Research on the Design and Application of Virtual and Real Integrated Training Platform Based on Intelligent Manufacturing

In this paper,we built a robot training platform using virtual simulation software,and the robot assembly,handling,and palletizing were realized.The workstation includes an industrial robot,gas control unit,track function module,assembly function module,palletizing function module,vision module,etc.,and robot movement is achieved through language programming.The platform provides conditions for the practical ability training of application-oriented talents.

Design and Implementation of Cloud Platform for Intelligent Logistics in the Trend of Intellectualization

Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logistics, this paper designed an intelligent logistics platform containing the main applications such as e-commerce, self-service transceiver, big data analysis, path location and distribution optimization. The intelligent logistics service platform has been built based on cloud computing to collect, store and handling multi-source heterogeneous mass data from sensors, RFID electronic tag, vehicle terminals and APP, so that the open-access cloud services including distribution, positioning, navigation, scheduling and other data services can be provided for the logistics distribution applications. And then the architecture of intelligent logistics cloud platform containing software layer(SaaS), platform layer(PaaS) and infrastructure(IaaS) has been constructed accordance with the core technology relative high concurrent processing technique, heterogeneous terminal data access, encapsulation and data mining. Therefore, intelligent logistics cloud platform can be carried out by the service mode for implementation to accelerate the construction of the symbiotic win-winlogistics ecological system and the benign development of the ICT industry in the trend of intellectualization in China.

The Client/server-based Distributed Architecture of a CIM Intelligent Integrating Platform

Information integrating platform is a basic supporting environment based on informationtechnology for a CIM(Computer Integrated Manufacturing)system.There are some prob-lems to solve in the research and development of the platform,such as the type of informa-tion processed in the platform and the distribution strategy of the platform system.This pa-per introduces a plan of an intelligent information integrating platform for CIM system basedon the client/server architecture,named I3P.The architecture,organization and detailed de-sign of services in I3P are also described.

Intelligent decision support platform of new energy vehicles

New energy vehicles(NEVs) are gaining wider acceptance as the transportation sector is developing more environmentally friendly and sustainable technology. To solve problems of complex application scenarios and multi-sources heterogenous data for new energy vehicles and weak platform scalability,the framework of an intelligent decision support platform is proposed in this paper. The principle of software and hardware system is introduced. Hadoop is adopted as the software system architecture of the platform. Master-standby redundancy and dual-line redundancy ensure the reliability of the hardware system. In addition, the applications on the intelligent decision support platform in usage patterns recognition, energy consumption, battery state of health and battery safety analysis are also described.

Cloud Control System Architectures,Technologies and Applications on Intelligent and Connected Vehicles:a Review

The electrification of vehicle helps to improve its operation efficiency and safety.Due to fast development of network,sensors,as well as computing technology,it becomes realizable to have vehicles driving autonomously.To achieve autonomous driving,several steps,including environment perception,path-planning,and dynamic control,need to be done.However,vehicles equipped with on-board sensors still have limitations in acquiring necessary environmental data for optimal driving decisions.Intelligent and connected vehicles(ICV)cloud control system(CCS)has been introduced as a new concept as it is a potentially synthetic solution for high level automated driving to improve safety and optimize traffic flow in intelligent transportation.This paper systematically investigated the concept of cloud control system from cloud related applications on ICVs,and cloud control system architecture design,as well as its core technologies development.Based on the analysis,the challenges and suggestions on cloud control system development have been addressed.

Key Technologies and Development Trends in Advanced Intelligent Sawing Equipments

As a starting point in equipment manufacturing,sawing plays an important role in industrial production.Intelligent manufacturing equipment is an important carrier of intelligent manufacturing technologies.Due to the backwardness of intelligent technology,the comprehensive performance of sawing equipments in China is obviously different from that in foreign countries.State of the art of advanced sawing equipments is investigated along with the technical bottleneck of sawing machine tool manufacturing,and a new industrial scheme of replacing turning-milling by sawing is described.The key technologies of processing-measuring integrated control,multi-body dynamic optimization,the collaborative sawing network framework,the distributed cloud sawing platform,and the self-adapting service method are analyzed;with consideration of the problems of poor processing control stableness,low single machine intelligence level,no on-line processing data service and active flutter suppression of sawing with wide-width and heavy-load working conditions.Suggested directions for further research,industry implementation,and industry-research collaboration are provided.

Research and application of artificial intelligence service platform for the power field

Conventional analysis methods cannot fully meet the business needs of power grids.At present,several artificial intelligence (AI) projects in a single business field are competing with each other,and the interfaces between the systems lack unified specifications.Therefore,it is imperative to establish a comprehensive service platform.In this paper,an AI platform framework for power fields is proposed;it adopts the deep learning technology to support natural language processing and computer vision services.On one hand,it can provide an algorithm,a model,and service support for power-enterprise applications,and on the other hand,it can provide a large number of heterogeneous data processing,algorithm libraries,intelligent services,model managements,typical application scenarios,and other services for different levels of business personnel.The establishment of the platform framework could break data barrier,improve portability of technology,avoid the investment waste caused by repeated constructions,and lay the foundation for the construction of "platform + application + service" ecological chain.

Integrated and Intelligent Manufacturing： Perspectives and Enablers

随着市场竞争的日益激烈和技术的进步,越来越多的国家把先进制造技术摆在促进经济增长的首要位置。德国于2013年公布"工业4.0"战略。美国政府于2011年推出"先进制造业伙伴关系"(AMP)计划,又于2014年推出"国家制造业创新网络"(NNMI)计划。最近,美国正式推出"美国制造业"计划,该计划通过加强工业界、学术界和政府伙伴间的密切合作,进一步有效"利用现有资源……培育制造业创新能力并加速商业化进程"。2015年,中国政府正式发布《中国制造2025》这一面向制造业的十年规划和路线图。在所有的国家计划中,核心技术的发展都集中应用于先进制造系统领域。一种新的制造模式正在兴起,其具备两个独特的特征:集成化制造和智能制造。这一趋势符合工业革命的发展进程,而在此进程中人们不断追求更高效率的生产系统。为此,人们为新的制造模式划定了10项主要技术。本文介绍了集成化智能制造(i^2M)系统的基本原理和需求,同时也介绍了来自不同领域的相关技术。值得一提的是,本文还讨论了物联网和服务(Io TS)、信息物理系统(CPS)和云计算等关键的技术推动力量。通用电气(GE)的Predix和美国参数技术公司(PTC)的Thing Worx等商用平台的应用所面临的挑战也得到了有效应对。

我国金属矿山智能化现状与问题探讨

我国金属矿山智能化在经历了前期的探索性研究后,已进入了规模化、常态化应用的新阶段。为了系统评价已形成的研究成果、保证前期积累得以顺利移植和推广,以智能生产和集成平台两类代表性应用为主要内容,总结了金属矿山智能化发展现状和应用效果。结果表明:我国金属矿山在智能开采领域取得了长足的进步,露天矿山的遥控铲装运输、地下矿山的电机车自动化、固定设施的无人值守等项目已开始常态化应用;在集成平台建设上具有鲜明的特色,技术平台、安全平台、集控平台和决策平台已在多个矿山的生产管控中发挥作用。最后,结合现状分析着重探讨了矿山在建设内容选择、关键技术确定、数字化转型路径、管理模式转变、运维与应用效果等方面出现的问题,指出了容易产生的误区,为矿山企业扩大建设成果、保证建设实效、规避建设风险提供参考。

基于“一中心四平台”的公立医院后勤运营管理实践研究

目的探讨基于“一中心四平台”的医院后勤运营管理模式成效。方法以医院智慧管理分级评估标准为依据,依托大数据、物联网、互联网+、人工智能等技术运用,打造后勤智慧运维管理中心以及设备管控信息化平台、安全防范信息化平台、能耗监测信息化平台、运营管理信息化平台的“一中心四平台”运营管理模式。结果经过样本医院的管理实践证明:基于“智慧联动”的设备故障处置能力得到显著提升,2022年故障报警次数同比2021年下降28.63%,其中高级、普通报警次数同比2021年分别下降69.53%、33.15%;基于“一站式”的后勤服务保障能力得到显著提升,2022年同比2021年维修次数下降2.92%,维修质量有所提高,反复维修频次降低;基于“数据挖掘”的能耗管控能力得到显著提升,2022年万元收入能耗支出同比2021年下降8.71%。结论“一中心四平台”可以显著提高后勤运维管理水平。

罕见病寻医找药多功能智慧化药学服务平台的建立与应用

目的加强罕见病患者合理用药管理,提高用药综合保障水平,以解决罕见病用药痛点问题。方法借助移动信息化技术,开发广东短缺药品咨询平台应用程序,并建立罕见病患者智慧化多功能的药学信息服务。结果作为中国首个整合省级罕见病医药资源的大数据平台,通过建立完善、专业的罕见病移动式药学服务体系,创新性实现线上线下“医+药+患”三方闭环。结论该药学服务平台为罕见病患者搭建起寻医找药的桥梁,助力健康中国高质量发展。

大庆油田CIFLog测井数智云平台建设应用实践

针对大庆油田生产中测井数据量大、类型多和数据来源复杂等问题,以中国石油天然气集团有限公司大型测井处理解释软件CIFLog为基础,以业务需求为主导,采用微服务架构和测井分布式云计算技术体系,研发测井大数据存储管理、中间服务层和云端测井处理解释应用等新功能,形成了大庆油田测井数智云应用平台。目前,平台已全面安装部署到大庆油田相关单位,应用效果显著。特别在大庆油田智能决策中心,平台直接用于重点水平井随钻地质导向的现场决策,大幅提升了Ⅰ类储层的钻遇率。未来平台将重点围绕新功能研发、油田数智化应用场景建设和标准化技术体系构建等开展工作,并将取得的成果及时推广复制到西南油田、塔里木油田等油气田。CIFLog云平台作为中国油气工业软件数智化建设应用的先行典范,必将发挥越来越重要的示范引领作用。

面向临床的智能科研分析平台的研究与应用

目的建立智能科研分析平台,提高临床医生的科研效率。方法利用自然语言处理、深度学习、智能分析挖掘等技术,通过临床数据采集、存储、分析、挖掘等,进行全面的数据整合、高效的数据治理,并构建临床知识库及专病模型。结果平台可提供数据整合、数据清洗、可视化分析挖掘等多项临床科研服务。结论利用智能科研分析平台对临床诊疗数据进行有效的深度挖掘,可多层次、多角度地满足科研需求,提高医生的科研产出,解决科研数据分析瓶颈等问题。

智能机舱验证平台设计与开发

智能机舱是近年来提出的概念,目前尚处于初级阶段,其功能,如数据采集、特征提取,以及故障诊断等的准确性尚缺乏规范性的验证手段。以某型内河船舶机舱动力系统为对象,基于NI LabVIEW软件平台和现场可编程门阵列硬件开发智能机舱验证平台,结合监测设备工作过程机理,按信号特征、通道,以及接口一致的原则,模拟输出柴油机、辅助发电机、齿轮箱和轴系等设备各类监测信号。通过开发的控制软件,可实现标准的、故障的和设备性能衰退的3类信号输出,为智能机舱系统数据采集、信号特征提取、监测诊断算法,以及健康状态评估算法的准确性和实时性提供验证平台。

胸痛智能化平台的构建及在ST段抬高型心肌梗死患者中的应用

目的通过胸痛智能化平台的构建及应用,探讨其在急性ST段抬高型心肌梗死患者救治效率及临床预后的影响。方法由多学科成员组成胸痛智能化平台管理小组,将院前急救系统、医院电子病历系统、检验科信息系统、影像归档和通信系统融为一体,构建胸痛智能化平台并将其应用于急性ST段抬高型心肌梗死患者的救治与护理。选取2021年4月—2023年5月在深圳市某三级甲等医院急诊科就诊的急性ST段抬高型心肌梗死患者172例,以应用胸痛智能化平台前后分为对照组和试验组各86例,比较两组救治时间、效率及预后等指标的差异。结果应用胸痛智能化平台后,试验组发病至首次医疗接触时间、首次医疗接触至导丝通过时间、进医院大门至导丝通过时间、首次医疗接触至使用双联抗血小板治疗时间、入门至造影时间均显著低于对照组,差异具有统计学意义(均P<0.05)。试验组患者出院时的氨基末端B型脑钠肽前体水平显著低于对照组(P<0.05),但两组出院时左心室射血分数差异无统计学意义(P=0.828)。结论应用胸痛智能化平台可缩短急性ST段抬高型心肌梗死患者救治各环节的时间,提高救治效率,改善患者预后。

基于校企合作的燃气输配智慧化实验平台设计与开发

针对燃气企业人才职业能力培养与新工科背景下燃气输配课程教学改革的需要,实施行业指导、校企共建,设计建设了燃气输配智慧化实验平台,开发出多种类型的实验项目,构建了多层次实验教学项目体系并进行了实验教学方法的探索。该平台运用各种信息化先进技术,可模拟燃气输配管网工艺系统及运行工况、燃气管网智能化控制系统运行、燃气管网事故应急处理等任务,具有丰富多样的实验与工程实训功能,有利于实施理实一体化教学,锻炼和提高学生的工程实践能力、智能化能力和创新意识,加强培养学生解决城市燃气输配复杂工程问题的能力和素质。

基于数字孪生的模块化生产系统实践教学平台设计与实现

该文将数字孪生技术应用于模块化生产系统(modular production system,MPS)的智能化改造中,构建了基于数字孪生的MPS实践教学平台。依托监控系统和虚实交互等关键技术,增加了MPS数字孪生体的虚拟建模、虚实联调和PLC程序软件在环/硬件在环调试等实训环节;验证了MPS实践教学平台设计方案的可行性;制定了新的教学框架及详细的实训内容和考核方案。最后,将实训内容与大学生竞赛相结合,提高了学生对智能制造、工业生产的认知能力和实践动手能力。

教育信息化背景下高校智慧教学环境构建

在教育信息化背景下,高校构建智慧教学环境是打造智慧校园的必然要求。目前,在智慧教学环境构建过程中还存在基础设施缺乏长远规划、各部门之间缺乏协作、各教学平台相互孤立以及教师信息技术能力有待提高等问题。针对目前高校信息化建设的现状及主要问题,提出统一规划完善机制、构建综合性智慧教学管理系统、搭建智慧教学平台、加强管理人员队伍建设、提高师生信息技术素养等举措,构建一个智慧、数据、网络、协作一体化的教学环境,推进信息技术与教育教学的深度融合。