The implementation of a measurement system for brushless DC motor parameters

Most of the energy conversion in industrial devices and equipment is completed by the motor. The acquirement of motor parameters becomes very important for designing the motor drives. The aim of this paper is to design and implement a motor measurement system. Through the processing of an Advanced RISC Machines (ARM) microcontroller, the various parameters of motors such as input voltage, input current, input power, motor speed, and motor torque can be obtained. Consequently, the torque constant, load torque, viscous friction, and the inertia of the motor are calculated and achieved. The motor parameters can be commanded and displayed in the designed human interface of a PC via USB communication. The hardware system designed in this system includes an ARM microcontroller, an inverter, a voltage sensor, a current sensor, a torque sensor, and power supply. The software programming is developed under the Visual Studio 2012 environment development platform using the C language. Finally, the prototype of the motor measurement system is completed and verified. The experimental results for the motor parameters and torque/speed characteristic are demonstrated and show the feasibility of the complete designed system.     

Understanding conservationists’ perspectives on the new‐conservation debate

A vibrant debate about the future direction of biodiversity conservation centers on the merits of the so‐called new conservation. Proponents of the new conservation advocate a series of positions on key conservation ideas, such as the importance of human‐dominated landscapes and conservation's engagement with capitalism. These have been fiercely contested in a debate dominated by a few high‐profile individuals, and so far there has been no empirical exploration of existing perspectives on these issues among a wider community of conservationists. We used Q methodology to examine empirically perspectives on the new conservation held by attendees at the 2015 International Congress for Conservation Biology (ICCB). Although we identified a consensus on several key issues, 3 distinct positions emerged: in favor of conservation to benefit people but opposed to links with capitalism and corporations, in favor of biocentric approaches but with less emphasis on wilderness protection than prominent opponents of new conservation, and in favor of the published new conservation perspective but with less emphasis on increasing human well‐being as a goal of conservation. Our results revealed differences between the debate on the new conservation in the literature and views held within a wider, but still limited, conservation community and demonstrated the existence of at least one viewpoint (in favor of conservation to benefit people but opposed to links with capitalism and corporations) that is almost absent from the published debate. We hope the fuller understanding we present of the variety of views that exist but have not yet been heard, will improve the quality and tone of debates on the subject.     

城镇化对工业能源消费的门槛效应研究——以长江经济带省份为例

高效能源利用是推动工业发展,进而促使城镇格局演化的重要催化剂,同时城镇化的高速发展对工业能源的消费结构和利用效率提出了进一步的要求,这必将影响到低碳城市建设和环境保护等生态责任目标的实现。选取2003—2012年长江经济带11个省份(直辖市)的相关数据,运用门槛模型对城镇化率、城镇居民人均总收入、能源工业投资、工业总产值、城市人口密度、产业结构等影响工业能源消费的因素进行分析,重点研究城镇化率和工业能源消费的非线性关系和相应的地区差异。结果表明:(1)长江经济带城镇化发展存在着明显的地区差异,上海、浙江等东部地区城镇化发展速度和水平明显优于云南、贵州等中西部地区。云南和贵州2012年的城镇化率远远低于2003年上海、浙江的城镇化率,显示出长江上游和下游之间存在着巨大的发展水平差距。(2)城镇化对工业能源消费存在显著的门槛效应,以城镇化率为门槛变量,存在两个结构变化点,分别为36.9%和48.3%。(3)在第一个门槛点前,城镇化对工业能源消费起抑制作用,前期城镇化的发展导致资源和人口的集聚效应明显,资源的利用效率和配置效率得到提升,从而抑制工业能源消费。在越过第二个门槛点后,城镇化对工业能源消费起正向作用,此时工业的发展和生活消费水准的提升对能源消费提出了更多的要求。最后为促进长江经济带城镇化和工业低碳化的协调发展,提出以下建议:加快长江经济带沿线各省份联动发展,缩小城镇化发展差异;针对城镇化率和工业能源消费的非线性关系,采取相应的措施引导和控制工业能源消费的变化趋势;协调城镇化进程和地区工业能源消耗,促进城镇化的健康发展。     

家庭部门生活能源消费碳排放:测度与驱动因素研究

本文运用IPCC的二氧化碳排放量测算方法,在省际层面测度了我国家庭部门直接能源消费碳排放,并基于扩展的STIRPAT和Kaya模型,构建家庭部门直接能源消费碳排放影响因子动态面板数据模型,对我国2003-2012年分省面板数据样本及城乡子样本进行系统GMM估计。本文研究表明,第一,我国城乡家庭部门碳排放总量和人均碳排放在近十年都呈快速上升趋势,家庭部门碳排放的空间分布具有明显的地域差异特征,高碳排放地区主要集中在东、中部地区,西部地区的碳排放水平较低;第二,城乡家庭部门生活能源消费的上期碳排放量对本期碳排放产生重要的正向影响,这反映出我国家庭部门碳排放具有显著的惯性特征和路径依赖性,是一种动态自适应机制;人口规模、居民消费水平、能源消费结构、碳排放强度、能源消费强度和城镇化因素,都对我国居民能源消费碳排放总量及人均碳排放具有显著的影响,城乡之间的家庭能源消费碳排放驱动因素存在差异。本文研究得到如下启示及政策含义:家庭部门碳减排将是一个有步骤、分区域的渐进过程,我国碳减排政策应当兼顾消费升级和碳排放的双重目标,努力构建分层次碳减排的适应性预期机制。具体而言,一方面应着眼于引导和激励居民低碳消费,缓解人口规模增加、消费水平提升和城镇化对家庭部门碳减排的压力;另一方面要通过能源价格改革、财政政策和环境规制政策等优化我国能源消费结构,不断降低煤炭消费比重,提高清洁能源的消费。同时,通过技术创新、设备改造等科技手段提高煤炭利用效率,降低碳排放强度,这些政策将更有利于城镇家庭部门碳减排。     

Plant blindness and the implications for plant conservation

Plant conservation initiatives lag behind and receive considerably less funding than animal conservation projects. We explored a potential reason for this bias: a tendency among humans to neither notice nor value plants in the environment. Experimental research and surveys have demonstrated higher preference for, superior recall of, and better visual detection of animals compared with plants. This bias has been attributed to perceptual factors such as lack of motion by plants and the tendency of plants to visually blend together but also to cultural factors such as a greater focus on animals in formal biological education. In contrast, ethnographic research reveals that many social groups have strong bonds with plants, including nonhierarchical kinship relationships. We argue that plant blindness is common, but not inevitable. If immersed in a plant‐affiliated culture, the individual will experience language and practices that enhance capacity to detect, recall, and value plants, something less likely to occur in zoocentric societies. Therefore, conservation programs can contribute to reducing this bias. We considered strategies that might reduce this bias and encourage plant conservation behavior. Psychological research demonstrates that people are more likely to support conservation of species that have human‐like characteristics and that support for conservation can be increased by encouraging people to practice empathy and anthropomorphism of nonhuman species. We argue that support for plant conservation may be garnered through strategies that promote identification and empathy with plants.     

智能家电的低待机功耗研究

从智能家电待机工作状态入手,分析电器产品中参与待机工作的各部分电路原理,提出降低潜在功耗设计思路和计算方法,从家电设计研发阶段对待机功耗进行控制,同时对待机功耗精确测量方法关键点进行解读以控制低功耗测试不确定度,有助于低待机功耗设计和测量的标准化和规范化。     

人粪便中温好氧堆肥过程的有机物降解特性研究

利用密闭式小型堆肥反应器,以锯末作为堆肥载体,采用批量反应的操作方式,在35℃的温控条件下进行了人粪便的中温好氧堆肥实验。结果表明,在14 d的堆肥反应周期内,粪便中以COD为参数的有机物去除率可达到70%左右,且在10～12 d内基本完成有机物降解。在中温条件下,堆体容易保持适宜的含水率和pH值,维持适宜微生物繁殖生长的条件。运用磷脂法进行堆肥过程中微生物总量的分析,表明在一个堆肥周期内,微生物经历了环境适应期、稳定增殖期、生物量下降期等3个阶段,这一微生物繁衍规律与有机物的去除密切相关。与高温堆肥相比,中温堆肥能够减少设备加热的能量消耗,是缺水地区人粪便处置的可选方法之一。     

夏季东海和南黄海一氧化碳的浓度分布、海-气通量和微生物消耗研究

于2013年7月对东海和南黄海海水中CO的浓度分布、时空变化、海-气通量和表层海水中CO微生物消耗进行了研究.夏季东海和南黄海大气中CO的体积分数范围为68×10-9~448×10-9,平均值为117×10-9(SD=68×10-9,n=36),呈现出近岸高、远海低的特点.夏季东海和南黄海表层海水中CO的浓度范围为0.23~7.10 nmol·L-1,平均值为2.49 nmol·L-1(SD=2.11,n=36),CO的浓度受太阳辐射影响明显;不同站位CO浓度的垂直分布特征基本相同,CO浓度最大值一般出现在表层,随深度增加CO浓度迅速减小.夏季东海和南黄海海水中CO浓度具有明显的周日变化,最大值是最小值的6~40倍.各层最大值基本出现在中午,最小值基本上出现在凌晨前后.CO明显的周日变化特征进一步证明海水中CO主要由光化学产生.调查期间东海和南黄海表层海水中CO相比大气处于过饱和状态,过饱和系数变化范围为1.99~99.18,平均值为29.36(SD=24.42,n=29),表明调查海域是大气中CO的源.调查期间CO的海-气通量变化范围为0.37~44.84μmol·(m2·d)-1,平均值为12.73μmol·(m2·d)-1(SD=11.40,n=29).调查海域CO的微生物消耗培养实验中,CO的浓度随时间增长呈指数降低,消耗过程符合一级反应的特点,微生物消耗速率常数KCO范围为0.12~1.45 h-1,平均值为0.47 h-1(SD=0.55,n=5),微生物消耗速率与盐度之间有一定的相关性.     

城市分散式粪便颗粒化有机肥用作叶菜肥的肥力及环境影响

城市分散式粪便的处理已经成为现代化城市管理的一个难题.本研究在将城市分散式粪便经收集、除渣、絮凝脱水后制成颗粒肥;通过盆栽小青菜试验,评价了不同施肥量对小青菜的增产效果以及对土壤、淋溶水性质的影响,探讨了颗粒肥用于叶菜施肥的可行性.结果表明,施用颗粒肥可显著提高小青菜产量,试验条件下未对小青菜叶片造成大肠杆菌、大肠菌群等病原菌污染;在适当比例的施肥水平下,颗粒肥施用后淋溶水中的病原菌浓度低于对照组.施用颗粒肥能显著提高土壤氮、磷、钾、有机质等营养物质含量,提高土壤孔隙度水平,降低土壤容重,改善土壤理化性质;同时颗粒肥施用不会对土壤和淋溶水造成重金属离子污染,且能有效降低土壤氮、钾的淋溶.     

船舶溢油应急反应人的可靠性分析研究

为减小船舶溢油事故应急反应人员失误概率,提升应急处置效果,在对应急人员可靠性主要影响因素识别的基础上,利用模糊贝叶斯网络(BN)建立船舶溢油应急人的可靠性分析(HRA)模型,将应急反应流程抽象为可进行概率推算的BN,实现单个应急任务和全过程人的可靠性的量化评估,并依据该模型对一起船舶溢油事故进行实例研究。结果表明,首先模糊集值专家评估较好地解决应急人员可靠性情境依赖性强,难以量化评估的问题;其次,BN卓越的概率推理性能实现由单个应急任务向全过程人的可靠性的推算;最后得到应急反应人的可靠性主要取决于关键应急任务的完成情况和相关情境因素的影响。