基于分质回用的印染生产过程节水方法

周律; 徐昆; 邱照景

doi:10.16511/j.cnki.qhdxxb.2017.26.018

PDF(1431 KB)

清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (3) : 331-336. DOI: 10.16511/j.cnki.qhdxxb.2017.26.018

环境科学与工程

基于分质回用的印染生产过程节水方法

周律, 徐昆, 邱照景

作者信息 +

Water conservation approaches in printing and dyeing production processes based on wastewater treatment and graded reuse

ZHOU Lu, XU Kun, QIU Zhaojing

Author information +

文章历史 +

摘要

针对目前棉针织印染生产废水回用率低的问题，结合间歇式生产及排放废水水质、水量变化大等特征，建立了企业级数据库管理系统。数据库基于企业原有信息采集系统，并采用实时并行运算技术分析数据，利用COD浓度、电导率等指标对企业废水进行分类排放与回收来实现水资源调度。以企业实际订单生产的排水为分析对象，通过对废水的调度及回用，实现了总废水排放量的减少和废水回用率的提高。对国内某典型棉针织印染企业进行案例研究，结果表明：该系统可以减少38.72%的生产耗水，节水效益显著，同时能够降低排放废水的水质和水量波动，为后续水处理工艺稳定运行起到了良好的作用。

Abstract

A water conservation database was developed to improve the wastewater reuse rate in printing and dyeing production for batch production processes having drastic fluctuations in wastewater flowrate and pollutant concentrations. The water conservation data was analyzed using a real-time parallel computations based on the textile company's information collection system. The wastewater quality parameters such as the chemical oxygen demand (COD) and conductivity were monitored during wastewater treatment to evaluate the reuse potential for water resource management. A scheduling and reuse system using the production processes as the analysis object was developed to improve the total wastewater discharge and reuse rates. A typical knit cotton dyeing enterprise was used for a case analysis. The results show that the system reduces water consumption by 38.72% and also reduces the quality fluctuations and wastewater flowrate. This has a positive effect on the operating stability of the water treatment processes.

导出引用

周律, 徐昆, 邱照景. 基于分质回用的印染生产过程节水方法[J]. 清华大学学报（自然科学版）. 2017, 57(3): 331-336 https://doi.org/10.16511/j.cnki.qhdxxb.2017.26.018

ZHOU Lu, XU Kun, QIU Zhaojing. Water conservation approaches in printing and dyeing production processes based on wastewater treatment and graded reuse[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(3): 331-336 https://doi.org/10.16511/j.cnki.qhdxxb.2017.26.018

中图分类号： X703.1

参考文献

"[1] Verma A, Dash R, Bhunia P. A review on chemical coagulation/flocculation technologies for removal of colour from textile wastewaters[J]. Journal of Environmental Management, 2012, 93(1):154-168. [2] Babu B, Parande A, Raghu S. An overview of wastes produced during cotton textile processing and effluent treatment methods[J]. The Journal of Cotton Science, 2007, 11(1):110-122. [3] JIANG Wei, YUAN Zengwei, BI Jun, et al. Conserving water by optimizing production schedules in the dyeing industry[J]. Journal of Cleaner Production, 2010, 18(16):1696-1702. [4] 翟明玉, 王瑾, 吴庆曦, 等. 电网调度广域分布式实时数据库系统体系架构和关键技术[J]. 电力系统自动化, 2013, 37(2):67-71. ZHAI Mingyu, WANG Jin, WU Qingxi, et al. System architecture and key technology of power grid dispatching wide-area distributed real-time database[J]. Automation of Electric Power Systems, 2013, 37(2):67-71. (in Chinese) [5] 杜久升, 王莉, 侯争, 等. 露天矿卡车调度系统数据库设计与实现[J]. 金属矿山, 2015(9):105-111. DU Jiusheng, WANG Li, HOU Zheng, et al. Design and realization of database for open-pit truck dispatching system[J]. Metal Mine, 2015(9):105-111. (in Chinese) [6] 彭晖, 陶洪铸, 严亚勤, 等. 智能电网调度控制系统数据库管理技术[J]. 电力系统自动化, 2015, 39(1):19-25. PENG Hui, TAO Hongzhu, YAN Yaqin, et al. Database management technology of the smart grid scheduling control system[J]. Automation of Electric Power Systems, 2015, 39(1):19-25. (in Chinese) [7] 林子雨, 赖永炫, 林琛, 等. 云数据库研究[J]. 软件学报, 2012, 25(5):1148-1166. LIN Ziyu, LAI Yongxuan, LIN Chen, et al. Research on cloud databases[J]. Journal of Software, 2012, 25(5):1148-1166. (in Chinese) [8] 郭晴, 杨海霞, 刘永泰. 云计算环境下的复杂数据库并行调度模型仿真[J]. 计算机仿真, 2015, 32(6):360-363. GUO Qing, YANG Haixia, LIU Yongtai. Simulation of parallel scheduling for complex database under cloud computing environment[J]. Computer Simulation, 2015, 32(6):360-363. (in Chinese) [9] 妙旭华, 包理群, 曹博. Memcache在涉重金属污染数据库系统开发中的应用[J]. 自动化与仪器仪表, 2014(6):137-139. MIAO Xuhua, BAO Liqun, CAO Bo. The application of Memcache on heavy metal pollution database system development[J]. Automation & Instrumentation, 2014(6):137-139. (in Chinese) [10] 余勤飞, 侯红, 许亚飞, 等. 基于数据库的污染场地流程管理初步设计[J]. 环境污染与防治, 2013, 35(8):39-44. YU Qinfei, HOU Hong, XU Yafei, et al. The preliminary design of process management of contaminated sites based on database[J]. Environmental Pollution & Control, 2013, 35(8):39-44. (in Chinese) [11] 许亚飞, 余勤飞, 毕如田, 等. 发达国家污染场地数据库系统建设及其对我国的借鉴[J]. 环境工程技术学报, 2013, 3(5):458-464. XU Yafei, YU Qinfei, BI Rutian, et al. Overview of contaminated sites database system construction in developed countries and the revelation to China[J]. Journal of Environmental Engineering Technology, 2013, 3(5):458-464. (in Chinese) [12] 耿润哲, 王晓燕, 段淑怀, 等. 基于数据库的农业非点源污染最佳管理措施效率评估工具构建[J]. 环境科学学报, 2013, 33(12):3292-3300. GENG Runzhe, WANG Xiaoyan, DUAN Shuhuai, et al. A tool for estimating best management practices effectiveness for agricultural non-point source pollution control based on the MS ACCESS[J]. Acta Scientiae Circumstantiae, 2013, 33(12):3292-3300. (in Chinese) [13] 王慧亮, 李叙勇, 解莹. 基于数据库支持的非点源污染模型LSPC及其应用[J]. 环境科学与技术, 2011, 34(12):206-211. WANG Huiliang, LI Xuyong, XIE Ying. Application of LSPC-A non-point source pollution model based on a database supporting architecture[J]. Environmental Science & Technology, 2011, 34(12):206-211. (in Chinese) [14] Müller A, Schulz W, Ruck W, et al. A new approach to data evaluation in the non-target screening of organic trace substances in water analysis[J]. Chemosphere, 2011, 85(8):1211-1219. [15] Fernández C, Larrechi M, Callao M. An analytical overview of processes for removing organic dyes from wastewater effluents[J]. TrAC Trends in Analytical Chemistry, 2010, 29(10):1202-1211. [16] 崔跃生, 张勇, 曾春, 等. 数据库物理结构优化技术[J]. 软件学报, 2013, 24(4):761-780. CUI Yuesheng, ZHANG Yong, ZENG Chun, et al. Database physical structure optimization technology[J]. Journal of Software, 2013, 24(4):761-780. (in Chinese)"

PDF(1431 KB)

Accesses

Citation

Detail

段落导航

收稿日期	出版日期
2016-05-05	2017-03-15
发布日期
2017-03-15

选择文件类型/文献管理软件名称

选择包含的内容

摘要

Abstract

关键词

Key words

引用本文

{{custom_sec.title}}

{{custom_sec.title}}

参考文献

访问统计

模态框（Modal）标题

选择文件类型/文献管理软件名称

选择包含的内容

摘要

Abstract

关键词

Key words

引用本文

{{custom_sec.title}}

{{custom_sec.title}}

参考文献

访问统计