Preventive conservation (PC) has emerged as an important approach for the long-term preservation of sensitive cultural heritage (CH), notably for mobile artefacts, those displayed or stored in harsh environments and for small and medium-sized museums. SensMat aims to develop and implement effective, low cost (<20 – 30€ for basic platform), eco-innovative and user-friendly sensors, models and decision-making tools, as well as recommendations and guidelines to enable prediction and prevention of degradation of artefacts as a function of environmental conditions. SensMat is user-driven (inclusion of 19 museums in the project plus survey of 100 more), and the consortium has solid existing results and a strong capacity to mature the sensors, models and decision-making solutions to TRL 7 during the project. Based on multiscale modelling, data management systems, collaborative platforms and sensor communication networks (IoT), museums stakeholders will be informed in real-time of possible dangers to their artefacts, thus reducing degradation risks and costly conservation treatment. Demonstration of the platform in 10 representative case studies in museums, historical buildings, storage sites and workshops will prepare rapid uptake after the project. Knowledge transfer, training, and recommendations of best practices will facilitate standardization, strategy implementation, new policy definition, and wide-scale adoption of the new solution by cultural heritage sites immediately after the project.
Field of science
- /natural sciences/computer and information sciences/internet/internet of things
Call for proposal
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Funding SchemeIA - Innovation action
581 83 Linkoping