Abstract
Abstract Ever growing building energy consumption requires advanced automation and monitoring solutions in order to improve building energy efficiency. Furthermore, aggregation of building automation data, similarly to industrial scenarios allows for condition monitoring and fault diagnostics of the Heating, Ventilations and Air Conditioning (HVAC) system. For existing buildings, the commissioned SCADA solutions provide historical trends, alarms management and setpoint curve adjustments, which are essential features for facility management personnel. The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure. This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions. The implementation solution is realized and evaluated for a nearly zero energy building, as a case study.
Highlights
The development in Internet of Things (IoT) and Industry 4.0, as well as software microservices enables higher system integration, data analytics and rich visualization to be integrated into the existing infrastructure
This paper presents the implementation of a technology stack, which can be used as a framework for improving existing and new building automation systems by increasing interconnection and integrating data analytics solutions
The research originated from the needs to open up building automation system (BAS) data from a near-zero energy building SCADA for a wide audience, comprised of different technical disciplines
Summary
The research originated from the needs to open up building automation system (BAS) data from a near-zero energy building (nZEB) SCADA for a wide audience, comprised of different technical disciplines. The proposed technological stack in the architecture consists of OPC-UA as industrial communication protocol for efficient machine-to-machine data transmission on the field level, combined with Node-RED with OPC-UA package for simple interconnection between different software interfaces. For transmission from multiple fields and reusability of data, Node-RED performs packaging and sending data through MQTT to a private broker Following this on the server side, time series storage and analytics software, represented by InfluxData’s time series platform, are used for data ingress, preprocess and warehousing. As all the used software solutions are containerized, the connection from the field can be realized by deployment of gateway containers, i.e. Node-RED, on capable PLCs or SCADA computers. The framework is implemented in a modular manner, allowing for adoption of better technologies when available and flexible deployment environments, as containerized applications are widely supported by cloud service providers nowadays. Databases – historians for process data and general relational database for system operation
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