A review of digital twin in product design and development

In the era of digitalization, there are many emerging technologies, such as the Internet of Things (IoT), Digital Twin (DT), Cloud Computing and Artificial Intelligence (AI), which are quickly developped and used in product design and development. Among those technologies, DT is one promising technology which has been widely used in different industries, especially manufacturing, to monitor the performance, optimize the progresses, simulate the results and predict the potential errors. DT also plays various roles within the whole product lifecycle from design, manufacturing, delivery, use and end-of-life. With the growing demands of individualized products and implementation of Industry 4.0, DT can provide an effective solution for future product design, development and innovation. This paper aims to figure out the current states of DT research focusing on product design and development through summarizing typical industrial cases. Challenges and potential applications of DT in product design and development are also discussed to inspire future studies.     

利用一户一码 简化固网修障 提升用户感知

随着宽带的不断增长,用户对运营商的快速支撑能力提出了更高的要求。文章探讨了通过"一户一码"系统建设,将用户宽带和IPTV业务二维码化,通过二维码与固网业务进行绑定,用户业务出现故障需要与装维人员联系咨询的时候,可使用微信等第三方扫码工具扫描家中的业务二维码,进行电话联系咨询、业务查询、故障诊断、一键报障,最终使得用户响应速度和服务效率得到很大提高,取得了非常显著的效果。     

基于数据挖掘的开源电子资源访问行为统计模型

为了解决当前图书馆资源个性化推荐过程中存在推荐的准确率、召回率以及效率较低的问题,采用二维距离模型构建用户社区模型,用于描述访问用户与图书馆开源电子资源之间的关系,并对互联网用户需求和访问行为进行模糊规则推理.依据互联网用户属性和图书馆资源访问需求属性之间的模糊规则,建立图书馆开源电子资源访问行为统计模型,并利用该模型向用户提供个性化推荐服务.仿真结果表明,所建模型的推荐召回率高达98. 4%,推荐准确率为99. 2%,运行时间小于0. 04 s.所建模型能够为互联网用户提供准确、高效地图书馆资源个性化推荐服务.     

ED-SWE: Event detection based on scoring and word embedding in online social networks for the internet of people

Online social media networks are gaining attention worldwide, with an increasing number of people relying on them to connect, communicate and share their daily pertinent event-related information. Event detection is now increasingly leveraging online social networks for highlighting events happening around the world via the Internet of People. In this paper, a novel Event Detection model based on Scoring and Word Embedding (ED-SWE) is proposed for discovering key events from a large volume of data streams of tweets and for generating an event summary using keywords and top-k tweets. The proposed ED-SWE model can distill high-quality tweets, reduce the negative impact of the advent of spam, and identify latent events in the data streams automatically. Moreover, a word embedding algorithm is used to learn a real-valued vector representation for a predefined fixed-sized vocabulary from a corpus of Twitter data. In order to further improve the performance of the Expectation-Maximization (EM) iteration algorithm, a novel initialization method based on the authority values of the tweets is also proposed in this paper to detect live events efficiently and precisely. Finally, a novel automatic identification method based on the cosine measure is used to automatically evaluate whether a given topic can form a live event. Experiments conducted on a real-world dataset demonstrate that the ED-SWE model exhibits better efficiency and accuracy than several state-of-art event detection models.     

An IoT-Aware System for Managing Patients’ Waiting Time Using Bluetooth Low-Energy Technology

It is a common observation that whenever patients arrives at the front desk of a hospital, outpatient clinic, or other health-associated centers, they have to first queue up in a line and wait to fill in their registration form to get admitted. The long waiting time without any status updates is the most common complaint, concerning health officials. In this paper, UrNext, a location-aware mobile-based solution using Bluetooth low-energy (BLE) technology is presented to solve the problem. Recently, a technology-oriented method, the Internet of Things (IoT), has been gaining popularity in helping to solve some of the healthcare sector’s problems. The implementation of this solution could be illustrated through a simple example of when a patient arrives at a clinic for a consultation. Instead of having to wait in long lines, that patient will be greeted automatically, receive a push notification of an admittance along with an estimated waiting time for a consultation session. This will not only provide the patients with a sense of freedom but would also reduce the uncertainty levels that are generally observed, thus saving both time and money. This work aims to improve the clinics’ quality of services, organize queues and minimize waiting times, leading to patients’ comfort while reducing the burden on nurses and receptionists. The results demonstrate that the presented system is successful in its performance and helps achieves a pleasant and conducive clinic visitation process with higher productivity.     

体育信息资源整合及其网络共享服务模式的构建

学校的体育教学以及科学研究都与体育资源的整合有着密切的关系，尤其对我国体育事业的发展起着一定的推动作用。科学技术的发展也推动着互联网信息平台的建设，体育事业的发展也跟随这样的信息建设而实行有效的整合与应用。本文主要结合当今互联网中体育资源信息整合的基本情况，来具体阐述体育信息资源网络构建的过程和内容。     

基于物联网的地质灾害自动化实时监测体系设计与实践

通过物联网技术实现地质灾害各监测要素的物物相连,实现前端报警、无线互联互通功能,建立地质灾害监测预警平台,实现专业监测数据具备部、省、市、县四级信息互联互通的功能实时共享;使监测预警信息实时发送至隐患点防灾责任人、监测责任人和监测人,以指导一线防灾工作高效开展;并在自贡市荣县一匹山崩塌预警过程中取得了重要成效,具有很强的参考价值。     

基于安全规范化管控系统的电力建设安全管理研究

在电力建设工程项目管理中,传统的安全管理方式存在监管不及时、不到位以及落实管理要求的力度层层衰减的现象,因此安全管理工作仍未取得实质性效果。基于现有的安全规范化管控系统,编制了基建标准化作业流程和基建标准化检查流程,结合工地视频在线监控系统,提出将电力基建工程安全管理工作纳入安全规范化管控系统进行监管,同时针对基建工程建设的特点,进一步开发了相关功能模块,使电力基建施工人员和管理人员更加方便地使用该系统。改进后的安全规范化管控系统实现了基建工程从开工到竣工的全过程监管,提高了现场作业人员的安全意识,规范了现场安全措施,同时也加强了施工作业的安全监管,能够保障工程顺利推进。     

基于SM4算法的移动终端接入车间信息系统的安全性设计与验证

网络化的车间信息远程控制带给用户便捷的同时伴随着安全隐患,为了杜绝移动终端接入车间信息系统通信过程可能存在的潜在威胁,针对移动终端接入车间信息系统可能存在的安全问题,设计了身份认证、访问控制、异常行为检测、黑白名单过滤和接入审核的安全机制,并建立一个3层信息安全控制系统。经测试结果表明,设计的安全机制有效地提高了车间信息系统移动终端接入的安全性,可阻止针对移动终端接入车间信息系统可能存在的恶意攻击。     

基于物联网的温室大棚智能监控系统研究

针对温室大棚应用过程中存在劳动力需求大、作物生长环境参数采集不精准的问题,设计了基于物联网的温室大棚智能监控系统,以实现减少劳动力、作物生长环境参数的精准采集、灌溉设备的远程控制等。传感器节点实时采集各路的数据传输到网关,并通过GPRS模块传输到服务器,利用GPRS无线通信和Internet网络实现人机通信交互,完成对现场农作物生长环境的监测;同时,服务器根据土壤的实际湿度与农业知识专家库对比进行控制决策,并通过网关向灌溉装置发送灌溉指令,实现灌溉的远程控制。该系统在新疆塔城地区应用实验表明:系统运行稳定,具有较好的鲁棒性,能够达到预期设计的目标。