Intelligent casting:Empowering the future foundry industry

Emerging technological advances are reshaping the casting sector in latest decades.Casting technology is evolving towards intelligent casting paradigm that involves automation,greenization and intelligentization,which attracts more and more attention from the academic and industry communities.In this paper,the main features of casting technology were briefly summarized and forecasted,and the recent developments of key technologies and the innovative efforts made in promoting intelligent casting process were discussed.Moreover,the technical visions of intelligent casting process were also put forward.The key technologies for intelligent casting process comprise 3D printing technologies,intelligent mold technologies and intelligent process control technologies.In future,the intelligent mold that derived from mold with sensors,control devices and actuators will probably incorporate the Internet of Things,online inspection,embedded simulation,decision-making and control system,and other technologies to form intelligent cyber-physical casting system,which may pave the way to realize intelligent casting.It is promising that the intelligent casting process will eventually achieve the goal of real-time process optimization and full-scale control,with the defects,microstructure,performance,and service life of the fabricated castings can be accurately predicted and tailored.

Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial applications.As the field of embedded memory continues to evolve,innovative strategies are emerging to enhance performance.Among them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·n^(-1)),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its potentialapplications.It provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by manysemiconductor giants.Additionally,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic computing.Finally,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

Design of Remote Control System of Intelligent Community Based on Embedded Web Server

A multichannel remote control system for imelligent community based on the STC89C54 chip was designed with the technique of embedded Web server. The control system can monitor 255 signals and eight control signals of one node at the same time, and can be connected to the internet by the TCP/IP protocol. So the field control information can be shown dynamically in a remote computer by way of web pages. The system has high convenience and friendly monitoring interface, then especially is fit for the large conamunity and storage that need multipoint monitoring and frequent switching door.

Qt/Embedded及嵌入式Linux在智能监控系统控制中的应用

主要介绍了基于S3C2440 ARM微处理器的实验室环境监控系统的设计方案,结合项目实例重点研究了智能监控系统中基于Qt/Embedded的图形用户界面(GUI)应用程序和各类传感器Linux驱动程序开发过程及应用疑难点,实现Qt/Embedded与Linux-C系统驱动编程的结合。

基于Qt/Embedded嵌入式控制界面的设计

介绍了一种基于嵌入式Linux操作系统的小型通用智能控制器的图形用户界面的设计,着重阐述了使用跨平台开发工具Qt/Embedded的开发过程。

基于Qt/Embedded的农林智能装备导航定位算法研究及软件设计

随着农林装备的智能化发展,导航定位成为其中重要功能之一。研究基于ODO和ATK-S1216F8-BD-GPS/北斗定位模块,利用嵌入式Qt技术和Sqlite数据库技术,在Ubuntu系统下设计了具有一定通用性的导航定位软件,该软件便于嵌入到各种农林智能装备,用于农林培育、农林巡检和农林消防等方面,具有定位监测、实时导航、信息管理、数据处理和报警提示等功能,为各类农林装备集成化开发提供便利。同时针对ODO误差累积和GPS定位中断的现象,提出基于GPS/ODO的定位算法,实现更为精准的定位。将该导航定位软件应用于某型号的林草巡检机器人进行实验,实验结果表明,该导航定位软件可以较好地实现信息获取和路径规划,具有良好的可扩展性和通用性,与传统的使用单一GPS模块和ODO模块的导航定位系统相比,具有更高的定位精度。

Cyber-physical-social System in Intelligent Transportation

A cyber-physical system (CPS) is composed of a physical system and its corresponding cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the controllability, efficiency and reliability of a physical system, such as vehicle collision avoidance and zero-net energy buildings systems. It has become a hot R&D and practical area from US to EU and other countries. In fact, most of physical systems and their cyber systems are designed, built and used by human beings in the social and natural environments. So, social systems must be of the same importance as their CPSs. The indivisible cyber, physical and social parts constitute the cyber-physical-social system (CPSS), a typical complex system and it's a challengeable problem to control and manage it under traditional theories and methods. An artificial systems, computational experiments and parallel execution (ACP) methodology is introduced based on which data-driven models are applied to social system. Artificial systems, i.e., cyber systems, are applied for the equivalent description of physical-social system (PSS). Computational experiments are applied for control plan validation. And parallel execution finally realizes the stepwise control and management of CPSS. Finally, a CPSS-based intelligent transportation system (ITS) is discussed as a case study, and its architecture, three parts, and application are described in detail. © 2014 Chinese Association of Automation.

A Review of the Design and Feasibility of Intelligent Water-Lubrication Bearings

Water-lubrication bearings are critical components in ship operation.However,studies on their maintenance and failure detection are highly limited.The use of sensors to continually monitor the working operation of bearings is a potential approach to solve this problem,which is collectively called intelligent bearings.In this literature review,the recent progress of electrical resistance strain gauges,Fiber Bragg grating,triboelectric nanogenerators,piezoelectric nanogenerators,and thermoelectric sensors for in-situ monitoring is summarized.Future research and design concepts on intelligent water-lubrication bearings are also comprehensively discussed.The findings show that the accident risks,lubrication condition,and remaining life of water-lubricated bearings can be evaluated with the surface temperature,coefficient of friction,and wear volume monitoring.The research work on intelligent water-lubricated bearings is committed to promoting the development of green,electrified,and intelligent technologies for ship propulsion systems,which have important theoretical significance and application value.

Qt Embedded环境下柱上开关控制器的人机接口设计

为了解决传统柱上开关智能化程度低的缺点,研发了一种新型智能柱上开关控制器。针对新型智能柱上开关控制器所需人机接口的要求,讨论了基于Qt Embedded的智能柱上开关控制器人机界面的设计,并提供了一种灵活的按键控制人机界面的方法。可供相关的工程设计参考。

Construction of well logging knowledge graph and intelligent identification method of hydrocarbon-bearing formation

Based on the well logging knowledge graph of hydrocarbon-bearing formation(HBF),a Knowledge-Powered Neural Network Formation Evaluation model(KPNFE)has been proposed.It has the following functions:(1)extracting characteristic parameters describing HBF in multiple dimensions and multiple scales;(2)showing the characteristic parameter-related entities,relationships,and attributes as vectors via graph embedding technique;(3)intelligently identifying HBF;(4)seamlessly integrating expertise into the intelligent computing to establish the assessment system and ranking algorithm for potential pay recommendation.Taking 547 wells encountered the low porosity and low permeability Chang 6 Member of Triassic in the Jiyuan Block of Ordos Basin,NW China as objects,80%of the wells were randomly selected as the training dataset and the remainder as the validation dataset.The KPNFE prediction results on the validation dataset had a coincidence rate of 94.43%with the expert interpretation results and a coincidence rate of 84.38%for all the oil testing layers,which is 13 percentage points higher in accuracy and over 100 times faster than the primary conventional interpretation.In addition,a number of potential pays likely to produce industrial oil were recommended.The KPNFE model effectively inherits,carries forward and improves the expert knowledge,nicely solving the robustness problem in HBF identification.The KPNFE,with good interpretability and high accuracy of computation results,is a powerful technical means for efficient and high-quality well logging re-evaluation of old wells in mature oilfields.

Study on video intelligent early warning and tracking system based on ARM

The protrusion of the planning of numerical intelligent early-warning and tracking system in this study which can ease triggerman's work strength,lay the next generation intelligence supervision system foundation and expand effectively the video resources use etc. In the numerical intelligent early-warning matrix sub-system,the authors have designed a kind dual-core system which includes both ARM and DSP,and designed detailedly traffic dynamics affairs early-warning arithmetic which bases on that system. And then,this system will carry quickly on fixing the right position of license plate,correcting the inclination degree of license plate,and thinning it to get the number of this license and severity grade. Secondly,in the rotated dome camera sub-system,the authors have designed three-dimensional trajectory mathematical model which makes use of a fuzzy PID controller to achieve the high- speed track. At last,Simulation shows that the proposed control method has high profile tracking precision,accuracy and robustness of the disturbance.

Semantics Interaction Control for Constructing Intelligent Ecology of Internet of Things and Critical Component Research

Intelligent equipment is a kind of device that is characterized by intelligent sensor interconnections, big data processing, new types of displays, human-machine interaction and so on for the new generation of information technology. For this purpose, in this paper, first, we present a type of novel intelligent deep hybrid neural network algorithm based on a deep bidirectional recurrent neural network integrated with a deep backward propagation neural network. It has realized acoustic analysis, speech recognition and natural language understanding for jointly constituting human-machine voice interactions. Second, we design a voice control motherboard using an embedded chip from the ARM series as the core, and the onboard components include ZigBee, RFID, WIFI, GPRS, a RS232 serial port, USB interfaces and so on. Third, we take advantage of algorithms, software and hardware to make machines “understand” human speech and “think” and “comprehend” human intentions to structure critical components for intelligent vehicles, intelligent offices, intelligent service robots, intelligent industries and so on, which furthers the structure of the intelligent ecology of the Internet of Things. At last, the experimental results denote that the study of the semantics interaction controls based on an embedding has a very good effect, fast speed and high accuracy, consequently realizing the intelligent ecology construction of the Internet of Things.

A Fuzzy Control Based Intelligent Control System for Flower Greenhouse

In order to realize intelligent control of flower greenhouse＇ s parameters of atmospheric temperature and humidity, lighting intensity, CO2 concentration and soil water content, it carries out design with ZigBee network, embedded controller and intelligent fuzzy control algorithm as core. With advantages of high precision and stability, the design of sensor circuit mainly employs digital module sensors. In order to save energy, the sensor circuit is controlled by relay switch to work at the proper time. The gateway node is designed by employing high performance 32-digit embedded controller and WinCE6.0 embedded OS is self customized. And embedded SQlite database is realized on WinCE6.0 for effectively managing data. The closed loop control is realized by employing fuzzy control algorithm and the test result shows that the deviation of atmospheric temperature is controlled within ± 0.5° C, the deviation of illumination intensity is controlled within ± 283 LUX, the deviation of CO2 concentration is controlled within ± 24 PPM, the deviation of atmospheric humidity is controlled within ± 13% and that of soil water content is controlled within ± 0.9%, thus all parameters fully meet practical requirements of flower greenhouse.

基于Embedding-GRU的水库水位预测模型

为解决因水库数据采集设备能力有限、水文数据不全导致预测水库水位时预测精度较低的问题,以四岭水库每小时水位监测数据为例,提出基于嵌入式-门控循环单元(Embedding-gated recurrent unit,Embedding-GRU)的水库水位预测模型,即利用Embedding方法将单维降雨量数据升维至多维数据,扩大降雨的气候特征,结合GRU算法进行水库水位预测。将该模型与传统深度学习算法长短期记忆(long short-term memory,LSTM)、门控循环单元(gated recurrent unit,GRU)、双向门控循环单元(bidirectional recurrent neural network,BiGRU)这3种模型对比,结果显示:Embedding-GRU模型的预测效果均优于其他传统模型,平均绝对误差EMA和均方根误差ERMS分别平均下降19.6%和7.7%,并且在预测次日水库水位的应用场景中决定系数R^(2)能够达到0.98937。结果表明:该模型耦合多种算法,扩大单变量的气候特征,具有较高预测精度和泛化能力。相较传统模型,基于Embedding-GRU的水库水位预测模型能够对缺少温度、气压、风速、蒸发量等监测数据的水库进行可靠度较高的预测,适用水库范围更广,为水库日常运维、除险加固提供参考。

基于微积分控制的智能灌溉动态监控系统设计

为了解决当前农田灌溉水肥配比不均匀、不精确的问题,借助微积分控制原理,设计了智能灌溉动态监控系统。系统分为监测部分和控制部分,监测部分加载了显示软件、监控软件、MySQL数据库、水肥浓度控制算法的工业计算机,控制部分是指嵌入式控制器及其外围电路。整个系统的工作过程为:用户设置灌溉施肥参数,监测部分通过TCP通信将灌溉指令发送给嵌入式控制器,控制器收到指令后,启动变频器和增压泵,由此打开水肥一体机的电动球阀,开始灌溉作业;与此同时,EC传感器、pH传感器、管道压力传感器、流量计实时采集灌溉过程中水肥溶液的相关参数,并发送给嵌入式控制器;由控制器将数据发送给监测部分,监测部分将采集的数据与设定阈值进行对比,如不满足误差,则启动水肥浓度控制模块,输出调节电动球阀的开合度的指令,从而调整水肥浓度,满足灌溉需求。

一种面向中文自动问答的注意力交互深度学习模型

随着互联网、大数据的飞速发展,以深度神经网络(DNN)为代表的人工智能技术迎来了黄金发展时期,自动问答作为人工智能领域的一个重要分支,也得到越来越多学者的关注。现有网络模型可以提取问题或答案的语义特征,但其一方面忽略了问题与答案之间的语义联系,另一方面也不能从整体上把握问题或答案内部所有字符之间的潜在联系。基于此,提出了两种不同形式的注意力交互模块,即互注意力交互模块和自注意力交互模块,并设计出一套基于所提注意力交互模块的深度学习模型,用于证明该注意力交互模块的有效性。首先将问题和答案中的每个字符映射成固定长度的向量,分别得到问题和答案对应的字嵌入矩阵;然后将字嵌入矩阵送入注意力交互模块,得到综合考虑问题与答案所有字符之后的字嵌入矩阵,并与之前的字嵌入矩阵相加,送入深度神经网络模块,用于提取问题与答案的语义特征;最后得到问题与答案的向量表示并计算两者之间的相似度。实验结果表明,所提模型的Top-1准确度较主流深度学习模型最高提升了3.55%,证明了所提注意力交互模块对于改善上述问题的有效性。

突发事件中的嵌入式协同情报服务机制

[目的/意义]面对错综复杂的跨域突发事件时,必须破除情报资源、情报服务和应急管理内权责之间的壁垒,以产生嵌入式协同效应,从而提高应急管理效能。[方法/过程]文章从情报制度保障、情报组织保障及预警情报机制3个层面的视角出发,研究跨域情报服务突发事件的基础保障、情报缺失问题和实现路径。基于应急管理体系和传统情报协同服务体系,利用嵌入式协同情报监测采集系统和危机预警情报系统等工具,构建嵌入式协同情报服务体系框架。[结果/结论]情报理应成为突发事件应急管理的“冲锋号”。文章以嵌入式协同视角从3个层面提出变革情报支持范式:在法律法规层面凸显情报主导、提升情报组织保障和赋能、建立常态化危机预警情报机制。通过构建耦合联动的情报共同体,优化功能互补的应急管理工具箱,打造双重共轭的情报保障体系,从而形塑“随时待命、明辨真相、贴身决策”的嵌入式情报主导的突发事件应急管理情报服务机制。

分娩母猪舍仔猪智能保温控制系统设计

为解决传统仔猪加热装置难以满足不同日龄仔猪体感温度需求、能耗高等问题,设计一种分娩舍仔猪智能保温控制系统。分娩舍仔猪智能保温控制系统根据猪舍养殖环境因子如温度、相对湿度和风速,推算仔猪当前的体感温度,智能和集群调节保温设备的输出功率,以满足不同阶段日龄仔猪对体感温度的需求。开展分娩母猪舍仔猪保温控制系统试验,试验结果表明,该系统能够将仔猪体感温度控制在设定温度区间内,体感温度波动范围在±0.75℃内。不同日龄下体感温度数据计算出的变异系数均小于0.1,表现为弱变异性,说明体感温度的离散程度较小,系统控制体感温度效果相对稳定。该研究为分娩母猪舍环境调控提供参考。

基于激光传感器的农业机械控制器设计

针对当前农业机械控制器对农业机械器件控制能力较差,导致农业机械设备存在换挡异常与平衡性较差的问题,提出基于激光传感器的农业机械控制器设计研究。先选用拿度DPE-10-500激光测距传感器为控制器的数据测量设备,对中央控制模块展开优化。然后设定传感器测量距离与角度,使用圆拟合算法对测量数据进行修正。最后根据激光测量结果,以PID控制器为基础,构建自适应神经模糊控制器,对农业机械设备进行控制测试。测试结果表明:此控制器可按照预设要求完成机械设备的换挡,对机械臂为位置控制误差最大仅为0.58 cm,智能平衡开启状态时,其偏离最大角度仅为1.6°,偏离最大幅值仅为31 cm,极大提升了设备的调试位置精度及平衡性,进一步提升农业机械设备的应用效果。

未来学习中心理念下图书馆教学支持研究

在多元智能技术驱动下,图书馆需抓住未来学习中心的发展契机,发挥海量资源优势,重塑以学习者为中心的教学支持环境,实现用户、空间和知识三元互联的发展愿景。文章回溯未来学习中心文献理论研究,分析图书馆未来教学支持研究的必要性。在智慧学习的理念下探索未来教学支持空间建设和服务平台架构。通过融合传统教学、发展特色学科、培养创新及应用能力,打造互动、开放的新型智慧教学空间,搭建智能技术立体互联、5G课程资源体系为基础、智慧馆员深度嵌入的服务平台架构,最后根据教学过程,开发定制式资源匹配、课程跟踪、跨学科交流及交互体验的未来教学支持场景。