Development trend and suggestions for BDIG在线视频

好的，欢迎回来。
Ok, welcome back.

本讲将进入第七章。
This lecture will move on to chapter seven.

这是本课程最后一章，BDSG发展趋势和建议
It's the last chapter of this course development trend and suggestions for BDSG。

第七章有三个小节
there are three subsections in chapter7

发展趋势、实施路径及建议。
Development trends、Implementation path and some Recommendations 。

现在让我们从第一小节的发展趋势开始
now let’s start about the first subsection Development trends

电网的发展和变革，将向着自动化、
The development and transformation of the power grid will evolve towards an automated,

智能化的路线演进。
intelligent route

电网智能化未来的发展趋势是
The future development trend of grid intelligence is

建立在物联网、云计算、大数据与深度学习等一系列技术成熟且被深层次应用的基础上，
based on a series of mature and deep-rooted applications of IoT, cloud computing,

且被深层次应用的基础上，
big data and deep learning technologies,

是对传统电网物理属性的进一步扩展，
which is a further expansion of the physical properties of the traditional grid,

是增加电网的连接通信特性
and an intelligent transformation process that increases the connected communication characteristics

和智能决策属性的智能化改造过程。
and intelligent decision-making properties of the grid.

（1）智能感知技术的发展
(1) The development of intelligent sensing technology

以及电力信息通信网络的建设为电网实时状态采集
and the construction of power information and communication networks provide the means

和全程在线感知提供了手段和媒介。
and medium for real-time state acquisition and full online sensing of the grid.

智能感知设备遍布电网各个环节，
Intelligent sensing devices are located in all parts of the grid,

实时采集、传输电网状态信息，
collecting and transmitting grid status information in real time,

用数据真实记录和反应着电网运行状态。
recording and reacting to the grid operation status with data.

随着电力信息通信网和无线专网的建设，
With the construction of the power information and communication network and wireless private network,

传送宽带不断增大，
the transmission broadband continues to increase,

课支撑更多高密度数据采集和大容量数据传输的场景，
the class supports more high-density data acquisition and large-capacity data transmission scenarios,

实现电网实时状态采集和全程在线感知。
real-time state acquisition of the grid and full online sensing.

（2）云计算与大数据技术的成熟为
(2) The maturity of cloud computing and big data technology provides tools for

电网数据实时分析与处理提供工具。
real-time analysis and processing of grid data.

以云资源为基础，充分利用其广泛部署和
Based on cloud resources, it can make full use of its widely deployed and

分布式存储能力
distributed storage capabilities

能够完成电网大范围的数据采集接入
complete the data collection access and converged storage work on

与融合存储工作；
a large scale of the power grid;

充分融合云的计算资源弹性扩展能力
it can fully integrate the elastic scalability of computing resources in the cloud

与大数据的处理能力，
with the processing capabilities of big data,

能够实现更大范围、更宽时间跨度、
and can realize data computing and processing work with a larger scope,

更智能算法的数据计算和处理工作。
wider time span and more intelligent algorithms.

（3）深度学习智能算法的演进以及海量历史数据的积累，
(3) The evolution of deep learning intelligent algorithms and the accumulation of huge amounts of historical data

是电网业务的决策过程从人工
is the transformation of the decision-making process of grid business from artificial

向机器智能辅助决策转变。
to machine intelligence-assisted decision-making.

人工智能的核心优势在于能够利用各类传感器来
The core strengths of artificial intelligence are the ability to use all kinds of sensors to

代替人类手机数据、提取信息；
replace human cell phone data and extract information;

能够利用大数据达到超越人类的计算和分析能力；
the ability to use big data to achieve computational and analytical capabilities beyond those of humans;

能够不知疲倦地面对海量重复性任务；
the ability to face large amounts of repetitive tasks tirelessly;

能够代替人类来实现学习成本高但是使用频率低的场景。
and the ability to replace humans to achieve scenarios that are costly to learn but are used less frequently.

工智能能够将学习、分析与决策能力
Artificial intelligence is capable of replicating learning, analysis and decision making capabilities

在多场景应用中低成本复制，
in multiple scenario applications at low cost,

并不断进化该能力。
and evolving that capability.

这些优势是人类无法比拟的，也是电力行业所需要的。
These advantages are unmatched by humans and are needed by the power industry.

未来遍布电网发电、输电、变电、配电、用电各环节的传感设备将替代
In the future, sensing equipment covering all aspects of power generation, transmission, substation, distribution

人工收集、统计和录入数据，
and use of electricity in the grid will replace manual collection, statistics and data entry,

提炼基础信息，
extract basic information, transmit it in real time

实时传输至建立在云平台上的数据中心，
to the data center built on the cloud platform, converge and store it based on the data model

基于覆盖电力全业务的数据模型进行融合存储，
covering the whole business of electricity,

利用大数据技术对数据进行处理和分析。
and process and analyze the data using big data technology.

针对不同的电力业务场景，
For different power business scenarios, the development of functional modules such as

开发预警、监控、查询、统计、分析、辅助决策等功能模块，
early warning, monitoring, query, statistics, analysis, auxiliary decision-making, etc,

以云平台软件的方式提供服务，同时产生的数据以服务模式为用户使用。
to provide services in the form of cloud platform software, while the data generated is used by users in a service mode.

电网的全部业务环节转化为一张由数字构建的网络，
The entire business segment of the grid is transformed into a network built by numbers,

所有现有的业务和决策过程抽象为数据处理流程和模型算法，
and all existing business and decision-making processes are abstracted into data processing processes and model algorithms

将最终结果作为人工决策的依据。
that use the end result as the basis for manual decision-making.

我们来谈谈发展的三个阶段。
Let's talk about the three stages of development.

要实现智能电网大数据研究和应用落地，将经历三个发展阶段：
Three stages of development will be required to bring big data of intelligent grid research and applications to the ground.

第一阶段是启蒙和初步探索阶段（2012-2014年）：
The first stage is the initiation and preliminary exploration stage (2012-2014):

初步认识大数据的概念和理论；
a preliminary understanding of the concept and theory of big data;

分析大数据在智能电网诸多领域的需求和价值；
analysis of the needs and value of big data in many areas of intelligent grid;

开展战略研究，制定发展路线图；
strategic research and formulation of a development roadmap;

形成少量研究及应用成果。
a small amount of research and application results.

第二阶段是技术研发和示范应用阶段（2015-2020年）：
The second stage is the technology research and development and demonstration application stage (2015-2020):

首先在一些热点领域开展大数据研究和应用开发，
firstly, big data research and application development is carried out in some hot areas,

使得大数据的应用价值得以部分展现，
so that the application value of big data can be partially demonstrated,

得到一定程度的认同，激励更多的结构、组织和个人
gain a certain degree of recognition, and stimulate more structures, organizations and individuals

加入到智能电网大数据研究中。
to join the big data of intelligent grid research.

与此同时，在各行各业大数据应用驱动线，
At the same time, in various industries, big data applications drive the line,

大数据理论和相关技术得到快速发展，
big data theory and related technologies have been rapidly developed,

进一步带动智能电网大数据发展，
further driving the development of big data of intelligent grid,

使大数据在智能电网发展中逐步发挥出重要作用。
so that big data gradually play an important role in the development of intelligent grid.

第三阶段是技术提升和大规模技术部署阶段（2021-2030年）：
The third stage is technology upgrading and large-scale technology deployment (2021-2030):

大数据的研究和实践将反向推动智能电网互操作性的全面实现，
the research and practice of big data will reverse the full realization of intelligent grid interoperability,

使智能电网内部数据可全景获取，
so that the internal data of the intelligent grid can be obtained in a panoramic manner,

在完善的监管机制下可获得更多的外部数据，
more external data can be obtained under a sound regulatory mechanism,

实现内外部数据全面融合，
the full integration of internal and external data can be realized,

数据的完整性、准确性得到大幅提升。
and the integrity and accuracy of data can be greatly improved.

智能电网大数据的理论和技术体系基本形成，
The theoretical and technical system of big data of intelligent grid is basically formed,

形成智能电网大数据全景全域全过程的解决方案，
and the solution of the whole domain and process of big data of intelligent grid panorama is formed,

数据作为战略资源的价值全面体现。
and the value of data as a strategic resource is fully realized.

让我们谈谈一些建议。
let's talk about some recommendations.

目前我们正处于智能电网大数据研究与应用的第二个发展阶段，
At present, we are in the second stage of development of big data of intelligent grid research and application,

是整个发展过程中最为重要的一个阶段。
which is also the most important stage of the whole development process.

了推动智能电网大数据研究逐步走向深入和广泛，
In order to push big data of intelligent grid research towards depth and breadth,

需推进以下几方面的工作。
the following aspects need to be advanced.

（1）围绕大数据立法，加快法律法规建设。
(1) Speed up the construction of laws and regulations around big data legislation.

建设开放标准，推动公共数据开放共享；
Build open standards to promote open sharing of public data;

构建数据资源交易机制和定价机制，
establish mechanisms for trading data resources and pricing mechanisms

促进行业数据规范交易；
to promote regulated trading of industry data;

制定专门条款，
and formulate special provisions to protect data resources involving state secrets,

保护涉及国家机密、
personal privacy and corporate secrets.

个人隐私和企业秘密的数据资源。
personal privacy and corporate secrets.

（2）基于信息物理系统理论，
(2) Based on the theory of information physical systems,

重新审视智能电网的发展目标
re-examine the development goals of the intelligent grid

及其对系统互操作的要求，
and its requirements for system interoperability,

升级优化当前电网的信息通信系统，
upgrade and optimize the current information communication system of the grid,

为智能电网全量数据的获取创造条件。
and create conditions for the acquisition of the full amount of data of the intelligent grid.

（3）提高数据准确性和完整性，建立数据可信性评价体系。
(3) Improving data accuracy and completeness and establishing a system for evaluating data credibility.

（4）推进智能电网大数据的理论研究，
(4) To promote theoretical research on big data of intelligent grid ,

探索新理论和新方法，
explore new theories and methods,

建立包含认识论、方法论和数学物理基础的
establish a intelligent grid theoretical system that

智能电网理论体系，
includes epistemological, methodological and mathematical-physical foundations,

形成可指导智能电网大数据应用开发的系统方法。
and form a systematic approach that can guide the development of big data of intelligent grid applications.

（5）建立智能电网大数据应用效果检测
(5) Establishing a system for monitoring and evaluating the effectiveness of

和价值评价体系。
big data of intelligent grid applications.

（6）培养智能电网大数据的研究队伍，
(6) Cultivate big data of intelligent grid research teams,

设置专岗负责数据管理和专题分析工作，
set up special posts for data management and thematic analysis,

注重大数据团队人才培养。
and Pay attention to the talent training of big data

可以看到，大数据给人们带来了新的认知和能力，
It can be seen that big data brings new cognition and capabilities to people,

而智能电网大数据的发展必将
and the development of big data of intelligent grid will certainly

对智能电网的完善化发展产生更为深远的影响。
have a more far-reaching impact on the development of intelligent grid perfection.

本节课到此结束
Okay, that's all for this lecture.

这是BDSG的最后一堂课，我希望你们都能得到一些有用的信息。
This is the last lecture of BDSG I hope all of you can be able to get some useful Information.

我真的希望你能在这门课程结束后和我交流。
I really hope that you can talk with me after this course.

谢谢。
Thank you.