CN106230664A - The monitoring of scheduling station front end processor abnormal state and self-recovery method - Google Patents

Abstract

The invention discloses a method for abnormal monitoring and self-recovery of the state of the front-end machine of a dispatching master station. Automatically restart the front-end application time; create a monitoring thread to judge whether the machine sends real-time data to SCADA normally; periodically monitor whether the real-time library can be opened correctly and read out data; periodically monitor the running status of the front-end core process; The working condition of the channel on the machine; periodic monitoring of the front-end status of the machine, the state of the network card of the machine, and the status of other front-end machines in the system; comprehensive monitoring results for diagnosis. The invention can automatically judge various links in the pre-operation, automatically process the detected abnormalities, and actively restore them, which meets the requirements of fast restoration of on-site operation, and improves the reliability and robustness of data collection in the automation system of the dispatching master station .

Description

Abnormal monitoring and self-recovery method of front-end processor of dispatching master station

technical field

The invention relates to a method for abnormal state monitoring and self-recovery of a front-end machine of a dispatching master station, and belongs to the technical field of power grids.

Background technique

In the front-end system of the dispatching master station, when the front-end operation is abnormal, the channel will be interrupted, and the front-end data cannot be sent to SCADA, resulting in problems such as data not being refreshed, downlink control cannot be operated, and the dispatching master station cannot be monitored. There may be a variety of reasons, including network problems, pre-key process stuck, platform problems, shared memory disorder, real-time library disorder and other reasons. At present, when the front-end is offline, it can only be found and processed manually by the automatic maintenance personnel, and there is no active status monitoring and self-recovery mechanism, which affects the stable and safe operation of the front-end of the dispatching master station.

Contents of the invention

In order to solve the above technical problems, the present invention provides a monitoring and self-recovery method for the status abnormality of the front-end processor of the dispatching master station.

In order to achieve the above object, the technical scheme adopted in the present invention is:

The abnormal monitoring and self-recovery method of the front-end processor of the dispatching master station includes the following steps,

Read the system pre-configuration, network card status and pre-status, read various monitoring configuration parameters, and read the last time when the pre-application was automatically restarted;

Create a monitoring thread to judge whether the machine is sending real-time data to SCADA normally;

Periodically monitor whether the real-time database can be opened correctly and read out data. If the real-time database is abnormal, the table in the real-time database will be automatically downloaded and an alarm will be issued;

Periodically monitor the running status of the pre-core process, and automatically restart the process if the core process is abnormal and reaches the set threshold;

Periodically monitor the working condition of the channel connected to the machine, and calculate the exit ratio of the channel;

Periodically monitor the state of the front-end of the machine, the state of the network card of the machine, and the state of other front-end machines in the system;

Diagnose based on various monitoring results. If a front-end abnormality is diagnosed, an alarm will be issued in time. If the automatic restart parameter is configured, the front-end application will be automatically restarted.

The tables in the real-time library include pre-configuration tables, communication factory station tables and channel tables.

Diagnose based on various monitoring results. If the machine is offline, another front-end in the system is online, and the network of the machine is normal, the exit ratio of the channel on the machine reaches the threshold, and the monitoring thread determines that the front-end will not send SCADA for a period of time. If real-time data is sent, it is considered that the front-end operation is abnormal.

Beneficial effects achieved by the present invention: the present invention can automatically judge various links in the pre-operation, automatically process the detected abnormalities, and actively recover, which meets the requirements of quick restoration of on-site operation and improves the automation system of the dispatching master station. Reliability and robustness of data collection.

Description of drawings

Fig. 1 is a flowchart of the present invention.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

As shown in Figure 1, the abnormal monitoring and self-recovery method of the front-end processor of the dispatching master station includes the following steps:

1) Read the system pre-configuration, network card status and pre-status, read various monitoring configuration parameters, and read the time of the last automatic restart of the pre-application.

2) Create a monitoring thread to judge whether the machine is sending real-time data to SCADA normally.

3) Periodically monitor whether the real-time library can be opened correctly and read out data. If the real-time library is abnormal, the tables in the real-time library will be automatically downloaded and an alarm will be issued; the tables in the real-time library include pre-configuration tables, communication plant station tables, and channel tables.

4) Periodically monitor the running status of the pre-core process. If the core process is abnormal and reaches the set threshold, the process will be automatically restarted.

5) Periodically monitor the working condition of the channel connected to the machine, and calculate the exit ratio of the channel.

6) Periodically monitor the state of the front-end of the machine, the state of the network card of the machine, and the state of other front-end machines in the system;

7) Diagnose based on various monitoring results. If the machine is offline, there is one other front-end in the system online, and the network of the machine is normal, the exit ratio of the channel on the machine reaches the threshold, and it is determined in the monitoring thread that the front-end does not continue for a period of time. Send real-time data to SCADA. If the above conditions are met, it is considered that the front-end operation is abnormal. If the front-end abnormality is diagnosed, an alarm will be issued in time. If the automatic restart parameter is configured, the front-end application will be automatically restarted.

The above method can automatically judge the various links in the pre-operation, automatically process the detected abnormalities, and actively recover, which meets the requirements of rapid recovery of on-site operation and improves the reliability and robustness of data collection of the automation system of the dispatching master station .

The above is only a preferred embodiment of the present invention, and it should be pointed out that for those of ordinary skill in the art, without departing from the technical principle of the present invention, some improvements and modifications can also be made. It should also be regarded as the protection scope of the present invention.

Claims (3)

1. the monitoring of scheduling station front end processor abnormal state and self-recovery method, it is characterised in that: comprise the following steps,

Reading system pre-configured, network card status and initial status, read all kinds of supervision configuration parameter, reads last automatic Restart the time of preposition application；

Create and monitor thread, it is judged that the machine the most normally sends real time data to SCADA；

Cycle monitors that can real-time database correctly be opened and read data, the table if real-time database is abnormal, in the most lower dress real-time database And alert；

Cycle monitor preposition core running state of process, if kernel process exception and reach set threshold value, automatically restart This process；

Cycle monitors the operating mode being connected to the machine upper channel, and calculate passage exits ratio；

Cycle monitors the state of the machine initial status, the machine network card status and system other front end processors interior；

Comprehensive every monitoring result diagnoses, if being diagnosed to be preposition exception, sends alarm in time, if be configured with automatically Automatically preposition application is restarted when restarting parameter.

Scheduling station front end processor abnormal state the most according to claim 1 monitoring and self-recovery method, it is characterised in that: real Table in Shi Ku includes pre-configured table, communication plant stand table and channel table.

Scheduling station front end processor abnormal state the most according to claim 1 monitoring and self-recovery method, it is characterised in that: combine Close every monitoring result to diagnose, if the machine off-line, be equipped with before other in system one online, and native network is normal, The machine upper channel exits ratio and reaches threshold value, monitors that determining preposition continuing for some time in thread does not send in real time to SCADA Data, then it is assumed that preposition operation exception.