IoT and BIM Interoperability: Digital Twins in Museum Collections

According to the 2017 International Council of Museums (ICOM) guidelines, data on museum collections must be stored in a secure environment, supported by backup systems that allow access by all legitimate users, complete and unique identification, and description (associations, provenance, condition, treatment and current location) of each object are required. Concerning these indications, it is therefore, a priority to establish precise protocols for the preventive conservation and analysis of data concerning not only the identity of the asset or the information collected during its study, but also how it is preserved. This paper proposes a digital framework for the management of museum structures and collections, integrating Building Information Modelling (BIM) methodologies for the preservation and visualization of data with Internet of Things (IoT) methodologies for its collection and analysis

Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenance

The Internet of Things promises a connected environment reacting to and addressing our every need, but based on the assumption that all of our movements and words can be recorded and analysed to achieve this end. Ubiquitous surveillance is also a precondition for most dystopian societies, both real and fictional. How our personal data is processed and consumed in an ever more connected world must imperatively be made transparent, and more effective technical solutions than those currently on offer, to manage personal data must urgently be investigated.Comment: 3 pages, 0 figures, preprint for Communication of the AC

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

It is a known fact that large quantities of farm and meat products rot and are wasted if correct actions are not taken, which may lead to serious health issues if consumed. There is no proper system for tracking and communicating the status of the goods to their respective stakeholders in a secure way. Consumers have every right to know the quality of the products they consume. Using monitoring tools, such as the Internet of Agricultural Things (IoAT), and modern data protection techniques for storing and sharing, will help mitigate data integrity issues during the transmission of sensor records, increasing the data quality. The visibility state at the customer end is also improved, and they are aware of the agricultural product’s conditions throughout the real-time distribution process. In this paper, we developed and implemented a CorDapp application to manage the data for the supply chain, called “agroString”. We collected the temperature and humidity data using IoAT-Edge devices and various datasets from multiple sources. We then sent those readings to the CorDapp agroString and successfully shared them among the relevant parties. With the help of a Corda private blockchain, we attempted to increase data integrity, trust, visibility, provenance, and quality at each logistic step, while decreasing blockchain and central system limitations