scholarly journals Towards Next Generation Building Management Systems

2019 ◽  
Vol 111 ◽  
pp. 05004
Author(s):  
Ovidiu Noran ◽  
Ion Sota ◽  
Peter Bernus
Keyword(s):  
Management Systems ◽  
Physical Systems ◽  
Viable Systems ◽  
Building Management ◽  
Big Data Technologies ◽  
Emerging Issues ◽  
Iot Platforms ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Building Management Systems

The Internet of Things (IoT) paradigm is gradually finding its way in virtually every industry; however, beyond adding more sensors and measuring and controlling previously inaccessible domains, it is also about transforming ‘legacy’ approaches to control systems, such as those used in Building Management Systems (BMS), by leveraging on the advantages brought by Cyber Physical Systems (CPS). The purpose of this paper is to address several issues gradually emerging in the process of applying the CPS and IoT paradigms to revolutionise BMS. The results of this on-going research aim to help avoid potential pitfalls and provide a sound platform for taking advantage of the benefits brought by this technology in a feasible, effective and controlled manner. More specifically, the paper will address i) the changing meaning of interoperability in the context of the explosion in the number of IoT devices, ii) the need for guidance in adopting sustainable CPS and IoT platforms supporting BMS, based on appropriate non-functional and viable systems principles, iii) emerging issues in the BMS ‘cloudification’ endeavour and iv) the lack of data sources’ correlation resulting in sub-optimal data quality and detail in using Big Data technologies to enable effective analytics for prompt BMS decision-making.

A Novel Approach for Deploying Minimum Sensors in Smart Buildings

2022 ◽  
Vol 6 (1) ◽  
pp. 1-29
Author(s):  
Anshul Agarwal ◽  
Krithi Ramamritham
Keyword(s):  
Real World ◽  
Cyber Physical Systems ◽  
Management Systems ◽  
Physical Systems ◽  
Optimization Framework ◽  
Sensing System ◽  
Novel Approach ◽  
Building Management ◽  
Minimum Number ◽  
Building Management Systems

Buildings, viewed as cyber-physical systems, become smart by deploying Building Management Systems (BMS). They should be aware about the state and environment of the building. This is achieved by developing a sensing system that senses different interesting factors of the building, called as “facets of sensing.” Depending on the application, different facets need to be sensed at various locations. Existing approaches for sensing these facets consist of deploying sensors at all the places so they can be sensed directly. But installing numerous sensors often aggravate the issues of user inconvenience, cost of installation and maintenance, and generation of e-waste. This article proposes how intelligently using the existing information can help to estimate the facets in cyber-physical systems like buildings, thereby reducing the sensors to be deployed. In this article, an optimization framework has been developed, which optimally deploys sensors in a building such that it satisfies BMS requirements with minimum number of sensors. The proposed solution is applied to real-world scenarios with cyber-physical systems. The results indicate that the proposed optimization framework is able to reduce the number of sensors by 59% and 49% when compared to the baseline and heuristic approach, respectively.

IoT-Based Green Building

2020 ◽  
pp. 184-207
Author(s):  
Rachna Jain ◽  
Vaibhav Goel ◽  
Jusleen Kaur Rekhi ◽  
Jafar A. Alzubi
Keyword(s):  
Green Building ◽  
Green Buildings ◽  
Machine Learning Algorithms ◽  
Zero Energy ◽  
Building Management ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Insight Into ◽  
Building Management Systems ◽  
Zero Energy Buildings

Among the various domains of IoT, one domain that is highly emerging in recent years is the application of IoT in green buildings. With the advent of IoT, the concept of green buildings has taken an even broader perspective. Incorporating intelligence into the current building management systems could revolutionize the buildings in terms of energy efficiency. The chapter explores some sound benefits of integrating IoT into a green building. It offers insight into the various technologies used in green construction, followed by some IoT-based architectures. Some machine learning algorithms that can be used to boost the efficiency of IoT devices are also discussed. Finally, the chapter dives into the future of IoT-enabled green buildings, and explores the challenges in achieving zero-energy buildings, while addressing the questions it raises. It focuses on how a green building, together with the internet of things, may lead to zero-energy buildings, thus carving our path towards a secure and energy-efficient future.

IoT as a applications: cloud-based building management systems for the internet of things

2015 ◽  
Vol 75 (22) ◽  
pp. 14583-14596 ◽  
Author(s):  
Jaehak Yu ◽  
Marie Kim ◽  
Hyo-Chan Bang ◽  
Sang-Hyun Bae ◽  
Se-Jin Kim
Keyword(s):  
Internet Of Things ◽  
Management Systems ◽  
The Internet ◽  
Building Management ◽  
The Internet Of Things ◽  
Building Management Systems

scholarly journals Temperature and Load Consumption Forecast in Smart Building on Foundation IoT by ARIMA Algorithm

2019 ◽  
Vol 17 (12.2) ◽  
pp. 55
Author(s):  
Phi Chi Do ◽  
Phuoc Pham Duy ◽  
Bao Doan Thanh ◽  
Hieu Vu Trung
Keyword(s):  
Energy Source ◽  
Electric Energy ◽  
Management Systems ◽  
Existing Building ◽  
Smart Building ◽  
High Rise ◽  
Building Management ◽  
Building Management System ◽  
Building Management Systems ◽  
Internet Of Thing

The paper presents the application of Internet of thing (IoT) in managing smart buildings and a proposal to study some of the functions, applications of building management system (BMS) in monitoring, controlling and using electricity effectively for high-rise buildings. Currently, high-rise buildings consume about 33% of global electricity. Managing energy consumption in the buildings is very important when the demand for electricity is increasing. Existing building management systems have high costs and reveal many weaknesses in data collection. Therefore, using the ARIMAX algorithm for predicts temperature, humidity and the amount of electricity that will be consumed in building which helps operators always plan to prepare the necessary energy source for the building, ensuring the electric energy is always provided fully, continuously and effectively

scholarly journals Web-Based Architecture for Building Management Systems

2018 ◽  
Vol 22 (3/2018) ◽  
pp. 86-96
Author(s):  
Gabriela MEHEDINTU ◽  
Ramona Camelia BERE ◽  
Catalin Ionut SILVESTRU ◽  
Vasilica-Cristina ICOCIU
Keyword(s):  
Management Systems ◽  
Web Based ◽  
Building Management ◽  
Building Management Systems
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