摘要
针对国内火电厂循环冷却自动加药装置普遍存在参数单一、无法实时监测等问题,设计了多参数监测的新型循环冷却水智能加药系统:在传统检测参数的基础上,通过动态模拟实验,提出表征水质的新型核心参数pH值、电导率和ORP,并建立相关数学模型;设计模拟换热装置,优化模糊自适应控制算法,建立专家诊断系统.实际运行结果表明:本方案工作速度快、智能化程度高,可以根据系统的水质特点和运行状况,给出最佳加药方案,与传统加药装置相比,可减少药剂成本25%,节约水资源31%,降低能耗20%,大大提高了电厂的经济效益.
Aiming at the common problems that automatic dosing device for circulating cooling water in the field of heat-engine plant in China had a single parameter and was unable to real-time monitoring,a new intelligent dosing system for circulating cooling water basis on multi-parameters was designed. A group of new core parameters were proposed by the dynamic simulation experiments on the basis of traditional detection parameters,such as pH,electrical conductivity,and ORP,and at the same time,the mathematical model was established. The simulated-heat-exchanger was designed which could optimize the self-adapted fuzzy control algorithm and establish the expert diagnosis system. The result of running this system showed that it had high efficiency and intelligence,and could give the optical dosing scheme according to water quality and operation status compared with traditional dosing system,it could reduce the drug cost 25%,save water31%,and reduce the energy consumption 20%,which improved the economic benefit greatly.
出处
《郑州轻工业学院学报(自然科学版)》
CAS
2014年第4期61-65,共5页
Journal of Zhengzhou University of Light Industry:Natural Science
基金
国家自然科学基金项目(60773122)
关键词
循环冷却水
复合参数
模糊自适应
专家诊断系统
circulating cooling water
multi-parameter
self-adapted fuzzy
expert diagnosis system