ZC double-system downtime fault early-warning method and device based on autonomous learning
A technology of self-learning and fault warning, applied in the general control system, control/adjustment system, test/monitoring control system, etc., can solve system degradation, reduce operational efficiency and safety, do not have equipment failure analysis and early warning functions, etc. question
Active Publication Date: 2015-03-25
TRAFFIC CONTROL TECH CO LTD
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Problems solved by technology
[0004] Further, the current signal system maintenance and fault handling methods have the following defects: 1) After a fault occurs, relevant reminders are given on the subsystem maintenance workstation, and the maintenance personnel manually confirm and perform maintenance on site; 2) For those that affect driving safety and Failure of the subsystems in which the equipment works normally will lead to system degradation, reducing operational efficiency and safety; 3) It does not have equipment failure analysis and early warning functions, and can only deal with failures after failures occur and affect them, and failures occur and processing such as figure 1 shown
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[0031] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0032] In order to better understand and apply a self-learning-based ZC dual-system downtime warning method and system proposed by the present invention, the following drawings are used as examples to illustrate in detail.
[0033] Such as figure 2 As shown, the present invention provides a ZC dual-system downtime early warning method based on self-learning, comprising the following steps:
[0034] Step S1: Select the operating parameters when the ZC system is in normal operation.
[0035] Specifically, the ZC system uses a two-by-two two-out two-machine hot standby platform, and the principle is as follows image 3 As shown, when the two systems fail at the same time or the two systems are inconsistent, ZC downtime will occur. By analyzing the ZC subsystem design scheme, select some parameters in the ZC maintenance data, and record their values wh...
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The invention relates to a ZC double-system downtime fault early-warning method based on autonomous learning. The ZC double-system downtime fault early-warning method includes the steps that firstly, operation parameters obtained when a ZC system normally operates are selected; secondly, in the downtime of the ZC system, the operation parameters are recorded; thirdly, the frequency item set of the recorded operation parameters is calculated through an autonomous learning algorithm; fourthly, the frequency item set is analyzed, early-warning parameters in the downtime of the ZC system are obtained, the early-warning parameters are stored, and an early-warning parameter database is generated; fifthly, when the ZC system normally operates, the operation parameters are monitored, when the operation parameters reach the preset early-warning range of the early-warning parameters, fault early-warning information is sent out. By means of the method, data supporting is provided for fault analyzing in the downtime of the ZC system, maintenance personnel are informed in time, and efficiency and accuracy of early warning are achieved. The invention further discloses a ZC double-system downtime fault early-warning based device on autonomous learning.
Description
technical field [0001] The invention relates to the technical field of automatic control, in particular to a self-learning-based ZC dual-system downtime fault warning method and device. Background technique [0002] At present, the urban rail transit signal control system is the core system of rail transit to control the operation of trains, ensure the safety of trains and the operation of universities. The failure of the signal system is closely related to the operation, and will directly affect the safe driving and passenger travel. When the signal system fails, it may cause station closures, reduce operational efficiency, and even cause large-scale outages, which may seriously affect the traffic conditions of the entire city. influences. [0003] Specifically, ZC (Zone Conductor, zone controller) is the ground core control device of the communication-based train control system (CBTC), and is an essential device for realizing mobile block. As a device related to driving ...
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Login to View More IPC IPC(8): G05B23/02
CPCG05B23/0259
Inventor 杨扬刘保生
Owner TRAFFIC CONTROL TECH CO LTD