车用LNG气瓶的定期检验技术

针对车用液化天然气（LNG）气瓶定期检验的特殊要求,制定出定期检验项目及相应的检验方法。重点对车LNG气瓶静态蒸发率的测试方法进行研究,并给出评判标准。研究成果为车用LNG气瓶的安全应用提供保障,为车用LNG气瓶定期检验标准的制定提供理论依据。     

闪速炉废热锅炉安全检修

介绍了江西铜业公司贵溪冶炼厂闪速炉废热锅炉的安全检修方案和方法以及检修中的一些注意事项。通过本次安全检修,减少了锅炉的泄漏,提高了闪速炉的作业率,也为今后同类废热锅炉的检修摸索出一条路子。     

城市汽车年检碳排放数据挖掘及其应用研究

基于城市汽车年检中CO₂的过程动态检测数据,对小型汽油客车CO₂的排放因子和排放水平信息进行了挖掘,并与文献研究结果进行了对比.结果表明,从城市汽车年检数据中挖掘的CO₂排放结果可以作为研究城市机动车碳排放的重要参考依据;合理有效地利用汽车年检数据可以为城市车辆尾气排放的精准分级管控、城市交通运输碳排放达峰的量化分析,以及城市交通源的污染物和CO₂协同减排提供重要的数据支撑;从国Ⅰ到国Ⅴ不同排放阶段汽油车的常规污染物CO、NO_x和HC的排放水平下降非常明显,而对应的CO₂排放水平差异不大;CO₂排放因子随累计行驶里程、车龄、基准质量和排量的变化关系反映出,如果需要削减城市汽车碳排放水平,应鼓励使用基准质量小或者排量小的车辆,淘汰高油耗高排放的老旧车辆,鼓励公共绿色出行而降低单车活动水平,增加纯电动车辆优化车队能源结构.     

Evidence-based guidelines for automated conservation assessments of plant species

Assessing species’ extinction risk is vital to setting conservation priorities. However, assessment endeavors, such as those used to produce the IUCN Red List of Threatened Species, have significant gaps in taxonomic coverage. Automated assessment (AA) methods are gaining popularity to fill these gaps. Choices made in developing, using, and reporting results of AA methods could hinder their successful adoption or lead to poor allocation of conservation resources. We explored how choice of data cleaning type and level, taxonomic group, training sample, and automation method affect performance of threat status predictions for plant species. We used occurrences from the Global Biodiversity Information Facility (GBIF) to generate assessments for species in 3 taxonomic groups based on 6 different occurrence-based AA methods. We measured each method's performance and coverage following increasingly stringent occurrence cleaning. Automatically cleaned data from GBIF performed comparably to occurrence records cleaned manually by experts. However, all types of data cleaning limited the coverage of AAs. Overall, machine-learning-based methods performed well across taxa, even with minimal data cleaning. Results suggest a machine-learning-based method applied to minimally cleaned data offers the best compromise between performance and species coverage. However, optimal data cleaning, training sample, and automation methods depend on the study group, intended applications, and expertise.     

Automation design in advanced control rooms of the modernized nuclear power plants

This study evaluated the effects of levels of automation (LOAs) decisions in advanced control rooms of the modernized nuclear power plants. Following advancements in design of digitalized human–system interfaces (HSIs), the roles of human operators have changed significantly. Negative performance and safety consequences may occur as a result of these changes. These problems are viewed as the out-of-the-loop (OOTL) performance problems. This study conducted an experiment to compare the effects of different LOAs under different operating procedures on operating performance. Experimental results indicated that blended decision-making (level 6 LOA) generates the lowest mental workload. Furthermore, the pattern of SA observed in this study is found better SA at intermediate LOA and poorer SA at low level of automation and full automation. Subjective rating results suggest that LOAs distribute the roles of option generation, and selection between human and/or computer servers which significantly impacts automated system performance. This study provides a direction for the HSI designers in nuclear power plants (NPPs). Additionally, based on results obtained by this study, the user interfaces of PCTRAN system and the alarm reset system should be improved to ensure safe operation of NPPs.     

智能巡检机器人在自然环境试验中的应用探讨

目的 探索建立自然环境试验智能巡检系统,使用机器人替代部分人工巡检工作。方法 通过分析巡检作业环境和巡检任务,确定智能巡检机器人的功能要求和技术参数,进而开展机器人本体结构设计,融合控制后台、远程数据库等设备,实现智能巡检系统构建。结果 开展了智能巡检数据采集的使用验证,巡检机器人采集的样品图像对焦清晰、分辨率高,样品在图像中的位置大小合理,腐蚀特征展示清楚。巡检系统可对样品图像进行自动分割和智能识别,对蚀点、流痕等损伤特征识别准确,精度可达0.1%。结论 智能巡检系统可以满足自然环境试验的巡检要求,替代人工完成部分巡检工作,智能巡检数据便于入库和使用挖掘,对于自然环境试验的数字化转型有积极的推动作用。     

民用运输机场安检系统风险影响因素研究*

为提高民用运输机场安检系统风险管理水平,提出机场安检系统风险辨识模型,基于流程分析的方法确定机场安检的关键岗位,对各关键岗位中的不安全事件运用假设故障类型分析得出各岗位的风险因素;从人-机-环-管对风险因素进行归纳总结,建立民用运输机场安检系统风险影响因素集。提出DEMATEL-ISM风险集成模型分析安检系统风险影响因素的相互关系及层次结构。结果表明:通过模型的影响度计算得出,社会局势对机场安检系统风险影响最大、安检员的服务态度最易受其他因素的影响;通过模型的多层递阶解释结构计算得出,社会局势、安检作业环境、安检员薪酬制度和晋升制度是机场安检系统风险的根源影响因素。集成模型有效分析机场安检系统风险影响因素及其重要性和层次结构,可为机场安检系统风险的有效管理提供依据。     

微囊藻毒素的检测及危害研究进展

微囊藻毒素是富营养化水体中最常见的藻类毒素,它是一类具有多种异构体的环状多肽物质。其毒性大、分布广,对环境和人类的健康有着重大的威胁,是水环境中的重要潜在危害物质。本文总结了微囊藻毒素的分子结构、理化性质、污染现状以及对其的检测方法,并且提出了展望。     

微生物降解前后COD差值法快速测定BOD

采用活性污泥曝气法降解前后COD差值的方法,进行了BOD快速检测的研究。条件实验结果表明,其适宜检测条件为:降解时间180 min;污泥量5 mL/100 mL;pH值7.0;温度25℃。模拟废水检测结果表明,该测定方法具有较高的重复性,5次测定的相对偏差小于6.5%,在BOD浓度为0~500 mg/L范围内,微生物降解前后COD差值与BOD5有良好的相关性,其相关系数达到0.98。因此,可以通过测定微生物降解前后COD值,实现快速BOD检测的目的,同时,也可实现COD和BOD一体化检测,这将是今后COD和BOD检测研究的发展方向之一。     

新版资质认定评审准则对轨道交通类检验机构的影响

新版的《检验检测机构资质认定评审准则》及释义,于2016年8月1日起正式实施,具体条款减少到50条。文中具体提出了29个程序文件名称,对管理体系和程序文件进行了归纳。对目前在设备租赁、检验项目分包、内部校准等争议的问题,也进行了介绍。然后对检验检测机构现场评审的要点,进行了说明。最后指出获证后的机构要持续改进并有效运行管理体系,尤其要在资质认定标志、检验检测专用章使用方面的注意。