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Database completion method of novel power supply rail transit operation and maintenance system

A technology for power supply rails and operation and maintenance systems, applied in the field of database optimization, can solve problems such as short completion time, and achieve the effect of improving the completion effect and high-precision identification and completion processing.

Active Publication Date: 2020-01-03
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies in the prior art, to provide a database completion method for a new type of power supply rail transit operation and maintenance system, which combines active learning methods and can continuously provide real-time database completion technology for the rail transit operation and maintenance system database. It solves the technical problem of completing the database due to the adjustment of rail transit business and the inherent errors of the database, and the completion time is short, which can realize rapid completion

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  • Database completion method of novel power supply rail transit operation and maintenance system
  • Database completion method of novel power supply rail transit operation and maintenance system
  • Database completion method of novel power supply rail transit operation and maintenance system

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Embodiment Construction

[0028] The technical solution of the present invention will be further described in conjunction with specific implementation and examples.

[0029] Such as figure 1 , the specific implementation process and working principle of the present invention are as follows:

[0030] (1) Firstly, the clustering method and the graph structure mining method are used to quickly discover and identify abnormal relationships and unknown relationships in the new power supply rail transit operation and maintenance system. And the preliminary screening results of the abnormal relationship / unknown relationship in the database are obtained. The method is divided into two steps: first, the rail transit database clustering method is used to mine the semantic information in the rail transit operation and maintenance database:

[0031] a) Database clustering first divides the nodes in the database into different sets, and each node forms a corresponding initial set.

[0032] b) Since the rail trans...

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Abstract

The invention discloses a database completion method of a novel power supply rail transit operation and maintenance system. The method comprises the following steps: firstly, discovering a database byadopting link prediction, and identifying an abnormal relationship and an unknown relationship in the database; calculating the confidence coefficient of a node relation tuple; and finally, judging and adding into the database, so that the rail transit operation and maintenance database is more complete. The method has integrity and controllability in the aspect of facing the database completionproblem in the professional field, and the precision is improved.

Description

technical field [0001] The invention relates to a database optimization method in the computer field of data mining and data atlas, in particular to a database completion method for a new power supply rail transit operation and maintenance system. Background technique [0002] In recent years, the optimal design and operation control of new power supply rail transit systems have been vigorously developed and popularized. Using the rail transit operation and maintenance system database to support the optimal design and operation control of the new power supply rail transit operation and maintenance system has gradually become a popular and important application. By establishing a rail transit operation and maintenance system database, it can effectively provide decision support for the rail transit operation and maintenance system, and then help relevant personnel to further optimize the operation and maintenance system. [0003] However, the rail transit operation and maint...

Claims

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Application Information

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IPC IPC(8): G06F16/215G06F16/23G06F16/2458G06F16/901
CPCG06F16/215G06F16/2379G06F16/2465G06F16/9024G06F2216/03G06Q50/40
Inventor 陈刚刘晋潘硕李辉陈钦况江大伟陈珂吴晓凡
Owner ZHEJIANG UNIV
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