Highly Stretchable and Sensitive Flexible Strain Sensor Based on Fe NWs/Graphene/PEDOT:PSS with a Porous Structure

With the rapid development of wearable smart electronic products, high-performance wearable flexible strain sensors are urgently needed. In this paper, a flexible strain sensor device with Fe NWs/Graphene/PEDOT:PSS material added under a porous structure was designed and prepared. The effects of adding different sensing materials and a different number of dips with PEDOT:PSS on the device performance were investigated. The experiments show that the flexible strain sensor obtained by using Fe NWs, graphene, and PEDOT:PSS composite is dipped in polyurethane foam once and vacuum dried in turn with a local linearity of 98.8%, and the device was stable up to 3500 times at 80% strain. The high linearity and good stability are based on the three-dimensional network structure of polyurethane foam, combined with the excellent electrical conductivity of Fe NWs, the bridging and passivation effects of graphene, and the stabilization effect of PEDOT:PSS, which force the graphene-coated Fe NWs to adhere to the porous skeleton under the action of PEDOT:PSS to form a stable three-dimensional conductive network. Flexible strain sensor devices can be applied to smart robots and other fields and show broad application prospects in intelligent wearable devices.     

乌镇古镇滨水建筑外部空间研究

外部空间元素通过一定的组织手法有规律地形成了乌镇古镇的外部空间结构。使用建筑设计中的平面关系图和剖立面图来解析外部空间结构,从而清晰、明确体现这种外部空间结构,并总结出乌镇古镇外部空间的平面关系和剖立面关系的特点以及与西塘、南浔古镇的异同。     

磨机负荷检测系统无线数据采集装置的研制

针对球磨机振动信号采集及数据传输,研制了一套低功耗无线采集传输系统。通过对电路系统的降噪设计,提高了处理精度,使其完全满足数据采集的需要,解决了在线检测球磨机桶壁振动装置的连续使用问题。     

中国铀矿资源特征及成矿规律概要

煤型铀主要是指赋存于煤层的铀,一般以煤中铀含量大于或等于40 μg/g为煤型铀资源界定标准。为总结云南省煤中铀含量特征,查明煤型铀资源分布规律。通过系统查阅196份煤田勘查报告,筛查出12个煤矿中109口钻孔的至少208个煤中铀含量数据,结合前人数据共整理出23个煤矿中的至少1044个煤中铀含量数据,统计分析显示：（1）煤中铀含量差异显著,分布极为不均;（2）峨山塔甸三叠系无烟煤中平均铀含量为27.6 μg/g,系国内新发现的又一罕见的无烟煤型铀富集区;（3）潞西等㽘、临沧勐旺—帮卖、建水甸尾、弥勒跨竹、蒙自南部的新近系褐煤和文山邱砚煤田的二叠系贫煤、新近系长焰煤,共6个地区煤中铀含量达到煤型铀资源界定标准,尤以临沧盆地群和邱砚煤田最具煤—铀及多金属勘探开发价值。初步分析认为煤中铀含量受煤阶影响有限,铀源供给才是铀富集并成矿的先决条件。     

我国稀土产业现状及发展趋势(上)

这是一篇矿物加工工程领域的论文。本文以河南某稀土及伴生萤石资源为研究对象,依据工艺矿物学和小型选矿实验所得的研究结果,进行了处理量为60 kg/h的扩大连续实验。通过化学分析、AMICS镜下鉴定等分析手段发现,该原矿样品中主要有用元素REO含量为1.53%,CaF₂含量为18.22%,稀土选别目标矿物为氟碳铈矿和氟碳钙铈矿;采用“稀土、萤石混合浮选-稀土、萤石分离”的工艺对矿石中的稀土、萤石进行回收,实验室小型实验取得了良好指标。在此基础上,对原矿样品进行了扩大连续实验,最终获得了REO品位52.54%、回收率51.15%的稀土精矿和CaF₂品位94.76%、回收率60.80%的萤石精矿,精矿产品指标良好,扩大实验结果较为理想,初步实现了稀土伴生萤石的综合回收利用,有助于为企业生产提供技术支撑,有助于为同类型稀土及共伴生资源矿床的综合开发利用提供依据。     

辽宁赛马碱性岩体异性石化学成分特征及其蚀变组合对碱性岩浆-热液演化的指示意义

这是一篇地球科学领域的论文,主要阐述了碱性岩中的一种含稀土矿物-异性石的基本特征。异性石是一种常见的岩浆岩副矿物和热液矿物,易受风化和氧化等表生作用影响,能较好记录和保存岩浆和热液活动的原始信息,因而是研究岩浆和/或热液过程的一种常见示踪矿物。通过文章的综述,希望能够为深化异性石矿物学和地球化学研究、加强异性石型稀土矿方面的找矿工作、广泛开展与异性石有关的地质问题探讨等提供较全面的基础性认识。     

Parallel optimization method of train scheduling and shunting at complex high-speed railway stations

The train operations of large stations are critical in determining the efficiency of the railway network. Large high-speed railway stations often have more than two adjacent stations running in multiple directions and must address highly complex train operation patterns. To develop a more efficient operation plan than the existing route-based representations for modeling train conflicts, a more systematic track-based resource network (TRN) representation for a railway station that simulates fixed equipment is used in this paper. Based on this high-fidelity TRN, an improved operation scheduling model (OSM) is introduced for the integrated scheduling of train operations, including shunting operations. Besides, two approaches based on Lagrangian relaxation (LR) and the Alternating Direction Method of Multipliers (ADMM) are described in detail to address the operation scheduling problem (OSP) for stations, and an efficient heuristic rule-based algorithm is also designed to generate lower bound solutions. To improve the algorithm efficiency, we designed a parallelization strategy for the proposed approaches. Based on real-world case studies, the computing results demonstrate that the parallelized ADMM-based approach can always find high-quality feasible solutions for complex stations and generate conflict-free station operation plans with significantly improved efficiency.     

基于质谱分析的航天器工质原位检漏技术研究

航天器推进系统、热控系统、环控系统及流体回路系统有严格的泄漏指标要求,基于质谱分析的检漏方法存在本底信号干扰及重复性较差等难点,建立了工质原位检漏方法的理论模型,分析了质谱室直接进样与分流进样的特点,确定了分流进样的技术方案;通过试验,获得了大气环境取样条件下质谱室工作压力与本底信号的关系;同时,通过氦气、氪气、氙气等标准漏孔重复性试验获得了工质气体校准系数与本底信号的关系,并验证了系统检漏灵敏度满足航天器检漏要求。     

全国房屋建筑和市政设施调查系统演化发展与数字住建建设研究

通过开展第一次全国自然灾害综合风险普查工作,项目组开发了全国房屋建筑和市政设施调查系统,并在全国自建房安全专项整治等工作中进行了二次开发,从而形成了一套以普查数据为基础底板,以支持专项工作耦合发展为推进主线,以数字化转型为目标的发展模式。同时,本文探讨了基于普查数据和行业数据的数据底座建设,基于现有平台的数据互联互通,基于三级互联和多主体工作门户的数据应用,从而提出了加强数据应用、拓展平台场景和打造协同平台的数字住建建设思考。     

基于深度学习的桥梁病害检测研究与应用

本文研发基于YOLOv5算法的桥梁病害检测系统,用于无人机桥梁病害检测。首先,通过无人机巡航系统进行病害采集;其次,通过K-means聚类算法对YOLOv5算法中的先验框比例进行改进,获取桥梁病害的尺寸;再次,利用图像切割算法将无人机输入图像切割为640*640尺寸大小,减小模型训练与推理难度,同时利用APAP算法对切割图像识别结果进行拼接,达到完整无人机图像识别结果;最后,采用Python Flask搭建开放式桥梁病害检测Web前端,可根据实际需求调用不同桥梁部位病害权重,实现13种桥梁病害实时检测。结果表明,该模型可有效地降低硬件需求,可直接对无人机图像进行识别处理,实现快速病害检测,有望为桥梁病害检测提供一个高效、安全且具有前景的检测方法。