Energy consumption and air quality monitoring system

Skön, Jukka-Pekka; Kauhanen, Okko; Kolehmainen, Mikko

doi:10.1109/issnip.2011.6146606

Cited by 12 publications

(6 citation statements)

References 17 publications

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“…Utilizing various wired and wireless media approaches for implementing smart gateway architectures for home automation were extensively discussed in [7], [8], [9] and [10]. However, setting up an architecture doesn't necessarily provide a way how to implement that architecture.…”

Section: Distribution Germany (%) Finland (%)mentioning

confidence: 99%

Capability Based Communication for Green Buildings and Homes - a REST-like API within the conex.io Project -

Droegehorn¹,

Trenz²,

Brausse³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Within the Kyoto protocol and the Paris agreement the world's countries have agreed to limit global warming to a maximum of 2°C. The European Union has passed directives to mitigate emissions from buildings, as around 36% of the EU's total CO 2 emissions stem from them. To implement these directives, the use of home automation systems can be a significant contribution installed in existing, even renovated households. Looking to the global home automation market it becomes clear that none of the available vendors/solutions can cover a sufficient enduser scenario alone. And even with a multitude of technologies the integration of different systems is a tedious work as most of the systems are technically incompatible to each other. Tackling this challenge with open source software promises an easier integration but usually comes along with issues of heterogenic command syntaxes and parameter sets. This paper outlines a REST-like API and an abstraction mechanism, enabling user-interfaces and front-ends to communicate with smart home systems based on capabilities instead of protocols and technologies. The API decouples front-ends from specific smart home technologies and allows for a seamless integration of new protocols without touching the code of a front-end again.

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Section: Distribution Germany (%) Finland (%)mentioning

confidence: 99%

Capability Based Communication for Green Buildings and Homes - a REST-like API within the conex.io Project -

Droegehorn¹,

Trenz²,

Brausse³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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“…The buildings sector is the largest user of energy and CO2 emitter in the EU, estimated at approximately 40% of the total consumption. In particular, we study a specific home monitoring system called AsTEKa [9,10]. For simplicity, we consider here only two variables: room temperature and water consumption.…”

Section: Case Studymentioning

confidence: 99%

Quality Control of Environmental Measurement Data with Quality Flagging

Rönkkö¹,

Kauhanen²,

Stocker³

et al. 2015

IFIP Advances in Information and Communication Technology

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We discuss quality control of environmental measurement data. Typically, environmental data is used to compute some specific indicators based on models, historical data, and the most recent measurement data. For such a computation to produce reliable results, the data must be of sufficient quality. The reality is, however, that environmental measurement data has a huge variation in quality. Therefore, we study the use of quality flagging as a means to perform both real-time and off-line quality control of environmental measurement data. We propose the adoption of the quality flagging scheme introduced by the Nordic meteorological institutes. As the main contribution, we present both a uniform interpretation for the quality flag values and a scalable Enterprise Service Bus based architecture for implementing the quality flagging. We exemplify the use of the quality flagging and the architecture with a case study for monitoring of built environment.

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“…The case study is part of ongoing research with our living lab, called AsTEKa [14]. AsTEKa is a sensor network for monitoring indoor air quality and energy efficiency of residential buildings.…”

Section: Case Study: An Adaptive Housementioning

confidence: 99%

Designing Resilience Mediators for Control Systems

Rönkkö¹,

Stocker²,

Neovius³

et al. 2014

Modelling, Identification and Control

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In this article we discuss how to improve the resilience of an existing control system. In recent years, our environment has become populated with numerous control systems due the to availability of low-cost technologies. For instance, modern home automation has become a cooperative network of multiple control systems, many of which communicate over the Internet. Many of these systems hardly address resilience, and improving them is hard, as many of them are provided as "black boxes". Consequently, as the main contribution, we propose a method for introducing resilience to an existing control system. The method is based on designing and adding resilience mediators that act in between the components to correct faulty communication and to mediate state awareness. In the method, behavioral analysis and HAZOP tables are used as tools to identify and design the relevant resilience mediators. We illustrate the use of the proposed method with an ongoing, real-life case study involving the control of a residential building that adapts to occupant's behavior.

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Energy consumption and air quality monitoring system

Cited by 12 publications

References 17 publications

Capability Based Communication for Green Buildings and Homes - a REST-like API within the conex.io Project -

Capability Based Communication for Green Buildings and Homes - a REST-like API within the conex.io Project -

Quality Control of Environmental Measurement Data with Quality Flagging

Designing Resilience Mediators for Control Systems

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