Functional Optical Fiber Sensors Detecting Imperceptible Physical/Chemical Changes for Smart Batteries

The battery technology progress has been a contradictory process in which performance improvement and hidden risks coexist.Now the battery is still a“black box”,thus requiring a deep understanding of its internal state.The battery should“sense its internal physical/chemical conditions”,which puts strict requirements on embedded sensing parts.This paper summarizes the application of advanced optical fiber sensors in lithium-ion batteries and energy storage technologies that may be mass deployed,focuses on the insights of advanced optical fiber sensors into the processes of one-dimensional nano-micro-level battery material structural phase transition,electrolyte degradation,electrode-electrolyte interface dynamics to three-dimensional macro-safety evolution.The paper contributes to understanding how to use optical fiber sensors to achieve“real”and“embedded”monitoring.Through the inherent advantages of the advanced optical fiber sensor,it helps clarify the battery internal state and reaction mechanism,aiding in the establishment of more detailed models.These advancements can promote the development of smart batteries,with significant importance lying in essentially promoting the improvement of system consistency.Furthermore,with the help of smart batteries in the future,the importance of consistency can be weakened or even eliminated.The application of advanced optical fiber sensors helps comprehensively improve the battery quality,reliability,and life.

Smart Behavior of Carbon Fiber Reinforced Cement-based Composite

The electrical characteristics of cement-based material can be remarkably improved by the addition of short carbon fibers. Carbon fiber reinforced cement composite (CFRC) is an intrinsically smart material that can sense not only the stress and strain, but also the temperature. In this paper, variations of electrical resistivity with external applied load, and relation of thermoelectric force and temperature were investigated. Test results indicated that the electrical signal is related to the increase in the material volume resistivity during crack generation or propagation and the decrease in the resistivity during crack closure. Moreover, it was found that the fiber addition increased the linearity and reversibility of the Seebeck effect in the cement-based materials. The change of electrical characteristics reflects large amount of information of inner damage and temperature differential of composite, which can be used for stress-strain or thermal self-monitoring by embedding it in the concrete structures.

The Smart Behavior of Cement-based Composite Containing Carbon Fibers under Three-point-bending Load

The influences of the fiber volume fraction on the electrical conductivity and the fraction change of electrical resistance under three-point-bending test were discussed.It is found that the relationship beween the electrical conductivity of composites and the fiber volume fraction can be explained by the percolation theory and the change of electrical resistance of specimens reflects to the process of loading.The sensitivity and the response of the change of electrical resistance to the load for specimens with different fiber volume fractions are quite different.which provide an important guide for the manufacture of conductive and intrinsically smart carbon fiber composite.

Field Sensing Characteristic Research of Carbon Fiber Smart Material

In order to research the field sensing characteristic of the carbon fiber smart material, the Tikhonov regularization principle and the modified Newton-Raphson(MNR) algorithm were adopted to solve the inverse problem of the electrical resistance tomography(ERT). An ERT system of carbon fiber smart material was developed. Field sensing characteristic was researched with the experiment. The experimental results show that the specific resistance distribution of carbon fiber smart material is highly consistent with the distribution of structural strain. High resistance zone responds to high strain area, and the specific resistance distribution of carbon fiber smart material reflects the distribution of sample strain in covering area. Monitoring by carbon fiber smart material on complicated strain status in sample field domain is realized through theoretical and experimental study.

Carbon-Coated-Nylon-Fiber-Reinforced Cement Composites as an Intrinsically Smart Concrete for Damage Assessment during Dynamic Loading

Concrete containing short carbon-coated-nylon fibers (0.4-2.0 vol. pct) exhibited quasi-ductile response by developing a large damage zone prior to fracture localization. In the damage zone, the material was microcracked but continued to local strain-harden. The carbon-coated-nylon-fiber-reinforced concrete composites (NFRC) were found to be an intrinsically smart concrete that could sense elastic and inelastic deformation, as well as fracture. The fibers served to bridge the cracks and the carbon coating gave the conduction path. The signal provided came from the change in electrical resistance, which was reversible for elastic deformation and irreversible for inelastic deformation and fracture. The resistance decrease was due to the reduction of surface touch resistance between fiber and matrix and the crack closure. The resistance irreversible increase resulted from the crack opening and breakage of the carbon coating on nylon fiber.

Characteristics of Smart Concrete with Fiber Optical Bragg Grating Sensor

Based on the advantages of the fiber Bragg grating sensing technology,this paper presents a principle of a novel smart concrete with fiber optical Bragg grating sensor,analyses the theory and characteristics,illustrates the key technology and method to make the fiber Bragg grating sensor for the smart concrete,and proves the feasibility with experiments.The results indicate that the smart concrete with fiber Bragg grating sensors is feasible in the structure monitoring and damage diagnosing in the long run.

Optical fiber Bragg grating sensors in smart structures

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基于智能跑道光栅阵列传感器的机型辨识方法

针对当前机型辨识方法易受环境影响的不足,提出了一种新的基于智能跑道光栅阵列传感器的机型辨识方法。利用光栅阵列横向布置光缆采集飞机滑跑通过时的分布式振动响应,通过分析多测区时程脉冲响应特征,确定主辅起落架通过光缆的时差。通过光栅阵列纵向布置光缆感知飞机的滑行轨迹,采用多项式拟合确定飞机滑行速度。基于飞机主辅起落架的测试值与理论值的匹配关系对飞机型号进行辨识,利用某机场试飞及开航2个月内的航班信息进行方法检验。结果显示,提出的机型辨识方法识别准确率可达98.44%,可以对B757、B738、A320和A321机型进行有效辨识。

基于CiteSpace的智能纺织服装产品研究进展

为揭示智能纺织服装的研究现状、热点和趋势,以CNKI数据库和WOS数据库中2012—2022年的相关文献为研究对象,采用CiteSpace可视化分析软件绘制知识图谱,分析智能纺织服装产品在国家、机构、作者方面的分布现状及合作情况,对研究热点和前沿趋势进行梳理。结果表明,2012—2022年,CNKI数据库发文量稳步上升,WOS数据库发文量快速增长且中国学者发文量较多;CNKI数据库研究合作强度较低且以东华大学和江南大学为主体;WOS数据库合作关系密切,研究集中度和合作强度大;CNKI数据库研究方向更注重应用和设计模式,WOS数据库则更注重电子元件制造和智能纤维与面料的开发;健康检测、变色肌理、仿生设计、生物材料、可穿戴应变等是目前智能纺织服装领域的前沿热点,电子元件制造、智能纤维及面料智能化研究是未来智能纺织服装领域研究的热点及趋势。

智能纤维及智能针织产品的发展与应用

智能纤维及智能针织产品是一项蓬勃发展的领域,随着先进技术及材料的发展,智能针织产品为人们的生活提供了诸多的便利。探讨当前智能纤维材料及智能针织产品的最新进展和趋势。首先,介绍了智能纤维的特点、分类和生产方法等,包括智能变色纤维、形状记忆纤维、智能调温纤维、光导纤维、电子智能纤维以及智能凝胶纤维。然后,分析了智能针织产品的生产技术以及应用领域。最后,探讨了智能纤维和智能针织产品存在的问题和面临的挑战,并且给出了未来智能针织产品的发展方向。通过深入研究和创新,智能纤维及智能针织产品将为我们的生活带来更多可能性,促进智能生产与生活的实现。

埋入式光纤传感原理及实验研究——航天Smart结构

对Ｓｍａｒｔ材料／结构中的光纤传感原理进行了探讨，并进行了实验研究。首先介绍了Ｓｍａｒｔ结构中常见的埋入式光纤传感器的特点及其工作原理，然后提出了应用多模光纤在编织复合材料Ｓｍａｒｔ结构中进行应变场测量的方案，建立了实验装置，给出了实验结果并进行了讨论。

一维结构可穿戴柔性传感器研究进展

随着智能可穿戴技术的发展,人们对智能化、多功能、易携带的可穿戴设备需求日益增长,可穿戴柔性传感器受到广泛关注并逐渐成为柔性电子领域的研究热点。一维结构柔性传感器具备优异适形性、高集成度和性能稳定等优势,有助于开发高性能、可连续生产、多场景应用的可穿戴柔性电子产品。文章分析了用于一维结构穿戴柔性传感器的导电敏感材料和柔性基底材料,对一维结构穿戴柔性传感器的制备工艺进行划分,从表面涂层、纤维制备以及结构变化方面总结了各种一维结构穿戴柔性传感器的设计和应用。文章讨论了一维结构柔性传感器当前研究中需要突破的工作,对其在可穿戴应用领域的发展前景提出展望,为相关可穿戴柔性器件的研究提供理论价值和工程参考意义。

玻纤企业绩效评价新思路——基于G-SMART原则的低碳经济增加值指标

我国已成为玻纤生产第一产能大国,针对玻纤生产企业,可以从管理层面建立起低碳绩效评价指标,通过衡量低碳绩效反应企业低碳生产水平,从而实现低碳发展。基于传统的绩效评价SMART原则利用经济增加值评价方法,考虑企业碳和污染物排放水平,创新性地提出运用G-SMART原则并结合专家访谈和问卷调查构建低碳经济增加值指标,通过因子分析提取综合指标并得到各综合指标权重来计算各项指标低碳经济增加值,评价企业的低碳绩效。

纤维材料在智能纺织品的研究与应用

纤维材料的研究和应用直接关系到社会民众的日常生活和相关革命性制造业的发展。然而,传统的纤维和纤维产品已经不能满足现代社会自动化、智能化的要求,也不能满足人们追求智能、前卫、时尚、独特的消费需求。经过二十多年的研究,新的纤维器件和新的应用领域不断被发现。综述了先进纤维材料的研究进展,不同可穿戴应用的代表性研究以及主流纤维材料和可穿戴电子产品面临的主要挑战,最后对未来的研究方向进行了展望。

基于光学传感技术的呼吸监测智能服装研究

呼吸监测智能服装是生理体征监测类智能服装中的一类,可以通过对呼吸信号的监测来反映穿着者的健康状况。文章针对消费者对日常呼吸监测的需求,利用缺口光纤开发压力传感器,并进行不同结构传感器的性能对比,制作出具有呼吸监测功能的智能服装。试验表明:所设计制作的基于光学传感技术的呼吸监测智能服装与商业呼吸监测传感器监测结果一致,呼吸监测准确率达到了95%,能够为消费者在不同姿势下的呼吸监测提供保障。

全通信链路分配下的智能变电站安全光纤在线监测方法

现阶段应用于智能变电站的安全光纤在线监测方法,存在监测误差过大问题,原因在于智能变电站通信网络的链路拓扑结构与电路分布结构之间存在异步结构信息不对称,对应位置节点的状态服务不能按照配置参量回传,造成实际链路状态服务中断,而映射判定信息由于链路时延造成其链路重要度降低,进而出现监测结果的偏差。为此,提出方法中采用全通信链路分配的优化方案,通过定义全通信链路分配下智能变电站安全光纤节点状态编码规则、变电站安全节点服务在线链路重要度计算、全通信链路分配下的智能变电站安全光纤在线监测结果输出三部分,实现对其全局判别参量的优化。实验结果表明,其具备提升在线监测精准度的能力,且相比传统方法具有更好的鲁棒性。

面向智慧矿山的矿用机械光纤光栅解调通信系统设计

提出了一种面向智慧矿山的矿用机械光纤光栅解调通信系统。该系统基于光纤光栅传感技术,实现了对矿用机械状态的实时监测和数据传输。通过对关键参数的精确测量和分析,该系统可以有效提高矿用机械的安全性和工作效率,为智慧矿山的建设和运营提供有力支持。

光缆技术在智慧城市发展中的应用

智慧城市的发展推动了光缆技术的广泛应用。文中从光缆技术的概念、传输特性出发,探讨了光纤通信系统、光纤接入网、光纤到户、光纤宽带接入网、光纤专线等在智慧城市中的关键光缆技术。同时,分析了光缆线路规划、光缆资源管理、光缆设备选型、光缆运维管理等智慧城市中光缆技术应用的关键问题,并阐述了智慧城市中光纤通信系统、光纤接入网、光纤传感网、光纤通信网络等光缆技术的具体应用,以供参考。

电力通信技术在智能电网中的应用

随着全球能源结构的转型和智能化技术的快速发展,智能电网已成为电力系统现代化的关键。电力通信技术在智能电网中的应用,不仅支持信息的高效传输,还确保了电网操作的安全与可靠。文章简要概述智能电网与电力通信技术,详细分析电力通信技术在智能电网中应用的重要性,深入探究电力通信技术在智能电网中的具体应用。本研究旨在展示电力通信技术在现代智能电网中的重要性,并为相关领域的研究者和工程师提供实用的理论参考。

智慧化工园区通信基础设施管理系统研究与设计

随着石化工业园区数字化转型的加速,通信系统承载的业务也越来越多,通信基础设施规模和分布范围也在不断扩大,如何对大量的通信设备与线路进行有效管理,对于提高园区通信系统可靠性、故障应急能力、运维管理水平都将带来显著影响。本文通过对石化工业园区的调研,分析了化工园区通信基础设施管理的意义和必要性,梳理了系统管理对象,设计了技术架构和系统功能,为智慧化工园区建设提供了参考。