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Welcome back
让我们从第五章开始
Let's start about Chapter five in Part 2
智能电网中大数据的研究方法与实践
Research methods and practice of big data in smart grid
这章共有4个小节
There are four sections in Chapter 5
5.1
5.1
平台建设
Platform construction
数据的收集和扩散
Data collection and management Data aggregation and fusion
后面的部分我们只关注第一部分
Analyses and mining And this lecture we'll just focus on the first part of the section
5.1.1
5.1.1
这是第一部分
It's the first subsection
这节课
This lecture
我们只关注5.1.1需求分析
We'll just focus on the first subsection of 5.1
智能大数据平台建设
demand analyses In the construction of intelligent big data platform
Firstly
首先
首先要综合分析业务需求
it is necessary to comprehensively analyze the business requirements
梳理业务应用对数据采集
Find out the common requirements of business applications for data collection
数据存储
data storage
数据处理计算、分析挖掘及可视化展现的共性需求
data processing and calculation analysis and mining and visual display
其次
Secondly
要明确建设目标、设定建设原则及制定建设方案
it is necessary to define the construction objectives set the construction
要明确建设目标、设定建设原则及制定建设方案
principles and formulate the construction platform
最后
Finally
进行平台开发、测试及部署
it is necessary to develop,test and deploy the platform
由此可见 平台的构建可以通过以下步骤来实现
So we can see that the platform construction can be achieved by the following steps
第一个是业务需求
The first is business requirements
第二
And the second
作为生产力的建设
as construction objectives
发展
develop
测试和租金
test and arrange
开展面向新能源
Carry out demand research for new energy
调度、高压
dispatching, high voltage
营销及继电保护等电网业务领城的需求调研
marketing relay protection and other power
营销及继电保护等电网业务领城的需求调研
grid businesses
了解这些业务在数据类型及容量
Understand the demands of this business in data type and capacity
数据存储方式和速度
Data storage mode and speed
数据采集频率及传输方式
data collection
数据采集频率及传输方式
frequency and transmission mode
数据计算模式及复杂度
Data caculation
数据计算模式及复杂度
mode and complexity
分析和挖掘算法
analyses and excavation algorithms
可视化形式等方面的需求
visualization forms and other aspects
梳理汇总调研结果
Summarize the survey results
分析并提炼出共性
analyze and extract the common
可量化、可实施的大数据需求,为平台建设方案的制定提供依据
quantifiable and implementable big data needs, and provide basis
可量化、可实施的大数据需求,为平台建设方案的制定提供依据
for the formulation of platform construction plan
所以
Therefore
通过需求调研、需求梳理汇总、需求分析转换
based on demand
通过需求调研、需求梳理汇总、需求分析转换
research sorting and a summary and demand analysis transformation
就完成平台建设中需求分析的工作
we can complete the work of demand analyses in platform construction
好
Ok
这节课就到这里
that's all for this lecture
下节课将平台建设的第二部分即方案设计
Next time we will talk about the second
下节课将平台建设的第二部分即方案设计
part of platform construction.
关于平台设计的详细内容
Some details of platform design
再见
Hope to see you again
祝你愉快
Have a nice day
-Course Introduction and Overview of Big Data
-Chapter 1
-2.1 Why Electirc Power + Big Data? 2.2 Applications
-Chapter 2
-3.1 Grid Operation and Development
-Chapter3
-Related literature on big data applications from the user perspective
-4.1 Data Acquisition+4.2 Data Storage
-4.6 Data Security and Privacy Protection
-Chapter4
-Load forecasting technology related literature
-5.1.1Platform Construction: Demand Analysis
-5.1.2Platform Construction: Design (1)
-5.1.2Platform Construction: Design (2)
-5.2 Data collection and management
-5.3.1 Data Aggregation and Fusion: Scheme and process
-5.3.2 Data Aggregation and Fusion: Application Practice
-5.4.1 Analysis and Mining: Scheme and process
-5.4.2 Analysis and Mining: Use-case analysis
-Chapter5
-6.1 Heavy overload prediction of station area
-6.2 Daily load forecasting of large users
-6.3 Fault correlation analysis of power grid control system equipment
-6.4 Reliability of relay protection equipment family-
-6.5Application of random matrix in big data analysis of smart grid
-Chapter6
-Literature on Power Vision Data Processing Technology
-Development trend and suggestions for BDIG
-Chapter7