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Subway high-speed data network routing analysis method based on double routing protection and tendency aggregation degree graph calculation

An analysis method and technology of aggregation degree, applied in the field of rail transit, can solve problems such as performance degradation, and achieve the effect of improving efficiency, improving analysis efficiency, and improving analysis ability

Pending Publication Date: 2020-11-17
上海伽易信息技术有限公司
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  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of performance degradation that occurs when querying traditional relational databases with a large number of connections, and to improve the end-to-end routing analysis capabilities of subway high-speed data networks

Method used

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  • Subway high-speed data network routing analysis method based on double routing protection and tendency aggregation degree graph calculation
  • Subway high-speed data network routing analysis method based on double routing protection and tendency aggregation degree graph calculation
  • Subway high-speed data network routing analysis method based on double routing protection and tendency aggregation degree graph calculation

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Embodiment 1

[0046] A route analysis method for subway high-speed data network based on dual-route protection and tendency aggregation graph calculation, including:

[0047] Step 1: Use the graph database neo4j to store the node (Nodes) data and relationship (Relationships) data of all business logic sites, datacom transmission sites, and light-communication transmission sites of the subway high-speed data network.

[0048] Wherein, the node data and the relationship data described in step 1 include properties (Properties) in the form of key / value, and the node data are connected through the relationship defined by the relationship data to form a relational network structure. see Figure 4 Graph data structure.

[0049] There are four types of nodes in the subway high-speed data network, and the attributes of each type of nodes are as follows:

[0050] 1) Service node (CCTV), node attributes include: site number (index), site name (name), site description (notes), target site (opposite),...

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Abstract

The invention discloses a subway high-speed data network routing analysis method based on double routing protection and tendency aggregation degree graph calculation. The method comprises the following steps: step 1, storing node data and relationship data of all service logic sites, data pass transmission sites and light pass transmission sites of a subway high-speed data network by using a graphdatabase neo4j; step 2, using a query language cypher provided by Neo4j to perform retrieval query on the site path relationship based on a tendency aggregation degree graph calculation algorithm; and step 3, according to a preset working path and protection path list of mutual connection of each station, obtaining a finally used working path and protection path according to a station name and aconnection relationship in the station attribute.

Description

technical field [0001] The invention relates to a route analysis method for a subway high-speed data network based on dual-route protection and calculation of a tendency aggregation degree graph, in particular to a routing analysis method based on dual-route protection and tendency aggregation degree graph calculation proposed for a subway high-speed data network. It belongs to the rail transit field. Background technique [0002] The subway high-speed data network connects each business logic station, datacom transmission station and light-communication transmission station of the subway. For details, see figure 1 High speed data network network topology diagram. It consists of 1 core ring network + 2 backbone ring networks. From left to right, it is the first backbone ring (also known as the west ring) 100, the core ring 300, and the second backbone ring (also known as the east ring) 200. [0003] At present, the end-to-end routing analysis of the subway high-speed dat...

Claims

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Application Information

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IPC IPC(8): G06F16/22G06F16/2458H04L12/707H04L29/08H04L45/24
CPCG06F16/2246G06F16/2465H04L45/22H04L67/12
Inventor 沙泉
Owner 上海伽易信息技术有限公司
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