基于大数据的电力环保数据平台建设

针对火电环保领域海量的环保数据无法高度利用问题，本文采用大数据、人工智能和机器学习等信息技术，构建国家能源集团的基于大数据的火电厂智慧环保平台，结合龙源环保公司脱硫、脱硝系统方面的专业技术和优化运行模型，将海量的脱硫脱硝等环保数据全部纳入管理，对电厂开展了深层挖掘数据使用价值的研究。建设覆盖公司全管理领域和业务领域的智慧环保大数据平台，打造集数据采集、数据处理、监测管理、预测预警、优化运行、深度分析于一体的大数据中心。实现火电厂环保岛系统的智能控制和智慧管控，提升公司脱硫脱硝系统专业化服务能力和智慧化服务水平。本文以北京国电龙源环保工程有限公司为例，进行了环保数据平台建设，实现设备的全生命周期管理，帮助运维负责人员实现对企业环保资产的有效管理。

The Construction of Power Environmental Protection Platform Based on big Data

Aiming at the problem that the huge amount of environmental protection data in the field of thermal power environmental protection can not be highly utilized, this paper adopts information technology such as big data, artificial intelligence and machine learning to construct the intelligent environmental protection platform of thermal power plant based on big data of National Energy Group, and combines the professional technology and optimized operation of desulfurization and denitrification system of Longyuan Environmental Protection Company. In this model, a large amount of environmental protection data, such as desulfurization and denitrification, are integrated into the management, and the use value of deep mining data is studied for power plants. We will build a large intelligent environmental data platform covering the company''s full management and business areas, and build a large data center that integrates data collection, data processing, monitoring and management, prediction and early warning, optimized operation and in-depth analysis. Intelligent control and intelligent control of environmental protection island system in thermal power plant are realized, and professional service ability and intelligent service level of the company''s desulfurization and denitrification system are improved. This paper takes Beijing Guodian Longyuan Environmental Protection Engineering Co., Ltd. as an example, carries out the construction of environmental protection data platform, realizes the whole life cycle management of equipment, and helps the personnel in charge of operation and maintenance to realize the effective management of enterprises''environmental protection assets.