节点文献
基于物联网及PLC技术的造纸水污染全过程控制方法研究
Research on the Whole Process Control Method of Papermaking Water Pollution Based on Internet of Things and PLC Technology
【摘要】 造纸工业是国家经济支撑企业之一,其产生的废水也是污染水环境的关键来源之一。造纸废水需要经过一定的处理才能正常排放,这对水污染控制提出了更高的要求。为了提升水环境质量,提出基于物联网及PLC技术的造纸水污染全过程控制方法研究。深入分析造纸水污染特征,以此为基础,确定造纸水污染生物处理工艺,并对废水处理过程中控制要点进行建模处理,引入物联网技术构建造纸水污染管理平台,以控制要点模型为基础,以构建平台为辅助,以PLC技术为核心,制定造纸水污染全过程控制程序,执行制定程序即可实现造纸水污染全过程控制。实验结果显示:应用提出方法获得pH值与DO浓度数值调节时间最小值分别为2s与1.2s,pH值与DO浓度数值超调量最小值分别为3.6%与3%,充分证实了提出方法具备更好的应用效果。
【Abstract】 The paper industry is one of the national economic support enterprises,and the wastewater generated by it is also one of the key sources of polluting the water environment. Papermaking wastewater can only be discharged normally after certain treatment,which puts forward higher requirements for water pollution control. In order to improve the quality of water environment,the research on the whole process control method of papermaking water pollution based on Internet of Things and PLC technology is proposed. Deeply analyze the characteristics of papermaking water pollution,on this basis,determine the biological treatment process of papermaking water pollution,model and treat the control points in the wastewater treatment process,introduce the Internet of Things technology to build a papermaking water pollution management platform,and develop the whole process control program of papermaking water pollution based on the model of control points,assisted by the construction platform,and centered on PLC technology. The whole process control of papermaking water pollution can be realized by implementing the established procedures. The experimental results show that the minimum values of pH value and DO concentration numerical adjustment time obtained by the proposed method are 2s and1. 2s respectively,and the minimum values of pH value and DO concentration numerical overshoot are 3. 6% and 3% respectively,which fully confirms that the proposed method has better application performance.
【Key words】 PLC technology; paper industry; whole process control; industrial Internet of Things; water pollution; intelligent control;
- 【文献出处】 造纸科学与技术 ,Paper Science & Technology , 编辑部邮箱 ,2023年02期
- 【分类号】X793
- 【下载频次】10