Building consent

En français

The Knowable Building Framework sets out to create a consent framework for sharing building performance data from a network of sensors installed within a Victorian office building in the centre of Manchester.

The development of low-cost connected sensors coupled with the advent of low power wide area networks (LPWAN) specifically Long Range Wide Area Networks (LoRaWAN) creates the ability to monitor remote and hard to reach assets that would otherwise be too difficult or too expensive to operate and maintain.

Within the domain of building management the opportunity to retrofit passive sensors into older buildings offers the ability to understand how buildings operate over time. Giving building managers the ability to implement control measures and promote behavioural change of the buildings users – saving money and reducing environmental impact. The sensors that the Knowable Building Framework are installing measure temperature, humidity, movement and light with building managers abe to analyse the output from the sensors using an online dashboard.

Although the application of sensors in buildings may not be particularly novel, the sharing of data to allow a better understanding of building usage either within organisations or at a city level offers the potential of creating a more holistic picture of energy usage.

The idea of sharing data even if it is not shared as open data can seem daunting to many organisations and the development of a consent framework seeks to help data owners understand the data that they hold, both technically and contextually. It identifies perceived and real risk and suggests possible mitigations. Through enhancing understanding the framework hopes to make it easier for data owners to consent to data release. With some analysts predicting over 50 billion connected devices by 2020 the prospect of a confusing mess of siloed and conflicting data sources adhering to dubious technical standards is very real.

Building owners and management are only one class of stakeholders when it comes creating consent. On the face of it the temperature, humidity, movement and light may seem innocuous and are part and and parcel of understanding the use of a building, but there is a danger that the data could be used outside its original purpose. Within the first few days of sensors being installed the data revealed patterns of usage that could infer the activity of individuals. During the working day this may not be a problem but for the people who maintain offices out of hours it would not be a leap of the imagination to think that sensors could be used as a method of surveillance. These issues are not unique to office spaces and similar challenges lie within public spaces and the urban built environment.

At this point we are starting to identify three classes of stakeholders within the consent framework:

  • Building owners and management – those that have the ability to use the data for analysis and can make final decisions on data release
  • Building users – individuals and companies who pay for the use of the space
  • Building operatives – individuals employed for maintenance, cleaning and security.

Any consent framework needs to understand the concerns of these stakeholders and propose approaches to address them.

To attend our next workshop in Manchester on the 25th January click here

The Knowable Building Framework is being developed by Open Data Manchester along with its partners Sensorstream, Things Manchester and Rennes Metropole funded by the Open Data Institute.

Construire le consentement

«The Knowable Building Framework» vise à créer un modèle de consentement pour le partage des données de performance des bâtiments à partir d’un réseau de capteurs installés dans un immeuble contenant des espaces de travail dans le centre de Manchester.

Le développement des capteurs connectés à bas coûts,  couplés avec l’avènement du LPWAN ( Low Power Wide Area Networks), notamment du LoRaWAN (Long Range Wide Area Networks) offre la possibilité de surveiller des actifs distants et difficiles à atteindre qui autrement, seraient trop difficiles à exploiter ou trop cher à entretenir.

Dans le domaine du management des bâtiments, l’opportunité de moderniser les capteurs passifs dans des bâtiments anciens offre la possibilité de comprendre comment les bâtiments fonctionnent dans le temps. Donner aussi la possibilité aux gestionnaires de bâtiments d’implémenter des mesures de contrôle et de promouvoir un changement comportemental des utilisateurs du bâtiment – Faire une économie de coûts et réduire l’impact environnemental-

Les capteurs installés mesurent la température, l’humidité, la lumière et les mouvements pour ensuite analyser les performances du bâtiment à l’aide d’un tableau de bord en ligne.

Bien que l’utilisation de capteurs dans le bâtiment ne soit pas particulièrement nouveau, le partage de données provenant de ces capteurs  permet une meilleure compréhension de l’utilisation des bâtiments au sein des organisations ou au niveau des villes et offre la possibilité de créer une image plus holistique de l’utilisation de l’énergie.

L’idée de partager de données même si elles ne sont pas en mode “open data” peut sembler inquiétant pour plusieurs organisations, et le développement d’un modèle de consentement vise à aider les propriétaires de données à comprendre les données qu’ils détiennent aussi bien d’un point de vue technique que contextuel.

Il identifie les risques perçus et réels et suggère de possibles atténuations. En améliorant la compréhension, le modèle espère faciliter le consentement des propriétaires de données à la diffusion de leurs données.

Certains analystes prédisent  près de 50 Milliards d’appareils connectés d’ici 2020 et la perspective de voir un désordre des sources de données qui seraient cloisonnées et conflictuelles respectant peu les normes techniques est très sérieuse.

Les propriétaires des bâtiments et les gestionnaires représentent une partie des parties prenantes quant il est question de créer le consentement.

A première vue, la température, l’humidité, les mouvements et la lumière peuvent sembler banal mais sont parties intégrantes de la compréhension de l’utilisation d’un bâtiment. Cependant, il y a le risque que l’utilisation de la donnée soit dévoyée.

Dans les premiers jours où les capteurs furent installés, les données ont révélé des schémas d’utilisation susceptibles de comprendre l’activité des individus.

Pendant la journée de travail, cela peut ne pas poser de problème mais pour les personnes qui travaillent en dehors des heures d’ouverture (personnel de sécurité et de nettoyage), ce n’est pas difficile d’imaginer que les capteurs pourraient être utilisés comme une méthode de surveillance. Ces problèmes ne sont pas spécifiques aux espaces de bureaux et des défis similaires apparaissent aussi dans les espaces publics et dans l’environnement urbain.

A ce stade, nous commençons à identifier trois classes de parties prenantes dans le cadre du consentement:

  • Les propriétaires de bâtiment et les gestionnaires, ceux qui ont la possibilité d’utiliser les données afin de les analyser et qui sont en mesure de décider ou pas de la publication des données récoltées
  • Les utilisateurs du bâtiment, les personnes ou les entreprises qui payent pour utiliser les espaces.
  • Le personnel employé pour la maintenance, le nettoyage et la sécurité du bâtiment.

Tout cadre de consentement doit comprendre les préoccupations des parties prenantes et apporter des réponses pour y remédier.

«The Knowable Building Framework» est développé par Open Data Manchester, financé par Open Data Institute, avec ses partenaires Sensorstream, Things Manchester et la Métropole de Rennes.

Buildings, internet of things and open data – Can we create consent?

Thursday 25th January 15.00 – 17.00
Federation
Federation Street
Manchester M4 4BF

Register here

Sensors and the Internet of Things have the ability to transform the way we manage infrastructure. Open Data Manchester in partnership with Sensorstream Ltd and Things Manchester in collaboration with Rennes Metropole is exploring how data from sensors can be collected, analysed and released as open data.

This workshop should interest building owners and managers, city officials, IoT technologists, open data activists, data governance and privacy specialists and anyone interested in how data derived from sensors can be shared.

Areas of discussion:

  • Overview of technologies being used for monitoring buildings – using as an example a pilot LoRaWAN sensor network being implemented in Manchester and programmes taking place in Rennes.
  • Can the sharing of sensor data help save money and make our cities more efficient and environmentally sustainable?
  • What are the risks of sharing and how can they be mitigated against?
  • How can data be licensed as open data?
  • Can we create a consent framework to allow data to be released?

The project

The Knowable Building Framework is developing an open source internet of things consent framework for monitoring the performance of older commercial buildings in a non-invasive way using discrete low power sensors, and if appropriate publishing the data from these sensors 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 sharing of performance data as open data can also have benefits for mapping energy usage and demand within cities as well as creating a debate about responsible energy consumption.

 

Knowable Building Framework

Helping building owners save energy, money and the environment through data

En français

The Knowable Building Framework is a UK – France collaboration project funded by the Open Data Institute that seeks to strengthen commercial opportunities and tackle societal challenges through data. It is a collaboration between Open Data Manchester, Rennes Metropole, Sensorstream and Things Manchester.

The Knowable Building Framework will develop an internet of things consent framework for monitoring the performance of older commercial buildings in a non-invasive way using discrete low power sensors, and if appropriate publishing the data from these sensors 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 project will utilise the Things Network that covers a large proportion of Greater Manchester and communities across the North with free and open Internet of Things connectivity 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.

The sensors

Designed and provided by Sensorstream, the sensors will have the capability to measure temperature, light, humidity and occupancy as well as a variety of other relevant conditions. The sensors are discrete measuring approximately 90mm x 130mm, lightweight and powered by a 3V AA batteries that can, depending on setup, operate over many years.

The network

The sensors connect to Manchester’s public Long Range Wide Area Network managed by Things Manchester. This commons-based network provides the capability for communities throughout Greater Manchester to connect internet of things enabled devices for free.

The analysis

Data from the sensors is aggregated into a dashboard interface that shows the operating characteristics over time, enabling the planning of control measures or behavioural change initiatives.

The Framework

The main focus of the project is the development of a framework that will help building owners and operators understand the data that buildings can produce and create a consent mechanism so that data can be shared and released as open data. There are many reasons why the release of this data may be contentious and the Knowable Building Framework seeks to work with building owners to identify and understand these reasons, the risks and the mitigations.

The How

Over the next two months the pilot sensor environment will be installed in Federation and will be used as the basis of the framework. Open Data Manchester will also be running a series of workshops in Rennes and Manchester with building owners, technologists and city officials to try and understand the challenges and utility of sharing building performance data.

The framework will be designed as an open source tool that can then be used to develop similar consent mechanisms for sensor data in other scenarios.

For more information contact Julian Tait julian[at]opendatamanchester[.]org[.]uk

Knowable Building Framework

Aider les Propriétaires de bâtiments à faire des économies d’argent, d’énergie et à préserver l’environnement.

The Knowable Building Framework est un projet de collaboration entre la France et UK financé par l’Open Data Institute qui vise à renforcer les opportunités commerciales et à relever les défis sociétaux à travers l’utilisation des données. C’est une collaboration entre Open Data Manchester, La métropole de Rennes, Sensorstream et Things Manchester.

The Knowable Building Framework développera un modèle de consentement pour l’internet des objets afin de surveiller la performance des bâtiments commerciaux anciens dans une logique non-intrusive, en utilisant des capteurs discrets de faible puissance et dans la mesure du possible, en diffusant les données de ces capteurs comme données publiques.

Contrairement aux bâtiments modernes, les bâtiments anciens sont souvent en retard dans l’utilisation des nouvelles technologies. De nombreux propriétaires procèdent à certaines rénovations notamment sur les zones de chauffage ou les systèmes de détection par mouvement, mais ceux-ci ont tendance à rester ponctuels et non connectés, sans la possibilité de contrôler l’efficacité de ces systèmes seuls ou ensemble.

L’internet des Objets et l’analyse des données issues des capteurs peuvent donner aux propriétaires, aux exploitants et aux locataires un aperçu des performances des bâtiments permettant ainsi de faire des ajustements qui seront bénéfiques tant d’un point de vue économique qu ‘écologique, tout en créant des opportunités de changement de comportement dans ces bâtiments.

Le projet utilisera Things Network qui couvrira une grande partie du Grand Manchester et des communautés du Nord, avec une connectivité internet gratuite et ouverte qui permettra à l’équipe projet, de concevoir et de connecter les capteurs et les plateformes analytiques à internet.

La puissance du projet viendra de la capacité à partager la quantité appropriée de données, à travers les portefeuilles de bâtiment, à une communauté plus large en tant que données ouvertes. Permettre que des idées puissent être recueillies à travers la ville.

Les capteurs

Désigné et fourni par Sensorstream, les capteurs auront la possibilité de mesurer la température, la lumière, l’humidité et l’occupation de l’espace ainsi que divers autres éléments pertinents. Les capteurs sont discrets, mesurant à peu près 90mm x 130mm, légers et alimentés par une pile AA 1,5 V qui, selon la configuration, peut fonctionner plusieurs années.

Le Réseau

Les capteurs se connectent au réseau public étendu de Manchester géré par Things Manchester. Ce réseau commun permet aux communautés à travers le Grand Machester de connecter gratuitement des appareils compatibles à internet.

L’Analyse

Les données des capteurs sont agrégés dans l’interface d’un tableau de bord qui montre les caractéristiques de fonctionnement dans le temps, permettant la planification de mesures de contrôle ou des initiatives de changement de comportement.

Le Modèle

Le but principal du projet est de développer un modèle qui aidera les propriétaires de bâtiment et les exploitants à comprendre les données que les bâtiments peuvent produire et de créer un mécanisme de consentement afin que les données puissent être diffusées et partagées en tant que données ouvertes.

Il y a plusieurs raisons pour lesquelles la diffusion de données est controversée et le Knowable Building Framework cherche à travailler avec les propriétaires de bâtiments pour identifier et comprendre ces raisons, les risques et les assouplissements qui pourraient exister.

Comment ?

Au cours des deux prochains mois, l’environnement du pilote capteur sera installé dans le bâtiment “Fédération”  et sera utilisé comme un modèle de base. Open Data Manchester réalisera une série d’ateliers à Rennes et à Manchester avec les propriétaires de bâtiments, des techniciens et des responsables de la Métropole pour tenter de comprendre les défis et l’utilité de partager les données de performance des bâtiments.

Le modèle sera désigné comme un outil open source qui, par la suite, puisse être utilisé pour développer des mécanismes similaires de consentement pour les données issues de capteurs dans d’autres scénarios.

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

Internet of Things and Open Data Publishing

Tuesday October 3rd 10.30 – 13.30

FACT
88 Wood Street
Liverpool
L1 4DQ

Register for free here

If you have an interest in internet of things and how the data produced can contribute to the broader data economy, this is your chance to have a say.

The internet of things offers unparalleled means to create data from sensors, devices and the platforms behind them. This explosion of connectedness is creating huge opportunity for building new products and services, and enhancing existing ones. With these opportunities come some gnarly challenges. These exist around standards in data and protocols, security, discoverability, openness, ethics and governance. None of these are trivial but all of them need to be understood.

This workshop is for people involved in open data, Smart Cities and the internet of things who are starting to come up against and answer some of these challenges.

It is being run by Open Data Manchester and ODI Leeds for the Open Data Institute to look at the future of open data publishing and IoT

The Open Data Institute (ODI) is always working towards improvements in open data – from making it easier to find and use right through to refining and implementing standards. They are very keen to work with people who use open data to see what they can be doing to help and improve open data for everyone.

The workshops are open to everyone who wants to join in, contribute, or work with us. The output from the workshops will be put forward to the ODI and the UK government with recommendations on how open data should be published.

Refreshments and lunch will be provided.

If you can’t make it but would still like to contribute, we have an ‘open document’ available here. We encourage people to add their questions, comments, suggestions, etc.

After the workshop there is the launch of LCR Activate a £5m project led by Liverpool John Moores University with the Foundation for Art and Creative Technology (FACT) and the LCR Local Enterprise Partnership. A three-year European Regional Development Fund (ERDF) initiative using AI, Big Data/High Performance Computing, Merging Data and Cloud technologies for the benefit of SMEs in the Liverpool City Region. Register here.

Open Infrastructure Night – Open Data and Open IoT

Monday February 1st, 6.30 – 8.30pm
The Manchester Escalator
231 Deansgate
Manchester
M3 4EN

Sign up here

If you believe some of the tech press 2016 is the year that the Internet of Things will take over – billions of devices will become connected and our lives will be free from the drudgery of turning things on and off again. Beyond the hype IoT is connected sensors, actuators and machines that can be communicate over a data infrastructure. Like the internet, the data infrastructure is a critical component which is generally owned and operated by large telecommunication providers. Things Manchester is part of The Things Network founded in Amsterdam and aims to create a crowdsourced, open and free IoT data infrastructure for Greater Manchester and beyond.

Things Manchester will introduce the project and how you can get involved.

The last few months have seen unprecedented rainfall across the north of the UK. Lancashire, Yorkshire and Cumbria bore the brunt of the flooding with bridges swept away, town centres flooded and buildings inundated. ODI Leeds is running a Flood Hack event that will encourage the development of new ideas around flood warnings and prevention. Having access to open data and an open IoT infrastructure is key to this development. The team who are developing Flood Hack will introduce the event and what can be expected and how you can participate

Open Data Manchester – September Edition

Open Environmental Data Special.

Tuesday 24th September 2013

Madlab 36-40 Edge Street Manchester M4 1HN

Sign up here: https://www.eventbrite.co.uk/event/8260221545

There has been a lot of emphasis in the open data movement on access to data that shines a light on the workings of government or allows the creation of mobility applications. Data that gives us insight into the environment in which we live, work and play tends to be little used yet offers huge potential in enabling people to understand and act on local environmental issues.

The Freedom of Information Act giving people the right to data that public bodies hold is well known but there is little understanding of legislation that gives people the right to access environmental data. The Environmental Information Regulations give people the power to ask for data on a host of environmental issues, yet unlike their FOIA cousins are under-utilised. Is it that EIR is too complex and little understood or is it that the data that is held is incomplete or difficult to use?

In mitigation of this there is a growing army of people who are taking matters into their own hands be exploring, mapping and creating environmental data that is more relevant to their communities. Low cost ‘easy to use’ sensors can be deployed , networked, fitted to smart phones and the data aggregated to provide a more comprehensive picture of our environment.

This months Open Data Manchester is a chance to look at some of the initiatives that have been taking place recently. It will be an opportunity to discuss why we need access to environmental data and how people can come together to map their own communities.