摘要
中国电力供应长期以火电为主,火电厂燃煤锅炉作为煤耗大户,是污染物排放的重点控制对象。污染物排放监测是软件传感器有效实现的重要应用之一。主要目的是解决开发用于监测大型火力发电厂污染物排放的智能软件传感检测设备的相关问题。证明智能软件传感器作为火力发电厂污染物排放监测系统的核心部分替代传统检测设备的潜力。并以中国内蒙古地区一座火电厂的4.8兆瓦发电机组作为试点开展了相应的研究工作。解决在进行污染物的监测过程当中基于神经软件传感器所建立起的各种问题。
Electricity supply has been powered by thermal power for a long time in China.Coal-fired energy in thermal power plants is a major coal consumer and a key target for coal emissions control.Coal emission monitoring is one of the important applications for the effective development of software sensors.The main goal is to monitor and solve the problem of intelligent software sensing and detecting equipment for energy emissions of large thermal power plants.It also prove the potential of the software sensor as the core part of the related emission monitoring system of thermal power plant to replace the detection equipment.The 4.8 MW generator set was taken as a research object to solve various problem encountered during the pollution monitoring process.
作者
郑耀东
Zheng Yaodong(SPIC Nei Mongol Energy Co., Ltd., Chifeng 028000, China)
出处
《环境科学与管理》
CAS
2021年第7期132-136,共5页
Environmental Science and Management
关键词
软件传感器
神经网络
污染物排放
电厂
software sensors
neural networks
pollutant emissions
power plant