Developing an agent-based platform to monitor intelligent buildings

Abstract

In recent times, significant advancements have been evidenced in efforts to enhance connectivity and security within intelligent buildings (IBs). An IB is a contemporary structure that leverages state-of-the-art computer technologies to autonomously control the environmental conditions within a building to enhance occupants’ comfort, safety, work efficiency, and wellbeing while also ensuring optimal energy consumption. In the access aspect of a telecommunication network for IBs, the Main Distribution Frame (MDF) is in the central office. Intermediate Distribution Frames (IDFs) act as the isolation points for additional troubleshooting and further distribute the lines. The MDF is essentially a circuit switch that is typically operated through manual intervention because requests to establish or remove connections are sporadic and occasional. This can be tackled by utilizing Agent Based Systems (ABS) and Internet of Things (IoT) monitoring systems to develop a more holistic perspective of the process by which IDFs and MDF rooms are maintained. Furthermore, it will generate a process overview if we eradicate the process of physically checking a room that is currently used for IoT monitoring. In this research, a case study is presented to determine the feasibility of developing an IoT monitoring system. Currently, the monitoring applied in the case study is long, and over 40% of the equipment has maintenance failures. Distributed simulation of ABS is used to simulate the use of IoT for this project. Its data forecast can be very useful in determining the appropriate actions to improve the process of IDF and MDF and operational cost.

Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort

“…Agent-based virtual organizations are particularly well suited as support for the development of BEMSs [70][71][72][73][74]. They enable the description of structural compositions and functional behavior and the inclusion of normative regulations for controlling agent behavior, for the dynamic entry/exit of components, and for the dynamic formation of agent groups [75].…”