基于Si基集成技术的智能传感器应用

随着传感器向小型化、集成化、智能化方向发展,以微机电系统(MEMS)和集成电路(IC)工艺技术为基础制备智能传感器,已成为传感器领域的研究热点。本文介绍了传感器发展的历程,详述了智能传感器中Si基集成技术的单片集成(异质生长和离子注入剥离)和混合集成技术两类三种实现方法,并结合国内外现状,介绍了其在磁性、红外、热敏传感器的典型应用。     

碳纳米管柔性应变传感器在智能纺织品中的应用

智能纺织品不仅拥有日常穿着的所需功能,而且兼具智能性,柔性纺织材料的选择是当前纺织材料研究的重点。在柔性材料中,碳材料是制备柔性应变传感器的理想材料之一。以碳纳米管为柔性材料制备的柔性应变传感器在智能纺织品中的应用为研究内容,从碳纳米管的结构组成、性质及其应用等方面,介绍碳纳米管柔性应变传感器的研究现状;从材料选择、制备方法、性能测试及应用等方面,阐述以碳纳米管纤维和碳纳米管薄膜为柔性材料制备的柔性应变传感器的特性和功能;从制备难点、生产成本、实际应用效果等方面,对碳纳米管柔性应变传感器的优缺点进行评述。研究认为,在大应变下具有高灵敏度将是今后碳纳米管柔性应变传感器研究的方向。     

物联网在智能电网中的应用与实践

智能电网是在传统电网基础上,通过信息技术手段实现电力的进一步智能化调控。该文在总结智能电网的国内外发展现状,详细总结了该体系结构涉及到的各方面技术的发展现状,同时指出了未来可能带来突破的研究方向。以智能电网通信技术的特点为基础展开了面向智能电网的物联网架构的应用研究,无线传感器网络是整个智能电网的基础,阐述以传感器为基础对整个面向智能电网的物联网系统应用与实践。     

车用传感器技术现状及展望

介绍了目前传感器在汽车发动机控制系统、底盘控制系统和车身控制系统中的应用,同时对微型传感器、智能传感器进行了分析,并对目前传感器技术作了展望。     

基于MEMS的智能集成汽车传感器的研究

随着汽车传感器的迅速发展和MEMS技术的深入研究,基于MEMS技术的汽车传感器具有广阔的应用前景.本文从传感器原理、MEMS技术理论与制造工艺、智能传感器理论与控制算法、软件与硬件实现、以及集成原理与工艺等几个方面,综合运用MEMS技术、人工智能、信息融合、半导体加工等先进技术,研究基于MEMS技术的智能集成汽车传感器问题.最后对MEMS汽车传感器今后的发展研究进行了探讨.     

物流与物联网传感器技术浅析

本文在简要介绍了物流和供应链的概念的基础上,重点阐述了物联网传感器技术中的射频标签、光纤传感器和智能传感器的技术原理、种类特点和主要应用。     

基于Agent的抽油机井故障诊断智能分析系统的研究

对Agent技术在抽油机井故障诊断智能分析中的应用进行了研究,采用先进的单片机技术、传感器技术,设计并制作了智能诊断仪器,较好地解决了抽油机故障诊断等问题,并给出了硬件设计和软件设计的思想。     

光电传感器在智能小车设计中的应用

本文简要分析了电传感器的结构及其工作的原理。并从光电传感器的工作原理为基础,对智能小车的运作加以设计,本文首先指出了光电传感器在智能小车中的应用的相关部件,并对这些部件的作用加以简单的介绍。此后光有对电传感器在智能小车中的应用加以详细的编程,分析其运作的程序。     

基于Agent的抽油机井故障诊断智能分析系统研究

对Agent技术在抽油机智能故障诊断中的应用进行了研究，采用先进的单片机技术、传感器技术，设计并制作了智能诊断仪器，较好地解决了抽油机故障诊断等问题，并给出了硬件设计和软件设计的思想。     

集群无人机导航实验教学平台开发

随着多无人智能群体技术发展和应用场景的拓宽,对满足不同复杂环境下多无人智能群体及其搭载装置的多源导航系统可靠与稳定性能也提出了较高要求.应用场景的不断扩大,使得越来越多的行业对多无人智能群体的协同感知能力提出了迫切的应用及开发需求.针对多无人智能群体协同装置在面对多种多样的复杂协同工作环境下,容易出现导航系统中常用传感器受磁场等干扰性能不稳定的问题,除了需要进一步优化改进导航传感器自身的测量性能以外,更多地提高多智能群体协同装置的多类异构传感器信息融合的精度和可靠性显得尤为重要.为了应对这一实际需求,也为了使实验课程教学紧跟学科发展,需要开发一套适合于无人机集群导航研究的实验教学平台,供学生系统研究影响多智能体协同装置运行可靠性与安全性的导航问题.     

Recent Progress for Gallium-Based Liquid Metal in Smart Wearable Textiles

The development of smart textiles has presentend new requirements for integrated devices that can be compatible with both conductivity and deformation. At room temperature, liquid metal presents both metallic properties and flexible properties, as well as low toxicity and biocompatible, which makes it more and more popular on the research of liquid metal based electronic devices. This review summarizes the basic physical properties, and the key points to be fabricated into fibers and fabrics including oxides and wettability. Meantime, the application in the field of textiles is presented. Liquid metal based electrical conductive fibers and flexible sensors can be fabricated mainly by injection and printing, as well as direct-writing for smart fabrics. Liquid metal can be integrated as functional components for smart wearable devices in the future by assembling the as-prepared fibers and fabrics with textile technology, such as twisting, sewing, knitting, and embroidering.     

基于知识图谱的智慧水利研究进展

基于2000—2021年中国知识基础设施工程(CNKI)和Web of Science核心数据库(WOS)中以智慧水利为主题的相关研究文献,采用VOSviewer、CiteSpace等软件构建智慧水利研究领域文献量时序分布、发文机构和研究热点演变的各类知识图谱,分析了当前智慧水利研究进展。结果表明：智慧水利文献量均逐年递增,但CNKI数据库文献量与WOS数据库相比存在明显差距;智慧水利领域已形成核心研究机构,对其前沿发展做出了重要贡献;CNKI数据库中智慧水利研究侧重以流域为单位构建数字流域与智慧水利框架,WOS数据库则侧重从地理地球视角出发开展研究,两者均以物联网、深度学习等为基础搭建智慧水利平台。     

基于深度学习的智能合约漏洞检测方法综述

智能合约是区块链三大特点之一,也是区块链具有应用价值和灵活性的领域.本质上,智能合约是一段用特定脚本语言实现的代码,不可避免地存在安全漏洞风险.如何及时准确地检查出各种智能合约的漏洞,就成为区块链安全研究的重点和热点.为了检测智能合约漏洞,研究者提出了各种分析方法,包括符号执行、形式化验证和模糊测试等.随着人工智能技术的快速发展,越来越多基于深度学习的方法被提出,并且在多个研究领域取得了很好的效果.目前,针对基于深度学习的智能合约漏洞检测方法并没有被详细地调查和分析.本文首先简要介绍了智能合约的概念以及智能合约漏洞相关的安全事件;然后对基于深度学习的方法中常用的智能合约特征进行分析;同时对智能合约漏洞检测中常用的深度学习模型进行描述.此外,为了进一步推动基于深度学习的智能合约漏洞检测方法的研究,本文将近年来基于深度学习的智能合约漏洞检测方法根据其特征提取形式进行了总结分类,从文本处理、静态分析和图像处理3个角度进行了分析介绍;最后,总结了该领域面临的挑战和未来的研究方向.     

基于GSM网络的智能监控器

以ATEML公司的89S52单片机、SIEMENS公司的TC35I通信模块以及各种传感器为主要器件,设计完成了基于GSM(Global systemfor mobile communications)网络的智能监控器,可以将防盗警情信息发送至用户手机,同时用户也可以短信息的形式远程查询室内环境状态并控制家用电器设备的运行.系统摆脱了通信距离的限制,具有远程监控与控制等功能,适用于家居、办公等需要防盗报警和智能监控的场所.     

基于数据融合的高效可靠智能电网通信技术

随着智能电网的大规模部署,传感器等终端设备将会大量增加。面对随之产生的海量数据,高效可靠的通信方式成为新时代智能电网研究的热点。针对智能配电网中通信网络复杂、工作环比较混乱、通信点多的问题,本文提出了基于数据融合的新型融合组网方案。首先,采用边缘计算和有线无线相结合的新型融合组网方式,提高了组网融合的性能;然后结合了基于最佳权重分配的数据融合算法解决了数据冗余的问题,降低了能耗。最后通过理论分析和实验仿真验证了本文基于数据融合的新型融合组网方案的有效性,在性能上与传统加权算法对比更加优越。     

光纤传感器监测复合材料固化成型过程

光纤是一种重要的新型的信息传感材料 ,用预埋光纤的方法监测高分子基复合材料的固化过程是把智能材料与结构引入传统材料生产过程的尝试 ,将有利于传统材料的发展。该文阐述了光纤监测复合材料成型过程的原理和可行性 ,研制了两种分别依据相位调制和强度调制的光纤传感器 ,监测复合材料固化过程中的内部变化历程 ,监测结果比较灵敏、精确 ,为光纤智能技术的发展开辟了新的方向     

Lightweight Privacy-Aware Yet Accountable Secure Scheme for SM-SGCC Communications in Smart Grid

Smart grid is envisioned as a critical application of cyber-physical systems and of the internet of things.In the smart grid,smart meters equipped with wireless sensors can upload meter readings (data) to smart grid control and schedule centers via the advanced metering infrastructure to improve power delivery efficiency.However,data gathered in short intervals,such as 15minutes,will expose customers’ detailed daily activities (for example,when they get up and when they use oven) using nonintrusive appliance load monitoring.Thus,data must be hidden to protect customers’ privacy.However,data accountability is still required for emergency responses or to trace back suspected intrusions,even though the data is anonymous.In addition to desired security requirements,this imposes two extra tasks:Sensors in smart meters usually have resource constraints;thus,the desired security protocols have to remain lightweight in terms of computation and storage cost.Furthermore,scalability and flexibility are required since there exist vast meters.This paper presents a lightweight Privacy-aware yet Accountable Secure Scheme called PASS which guarantees privacy-aware accountability yet tackles the above challenges in the smart grid.A formal security analysis justifies that PASS can attain the security goals,while a performance analysis verifies that PASS requires few computations,and is scalable and flexible.     

Smart single-chip gas sensor microsystem.

Research activity in chemical gas sensing is currently directed towards the search for highly selective (bio)chemical layer materials, and to the design of arrays consisting of different partially selective sensors that permit subsequent pattern recognition and multi-component analysis. Simultaneous use of various transduction platforms has been demonstrated, and the rapid development of integrated-circuit technology has facilitated the fabrication of planar chemical sensors and sensors based on three-dimensional microelectromechanical systems. Complementary metal-oxide silicon processes have previously been used to develop gas sensors based on metal oxides and acoustic-wave-based sensor devices. Here we combine several of these developments to fabricate a smart single-chip chemical microsensor system that incorporates three different transducers (mass-sensitive, capacitive and calorimetric), all of which rely on sensitive polymeric layers to detect airborne volatile organic compounds. Full integration of the microelectronic and micromechanical components on one chip permits control and monitoring of the sensor functions, and enables on-chip signal amplification and conditioning that notably improves the overall sensor performance. The circuitry also includes analog-to-digital converters, and an on-chip interface to transmit the data to off-chip recording units. We expect that our approach will provide a basis for the further development and optimization of gas microsystems.     

Measuring Available Bandwidth for Smart Cyber-Physical Applications

The powerful processors and the variety of sensors in new and upcoming mobile Internet devices,such as iPhones and Android-based smart phones,can be leveraged to build cyber-physical applications that collect sensor data from the real world and communicate it back to the Internet for comprehensive processing.Available bandwidth measurement has been discussed previously in the computer networking community.Currently,it is important for cyber-physical applications to behave smartly since these applications pr...