Information intelligent layering and propelling method for comprehensively and automatically monitoring centralized control station and transformer substation

Abstract

The invention provides an information intelligent layering and propelling method for comprehensively and automatically monitoring a centralized control station and a transformer substation. The information intelligent layering and propelling method comprises the following steps of: 1) classifying and integrating current data of the centralized control station or the transformer substation; 2) classifying data information integrated in the step 1); 3) layering the data information obtained in the step 2); 4) propelling the data information integrated in the step 1) in real time layer by layer; 5) establishing a data storage model according to a classification layering result and storing the data; 6) establishing a software assembly model for equipment, and establishing a mapping relation with the data model; and 7) synchronously refreshing the data. The information intelligent layering and propelling method for comprehensively and automatically monitoring the centralized control station and the transformer substation provided by the invention can be used for solving the problems that the conventional transformer substation has the defects of large redundancy, more interference information, fuzzy information display layer, unclear important content and the like, and ensures the pertinence and integrality of the information.

Description

technical field [0001] The invention relates to an automatic monitoring technology of a power system, in particular to a technology for realizing integrated automatic monitoring of centralized control stations and substations. Background technique [0002] With the rapid development of digital substations, the number of automated information systems is increasing, the system scale and capacity are increasing, and the amount of information is increasing. The explosive increase in the amount of automated monitoring information and the frequent login and alarm of non-critical information interfere to a certain extent with the normal real-time monitoring and accident prediction of the operating personnel on duty, delaying the time to discover and deal with hidden dangers in equipment, and may even affect the safety of failures. Resume processing in a timely manner. [0003] In actual work, different users pay attention to different information points, and the same user pays att...

AI Technical Summary

Problems solved by technology

[0004] At present, there are a large number of systems in substations or centralized control stations, with scattered functions, overlapping information, and large data redundancy.

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