Digital Infrastructure and Common Prosperity: An Influence Mechanism and Effect Test

Common prosperity is an important goal of China’s modernization efforts,and narrowing the income gap among different regions and populations is crucial to achieving common prosperity.The construction of digital infrastructure has significantly boosted productivity and facilitated the diffusion of technology in less developed regions,leading to notable changes in labor employment and the income gap,which aligns with the goal of common prosperity.This paper explores the mechanism through which digital infrastructure influences common prosperity with a focus on employment,using panel data from 30 provinces in China between 2011 and 2021 for an empirical test.The research finds that digital infrastructure significantly promotes common prosperity.By expanding employment and increasing labor remuneration,the influence of digital infrastructure on common prosperity exhibits regional heterogeneity and a nonlinear threshold effect.The research suggests that the government should enhance investment in and construction of digital infrastructure,reduce the digital divide through policy support in rural areas,promote digital employment and skills training,and encourage industrial integration and enterprise participation.

Developing Healthcare Infrastructure in Saudi Arabia Using Smart Technologies: Challenges and Opportunities

This study aims to explore the challenges and opportunities associated with developing healthcare infrastructure in Saudi Arabia through the implementation of smart technologies. The healthcare sector in Saudi Arabia is undergoing significant transformation, and the integration of smart technologies has the potential to revolutionize healthcare delivery, improve patient outcomes, and enhance the overall healthcare experience. However, several challenges need to be addressed in order to fully leverage the benefits of smart technologies in healthcare infrastructure development. This research identifies and analyzes these challenges while also highlighting the opportunities that arise from the adoption of smart technologies in the Saudi Arabian healthcare system. The findings contribute to the understanding of the current state of healthcare infrastructure in Saudi Arabia and provide insights into the strategies and policies required to overcome challenges and maximize the benefits of smart technologies in healthcare.

Tunnel, Infrastructure Convergences/Monitoring and Engineering Role

Worldwide we see that the construction industry is expanding, requiring new directions, new perspectives that can help reduce time, cost, and make transportation easy, safe, and affordable. For decades now, most of the large cities have completed their surface infrastructure. It has become urgent to address their issues for overpopulated cities where nowadays all infrastructure is overwhelmed, these issues must be addressed, solved and have vision to build underground infrastructure. Developed countries are focused on expanding their infrastructure for road systems, subway network, railway, storm, and sanitary systems. The emergency for underground infrastructure development requires more large-scale projects to be built and it is becoming more crucial building tunnels/underground structures for the future than ever before. Engineering focus, scientific searches are looking to develop their ideas for designing and delivering project underground, but government, agencies and engineers are concerned about the safety, durability, functionality, and the lifetime of this structures planned to be functional for decades. To address all this concerns this study provides information of how to identify the risk on tunnels and underground structures by capturing data from the beginning phases of construction, to analyze, evaluate and produce bulletins and engineering reports through convergences and monitoring. Convergences are the key factor on development of infrastructure underground as it is the only way to explore and analyze the rock mass disturbance during excavation. Convergences and monitoring in infrastructure are the safety coefficient for building underground, preventing accidents, and assessing real risks associated with tunnel/mine works and ensuring progress of the construction in underground structures. This study delves into the engineering role of convergence monitoring, during construction activities on project excavated using New Austrian Tunnelling method and Sequential Excavation Method. The primary objective of convergence monitoring is to gather critical information on ground movements and disturbances, thereby enhancing safety measures during tunnel construction. The monitoring process serves as an early warning system offering evidence of the real risks associated with underground infrastructure, bringing results and engineering data to be used for the design as key coefficient for structural design, type of material, type and strength of the concrete, rebars, concrete mix design. By using the convergence and monitoring system on underground infrastructure this study represents information that can contribute to risk assessment, structural analysis, and the lifetime of a project.

Digital Transformation Trend of the Pharmaceutical Distribution Industry in the Context of New Infrastructure in China

Objective To study the pharmaceutical distribution industry against the background of new infrastructure construction since it is vital to the health and life of the public,and to offer some suggestions to further improve the industry quality and achieve industry upgrading.Methods The national strategies for new infrastructure as well as the underlying logic for enterprise digital transformation were analyzed to provide the outlook on the digital transformation trend of the pharmaceutical distribution industry.Results and Conclusion In the future,the pharmaceutical distribution industry shall transform the pattern,channel,management and control,and experience in the entire business chain in a digital way by focusing on connection efficiency,data efficiency and decision-making efficiency.

基于GIS与大数据分析的矿压监测预警平台

为响应国家关于加快煤矿智能化发展的号召,针对煤矿GIS“一张图”中巷道路径不能实现精确计算,矿压数据不能实现高效甄别、有效提取的问题,以及矿压预警需要实现在线推演、可视化展示的需求,提出建立基于GIS与大数据分析的矿压监测预警平台。采用GIS“一张图”、巷道结点-路径拓扑算法、多源异构监测数据处理技术、矿压大数据分析技术,搭建成能够实现矿井下复杂情况切实反映、矿压监测数据有效提取、采掘风险在线预测、可视化程度高的矿压监测预警平台。通过在李雅庄矿的实际应用,表明该系统运行稳定可靠,可有效提升煤矿的矿压风险监测预警。

恒压下GIS固体绝缘界面气隙缺陷放电严重程度评估

为了研究GIS绝缘子界面气隙缺陷的放电发展过程,文中设计了空洞气隙缺陷模型,搭建了一套GIS气隙缺陷放电长期测试平台。基于缺陷模型的击穿电压对带有缺陷的试品施加90%Ub、60%Ub、30%Ub的交流恒压,使用UHF检测系统采集放电数据直至试品击穿。提取放电次数、放电幅值、放电时间间隔分析放电状态特征,发现GIS气隙缺陷放电发展过程存在两个阶段,前期放电幅值缓慢增大,放电脉冲逐渐稀疏,放电发展较为平稳;后期放电幅值急剧减小,放电脉冲密集,放电发展剧烈,采用k⁃means聚类算法及BP神经网络建立了气隙缺陷局放发展阶段的划分规则。研究表明,放电次数、放电幅值、放电时间间隔3种统计参量呈现阶段式单调性的趋势,可以用3种统计参量前向差分绝对值作为特征参量来评估GIS气隙放电严重程度;对GIS恒压试验进行聚类分析将放电过程划分为平稳劣化阶段和加速劣化阶段,随着外施电压水平的降低,平稳劣化阶段被压缩,加速劣化阶段占比升高。

基于GIS的公交换乘网络构建及可达性分析

为了提高公交换乘效率、优化公交系统,基于GIS软件构建公交换乘网络,运用该网络对换乘可达性进行了测度和分析.结合Space-P模型和网络分析法,以拉萨市城关区为研究区域,基于公交线路路径、站点、交叉口等基本信息构建同站换乘子网络.结合公交站点服务范围、步行通道路径、交叉口等信息构建异站换乘子网络.二者协同实现了基于ArcGIS的公交换乘网络构建,并依据该网络对公交线路的乘客在车时间和换乘系数进行测度和分析.结果表明:构建的换乘网络能够对乘客在车时间进行良好的测度,乘客在车时间最大值为68.68 min,最小值为2.00 min,乘客换乘在车时间平均值为29.90 min.该换乘网络能够对换乘系数进行良好的测度,得到有效换乘线路90 300条,换乘系数最大为4条(线路为62条),最小为0条(线路为1 354条).采用可达性度量模型,可实现对公交站点时间可达性和换乘可达性的良好测度和分析.

直流电压下GIS盆式绝缘子表面电荷及电场分布特性仿真研究

GIS中盆式绝缘子表面在外施直流电压时会积聚大量电荷使得沿面闪络电压大幅降低,从而引发一系列电气设备故障。基于上述问题,文中分析了盆式绝缘子表面电荷的来源与传导途径,采用有限元仿真计算方法构建了二维轴对称仿真模型以及设定相关参数,研究了电压极性、不同电压幅值以及电压极性反转对盆式绝缘子表面电荷分布的影响。结果表明,在直流电压下,凹面主要积聚与外施直流电压极性相反的电荷,凸面主要积聚与直流电压极性相同的电荷,且凹面积聚的电荷密度更大;在极性反转后-100 kV直流电压下,盆式绝缘子表面原先积聚的电荷密度呈现先增大后逐渐减小的趋势,随后转换极性并达到饱和,电场在靠近高压端以及盆式绝缘子沿面0~20 mm处的畸变程度较为明显。电场在盆式绝缘子表面电荷极性发生变化前出现峰值,相比较电荷达到饱和状态,此时盆式绝缘子凹面最大场强增加46%,凸面最大场强增加5.4%。该研究可为直流电压下盆式绝缘子表面电荷分布特性提供指导。

基于双回路反馈的光纤干涉式GIS局部放电超声传感系统研究

光纤干涉式GIS局部放电超声传感系统受到环境干扰,会导致超声检测灵敏度降低。基于单回路反馈的传感系统能够抑制振动干扰,但长时间工作仍会出现工作点漂移。文中首先分析了单回路反馈传感系统工作点漂移的原因,指出了压电陶瓷迟滞效应的影响;其次,搭建了基于双回路反馈的光纤干涉式GIS局部放电超声传感系统,引入了二次反馈回路以补偿一次反馈回路累积的低频相位调制误差;再次,通过振动干扰下的超声检测试验和GIS局部放电检测试验,证明了双回路反馈传感系统能够长时间保持稳定的超声检测灵敏度;最后,搭建了真型126 kV GIS局部放电检测试验平台,利用双回路反馈传感系统成功检测到了金属颗粒引发的局部放电和跳动声信号,检测到的最小视在放电量为5.2 pC。

基于GIS的大汶河流域生态敏感性研究

生态敏感性评价在推进区域经济高质量发展、制定区域生态环境政策和地区城乡规划布局中扮演重要角色。以黄河下游山东省大汶河流域为研究区域,依据气象因素、地形因素和社会经济因素三个层面选取了12项敏感指标因子构建了大文河流域生态敏感评价体系,并利用地理信息技术软件GIS与层次分析法对其进行生态敏感性综合评价。研究表明:大汶河流域气象敏感性主要表现为中高敏感度,地形敏感性主要表现为中低敏感度,社会经济敏感性主要表现为中高敏感度;综合敏感性评价中,大汶河流域极低度敏感区和低敏感区面积为3024.35 km^(2),占全流域面积的27.24%,适宜进行高强度的土地开发;中度敏感区面积为2738.76 km^(2),占全流域面积为24.67%,可适度开发利用土地;极高敏感区和高度敏感区面积为5319.07 km^(2),占全流域面积为47.93%,不适宜对土地进行开发利用。

Mayr电弧模型下GIS中快速暂态过电压的仿真分析

SF6气体绝缘封闭组合开关(GIS)中隔离开关进行分合母线时,产生快速暂态过电压(VFTO),幅值高且上升速率极快,威胁GIS及相邻设备的绝缘。选取某800 kV GIS隔离开关分合母线的试验电路为研究对象,采用电磁暂态程序(EMTP/ATP)进行建模仿真,隔离开关燃弧时采用Mayr电弧模型,分析其对VFTO的影响,得出考虑Mayr电弧模型时操作隔离开关、断路器侧隔离开关及变压器侧隔离开关的电压波形,并与考虑时变电阻模型的VFTO进行对比。对VFTO波形进行离散傅里叶分析,得到过电压频率、幅值的变化特征,研究结果为GIS绝缘设计提供参考。

交叉学科视角下的“人文社会GIS”课程教学探索

人文社会地理信息系统(geographical information system, GIS)源于人文科学、社会科学和地理信息科学等多个学科的交叉融合,属于自然科学与人文社会科学的学科交叉领域.本文依托南京师范大学长期开展地理信息科学与人文社会科学交叉融合的科研和教学成果,系统分析了人文社会GIS的交叉学科特性,提出了人文社会GIS的内涵和知识体系,设计了“人文社会GIS”课程的创新教学模式,形成了有代表性的学科交叉课程教学实践案例,对于开展“新工科”和“新文科”背景下的交叉学科研究和复合型人才培养具有较好的参考价值.

基于多层融合振动数据分析的GIS设备机械缺陷诊断方法研究

气体绝缘金属封闭开关设备(gas insulated metal enclosed switchgear,GIS)机械缺陷是导致设备故障的重要因素,针对单测点、单证据机械缺陷诊断模型信息缺失和精度不足问题,该文提出一种多层融合振动数据分析的GIS设备机械缺陷诊断方法。首先,基于真型GIS设备振动模拟平台试验研究测点位置与缺陷类型对振动行为的影响特性;然后,联合统计分析、模态分解、尺度变换方法提出机械振动信号整体与局部信息关注的复合参数分析方法,引入主成分分析开展多测点振动信息的特征层融合降维;最后,提出改进放缩权重的Dempster-Shafer(DS)证据理论和Bagging投票机制的强/弱基学习器决策层融合机制,联合构建多层融合振动数据分析的GIS设备机械缺陷诊断模型。结果表明:不同类型机械缺陷信号的响应幅值、特征频点和畸变程度存在显著差异,复合特征参量大小及分散程度各不相同;同时,测点位置对缺陷信号的复合振动特征参量的表现形式及分布区间也具有一定影响;基于多层融合数据分析的诊断模型实现缺陷有效识别,辨识准确率为98.66%,相比单一分类器诊断效果提升5.83%。该文可为GIS设备机械缺陷诊断方法提供有价值的参考。

基于GIS技术的区域多尺度空间数据集成方法

区域多尺度空间数据,其量较大,其来源、格式、特点、性质不同,数据在逻辑上或物理上的有机集中比较困难,容易导致集成路径拥塞,集成效率下降。为此,提出了一种基于GIS技术的区域多尺度空间数据集成方法。利用GIS技术搭建区域多尺度空间数据挖掘架构,结合数据转换矩阵构建多尺度空间数据库。根据多尺度空间数据库中拥塞窗口状态集合,采用不同策略对数据集成路径进行拥塞控制,通过确定理想集成效率而选择多尺度空间数据集成路径。计算不同集成路径上空间数据特征向量之间的紧密度,结合相异度阈值和空间数据权重构建数据集成函数,实现区域多尺度空间数据集成。实验结果表明:所给方法在有、无人工干预的情况下,集成延时分别控制在7 min以内和5 min以内,数据集成效率较高。

“互联网+”背景下GIS开发类课程群建设探索

在“互联网+”背景下,针对教学目标单一、教学与科研相对分离、课程体系相对混乱的问题,本研究提出要进行教学目标改革,培养创新应用型人才。教学模式创新改革可以按照“课程+专业+学科”及“教学+竞赛+科研”的总体思路,推动GIS专业开发类课程的全面优化与整合;探索课程体系建设,构建GIS开发类课程群的“四类一体”课程体系。实践表明,GIS开发类课程群建设取得了较好的效果,很大程度上促进了学生端正学习态度,提高了学生的自主学习与科研创新能力,形成了具有良性循环特征的GIS开发类课程教学体系。

基于GIS的农田墒情管理系统应用研究

以农田土壤墒情监测过程和数据分析与管理过程为研究对象,建立农田土壤墒情监测和数据分析过程模型,对当前农田土壤墒情监测过程中的不足进行分析,并结合无线网络传输技术和GIS地理信息技术构建农田墒情管理系统功能模块,实现土壤墒情数据采集、分析处理及管理输出。农田墒情管理系统运行结果表明:系统能够实时快速对农田土壤含水量进行监测,同时能够对土壤水分含量数据动态变化过程进行管理,便于土壤水分含量变化趋势的预测。

基于苦荞的低GI高膳食纤维面条挤压工艺研究

本研究以挤出改性苦荞粉为基料,添加复合膳食纤维,研制低GI高膳食纤维面条,采用单因素和响应面试验优化面条的最佳工艺参数。结果表明:当螺杆转速22.36 Hz、水分添加量24.51%、挤出温度88.67℃时,以苦荞为基料的低GI高膳食纤维面条的感官评分最高为93.64分。对苦荞营养面条感官评分的影响因素从大到小为:螺杆转速>水分添加量>挤出温度。本研究利用苦荞低GI高膳食纤维的特性,采用双螺杆挤出技术开发出一款适合三高人群的产品。

基于GIS的宁夏枸杞花期冻害风险分析与区划

宁夏具有独特的地理环境和气候条件,是我国重要的枸杞产区。宁夏枸杞具有品质优良、营养丰富的特点,但枸杞花期冻害是影响其产量和品质的重要因素之一。采用GIS技术,结合气象数据、地形地貌数据、土壤数据等,对宁夏枸杞花期冻害风险进行分析与区划,为宁夏枸杞产业防灾减灾体系建设提供参考。

基于情绪计算的GIS硕士面试成绩预测

针对组织GIS专业学生面试带来人力资源与时间成本大的问题,本研究基于真实面试的视频数据和专家综合打分数据,通过人脸情绪识别与构建特征工程,使用包括偏最小二乘回归、支持向量回归、随机森林回归和梯度提升回归树的4种机器学习模型进行回归模型构建,探究情绪特征与面试成绩的关系。结果表明偏最小二乘回归模型的稳定性和泛化能力在本应用中更好,模型的决定系数为0.486。进一步分析发现,基本情绪中,我们定义的“负面情绪”与面试成绩呈显著负相关;而中性情绪、积极情绪与面试成绩呈显著正相关。本研究为GIS人才面试评估的自动化做出了有益的探索。

霜桑叶粉杂粮面条配方优化及其低GI验证

为改善面条的品质和降低血糖生成指数(glycemic index, GI),研究将霜桑叶粉、魔芋精粉和燕麦粉与小麦面粉搭配制作面条,通过单因素试验并结合L9(33)正交试验,以面条蒸煮特征和感官品质为评价标准,优化出霜桑叶粉杂粮面条配方并分析血糖生成指数。结果表明,适量添加霜桑叶粉、魔芋精粉和燕麦粉均能显著改善霜桑叶粉杂粮面条品质,三种成分的最佳添加质量分数分别为6%、10%和15%;燕麦粉对面条感官具有极显著影响,霜桑叶粉和魔芋精粉对面条感官具有显著影响,其影响顺序为:燕麦粉>霜桑叶粉>魔芋精粉。以该配方制作的霜桑叶粉杂粮面条感官评价均分达85.75,且能显著降低人体血糖浓度,GI值为46.08(低GI食品的标准是GI≤55),是一款低GI面制品。此项研究为桑叶的综合利用和低GI食品的研发提供技术支持。