Practical Analysis of Mechanical Automation Technology in Automobile Manufacturing

In today’s rapidly developing modern society,automobiles,as an important part of transportation and industrial fields,play a pivotal role.With the improvement of people’s living standards and the increase in traffic demand,the automobile manufacturing industry has been continuously developing and growing globally.However,to cope with increasingly fierce market competition and ever-changing consumer demands,the automobile manufacturing industry is also facing the challenges of improving production efficiency,reducing costs,and improving product quality.In this context,automation technology has gradually become a major trend in the automobile manufacturing industry.As an important support of modern industry,automation technology has shown great application potential in many fields.From industrial production to daily life,automation technology can be seen everywhere.In the field of manufacturing,especially in automobile manufacturing,the application of automation technology is getting more and more attention.Automated production lines,intelligent robots,and automated warehousing systems have all changed the face of automobile manufacturing to varying degrees,bringing companies higher efficiency,more stable quality,and greater competitive advantages.The application trend of this automation technology in various fields not only meets the needs of modern industry for efficient,precise,and sustainable development but also provides new ideas and paths for the future development of the automobile manufacturing industry.

Study on the Collaboration between Advanced Manufacturing Technology and Production Process

The advanced manufacturing technology of mechanical products features interaction, and high simulation, etc. In this paper, a digital geometry model for the processing is established with the aid of computer technology, so that the needs of machinery manufacturing production and precision machining can be fulfilled, and also the simulation, validation, comparison, and optimization of many plans can be implemented for ultimately finding out an optimal processing method and realizing the benefit of low cost and high quality. From two different levels of activity and parts, the configuration principle of mechanical products＇ advanced manufacturing technology is defined. Therefore, the advanced manufacturing technology for customizing different products can be derived, and also the reuse of different types of parts is realized. Finally, this is verified with an example.

Human Cyber Physical Systems(HCPSs)in the Context of New-Generation Intelligent Manufacturing

An intelligent manufacturing system is a composite intelligent system comprising humans,cyber systems,and physical systems with the aim of achieving specific manufacturing goals at an optimized level.This kind of intelligent system is called a human-cyber-physical system(HCPS).In terms of technology,HCPSs can both reveal technological principles and form the technological architecture for intelligent manufacturing.It can be concluded that the essence of intelligent manufacturing is to design,construct,and apply HCPSs in various cases and at different levels.With advances in information technology,intelligent manufacturing has passed through the stages of digital manufacturing and digital-networked manufacturing,and is evolving toward new-generation intelligent manufacturing(NGIM).NGIM is characterized by the in-depth integration of new-generation artificial intelligence(AI)technology(i.e.,enabling technology)with advanced manufacturing technology(i.e.,root technology);it is the core driving force of the new industrial revolution.In this study,the evolutionary footprint of intelligent manufacturing is reviewed from the perspective of HCPSs,and the implications,characteristics,technical frame,and key technologies of HCPSs for NGIM are then discussed in depth.Finally,an outlook of the major challenges of HCPSs for NGIM is proposed.

Modeling of Agile Intelligent Manufacturing-oriented Production Scheduling System

Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.

Event-driven Dynamic and Intelligent Scheduling for Agile Manufacturing Based on Immune Mechanism and Expert System

Based on the biological immune concept, immune response mechanism and expert system, a dynamic and intelligent scheduling model toward the disturbance of the production such as machine fault,task insert and cancel etc. Is proposed. The antibody generation method based on the sequence constraints and the coding rule of antibody for the machining procedure is also presented. Using the heuristic antibody generation method based on the physiology immune mechanism, the validity of the scheduling optimization is improved, and based on the immune and expert system under the event-driven constraints, not only Job-shop scheduling problem with multi-objective can be solved, but also the disturbance of the production be handled rapidly. A case of the job-shop scheduling is studied and dynamic optimal solutions with multi-objective function for agile manufacturing are obtained in this paper. And the event-driven dynamic rescheduling result is compared with right-shift rescheduling and total rescheduling.

新质生产力的演化:维度、结构及路径

新质生产力体现为全方位、系统性、持续性的变革过程,其不仅能优化经济基础的应用场景和能力层级,而且能推进产业协同升级和整体跃迁,其发展进程呈现动态性和加速性,可对已有高质量发展范式、路径进行破坏性创新、爆发性升级、动态性更迭。新质生产力是“制度型生产力→干预型生产力→跨越式生产力→信息化生产力→新质生产力”和“结构型生产力→市场型生产力→可持续生产力→信息化生产力→新质生产力”的有机统一。新质生产力是对信息化生产力的继承和发展,是一种更为先进的生产力形态,具有更新颖的数智技术革命背景、更复杂的内在运作机理、更前瞻性的经济系统以及更深邃的演化路径,也更能代表生产力的最新发展趋势。

应用人工智能优化制造业人力资源结构的对策建议

人工智能相关技术、智能化设备和服务在高技术制造业中的广泛应用,对制造业劳动力素质提出了更高要求。为深入探讨人工智能在高技术制造业中的应用对制造业就业结构的影响,分析保持制造业劳动力资源优势所面临的挑战,开展文献分析和实地调研,认为在智能化时代下,部分就业岗位产生机器替代效应,新技能的岗位需求和用工缺口形成,劳动力市场供给进入负增长常态化阶段,同时多种产业新业态的灵活就业渠道分流了部分高素质劳动力。着眼于人工智能技术发展和应用对制造业(尤其是高技术制造业)及其从业人员的影响,基于对国内3家机构的调研与2018—2020年我国30个省份的面板数据,采用模糊集定性比较分析方法实证分析发现,产业智能化水平、劳动力受教育程度和专利投入规模是影响制造业就业结构变化的3个关键因素。为此,从提高制造业人力资源优势的视角,提出强化统筹规划、推广新兴技术、加快人才培养等多措并举,促进我国制造业就业结构优化,保持制造业人力资源优势的政策建议。

基于大数据技术的服装智能制造创新模式

为进一步提高服装行业的智能化水平,在对目前服装行业面临的智能制造建设任务分析的基础上,探讨大数据技术在数字经济时代助力服装行业转型升级实现智能化过程中所发挥的关键作用。通过梳理大数据技术在服装流行趋势智能预测、数字化设计、智慧工厂生产、个性化营销4个方面的现有研究,提出由大数据技术驱动的服装智能制造创新模式,探讨从预测、设计、生产到销售整个闭环的智能化制造流程,以及基于大数据技术的服装智能制造发展趋势。

人工智能影响我国全要素生产率的机制与效应研究

人工智能作为引领新一轮科技革命与产业变革的战略性技术,具有溢出带动性很强的“头雁”效应,有利于提升全要素生产率。本文分别基于宏观省级层面和微观企业层面的数据,利用企业机器人数据和智能制造试点示范项目的准自然实验,采用交叠DID和双重机器学习等方法实证识别了人工智能对全要素生产率的作用效应。研究结果表明,人工智能发展应用在宏观和微观两个维度均较为显著地促进了我国全要素生产率的提升。在宏观层面,人工智能对东部沿海地区全要素生产率的作用效应强于对中西部地区的影响;对高市场竞争环境下的全要素生产率作用效应更明显。在微观层面,人工智能对低技术企业全要素生产率的影响强于对高技术企业的影响,对规模较大企业的影响强于对规模较小企业的影响。人工智能提升全要素生产率的机制包括提高要素配置效率、降低企业成本和增强企业研发能力。本文研究结论对于进一步深化人工智能与实体经济融合,提升全要素生产率,实现经济高质量发展具有明确意义。

以功效物质为质量目标的中药生产过程质量控制研究与实践

中药生产过程质量控制是影响中药产品质量的关键,但中药成分的多样性和生产过程的复杂性给过程质量的精准控制带来巨大挑战。首先提出了以功效物质为核心的中药智能化控制理念,系统阐释了中药质量的科学内涵,为中药复杂成分体系“控什么”“怎么控”提供了理论依据。同时,通过先进信息化、数字化和智能化技术,对中药生产过程开展了智改数转的研究和建设实践。最终建立了以功效物质为质量目标的中药生产过程质量控制体系,为解决过程质量控制难题提供了契机。

机械设计与低温锂电池全流程数字化智能制造的联系及应用

随着现代制造技术、信息技术和数字化技术的飞速发展,低温锂电池生产迎来了技术升级。对此本文综述了机械设计与低温锂电池数字化智能制造的联系以及技术优化进展。首先分析了低温锂电池产业数字化、智能化的发展流程,包括低温锂电池数字化制造和二阶段的智能化制造;然后重点探讨了机械设计为低温锂电池数字化智能制造产业带来的优化变革。从产业发展角度来看,与机械设计技术深度融合,可以从多个方面优化现有的低温锂电池数字化智能制造技术,对后者的产业结构调整和技术升级具有重要的指导作用。

工程教育认证背景下“机械制造技术基础”课程思政教学实践

为发挥好专业课教学在大学教学中的育人作用,以工程教育认证理念为指导,根据“机械制造技术基础”课程的教学内容和课程特点,挖掘相关思政元素,确立了课程思政建设总体方案。采用“以学生为中心”的项目、案例和混合式教学法,在课程教学中进行了课程思政教学实践。从课程质量分析来看,课程思政的引入有利于课程教学目标的达成和学生政治素质、职业素养的提高。

浙江新材料科创高地支撑全球先进制造业基地建设的动力机制与实现路径

新材料是浙江省“315”科技创新体系三大科创高地之一,是支撑浙江建设全球先进制造业基地着重打造的4个世界级先进产业群之一。依据浙江省建设全球新材料先进制造业基地的目标与要求,构建由新材料科创高地为基本支撑,以“政、产、学、研、用”多元创新主体协同,以“制度、技术、人才、市场、资本”多要素协同为基本动力的新材料全球先进制造业基地建设动力机制模型,并据此提出加强新材料产业集群顶层设计、支持新材料产业研发创新、完善新材料产业集群价值网络、健全专精特新小巨人企业梯度培育机制的实现路径,为新形势下浙江新材料产业发展和新材料先进制造业基地建设提供借鉴。

基于虚拟仿真技术的服装智能制造应用研究

由于传统的服装制造不能很好地满足市场需求,因此对虚拟仿真技术在服装智能制造中的应用进行研究,实现服装企业转型升级,确保企业健康发展。服装虚拟设计包括仿真人体建模、虚拟服装建模、3D仿真优化和构建应用平台。采用非接触式测量获取人体三维数据,构建虚拟三维人体模型,同时将服装设计师的设计意图进行深层次挖掘,获得三维虚拟服装模型。通过纹理特征映射、碰撞检测、真实感增强和场景构建来优化服装设计过程,并将其应用于服装个性化设计与虚拟试穿中,对提升服装企业的智能制造水平和市场竞争力具有一定的参考价值。

新工科背景下智能制造工程专业教学探索与实践

为应对“中国制造2025”国家战略,顺应新工科背景下高等工程教育改革发展,国家提出建设智能制造新工科专业。智能制造工程专业在强数理基础上,基于机械学科主干知识体系,融入控制、计算机、人工智能等信息学科知识,探索“数字化+网络化+智能化”时代背景下,新技术特色的智能制造理论课程体系;同时,为有利于学生系统掌握交叉学科知识,实践教学体系通过打通专业交叉知识之间的边界,破除知识孤岛,以工程项目为导向构建实践教学内容,探讨适应智能制造工程专业人才培养的实践教学体系。智能制造工程专业教学探索与实践将促进新工科专业知识之间的交叉融合,逐步适应未来制造领域发展的新需要,有效提升高等教育机械工程专业复合型高端人才的培养质量。

工业互联网与智能制造背景下高职电子类课程的改革探析

电子产品生产工艺课程是高职应用电子技术专业核心课程,在工业互联网和智能制造大力发展的背景下,应用电子技术专业转型为工业互联网技术专业,对人才的需求提出了新的、更高的要求。通过分析工业互联网和智能制造领域职业岗位特点,进一步明确专业及课程培养目标,对课程内容进行重构和模块化处理,以多种形式开展课程教学改革,从而适应专业和行业发展需求。

基于数字孪生的智能制造企业产品定价决策

为实现智能制造企业服务化转型下客户对产品需求实现和交付时间的更高要求,考虑数字孪生的技术成本、需求实现能力和交付时间等因素,分别建立生产型智能制造企业和基于数字孪生的服务型智能制造企业的竞争性定价决策模型,对模型均衡解及仿真结果进行对比分析。研究发现:当虚实一致程度带来的效用增益高于数字孪生技术成本时,服务型智造企业才有动力投入数字孪生,但长远看技术成本的增长会被更高的服务效用所抵消;在虚实一致程度边界内外客户对需求实现能力的敏感系数变化对两类智造企业产品定价、需求和利润会产生不同影响;随着客户对产品交付时间的敏感程度增加,数字孪生缩短产品交付时间能够改善服务型智造企业因时间而导致的定价劣势。

数字孪生技术在智能制造人才实训体系中的应用研究

健全的智能制造人才实训体系是提高工科专业实践教学质量、培养智能制造领域高级工程人才的重要途径.将制造工程领域的数字孪生技术与当前教育领域的智能制造人才实训体系进行融合,能够显著提高人才培养效果.在对智能制造人才需求及人才实训体系现状分析的基础上,提出了基于数字孪生技术的智能制造人才实训体系建设理念,并尝试构建了包含平台训练、管理、师资等内容的智能制造人才实训体系.最后,以石家庄学院为例,发现该实训体系实施的育人效果显著.

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。

高分子材料智能制造技术专业新形态教材开发策略的研究与实践

职业教育“三教”改革正在往纵深推进,新形态教材是“三教”改革的物化成果。本文深入分析了新形态教材开发的意义,总结了新形态教材“三性一度”的内涵特征,并结合高分子材料智能制造技术专业教材开发实践提出了新形态教材“四融合”开发策略,为职业教育新形态教材开发提供思路与参考。