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.

Active Vibration Isolation of Micro-Manufacturing Platform Based on Neural Network

The micromation and precision of the Micro-Electromechanical System demand that its manufacturing, measuring and assembling must work in a micro-manufacturing platform with good ability to isolate vibrations. This paper develops a vibration isolation system of micro-manufacturing platform. The brains of many kinds of birds can isolate vibrations well, such as woodpecker’s brain. When a woodpecker pecks the wood at the speed as 1.6 times as the velocity of sound, its brain will tolerate the wallop 1 500 times of the weight of itself without any damage. The isolation mechanics and organic texture of woodpecker’s brain that has good isolation characteristics were studied. A structure model of vibration isolation system for the micro-manufacturing platform is established based on the bionics of the bird’s brain vibration isolation mechanism. In order to isolate effectively the high frequency vibrations from the ground, a rubber layer is used to isolate vibrations passively between the micro-manufacturing platform’s pedestal and the ground. This layer corresponds to the cartilage and muscles in the outer meninges of the bird’s brain. The active vibration isolation technique is adopted to isolate vibrations between the micro-manufacturing platform and the pedestal. Air springs are used as elastic components, which correspond to the interspaces between the outer meninges and the encephala of the bird’s brain. Actuators are made of giant magnetostrictive material, and it corresponds to the nerves and neural muscles linking the meninges and the encephala. The actuators and air springs are arranged vertically in parallel to make use of the giant magnetostrictive actuators effectively. The air springs support almost all weight of the micro-manufacturing platform and the giant magnetostrictive actuators support almost no weight. In order to realize high performance to isolate complex micro-vibration, the control method using a three-layer neural network is presented. This vibration control system takes into account the floor disturbance and the direct disturbance acting on the micro-manufacturing platform. The absolute acceleration of the micro-manufacturing platform is used as the performance index of vibration control. The performance of the control system is tested by numerical simulation. Simulation results show that the active vibration isolation system has good isolation performance against the floor disturbance and the direct disturbance acting on the micro-manufacturing platform in all the frequency range.

Applying Job Shop Scheduling to SMEs Manufacturing Platform to Revitalize B2B Relationship

A small and medium enterprises(SMEs)manufacturing platform aims to perform as a significant revenue to SMEs and vendors by providing scheduling and monitoring capabilities.The optimal job shop scheduling is generated by utilizing the scheduling system of the platform,and a minimum production time,i.e.,makespan decides whether the scheduling is optimal or not.This scheduling result allows manufacturers to achieve high productivity,energy savings,and customer satisfaction.Manufacturing in Industry 4.0 requires dynamic,uncertain,complex production environments,and customer-centered services.This paper proposes a novel method for solving the difficulties of the SMEs manufacturing by applying and implementing the job shop scheduling system on a SMEs manufacturing platform.The primary purpose of the SMEs manufacturing platform is to improve the B2B relationship between manufacturing companies and vendors.The platform also serves qualified and satisfactory production opportunities for buyers and producers by meeting two key factors:early delivery date and fulfillment of processing as many orders as possible.The genetic algorithm(GA)-based scheduling method results indicated that the proposed platform enables SME manufacturers to obtain optimized schedules by solving the job shop scheduling problem(JSSP)by comparing with the real-world data from a textile weaving factory in South Korea.The proposed platform will provide producers with an optimal production schedule,introduce new producers to buyers,and eventually foster relationships and mutual economic interests.

Integrated and Intelligent Manufacturing： Perspectives and Enablers

With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership （AMP） in 2011 and the National Network for Manufacturing Innovation （NNMI） in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further ＂leverage existing resources... to nurture manufacturing innovation and accelerate commercialization＂ by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10- year plan and roadmap toward manufacturing： Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features： integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing （i2M） systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Intemet of Things and Services （IoTS）, cyber-physical systems （CPSs）, and cloud computing are discussed. Challenges are addressed with applica- tions that are based on commercially available platforms such as General Electric （GE）＇s Predix and PTC＇s ThingWorx.

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.

Effects of E-Commerce Platforms on Firm Export——Evidence from China’s Industrial Enterprises

With deepening digital technology applications in international trade, e-commerce platforms have become a major avenue for firm export. Based on a multicountry, multi-product heterogeneous firms trade theory model, this paper investigates the firm export effects of e-commerce platforms, and empirically tests the inferences from the model using data from Alibaba China Station, China industrial enterprises data, and China customs data from 2000 to 2009. Our estimation result shows that overall, e-commerce platforms significantly increase firm export probability and volume;e-commerce platforms enable firms to export products of different types to more countries by reducing the cost of information and export markets threshold while raising trade efficiency. Further analysis of enterprise heterogeneity reveals that SMEs, firms in China's eastern region, and general exporters benefit more from e-commerce platforms than other types of firms do.

数字化转型、平台化变革与企业创新绩效——基于“技术—组织—创新”范式的分析

在数字经济和实体经济深度融合、全球创新竞争加剧的背景下,加快数字化转型和平台化变革,塑造多元互动和整体进化的创新生态系统,是增强制造业企业自主创新能力的重要途径。在传统技术经济范式中引入数字要素和平台理念,构建“技术—组织—创新”理论框架,分析数字化转型促进组织平台化变革进而提升企业创新绩效的作用机制。在理论分析的基础上,基于2014—2021年中国制造业上市公司的面板数据,实证检验了数字化转型、平台化变革与企业创新绩效之间的关系。研究结果表明:数字化转型对企业创新绩效的提升具有普遍的促进作用,并且对数字化水平更高和股权集中度更高的企业效果更显著;数字化转型促进了企业组织的平台化变革,基于数字平台形成创新生态系统进而增强了企业自主创新能力;数字化对企业平台化的推动作用主要通过专业化分工和企业互联互通实现,这是工业互联网平台发挥作用的两个重要维度。推动制造业企业的数字化转型和平台化变革,充分发挥数字平台的创新基础设施作用,能够提升企业创新绩效,推动制造业高质量发展。

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。

工业互联网平台赋能、价值共创与制造企业服务化绩效研究

实施服务化是制造企业形成差异化优势的重要手段,工业互联网平台对推进制造企业服务化具有重要意义。然而当前学术界有关工业互联网平台赋能对制造企业服务化绩效的作用机理缺乏探讨。为了揭示工业互联网平台赋能对制造企业服务化绩效的影响机制,本文基于服务主导逻辑,构建从工业互联网平台赋能到价值共创,再到制造企业服务化绩效的逻辑框架,采用383份来自制造企业的调查数据,通过回归分析发现:工业互联网平台赋能显著提高了制造企业服务化绩效,价值共创的两个维度即互动合作、资源整合,在工业互联网平台赋能对制造企业服务化绩效的正向影响中,发挥了部分中介作用。本文为推动工业互联网平台建设与提高制造企业服务化绩效提供了重要启示。

“数制”融合对制造业创新韧性的影响

“数制”融合凭借数字要素嵌入改变了传统创新范式,为提升产业创新韧性并实现创新发展提供了新思路。本文基于系统韧性视角,利用我国2017—2022年制造业时序数据,采用熵权法、PCA法、耦合协调模型和多元回归模型,探讨了“数制”融合对创新韧性的影响机制、作用和情境条件。研究发现:“数制”融合对创新韧性效能具有显著的驱动效应,而平台数据垄断与数据产权模糊均存在较强的负向调节作用;规制平台垄断和加强数据确权,是“数制”融合对创新韧性赋能作用的情境条件;经济发展程度对创新韧性有积极作用,但过度对外开放对创新韧性有消极作用。

基于工程化项目训练的智能制造工程专业实践课程体系构建

为实现理论课程体系与实践课程体系的有机融合,避免形成“课程孤岛”,以实际工程开发新产品的设计与制造过程为流程,构建了智能制造工程专业“递进式、三级别”项目训练实践课程体系,形成了系统级、装备级、单元技术级分层次的实践教学体系。在此基础上,结合现有实训平台,运用现代虚拟仿真技术,构建了面向智能制造比赛和项目教学的虚实结合、多学科交叉融合的智能制造项目训练综合实践平台,以培养学生的综合性工程实践应用能力。研究成果可为进一步提升人才培养质量提供可行的思路与方法,也可为应用型本科院校人才培养提供参考。

经济发展新格局下建设生物制造产业科技创新平台的路径与对策——基于北欧两国经验的比较

为有效借鉴国外先进经验,在比较北欧国家瑞典和丹麦与中国生物制造产业发展异同点的基础上,系统分析两国围绕建设生物制造产业科创平台应对资源与环境可持续发展压力的创新举措。基于瑞典重点发展以生物质能为代表的森林生物技术中心、Testa中心和丹麦诺和诺德基金会建立生物可持续研究中心来发展生物制造产业技术的成功经验,提出加大政府引导力度、扩大资金投入、增强企业主体地位、探索创新运行管理模式、集聚国际优势团队打造成果转化长效机制等建设生物制造产业科创平台的路径与对策,以促进我国从生物制造大国向强国转变。

智能化背景下高职机械类专业人才培养模式研究

智能制造理念已深入各行各业,高职机械类专业人才培养也需要适应智能制造技术的发展。文章分析了智能制造背景下高职机械类专业人才培养过程中存在的问题,从明确专业人才培养目标,基于“产学研创”创建具备技术创新与教学科研能力的双栖型教师团队等方面对高职机械类专业人才培养模式进行了研究;提出通过整合多方资源,打造基于校企合作的机械类专业智能制造教学平台,创新教学方式,采取“一课两师”的教学方式提升高职机械类专业教学质量,最终形成智能化背景下的高职机械类专业创新型人才培养模式。

小微企业共享制造平台生态系统运行机制研究

基于云制造的小微企业共享制造平台构成平台生态系统,其核心要素包括平台运营企业、制造资源提供方企业、制造资源需求方企业和为小微企业提供服务的互补生态种群企业。共享制造平台集聚分散的制造资源,通过建立连接机制、产权机制、决策机制、信息机制、激励机制、约束机制、风险机制、信任合作机制、赋能机制、价值共创机制,吸引多边企业入驻,激发网络效应,促进平台生态系统协同发展,为小微企业提供全产业链、全生命周期的制造服务。

不完全信息下云制造平台动态匹配时域与稳定匹配研究

鉴于现有研究侧重于构建云制造平台供需匹配模型并开发求解算法,批处理匹配时域长度在不确定环境下对云制造平台运营的影响关注不足,针对云制造平台产能供需双方随机到达并可随时离开的复杂情景,建立了基于动态二部图的Markov决策模型,并提出基于状态和动作重塑技术的Q-learning动态时域匹配决策方法。该方法根据平台订单和共享产能的聚合信息,自适应地决策匹配时域长度,并产生考虑了供需双方偏好的稳定匹配方案。数值实验表明,在多种情景和问题参数下,该方法的综合平台运营指标优于常用的随机事件触发和固定匹配时域方法。实验结果为云制造平台供需匹配运营提供了管理启示。

基于人工智能的工业机器人专业群实践教学生态建构

针对工业机器人专业群实践教学存在的问题,探索运用“元宇宙+”实践创新平台、“云平台+”实训管理系统、“AIGC+”教学辅助三种数字化技术,构建工业机器人专业群实践教学生态,以提升工业机器人专业群的人才培养质量,促进人才培养适应产业发展需求。

共享制造平台生态系统数字化赋能小微企业的路径

本文采用多案例研究法分析工业互联网平台发展过程中的行为事件,探索共享制造平台生态系统数字化赋能小微企业的内容与路径。研究结果表明,共享制造平台聚集先进制造资源提供企业、小微制造企业和价值互补企业,构建共享制造平台生态系统,通过集聚先进制造资源,利用数字化手段赋能小微企业建立数字化基础设施,为小微企业提供低成本的先进制造资源共享服务、智能生产服务、数字化运营服务和供应链金融服务,赋能小微企业创建个性化定制生产模式、网络协同制造模式、制造业服务化延伸模式和智能化生产模式,有效降低小微企业获取先进制造资源的成本与运营成本,提高小微企业的生产效率和产品质量,促进平台生态系统内企业之间的协同创新,提高小微企业的数字制造能力和市场竞争力。

基于工业机器人“1+X”证书的实验平台建设及运行

分析了工业机器人“1+X”证书制度的现状,并根据工信部的发展规划中“工业机器人操作与运维”“工业机器人应用编程”职业技能等级标准,研究开发了工业机器人综合性实验平台,培养了合格的师资,为社会服务和教学考证提供了软硬件平台,为校企合作互惠共赢提供了良好的机制,提升了教学质量,提高了学校培训服务的能力。

轨道交通装备制造业产业链韧性及其形成机制

以轨道交通装备制造业为研究对象,基于价值链视角解析产业链韧性内涵、维度,并进一步探究其形成机制。研究发现:产业链韧性是一个产业长期积累形成的,在技术、生产和市场等方面具备的抵抗冲击并及时恢复和更新的能力;解构产业链韧性,提炼出技术韧性、生产韧性、市场韧性3个维度;阐释产业链韧性形成机制,即政策、人才、资金、数字四要素独立赋能或者在平台机制下协同赋能产业基础能力,进而促进产业链韧性形成。最后,基于向内溯源的思路揭示产业链韧性形成的根本底层逻辑,为深化基于中国产业情境的相关理论提供参考。

基于AR技术的智能制造科普教育互动平台的研发与应用

以天津中德应用技术大学机械工程学院与GF集团校企共建航空航天材料加工工艺技术中心双创平台智能制造生产线为依托,设计研发一款基于增强现实(Augmented Reality,AR)技术的智能制造科普教育互动平台。该AR平台使用Creo软件完成三维模型和交互设计,基于Vuforia平台的研发与制作,实现智能制造科普教育互动体验,提高体验者在智能制造领域的创新能力和应用能力,推动AR技术与科普教育融合,促进科普教育创新发展。