modern communication technology, computer technology and electronic information display technology. The Automatic Ship Identification System (AIS) is developed from the IFF of ships and aircrafts. It cooperates with the Global Positioning System (GPS) to combine the ship's position, ship speed, course change rate and course dynamics with the ship's n...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
Inventor 项波李鹏展汪大宇李锋陈洋张强王晋渊王鸿
Owner 北京天合睿创科技有限公司
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