棉纺织技术2024，Vol.52Issue(6)：69-74,6.
纺纱空调系统运行仿真及机器学习辅助调控
Simulation of spinning air conditioner system operation and machine learning assisted regulation
吴清贵 1韩云龙 1陆彪 1高杰 2汪虎明2
作者信息
- 1. 安徽工业大学,安徽马鞍山,243032
- 2. 江苏精亚环境科技有限公司,江苏无锡,214426
- 折叠
摘要
Abstract
Aiming at the instability of temperature&humidity in spinning workshop controlled by traditional PID,BP neural network based on machine learning was used to supervise and learn the background historical data,an expert database of automatic control parameters of air conditioner equipment was established.When PID control results in large temperature&humidity fluctuations,air conditioner control parameters established by the information database were directly involved in auxiliary control.Based on heat balance,moisture balance and air balance,spinning air conditioner simulation system was developed.The influence of fan,water pump,secondary return air window and fresh air window on temperature&humidity control in workshop was analyzed.In order to verify the effect of auxiliary control,the temperature&humidity in the workshop were compared with that of the traditional PID control when the air conditioning control parameters predicted by BP neural network were involved in the control.The results showed that the stability of temperature&humidity in workshop was better than that of traditional PID control when BP neural network was used to control the parameters of air conditioner system.It is considered that machine learning assisted control of spinning air conditioner system can achieve stable control of temperature&humidity.关键词
纺纱空调/PID控制/机器学习/BP神经网络/车间温湿度Key words
spinning air conditioner/PID control/machine learning/BP neural network/temperature&humidity in workshop分类
轻工纺织引用本文复制引用
吴清贵,韩云龙,陆彪,高杰,汪虎明..纺纱空调系统运行仿真及机器学习辅助调控[J].棉纺织技术,2024,52(6):69-74,6.
