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基于动态灾害响应协同原型设计模型的煤矿井下瓦斯爆炸监测与预防

Monitoring and prevention of gas explosions in underground coal mines using a co-prototype design model for dynamic disaster response.

作者信息

Zhao Fei, Yan Wen-Jie

机构信息

School of Industrial Design, Hubei Institute of Fine Arts, Wuhan, 430205, China.

Fujian Key Laboratory of Novel Functional Textile Fibres and Materials, Minjiang University, Fuzhou, 350108, China.

出版信息

Sci Rep. 2025 May 14;15(1):16714. doi: 10.1038/s41598-025-99850-8.

DOI:10.1038/s41598-025-99850-8
PMID:40369220
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12078509/
Abstract

The design of gas explosion rescue equipment is crucial to ensure the safety of miners while also enhancing the emergency response capabilities of safety personnel in Chinese coal mines. This study was conducted in three phases. In the first phase, in-depth interviews with coal mine personnel were conducted in accordance with crowdsourced collaborative design theory, yielding 22 specific design requirements for gas explosion rescue equipment, based upon which prototype designs were developed in the second phase. In the third phase, a Kano model questionnaire was distributed to evaluate the effectiveness of the prototyped designs. The data collected from these questionnaires were analyzed using mixed-type analysis and the Better-Worse coefficient to prioritize the most important design requirements for the development of the Co-Prototype Design Model. The results indicate that the functionality of gas explosion rescue equipment is currently evolving toward a multi-source, heterogeneous, highly-networked system. Future rescue equipment design should place a greater emphasis on user needs and leverage crowdsourced collaborative design to drive innovation.

摘要

瓦斯爆炸救援设备的设计对于确保矿工安全至关重要,同时也能增强中国煤矿安全人员的应急响应能力。本研究分三个阶段进行。第一阶段,依据众包协同设计理论对煤矿人员进行深入访谈,得出瓦斯爆炸救援设备22项具体设计要求,并据此在第二阶段开发出原型设计。第三阶段,发放卡诺模型问卷以评估原型设计的有效性。运用混合型分析和优劣系数对这些问卷收集的数据进行分析,从而确定协同原型设计模型开发中最重要的设计要求的优先级。结果表明,瓦斯爆炸救援设备的功能目前正朝着多源、异构、高度网络化的系统发展。未来救援设备设计应更注重用户需求,并利用众包协同设计推动创新。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/19dd088dc051/41598_2025_99850_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/ac3fd064db5d/41598_2025_99850_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/9c155b9d9a66/41598_2025_99850_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/0cc87ccbb0c7/41598_2025_99850_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/e4b628c8d88d/41598_2025_99850_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/fa1fa50cf8d0/41598_2025_99850_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/19dd088dc051/41598_2025_99850_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/ac3fd064db5d/41598_2025_99850_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/9c155b9d9a66/41598_2025_99850_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/0cc87ccbb0c7/41598_2025_99850_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/e4b628c8d88d/41598_2025_99850_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/fa1fa50cf8d0/41598_2025_99850_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c17e/12078509/19dd088dc051/41598_2025_99850_Fig14_HTML.jpg

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