Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings

Valinejadshoubi, Mojtaba; Moselhi, Osama; Bagchi, Ashutosh; Salem, Ashraf

doi:10.1016/j.scs.2020.102602

Cited by 97 publications

(51 citation statements)

References 20 publications

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“…The integration of an FC monitoring system into the BIM model would improve the building's maintenance plan by helping the facility managers to inspect the monitored building environments inside the 3D model. Thus, facility managers can profit from the proposed framework to resolve maintenance problems in the following aspects: The study conducted in this paper aims to fill the gaps of the following researches: limited number of sensors [23], an absence of automation [24], and lack of data acquisition system [25]. The final results of the fully automated framework composed of IoT sensors, dashboard, IoT and BIM integrated application, and implemented preventive maintenance methodology of the building facilities on the server prove the proposed framework's applicability.…”

Section: Discussionmentioning

confidence: 99%

“…Similar research has already been introduced [23][24][25], where some authors [23] represent automated IoT and BIM-based alert systems for comfort monitoring in buildings. They used humidity and temperature sensors to detect discomfort in rooms, whereas other authors [26] integrated IoT sensor data (temperature, illuminance and power consumption) to monitor indoor conditions of the buildings.…”

Section: Introductionmentioning

confidence: 97%

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IoT Open-Source Architecture for the Maintenance of Building Facilities

et al. 2021

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The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digital framework based on IoT and BIM platforms. Sensors applied in the building systems and IoT technology on a cloud platform with opensource tools and standards enable monitoring of real-time operation and detecting of different kinds of faults in case of malfunction or failure, therefore sending alerts to facility managers and operators. Proposed preventive maintenance methodology applied on a proof-of-concept heating, ventilation and air conditioning (HVAC) plant adopts open source IoT sensor networks. The results show that the integrated IoT and BIM dashboard framework and implemented building structures preventive maintenance methodology are applicable and promising. The automated system architecture of building facilities is intended to provide a reliable and practical tool for real-time data acquisition. Analysis and 3D visualization to support intelligent monitoring of the indoor condition in buildings will enable the facility managers to make faster and better decisions and to improve building facilities’ real time monitoring with fallouts on the maintenance timeliness.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

IoT Open-Source Architecture for the Maintenance of Building Facilities

et al. 2021

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“…For example, in [9], the authors present a building automation and control tool for remote and real-time monitoring of energy consumption in the building sector. The authors in [10] developed an IoT-based automated alert system for thermal comfort monitoring in buildings and, similarly, Wang et al [11] proposed an integrated system for building structural health monitoring and early warning based on IoT. The role of intelligent supervision concept integrated into building predictive control has been comprehensively reviewed in [12].…”

Section: Motivationmentioning

confidence: 99%

Advanced Supervision of Smart Buildings Using a Novel Open-Source Control Platform

Minarčík

Procházka²,

Gulan

2020

Sensors

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Gathering data and monitoring performance are at the heart of energy efficiency and comfort securing strategies in smart buildings. Therefore, it is crucial to present the obtained data to the user or administrator of such a building in an appropriate form. Moreover, evaluating the data in real time not only helps to maintain comfort, but also allows for a timely response from the user or operator to a possible fault. Continuous online monitoring and analysis of process behaviour, which is referred to as advanced supervision, is addressed in this paper by developing a procedure that will form an artificial operator autonomously supervising process. After introducing several techniques that are used for signal analysis, we propose an approach to advanced supervision of processes in smart buildings or other industrial control systems. The developed procedure is implemented on a control system platform that is particularly suitable for this purpose. Moreover, this platform includes a framework that provides support for the implementation of advanced control techniques and it is based on open-source tools, which is rarely seen in industrial applications. The developed advanced supervision procedure has been tested in simulation as well as in a practical case study using a real two-storey family house.

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“…One such approach was based on the Google Cloud platform to show temperature distribution in virtual reality (VR) represented room spaces [30]. Other researchers analysed the possibility to connect digital twin models in CAD environments with real-time monitored data, such as temperature and humidity sensors, as recently reported in [31] and shown in [32]. BMS data usages to characterize operational and design suggestions are currently a diffuse research topic, allowing, for example, defining optimal PCM melting points in walls and roofs [33], or calibrating numerical models for shaping thermal conditions in traditional buildings, e.g., [34].…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost Monitoring Platform and Visual Interface to Analyse Thermal Comfort in Smart Building Applications Using a Citizen–Scientist Strategy

2022

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Smart building issues are critical for current energy and comfort managing aspects in built environments. Nevertheless, the diffusion of smart monitoring solutions via user-friendly graphical interfaces is still an ongoing issue subject to the need to diffuse a smart building culture and a low-cost series of solutions. This paper proposes a new low-cost IoT sensor network, exploiting Raspberry Pi and Arduino platforms, for collecting real-time data and evaluating specific thermal comfort indicators (PMV and PPD). The overall architecture was accordingly designed, including the hardware setup, the back-end and the Android user interface. Eventually, three distinct prototyping platforms were deployed for initial testing of the general system, and we analysed the obtained results for different building typologies and seasonal periods, based on collected data and users’ preferences. This work is part of a large educational and citizen science activity.

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Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings

Cited by 97 publications

References 20 publications

IoT Open-Source Architecture for the Maintenance of Building Facilities

IoT Open-Source Architecture for the Maintenance of Building Facilities

Advanced Supervision of Smart Buildings Using a Novel Open-Source Control Platform

A Low-Cost Monitoring Platform and Visual Interface to Analyse Thermal Comfort in Smart Building Applications Using a Citizen–Scientist Strategy

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