Source network load control second-level network remote monitoring analysis platform

Abstract

The invention discloses a source network load control second-level network remote monitoring analysis platform, and the platform comprises a network equipment management system, a data acquisition server, a network monitoring system and an early warning analysis system; the data acquisition server acquires transformer substation operation data received by the monitoring hosts of all transformer substations in the current level and corresponding next-level transformer substation operation data; the network monitoring system monitors and analyzes the operation data of each transformer substationby combining the operation data of the next-stage transformer substation and the configuration data of each network device; and the early warning analysis system performs early warning analysis on front-stage network equipment and rear-stage network equipment of the abnormal network equipment in combination with the hierarchical relationship between the substations. According to the invention, the hierarchical relationship between the substations and the relationship between the network devices contained in the substations are combined to monitor and analyze each network device of all the substations in the area, so the fault monitoring efficiency of the network devices is greatly improved, and the fault prediction of the network devices which may have anomalies is realized.

Description

technical field [0001] The invention relates to the technical field of substation network monitoring, in particular to a second-level network remote monitoring and analysis platform for source network load control. Background technique [0002] With the development of the integration of dispatching and monitoring districts and counties, the number of substations under the jurisdiction of dispatching and monitoring in each region is also increasing, and the corresponding network equipment is also increasing. The monitoring and pressure of monitoring personnel are very heavy. Passive fault handling makes monitoring personnel extremely fatigued, and faults cannot be found predictably for maintenance and processing during the operation and maintenance process, which may easily cause problems such as fault discovery and untimely processing. [0003] At present, some researchers have proposed to use the monitoring and analysis platform to maintain and manage the related network eq...

AI Technical Summary

Problems solved by technology

In addition, combined with the fault level and network equipment correlation degree, the fault area is divided, which solves the existing problem of incomplete troubleshooting

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