基于条件生成对抗网络的空气预热器内红外补光监测视频图像清晰化方法

火电厂空气预热器（空预器）内部的灰尘、烟雾、光照变化等因素导致监控视频画面不清晰，影响监控效果。鉴于此，本文提出一种基于条件生成对抗网络（cGAN）的恶劣工业环境下红外补光监控视频图像清晰化方法。针对获取的红外补光图像样本数据进行预处理，包括高斯滤波去噪以及图像拼接操作，得到低清晰度图像和高清晰度图像的合成图像，低清晰图像作为待重建图像，高清晰图像作为重建图像的理想参考图像，采用建立的cGAN模型对低清晰图像进行重建，调节优化参数生成高清晰图像。试验采用空预器现场监控视频作为训练集对网络模型进行离线训练，实现了空预器红外补光监控图像清晰化处理。本文方法cGAN模型小、训练过程简单、计算效率高、图像清晰化处理效果好，适于相似复杂工业环境下对监控视频图像的恢复和清晰化处理。     

浓香型白酒窖泥放线菌的原位分离及代谢特性研究

以川南某浓香型白酒生产企业50年窖龄且发酵正常的窖泥为研究对象。通过高通量测序技术分析细菌群落结构以及放线菌群落结构,利用原位分离法从中分离得到2株放线菌,结合形态鉴定、生理生化和16S rRNA基因序列比对分析确定菌种属,并对其进行耐酸、耐乙醇特性研究,基于风味导向思路,分别对2株菌进行液态培养和固态培养,采用顶空固相微萃取法和气相色谱质谱联用对发酵挥发性产物进行分析,为放线菌的相关研究和应用提供理论参考。结果显示,放线菌在该窖泥样品含有较高操作分类单元(operational taxonomic unit,OTU),相对丰度达(10.7±3.4)%,且主要分布于链霉菌亚目(Streptomycineae)和科里氏杆菌亚目(Coriobacterineae)。采用原位分离法分离放线菌,将分离得到的2株菌编号为A1、A2,菌株A1鉴定为桑氏链霉菌(Streptomyces sampsonii),菌株A2鉴定为鲁地链霉菌(Streptomyces rutgersensis)。菌株A1、A2均可在pH>4.3或乙醇体积分数<6%的环境中生长。菌株A1在液态和固态发酵条件下都会产生大量土臭素以及萜烯类物质,菌株A2在液态条件下能产生多种酯类,其中己酸乙酯相对含量(5.384%)较高,而固态条件下能够检测出大量的3-羟基-2丁酮、2,3-丁二醇和吡嗪类物质。     

大连市海菜加工业污染现状及防治对策的研究

大连市是全国重要的水产品加工基地,海菜加工业是我市水产品加工业的支柱之一。基于大连市海菜加工业现状,本文主要对海菜加工业的治理现状、生产工艺、产污环节、主要污染物指标、治理设施情况做了调查分析。找出大连市海菜加工业污染状况及污染防治中存在的不足,提出建议,为今后大连市海菜加工业可持续发展提供一定的理论基础。     

Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty

Optimal water resource allocation can go some way to overcoming water deficiencies; however, its achievement is complex due to conflicting hierarchies and uncertainties, such as water availability (WA) and water demand (WD). This study develops a robust water withdrawal scheme for drought regions that can balance the trade-offs between the sub-areas and water use participants, ensure sustainable regional system development, and guarantee robust solutions for future uncertainties. A bi-level affinely adjustable robust counterpart (AARC) programming framework was developed in which the regional authority as the leader allocates water to the sub-areas to maximize the intra- and intergenerational equity, and the sub-areas as the followers allocate water to their respective water departments to maximize their economic benefits and minimize water shortages. A case study from Neijiang, China, is given to illustrate the applicability and feasibility of this framework. The novelty of this study is to propose a sustainable bi-level AARC regional water allocation framework which integrates intra- and inter-generational equity of regional water use and priority rules reflected by goal preference programming between water departments under uncertainties of WA and WD simultaneously in water deficient regions.

     

高能同步辐射光源逐束团束流位置测量电子学研制

基于高能同步辐射光源（HEPS）储存环，研制了一套逐束团束流位置测量（BPM）电子学系统，电子学的硬件部分由模拟信号采集板卡和数字信号处理板卡组成，软件部分由底层固件和顶层应用软件组成。系统的采样频率为500 MHz，带宽为1 GHz，对来自储存环BPM探头的4路模拟信号进行数字化，得到束团幅度数据，利用ZYNQ芯片计算出每个束团在真空管道中的位置。逐束团BPM电子学在实验室的测试结果为：输入信号峰峰值小于1.8 V时ADC通道非线性度小于1%，无杂散动态范围约60 dB，灵敏度系数取8.26 mm时位置分辨率优于10 μm，测试结果满足HEPS逐束团BPM的需求。     

湿法炼锌赤铁矿法沉铁行为

湿法炼锌工艺过程中赤铁矿法沉铁技术是一种沉淀渣量小、分离效率高的锌、铁分离方法。针对湿法炼锌工艺过程中赤铁矿法沉铁技术开展了硫酸亚铁的氧化水解沉淀行为的研究，考察了时间、酸度、温度、硫酸盐浓度、晶种返回量等主要因素对赤铁矿法沉铁效果的影响、沉淀产物的析出特性和物相表征。     

纳米SiO2防气窜乳液制备及分散稳定性研究

针对高温高压超深油气井防气窜固井技术难题,以纳米SiO2作为原材料制备的防气窜乳液具有良好的抗温性和防气窜效果,但超细纳米材料颗粒表面存在非常多的硅羟基,极易团聚在一起,乳液里的固相材料会沉淀、结块,造成产品失效。本文以搅拌分散为实验手段,研制了纳米SiO2防气窜乳液,通过Zeta电位、表观黏度、粒径分析、稳定性分析等表征方法,研究了影响乳液分散稳定性的化学因素。结果表明:纳米SiO2乳液的pH值应在11~12,颗粒间的静电斥力强,乳液的平均粒径小、表观黏度低,分散效果好;电解质存在压缩双电层效应,可大幅度降低纳米颗粒间的静电斥力,制备纳米SiO2防窜乳液应避免引入电解质;电位阻型分散剂SCNF加量达到5%时就接近饱和吸附量,当分散剂加量过大后,只能对外相水产生增黏作用;加入稳定剂增加了纳米SiO2颗粒的布朗运动阻力,可以大幅度提高纳米SiO2防窜乳液的稳定性,所制得的乳液平均粒径小于200 nm,固含量可达45%,室温下可储存一年以上,底部无析水沉淀现象。     

柱塞副微观表面对间隙油膜压力的影响

根据分形理论中的W-M函数建立柱塞与缸体孔表面三维形貌数学模型,并利用MATLAB软件编写程序,分析分形维数对表面微观形貌的影响。将柱塞副间隙油膜沿轴向展成平面,建立油膜厚度及压力分布计算模型,采用有限体积法求解二维雷诺方程,分析粗糙度对柱塞副间隙油膜压力分布的影响。结果表明:随着分形维数的增加,柱塞表面粗糙度呈增加趋势,且表面粗糙度越大,压力峰值越大。     

Study of traffic characteristics based on internet web real-time traffic conditions by image identification technology

With the rapid development of Internet, it is increasingly convenient to obtain real-time traffic condition information, which has greatly stimulated the improvement of urban traffic guidance. Traffic conditions are generally divided into four grades in the existing network platform, which are expressed in different colours. The understanding of traffic condition is still at the level of abstract senses. Therefore, it is difficult to grasp the characteristics of urban traffic. To this end, a new idea is proposed in this paper, and the new idea is to study the urban traffic characteristics based on real-time traffic condition information extraction with image identification technology. With this method, we can not only quantify the abstract traffic condition information, but also solve the loss of traffic condition information. In addition, an instance is analysed in this paper, it shows that it can provide references for urban traffic organization management very well.