扬州大学学报(自然科学版)2024,Vol.27Issue(4) :72-78.DOI:10.19411/j.1007-824x.2024.04.009

实验室废水超声与生化协同智控处理系统

Ultrasound and biochemical synergistic intelligent control treatment system for laboratory wastewater

王梦豪 周骥平 白向玉 徐钟林
扬州大学学报(自然科学版)2024,Vol.27Issue(4) :72-78.DOI:10.19411/j.1007-824x.2024.04.009

实验室废水超声与生化协同智控处理系统

Ultrasound and biochemical synergistic intelligent control treatment system for laboratory wastewater

王梦豪 1周骥平 2白向玉 3徐钟林4
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作者信息

  • 1. 扬州大学机械工程学院,江苏 扬州 225127
  • 2. 扬州大学机械工程学院,江苏 扬州 225127;扬州大学实验室环保与智能装备研究所,江苏 扬州 225127
  • 3. 中国矿业大学环境与测绘学院,江苏 徐州 221000
  • 4. 江苏科仕达实验室环保科技有限公司,江苏 扬州 225127
  • 折叠

摘要

针对实验室废水处理中存在的处理流程单一固定、耗时长、大分子有机物难以处理的问题,设计一种集储水、废水处理、加药调节、废气处理及智能控制于一体的实验室废水处理系统.依托传感检测技术,按照化学需氧量(chemical oxygen demand,COD)和 pH 值大小将废水分为 4 种状态,在此基础上,智能选择由不同工艺模块组合而成的处理流程,提高废水处理效率.为了进一步缩短废水处理时间,对大分子、难降解有机物采用超声与生化协同处理方案.试验表明,与单一生化处理相比,超声与生化协同处理时废水中难降解有机物去除率可提高 18.84%,COD去除率为 87.67%,达到城镇下水道水质标准的要求.研究结果初步检验了实验室废水智控处理系统的有效性,为实验室实现无废排放提供了有益的尝试.

Abstract

Addressing the issues of monotonous and fixed treatment processes,lengthy duration,and difficulties in treating macromolecules in laboratory wastewater treatment,a comprehensive system has been devised,integrating water storage,wastewater treatment,chemical dosing and adjustment,waste gas treatment,and intelligent control.This system categorizes the wastewater into four states based on chemical oxygen demand(COD)and p H levels,allowing for the selection of tailored combinations of treatment process modules,thereby enhancing treatment efficiency.Furthermore,the integration of ultrasonic and biochemical treatments is implemented to expedite the treatment process of laboratory wastewater.Experimental results from ultrasonic and biochemi-cal tests demonstrate an improvement of 18.84%in the removal rate of refractory organic com-pounds,alongside a COD removal rate of 87.67%,meeting the requirements of the urban sewage quality standard.The results preliminarily validates the effectiveness of this intelligent control treatment system,which provides a beneficial attempt towards achieving zero-waste discharge in la-boratory settings.

关键词

智能控制/超声裂解/生化处理/实验室综合废水/传感检测

Key words

intelligent control/ultrasonic lysis/biochemical treatment/laboratory comprehensive wastewater/sensing detection

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基金项目

江苏省产学研合作项目(BY20230485)

江苏省研究生科研创新实践项目(KYCX23_3529)

出版年

2024
扬州大学学报(自然科学版)
扬州大学

扬州大学学报(自然科学版)

影响因子:0.473
ISSN:1007-824X
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