Large-scale spatial data visualization method based on augmented reality

Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules.

Battery Technologies for Grid-Level Large-Scale Electrical Energy Storage

Grid-level large-scale electrical energy storage(GLEES) is an essential approach for balancing the supply–demand of electricity generation, distribution, and usage. Compared with conventional energy storage methods, battery technologies are desirable energy storage devices for GLEES due to their easy modularization, rapid response, flexible installation, and short construction cycles. In general, battery energy storage technologies are expected to meet the requirements of GLEES such as peak shaving and load leveling, voltage and frequency regulation, and emergency response, which are highlighted in this perspective. Furthermore, several types of battery technologies, including lead–acid, nickel–cadmium, nickel–metal hydride, sodium–sulfur, lithium-ion, and flow batteries, are discussed in detail for the application of GLEES. Moreover, some possible developing directions to facilitate efforts in this area are presented to establish a perspective on battery technology, provide a road map for guiding future studies, and promote the commercial application of batteries for GLEES.

Validating the Runoff from the PRECIS Model Using a Large-Scale Routing Model

The streamflow over the Yellow River basin is simulated using the PRECIS （Providing REgional Climates for Impacts Studies） regional climate model driven by 15-year （1979-1993） ECMWF reanalysis data as the initial and lateral boundary conditions and an off-line large-scale routing model （LRM）. The LRM uses physical catchment and river channel information and allows streamflow to be predicted for large continental rivers with a 1°×1° spatial resolution. The results show that the PRECIS model can reproduce the general southeast to northwest gradient distribution of the precipitation over the Yellow River basin, The PRECIS- LRM model combination has the capability to simulate the seasonal and annual streamflow over the Yellow River basin. The simulated streamflow is generally coincident with the naturalized streamflow both in timing and in magnitude.

Energy-Efficient Routing Algorithm Based on Multipath Routing in Large-Scale Networks

A reduction in network energy consumption and the establishment of green networks have become key scientific problems in academic and industrial research.Existing energy efficiency schemes are based on a known traffic matrix,and acquiring a real-time traffic matrix in current complex networks is difficult.Therefore,this research investigates how to reduce network energy consumption without a real-time traffic matrix.In particular,this paper proposes an intra-domain energy-efficient routing scheme based on multipath routing.It analyzes the relationship between routing availability and energy-efficient routing and integrates the two mechanisms to satisfy the requirements of availability and energy efficiency.The main research focus is as follows:(1)A link criticality model is evaluated to quantitatively measure the importance of links in a network.(2)On the basis of the link criticality model,this paper analyzes an energy-efficient routing technology based on multipath routing to achieve the goals of availability and energy efficiency simultaneously.(3)An energy-efficient routing algorithm based on multipath routing in large-scale networks is proposed.(4)The proposed method does not require a real-time traffic matrix in the network and is thus easy to apply in practice.(5)The proposed algorithm is verified in several network topologies.Experimental results show that the algorithm can not only reduce network energy consumption but can also ensure routing availability.

Promotion of Improved Sorghum Technologies through Large-Scale Demonstration in Gololcha Woreda, Arsi Zone of Oromia Regional State, Ethiopia

The study was carried out to improve farmers’ awareness, enhance the adoption of full package sorghum production technologies. The large-scale demonstration was implemented at Gololcha woreda of Arsi zone for one year (2019/2020) using Melkam variety. The demonstration was implemented in three kebeles and a total of 100 hectares of land was covered by participating 117 household heads (farmers) out of which 12 of them were women-headed. In the demonstration farmers contributed a land size of 0.25 hectares (the minimum) and 2 hectares of land (maximum). Totally, from the demonstration 4030 quintals of sorghum were harvested with 42.3 quintals per hectare average productivity. The yield obtained by farmers practices was 18.23 q·ha-1 which is lower as compared to the average yield obtained by large scale demonstration. The technology gap (TG) was 15.70 q·ha-1 which indicated that technologies have not been adopted. Extension gap was 24.07 q·ha-1 and this result indicated that the extension approach should be more strengthened. It has been ascertained that “Melkam” variety is the best fitted variety and promotion of improved sorghum technologies via large scale demonstration has shown a considerable yield increment as compared to farmers practices. According to the farmers’ trait preference, Melkam variety was preferred by farmers because of its high yielding, consumption quality, early maturity, palatability, and drought-tolerant traits respectively. For sustainable production of improved sorghum technologies, the seed system should be taken into consideration to deliver the seed supply for the entire sorghum producers.

Application research on large-scale battery energy storage system under Global Energy Interconnection framework

In the context of constructing Global Energy Interconnection(GEI), energy storage technology, as one of the important basic supporting technologies in power system, will play an important role in the energy configuration and optimization. Based on the most promising battery energy storage technology, this paper introduces the current status of the grid technology, the application of large-scale energy storage technology and the supporting role of battery energy storage for GEI. Based on several key technologies of large-scale battery energy storage system, preliminary analysis of the standard system construction of energy storage system is made, and the future prospect is put forward.

An improved cross entropy algorithm for steelmaking-continuous casting production scheduling with complicated technological routes

In order to increase productivity and reduce energy consumption of steelmaking-continuous casting(SCC) production process, especially with complicated technological routes, the cross entropy(CE) method was adopted to optimize the SCC production scheduling(SCCPS) problem. Based on the CE method, a matrix encoding scheme was proposed and a backward decoding method was used to generate a reasonable schedule. To describe the distribution of the solution space, a probability distribution model was built and used to generate individuals. In addition, the probability updating mechanism of the probability distribution model was proposed which helps to find the optimal individual gradually. Because of the poor stability and premature convergence of the standard cross entropy(SCE) algorithm, the improved cross entropy(ICE) algorithm was proposed with the following improvements: individual generation mechanism combined with heuristic rules, retention mechanism of the optimal individual, local search mechanism and dynamic parameters of the algorithm. Simulation experiments validate that the CE method is effective in solving the SCCPS problem with complicated technological routes and the ICE algorithm proposed has superior performance to the SCE algorithm and the genetic algorithm(GA).

Exploring Hybrid Genetic Algorithm Based Large-Scale Logistics Distribution for BBG Supermarket

In the large-scale logistics distribution of single logistic center,the method based on traditional genetic algorithm is slow in evolution and easy to fall into the local optimal solution.Addressing at this issue,we propose a novel approach of exploring hybrid genetic algorithm based large-scale logistic distribution for BBG supermarket.We integrate greedy algorithm and hillclimbing algorithm into genetic algorithm.Greedy algorithm is applied to initialize the population,and then hill-climbing algorithm is used to optimize individuals in each generation after selection,crossover and mutation.Our approach is evaluated on the dataset of BBG Supermarket which is one of the top 10 supermarkets in China.Experimental results show that our method outperforms some other methods in the field.

变形翼舵技术在导弹领域的应用需求及技术发展路线

采用变形翼舵技术可解决导弹对发射平台尺寸强约束问题,改善导弹升阻比及弹道末段机动性能,实现飞行全程气动外形最优,适应多任务作战需求。对国内外变形翼舵技术发展进行了概述,介绍了变形翼舵方案组成,分析了导弹对变形翼舵技术的需求,提出了单次阶跃变形、往复伸缩变形、柔性连续变形三阶段技术发展路线以及各阶段的关键技术,为变形翼舵技术在导弹武器领域的深入研究及应用提供了参考。

应对新信息技术变革的跨学科护理专业虚拟教研室构建路径

以生成式人工智能为代表的新一轮信息技术变革正在深刻地影响着护理实践,当前大部分护理院校进行的护理专业教育困窘于强调知识、技能的传统医科知识体系的学习环境中,许多从事高等护理教育的教师在面对培养复合型护理人才使命时,难以适应新信息技术变革对多学科、多方位复合型护理人才能力的培养要求,急需与工、理、文、信息等学科教师跨界融合,组成跨学科教学共同体。虚拟教研室的出现为实现护理专业教师与工、理、文、信息等学科专业教师跨界融合提供了重要途径。笔者从应对新信息技术变革的护理专业虚拟教研室成员的遴选模式、组织管理形式、多功能硬件平台建设、云端共享护理专业教学资源制作、教学学术活动开展、教研室文化培育、教研室内部学术规范和知识产权保护制度制定方面,对新信息技术变革背景下的跨学科护理专业虚拟教研室构建路径进行了探讨,为相关护理虚拟教研室构建提供思路。

云计算智能嵌入式技术下光通信网络路由的研究

由于光通信传输带宽需求以及网络规模和复杂度不断增加,数据传输路径具有较多选择性,易导致路由能耗大、效率低。云计算平台可以提供海量的计算资源和存储空间,能够处理大规模的数据集,为此,基于云计算智能嵌入式技术研究一种光通信网络路由。利用嵌入式技术设计光通信网络的信号转换、编码、解码等功能,根据数据传输与网络节点的能耗特征建立网络路由能耗模型;引入蚁群算法,基于蚂蚁觅食原理找出所有可以实现数据传递的路由;采用遗传算法,通过选择、交叉、变异计算找出这些路由中数据传输最佳的路由,即能耗损失最小的路由。实验结果表明,所提技术能够提升数据传输速度,使丢包率在3.0%以下,且通信时延仅为23 ms,降低数据传送网络节点能量消耗,证实了所提方法的路由通信性能良好。

美国可持续航空燃料发展对我国的启示

应用可持续航空燃料(SAF)被航空业界认为是最具潜力的碳减排措施,到2050年航空业65%的碳减排将通过使用SAF来实现。美国希望凭借领先的工艺技术、充足且丰富的原材料以及补贴政策的有效激励,成为新兴SAF市场的全球领导者。未来具有较大发展前景的SAF技术路线包括酯类和脂肪酸类加氢工艺(HEFA)、费托合成工艺(FT合成)、醇喷合成工艺(ATJ)、动力合成液体燃料工艺(PtL)。美国目前主要采用的是HEFA路线,但由于面临原料短缺问题,未来将逐渐被ATJ、FT合成等路线取代。美国每年约有10×10^(8)t的生物质能够可持续地生长或收集,其中将藻类转化为可再生燃料受到了美国极大的重视。美国针对SAF政策的特点是以鼓励性、支持性为主,主要运用财政补贴、税收减免等政策手段。中国是继美国之后的第二大航空市场,对SAF有着巨大的市场需求。我国可以借鉴美国的经验,尽早建立SAF产业联盟,重视SAF原料的创新,加大SAF炼制工艺认证和认证标准的建设力度,构建积极的产业政策和财税政策,而最重要的是加强重点技术方向的研发投入和支持力度,从而降低生产成本。

科技特派员赋能乡村人才振兴适切性与进路——基于科研育人视角

在全面推进乡村振兴战略的进程中,乡村人才资源及其充分运用是关键要素,而乡村人才储备与培养不足已经成为亟需破解的问题,需要发挥各界力量参与开发与培养。科技特派员在实现科技与乡村产业发展有效融合,促进农业生产力发展等方面发挥重要作用,挖掘这部分群体参与乡村人才培养将是一支重要力量。文中从科研育人的视角分析了科技特派员赋能乡村人才振兴的适切性,提出立足“一懂两爱”,培养高素质农民、创新人才、产业链人才的进路,并以漳州职业技术学院长期以来开展的科技特派员工作为例,实践表明了,提出的科技特派员赋能乡村人才振兴进路的可行性和实效性。

基于GIS技术的复杂山区道路选线优化方法探讨

针对复杂山区道路选线的优化问题,提出以地理信息系统技术为基础,综合考虑地形特征和环境约束等因素,进行道路选线优化的方法,对道路网络模型进行地形参数的获取与处理,对道路节点及其连通性进行分析;在此基础上,设计多条件权衡算法并有效处理约束条件,以达到道路选线优化的目的。此种方法在实际应用中得到验证并取得了较好的效果。

水声通信及网络技术综述

水声通信(UAC)及网络技术在海洋环境监测、商业领域和军事领域等诸多方面发挥着重要作用,关心海洋、认识海洋、经略海洋离不开水声通信及网络技术的发展。该文对水声通信技术和水声通信网络(UACN)进行综述,首先回顾了水声通信技术和水声通信网络的发展,总结了水声信道的特点。然后,对于水声通信技术中的非相干调制技术、相干调制技术以及以应用需求为导向的新型通信技术进行陈述。随后,对于水声通信网络中数据链路层媒介接入控制协议、网络层的路由协议和跨层设计进行分类探讨。最后,对目前水声通信及网络技术的不足进行总结,并且对未来水声通信及网络技术的发展进行展望。

无人机测绘技术应用课程思政元素挖掘与实践

课程思政作为当下课堂教学改革的关键一环,正逐步发挥着育人主渠道的作用。工程测量技术专业作为国家基础设施建设的“排头兵”和“关键岗”,在提升专业技能的同时,更需要深耕思政教育,培养社会主义新时代德技双修人才。本文以工程测量技术专业开设的无人机测绘技术应用课程为例,结合人才培养定位、专业性质与特色以及职业岗位需求,从“敬业”“精准”“守规”以及劳动教育等方面挖掘课程教学中思政要素,并有机融入到教学设计实践中,为专业课程德育提供借鉴与参考。

航天复杂薄壁零件加工工艺知识图谱构建及其应用

针对航天复杂薄壁零件加工工艺数据结构化程度低、难以重用等问题,将知识图谱引入工艺设计领域,提出了一种典型的复杂薄壁零件加工工艺知识图谱构建方法。首先,自顶向下定义工艺知识层次结构,利用本体建模构建了模式层;其次,利用知识抽取、知识融合及本体关系建立的方法自底向上构建了数据层,通过Neo4j图数据库完成了模式层与数据层的映射,并实现了工艺知识的可视化表征和快速检索;然后,在构建完成的工艺知识图谱基础上,结合零件属性和特征拓扑关系的相似度实现了工艺路线推荐;最后,搭建了复杂薄壁零件加工工艺知识图谱可视化系统,并以框段类零件为例展示了工艺知识检索与工艺路线推荐功能。研究结果表明:对基于知识图谱和相似度计算的工艺路线推荐模型进行了500次测试,有94.7%的推荐列表中存在与目标零件相符的工艺路线。这证明了该工艺知识图谱的构建方法是可行的,并且其对工艺设计工作起到辅助决策作用,可以有效提高工艺查询和设计的效率。

云桂铁路总体设计及技术创新

云桂铁路为中国“八纵八横”高速铁路主通道之一“广昆通道”的组成部分,路网地位突出。根据该项目的功能定位及项目特点,结合地形地质条件、城市规划、环境敏感点、工程安全以及投资合理性等方面,分析确定合理的枢纽引入、线路走向以及重点桥梁、隧道工程方案。项目设计过程中以“系统最优、风险可控”为核心思想,开展了科技攻关和工程实践工作,取得了系列技术创新成果,具有针对性、实用性和理论性,对复杂艰险山区高速铁路建设具有重要指导意义。

振镜激光飞行焊接技术在新能源储能模组生产中的应用研究

随着新能源技术的不断进步,新能源储能模组装备的生产效率显得尤为重要。提出了一种基于振镜激光飞行焊接技术的解决方案。该方案通过设计连贯的生产设备,并引入振镜激光飞行焊接技术。振镜激光飞行焊接技术具有非接触性、高精度、动态运行等优势,能够有效缩短加工时间,提高产品质量,降低人工成本,并推动新能源产业的发展。主要论述新能源储能模组的生产设备、生产工艺路线以及振镜激光飞行焊接的优势等,经过现场调试及工艺试验,掌握了振镜激光飞行焊接核心技术,实现了新能源储能模组的稳定高效应用。并验证了其在新能源储能模组生产过程中的可行性。

离线并行软件加载技术的研究

文章基于离线型并行软件加载技术的研究,从功能、性能架构,硬件需求,硬件设计方案,软件设计方案等方面为切入点,介绍了离线型并行软件加载技术的实现方案。通过多端口适配技术、多路路由技术、上位机软件开发,实现3种模块、7个接口、19个通道、20余种程序的并行加载。该研究对于其他集成化电子装备在大规模的软件加载环节建立适合自身产品特点的软件加载提供了一定借鉴。