Automatic Behavior division method and system based on ship trajectory, and electronic equipment

A technology for automatic division of ship trajectories, applied in instruments, geographic information databases, complex mathematical operations, etc., can solve problems such as inability to adapt to the needs of navigation scenarios, manual adjustment of model parameters, and inability to distinguish individual behaviors of ships, so as to achieve automatic behavior Pattern recognition and partitioning, avoiding the effects of parameter setting and tuning

Active Publication Date: 2021-09-24
WUHAN UNIV OF TECH
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Problems solved by technology

However, these methods often only focus on one of the ship's motion parameters and trajectory space structure, and cannot retain the complete information of the ship's motion process, and need to manually adjust the model parameters
In addition, the traditional method focuses on the behavior division of a single ship trajectory, and cannot distinguish the common behavior patterns of multiple ships on the same customary route and the unique personalized behavior of some ships, and cannot adapt to the needs of complex and changeable navigation scenarios.

Method used

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  • Automatic Behavior division method and system based on ship trajectory, and electronic equipment
  • Automatic Behavior division method and system based on ship trajectory, and electronic equipment
  • Automatic Behavior division method and system based on ship trajectory, and electronic equipment

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Embodiment Construction

[0025] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0026] In the field of machine learning, Hidden Markov Model (HMM), as a classic probability model describing the statistical characteristics of random processes, has been widely used in pattern recognition problems. By abstracting the problem into a series of hidden states and converting them into observation sequences, HMM can find the state sequence with the highest probability under the condition of known observation sequences, thereby learning the process of state transition. Conversely, model parameters can also be estimated through observed variables a...

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Abstract

The invention discloses an automatic behavior division method and system based on ship trajectories and electronic equipment, and the method comprises the steps of carrying out the preprocessing of multi-ship trajectory data, designing a division cost function, carrying out the common behavior pattern discovery of multiple ships in the same channel at a time level and an individual level, further carrying out the division of the trajectories, meanwhile, dynamically determining an optimal behavior pattern number and a division scheme, and generating a division result. According to the ship automatic behavior division method based on the multi-ship trajectory, complete motion information (including longitude and latitude, speed to the ground, course to the ground and the like) of the ship can be reserved, expansion can be achieved along with increase of the number of the ships and time-space characteristics, meanwhile, manual parameter setting and adjustment are avoided, and the automatic behavior pattern recognition and division of the ship trajectory are realized.

Description

technical field [0001] The invention belongs to the field of computer big data processing, and relates to a ship behavior automatic division method, system and electronic equipment, in particular to a ship track-based automatic behavior division method, system and electronic equipment. Background technique [0002] During the voyage of the ship, the sensors carried on the ship will record the ship's trajectory data, and a lot of valuable information can be mined from these data, which can be applied to shipping management, ship collision avoidance and other fields. However, due to factors such as complex and changeable navigation environment and equipment failure, ship trajectories often have problems such as low sampling rate, many noise points, uneven particle size, and irregular changes, which bring difficulties to the processing and analysis of navigation trajectories. Therefore, it is necessary to identify the different behavior patterns existing in the ship's trajector...

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Application Information

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IPC IPC(8): G06F16/29G06F17/16G06K9/62
CPCG06F16/29G06F17/16G06F18/213
Inventor 张蕊殷振钟刘克中辛旭日
Owner WUHAN UNIV OF TECH
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