Study on Licker-In and Flat Speeds of Carding Machine and Its Effects on Quality of Cotton Spinning Process

Spinning has a significant influence on all textile processes. Combinations of all the capital equipment display the process’ critical condition. By transforming unprocessed fibers into carded sliver and yarn, the carding machine serves a critical role in the textile industry. The carding machine’s licker-in and flat speeds are crucial operational factors that have a big influence on the finished goods’ quality. The purpose of this study is to examine the link between licker-in and flat speeds and how they affect the yarn and carded sliver quality. A thorough experimental examination on a carding machine was carried out to accomplish this. The carded sliver and yarn produced after experimenting with different licker-in and flat speed combinations were assessed for important quality factors including evenness, strength, and flaws. To account for changes in material qualities and machine settings, the study also took into consideration the impact of various fiber kinds and processing circumstances. The findings of the investigation showed a direct relationship between the quality of the carded sliver and yarn and the licker-in and flat speeds. Within a limited range, greater licker-in speeds were shown to increase carding efficiency and decrease fiber tangling. On the other hand, extremely high speeds led to more fiber breakage and neps. Higher flat speeds, on the other hand, helped to enhance fiber alignment, which increased the evenness and strength of the carded sliver and yarn. Additionally, it was discovered that the ideal blend of licker-in and flat rates varied based on the fiber type and processing circumstances. When being carded, various fibers displayed distinctive behaviors that necessitated adjusting the operating settings in order to provide the necessary quality results. The study also determined the crucial speed ratios between the licker-in and flat speeds that reduced fiber breakage and increased the caliber of the finished goods. The results of this study offer useful information for textile producers and process engineers to improve the quality of carded sliver and yarn while maximizing the performance of carding machines. Operators may choose machine settings and parameter adjustments wisely by knowing the impacts of licker-in and flat speeds, which will increase textile industry efficiency, productivity, and product quality.

Study on Licker-In and Flat Speeds of Carding Machine and Its Effects on Quality of Cotton Spinning Process

Spinning has a significant influence on all textile processes. Combinations of all the capital equipment display the process’ critical condition. By transforming unprocessed fibers into carded sliver and yarn, the carding machine serves a critical role in the textile industry. The carding machine’s licker-in and flat speeds are crucial operational factors that have a big influence on the finished goods’ quality. The purpose of this study is to examine the link between licker-in and flat speeds and how they affect the yarn and carded sliver quality. A thorough experimental examination on a carding machine was carried out to accomplish this. The carded sliver and yarn produced after experimenting with different licker-in and flat speed combinations were assessed for important quality factors including evenness, strength, and flaws. To account for changes in material qualities and machine settings, the study also took into consideration the impact of various fiber kinds and processing circumstances. The findings of the investigation showed a direct relationship between the quality of the carded sliver and yarn and the licker-in and flat speeds. Within a limited range, greater licker-in speeds were shown to increase carding efficiency and decrease fiber tangling. On the other hand, extremely high speeds led to more fiber breakage and neps. Higher flat speeds, on the other hand, helped to enhance fiber alignment, which increased the evenness and strength of the carded sliver and yarn. Additionally, it was discovered that the ideal blend of licker-in and flat rates varied based on the fiber type and processing circumstances. When being carded, various fibers displayed distinctive behaviors that necessitated adjusting the operating settings in order to provide the necessary quality results. The study also determined the crucial speed ratios between the licker-in and flat speeds that reduced fiber breakage and increased the caliber of the finished goods. The results of this study offer useful information for textile producers and process engineers to improve the quality of carded sliver and yarn while maximizing the performance of carding machines. Operators may choose machine settings and parameter adjustments wisely by knowing the impacts of licker-in and flat speeds, which will increase textile industry efficiency, productivity, and product quality.

3D Model Reconstruction Based on Process Information

The traditional strategy of 3D model reconstruction mainly concentrates on orthographic projections or engineering drawings. But there are some shortcomings. Such as, only few kinds of solids can be reconstructed, the high complexity of time and less information about the 3D model. The research is extended and process card is treated as part of the 3D reconstruction. A set of process data is a superset of 2D engineering drawings set. The set comprises process drawings and process steps, and shows a sequencing and asymptotic course that a part is made from roughcast blank to final product. According to these characteristics, the object to be reconstructed is translated from the complicated engineering drawings into a series of much simpler process drawings. With the plentiful process information added for reconstruction, the disturbances such as irrelevant graph, symbol and label, etc. can be avoided. And more, the form change of both neighbor process drawings is so little that the engineering drawings interpretation has no difficulty; in addition, the abnormal solution and multi-solution can be avoided during reconstruction, and the problems of being applicable to more objects is solved ultimately. Therefore, the utility method for 3D reconstruction model will be possible. On the other hand, the feature information in process cards is provided for reconstruction model. Focusing on process cards, the feasibility and requirements of Working Procedure Model reconstruction is analyzed, and the method to apply and implement the Natural Language Understanding into the 3D reconstruction is studied. The method of asymptotic approximation product was proposed, by which a 3D process model can be constructed automatically and intelligently. The process model not only includes the information about parts characters, but also can deliver the information of design, process and engineering to the downstream applications.

基于BSC的高校绩效评价指标体系构建探究

随着高等教育的不断发展以及国家资金投入的持续增加,高校在提升办学条件和教育质量方面获得了更多资源。然而,当前高校资源分配不均、发展水平参差不齐等问题,成为阻碍教育高质量发展的重要因素。将高校资源的分配与其战略发展相结合,能够确保资源投向最需要的领域,从而优化整体资源配置。文章基于平衡计分卡框架,构建与高校战略匹配的科学绩效评价指标体系,从内部控制、财务绩效、服务对象、学习与成长4个维度入手,运用层次分析法确定权重,结合综合评分和等级考核的方法,以期为高校绩效评价和管理决策提供依据。

平衡计分卡联合层次分析法研究农业科研单位预算绩效评价

【目的】首次联合运用平衡计分卡和层次分析法,建立普遍适用于农业科研单位预算绩效评价方法,旨在进一步提高农业科研单位预算绩效评价管理水平。【方法】基于平衡计分卡理论,运用财务、内部运营、产出效益、学习与成长4个维度,构建农业科研单位预算绩效管理评价指标体系;利用层次分析法对构建的绩效管理评价指标的重要程度计分,构建判断矩阵确定相应的权重,最后计算综合得分。【结果】对研究对象A单位连续4年的数据计算分析发现,A单位的财务和产出效益2个维度所占权重较大,分别为47.63%和38.51%,而内部运营、学习与成长2个维度所占权重较低,分别为19.15%和13.47%。权重分布显示A单位对科研经费和科研产出较为重视。研究结果进一步显示,A单位2023年发展情况较好,但还需要强化经费预算执行率、科研创新平台、专利、科技服务、新品种培育等,才能更好实现科技投入的效率和质量。【结论】与传统的绩效评价方法相比,本文基于平衡计分卡理论和层次分析法建立的农业科研单位预算绩效评价方法,不仅融入了非财务指标维度,还将定量与定性指标相结合,能够多角度、全方位、个性化对目标对象开展更加科学的预算绩效评价,使科技投入效能和资金管理水平进一步提升。

网络犯罪防治中的轻罪扩张及其限度

网络犯罪的防治目标导致刑法不断扩张。当前最为典型的问题是如何理性认识并调适帮助信息网络犯罪活动罪的防治功能及其限度。在帮助信息网络犯罪活动罪的起诉人数爆发式增长的背景下,应当认为本罪的出台和适用基本符合刑事正义,但需要做出一定的调适。其一,帮助信息网络犯罪活动罪的司法基本符合罪刑法定原则,被帮助的行为类型属于刑法上规定的行为类型即可,这平衡了应对网络社会风险和满足公民可预见性的需求,是在网络空间中贯彻罪刑法定原则的最新趋势。其二,根据罪刑相当理念,从一重罪论处不应当仅仅看重可能判处的刑罚,还应当考虑罪名标签是否适当、全面评价了帮助行为的性质和危害。在帮助多种犯罪行为类型时,认定为本罪更加适当、全面,但可能需要法定刑幅度的增设与匹配。其三,在程序正义上,客观罪量和主观“明知”可以通过严格的程序得以确认,但在打击“两卡”犯罪导致案件“井喷”的态势下,需要调适“两卡”犯罪线下帮助行为的入罪标准。

精梳工艺对混色纱纤维径向混和效果的影响

为探讨精梳工艺对涤粘混色纱纤维径向混和效果的影响,基于纤维成像法观察混纺纱横截面的纤维分布情况,建立了混纺纱横截面纤维径向混和不匀率的数学模型,采用涤粘普梳混纺工艺路线与涤粘精梳混纺工艺路线分别制备两种混纺比的涤粘混色纱,计算两种混色纱的纤维径向混和不匀率。结果表明:涤粘精梳混纺工艺能够显著提高纱线截面内的纤维径向混和均匀性;与涤粘普梳纱相比,涤/粘混纺比为65/35时,涤粘精梳混纺纱的涤纶径向混和不匀率降幅为42.88%,粘胶纤维径向混和不匀率降幅为41.91%;涤/粘混纺比为50/50时,涤粘精梳混纺纱的涤纶、粘胶纤维径向混和不匀率降幅分别为40.57%、39.55%;涤粘普梳混纺工艺对纤维混纺比的控制更加准确。

基于分形与三维编织理论的棉纤维集合体梳理过程有限元建模与仿真

为提高棉花生条的质量,对梳理过程中棉纤维束的受力情况进行深入分析。基于分形理论建立棉纤维单元,参考三维四向编织结构的内部单胞模型,将分形棉纤维单元按照模型内部的纱线排列方式进行分布,建立棉纤维集合体的三维模型。利用该模型进行棉纤维集合体梳理过程的分析,借助ANSYS有限元软件进行模拟,研究了棉纤维所受梳理力及棉纤维应力的变化情况,梳理力仿真值与实验值的相对误差为11.414%,模型具有一定的合理性;通过MatLab软件运用插值方法,分析回潮率变化对梳理过程的影响,得出了不同回潮率下棉纤维表面摩擦因数值,根据仿真结果可知,随着回潮率升高,梳理力先增大后减小,当回潮率为6.5%时,梳理力更大,梳理效果最好。

塑性黏胶带自动定位铺贴机开发

软脆性平面基材表面铺贴塑性黏胶带能够起到塑封加固作用,但胶带面柔软质轻不易控制,传统采用手工铺贴,效率很低。本研究以制作大型工艺卡的纸质基材为加固对象,开发一台自动定位铺贴机,实现黏胶带在基材表面的精准定位和连续铺贴;重点设计了铺贴机械手的四个核心执行机构,解决了柔软胶带的头部定位、连续供给、定长裁断等技术难点;同时集成了自动进给、定点打孔、整齐收纳等功能模块,做到了非标工艺卡的一体化流水线定制;制造了工程样机并进行效果验证。实验结果表明:样机在一体化生产过程中工作状态稳定,胶带铺贴速度高达96条/分钟,定位精度达到98.3%,胶带铺贴质量良好。该样机能够显著提高生产效率,满足实际生产需求,节省大量人工成本。

基于机器视觉技术的红外与可见光人脸图像配准

为解决某些环境图像中人脸轮廓模糊,人脸面部特征单一问题,提出基于机器视觉技术的红外与可见光人脸图像配准方法。采集红外与可见光人脸图像,对其进行直方图均衡化处理,采用Canny边缘算子方法提取人脸图像轮廓,并依据轮廓的梯度大小以及方向特征实现红外与可见光人脸图像配准。实结果表明:该方法可有效提升红外与可见光人脸图像的配准度,在无遮挡时配准度数值为0.961,在遮挡10%和20%时,配准度数值分别为0.949和0.944,由此说明该方法应用效果较为显著。

公共图书馆读者证管理调研分析及优化策略

文章调研分析我国10家公共图书馆读者证的使用情况和管理现状,指出存在的问题,并提出公共图书馆读者证管理优化策略,即构建多层次安全防护体系,提升电子读者证安全性;打造城市群特色“一卡通”读者证,延伸通借通还服务范围;优化成人读者证与少儿读者证管理,提升读者借阅体验;拓展读者证使用范围,助力文旅融合发展;以读者需求为导向,建立和完善读者证使用反馈机制。

四川甲基卡地区某锂辉石矿工艺改造方案

针对四川甲基卡地区某锂辉石矿生产过程中存在回收率低的问题,首先对现场流程查定结果进行分析,并在实验室进行了试验研究,确定造成以上问题的主要原因是入选粒度偏粗、浮选机选型及配置不合理等因素造成的。针对该问题并依据该锂业选矿厂本身的实际情况,制定了增加五叠层高频振动细筛及筛上再磨系统、BF浮选机改造应用的技改方案。在尽可能不停产的情况下对该锂辉石矿进行了技术升级改造。为后续类似的矿山工艺改造提供参考。

轮对自动检修选配组装线工艺设计研究

轮轴自动检修、选配组装数字化控制系统主要有5部分组成:现场控制部分,三维动画全景展示检修现场部分,各类数据统计与分析报表部分,车间管理控制部分,自动选配组装部分。其中最为关键的是现场控制部分,主要由三大模块组成:数据采集自动化、检修作业过程控制自动化、检修作业质量卡控自动化。检修数据自动化涉及数据读取自动化及写入自动化,以及工位之间数据共享与分析自动化。最终实现轮对自动选配组装。

基于PLC控制的煤矿识别卡自动装配产线设计

煤矿识别卡产品装配大部分采取人工工序分步骤装配的作业模式,在对现有的识别卡装配工艺进行调研后,总结出一套优化自动装配柔性工艺的措施,并基于此措施开发了一套基于PLC控制的识别卡自动装配产线平台,提升产品的生产效率,彻底解决识别卡产线装配产量不足的问题,极大提升煤矿产品的交付能力。通过分析煤矿识别卡产品自动装配产线平台的来料工装方案,研制了一种识别卡产品自动装配产线平台装置,提出了装配产线机械臂和气动组件装置代替或尽量减少人工作业的装配模式。通过PLC多融合自动控制的技术手段,增加了装配过程环节各工序的视觉检验过程,形成了识别卡产品自动装配产线平台和实际自动装配应用场景。

基于用电信息采集系统与SIM卡信息的审计数据高效协同处理技术

为了解决因运营商与通信公司造成的数据结算异常,以及SIM卡费用结算数据准确率低的问题,基于用电信息采集网络与SIM卡模型生成的分类数据,构建一种审计数据高效协同处理模型。同时建立常态沟通机制,进行跨平台的数据处理,以加强业务协同工作。实验表明,研究方法对各项协议的平均分类预测及检测准确率分别为96.25%、96.55%。应用研究模型后,2022年月均SIM卡的费用节省了4.79万元。研究模型能够提高审计工作的质量和效率,并能有效解决SIM卡的结算费用浪费问题,可进行全面的推广和应用。

基于Canny边缘检测的银行卡号识别研究

为了快速准确地获取银行卡号信息,论文提出了一种基于Canny边缘检测的模板匹配算法来对银行卡号进行识别。首先,对数字模板进行灰度图操作,二值化操作,然后提取外轮廓信息,并对模板上的数字进行排序。然后对待检测银行卡的图像进行一些列形态学操作,根据绘制的轮廓大小比例锁定银行卡卡号的位置,并经过图像切割得到单个数字,最终将单个数字与模板进行匹配识别。实验结果表明,基于Canny算子边缘检测的模板匹配法识别准确率达93.2%。其识别准确率优于Sobel算子的模板匹配法。

高校校园卡业务一站式服务流程设计

当前,信息化建设在高校不断深入推进,校园卡作为一项重要的智慧校园基础设施,其服务流程设计显得尤为关键。文中旨在探讨高校校园卡业务一站式服务流程的设计方案,着重分析了校园卡系统多角色服务需求、基于Core-Plus平台的流程开发和用户体验设计。此外,文中进一步讨论了流程优化策略,包括优化各类人员的校园卡申办流程、新进教师校园卡申办流程以及对流程优化前后效果的分析,以提高办理效率和用户满意度。最后,通过案例分析,展示了流程设计的具体应用与服务效能的提升,同时考虑了服务平台的数据安全与管理问题。该研究对实现高校校园卡服务的高效化和智能化具有重要的理论意义和实践价值。

中铁银通卡账户线上应用系统的设计与实现

为了给中铁银通卡持卡人提供更便捷的出行服务,并满足铁路局集团公司的实际需求,设计了中铁银通卡账户线上应用系统。该系统配套手机移动端、检票支付业务、操作员管理端、客服系统及报表系统,完成检票乘车联机实时支付;利用授权请求密文校验技术校验卡片真伪;依托接口幂等性规避重复交易风险;通过多重差异处理技术确保偏差式短款及时处理,保障运输收入安全。该系统已在部分城际铁路应用,取得了良好的应用效果。

联锁停电非正常接发车进路准备设计与分析

联锁是保障车站列车安全控制的重要信号系统。为了解决联锁系统故障停电状态下,办理非正常接发车作业过程中产生大量人工纸质作业和反复沟通确认作业的问题,提出一种用户通过按钮选排非正常进路、自动获取进路设备状态并生成确认表的改进方案。通过模拟联锁环境,设计系统功能与结构,开发一套能够依据真实数据独立运行的软件系统,系统同时实现将行车安全控制卡电子化的控制流程形式。相比于传统作业方式,所提方案能够减轻行车人员的劳动强度,提高非正常接发车进路的组织效率,具有一定的普适性和高效性。

OODAFlow:面向智能无人系统的流式数据处理框架

智能无人系统是一种能够在复杂环境中自主进行实时推理、决策和制定行动方案的计算系统。智能无人系统实现实时决策的关键在于对流式数据的实时处理,然而随着人工智能技术和传感器技术的快速发展,智能无人系统需要处理的数据规模不断增长,数据类型变得更加复杂。面对不断增长的数据处理性能需求,智能无人系统需要一个充分优化的专用流式数据处理框架来提升其数据处理性能。针对该问题,本文提出了一种面向智能无人系统的流式数据处理框架OODAFlow,该框架将智能无人系统的硬件特征和智能计算任务的数据特征与观察-判断-决策-行动(OODA)模型思想相融合,实现了OODA任务创建、任务调度、资源调度等功能,能够实现对智能无人系统异构资源的调度和智能计算任务的处理。本文在智能无人系统上搭建了一套OODA任务处理系统,验证了所提OODAFlow框架的可行性。通过提出的图像预处理过程优化、流水线优化以及判断节点并行加速优化等方法,提高了系统的数据吞吐性能和资源利用率。无人机智能控制任务的实验表明,采用本文提出的OODAFlow框架后,智能无人系统的数据处理性能提升了73倍。