模拟防尘网控制物料堆起尘的基本要求

介绍了防尘网一种多孔板,在模拟防尘网控制物料起尘时,为了能够更好地实现对低层大气湍流的模拟所应采用的一些基本要求。同时介绍了工程中防尘网在控制物料起尘时所采用的一些具体参数和造成起尘的起动风速。     

机动车排放检测运行体系的相关研究

机动车污染物排放标准与其检测方法是相辅相成的，不同的机动车检测方法对应不同的机动车排放污染物限值。该文主要对机动车排放检测运行体系中的怠速和简易工况检测方法进行了对比性研究，并对机动车实施常规检测的年检和监督手段的路检进行了对比分析，从而得出：工况法检测对于尾气排放情况的模拟要优于怠速法检测，并可对NOx进行有效控制，所以建议在有条件的地区，应该尽量实施工况法检测：年检和路检的数据有较大的差异，反映出对在用车的监督不力，今后应加强；高排放车辆的贡献率所占的比例与发达国家相比太小，说明机动车总体控制水平较低。     

Production and application of a novel bioflocculant by multiple-microorganism consortia using brewery wastewater as carbon source

The flocculating activity of a novel bioflocculant MMF1 produced by multiple-microorganism consortia MM1 was investigated. MM1 was composed of strain BAFRT4 identified as Staphylococcus sp. and strain CYGS1 identified as Pseudomonas sp. The flocculating activity of MMF1 isolated from the screening medium was 82.9%, which is remarkably higher than that of the bioflocculant produced by either of the strains under the same condition. Brewery wastewater was also used as the carbon source for MM1, and the cost-effective production medium for MM1 mainly comprised 1.0 L brewery water （chemical oxygen demand （COD） 5000 mg/L）, 0.5 g/L urea, 0.5 g/L yeast extract, and 0.2 g/L （NH4）2SO4. The optimal conditions for the production of MMF1 was inoculum size 2%, initial pH 6.0, cultivating temperature 30℃, and shaking speed 160 r/min, under which the flocculating activity of the MMF1 reached 96.8%. Fifteen grams of purified bioflocculant could be recovered from 1.0 L of fermentation broth. MMF1 was identified as a macromolecular substance containing both protein and polysaccharide. It showed good flocculating performance in treating indigotin printing and dyeing wastewater, and the maximal removal efficiencies of COD and chroma were 79.2% and 86.5%, respectively.     

环境温度对粉尘爆炸参数的影响

研究了环境温度对萘酐(C10H6O2)粉尘爆炸参数的影响,得到了随着温度的升高,最大爆炸压力峰值变化不大;而最大压力上升速率增大,爆炸下限浓度降低,安全氧含量也会降低.根据化学动力学理论对这一影响进行了分析.     

矸石脱介筛降噪治理

矸石脱介筛担负着排矸及回收磁铁矿粉的作用，原振动筛因噪声指标严重超标造成诸多问题，通过降低电机转速、采用激振装置，使用新型耐磨材料筛板等降噪措施，满足生产需求，工作环境改善，维修工作量降低，具有明显的经济效益和社会效益。     

打印式旋浆测流仪的简化改装

改变打印式旋浆测流仪浅路，去除复杂的电路控制、数据处理及打印功能，改为仪器自动报警，人工记数记时，手工计算，使测流更简单方便，工作更可靠，更适应野外工作的需要。     

我国机动车排放标准及检测方法简述

根据"新车新标准,老车老标准"的原则,双怠速法将是汽油车基本检测方法,简易工况法在全国范围内分步实施,柴油车将逐步采用不透光烟度计的测量方法.同时介绍了国外相关标准及检测方法.     

L6-M Al的超塑性工艺的实验研究

依拟定之正交实验方案，主要探讨工艺因素成形温度(T)，气体速度(V)，模具圆角半径(R)对铝板(L6-M)超塑性工艺性能的影响。经研究发现铝材(L6-M)在超塑性成形时，三个主要工艺因素对其影响的强弱顺序为成形温度(T)；气体速度(V)；模具圆角(R)，且都影响显著。     

Identifying crash propensity using specific traffic speed conditions

INTRODUCTION: In spite of recent advances in traffic surveillance technology and ever-growing concern over traffic safety, there have been very few research efforts establishing links between real-time traffic flow parameters and crash occurrence. This study aims at identifying patterns in the freeway loop detector data that potentially precede traffic crashes. METHOD: The proposed solution essentially involves classification of traffic speed patterns emerging from the loop detector data. Historical crash and loop detector data from the Interstate-4 corridor in the Orlando metropolitan area were used for this study. Traffic speed data from sensors embedded in the pavement (i.e., loop detector stations) to measure characteristics of the traffic flow were collected for both crash and non-crash conditions. Bayesian classifier based methodology, probabilistic neural network (PNN), was then used to classify these data as belonging to either crashes or non-crashes. PNN is a neural network implementation of well-known Bayesian-Parzen classifier. With its superb mathematical credentials, the PNN trains much faster than multilayer feed forward networks. The inputs to final classification model, selected from various candidate models, were logarithms of the coefficient of variation in speed obtained from three stations, namely, station of the crash (i.e., station nearest to the crash location) and two stations immediately preceding it in the upstream direction (measured in 5 minute time slices of 10-15 minutes prior to the crash time). RESULTS: The results showed that at least 70% of the crashes on the evaluation dataset could be identified using the classifiers developed in this paper.     

长隧道韵律型视觉环境设计研究

采用心理物理试验分析公路隧道内部视觉环境对驾驶员行车安全的影响,将E-prime 2.0软件与仿真驾驶模拟器相结合,对驾驶员在隧道内长时间行车中的速度判断准确率及反应时间两个指标进行分析,提出了利用标志标线构建公路隧道内韵律型标线系统的改善措施,以改善隧道内视觉环境,并利用数理统计方法及Logistics拟合分析对设计方案进行评价。结果表明:1)公路隧道内韵律型标线系统能提升隧道内驾驶员的速度判断准确率3.33%~11.66%;2)普通公路隧道场景中,被试者反应时间与隧道内行车时间存在显著关系,公路隧道内韵律型标线系统的场景中,反应时间与隧道内的行车时间没有显著关系,能有效缓解视觉疲劳现象;3)被试者反应时间的增加同时受隧道内视觉环境与行车时间的影响。公路隧道内韵律型标线系统能有效提高驾驶员的反应时间,适用于行驶速度为80 km/h、大于1 333 m的隧道。