基于贝叶斯理论优化生物质循环流化床锅炉设计论述

Discussion on Optimization of Biomass Fuels Circulating Fluidized Bed Boiler Design Based on Bayesian Theory

贝叶斯理论是一种可以通过条件概率来计算目标概率的推测方法,为人工智能和算法领域的核心理论,已在医疗检测、人脸识别、语音翻译转化纠错等方面具有突出贡献。现将该理论应用在循环流化床生物质锅炉设计工作,由于生物质燃料来源广、成分复杂、热值差别大等因素,使得生物质循环流化床锅炉具有特殊的技术特点。基于此,通过贝叶斯理论对生物质燃料的特性分析,并指导生物质循环流化床锅炉设计工作,解决预期存在的问题及预判相应的防范措施。

Bayesian theory is a kind of conjecture method that can calculate the target probability through conditional probability,which is the core theory in the field of artificial intelligence and algorithm.It has made outstanding contributions to medical detection,face recognition,speech translation and error correction.Now,the theory is applied to the design of CFB biomass fuels boiler.Because of the wide source of biomass fuel,complex composition,big difference in calorific value and other factors,the biomass CFB boiler has special technical characteristics.Based on this,the characteristics of biomass fuel are analyzed by Bayesian theory,and the design work of biomass circulating fluidized bed boiler is guided to solve the expected problems and predict the corresponding preventive measures.