Smart Society and Artificial Intelligence:Big Data Scheduling and the Global Standard Method Applied to Smart Maintenance

The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,smart systems,and a smart network.In this context,which is characterized by a large gap between training and operative processes,a dedicated method is required to manage and extract the massive amount of data and the related information mining.The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics(AD)for smart management,which is exploitable in any context of Society 5.0,thus reducing the risk factors at all management levels and ensuring quality and sustainability.We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes,for reducing training costs,for improving production yield,and for creating a human–machine cyberspace for smart infrastructure design.The results obtained in 12 international companies demonstrate a possible global standardization of operative processes,leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself.Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions,with the related smart maintenance and education.

Classification of Preparation Methods and Wearability of Smart Textiles

In recent years,smart textiles have attracted the attention of scholars from all walks of life,but there is an imbalance between functionality and usability,which affects their marketization process.Firstly,five representative smart textiles are introduced and their respective wearability is described around preparation methods.Secondly,it is concluded that the preparation methods of smart textiles can be divided into two categories:fiber methods and finishing methods.The fiber methods refer to making smart fibers into smart textiles.Textiles made by fiber methods are breathable and feel good in the hand,but the mechanical properties are influenced by the production equipment,and the process cost is high.The finishing methods refer to the functional finishing of ordinary textiles.Although the finishing method is simple and convenient,it may reduce the comfort of the textile.Finally,applications and new research in various fields of smart textiles are presented with promising prospects.It is anticipated that this review will serve as a theoretical basis for future research and development of smart textiles.Researchers are expected to create new technologies to overcome the tension between functionality and usability,as well as to increase user comfort and convenience.

A New Behavior-Assisted Semantic Recognition Method for Smart Home

In the recent Smart Home(SH)research work,intelligent service recommendation technique based on behavior recognition,it has been extensively preferred by researchers.However,most current research uses the Semantic recognition to construct the user’s basic behavior model.This method is usually restricted by environmental factors,the way these models are built makes it impossible for them to dynamically match the services that might be provided in the user environment.To solve this problem,this paper proposes a Semantic behavior assistance(Semantic behavior assistance,SBA).By joining the semantic model on the intelligent gateway,building an SA model,in this way,a logical Internet networks for smart home is established.At the same time,a behavior assistant method based on SBA model is proposed,among them,the user environment-related entities,sensors,devices,and user-related knowledge models exist in the logical interconnection network of the SH system through the semantic model.In this paper,the data simulation experiment is carried out on the method.The experimental results show that the SBA model is better than the knowledge-based pre-defined model.

Preliminary Analysis of Smart Grid Risk Index System and Evaluation Methods

Combined the purpose and requirements of security and stability economic operations of the smart grid, a more comprehensive, risk indicator system of smart grid is established from five aspects of the smart grid strategic risk, external risk, financial risk, compliance risk, operational risks. On this basis, it is conducted smart grid risk assessments by integrated of the use of Borda sequence value method of the original risk matrix and AHP (hierarchical analysis method), in order to assess risk facing the smart grid and enterprise development more comprehensively, objectively and systematically and conveniently, and prompt companies continue to reduce risk, improve economic efficiency, continuously improve the targeted improvement measures and continue to improve the level of grid development.

A navigation method based on POMDP for smart wheelchair in uncertain environments

A navigation method based on the partially observable markov decision process （POMDP） for smart wheelchairs in uncertain environments is presented in this paper. The design key factors for the navigation system of a smart wheelchair are discussed. A kinematics model of the smart wheelchair is given, and the model and principle of POMDP are introduced. In order to respond in uncertain local environments, a novel navigation methodology based on POMDP using the sensors perception and the user＇s joystick input is presented. The state space, the action set, the observations and the sensor fusion of the navigation method are given in detail, and the optimal policy of the POMDP model is proposed. Experimental results demonstrate the feasibility of this navigation method. Analysis is also conducted to investigate performance evaluation, advantages of the approach and potential generalization of this paper.

基于SMART方法的低碳生态城市规划设计实践研究——以深圳国际低碳城启动区规划为例

近二三十年来,全球气候变暖及生态破坏的问题已日益引起国际社会的广泛关注。先锋城市深圳在经济高速发展的同时,一直高度重视生态环境建设,并着手重点开展深圳国际低碳城建设,力争将其打造为中欧可持续城镇化合作旗舰项目。该文在对低碳生态城市建设策略及相关理论进行深入研究,创新性总结出低碳生态城市规划设计的五个核心议题(即SMART方法),并基于深圳国际低碳城启动区规划的实践,尝试在构建碳汇网络S、优化微气候M、绿色建筑应用A、高效利用资源能源R、引导绿色交通出行T五方面进行探索性研究,为当前的低碳生态城市规划提供参考。

基于SMART原则构建ICU专科护士延续认证指标体系

[目的]基于SMART原则构建重症监护室(ICU)专科护士延续认证指标体系。[方法]在查阅文献的基础上,遵循SMART原则,采用德尔菲法和层次分析法对来自不同领域的30名专家进行3轮专家函询,确定ICU专科护士延续认证指标体系及各指标权重。[结果]3轮函询问卷回收率分别是93.33%,89.29%和100.00%,专家权威系数均大于0.75,各级指标的变异系数均<0.25,初步构建了包括实践技能、专业知识、个人基本情况评价、专业态度、专业发展能力、个人综合素质6个一级指标和22个二级指标、54个三级指标的ICU专科护士延续认证评价指标体系。[结论]构建的ICU专科护士延续认证评价指标体系可用于新疆维吾尔自治区ICU专科护士的延续认证。

基于SMART原则的分层分析在绩效考核中的运用——以ZT公司为例

绩效考核管理在深化国有企业改革中发挥着不可替代的作用,它不仅对员工的自身发展意义深远,更与企业的长远发展和目标规划息息相关。以中外人力资源管理研究成果为基础,选取ZT公司为调查对象,运用AHP与SMART原则相结合的方法对该公司在绩效考核中所遇见的问题进行调查与分析,并针对性地提出相应的改善措施,为ZT公司的绩效管理的改进与优化提供参考与借鉴。

基于无障碍层次分析的适老化智慧厨房系统设计研究

在老龄化日趋严重的当下,健康饮食、营养均衡、情感社交是家庭引以重视的生活方式影响因素。本文通过面对面访谈,运用无障碍层次分析法,分析现有国内外智慧厨房发展趋势、老年饮食结构现状,总结出智慧厨房的不足及设计特征原则;通过用户旅行图,确定关键需求,为老年智慧厨房的系统化设计提出有效参考。

Office XP Smart Tag技术在ERP中的应用

介绍了OfficeXPSmartTag技术,并针对ERP软件中数据调用的问题,阐述了用于Office文档中SmartTag技术在ERP中的开发方法,以Tonsoft公司的ERP软件为实例,讨论了OfficeXPSmartTag技术在ERP中的应用,同时给出了应用结果.

基于数据相关性的智能电能表内部结构局部异常点检测方法

为提高智能电能表异常检测的准确性,规范智能化设备在电力单位中的应用与管理,开展内部结构局部异常点检测方法的设计研究。提取采样数据之间的关联因子,将样本数据进行缩放处理,使其呈现为相同尺度的数据,根据电能表记录数据,计算不同时刻下的电流/电压变化率,设定电能表内部结构中的每个数据点存在一个局部可达密度和一个局部异常因子,通过对局部异常点的聚类,实现检测。对比实验证明:设计的方法在智能电能表内部结构局部异常点检测方面表现出了更高的准确性和可靠性。

基于DEMATEL/GQFD/FBS的智能婴儿床设计研究

为促进国内智能婴儿床的发展,解决现有智能育婴类产品功能杂糅、实用性不强、企业难以决策等问题,提出一种基于DEMATEL/GQFD/FBS的智能婴儿床创新设计方法。运用决策实验室分析法(DEMATEL)识别与分析多元化需求间存在的因果关系与相互影响关系,确定用户需求中的关键点。同时,通过GQFD将智能婴儿床的关键用户需求转化为具体的功能性需求,并确定对应的关键设计要素及其重要度。最后,通过FBS模型的“功能-行为-结构”映射,求解设计要素的结构形式,并输出设计方案,完成SUS测试。结果表明:按照该流程对智能婴儿床进行产品方案输出具有可行性。集成DEMATEL/GQFD/FBS的创新设计流程,能够为决策者提供更为高效与客观的产品需求排序以及结构求解过程,为智能育婴类相关产品的设计提供了新思路。

S-SMART最大熵法及在小样本中的应用

基于S-SMART方法在解决小样本问题中的优势,结合信息论中熵的概念,找出了一种S-SMART最大熵法来确定Bayes先验分布的途径。首先将样本扩大,然后利用最大熵法来确定先验分布。该方法能较好地避免主观因素的影响,对于解决小样本问题非常有效。模拟不同的放大倍数均得到了较好的结果,证明了该方法的可行性与有效性。

Decentralized Control for Residential Energy Management of a Smart Users' Microgrid with Renewable Energy Exchange

This paper presents a decentralized control strategy for the scheduling of electrical energy activities of a microgrid composed of smart homes connected to a distributor and exchanging renewable energy produced by individually owned distributed energy resources. The scheduling problem is stated and solved with the aim of reducing the overall energy supply from the grid, by allowing users to exchange the surplus renewable energy and by optimally planning users' controllable loads. We assume that each smart home can both buy/sell energy from/to the grid taking into account time-varying non-linear pricing signals. Simultaneously, smart homes cooperate and may buy/sell locally harvested renewable energy from/to other smart homes. The resulting optimization problem is formulated as a non-convex non-linear programming problem with a coupling of decision variables in the constraints. The proposed solution is based on a novel heuristic iterative decentralized scheme algorithm that suitably extends the Alternating Direction Method of Multipliers to a non-convex and decentralized setting. We discuss the conditions that guarantee the convergence of the presented algorithm. Finally, the application of the proposed technique to a case study under several scenarios shows its effectiveness.

利用SMART技术构建蒙古柳cDNA-pYES2大肠杆菌文库研究

从安达盐碱地采收的蒙古柳种子在1/2MS固体培养基中培养,等到长出3~4片真叶的幼苗为实验材料,提取植株总RNA后分离mRNA,用SMART(Switching Mechanism At 5’end of RNA Template)方法合成蒙古柳cDNA,并连接到PYES2载体,用电转化法将重组质粒转化到大肠杆菌感受态细胞JM109。经测定,原始文库滴度为6×10^6 cfu·mL^-1,重组率大于98%。插入片段的长度大部分在0.5~2.0 kb,平均长度为0.8 kb,构建了蒙古柳cDNA-pYES2大肠杆菌文库。

Sol-gel-based porous Ti-doped tungsten oxide films for high-performance dual-band electrochromic smart windows

Dual-band electrochromic smart windows(DESWs)with independent control of the transmittance of near-infrared and visible light show great potential in the application of smart and energy-saving buildings.The current strategy for building DESWs is to screen materials for composite or prepare plasmonic nanocrystal films.These rigorous preparation processes seriously limit the further development of DESWs.Herein,we report a facile and effective sol-gel strategy using a foaming agent to achieve porous Ti-doped tungsten oxide film for the high performance of DESWs.The introduction of foaming agent polyvinylpyrrolidone during the film preparation can increase the specific surface area and free carrier concentration of the films and enhance their independent regulation ability of near-infrared electrochromism.As a result,the optimal film shows excellent dual-band electrochromic properties,including high optical modulation(84.9%at 633 nm and 90.3%at 1200 nm),high coloration efficiency(114.9 cm^(2) C^(-1) at 633 nm and 420.3 cm^(2) C^(-1) at 1200 nm),quick switching time,excellent bistability,and good cycle stability(the transmittance modulation losses at 633 and 1200 nm were 11%and 3.5%respectively after 1000 cycles).A demonstrated DESW fabricated by the sol-gel film showed effective management of heat and light of sunlight.This study represents a significant advance in the preparation of dual-band electrochromic films,which will shed new light on advancing electrochromic technology for future energy-saving smart buildings.

A Novel Probabilistic Hybrid Model to Detect Anomaly in Smart Homes

Anomaly detection in smart homes provides support to enhance the health and safety of people who live alone.Compared to the previous studies done on this topic,less attention has been given to hybrid methods.This paper presents a two-steps hybrid probabilistic anomaly detection model in the smart home.First,it employs various algorithms with different characteristics to detect anomalies from sensory data.Then,it aggregates their results using a Bayesian network.In this Bayesian network,abnormal events are detected through calculating the probability of abnormality given anomaly detection results of base methods.Experimental evaluation of a real dataset indicates the effectiveness of the proposed method by reducing false positives and increasing true positives.

GPS Spoofing Attack Detection in Smart Grids Based on Improved CapsNet

This paper analyzes the influence of the global positionong system(GPS)spoofing attack(GSA)on phasor measurement units(PMU)measurements.We propose a detection method based on improved Capsule Neural Network(CapsNet)to handle this attack.In the improved CapsNet,the gated recurrent unit(GRU)is added to the front of the full connection layer of the CapsNet.The improved CapsNet trains and updates the network parameters according to the historical measurements of the smart grid.The detection method uses different structures to extract the temporal and spatial features of the measurements simultaneously,which can accurately distinguish the attacked data from the normal data,to improve the detection accuracy.Finally,simulation experiments are carried out on IEEE 14-,IEEE 118-bus systems.The experimental results show that compared with other detection methods,our method is proved to be more efficient.

Physics-Informed AI Surrogates for Day-Ahead Wind Power Probabilistic Forecasting with Incomplete Data for Smart Grid in Smart Cities

Due to the high inherent uncertainty of renewable energy,probabilistic day-ahead wind power forecasting is crucial for modeling and controlling the uncertainty of renewable energy smart grids in smart cities.However,the accuracy and reliability of high-resolution day-ahead wind power forecasting are constrained by unreliable local weather prediction and incomplete power generation data.This article proposes a physics-informed artificial intelligence(AI)surrogates method to augment the incomplete dataset and quantify its uncertainty to improve wind power forecasting performance.The incomplete dataset,built with numerical weather prediction data,historical wind power generation,and weather factors data,is augmented based on generative adversarial networks.After augmentation,the enriched data is then fed into a multiple AI surrogates model constructed by two extreme learning machine networks to train the forecasting model for wind power.Therefore,the forecasting models’accuracy and generalization ability are improved by mining the implicit physics information from the incomplete dataset.An incomplete dataset gathered from a wind farm in North China,containing only 15 days of weather and wind power generation data withmissing points caused by occasional shutdowns,is utilized to verify the proposed method’s performance.Compared with other probabilistic forecastingmethods,the proposed method shows better accuracy and probabilistic performance on the same incomplete dataset,which highlights its potential for more flexible and sensitive maintenance of smart grids in smart cities.

Research and Design of Coordinated Control Strategy for Smart Electromechanical Actuator System

In order to improve the frequency response and anti-interference characteristics of the smart electromechanical actuator(EMA)system,and aiming at the force fighting problem when multiple actuators work synchronously,a multi input multi output(MIMO)position difference cross coupling control coordinated strategy based on double‑closed-loop load feedforward control is proposed and designed.In this strategy,the singular value method of return difference matrix is used to design the parameter range that meets the requirements of system stability margin,and the sensitivity function and the H_(∞)norm theory are used to design and determine the optimal solution in the obtained parameter stability region,so that the multi actuator system has excellent synchronization,stability and anti-interference.At the same time,the mathematical model of the integrated smart EMA system is established.According to the requirements of point-to-point control,the controller of double-loop control and load feedforward compensation is determined and designed to improve the frequency response and anti-interference ability of single actuator.Finally,the 270 V high-voltage smart EMA system experimental platform is built,and the frequency response,load feedforward compensation and coordinated control experiments are carried out to verify the correctness of the position difference cross coupling control strategy and the rationality of the parameter design,so that the system can reach the servo control indexes of bandwidth 6 Hz,the maximum output force 20000 N and the synchronization error≤0.1 mm,which effectively solves the problem of force fighting.