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based on ldm 3 Implementation method of building its big data cloud processing center in the province

An implementation method and cloud processing technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of large data volume, uneven load, complex data level, etc., to meet the system load balancing design requirements, The effect of reducing the terminal computing load and reducing the computing load

Active Publication Date: 2016-10-12
NANJING UNIV
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Problems solved by technology

[0010] The present invention aims at the current situation of traditional intelligent transportation data sources such as numerous, heterogeneous, large data volumes, and unequal user needs, in order to solve problems such as complex data levels, uneven load, complex system structure, etc., and provides a new cloud processing center construction Implementation

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  • based on ldm <sup>3</sup> Implementation method of building its big data cloud processing center in the province
  • based on ldm <sup>3</sup> Implementation method of building its big data cloud processing center in the province
  • based on ldm <sup>3</sup> Implementation method of building its big data cloud processing center in the province

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Embodiment Construction

[0029] The invention solves the practical problems in ITS such as heterogeneous data sources, large data volume, low data value density, passive information service, etc., and provides a cloud platform-based data collection, processing and information service provincial road network traffic big data processing solution. LDM 3 It is the top-level design frame structure of provincial intelligent transportation proposed by the present invention by referring to foreign ITS architectures such as NTCIP and SAFESPOT, and constructs a layered ITS big data cloud center for provincial intelligent transportation data collection, aggregation, storage, calculation and service. structured as figure 1 As shown, LDM 3 It is a logical framework proposed for the general lack of top-level design in the current traffic system. L refers to the area (Local), D refers to the dynamic (Dynamic), and M 3 Respectively refer to map (Map), multimedia (Multimedia) and management (Management); the traffi...

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Abstract

The invention discloses a construction realization method of a provincial ITS (Intelligent Transportation System) big data cloud processing center based on an LDM3 (Logical Data Model <3>). The method realizes hierarchic data acquisition, processing and information serving based on an LDM3 transportation system frame; the provincial ITS big data cloud processing center comprises external field equipment, a transportation data cloud processing center and service interfaces; and the transportation data cloud processing center is provided with hierarchic databases and application servers. According to the method, a big data cloud processing realization method of provincial intelligent transportation data acquisition, transmission, storage, processing and serving is provided; a three-dimensional information network framework LDM3 comprising information convergence layers and application layers which are located in parallel on a logic top layer is constructed; applications in the application layers achieve information exchange and resource sharing by utilizing the three-dimensional information network framework LDM3; and a patching interactive mode arranging a large amount of middleware is discarded.

Description

technical field [0001] The invention belongs to the field of intelligent transportation information technology, and provides layered data source collection and storage, data refinement and aggregation processing, information push and other data processing procedures for massive traffic data in the provincial traffic operation process, specifically a LDM-based 3 The construction and implementation method of provincial ITS big data cloud processing center. Background technique [0002] It is generally believed that the characteristics of big data lie in "4V, Volume, Velocity, Variety, Veracity", that is, large data volume, fast speed change, diversity, and low value density, especially the big data of intelligent transportation system ITS. Taking the Jiangsu road network as an example, the total mileage of expressways in the province is about 5,000km. The water network in the province is densely covered, the Yangtze River crosses, and there are many dense fogs in spring and au...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08G06F17/30
Inventor 陈湘军阮雅端陈飞玲杨越盛希冬陈启美
Owner NANJING UNIV
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