智慧城市多能源互联下综合能源服务商运营模式研究

智慧城市是开展多能源系统综合利用最优的实践载体,围绕智慧城市开展多能源互联的综合利用已成为综合能源服务商抢夺终端用户的主要竞争手段。对智慧城市多能源互联下综合能源服务商运营模式展开研究,分析智慧城市多能源互联运营之间的互联方式,界定综合能源服务的目标客户、业务范围、实施主体,在国内综合能源服务商经验的基础上,提出智慧城市多能源互联运营下综合能源服务商的投资模式、服务策略、盈利策略和发展策略。     

未来城市共享电动汽车发展模式

随着城市化步伐的加快，城市人口迅速增长，机动车数量急剧增多，交通堵塞与事故、机动车导致的温室气体排放增加已成为大中型城市的顽疾。在此背景下，文章分析了电动汽车共享使用涉及的相关因素，设计了以换电为核心、以充电为辅助的未来城市电动汽车智能网联共享发展模式，探索了电动汽车共享运营中的商业增值服务发展方向，研究了共享式电动汽车运行数据特征，提出了基于云-雾-边缘计算的共享电动汽车运行数据处理框架。技术经济可行性分析结果表明，该模式能极大缓解城市交通压力，有效提高电动汽车参与电网调度的能力，促使电动汽车获取较高的辅助服务收益，在新能源消纳、碳排放等领域也具有巨大的环境效益。     

非均匀缓变折射率平板波导放大器中的畸形波

以缓变波导中光束传播的非线性传输方程为研究对象,研究了非均匀缓变折射率平板波导放大器中畸形波的非线性动力学性质.通过相似变换和直接假设,构建出带有自由函数的一阶精确畸形波解.在此基础上,针对不同类型的自由函数,通过数值模拟得到了不同畸形波的波形图,对于描述光纤中出现的一些物理现象具有重要的意义.     

Application of ant colony optimization algorithm in process planning optimization

One objective of process planning optimization is to cut down the total cost for machining process, and the ant colony optimization (ACO) algorithm is used for the optimization in this paper. Firstly, the process planning problem, considering the selection of machining resources, operations sequence optimization and the manufacturing constraints, is mapped to a weighted graph and is converted to a constraint-based traveling salesman problem. The operation sets for each manufacturing features are mapped to city groups, the costs for machining processes (including machine cost and tool cost) are converted to the weights of the cities; the costs for preparing processes (including machine changing, tool changing and set-up changing) are converted to the ‘distance’ between cities. Then, the mathematical model for process planning problem is constructed by considering the machining constraints and goal of optimization. The ACO algorithm has been employed to solve the proposed mathematical model. In order to ensure the feasibility of the process plans, the Constraint Matrix and State Matrix are used in this algorithm to show the state of the operations and the searching range of the candidate operations. Two prismatic parts are used to compare the ACO algorithm with tabu search, simulated annealing and genetic algorithm. The computing results show that the ACO algorithm performs well in process planning optimization than other three algorithms.     

MSTAR图像的矩特征分析与多阈值分割

图像分割是SAR图像自动目标识别应用中的基础性问题。定义并分析了MSTAR图像的矩特征,进而构造了多阈值处理策略,用于MSTAR图像的分割。首先研究了目标、阴影,以及背景区域统计特性,并确定了相应的数学模型描述,在此基础上给出了矩特征的定义,并分析了其基本特性。通过由图像空间到矩特征空间的转换,显著增强了目标区域与阴影、背景区域的差异性,因此通过构造不同的阈值化规则,实现了MSTAR图像中目标、阴影和背景区域的分割。对MSTAR图像的处理结果表明,与恒虚警率（CFAR）、最大类间方差（OTSU）、模糊C均值（FCM）和马尔可夫随机场（MRF）等典型分割算法相比,本文方法不需进行噪声抑制,但在分割效果和鲁棒性等方面性能更好,同时,对多尺度、多目标MSTAR图像的分割也显示出良好的适应性。     

面向大型激光装置的分布式控制软件框架设计

基于对大型激光装置结构、设备组件及其监控功能的分析和抽象,提取出全装置通用的软件设备及功能组件,设计了面向大型激光装置的分布式控制软件框架。作为集中控制系统软件构建的基础,该软件框架已应用于神光Ⅲ主机的集中控制系统,在提高软件复用度、减少软件集成调试时间、提高系统设计开发集成效率和总体性能方面起到了较好的作用。     

基于模糊粗糙集和D-S证据理论的多源灌溉信息融合方法

针对多源灌溉信息决策过程中不确定性信息难以融合的问题,提出了一种基于模糊粗糙集和D-S证据理论相结合的决策融合方法。运用模糊粗糙集理论,建立基本概率分配函数,计算各灌溉因子与灌溉决策之间的依赖程度,构建多个融合灌溉因子对灌溉决策的识别框架;然后运用改进的D-S证据理论,进行多源灌溉信息决策层级的融合,最终解决不确定信息的表达和合成问题。应用上述方法对华北地区冬小麦土壤水分、光合速率和气孔导度等信息进行灌溉决策融合,结果显示：灌溉决策的不确定性由融合前的最高38%降至9.84%,该方法可有效地提高灌溉决策精度,降低灌溉决策的不确定性     

基于RFID的冷链物流监测系统的设计

低温物流运输车在食品之冷链中扮演着非常重要的角色,主要功能则是在冷冻冷藏车内所载运的食品运送的过程中,食品的温度必须保持在法规规定的范围内,严格有效地控制在特定温度下运作,才能确保产品的质量。为解决以上问题,提出一种基于RFID的低温食物冷链温度监测系统,通过放置在食品包装袋或冷藏箱内的带有温度传感器的RFID标签来实时地采集环境温度信息,并在到达仓库或者配送中心后,将数据通过RFID读取器传送至后台处理程序,利用程序对各个食品的温度数据进行监测和处理。该系统可以有效稳定地对冷链温度进行监测,以保证食品的质量。     

Leader-following consensus of high-order multi-agent linear systems with bounded transmission channels

The leader-following consensus of high-order multi-agent linear systems with bounded transmission channels is considered. Agents modelled as LTI dynamics exchange information according to a network which can be described as a graph with agents as its vertices and information transmission channels as its edges. The transmission channels are bounded. The objective is leader-following in the sense that the state of all agents should converge to that of the leader vehicle. Detailed analysis of the leader-following consensus under bounded transmission channels is investigated for both fixed and switching network topologies.     

Assessment of grassland degradation near Lake Qinghai,West China,using Landsat TM and in situ reflectance spectra data

The severity of grassland degradation near Lake Qinghai, West China was assessed from a Landsat Thematic Mapper (TM) image in conjunction with in situ samples of per cent grass cover and proportion (by weight) of unpalatable grasses (PUG) collected over 1?m² sampling plots. Spectral reflectance at each sampling plot was measured with a spectrometer and its location determined with a Global Positioning System (GPS) receiver. After radiometric calibration, the TM image was geometrically rectified. Ten vegetation indices were derived from TM bands 3 and 4, and from the spectral reflectance data at wavelengths corresponding most closely to those of TM3 and TM4. Regression analyses showed that NDVI and SAVI are the most reliable indicators of grass cover and PUG, respectively. Significant relationships between TM bands-derived indices and in situ sampled grass parameters were established only after the former had been calibrated with in situ reflectance spectra data. Through the established regression models the TM image was converted into maps of grass cover parameters. These maps were merged to form a degradation map at an accuracy of 91.7%. It was concluded that TM imagery, in conjunction with in situ grass samples and reflectance spectra data, enabled the efficient and accurate assessment of grassland degradation inside the study area.