3.3 Society and Government在线视频

大家好
Hello,everyone

欢迎回来
welcome back

在本讲中，
in this lecture，

我将讲述两者的相关性
I will present the relationship

BDSG功能和它对社会和政府的贡献
between the function of BDSG and contribution for a society and government

本节课围绕两方面进行阐述
This lecture will be shown in three subsections Government

政府辅助决策支持和电力数据商业价值
insisted decision support power date her business value and smart City and energy Internet

让我们开始3.3.1小节
Now let's start with the section three point three point one

政府辅助决策支持
BDSG can support the government decision.

我们将介绍政府辅助决策的两种功能
We will talk about two functions of government assisted decision support

第一个是社会经济状况分析预测
First is the analysis and prediction of social and economy conditions

第二个是政策及其执行效果评估
and the second is the evaluation of our policies and their implementation effects

好吧
OK

让我们开始讨论为何大数据分析
let's talk about why big data analysis

是有益处的对社会经济状况分析预测
is helpful for the analysis and prediction of social and economic conditions

行业和区域经济趋势预测是指
Industria and original economic trend prediction refers to

利用
By using the electricity consumption,

各地区、各行业用电信息
information of various regions and industries

分析用电与行业分布、
The relationship between electricity consumption

地区产业结构的关系
and industry distribution,regional industrial structure can be analyzed

以及不同行业之间的横向或纵向关联
as well as the horizontal or vertical relationship between different industries

发现影响重点行业、
So the key factors affecting the development

区域发展景气水平的关键因素
and the prosperity level of a key industries and regions will be indicated.

最终，
Finally,

是为了实现对重要区域
to achieve the analysis and prediction of the future development of users

和行业未来发展的用户情况与单位附加值用电量趋势的分析预测
and a trend of unit value-added power consumption in important regions and industries

大数据分析在智能电网中还能
Big data analyses in smart grade can also

评估政策及其执行效果
evaluate the policies and their implementation effects

分析不同区域
Based only analysis of probability,

不同行业和不同用户的用电量概率分布
distribution of electricity consumption and its typical load curve in different regions

及其典型负荷曲线
Industries and users

为电价政策的制定及效果评估提供依据
and provides the basis for the formulation of electricity price policy and the effect evaluation

分析行业、企业的单位生产总值能耗
by the analysis of the energy consumption per unit of gross product from industries and

为政府制定能效补贴提供决策支持
enterprises and provide decision support for the government to formulate energy efficiency subsidies

现在让我们继续将下一个部分
Now let's turn to next part.

电力数据的商业价值如何
How about the commercial values of power data?

四类商业价值将会被介绍
Four kinds of commercial values will be talked as follows

用户信用与价值评价
User credit and value evaluation

通过深度挖掘
By deeply mining,

电力用户用电和缴费行为
the electricity consumption and payment behavior of power users

和用户信用和价值进行评级
And rating the user credit and value

建立用户信用评级指标和标准并分析潜在风险
The user credit rating systems can be established and the potential risks can be analyzed

最后
Finally,

针对不同等级用户采用差别化营销和服务模式
different marketing and service modes are adopted for different levels of users.

积极发掘高价值用户
High value users are actively explored

有助于降低用电交易成本，
which helps to reduce their transactions coast of electricity consumption

同时可为银行
and provide support for user graduate evaluations in banks

证券
Negotiable securities

商业
Commerce

互联网等领域评估用户信用提供有力支持
the Internet and other fields

广告定向投放辅助分析
The auxiliary analysis are targeted advertising

除了用作用户信用评价
Besides the user credit evaluation,

电力数据还可用于广告定向投放辅助分析
the business value of data also works in auxiliary analyses are targeted advertising

分析不同区域
By the analysis of electricity consumption,

不同地区居民的用电行为
behavior of residents in different regions

结合区域属性
And the area properties,

商业消费信息信息
commercial consumption information

互联网信息等
internet information etc

利用聚类分析建模
Based on cluster analysis feature model of residential electricity,

细分居民用电消费特征
consumption will be built

挖掘各区域居民消费习惯
Then the resident's consumption habits in different regions can be mined

为企业用户提供不同区域居民消费能力预算
The budget on residents' consumption capacity in different regions can be provided

消费品关注方向预测
And prediction of the direction of consumer goods focus will be protected too.

以辅助企业为其产品进行广告定向投放
It is finally help for two exist enterprises to carry out targeted advertising for their products

电力数据的第三类商业应用
The third application of power data of business value

商业投资选址辅助分析
is the auxiliary analysis of commercial investment location

首先
First,

不同群体用电行为
electricity user behaviour are different groups

例如区域居民 商户
such as residents merchants,

学校
schools,

医院
hospitals,

对公共场所等被分析
public places was analyzed

结合地理信息系统等多方面的数据
Combined with GIs and other kinds of data

用电关联分析模型不同类型商户
The electricity consumption correlation at analysis model between different types of merchants

与周边区域将被建立
and their surroundings can be established

因此辅助决策为商业投资选址
So the auxiliary decision making for commercial investment location can be provided

好吧
Okay,

所有的
that's all for

关于3.3.2电力数据商业价值的介绍
power data for commercial values

下面来看3.3.3小节
Let's move to sub section three point three point three.

我们都知道，智能城市在安娜到互联网
We all know that smart city is energy to Internet

是未来城市运行和能源供应的
are the development trend of urban operation

发展趋势和目标
and energy supply in the future

大数据就像智慧城市和能源互联网的
Big data is just like the brain and nerve of Smart city

大脑和神经
an energy Internet.

在支撑智慧城市和能源互联网的建设方面
So let's have a look about what can BDSG do to support the construction of

智能电网大数据可以做什么
the smart city and energy Internet

智慧城市中的大数据应用
For a smart city operation

电网数据能够集中反映社会宏观发展
power grid data can tell us this social mackerel development

产业发展和环境变化
industrial development and environmental change

它也可以知道分布
It can also know the distribution

迁移
migration,

居住情况和消费趋势
living conditions and consumption trends

不同人群的情况
of different groups of people

机器
The energy efficiency of machines,

工厂、行业的能效，交通的发展情况
factories and industries and development of a transportation

来自电网外部的数据
While data from outside of the power grid

如天气预报数据、城市建设规划数据、地理信息系统数据
such as whether full car stater urban construction planning data

也将为智慧城市中的电网发展提供参考。
GIS Data will also provide a reference for the development of power grade in smart city

电网内外部的这些数据
The internal and external data of power grid

有助于智慧城市高效运行
will help smart city operate efficiently

能源互联网中的大数据应用
Now let's focus on the other application of BDSG in smart city that's the energy Internet

通过电力与热、气系统的深度融合
By deep fusion of the electric power heat and gas system

在提升电力系统灵活性的同时
the flexibility are power system can be improved

实现各类能源在更大范围的优化配置和自由转换
Optimal allocation and free conversation of energy can be achieved

通过为用户提供定制化的能源服务
By providing customized energy service for users

激发用户参与到
users can be motivated to participate in,

能源生产、管理、消费各个环节的主动性
all aspects of energy production management and consumption

从而提高能源利用效率。
so as to improve the energy utilization efficiency.

所以这节课就是从服务对象的角度
So this lecture is all about the introduction to the technical process

介绍BDSG的三个主要应用的技术流程和原理
and the principle of three main applications of BDSG from the perspective of service object

下次课讲讨论4.1小节智能电网大数据的技术架构
The next lecture will focus on the technical framework of BDSG

再见
See you next time