氧化锌法脱硫技术在回转窑烟气处理中的应用

湿法炼锌过程中产出的浸出渣,采用回转窑处理,排放的烟气SO2浓度峰值期间达不到国家颁布的最新排放标准。通过对烟气脱硫工艺的研究分析,并结合生产实际情况,最终采用了氧化锌法工艺处理回转窑烟气。该技术应用使回转窑烟气SO₂浓度降到400 mg/Nm³以下,达到国家铅锌行业最新排放标准。并且脱硫剂利用厂内生产过程的产生的烟尘,脱硫产物可返回其他工序回收锌,副产品可在厂内循环利用,无任何废弃物外排,不会造成二次污染。     

国与家之间：论上海里弄街区日常生活空间的断裂与统一

以当代城市普遍涌现的社会隔离现象为切入点,引出上海里弄街区中出现的毗邻隔离问题,并以此展开毗邻隔离与居住混合辩证关系的论述。指出,物理空间的接近并不能带来社会层面的混合。在对历史向度的里弄变迁进行梳理之后,选取虹口港里弄街区的日常生活空间作为研究对象。通过对社区认知边界的测定和生活空间利用模式的分析,对里弄街区中有关"三个世界"的日常生活空间异化与毗邻隔离展开讨论。最后,在明确日常生活空间社会意义的基础上,从国与家两个维度对社区融合视角下的日常生活空间组织做出总结。认为基于物质层面的日常生活空间维系,与社会层面的社区参与和居民赋权,是当前语境下上海里弄街区修补毗邻隔离问题,实现公共空间统一的必由之路。     

大港体育馆大跨度空间桁架施工技术

随着空间结构施工技术的发展,大跨度空间桁架的应用越来越广泛。大港体育馆结构为大跨度空间管桁架结构,根据工程的重点及特点制定相应的施工方案,掌握关键的技术要求,保证工程的施工进度。其中吊装方案、起重机械和支撑胎架的选择,对工程的进度、质量和费用影响重大,必须经过分析比较后选择最佳方案。同时,将大港体育馆96m跨桁架分成3个整体吊装段及2个弧形管柱段,弧形管柱直接利用汽车吊固定在支架上,其余吊装段依次吊装在临时支撑上,顺利完成整个桁架的吊装过程。     

钢筋混凝土烟囱设计优化及分析

通过对14座烟囱的分析和总结,得到石油炼制行业钢筋混凝土烟囱的特点;并对新版烟囱设计规范中的修订条文进行阐述和分析,用于烟囱的结构设计调整和优化;根据石油炼制行业烟囱的特点及新版规范,编制烟囱设计手册、模板图和标准图,达到提高设计效率的目的。     

基于ArcGIS的土方量计算与可视化

利用ArcGIS三维构面的特性,形象的构建地表、河道现状立体模型,同时根据场地、河道的设计标高,构建立体模型,然后选定统一参考面,计算两个模型到参考面的体积之差,可以快捷、准确地计算出挖填土方量。实践证明,这一算法较传统的根据等高线、高程点计算土方量的方法更加严密、准确、便捷。同时这一方法能根据要求灵活调整、分割土方计算区域,不需要对调整后的边界进行外业高程点数据处理就能快速实现分区域土方量计算。     

基于Ncut的自适应图像分割方法

为了解决传统归一化割(Normalized cut,Ncut)算法需要人工干预因素过多,限制了算法的通用性,本文对传统Ncut算法进行了改进,提出了自适应的图像分割方法。首先采用基团势的理论替代了传统的Ncut算法中计算权值矩阵时两个控制参数对结果的影响;然后为了减少K-means算法对分类数目和类中心的敏感,本文采用基于最小生成树的聚类方法对Ncut计算出的特征向量进行分类,得到最终的分类数目和初始类中心,然后再采用K-means算法进行聚类得到最终的分割结果。实验结果显示,本文的算法不仅提高了算法的通用性,并且分割效果比较好。     

Reconstructing the microstructure of polyimide–silicalite mixed‐matrix membranes and their particle connectivity using FIB‐SEM tomography

Properties of a composite material made of a continuous matrix and particles often depend on microscopic details, such as contacts between particles. Focusing on processing raw focused‐ion beam scanning electron microscope (FIB‐SEM) tomography data, we reconstructed three mixed‐matrix membrane samples made of 6FDA‐ODA polyimide and silicalite‐1 particles. In the first step of image processing, backscattered electron (BSE) and secondary electron (SE) signals were mixed in a ratio that was expected to obtain a segmented 3D image with a realistic volume fraction of silicalite‐1. Second, after spatial alignment of the stacked FIB‐SEM data, the 3D image was smoothed using adaptive median and anisotropic nonlinear diffusion filters. Third, the image was segmented using the power watershed method coupled with a seeding algorithm based on geodesic reconstruction from the markers. If the resulting volume fraction did not match the target value quantified by chemical analysis of the sample, the BSE and SE signals were mixed in another ratio and the procedure was repeated until the target volume fraction was achieved. Otherwise, the segmented 3D image (replica) was accepted and its microstructure was thoroughly characterized with special attention paid to connectivity of the silicalite phase. In terms of the phase connectivity, Monte Carlo simulations based on the pure‐phase permeability values enabled us to calculate the effective permeability tensor, the main diagonal elements of which were compared with the experimental permeability. In line with the hypothesis proposed in our recent paper (?apek, P. et al. (2014) Comput. Mater. Sci. 89 , 142–156), the results confirmed that the existence of particle clusters was a key microstructural feature determining effective permeability.     

Geometrical characterization of fluorescently labelled surfaces from noisy 3D microscopy data

Modern fluorescence microscopy enables fast 3D imaging of biological and inert systems alike. In many studies, it is important to detect the surface of objects and quantitatively characterize its local geometry, including its mean curvature. We present a fully automated algorithm to determine the location and curvatures of an object from 3D fluorescence images, such as those obtained using confocal or light‐sheet microscopy. The algorithm aims at reconstructing surface labelled objects with spherical topology and mild deformations from the spherical geometry with high accuracy, rather than reconstructing arbitrarily deformed objects with lower fidelity. Using both synthetic data with known geometrical characteristics and experimental data of spherical objects, we characterize the algorithm's accuracy over the range of conditions and parameters typically encountered in 3D fluorescence imaging. We show that the algorithm can detect the location of the surface and obtain a map of local mean curvatures with relative errors typically below 2% and 20%, respectively, even in the presence of substantial levels of noise. Finally, we apply this algorithm to analyse the shape and curvature map of fluorescently labelled oil droplets embedded within multicellular aggregates and deformed by cellular forces.     

基于图像预处理分类分割的盲道分割算法

高准确分割率的盲道分割算法是实现高性能导盲系统的重要保障. 提出一种基于颜色直方图支持向量机方法,将盲道预分类为颜色盲道或纹理盲道,采用对HSV颜色空间的多参数融合的改善OTSU分割方法处理颜色盲道分割,采用基于纹理增强的K均值聚类方法处理纹理盲道分割. 通过有效的预处理分类,可以针对性地根据盲道的颜色或纹理特征进行识别,同时由于采用了改善的颜色和纹理分割算法,极大地改善了对不同种类和环境下的盲道的适应能力. 测试证明,该方法对于测试库图片平均分割准确率可达到90%以上.     

在线钢坯喷号自动视觉检测系统设计

以在线生产的热钢坯标号为识别对象,设计了一套实时视觉检测系统.利用灰度面积滤波、改进Marr边缘提取算子、自动阈值等图像处理技术滤除干扰,完成字符提取;通过投影法得到单个字符;并且引入距离变换的思想对模板匹配法进行改进,能更加准确地识别标号.视觉系统还利用无线技术进行数据传输.实验结果表明该检测系统是有效可行的,在识别准确率上近98%,每块钢坯的识别时间约1.5 s,能满足生产线需要.