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Thermal and hydraulic characteristics of a large-scaled parabolic trough solar field (PTSF) under cloudpassages

Linrui MA, Zhifeng WANG, Ershu XU, Li XU

《能源前沿（英文）》 2020年第14卷第2期页码 283-297 doi: 10.1007/s11708-019-0649-4

摘要： To better understand the characteristics of a large-scaled parabolic trough solar field (PTSF) under cloud passages, a novel method which combines a closed-loop thermal hydraulic model (CLTHM) and cloud vector (CV) is developed. Besides, the CLTHM is established and validated based on a pilot plant. Moreover, some key parameters which are used to characterize a typical PTSF and CV are presented for further simulation. Furthermore, two sets of results simulated by the CLTHM are compared and discussed. One set deals with cloud passages by the CV, while the other by the traditionally distributed weather stations (DWSs). Because of considering the solar irradiance distribution in a more detailed and realistically way, compared with the distributed weather station (DWS) simulation, all essential parameters, such as the total flowrate, flow distribution, outlet temperature, thermal and exergetic efficiency, and exergetic destruction tend to be more precise and smoother in the CV simulation. For example, for the runner outlet temperature, which is the most crucial parameter for a running PTSF, the maximum relative error reaches −15% in the comparison. In addition, the mechanism of thermal and hydraulic unbalance caused by cloud passages are explained based on the simulation.

关键词： parabolic trough solar field (PTSF) thermal hydraulic model cloud passages transients

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IN2CLOUD: A novel concept for collaborative management of big railway data

Jing LIN, Uday KUMAR

《工程管理前沿（英文）》 2017年第4卷第4期页码 428-436 doi: 10.15302/J-FEM-2017048

摘要： In the EU Horizon 2020 Shift2Rail Multi-Annual Action Plan, the challenge of railway maintenance is generating knowledge from data and/or information. Therefore, we promote a novel concept called “IN2CLOUD,” which comprises three sub-concepts, to address this challenge: 1) A hybrid cloud, 2) an intelligent cloud with hybrid cloud learning, and 3) collaborative management using asset-related data acquired from the intelligent hybrid cloud. The concept is developed under the assumption that organizations want/need to learn from each other (including domain knowledge and experience) but do not want to share their raw data or information. IN2CLOUD will help the movement of railway industry systems from “local” to “global” optimization in a collaborative way. The development of cutting-edge intelligent hybrid cloud-based solutions, including information technology (IT) solutions and related methodologies, will enhance business security, economic sustainability, and decision support in the field of intelligent asset management of railway assets.

关键词： railway intelligent asset management collaborative learning big data hybrid cloud Bayesian

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Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

《机械工程前沿（英文）》 2022年第17卷第3期 doi: 10.1007/s11465-022-0686-2

摘要： With the proposal of intelligent mines, unmanned mining has become a research hotspot in recent years. In the field of autonomous excavation, environmental perception and excavation trajectory planning are two key issues because they have considerable influences on operation performance. In this study, an unmanned electric shovel (UES) is developed, and key robotization processes consisting of environment modeling and optimal excavation trajectory planning are presented. Initially, the point cloud of the material surface is collected and reconstructed by polynomial response surface (PRS) method. Then, by establishing the dynamical model of the UES, a point to point (PTP) excavation trajectory planning method is developed to improve both the mining efficiency and fill factor and to reduce the energy consumption. Based on optimal trajectory command, the UES performs autonomous excavation. The experimental results show that the proposed surface reconstruction method can accurately represent the material surface. On the basis of reconstructed surface, the PTP trajectory planning method rapidly obtains a reasonable mining trajectory with high fill factor and mining efficiency. Compared with the common excavation trajectory planning approaches, the proposed method tends to be more capable in terms of mining time and energy consumption, ensuring high-performance excavation of the UES in practical mining environment.

关键词： autonomous excavation unmanned electric shovel point cloud excavation trajectory planning

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Toward resilient cloud warehousing via a blockchain-enabled auction approach

《工程管理前沿（英文）》页码 20-38 doi: 10.1007/s42524-022-0224-2

摘要： Cloud warehousing service (CWS) has emerged as a promising third-party logistics service paradigm driven by the widespread use of e-commerce. The current CWS billing method is typically based on a fixed rate in a coarse-grained manner. This method cannot reflect the true service value under the fluctuating e-commerce logistics demand and is not conducive to CWS resilience management. Accordingly, a floating mechanism can be considered to introduce more flexible billing. A CWS provider lacks sufficient credibility to implement floating mechanisms because it has vested interests in terms of fictitious demand. To address this concern, this report proposes a blockchain-enabled floating billing management system as an overall solution for CWS providers to enhance the security, credibility, and transparency of CWS. A one-sided Vickrey–Clarke–Groves (O-VCG) auction mechanism model is designed as the underlying floating billing mechanism to reflect the real-time market value of fine-grained CWS resources. A blockchain-based floating billing prototype system is built as an experimental environment. Our results show that the O-VCG mechanism can effectively reflect the real-time market value of CWSs and increase the revenue of CWS providers. When the supply of CWS providers remains unchanged, allocation efficiency increases when demand increases. By analyzing the performance of the O-VCG auction and comparing it with that of the fixed-rate billing model, the proposed mechanism has more advantages. Moreover, our work provides novel managerial insights for CWS market stakeholders in terms of practical applications.

关键词： resilient cloud warehousing blockchain technology floating billing management system auction mechanism third-party logistics

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云雷达反演层状云微物理参数及其与飞机观测数据的对比

刘黎平,宗蓉,齐彦斌,刘健

《中国工程科学》 2012年第14卷第9期页码 64-71

摘要：

首先根据滴谱假设分析了层状云降水回波强度、径向速度和速度谱宽与降水微物理参数的关系，检验了云雷达探测数据的可用性；然后在忽略空气上升速度和湍流对雷达观测的速度谱宽影响前提下，利用测云雷达观测的回波强度、粒子下落速度和速度谱宽数据进行了液态水含量和滴谱参数的反演试验，并与飞机观测的滴谱进行了对比分析。结果表明，8 mm雷达观测得到的3个量与雨滴谱分析得到的关系比较接近；层状云粒子尺度、数密度和含水量从云顶到云的回波强中心有明显的变化，粒子尺度的增加是回波强度增加的重要原因。毫米波雷达反演得到的降水微物理参数和飞机观测数据具有可比性。

关键词：云降水微物理参数毫米波云雷达和飞机观测降水粒子下落速度和谱宽

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基于云模型的信任评估研究

路峰,吴慧中

《中国工程科学》 2008年第10卷第10期页码 84-90

摘要：

讨论了信任关系的随机性和模糊性共存以及相互融合问题。分析云模型描述不确定性概念的方法和实现定性语意与定量数值相互转换的算法，提出了基于云理论的信任评估模型—信任云。该模型提出云特征参数表达的信任传递和合并算法，在精确描述信任期望值的同时，通过熵和超熵刻画了信任的不确定性。相对于传统的信任评估策略，该模型获取的信任值包含更多的语意信息，更适合作为信任决策的依据。

关键词：信任评估信任模型云模型云发生器

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Development of a cloud condensation nuclei (CCN) counter using a laser and charge-coupled device (CCD

Mikyung PARK, Jinkwan OH, Kihong PARK

《环境科学与工程前沿（英文）》 2011年第5卷第3期页码 313-319 doi: 10.1007/s11783-011-0346-y

摘要： A continuous flow streamwise thermal gradient cloud condensation nuclei (CCN) counter with an aerosol focusing and a laser-charge-coupled device (CCD) camera detector system was developed here. The counting performance of the laser-CCD camera detector system was evaluated by comparing its measured number concentrations with those measured with a condensation particle counter (CPC) using polystyrene latex (PSL) and NaCl particles of varying sizes. The CCD camera parameters (e.g. brightness, gain, gamma, and exposure time) were optimized to detect moving particles in the sensing volume and to provide the best image to count them. The CCN counter worked well in the particle number concentration range of 0.6–8000 #·cm and the minimum detectable size was found to be 0.5 μm. The supersaturation in the CCN counter with varying temperature difference was determined by using size-selected sodium chloride particles based on K?hler equation. The developed CCN counter was applied to investigate CCN activity of atmospheric ultrafine particles at 0.5% supersaturation. Data showed that CCN activity increased with increasing particle size and that the higher CCN activation for ultrafine particles occurred in the afternoon, suggesting the significant existence of hygroscopic or soluble species in photochemically-produced ultrafine particles.

关键词： aerosol cloud condensation nuclei (CCN) counter ultrafine particle

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Analyzing the service availability of mobile cloud computing systems by fluid-flow approximation

Hong-wu LV,Jun-yu LIN,Hui-qiang WANG,Guang-sheng FENG,Mo ZHOU

《信息与电子工程前沿（英文）》 2015年第16卷第7期页码 553-567 doi: 10.1631/FITEE.1400410

摘要： Mobile cloud computing (MCC) has become a promising technique to deal with computation- or data-intensive tasks. It overcomes the limited processing power, poor storage capacity, and short battery life of mobile devices. Providing continuous and on-demand services, MCC argues that the service must be available for users at anytime and anywhere. However, at present, the service availability of MCC is usually measured by some certain metrics of a real-world system, and the results do not have broad representation since different systems have different load levels, different deployments, and many other random factors. Meanwhile, for large-scale and complex types of services in MCC systems, simulation-based methods (such as Monte-Carlo simulation) may be costly and the traditional state-based methods always suffer from the problem of state-space explosion. In this paper, to overcome these shortcomings, fluid-flow approximation, a breakthrough to avoid state-space explosion, is adopted to analyze the service availability of MCC. Four critical metrics, including response time of service, minimum sensing time of devices, minimum number of nodes chosen, and action throughput, are defined to estimate the availability by solving a group of ordinary differential equations even before the MCC system is fully deployed. Experimental results show that our method costs less time in analyzing the service availability of MCC than the Markov- or simulation-based methods.

关键词： Service availability Mobile cloud computing Fluid-flow approximation Ordinary differential equations

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

《信息与电子工程前沿（英文）》 2016年第17卷第5期页码 422-434 doi: 10.1631/FITEE.1500316

摘要： To speed up the reconstruction of 3D dynamic scenes in an ordinary hardware platform, we propose an efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based interpolation from multi-view videos. Our framework takes full advantage of spatio-temporal-contour consistency. It exploits the property to interpolate single contours, two neighboring contours which belong to the same model, and two contours which belong to the same view at different times, corresponding to point-, contour-, and model-level interpolations, respectively. The framework formulates the interpolation of two models as point cloud transport rather than non-rigid surface deformation. Our framework speeds up the reconstruction of a dynamic scene while improving the accuracy of point-pairing which is used to perform the interpolation. We obtain a higher frame rate, spatio-temporal-coherence, and a quasi-dense point cloud sequence with color information. Experiments with real data were conducted to test the efficiency of the framework.

关键词： Multi-view video Free-viewpoint video Point-pair Multiscale-contour-based interpolation Spatio-temporal-contour Consistency Time-varying point cloud sequence

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Key features of new particle formation events at background sites in China and their influence on cloud

Xiaojing SHEN,Junying SUN,Xiaoye ZHANG,Yangmei ZHANG,Lu ZHANG,Ruxia FAN

《环境科学与工程前沿（英文）》 2016年第10卷第5期 doi: 10.1007/s11783-016-0833-2

摘要： New particle formation (NPF) event at multi rural sites in China Identifying the characteristics of NPF event Comparing NPF event between clean and polluted conditions Quantifying contribution to the cloud condensation nuclei Implication of climate and air quality Long-term continuous measurements of particle number size distributions with mobility diameter sizes ranging from 3 to 800 nm were performed to study new particle formation (NPF) events at Shangdianzi (SDZ), Mt. Tai (TS), and Lin’an (LAN) stations representing the background atmospheric conditions in the North China Plain (NCP), Central East China (CEC), and Yangtze River Delta (YRD) regions, respectively. The mean formation rate of 3-nm particles was 6.3, 3.7, and 5.8 cm ·s , and the mean particle growth rate was 3.6, 6.0, and 6.2 nm·h at SDZ, TS, and LAN, respectively. The NPF event characteristics at the three sites indicate that there may be a stronger source of low volatile vapors and higher condensational sink of pre-existing particles in the YRD region. The formation rate of NPF events at these sites, as well as the condensation sink, is approximately 10 times higher than some results reported at rural/urban sites in western countries. However, the growth rates appear to be 1–2 times higher. Approximately 12%–17% of all NPF events with nucleated particles grow to a climate-relevant size (>50 nm). These kinds of NPF events were normally observed with higher growth rate than the other NPF cases. Generally, the cloud condensation nuclei (CCN) number concentration can be enhanced by approximately a factor of 2–6 on these event days. The mean value of the enhancement factor is lowest at LAN (2–3) and highest at SDZ (~4). NPF events have also been found to have greater impact on CCN production in China at the regional scale than in the other background sites worldwide.

关键词： New particle formation Regional background Cloud condensation nuclei Growth rate Formation rate

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Building a dense surface map incrementally from semi-dense point cloud andRGBimages

Qian-shan LI,Rong XIONG,Shoudong HUANG,Yi-ming HUANG

《信息与电子工程前沿（英文）》 2015年第16卷第7期页码 594-606 doi: 10.1631/FITEE.14a0260

摘要： Building and using maps is a fundamental issue for bionic robots in field applications. A dense surface map, which offers rich visual and geometric information, is an ideal representation of the environment for indoor/outdoor localization, navigation, and recognition tasks of these robots. Since most bionic robots can use only small light-weight laser scanners and cameras to acquire semi-dense point cloud and RGB images, we propose a method to generate a consistent and dense surface map from this kind of semi-dense point cloud and RGB images. The method contains two main steps: (1) generate a dense surface for every single scan of point cloud and its corresponding image(s) and (2) incrementally fuse the dense surface of a new scan into the whole map. In step (1) edge-aware resampling is realized by segmenting the scan of a point cloud in advance and resampling each sub-cloud separately. Noise within the scan is reduced and a dense surface is generated. In step (2) the average surface is estimated probabilistically and the non-coincidence of different scans is eliminated. Experiments demonstrate that our method works well in both indoor and outdoor semi-structured environments where there are regularly shaped objects.

关键词： Bionic robot Robotic mapping Surface fusion

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基于边缘计算的软件定义云制造和柔性资源调度研究 Article

杨晨, 廖方茵, 兰舒琳, 王力翚, 沈卫明, 黄国全

《工程（英文）》 2023年第22卷第3期页码 60-70 doi: 10.1016/j.eng.2021.08.022

摘要：

本文研究的重点是在云制造环境中实现快速重构、实现灵活的资源调度、开发资源潜力以应对各种变化。因此，本文首先提出了一种新的基于云和软件定义网络（SDN）的制造模型——软件定义云制造（SDCM），该模型将控制逻辑从自动化硬件转移到软件上。这种转变意义重大，因为软件可以充当制造系统的“大脑”，并且可以轻松更改或更新以支持快速系统重新配置、运营和演进。随后，边缘计算被引入，以接近终端的计算和存储能力来补充云。另一个关键问题是管理由不同服务质量（QoS）要求的大量物联网（IoT）数据传输而导致的严重网络拥塞。基于SDCM的虚拟化和灵活的网络能力，本研究形式化了面向复杂制造任务集的时间敏感性数据流量控制问题，并考虑了子任务分配和数据路由路径选择。为了解决这一优化问题，提出了一种将遗传算法（GA）、Dijkstra 最短路径算法和排队算法相结合的方法。实验结果表明，该方法能有效地防止网络拥塞，减少SDCM中的总通信延迟。

关键词：云制造边缘计算软件定义网络工业物联网工业4.0

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基于双目立体匹配和B样条的三维人脸点云孔洞修补算法 Research Articles

黄源1,2,达飞鹏1,2

《信息与电子工程前沿（英文）》 2022年第23卷第3期页码 398-408 doi: 10.1631/FITEE.2000508

摘要：在基于结构光的三维人脸点云数据采集过程中，由于环境、遮挡以及光照强度等因素影响，采集到的数据往往会出现孔洞区域，从而影响后续识别效果。本文提出一种采用立体匹配技术结合B样条的孔洞修补方法。算法首先利用光栅投影过程中获取的相位信息定位点云中的孔洞区域，同时提取边界点集。然后将立体匹配算法获取的人脸点云数据同光栅投影法采集的数据进行配准，在孔洞处选取初始修补控制点。再利用B样条曲线形状可由少数关键点大致描述这一特性，将控制点作为关键点放入孔洞区域进行曲面重建迭代计算。仿真使用光滑陶瓷杯和人脸模型进行，结果表明，该算法能够准确再现被测物体表面的细节和复杂形状。同时也说明所提方法具有强鲁棒性，能够在完全无先验信息的情况下对物体复杂区域实现孔洞修补，并且修补后的点云更加接近原始数据。该方法可广泛应用于需要精确人脸识别的领域。

关键词：三维点云；孔洞修补；立体匹配；B样条

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三级倒立摆的云控制方法及动平衡模式

李德毅

《中国工程科学》 1999年第1卷第2期页码 41-46

摘要：

文章提出了定性和定量之间转换的云模型的形式化表示方法，用来反映语言值中蕴涵的模糊性和随机性，给出云发生器的生成算法，解释多条定性推理规则同时被激活时的不确定性推理机制。利用这种智能控制方法有效地实现了单电机控制的一、二、三级倒立摆的多种不同动平衡姿态，显示其鲁棒性，并给出了详细试验结果。研究成果不仅可用于对太空飞行器以及机器人控制，而且对揭示定性定量转换规律和策略具有普遍意义。

关键词：智能控制云模型定性推理倒立摆

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论正态云模型的普适性

李德毅,刘常昱

《中国工程科学》 2004年第6卷第8期页码 28-34

摘要：

分布函数是分析随机现象的重要工具，正态分布是最重要的概率分布，在自然科学和社会科学中应用广泛；隶属函数是模糊集合的基石，正态隶属函数也有广泛的应用。但是，精确确定一个模糊概念的隶属函数已经成为模糊学应用的瓶颈。云模型把随机性和模糊性结合起来，用数字特征熵，揭示随机性与模糊性的关联性，并用来表示一个定性概念的粒度。正态云模型通过期望、熵和超熵构成的特定结构发生器，生成定性概念的定量转换值，体现概念的不确定性。这种特定结构不但放宽了形成正态分布的前提条件，而且把精确确定隶属函数放宽到构造正态隶属度分布的期望函数，因而更具有普遍适用性，更简单、直接地完成了定性与定量之间的相互转换过程。

关键词：正态分布函数隶属度正态云模型概念粒度普适性