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A Programming Model for Portable Fault Detection and Diagnosis

Authors:

Dimitris Mavrokapnidis,

Dimitrios RovasAuthors Info & Claims

e-Energy '23: Proceedings of the 14th ACM International Conference on Future Energy Systems

Pages 127 - 131

https://doi.org/10.1145/3575813.3595190

Published: 16 June 2023 Publication History

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Abstract

Portable applications support the write once, deploy everywhere paradigm. This paradigm is particularly attractive in building applications, where current practice involves the manual deployment and configuration of such applications, requiring significant engineering effort and concomitant costs. This is a tedious and error-prone process which does not scale well. Notwithstanding recent advances in semantic data modelling that allow a unified representation of buildings, we still miss a paradigm for deploying portable building applications at scale. This paper introduces a portable programming model for such applications, which we examine in the context of Fault-Detection and Diagnosis (FDD). In particular, we look at the separation of the FDD logic and the configuration with specific data inputs. We architect a software system that enables their self-configuration and execution across various building configurations, expressed in terms of Brick metadata models. Our initial results from authoring and executing APAR (AHU Performance Assessment Rules) on multiple AHUs of two museums demonstrate the potential of our model to reduce repetitive tasks and deployment costs of FDD applications.

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Cited By

Chiosa RPiscitelli MPritoni MCapozzoli A(2024)A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schemaEnergy and Buildings10.1016/j.enbuild.2024.114802(114802)Online publication date: Sep-2024
https://doi.org/10.1016/j.enbuild.2024.114802
Mavrokapnidis DFierro GHusmann MKorolija IRovas D(2023)SeeQ: A Programming Model for Portable Data-Driven Building ApplicationsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3623744(159-168)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3623744

Index Terms

A Programming Model for Portable Fault Detection and Diagnosis
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Abstraction, modeling and modularity

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cover image ACM Other conferences

e-Energy '23: Proceedings of the 14th ACM International Conference on Future Energy Systems

June 2023

545 pages

ISBN:9798400700323

DOI:10.1145/3575813

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 16 June 2023

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EXCELLENT SCIENCE - Marie Sk?odowska-Curie Actions

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e-Energy '23

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e-Energy '23: The 14th ACM International Conference on Future Energy Systems

June 20 - 23, 2023

FL, Orlando, USA

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Cited By

Chiosa RPiscitelli MPritoni MCapozzoli A(2024)A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schemaEnergy and Buildings10.1016/j.enbuild.2024.114802(114802)Online publication date: Sep-2024
https://doi.org/10.1016/j.enbuild.2024.114802
Mavrokapnidis DFierro GHusmann MKorolija IRovas D(2023)SeeQ: A Programming Model for Portable Data-Driven Building ApplicationsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3623744(159-168)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3623744

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