Technician Training for Industry 4.0 Technologies

工业 4.0 技术技术人员培训

基本信息

项目摘要

Manufacturing is in the midst of change as Industry 4.0 advanced manufacturing technologies are being implemented to bring manufacturers into the digital age. These new technologies include recent advances in automation, computing, and communications. Manufacturers need skilled technicians and advanced operators to build, implement, troubleshoot, maintain, and modify manufacturing systems that use these technologies. Students will learn Industry 4.0 competencies that are based on local industry workforce needs. This project will focus on agriculture, food and beverage processing, and oil and gas manufacturing sectors. Texas A&M University will collaborate with Clovis Community College and Lone Star College on the development and evaluation of new curricula that will provide instruction and hands-on learning experiences for students on Industry 4.0 concepts. Students will have the opportunity to earn a certificate in industrial automation. The project will provide professional development workshops to train community college faculty and high school teachers on Industry 4.0 technologies. Working with local high schools, the project team will create dual enrollment courses for high school students that can be taken at the community college campuses, at the high school, or online.The goal of this project is to help students learn the necessary skills to be successful in the manufacturing technician workforce. This project will: (1) prepare new graduates for local industry workforce needs by creating course content for Industry 4.0 concepts; (2) enrich skill sets of incumbent workers through certificate programs; (3) create a pipeline for incoming students by working with school districts and offering workshops for secondary school teachers; and (4) host professional development workshops to disseminate project results to instructors at community colleges. Subject matter experts will provide feedback to the project team about the technical accuracy and relevance of the instructional materials. To make hands-on learning experiences more accessible to learners with limited instructional resources, online access to automated systems and virtual/remote learning environments will be developed and pilot tested. The impact of the courses and the online learning environment on student learning will be evaluated using student surveys and learning assessments. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
随着工业4.0先进制造技术的实施,制造业正在发生变化,将制造商带入数字时代。这些新技术包括自动化、计算和通信方面的最新进展。制造商需要熟练的技术人员和高级操作员来构建、实施、故障排除、维护和修改使用这些技术的制造系统。学生将学习基于当地行业劳动力需求的行业4.0能力。该项目将重点放在农业、食品饮料加工和石油天然气制造行业。德克萨斯农工大学将与克洛维斯社区学院和孤星学院合作开发和评估新课程,为学生提供工业4.0概念的指导和实践学习体验。学生将有机会获得工业自动化证书。该项目将提供专业发展研讨会,培训社区大学教师和高中教师有关工业4.0技术的知识。该项目团队将与当地高中合作,为高中生创建双重招生课程,这些课程可以在社区大学校园、高中或在线学习。该项目的目标是帮助学生学习在制造技术员大军中取得成功所需的技能。该项目将:(1)通过为工业4.0概念创建课程内容,使应届毕业生为本地行业劳动力需求做好准备;(2)通过证书计划丰富现有工人的技能;(3)通过与学区合作并为中学教师提供工作坊,为新生创建渠道;以及(4)举办专业发展研讨会,向社区大学的教师传播项目成果。专题专家将就教学材料的技术准确性和相关性向项目组提供反馈。为了使教学资源有限的学习者更容易获得实践学习体验,将开发在线访问自动化系统和虚拟/远程学习环境,并进行试点测试。课程和在线学习环境对学生学习的影响将通过学生调查和学习评估进行评估。该项目由高级技术教育计划资助,该计划专注于为推动国家经济的先进技术领域培养技术人员。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Sheng-Jen Hsieh其他文献

Solving the Inverse Heat Conduction Problem in Using Long Square Pulse Thermography to Estimate Coating Thickness by Using SVR Models Based on Restored Pseudo Heat Flux (RPHF) In-Plane Profile
  • DOI:
    10.1007/s10921-018-0535-8
  • 发表时间:
    2018-10-15
  • 期刊:
  • 影响因子:
    2.400
  • 作者:
    Hongjin Wang;Sheng-Jen Hsieh
  • 通讯作者:
    Sheng-Jen Hsieh
A hybrid method using FABRIK and custom ANN in solving inverse kinematic for generic serial robot manipulator
Review of additive manufacturing methods for high-performance ceramic materials
Algorithm and intelligent tutoring system design for programmable controller programming

Sheng-Jen Hsieh的其他文献

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{{ truncateString('Sheng-Jen Hsieh', 18)}}的其他基金

HSI Implementation and Evaluation Project: Undergraduate Research Experiences in Machine Learning for First Generation Students
HSI 实施和评估项目:第一代学生的机器学习本科研究经验
  • 批准号:
    2345361
  • 财政年份:
    2024
  • 资助金额:
    $ 65万
  • 项目类别:
    Continuing Grant
RET Site: Machine Learning and Smart System Design
RET 网站:机器学习和智能系统设计
  • 批准号:
    2206953
  • 财政年份:
    2022
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant
Just-in-Time, Online, Intelligent Tutoring for Automated System Integration: Developing a Problem-Solving Environment that Enhances Student Learning
自动化系统集成的即时、在线、智能辅导:开发一个增强学生学习的解决问题的环境
  • 批准号:
    2044449
  • 财政年份:
    2021
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant
FW-HTF-P: Design of Tools and Technologies for Industry 4.0 Manufacturing Work
FW-HTF-P:工业 4.0 制造工作的工具和技术设计
  • 批准号:
    2026615
  • 财政年份:
    2020
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant
RET in Engineering and Computer Science Site: Research Experiences in Mechatronics, Robotics, and Industrial Automation
工程和计算机科学领域的 RET 网站:机电一体化、机器人技术和工业自动化领域的研究经验
  • 批准号:
    1300779
  • 财政年份:
    2013
  • 资助金额:
    $ 65万
  • 项目类别:
    Continuing Grant
Understanding, Supporting, and Creating Curriculum Pathways for Industrial Automation Careers
了解、支持和创建工业自动化职业的课程路径
  • 批准号:
    1304843
  • 财政年份:
    2013
  • 资助金额:
    $ 65万
  • 项目类别:
    Continuing Grant
REU Site: Interdisciplinary Research Experiences in Mechatronics, Robotics, and Automated System Design
REU 网站:机电一体化、机器人技术和自动化系统设计的跨学科研究经验
  • 批准号:
    1263293
  • 财政年份:
    2013
  • 资助金额:
    $ 65万
  • 项目类别:
    Continuing Grant
Portable Kit for Experiential Learning in Programmable Logic Controller Education (PortablePLC)
用于可编程逻辑控制器教育体验式学习的便携式套件 (PortablePLC)
  • 批准号:
    1246072
  • 财政年份:
    2013
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant
Collaborative Research: Collaborative Learning Environment for Automated Manufacturing System Integration (CLE-ASI)
协作研究:自动化制造系统集成的协作学习环境(CLE-ASI)
  • 批准号:
    0935211
  • 财政年份:
    2009
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant
REU Site for Interdisciplinary Research on Imaging and Biomarkers
REU 影像和生物标志物跨学科研究网站
  • 批准号:
    0851666
  • 财政年份:
    2009
  • 资助金额:
    $ 65万
  • 项目类别:
    Standard Grant

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