| 张伦武,周堃,谭甜甜,王竟成,舒畅,周俊炎,李旭,谢婧.装备自然环境试验数据工程建设方法与实践[J].装备环境工程,2025,22(1):186-195. ZHANG Lunwu,ZHOU Kun,TAN Tiantian,WANG Jingcheng,SHU Chang,ZHOU Junyan,LI Xu,XIE Jing.Methods and Practices for Constructing Equipment Natural Environment Test Data Engineering[J].Equipment Environmental Engineering,2025,22(1):186-195. |
| 装备自然环境试验数据工程建设方法与实践 |
| Methods and Practices for Constructing Equipment Natural Environment Test Data Engineering |
| 投稿时间：2024-07-23 修订日期：2024-08-29 |
| DOI：10.7643/issn.1672-9242.2025.01.019 |
| 中文关键词: 数据工程 自然环境试验站网 环境适应性 数据治理 共建共享 数字化转型中图分类号:TJ01 文献标志码:A 文章编号:1672-9242(2025)01-0186-10 |
| 英文关键词:data engineering natural environment test station network environmental adaptability data governance co-construction and sharing digital transformation |
| 基金项目: |
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| Author | Institution |
| ZHANG Lunwu | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| ZHOU Kun | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| TAN Tiantian | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| WANG Jingcheng | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| SHU Chang | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| ZHOU Junyan | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| LI Xu | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
| XIE Jing | Southwest Institute of Technology and Engineering, Chongqing 401329, China |
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| 中文摘要: |
| 简要介绍了装备自然环境试验数据的内涵及其重要性，分析了国外自然环境试验站网、数据资源深层次开发利用、数据共享服务等建设现状。重点从基础设施与服务保障能力、数据治理管控模式等方面，概述了国内装备自然环境试验数据工程建设现状与成效，提出了要进一步激活要素价值潜能、创新数据共建共享服务模式、创新数据服务体制机制、加快推进产业数字化等建议。 |
| 英文摘要: |
| In this work, the connotation and importance of equipment natural environment test data were briefly introduced, the current construction status of foreign natural environment testing station networks, deep development and utilization of data resources, and data sharing services were analyzed. The work focuses on the current construction status and achievements of domestic equipment natural environment data engineering from aspects such as infrastructure and service assurance capability, and data governance models. Finally, further recommendations to activate the value potential of elements, innovate in data co-construction and sharing service models, innovate in data service systems and mechanisms, and accelerate industrial digitalization were proposed. |
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