Knowable Building Framework

Open Data Manchester working with Sensorstream Ltd and Things Manchester is developing a platform for gathering, analysing and sharing insight from sensors within buildings.

The Knowable Building Framework is an Internet of Things framework for monitoring the performance of older commercial buildings in a non-invasive way using discrete low power sensors, and if appropriate publishing this data as open data. Unlike modern stock, older buildings often fall behind as far as the utilisation of new technology is concerned. Many landlords undertake a certain amount of retrofitting such as zonal heating or movement detection systems but these tend to be ad hoc and unconnected, with no ability to monitor how effectively these systems are working either singly or together. The internet of things and the analysis of data derived from sensors can give landlords, building management and tenants insight into the performance of buildings, enabling adaptations that can be economically and environmentally beneficial, whilst also creating opportunities for behaviour change within those buildings.

The initiative will harness the connectivity of the public Things Network, that covers a large proportion of Greater Manchester and across the North, and will allow the project team to design and connect sensors and analytics platforms seamlessly to the internet. The power of the project will come from the ability to share an appropriate amount of  data across portfolios of buildings and also to the wider community as open data, enabling insight to be gathered across the city. This will have the further benefit of not only measuring building performance but connecting other sensor data as as well.

It is a collaboration with the City of Rennes in Brittany, seen as a centre of excellence regarding the development of Low Power Wide Area Networks and open data, and is funded through the Open Data Institute.

We will be running a workshops in Rennes and Manchester with building owners and technologists in January and February, to understand how better to design and implement the framework. If you would like to be involved, email us at hello [a] opendatamanchester.org.uk

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