MoTive – Interaktives Anlagenschema zur BIM- basierten Unterstützung eines technischen Monitorings

Benndorf, Gesa; Ihlenburg, Moritz; Réhault, Nicolas

doi:10.37544/1436-5103-2021-06-55

Cited by 1 publication

(1 citation statement)

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“…Additionally, the application displays time-series data plots and provides a textual description of the implemented functions. The HVAC schema is derived from an IFC file and subsequently linked to the control topology [9]. The PLC code is exported from the PLC using the XML exchange standard [8], and the XML file is connected to the control topology and the entire system topology through the PLCont ontology.…”

Section: Plcont Applicationmentioning

confidence: 99%

Towards a Digital Representation of Building Systems Controls

Ihlenburg,

Réhault,

Herkel

et al. 2024

Int Sustain Ener Conf Proc

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Energy monitoring and performance optimization processes play a significant role in ensuring energy-efficient building operation. However, the current implementation of these processes requires substantial time and effort due to the fragmented and non-digital nature of technical building equipment information. To address these challenges, we demonstrate the application of the PLCont methodology within an ongoing monitoring process in a real building. PLCont utilizes Semantic Web Technologies and established RDF ontologies to describe the control topology. The digital representation of control functions aligns closely with the IEC standard 61131-3, and the PLCont ontology establishes a connection between the topology and the control functions. We compare the conventional approach and the PLCont methodol-ogy using the supply air temperature control of an Air Handling Unit (AHU) as a use case. A graphical user interface built upon the PLCont backend provides a comprehensive represen-tation of the system's functionality. It displays the system topology as a digital HVAC schema, the function code exported from the PLC, time-series data plots, and textual descriptions of implemented functions. We demonstrate how this approach enhances transparency and facil-itates the identification and elimination of faulty system behavior, ultimately contributing to the optimization and energy efficiency of building systems.

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Section: Plcont Applicationmentioning

confidence: 99%