Robust monitoring and vibration mitigation for easel paintings

架上绘画的稳健监控和减振

• 批准号: 2696413
• 金额: --
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2696413
• 关键词: Robust; monitoring; vibration; mitigation; easel

Robust monitoring and vibration mitigation for easel paintings The impact of exposure of canvas easel paintings to vibration is cumulative and changes may not be visible until the point of catastrophic failure is reached. It is of increasing concern as heritage institutions seek to use their collections in new ways to engage audiences and raise income, yet curators and conservators have little reliable research from which to determine safe limits. Real-time monitoring systems fixed to a building structure are often used, which trigger alerts if vibration breaches a threshold level, but choice of the threshold is generally not linked to the objects being exposed. This project will address these limitations by combining engineering methods with expertise from conservation and curatorial practice to develop an alternative approach. This requires development of a computer model to predict the dynamic response of individual paintings to a vibration input that takes into account how the paintings are hung and the painting-wall interaction, together with a mathematical process to infer the vibration experienced at every point on a wall using a limited number of physical sensors and a 'virtual sensor' network. The aim is to create from this a practical real-time monitoring and alert system based on the response of individual paintings themselves. The framework can also help develop mitigation strategies for individual paintings. Although every painting is unique, walls vary etc, the approach developed with NG will accommodate such variability to ensure wide applicability: the underlying programs will be shared allowing other heritage institutions to build their own systems

画架画的稳健监测和减振帆布架画对振动的影响是累积的，在达到灾难性故障点之前可能看不到变化。随着遗产机构寻求以新的方式利用他们的藏品来吸引观众并增加收入，这一问题越来越引起人们的关注，但策展人和文物保护人员几乎没有可靠的研究来确定安全界限。固定在建筑结构上的实时监测系统经常被使用，如果振动超过阈值水平就会触发警报，但阈值的选择通常与暴露的对象无关。该项目将通过将工程方法与保护和策展实践的专业知识相结合来解决这些限制，以开发一种替代方法。这需要开发一种计算机模型来预测个别画作对振动输入的动态反应，该模型考虑到绘画是如何悬挂的，以及绘画与墙壁的相互作用，并需要一个数学过程来推断使用有限数量的物理传感器和“虚拟传感器”网络在墙上的每一点所经历的振动。其目的是在此基础上创建一个实用的实时监控和警报系统，基于个别画作本身的反应。该框架还可以帮助制定针对个别绘画的缓解策略。尽管每幅画都是独一无二的，墙壁各不相同，但NG开发的方法将适应这种可变性，以确保广泛的适用性：底层程序将被共享，允许其他遗产机构建立自己的系统