Mavrokapnidis, Dimitris; Fierro, Gabe; Husmann, Maria; Korolija, Ivan; Rovas, Dimitrios; (2023) SeeQ: A Programming Model for Portable Data-Driven Building Applications. In: BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. (pp. pp. 159-168). ACM (In press).

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Abstract

This paper introduces SeeQ, a programming model and an abstraction framework that facilitates the development of portable data-driven building applications. Data-driven approaches can provide insights into building operations and guide decision-making to achieve operational objectives. Yet the configuration of such applications per building requires extensive effort and tacit knowledge. In SeeQ, we propose a portable programming model and build a software system that enables self-configuration and execution across diverse buildings. The configuration of each building is captured in a unified data model — in this paper, we work with the Brick ontology without loss of generality. SeeQ focuses on the distinction between the application logic and the configuration of an application against building-specific data inputs and systems. We test the proposed approach by configuring and deploying a diverse range of applications across five heterogeneous real-world buildings. The analysis shows the potential of SeeQ to significantly reduce the efforts associated with the delivery of building analytics.

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