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A self-diagnosis and self-recovery method for an intelligent substation system

A smart substation and self-recovery technology, applied in information technology support systems, response error generation, instruments, etc., can solve the problems of no historical data in reports, real-time alarm information cannot be uploaded, real-time data of online monitoring screens are not refreshed, etc.

Inactive Publication Date: 2017-08-29
XJ ELECTRIC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the above reasons occur in the core service process of the monitoring system, the monitoring system will show the following characteristics: the real-time data of the online monitoring screen is not refreshed; the generated real-time alarm information cannot be uploaded to the operator station; the remote control command cannot be issued; No historical data; unable to query historical alarm information

Method used

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  • A self-diagnosis and self-recovery method for an intelligent substation system
  • A self-diagnosis and self-recovery method for an intelligent substation system
  • A self-diagnosis and self-recovery method for an intelligent substation system

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Embodiment Construction

[0020] The present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0021] For the analysis of the abnormal scene of the core process of the monitoring server, it is summarized into five types: memory leak, abnormal exit (coredump), thread deadlock, thread infinite loop and others. The results caused by abnormality are: the real-time data of the online monitoring screen is not refreshed, the generated alarm cannot be sent to the operator station, the control command cannot be issued, the historical data cannot be found in the report, and the historical alarm information cannot be queried. For the infinite loop, process deadlock or thread deadlock generated by the application process, the data will not be refreshed and the command cannot be issued in the system. By grabbing the execution stack of a thread, combined with the CPU rate of the thread, and combining the design source code corresponding to the stack,...

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Abstract

The invention discloses a self-diagnosis and self-recovery method of an intelligent transformer substation system, which comprises the following steps that: (1) a monitoring server host regularly acquires a memory size occupied by core processes of the system, and self-recovery is started when the memory size exceeds a preset threshold, (2) abnormity detection is carried out by closed-loop self-checking between the monitoring server host and a monitoring client, and the self-recovery is started when the monitored abnormity frequency exceeds a preset threshold accumulatively; and (3) after the self-recovery is started, master and slave switching operation of double servers is carried out, and the host restarts generated abnormal service processes. The self-diagnosis and self-recovery method of the intelligent transformer substation system employs the characteristics of basic frame refreshing, data refreshing, alarm uploading and the like in an operating period of the system; a closed-loop timing self-checking function is formed between the monitoring server host and the monitoring client; and when a self-checking result corresponds with an abnormal condition, a self-recovery policy of the system is started by using a hot standby characteristic of the system so as to ensure long-term reliable operation of the system.

Description

technical field [0001] The invention belongs to the field of comprehensive automation of intelligent substations in power systems, and in particular relates to a self-diagnosis and self-recovery method for an intelligent substation system. Background technique [0002] During the long-term operation of the monitoring server in the substation, there may be abnormalities due to various reasons (such as some hidden loopholes), and serious abnormalities will bring bad effects to users. The common exceptions in the system are as follows: application crashes caused by continuous accumulation of memory leaks; system exceptions caused by continuous accumulation of system resource leaks such as sockets and file handles; application exceptions caused by process or site deadlocks; insufficient protection against illegal data processing Caused program exceptions (pointer exceptions, stack corruption), etc. When the above reasons occur in the core service process of the monitoring syste...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/16G06F11/30G06Q50/06
CPCY04S10/50
Inventor 邱俊宏张海庭卫星吴正青李红李永照王广民陈可柯胡斌
Owner XJ ELECTRIC
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