Transit network data processing method based on big data and server cluster

A server cluster and data processing technology, which is applied in electrical digital data processing, data processing applications, special data processing applications, etc. It can solve the problems of weak scalability and complex data warehouse platform construction, improve processing performance, and meet the convenience of expansion. performance, ease of initial deployment and subsequent maintenance

Inactive Publication Date: 2017-09-05
QINGDAO HISENSE TRANS TECH
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Problems solved by technology

[0003] The embodiment of the present invention provides a traffic network data processing method and server cluster based on big d

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  • Transit network data processing method based on big data and server cluster
  • Transit network data processing method based on big data and server cluster
  • Transit network data processing method based on big data and server cluster

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Embodiment Construction

[0053] In order to make the object, technical solution and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0054] The technical solution in the embodiment of the present invention can be applied to the network command center, and the system architecture of the network command center is constructed through the traffic network data processing method based on big data, which mainly includes: source data layer, data collection layer, and data platform layer , service tool layer, application layer, and hardware implementation can be achieved by building server clusters. Specifically, the source data layer is the data source that the line network command center relies on, mainly including business s...

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Abstract

The embodiment of the invention provides a transit network data processing method based on big data and a server cluster. The server cluster acquires service data of track lines in a rail transit network from a data acquisition layer, then processes and stores the acquired service data and finally controls the traffic operation state of the track lines in the rail transit network according to the processed service data. According to the method, a big data platform is deployed by building the server cluster and replaces an existing data warehouse platform to conduct data processing and storage for a network (emergency) command center; as the server cluster is more universal and more convenient to build and maintain, first-time deployment and later-stage maintenance of a system are convenient. Besides, linear horizontal expansion of the storage capacity of the server cluster can be achieved, the processing performance can be improved at the same time, it is only needed to add machines into the cluster, halt is not needed in the expansion process, and the demand for capacity expansion convenience is effectively met.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of rail transit network centers, and in particular to a method for processing traffic network data based on big data and a server cluster. Background technique [0002] With the continuous construction and development of urban rail transit at home and abroad, the planning of urban rail transit lines is increasing rapidly, the demand for efficiency improvement of existing and under construction lines is increasing, and the demand for construction of line network (emergency) command centers is increasing. The amount of data in the network (emergency) command center is also increasing. The existing line network (emergency) command center generally adopts the data warehouse platform plus supporting management software to realize the functions of data storage and processing, but the existing data warehouse platform is generally set up on special equipment, the environment is complex to build...

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Application Information

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IPC IPC(8): G06F17/30G06Q50/30
CPCG06F16/283G06F16/25G06Q50/30
Inventor 张雪庆万思军王朋曹瑞兴刘见朱元林
Owner QINGDAO HISENSE TRANS TECH
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