A Method for Acquisition and Distributed Storage of Multi-source Heterogeneous Power Grid Data

Abstract

The invention discloses an acquisition and distributed storage method of fused multi-source heterogeneous power grid data. The method comprises the following steps: establishing an interface protocol according to each business system and establishing a power grid running environment and equipment data model regulation; configuring a data access strategy and configuring a data checking rule for each business system; monitoring the information produced in the running process of real-time accessing into an application, and performing data additional recording on the data lost in the fault period for the monitored fault information; establishing a real-time message queue, data broadcast and a format regulation of cached power grid running data; broadcasting the analyzed online monitoring data, running data, thunder data and meteorological data and storing the same on the cache message queue, writing the data into the Hadoop distributed storage file according to period; and visually displaying the accessed data and the monitoring data. The power grid running environment and the equipment data model regulation are created, and the foundation is laid for the unified power grid system data modelling.

Description

technical field [0001] The invention relates to the field of access and storage of operating environment and equipment information of a power system, in particular to a cross-platform data acquisition and distributed storage method for integrating power grid operating environment and equipment information. Background technique [0002] Information related to the status of power transmission and transformation equipment is an important basis for evaluating equipment status, diagnosing equipment failures, dynamically adjusting equipment loads, and evaluating the impact of power grid risks on equipment. Real-time and accurate acquisition of information about the status of power transmission and transformation equipment, operation, and environment is an important basis for in-depth analysis of equipment. The core foundation of status and precise control of equipment capability levels. [0003] At present, the equipment, operation, and environment data involved in the status info...

AI Technical Summary

Problems solved by technology

[0004] Since each business system is based on different platforms, different application goals, different protocols, and different data structures, it presents the characteristics of high discreteness and temporal and spatial distribution, and there are inconsistent data interface specifications, structured and unstructured data storage among cross-platform data. problems such as different methods and weak correlation; secondly, the data of each business system is basically stored in the form of relational database or file, which is not convenient for data analysis and processing using distributed technologies such as Hadoop; thirdly, for EMS, meteorology, online monitoring, etc. Real-time data flow, the real-time and accuracy of its access method, is an important link to quickly judge the status of equipment, and it is necessary to establish a real-time data broadcast and data sharing mechanism

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