检验检测的数字化升级路径与多模态数据融合——如何实现高效数据管理与结果分析的智能化转型
Journal: Project Engineering DOI: 10.12238/pe.v3i2.12484
Abstract
本文探讨了检验检测行业的数字化升级路径,分析数据采集、存储、分析等核心技术,以及多模态数据融合在智能化转型中的作用。借助物联网、云计算和数据可视化,检测机构能提升数据管理和分析能力,提高检测精度与效率。文章介绍了图像、文本、传感器数据的整合方法,并分析其在质量控制、报告自动化和智能决策中的应用。同时,研究指出数字化升级面临的数据孤岛、系统兼容性、法规适应性及人才培养等挑战,并提出相应对策。最后,总结最佳实践并展望未来行业发展趋势。
Keywords
检验检测；数字化升级；多模态数据融合；物联网(IoT)；云计算；数据分析；质量控制；智能决策
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