公共图书馆播客品牌构建与营销策略研究——以多伦多公共图书馆Shelve Under播客品牌为例

播客是互联网时代的产物,自诞生之日起,经历了兴起、萎缩、停滞三个历史阶段,现又逐渐走入复苏时期。大数据技术的持续升级与快餐式阅读消费的广泛流行进一步突显了音频媒介可随性收听的优势,播客平台的发展迎来了新的机遇。文章详细阐述了播客的突出优势、国内发展现状及面临挑战等,对加拿大多伦多公共图书馆播客品牌Shelve Under进行深入挖掘,分析其品牌构建与营销特点,以期给国内公共图书馆创新音频服务提供参考,推动听力资源更好地融入大众的学习和生活。

Optimization of Engine Control Strategies for Low Fuel Consumption in Heavy-Duty Commercial Vehicles

The reduction of fuel consumption in engines is always considered of vital importance.Along these lines,in this work,this goal was attained by optimizing the heavy-duty commercial vehicle engine control strategy.More specifically,at first,a general first principles model for heavy-duty commercial vehicles and a transient fuel consumptionmodel for heavy-duty commercial vehicles were developed and the parameters were adjusted to fit the empirical data.The accuracy of the proposed modelwas demonstrated fromthe stage and the final results.Next,the control optimization problem resulting in low fuel consumption in heavy commercial vehicles was described,with minimal fuel usage as the optimization goal and throttle opening as the control variable.Then,a time-continuous engine management approach was assessed.Next,the factors that influence low fuel consumption in heavy-duty commercial vehicles were systematically examined.To reduce the computing complexity,the control strategies related to the time constraints of the engine were parametrized using three different methods.The most effective solution was obtained by applying a global optimization strategy because the constrained optimization problem was nonlinear.Finally,the effectiveness of the low-fuel consumption engine control strategy was demonstrated by comparing the simulated and field test results.

珠三坳陷珠江组一段沉积体系演化过程及其控制因素

珠江组一段沉积时期是珠三坳陷沉积体系演变的重要时期,由早期的大范围三角洲沉积体系演化为晚期的浅海陆架沉积体系,对其演化过程及控制因素展开研究,不仅有利于揭示海侵过程中沉积体系演化过程,而且对浅海陆架有利沉积相带预测具有指导意义。综合利用岩心、测井以及高分辨率三维地震资料,建立了珠三坳陷珠江组一段四级层序地层格架,通过地质-地球物理结合方法查明了珠江组一段沉积体系的时空演化特征,并讨论了沉积演化的主控因素。研究表明:珠三坳陷珠江组一段可划分为PS1、PS2、PS3、PS4共4个四级层序。PS3和PS4时期主要发育三角洲前缘沉积,具有水下分流河道、分流间湾、河口坝和远砂坝等沉积微相组合;PS1和PS2时期以浅海陆架沉积体系大规模发育为特征,在研究区西部发育潮流砂脊,东部发育滨外砂坝。珠三坳陷沉积体系的平面展布以及垂向演化受相对海平面变化、物源供给强度、构造沉降与古地貌等综合控制。水下分流河道、潮流砂脊与滨外砂坝等微相砂岩占比高且物性好,为油气储集的有利沉积相带。

面向仓库货架的商品智能拣选机器人设计

目的为降低仓储拣选作业的劳动强度、提高拣选准确率,设计一款可代替人工拣货的拣选机器人。方法基于PaddlePaddle的PP-ShiTu图像识别系统,实现货架商品的精确识别和种类的快速更新;针对低成本机械臂的视觉抓取问题,提出基于“无标定3D视觉+AGV运动控制”的货架商品抓取引导方法;采用二维码自主导航和智能升降系统实现了货架商品的搬运和立体抓取。结果实验证明,所设计的拣选机器人实现了货架商品的精确抓取和搬运,测试准确率达到了92.25%。结论基于该方法构建的智能拣选机器人,可以完成仓库货架商品的拣选和搬运。

内部控制视角下高校图书馆资源风险探究

从内部控制的角度出发对图书馆资产管理、典藏文献布局和多数据库协同管理3个方面存在的风险进行分析,针对图书馆资源管理工作中存在的账实不符、排架不合理、多数据库协同不足的风险,进一步提出了建立多系统映射管理方法的建议。包括将资产管理系统与图书管理系统建立关联、制定满架后下架本类最先索书号图书并上架新索书号图书的布局策略、利用射频识别(Radio Frequency Identification,RFID)技术进行分布式盘点,通过扫描对比排序来判断架位顺序,进而得出图书馆应重视资源建设的管理,规避风险。

Topology optimization of modular structures with multiple assemblies and applications to airborne shelves

This work is devoted to the aeronautical application of topology optimization for modular structures with multiple assemblies that consist of repeated standard modules and optional reinforcements.These kinds of structures are widely used owing to their transportability,reconfigurability,low manufacturing and service costs.In this work,the design of airborne shelves with modular structures characterized by the standard module configuration is formulated for the first time as a topology optimization problem of multiple assemblies and multiple load cases subjected to the volume constraint.It is shown that the weighted compliance design of multiple assemblies is a compromising solution compared to the optimization result of each individual assembly of standard modules.Meanwhile,the performance of optimized airborne shelves with the modular structures can effectively be ameliorated with the help of reinforcements.

Status and trends in the stability of the three largest ice shelves in Antarctica

The Ross,Filchner-Ronne,and Amery ice shelves are the three largest ice shelves in Antarctica,playing a crucial role in supporting the Antarctic ice sheet.However,current studies on the stability of the three largest ice shelves primarily focus on singular or limited factors,lacking a comprehensive assessment of multiple parameters.To systematically and in-depth study the stability and trend of the three largest ice shelves,we comprehensively collected and analyzed key parameters,including elevation changes,basal melting,surface meltwater,major rifts propagation rate,suture zones,ice front area change rate,grounding lines,ice velocity,and mass balance.Additionally,we selected the collapsed Larsen B Ice Shelf(LBIS),the rapidly changing and structurally weakened Pine Island Ice Shelf(PIIS),and the accelerating Totten Ice Shelf(TIS)as reference ice shelves.By comparing and analyzing the key parameters between these reference ice shelves and the three largest ice shelves,we find the status and trends in the stability of the latter.Our findings reveal that most key parameters of the three largest ice shelves present relatively minor variations compared to those of the reference ice shelves.Specifically,50%of the parameters are smaller than those of the accelerating TIS,88%are smaller than those of the rapidly changing PIIS,and all parameters are smaller than those of the collapsed LBIS.Furthermore,after analyzing parameters that are not smaller than those of the TIS,it is observed that they remain in a stable state.Hence,the three largest ice shelves are currently undergoing natural changes that do not threaten their stability in the short term.Nevertheless,the evolution of the ice shelves under global climate change remains uncertain,making long-term observation and monitoring essential to assess their impact on sea level rise.

钢筋混凝土扶壁卸荷板组合挡土墙卸荷效应研究

为了解决高填方边坡挡土结构内力大和工程成本高等难题,提出钢筋混凝土扶壁+卸荷板组合挡土墙形式,利用卸荷板的卸荷效应,降低墙后土压力,减小结构内力。将库伦滑动楔体理论和Klein方法结合,给出组合挡土墙土压力计算方法和挡土墙理论计算方法。针对大连20.5 m高填方边坡工程,采用组合挡土墙方案及理论计算方法,并研究组合挡土墙卸荷效应影响因素。结果表明:组合挡土墙结构剪力和弯矩的最大值均比扶壁式挡土墙的小将近1/3;现场监测结果与理论计算结果比较接近;影响组合挡土墙卸荷效应的因素主要是卸荷板埋置深度和卸荷板长度;从结构剪力及弯矩均衡的角度考虑,卸荷板最优设置方案为,卸荷板埋置深度为挡土墙高度的中间位置,卸荷板长度与其对应的挡墙段高度比值为1.2~1.5。

Robust Parameter Identification Method of Adhesion Model for Heavy Haul Trains

A robust parameter identification method based on Kiencke model was proposed to solve the problem of the parameter identification accuracy being affected by the rail environment change and noise interference for heavy-duty trains. Firstly, a Kiencke stick-creep identification model was constructed, and the parameter identification task was transformed into a quadratic programming problem. Secondly, an iterative algorithm was constructed to solve the problem, into which a time-varying forgetting factor was added to track the change of the rail environment, and to solve the uncertainty problem of the wheel-rail environment. The Granger causality test was adopted to detect the interference, and then the weights of the current data were redistributed to solve the problem of noise interference in parameter identification. Finally, simulations were carried out and the results showed that the proposed method could track the change of the track environment in time, reduce the noise interference in the identification process, and effectively identify the adhesion performance parameters.

钢筋混凝土排架结构厂房再生利用施工安全风险预警

为确保钢筋混凝土排架结构厂房再生利用施工过程中的结构安全,在系统梳理钢筋混凝土排架结构厂房再生利用施工安全风险主要影响因素和控制要点的基础上,通过对再生利用施工安全模拟与监测内容的分析,构建了包括5个一级指标、16个二级指标、45个量化指标的再生利用施工安全风险预警指标体系;在预警方法对比分析的基础上,基于改进的广义回归神经网络(General Regression Neural Network, GRNN)算法构建了钢筋混凝土排架结构厂房再生利用施工安全风险预警模型,并以多个工程项目为实例,实现了数据降维(特征主元提取)后的单因素风险与多因素风险预警,最后与现场实际情况进行对比分析,验证了模型的可靠性。研究表明,该模型是核主成分分析(Kernel Principal Component Analysis, KPCA)-量子粒子群算法(Quantum Particle Swarm Optimization, QPSO)-GRNN方法的有机结合,为定量研究钢筋混凝土排架结构厂房再生利用施工安全风险预警提供了新的思路。

催化裂化装置工艺报警管理与优化

以国内某套催化裂化装置为例,分析了催化裂化装置过程报警问题产生的原因。针对每个原因制定出报警优化方案:更改报警阈值、控制回路整定、设置死区、设置报警延迟和报警搁置。通过实施优化方案,该套催化裂化装置过程报警问题得到根本性解决,报警KPI(关键性能指标)显著提升,10 min平均报警数达到0.4,较优化前降低69.23%;响应率达到100%,较优化前提高15.96%;处置率达到100%,较优化前提高14.17%;24 h持续报警数为0,较优化前降低100%。

国内搁置海船海事监管对策研究

船舶搁置存在许多安全风险和隐患,目前国内法规对于船舶搁置状态下的相关规定并不明晰,海事监管存在模糊地带,通过研究国内搁置海船的海事监管对策,旨在助企纾困并做好搁置海船的监管与服务工作。

上海地区电力排管施工现场装配式材料置物架开发研究

为了解决上海地区电力排管施工现场因场地狭长、材料繁多、周转期短等问题,本文研发了一种安全可靠、节能环保的装配式材料置物架。该置物架模块化的安装可以满足不同材料的堆放;集成化的堆放架可在短时间内完成安全、美观的要求;轻型硬质材料和易搬运的构造可降低运维成本。该设计利用BIM软件完成产品三维模型,包括整体产品装配方式,各个结构部件造型,实现产品可视化,并完成产品的小规模试制。

企口叠合梁在装配式建筑中的应用与思考

随着我国“双碳”政策及智能建造和装配式建筑政策与技术大力推广,大量重载物流园仓储项目引入企口做法的装配式建造技术,基于搁置长度误差大及汽车吊上楼面作业,对预应力企口叠合梁梁端承载力等进行了研究。对搁置长度不足导致构件承载力下降提出了企口叠合梁相应的补强措施,补强效果明显,切实可行,为同类工程提供了一定的数据依据,具有一定工程实践意义。

论汉语词典编纂中处理异形词规范问题的三大策略

处理异形词规范问题有三大策略,即取舍法、分化法、搁置法。以《现代汉语词典》在处理异形词时的编纂理念为例探讨如何运用这三大策略处理异形词规范问题是一个十分有效的研究方法。取舍法、分化法、搁置法并不是相互割裂的,而是一个有机整体,所以不能顾此失彼。处理异形词规范问题的三大策略对其他语文辞书的编修和异形词规范文件的制定具有一定的参考作用。

Excel软件在缺少中转库的批量图书倒架中的应用——以天津外国语大学图书馆为例

随着图书馆藏书量、阅览量、容纳读者量的增加,天津外国语大学图书馆专业文献阅览室与时俱进,为更好地服务于馆藏建设,将传统闭架管理模式转变为开架管理模式,由此带来需要大规模倒架的问题,在缺少中转库的情况下,通过使用Excel软件对图书信息进行数据化、建立索引库、预置中转空间、进行模拟排架,避免重复排架,大大提高倒架效率,降低人力成本。

‘皇冠’梨双臂顺行式棚架改造技术

梨树双臂顺行式棚架栽培模式在高品质、省力化、机械化方面优势明显,是近年来推广应用最快的梨树栽培模式之一。作者介绍了河西地区‘皇冠’梨双臂顺行式棚架改造技术,包括树形改造、棚架搭建、整形修剪等,为纺锤树形‘皇冠’梨改造为双臂顺行式棚架结构的示范应用提供技术参考。

南京某文娱中心大跨空间钢结构设计

南京某文娱中心为造型复杂的大跨空间钢结构体系,由异型屋面、超高排架柱和高大抗风幕墙构成。为满足屋面建筑造型和屋顶排烟等需求,提出了双向变高度的折板网架屋盖结构形式,最大限度降低了二次找坡的用钢量。基于可视化编程平台Grasshopper,通过分区处理的方式实现了屋盖的参数化建模,后导入3D3S进行结构分析和设计,结果表明该屋盖整体刚度较好,满足设计要求。屋盖下方采用25根无侧向支撑的超高排架柱提供支承,针对柱高10~60m的情况,对比了混凝土柱、四肢钢管格构柱、四肢钢管混凝土格构柱在截面、成本和功能等角度的差异,最终确定采用经济性和功能均较好的四肢钢管格构柱。根据不同区域特点,将抗风幕墙分为落地幕墙和吊挂幕墙,探讨了它们与主体结构的连接方式,并针对落地幕墙进行了平面桁架、立体桁架和实腹箱形柱3种幕墙结构方案的比选,最终采用成本最低的平面桁架方案。

Method for Analyzing Articulated Torques of Heavy-duty Six-legged Robot

The accuracy of an articulated torque analysis influences the comprehensive performances of heavy-duty multi-legged robots. Currently, the extremal estimation method and some complex methods are employed to calculate the articulated torques, which results in a large safety margin or a large number of calculations. To quickly obtain accurate articulated torques, an analysis method for the articulated torque is presented for an electrically driven heavy-duty six-legged robot. First, the rearmost leg that experiences the maximum normal contact force is confirmed when the robot transits a slope. Based on the ant-type and crab-type tripod gaits, the formulas of classical mechanics and MATLAB software are employed to theoretically analyze the relevant static torques of the joints. With the changes in the joint angles for the abductor joint, hip joint, and knee joint, variable tendency charts and extreme curves are obtained for the static articulated torques. Meanwhile, the maximum static articulated torques and the corresponding poses of the robot are also obtained. According to the poses of the robot under the maximum static articulated torques, ADAMS software is used to carry out a static simulation analysis. Based on the relevant simulation curves of the articulated torques, the maximum static articulated torques are acquired. A comparative analysis of the maximum static articulated torques shows that the theoretical calculation values are higher than the static simulation values, and the maximum error value is approximately 10%. The proposed method lays a foundation for quickly determining accurate articulated torques to develop heavy-duty six-legged robots.

Actualities and Development of Heavy-Duty CNC Machine Tool Thermal Error Monitoring Technology

Thermal error monitoring technology is the key technological support to solve the thermal error problem of heavy-duty CNC （computer numerical control） machine tools. Currently, there are many review literatures intro- ducing the thermal error research of CNC machine tools, but those mainly focus on the thermal issues in small and medium-sized CNC machine tools and seldom introduce thermal error monitoring technologies. This paper gives an overview of the research on the thermal error of CNC machine tools and emphasizes the study of thermal error of the heavy-duty CNC machine tool in three areas. These areas are the causes of thermal error of heavy-duty CNC machine tool and the issues with the temperature moni- toring technology and thermal deformation monitoring technology. A new optical measurement technology called the ＂fiber Bragg grating （FBG） distributed sensing tech- nology＂ for heavy-duty CNC machine tools is introduced in detail. This technology forms an intelligent sensing and monitoring system for heavy-duty CNC machine tools. This paper fills in the blank of this kind of review articlesto guide the development of this industry field and opens up new areas of research on the heavy-duty CNC machine tool thermal error.