一种基于知识图谱的锅炉智能燃烧专家系统构建方法
A Construction Method of Boiler Intelligent Combustion Expert System Based on Knowledge Graph
钢铁行业的燃气锅炉由于受燃料的压力、热值、负荷变化的影响燃烧变得较为复杂,各参数之间又有较大的关联性,常规的控制系统无法实现全自动控制。为解决不同负荷切换过程中快速找到最优控制参数,并实现稳定燃烧,本文提出了一种基于知识图谱的锅炉智能燃烧专家系统构建方法。该方法利用了知识图谱中图结构数据高度关联的特性,快速定位当前工况下对应负荷的历史最佳控制参数,并通过最近邻算法和自寻优算法可以快速获得当前工况下最佳的空气流量和空燃比设定值。
The combustion of gas-fired boilers in the iron and steel industry becomes more complicated due to the influence of fuel pressure,calorific value,and load changes,and there is a large correlation between each parameter.Conventional control systems cannot achieve fully automatic control.In order to quickly find the optimal control parameters in the process of switching between different loads and achieve stable combustion,this paper proposes a construction method of boiler intelligent combustion expert system based on knowledge graph.This method takes advantage of the highly correlated nature of the graph structure data in the knowledge map to quickly locate the historical best control parameters for the corresponding load under the current working conditions,and quickly obtain the best control parameters under the current working conditions through the nearest neighbor algorithm and self-optimization algorithm.Air flow and air-fuel ratio setpoints.
龙清涵;杨铮;
河钢数字邯郸分公司,河北邯郸 056002;河钢数字邯郸分公司,河北邯郸 056002;
Knowledge Map Expert System Self-optimization Intelligent Combustion
263-268 / 6
评论