STUDY ON SIMULATION OF HEIGHT DETECTION FOR DENSE PHASE ZONE ON CFB BASED ON BP NEURAL NETWORK

JIANG Zhiwei; WANG Xifen College of Materials and Metallurgy

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STUDY ON SIMULATION OF HEIGHT DETECTION FOR DENSE PHASE ZONE ON CFB BASED ON BP NEURAL NETWORK

更新时间：2025-09-28

- STUDY ON SIMULATION OF HEIGHT DETECTION FOR DENSE PHASE ZONE ON CFB BASED ON BP NEURAL NETWORK
- Thermal Power Generation Vol. 41, Issue 5, Pages: 36-38(2012)
- 作者机构：
  
  武汉科技大学材料与冶金学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK229.6
- Published：2012
- 稿件说明：
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JIANG Zhiwei, WANG Xifen College of Materials and Metallurgy. STUDY ON SIMULATION OF HEIGHT DETECTION FOR DENSE PHASE ZONE ON CFB BASED ON BP NEURAL NETWORK[J]. Thermal power generation, 2012, 41(5): 36-38.
DOI：

JIANG Zhiwei, WANG Xifen College of Materials and Metallurgy. STUDY ON SIMULATION OF HEIGHT DETECTION FOR DENSE PHASE ZONE ON CFB BASED ON BP NEURAL NETWORK[J]. Thermal power generation, 2012, 41(5): 36-38. DOI：

摘要

基于BP神经网络算法对循环流化床(CFB)锅炉密相区高度检测进行了模拟研究。结果表明

当系统内气体介质光学厚度为38时

该算法的计算值与真实值非常接近;随着光学厚度的增加

计算误差也逐渐增大

当光学厚度达到75时

计算值与真实值相差较大

这是由于光学探测器(CCD)的检测精度降低所致。

Abstract

Study on simulation of height detection for dense phase on circulating fluidized bed(CFB) based on BP neural network has been carried out

the results show that the values calculated by using the said algorithm was very close to the true values when the optical thickness of gas medium in the system was less than 38

along with increasing the optical thickness

calculation error also gradually goes up;when the optical thickness reached to 75

the calculated values were greatly deviated from the true values

this is due to decreasing in detection precision of used optical detector.

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