不饱和聚酯树脂高浓度废水共沸精馏资源化与治理技术

针对不饱和聚酯树脂生产高浓度废水的特点,采用新型共沸精馏技术进行资源化预处理。实验结果表明,共沸精馏几乎将废水中的原料、聚合中间体等有机物全部浓缩于釜液中,釜底浓缩液COD可高达120万mg／L左右,有机物回收率达93％～96％。将COD约120万nq-g／L的釜液以20％比例投入不饱和聚酯树脂合成反应中,制得了一种新型高性能树脂,且树脂的得率由常规生产的93．4％提高至99．77％。对与共沸剂分离后的COD约为1万mg／L的馏出液采用新型多技术协同催化氧化技术进行预处理,使废水B／C由0．021提高至0．3以上;再采用EGSB＋MBBR生化处理和活性炭吸附深度处理,出水可稳定达标排放,并能满足循环冷却水要求。     

建设有中国特色的再生资源回收利用体系

分析了我国再生资源回收利用工作的现状,借鉴发达国家的先进经验,提出建设我国再生资源回收利用体系的基本框架,以及发展我国再生资源产业的政策建议。指出建设具有中国特色的再生资源回收利用体系是推动再生资源产业成为新的经济增长点的前提和保障。     

基于水资源再利用的自动蓄水循环系统

提出一种居民家庭自动蓄水循环系统和二次循环水利用及新型概念房的构想。通过错过夏天用水高峰时段,合理利用夜晚水压进行水箱日常用水的自动补给。中水回用和雨水收集使得在概念房的有限面积内达到最大的水循环利用效率。     

废旧聚乙烯复合材料的制备与性能研究

介绍了废旧聚乙烯复合材料的制备与性能。以废旧聚乙烯为原材料,通过与超细白炭黑进行纳米复合,制备高性能纳米复合材料;利用木粉、竹粉、稻糠等植物纤维与其进行木塑复合,制备环保型木塑复合材料;重点研究了多单体接枝共聚物在复合材料中的界面改性作用。     

天津市餐厨垃圾回收现状与对策

餐厨垃圾是一种具有较高再生利用价值的资源,但是处置不当会给社会造成危害。天津市餐厨垃圾的回收包括规范化的再生资源回收企业回收、以养猪和炼制餐厨再生食用油为目的的非法回收商贩回收、城市普通生活垃圾收集处理系统回收等三种形式。以源头单独集中、清洁化单独收运、无害化处理和资源化利用为指导原则,开展城市餐厨垃圾的规范化回收符合发展循环经济的根本要求。从加强宣传教育、加大食用油监管力度、健全行政监管体系、完善餐厨垃圾规范化收集网络等角度,提出推动天津市餐厨垃圾回收规范化发展的对策。     

充满生机、前景广阔的再生资源产业

近年来,再生资源产业发展迅速,显示了其广阔的发展前景。以汨罗市再生资源产业发展为例,探讨再生资源产业广阔的发展前景。     

老港生活垃圾填埋场垃圾组成和资源化价值研究

在上海老港生活垃圾填埋场,对1991～2004年间填埋垃圾进行了小规模开采和手工分选,考察了填埋垃圾组成随填埋年份的变化规律.分选结果表明:在缺氧和避光的封场环境中,填埋垃圾中塑料、橡胶和化纤织物组分在未发生明显老化,经简单预处理后即可再生利用;以塑料为主的有机组分随填埋年份呈对数上升趋势,2010年将占填埋垃圾的50%以上.因此,焚烧和气化热处理工艺将是填埋垃圾资源化的理想选择之一.     

Penetration analysis of elements and bioleaching treatment of spent refractory for recycling

Acidithiobacillus ferrooxidans ATCC23270 and Acidithiobacillus thiooxidans TM-32 were used for bioleaching of spent refractories of aluminium and copper melting furnaces for their recycling.Firstly,penetration of elements into aluminium melting furnace refractory was investigated and it was found that up to 7 cm from surface was contaminated.Comparison on leaching efficiency by the strains ATCC23270 and TM-32 found that the strain ATCC23270 could treat larger amount of the refractories than the strain TM-32 could do.In the experiment of bioleaching of spent refractory aluminium melting furnace by the strain ATCC23270,high leaching efficiency were obtained on Al,Si,and Ca,and extremely low leaching performance was,however,shown on the rest of elements i.e.,Na,Mn,and Zn.Under the strain TM-32 use,relatively high leaching performance was recognized on Al,Si,Ca,Na,Mn,and Zn.In the experiment of bioleaching for spent refractory copper melting furnace,almost the same leaching trends were shown on Cu,Zn,Al,and Si under the strains ACTT23270 and TM-32 uses.     

基于人工神经网络的火灾图象探测方法

提出了一种新型的火灾探测方法,基于ＢＰ神经网络的火灾图象探测方法。该方法利用了早期火灾火焰的形体变化特性,用图象处理的方法提取特征信息,最后利用人工神经网络来进行火灾判,别。     

Software sensor design based on empirical data

Software sensor design consists of building an estimate of some quantity of interest. This estimate can be used either to replace a physical measurement, or to validate an existing one. This paper provides some general guidelines for the design of software sensors based on empirical data. When the model is a priori unknown, the problem can be stated in terms of non-parametric regression or black-box modelling. Complexity control is the main difficulty in this setting. A trade-off must be achieved between two antagonist goals: the model should not be too simple, and model identification should not be too variable. We propose to address this issue by a penalization algorithm, which also estimates the relevance of input features in the identification process. A data-driven software sensor should also provide accuracy and validity indexes of its prediction. We show how these indexes can be estimated for complex non-parametric methods, such as neural networks. An application in environmental monitoring, the design of an ammonia software sensor, illustrates each step of the approach.