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A Track Monitoring Method for Moving Objects

A technology for moving objects and trajectories, which is applied in the directions of program startup/switching, inter-program communication, multi-program device, etc., to achieve the effect of improving computing performance, satisfying the distribution of computing load tasks, and realizing high-performance computing

Active Publication Date: 2017-07-07
INST OF SOFTWARE - CHINESE ACAD OF SCI
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Problems solved by technology

Through this method, high-performance monitoring of various types of moving object trajectories under the background of big data applications can be realized

Method used

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  • A Track Monitoring Method for Moving Objects
  • A Track Monitoring Method for Moving Objects
  • A Track Monitoring Method for Moving Objects

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Embodiment Construction

[0044] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail in conjunction with the accompanying drawings.

[0045] Mobile objects cover many fields such as vehicle transportation, aerospace, environmental protection, etc.; with the technological progress and application deepening of Internet of Things technology, GPS technology and advanced sensor technology. One of the cores of moving object trajectory monitoring is to perform trajectory comparison, classification, clustering and other processing among moving objects, so as to extract the behavior patterns of objects under specific constraints; New technical requirements are put forward for the organizational form and performance of processing logic. Based on the framework of parallel computing, the present invention establishes a computing framework and method for incremental process analysis of massive moving ob...

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Abstract

The invention discloses a moving object trajectory monitoring method. A parallel architecture computation system is adopted and divided into a task management layer and a cooperative computing layer, the task management layer comprises a plurality of task management nodes, and the cooperative computing layer comprises a plurality of computation nodes. The method includes the steps: (1) collecting moving object trajectories and acquiring moving object trajectory data sets; (2) submitting the moving object trajectory data sets and a computation request; (3) performing initial classification on the moving object trajectory data sets to obtain initial classification sample sets, and allocating computation task data sets; (4) subjecting the moving object trajectory data sets to clustering analysis; (5) summarizing information of all the classification sample set and information of cluster subsets to obtain a clustering result trajectory; (6) according to the clustering result trajectory, performing spatial distribution monitoring or behavior model monitoring on moving objects. The method is applicable to requirements for monitoring massive moving object trajectories in the big data application environment, and integral computation performance can be improved by 30%.

Description

technical field [0001] The invention relates to the field of big data analysis research and application of moving objects, in particular to a method for monitoring the trajectory of moving objects. Background technique [0002] Mobile Object Management covers transportation, aviation / aerospace / navigation, security monitoring, ecological environmental protection, logistics, disaster prevention and control, and other fields. It is an important frontier application field of information technology in the Internet of Things era. It is mainly reflected in the monitoring of the trajectory of moving objects. In general, moving objects can be divided into three categories according to their behavior patterns: [0003] 1. Restricted moving objects: The behavior of restricted moving objects is constrained by external conditions, and generally has a certain regularity. Individuals move in a relatively fixed mode. Regardless of the macro level or the micro level, the behavior mode of t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/48G06F9/54
Inventor 郭皓明丁治明张天为徐怀野郭黎敏
Owner INST OF SOFTWARE - CHINESE ACAD OF SCI
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