Smart Metrology is the subject of a work we wrote and published with the Association Française de Normalisation (AFNOR, French Standardization Association) in 2016 [1]. In this new work, we offer a very different vision of the role of metrology in industry from the traditional view, which tends to focus on the management of a stock of measuring instruments. The emergence of Big Data and Artificial Intelligence algorithms has caused us to rethink the role of the metrologist: while the job of auditors has more or less been to stick approval labels on instruments. Big Data, by definition, requires reliable data to produce meaningful results. This article sets out to explain why the metrology we are familiar with has been acceptable until now, and why it has become so important to change our approach so as to concentrate on improving performance and managing resources more efficiently. This article is the translation of the article “Pourquoi la Smart Metrology n'est plus une option” that has been published, in French, in the blog www.smart-metrology.com [2].

中文翻译：

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为什么智能计量不再是可选的


智能计量是我们于 2016 年与法国标准化协会 (AFNOR，法国标准化协会) 共同撰写并出版的一部著作的主题 [1]。在这项新工作中，我们对计量在工业中的作用提出了与传统观点截然不同的观点，传统观点往往侧重于测量仪器库存的管理。大数据和人工智能算法的出现让我们重新思考计量学家的角色：而审核员的工作或多或少是在仪器上贴上批准标签。根据定义，大数据需要可靠的数据才能产生有意义的结果。本文旨在解释为什么我们所熟悉的计量方法迄今为止一直可以接受，以及为什么改变我们的方法以专注于提高性能和更有效地管理资源变得如此重要。本文是《Pourquoi la Smart Metrology n'est plus une option》文章的翻译，该文章已在博客 www.smart-metrology.com 上以法语发表 [2]。