An intelligent station panoramic data monitoring and analysis system and method

Abstract

The disclosure provides a system and method for monitoring and analyzing panoramic data of an intelligent station, which acquires monitoring data, constructs an SCD file model, optimizes storage of received messages, analyzes the received messages, and obtains message file data. According to the obtained message file data, conduct online result analysis; observe whether the system is running normally, and if it shows that it is not operating normally, perform fault diagnosis on the system; obtain fault diagnosis and event information of access devices connected to the system, analyze and extract Event key information, according to the preset priority, sequentially transmit / process the corresponding event information; display the monitoring data collected by the system, message file analysis results, fault diagnosis results and event information. The disclosure optimizes the data collection, analysis, processing and display process of the intelligent station, and improves the timeliness and accuracy of data monitoring and analysis.

Description

technical field [0001] The disclosure belongs to the technical field of intelligent station communication, and relates to a system and method for monitoring and analyzing panoramic data of an intelligent station. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] At present, there are a variety of monitoring systems in smart substations, mainly including the main equipment monitoring system, auxiliary equipment monitoring system and robot inspection system. Each system performs centralized monitoring on a certain type of data. For example, the main equipment monitoring system can monitor the operation data of primary equipment including power transformers, and the auxiliary equipment monitoring system can monitor data including weather, flooding, security, etc. The robot inspection system mainly Monitor data such as operation and maintenanc...

AI Technical Summary

Problems solved by technology

Different inspection and monitoring systems adopt different data interaction formats, resulting in independent monitoring data, and data sharing and linkage cannot be realized

Due to the need to deploy multiple systems, resources are wasted. At the same time, the operation and maintenance work between multiple systems cannot be integrated, which makes the operation and maintenance personnel fall into the "data ocean", which greatly increases the workload of operation and maintenance.

[0004] At the same time, due to the large number of packets and limited storage space in the process of network packet analysis, the storage efficiency is average.

The disk is damaged during the reading and writing process. When analyzing the message, the existing technology analyzes the entire communication message collected to judge the integrity of the message and the bit error rate of the message; when analyzing the message, It is necessary to traverse the frame number in the entire message and determine the length of each frame of the message to determine whether the message is complete and whether there is frame loss. Among them, if any message is lost or out of order, it is necessary to traverse the internal sequence number of the entire message , the code reuse is not strong, the work efficiency is low, the maintenance cost is high, and the workload is heavy, resulting in a lot of waste of manpower and resources

[0005] When performing data display, the existing technology is to analyze the collected data information by frame and display it in a list, which cannot visually display the changes of multi-frame link data; when you need to view the numerical changes of channel values, you need to click on the SV link Each frame of the road can only view the corresponding numerical changes. The work efficiency is very low, the display is not intuitive, and the user interaction is poor.

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