基于物联网的智能校园综合应用平台

建立在物联网时代校园系统数字化的实际需求上,设计了智能校园系统体系结构。具体应用平台包括学习、住宿、饮食、办公四个方面,涵盖了智能考勤、智能教室、智能安防、全面定位,食品安全、食谱搭配、图书管理、智能楼字等多个功能模块。主要以物联网RFID为核心,并融合传感、视频监测、通信技术,借助于互联网构建创新型高效集成管理系统。     

基于物联网技术的智能物业管理系统的设计

近年来,一种融现代建筑技术与通信技术等高科技于一体的新型建筑形式：智能楼宇悄然兴起。时至今日,已经成为现代建筑发展的必然趋势。而与此同时,人们也认识到：要想支撑智能大厦的正常运转,智能化物业管理是必不可少的手段。物联网技术是在计算机互联网的基础上,利用RFID、无线数据通信等技术,构造的一个实体数据沟通世界,是实现智能化物业管理的关键技术之一。论述基于物联网技术的智能物业管理系统的具体实现过程,对生产实践活动具有积极的指导作用。     

电商平台下物联网智能快递箱现状及改进

目的 从实用角度对电商平台下物联网智能快递箱的现状进行研究。方法 根据市场调研情况,综合分析我国当前包装中信息标签隐患较多、外观造型设计品牌识别度较低、RFID芯片利用不够充分和快递箱需要特定条件的循环再利用等方面问题。结论 结合实例论述了未来物联网智能快递箱的改进策略,能为RFID芯片赋能包装安全升级、大数据助力提升包装用户黏性和体验定制个性化包装服务设计,能为物联网智能快递箱设计提供设计思路和切实可行的理论参考。     

物联网趋势下的智能家电设计研究

如今,我国科学技术发展举世瞩目,社会各行业生产逐步从人工转为智能化。尤其是家电设计中,智能化发展尤为明显。借助物联网环境下,也进一步推动了家电智能化设计研究,为人们生活提供了便利。对此,笔者根据实践研究,就物联网趋势下的智能家电设计进行简要分析。     

物联网环境下的智能产品原型设计研究

目的研究在物联网环境下快速、低成本设计智能产品原型的方法。方法阐述了物联网环境下智能产品的特征是具有敏锐的感知能力、智能的处理能力和自然的交互方式,根据原型的概念及其在设计中的作用,分析了物联网环境下智能产品原型的特征和意义。结论提出了通过开源平台和物联网应用平台快速、低成本地构建智能产品原型的方法。通过开源平台和物联网应用平台构建智能产品原型,能够帮助设计师更加有效地对智能产品的设计方案进行表达、探索、测试和评估。     

面向智能交通系统的物联网体系结构的研究

城市交通是城市生活中一个极为重要的环节,也是衡量城市现代化水平的重要标志,在交通堵塞、污染和运输效率低的今天,智能交通系统已成为城市交通体系中不可或缺的组成部分。而物联网技术能够在智能交通的应用中提高其交通管理水平和运行效率,减少交通事故、降低环境污染,促进交通管理及出行服务系统建设的信息化和智能化。文章对物联网和智能交通系统的发展现状和趋势,以及面向智能交通系统的物联网体系结构和车联网进行了简要探讨。     

二维码在物联网中的应用

随着计算机信息和微电子技术的发展,物联网得到国内外的普遍重视和较快发展。物联网是社会信息化发展和科学技术发展的自然推动产物,具有很大的发展潜力和巨大的市场空间。物联网原始含义是物和物相互联结的网络,二维码是物联网感知层的一部分,属于物联网感知与识别技术的一种。物联网的感知层就好像人类的感觉系统一样,是物联网内部核心采集外部数据的接口。文章主要阐述二维码在物联网应用领域的具体实施以及二维码的制作方法。     

基于云计算的物联网平台研究

本文概述了云计算、物联网的概念,指出了物联网存在的问题以及云计算解决物联网所具有的优势,提出了基于云计算的物联网体系结构,为今后物联网的发展提供了理论支撑和依据。     

物联网在智能交通中的应用研究

物联网技术的有效应用将开启智能交通的新时代。     

Design of Intelligent Mosquito Nets Based on Deep Learning Algorithms

An intelligent mosquito net employing deep learning has been one of the hotspots in the field of Internet of Things as it can reduce significantly the spread of pathogens carried by mosquitoes, and help people live well in mosquito-infested areas. In this study, we propose an intelligent mosquito net that can produce and transmit data through the Internet of Medical Things. In our method, decision-making is controlled by a deep learning model, and the proposed method uses infrared sensors and an array of pressure sensors to collect data. Moreover the ZigBee protocol is used to transmit the pressure map which is formed by pressure sensors with the deep learning perception model, determining automatically the intention of the user to open or close the mosquito net. We used optical flow to extract pressure map features, and they were fed to a 3-dimensional convolutional neural network (3D-CNN) classification model subsequently. We achieved the expected results using a nested cross-validation method to evaluate our model. Deep learning has better adaptability than the traditional methods and also has better anti-interference by the different bodies of users. This research has the potential to be used in intelligent medical protection and large-scale sensor array perception of the environment.     

Man Overboard Detection System Using IoT for Navigation Model

Security measures and contingency plans have been established in order to ensure human safety especially in the floating elements like ferry, ro-ro, catamaran, frigate, yacht that are the vehicles services for the purpose of logistic and passenger transport. In this paper, all processes in the event of Man overboard (MOB)are initiated for smart transportation. In MOB the falling person is totally dependent on the person who first saw the falling person. The main objective of this paper is to develop a solution to this significant problem. If a staff member or a passenger does not see the fall into the sea, undesirable situations such as disappearance, injury and death can occur during the period until the absence of the fallen person is noticed. In this paper, a comprehensive and improved solution is provided in terms of personnel and passenger security especially in all the floating elements, in which human resources are intensively involved like passengers, freight, logistics, fishing, business, yacht, leisure and naval vessels. In this case, if the ship's personnel or passengers fall into the sea in any way, it detected the fallen person into the sea by the sensors in the portable emergency device, which each person will carry. The warning system is activated via the in-ship automation system to which the information is transmitted by wireless communication. Thus, the case of MOB will be determined quickly. Internet of things (IoT) has a key role in identifying the location and information of the person falling into the sea through sensors, radio frequency, GPS and connected devices. Simultaneously, the alarm system on board will be activated and MOB flag (Oscar) will automatically be opened. This paper enables the Search and rescue (SAR) operations to be initiated and accelerated without losing time through decision-making process.     

物联网时代的人性化产品设计探讨

目的探讨在物联网时代的人性化产品的设计策略。方法分析传统时期和物联网时期人们对产品在安全性、舒适性、艺术性和环保性方面的要求,总结物联网时代人们对人性化更高层次的需求。结论提出产品设计在物联网技术的基础上,将人性化理念贯穿于产品设计的各个阶段,包括分析阶段、设计阶段、实现阶段,挖掘使用者的潜在需求,构思人性化的智慧型产品创意,模拟产品的真实效果。     

泛在电力物联网在北京经济技术开发区的应用探索

泛在电力物联网是物联网在电力领域的具体体现,建设泛在电力物联网是推进三型两网建设的关键环节,也是实现能源转型的必要手段。阐述了泛在电力物联网的定义,从供电公司角度出发,根据北京经济技术开发区实际情况,讨论了依托地区特点的泛在电力物联网实施策略和实际应用场景,分析了可能遇到的问题。得出结论：随着泛在电力物联网的深入建设,供电公司能够为电力客户提供多元化服务,提高客户满意度;地市供电公司能够依托泛在电力物联网开展更多电力相关业务;泛在电力物联网的安全性、实用性、有效性是发展面临的首要问题。     

人工智能与家居设计

目的研究人工智能(Artificial Intelligence,英文缩写为AI)对家居设计带来的可能影响。方法从人们日常生活对家居设计的需求出发,研究人工智能对家居服务方式带来的影响以及物体形态可能会发生的变化。结论物联网发展到终极模式就是人工智能,是目前智能家居的高等版本,人工智能的快速发展不可避免,这种发展对未来人类的生产生活方式将带来巨大影响。     

物联网时代智慧型移动设备设计探索

基于物联网技术的发展与智慧型移动设备关系的研究,从友好人机交互的起点、自然交互体验的实现过程,创新移动应用的发展方向3个方面,分析了智慧型移动设备具有的感知化、宜人化和多维化的"智慧特征"。在此基础上,阐述了如何通过物联网改变人们使用移动终端的体验,提出了区别于传统的未来智慧型移动设备的设计理念,信息跨平台传播、交互方式的多通道拓展以及设计对象的转变。     

面向物联网的信息家电设计之繁与简

针对信息家电与传统家电相比之下存在的特点和优势,结合物联网技术的发展和应用,提出了新技术环境下信息家电数字化、智能化的未来发展方向。根据信息家电功能、形态、情感因素的设计,阐述了其设计的复杂性与简洁性之间需要制约和平衡,以达到满足消费者物质和精神双层需要的目的,从而建立一种超智能家居环境,并提高人们的生活质量。     

An Optimal Classification Model for Rice Plant Disease Detection

Internet of Things (IoT) paves a new direction in the domain of smart farming and precision agriculture. Smart farming is an upgraded version of agriculture which is aimed at improving the cultivation practices and yield to a certain extent. In smart farming, IoT devices are linked among one another with new technologies to improve the agricultural practices. Smart farming makes use of IoT devices and contributes in effective decision making. Rice is the major food source in most of the countries. So, it becomes inevitable to detect rice plant diseases during early stages with the help of automated tools and IoT devices. The development and application of Deep Learning (DL) models in agriculture offers a way for early detection of rice diseases and increase the yield and profit. This study presents a new Convolutional Neural Network-based inception with ResNset v2 model and Optimal Weighted Extreme Learning Machine (CNNIR-OWELM)-based rice plant disease diagnosis and classification model in smart farming environment. The proposed CNNIR-OWELM method involves a set of IoT devices which capture the images of rice plants and transmit it to cloud server via internet. The CNNIR-OWELM method uses histogram segmentation technique to determine the affected regions in rice plant image. In addition, a DL-based inception with ResNet v2 model is engaged to extract the features. Besides, in OWELM, the Weighted Extreme Learning Machine (WELM), optimized by Flower Pollination Algorithm (FPA), is employed for classification purpose. The FPA is incorporated into WELM to determine the optimal parameters such as regularization coefficient C and kernel . The outcome of the presented model was validated against a benchmark image dataset and the results were compared with one another. The simulation results inferred that the presented model effectively diagnosed the disease with high sensitivity of 0.905, specificity of 0.961, and accuracy of 0.942.     

论物联网时代的到来对工业设计的影响

通过分析物联网的概念、相关的关键技术、主要应用领域与现状及当前的不足之处,提出物联网时代的到来,对工业设计可能产生的影响。论述了物联网技术得到广泛应用后,可能引发的工业设计在设计对象、设计方法、设计工具上的变革。并且,结合最新的基于物联网技术的产品,分析了物联网时代下产品呈现出的信息交互频繁、远程交互等特点。     

物联网时代的智慧型手机设计探析

在当下全球物联网建设不断发展的背景下,以手机设计为研究对象,对未来手机设计进行探索,提出了在未来物联网背景下智慧型手机设计的目标将是以高感知、高智能化、高交互化为载体,根据用户需要提供即时、高效和准确的解决方案;设计方法上,将以用户目标为导向,以用户与手机可能的多种交互方式为研究设计重点,以泛在数据导向设计策略、群体智慧支持设计创新、整合创新提升用户满意度等方法来推进最终设计方案。