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Detection method for time series fault tree

A detection method and fault tree technology, applied in error detection/correction, instrumentation, electrical and digital data processing, etc., can solve problems such as unscientificity and inability to adapt to industry needs, to overcome blind defects, enhance real-time and scientific sexual effect

Active Publication Date: 2015-04-29
CASCO SIGNAL
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Problems solved by technology

Such a design is unscientific and cannot adapt to the growing needs of the industry

Method used

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  • Detection method for time series fault tree
  • Detection method for time series fault tree
  • Detection method for time series fault tree

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Embodiment

[0033] refer to Figure 1-3 , to illustrate the technical solution of the present invention, first of all, refer to figure 1 , those skilled in the art can easily understand the effective data unit structure inside the sequential fault tree. On this basis, refer to Figure 2-3 , introduces the recall data processing method of the present invention.

[0034] first reference figure 1 , introduce the method for constructing the memory data model of the present invention, and determine the one-to-many relationship between the memory group and the parameters through the primary key and the foreign key, including the following steps:

[0035] Step 100, establish a memory data group model, memory data group = {recall group number, memory code, sampling period, number of sections before failure, number of sections after failure, script};

[0036] Step 101, establish a recall parameter model, recall parameter = {recall code, recall object code, data type};

[0037] Step 102, input ...

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Abstract

The invention relates to a detection method for a time series fault tree, which comprises the following steps: S1, initializing reminiscing groups and associated parameter units; S2, sampling tactic periodicity to realize reminiscing work for each reminiscing group; S3, driving a tactic periodicity polling event alarm pool; S4, adopting a detection tactic to complete integration of data before a reminiscing section through a circulation queue method, and transforming the state before the section into the state after the section again, and adopting the detection tactic to push all fitting which needs to reminisce the data before and after the section of a task according to the defined sampling period by the reminiscing groups to complete data binding of the whole reminiscing operation; and S5, adopting a diagnosis tactic to receive reminiscing data from the detection tactic, using scripts of the reminiscing groups to realize fault diagnosis and derivation, and determining the fault causes finally. Compared with the prior art, the invention has the advantages that the detection method overcomes the blindness defect of fault scanning in the prior art, solves the data of the time series problem existing in the fault tree, and expands the flexibility of the system by using the scripts.

Description

technical field [0001] The invention relates to a time-series fault tree detection method, in particular to a time-series fault tree detection method suitable for rail transit signal processing. Background technique [0002] At present, microcomputer monitoring is an important system for monitoring the operating status of signal equipment. The microcomputer monitoring system is used to monitor analog quantities, over-limit alarms, and switching statuses in real time. Fault tree technology is used to study and analyze the real-time data of the microcomputer monitoring system, to discover hidden dangers of signal equipment in advance, to prevent equipment failure, to ensure the normal operation of signal equipment, and to lay the foundation for the realization of equipment condition repair. [0003] The fault intelligent analysis system is mainly based on the historical data of the first few minutes when the microcomputer monitors and recalls, and uses the step-by-step scannin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/00
Inventor 巩林玉刘学纵王圣根谢志林
Owner CASCO SIGNAL
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