A power plant data intelligent processing system

Abstract

The invention provides a power plant data intelligent processing system, including: operation and maintenance management module; safety management module; data acquisition and extraction module; data storage module; general analysis and calculation module; intelligent calculation and analysis module: based on machine learning algorithm , use distributed computing resources to establish and train intelligent algorithm models, and establish prediction models through multi-dimensional associated data analysis data; edge computing module; microservice publishing module: used to publish and manage system load data, computing tasks and external services; data governance module. This power plant data intelligent processing system, through deep integration with big data, Internet of Things, cloud computing, artificial intelligence and other technologies, can realize accurate collection of data in each system of the power plant, realize intelligent processing of data in each system, and improve automation of power generation equipment , digitization, visualization and intelligence, as well as equipment reliability and availability.

Description

technical field [0001] The invention relates to the technical field of electric power data processing, in particular to an intelligent data processing system of a power plant. Background technique [0002] With the implementation of the national energy policy, saving energy, reducing consumption and reducing operation and maintenance costs are the essential requirements for thermal power plants to improve operating efficiency. At present, in most power plants in China, various monitoring systems are independent, such as thermal control system, auxiliary control system, electrical automation system, booster station control system (NCS), etc. At the same time, users need to face different monitoring systems, Different system providers, different spare parts, etc. greatly increase the maintenance workload of the power plant. Since each control system is independent of each other, the data processing of each control system is also very different, so that the data resources of t...

AI Technical Summary

Problems solved by technology

[0004] 1) Lack of stable operation and maintenance management and security management systems, poor system operation stability and maintainability, weak user storage, computing services, and weak management and control of storage resources and computing resources, vulnerable to external attacks, and easy to cause data loss Or confusion, poor traceability;

[0005] 2) The data collection is not comprehensive, the accuracy of real-time data collection is poor, especially the discrete relational data collection is incomplete, the efficiency is low, and the security and stability of data collection cannot be guaranteed;

[0006] 3) The data storage architecture is complex and inflexible, the business and infrastructure are tightly coupled, and the application system is subject to the dependencies between software and hardware. At the same time, the operation and maintenance management of traditional data centers is complex, resource utilization is low, and maintenance costs are high;

[0007] 4) The data processing ability is weak, and it does not have the intelligent learning and modeling ability of the algorithm, and cannot realize the functions of index analysis, equipment diagnosis, fault warning, etc.;

[0008] 5) There is no data governance system, unable to help power companies standardize data processes, manage internal master data of enterprises, improve enterprise data quality, and ensure that enterprises receive accurate, timely and complete data support in business operation management

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