Ethical Industry 4.0: Embedding Legality, Integrity and Accountability in Digital Manufacturing Ecosystems

道德工业 4.0:将合法性、诚信和责任融入数字制造生态系统

基本信息

  • 批准号:
    2412678
  • 负责人:
  • 金额:
    $ 56.58万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-12-01 至 2027-01-31
  • 项目状态:
    未结题

项目摘要

This project is centered around the creation and validation of an innovative digital framework to foster an ethical manufacturing ecosystem where machine ethics, including legality, integrity, and accountability, is mandated throughout the product design-fabrication-service life cycle. In the era of Industry 4.0, manufacturing systems are enhanced with advanced technologies and interconnectivity. While this evolution significantly expands the functionalities and accessibility of manufacturing machinery, it also introduces unprecedented ethical challenges in manufacturing regulation, such as malicious use of customizable fabrication (e.g., counterfeit goods and 3D printed weapons). This project pioneers the exploration of ethical Industry 4.0 and anchors principles of legality, integrity, and accountability as fundamental components in the digital manufacturing ecosystem. Specifically, the team designs and implements a set of computational methods and digital tools to provide ethical assurances spanning each stage of the design-fabrication-service life cycle from design, to fabrication, to service. By leveraging existing research platforms and local manufacturing partners, the ethical framework can be integrated and validated within real-world manufacturing testbeds. This project has multi-dimensional educational and societal impacts. The project can necessitate the inclusion of ethics and regulation compliance promotion within Industry 4.0. Moreover, the project also contributes significantly to the education of the future manufacturing workforce, promotes public awareness of manufacturing ethics, and brings benefits to the US manufacturing sector and general society.This research project explores principles of ethics as new functional components and constructs a digital framework that tackles technical obstacles in ethical Industry 4.0, including intellectual property (IP) protection, data security and privacy, regulation, and compliance. The team investigates and develops an ethical cyber layer, incorporating a set of computational algorithms, architecture, and software, to enhance the legality, integrity, and accountability of the digital manufacturing system. The technical thrusts in this project are threefold: (1) an efficient and robust ethical design checking mechanism using nonlinear matching algorithms for complex 3D digital models imported to manufacturing machines to avoid IP theft and malicious design; (2) ethical fabrication monitoring tools for manufacturing machines via secure computation with high privacy needs, limited annotated samples, and diverse operation conditions; and (3) ethical product tracking to analyze product texture fingerprint and assist the forensics of source machine identification with illegal and non-integrity usage. The validated resources and tools, including advanced models, algorithms, software and test benches, and educational materials, will be publicly available.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.
该项目围绕创新数字框架的创建和验证,以促进一个道德制造生态系统,在该生态系统中,在整个产品设计制作服务范围内,都要求机器道德(包括合法性,完整性和问责制)在内。在工业4.0时代,高级技术和互连性增强了制造系统。尽管这种进化大大扩大了制造机械的功能和可及性,但它也引入了制造法规中前所未有的道德挑战,例如恶意使用可定制的制造(例如,伪造的商品和3D印刷武器)。该项目开创了对道德行业4.0的探索,并将合法性,完整性和问责制的原则作为数字制造生态系统中的基本组成部分。具体而言,团队设计并实施了一组计算方法和数字工具,以提供跨越设计 - 制造服务生命周期的每个阶段的道德保证,从设计,制造,再到服务。通过利用现有的研究平台和本地制造合作伙伴,可以将道德框架集成和验证,并在现实世界中的测试床内进行验证。该项目具有多维教育和社会影响。该项目可能需要在行业4.0范围内纳入道德和法规合规性促进。 Moreover, the project also contributes significantly to the education of the future manufacturing workforce, promotes public awareness of manufacturing ethics, and brings benefits to the US manufacturing sector and general society.This research project explores principles of ethics as new functional components and constructs a digital framework that tackles technical obstacles in ethical Industry 4.0, including intellectual property (IP) protection, data security and privacy, regulation, and compliance.该团队研究并开发了道德网络层,并结合了一组计算算法,体系结构和软件,以增强数字制造系统的合法性,完整性和问责制。该项目中的技术推力是三倍:(1)使用非线性匹配算法的复杂3D数字模型进口到制造机器,以避免IP盗窃和恶意设计的复杂3D数字模型; (2)通过高隐私需求,有限的带注释样本和多种操作条件的安全计算,用于制造机器的道德制造监控工具; (3)道德产品跟踪,以分析产品纹理指纹并通过非法和非综合用法来协助源机识别的取证。经过验证的资源和工具,包括高级模型,算法,软件和测试台以及教育材料。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛影响的评估评估的评估来获得支持的。

项目成果

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Hongyue Sun其他文献

Geometric Deep Learning for Shape Correspondence in Mass Customization
大规模定制中形状对应的几何深度学习
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jida Huang;Hongyue Sun;Tsz;Chi Zhou;Wenyao Xu
  • 通讯作者:
    Wenyao Xu
Oxidant stress-sensitive circRNA Mdc1 controls cardiomyocyte chromosome stability and cell cycle re-entry during heart regeneration.
氧化应激敏感的 circRNA Mdc1 在心脏再生过程中控制心肌细胞染色体稳定性和细胞周期重新进入。
  • DOI:
    10.1016/j.phrs.2022.106422
  • 发表时间:
    2022-09
  • 期刊:
  • 影响因子:
    9.3
  • 作者:
    Wenya Ma;Xiuxiu Wang;Hongyue Sun;Binbin Xu;Ruijie Song;Yanan Tian;Liang Zhao;Yan Xu;Yiming Zhao;Fan Yang;Hongyang Chen;Rui Gong;Yang Yu;Xingda Li;Shuainan Li;Wenwen Zhang;Tingting Zhang;Jingwen Ne;Benzhi Cai
  • 通讯作者:
    Benzhi Cai
Investigation and monitoring on a rainfall-induced deep-seated landslide
一次降雨诱发的深部滑坡调查与监测
  • DOI:
    10.1007/s12517-015-2206-8
  • 发表时间:
    2016-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yuequan Shang;Yu Zhao;Qing Lü;Hongyue Sun
  • 通讯作者:
    Hongyue Sun
Functional ANOVA for Upper Extremity Fatigue Analysis during Dynamic Order Picking.
动态订单拣选过程中上肢疲劳分析的功能方差分析。
A novel approach for displacement interval forecasting of landslides with step-like displacement pattern
阶梯位移模式滑坡位移区间预测的新方法

Hongyue Sun的其他文献

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{{ truncateString('Hongyue Sun', 18)}}的其他基金

Ethical Industry 4.0: Embedding Legality, Integrity and Accountability in Digital Manufacturing Ecosystems
道德工业 4.0:将合法性、诚信和责任融入数字制造生态系统
  • 批准号:
    2332293
  • 财政年份:
    2023
  • 资助金额:
    $ 56.58万
  • 项目类别:
    Standard Grant
FMRG: Cyber: Cyber-Coordinated Analytical Framework for Multi-stage Distributed Future Manufacturing Systems
FMRG:网络:多阶段分布式未来制造系统的网络协调分析框架
  • 批准号:
    2412020
  • 财政年份:
    2023
  • 资助金额:
    $ 56.58万
  • 项目类别:
    Standard Grant
FMRG: Cyber: Cyber-Coordinated Analytical Framework for Multi-stage Distributed Future Manufacturing Systems
FMRG:网络:多阶段分布式未来制造系统的网络协调分析框架
  • 批准号:
    2134409
  • 财政年份:
    2021
  • 资助金额:
    $ 56.58万
  • 项目类别:
    Standard Grant
Electronic Holography for Biomedical Applications Using a Coherent Source
使用相干源的生物医学应用电子全息术
  • 批准号:
    G0601733/1
  • 财政年份:
    2007
  • 资助金额:
    $ 56.58万
  • 项目类别:
    Research Grant

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相似海外基金

Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications
合作研究:IRES Track I:用于远程工业 4.0 应用的无线联合雾计算
  • 批准号:
    2417064
  • 财政年份:
    2024
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    $ 56.58万
  • 项目类别:
    Standard Grant
RoFab-4iDM: Robotic Fabrication of Tunnel Services using Industry 4.0 for Intelligent Distributed Manufacturing
RoFab-4iDM:利用工业 4.0 实现智能分布式制造的隧道服务机器人制造
  • 批准号:
    10080713
  • 财政年份:
    2023
  • 资助金额:
    $ 56.58万
  • 项目类别:
    Collaborative R&D
Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications
合作研究:IRES Track I:用于远程工业 4.0 应用的无线联合雾计算
  • 批准号:
    2246390
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Preparing Manufacturing Technicians for the Challenges of Industry 4.0
让制造技术人员做好应对工业 4.0 挑战的准备
  • 批准号:
    2300650
  • 财政年份:
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Preparing Advanced Manufacturing Technicians for Industry 4.0 in Rural Western Kentucky
为肯塔基州西部农村地区的工业 4.0 培养先进制造技术人员
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