Power dispatching production management system based on cloud computing and realization method of power dispatching production management system

Abstract

The invention discloses a power dispatching production management system based on cloud computing and a realization method of the power dispatching production management system. The system supports panoramic real-time presentation of diversified and isomerous mass data; the real-time panoramic data presentation refers to real-time visualization of various result indexes obtained through analysis of operating data, display design provides a friendly visualization mode for user experience and adapts to characteristics of diversity and isomerization of a current terminal, so as to develop an omnibearing monitoring and analyzing system on the basis of a visualization technology, therefore, the sensory ability of dispatching persons to power grid states can be improved, and the dispatching persons can rapidly and effectively respond to emergency situations; the power dispatching production management system can schedule maintenance plans in a rolling manner and has the functions of monthly plan high-class statistic analysis display and automatic generation of power failure information.

Description

technical field [0001] The invention relates to a cloud computing-based electric power dispatching production management system and an implementation method thereof. Background technique [0002] The application scenario of the combination of scheduling production management system (OMS system) and cloud computing is "virtualization-based private cloud technology + big data technology", that is, OpenStack should be integrated with VMware and Hadoop to provide a virtualized private cloud storage and computing environment. [0003] In practice, the OpenStack Nova module can be integrated with VMware to realize the management of virtual machines; the OpenStack Dashboard module can be used to realize the resource pool management function and the virtual machine lifecycle management function; the OpenStack Swift module can be integrated with the Hadoop Map / Reduce cluster to realize IAAS and data processing integration. The advantage of using this architecture is that the OMS sys...

AI Technical Summary

Problems solved by technology

[0007] (2) The relational model does not support complex data nesting

[0008] (3) Relational databases are insufficient in terms of performance, scalability and scalability

[0011] (2) There is a lack of strong technical support provided by suppliers, and the requirements for the technical level of development and operation and maintenance personnel are relatively high

[0012] (3) The database design is more difficult

However, due to the lack of this relationship in distributed database systems, there may be great differences between different products based on distributed database technology.

This increases the difficulty of database structure design

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