基于高斯过程机器学习算法的矿柱稳定性分析

矿柱是地下矿山支撑顶板围岩、维持采场稳定的关键结构要素。为迅速准确地判别矿柱稳定性,选取矿柱宽度、矿柱高度、矿柱宽高比、矿岩单轴抗压强度和矿柱承受载荷作为影响指标,利用高斯过程机器学习算法建立矿柱状态与其主要影响因素之间的非线性映射关系,进而提出一种基于高斯过程二元分类(GPC)的矿柱状态识别模型。结合工程实例,以40组样本数据进行训练,以10组样本数据对该模型进行检验,并与ANN和SVM进行对比。结果表明,矿柱状态识别的高斯过程模型是科学可行的,该模型具有参数自适应化获取、分类精度高、计算复杂度低等优点,还可对矿柱状态判别结果的不确定性或可信度进行定量化评价。     

Experimental study on leak detection and location for gas pipeline based on acoustic method

The leak of gas pipelines can be detected and located by the acoustic method. The technologies of recognizing and extracting wave characteristics are summarized in details in this paper, which is to distinguish leaking and disturbing signals from time and frequency domain. A high-pressure and long distance leak test loop is designed and established by similarity analysis with field transmission pipelines. The acoustic signals collected by sensors are de-noised by wavelet transform to eliminate the background noises, and time-frequency analysis is used to analyze the characteristics of frequency domain. The conclusion can be drawn that most acoustic signals are concentrated on the ranges of 0-100 Hz. The acoustic signal recognition and extraction methods are verified and compared with others and it proves that the disturbing signals can be efficiently removed by the analysis of time and frequency domain, while the new characteristics of the accumulative value difference, mean value difference and peak value difference of signals in adjacent intervals can detect the leak effectively and decrease the false alarm rate significantly. The formula for leak location is modified with consideration of the influences of temperature and pressure. The positioning accuracy can be significantly improved with relative error between 0.01% and 1.37%.     

福州第二水源山仔水库营养类型的判定及变化趋势分析

对1998～2002年山仔水库监测数据．运用属性识别方法进行评价分析,其结果表明,这5年来湖泊富营养化程度有明显减弱的趋势,但1998年水体达极富营养状态．在2001年后水质有明显好转。通过判定该水库5年的营养状态,分析其变化趋势．可找出引起富营养化的原因。     

基于属性识别理论的城市生态安全评价——以广州市为例

城市生态安全评价可以使管理者和公众及时了解城市发展中生态环境压力的严重态势,为城市可持续发展战略的制定和生态系统的管理提供依据和指导。文章构建了由活力、组织结构、恢复力、生态系统服务功能和人类健康状况5个要素构成的城市生态安全评价指标体系。在有序分割类和属性识别准则的基础上,建立了城市生态安全评价的属性识别模型。采用层次分析法（AHP）和熵权法赋予指标权重,充分利用了主观和客观评价方法的优势。根据此模型对广州市1991—2007年间的生态安全状况进行了实证分析。结果表明城市生态安全状况呈现出,从＂较不安全级＂上升到＂临界安全＂级。在5个评价要素中,除人群健康状况外,其他4个评价要素呈现出逐年改善的趋势。属性识别理论能对事物进行有效识别和比较分析,且原理直观、计算简便、评价结果准确,在评价、预测、决策等领域中具有广泛的适用性。     

图像识别技术及其在机械零件无损检测中的应用

无损检测法是一种常用的故障诊断技术,故障诊断从本质上来讲就是模式识别问题,而模式识别又可以狭义地理解为图像识别。从介绍图像、图像识别、图像识别过程和图像识别系统的基本概念着手,就几种常用图像识别方法的原理和特点进行比较,给出了CCD图像获取系统的组成。最后,结合发动机曲轴的一种自动磁粉探伤系统实例,对系统的图像处理和识别流程进行详细的讨论,并针对一般无损检测系统难以满足曲轴的检测要求和精度要求的状况,提出经过改进的一种适用于曲轴的整体无损检测系统。该系统有助于高效和完整地获取整个曲轴的图像,提高图像信息的质量,从而提高发动机曲轴表面缺陷检测的准确性和可靠性。     

Supramolecular chemistry—general principles and selected examples from anion recognition and metallosupramolecular chemistry

This review gives an introduction into supramolecular chemistry describing in the first part general principles, focusing on terms like noncovalent interaction, molecular recognition, self-assembly, and supramolecular function. In the second part those will be illustrated by simple examples from our laboratories. Supramolecular chemistry is the science that bridges the gap between the world of molecules and nanotechnology. In supramolecular chemistry noncovalent interactions occur between molecular building blocks, which by molecular recognition and self-assembly form (functional) supramolecular entities. It is also termed the "chemistry of the noncovalent bond." Molecular recognition is based on geometrical complementarity based on the "key-and-lock" principle with nonshape-dependent effects, e.g., solvatization, being also highly influential. Self-assembly leads to the formation of well-defined aggregates. Hereby the overall structure of the target ensemble is controlled by the symmetry features of the certain building blocks. Finally, the aggregates can possess special properties or supramolecular functions, which are only found in the ensemble but not in the participating molecules. This review gives an introduction on supramolecular chemistry and illustrates the fundamental principles by recent examples from our group.     

多元统计在土壤重金属污染源解析中的应用

土壤中重金属污染及其防治愈来愈受重视,查明污染源是有效治理污染的前提。本文总结了近年来国内外聚类分析、主成分分析、园子分析在土壤重金属溯源中的应用。针对以往研究工作的不足和存在的问题,指出了今后土壤重金属污染源解析研究中的新思路：（1）GIS技术与多元统计相结合生成的污染专题地图,可以更好地确定污染物来源;（2）利用富...     

基于属性识别理论模型的城市大气环境质量评价——以镇江市2009年为例

通过阐述属性识别理论和变异系数,建立大气环境质量评价的属性识别理论模型,并参照国家大气环境质量标准(GB3095-1996),以镇江市环保局2009年提供的原始数据为对象,对镇江市大气环境质量进行空间上的综合评价。结果表明,镇江句容市的大气环境质量为Ⅰ级(清洁),市区、扬中市和丹阳市的大气环境质量为Ⅱ级(轻污染)。同时,属性识别理论模型计算较为简单,评价客观;结合对主要污染物平均浓度变异系数的分析,使区域间的比较更为清晰,更能反映出真实情况。     

Synthesis and adsorption performance of lead ion-imprinted micro-beads with combination of two functional monomers

Synthesis and high adsorption and selectivity performance of lead ion-imprinted micro-beads with combination of two functional monomers.     

刚果红分子印迹聚合物纳米微球的合成及吸附性能

本研究以刚果红为模板分子,α-甲基丙烯酸(MAA)为功能单体,二甲基丙烯酸乙二醇酯(EGDMA)为交联剂,乙腈为致孔剂,2,2-偶氮二异丁腈(AIBN)为引发剂,采用沉淀聚合法制备了刚果红分子印迹聚合物纳米微球(MIP).通过扫描、透射电镜对聚合物的结构和形貌进行了表征,结果显示制备的MIP微球的粒径在90 nm左右,粒径较为均匀.利用氮气吸附脱附实验测定了聚合物颗粒的比表面积和孔容.并对诸多吸附影响因素以及分子印迹聚合物的吸附能力、选择性和重复利用率进行了分析.结果表明,MIP对刚果红表现出较好的选择性识别能力,可多次循环使用,能用于染料废水中刚果红的选择性吸附.