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.

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.

scholarly journals Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-25
Author(s):  
Meiyi Ma ◽  
John Stankovic ◽  
Ezio Bartocci ◽  
Lu Feng
Keyword(s):  
Neural Networks ◽  
Real World ◽  
Recurrent Neural Networks ◽  
Cyber Physical Systems ◽  
Uncertainty Estimation ◽  
Physical Systems ◽  
Confidence Levels ◽  
Novel Approach ◽  
Infinite Set

Predictive monitoring—making predictions about future states and monitoring if the predicted states satisfy requirements—offers a promising paradigm in supporting the decision making of Cyber-Physical Systems (CPS). Existing works of predictive monitoring mostly focus on monitoring individual predictions rather than sequential predictions. We develop a novel approach for monitoring sequential predictions generated from Bayesian Recurrent Neural Networks (RNNs) that can capture the inherent uncertainty in CPS, drawing on insights from our study of real-world CPS datasets. We propose a new logic named Signal Temporal Logic with Uncertainty (STL-U) to monitor a flowpipe containing an infinite set of uncertain sequences predicted by Bayesian RNNs. We define STL-U strong and weak satisfaction semantics based on whether all or some sequences contained in a flowpipe satisfy the requirement. We also develop methods to compute the range of confidence levels under which a flowpipe is guaranteed to strongly (weakly) satisfy an STL-U formula. Furthermore, we develop novel criteria that leverage STL-U monitoring results to calibrate the uncertainty estimation in Bayesian RNNs. Finally, we evaluate the proposed approach via experiments with real-world CPS datasets and a simulated smart city case study, which show very encouraging results of STL-U based predictive monitoring approach outperforming baselines.

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

scholarly journals IT in the Processes of Creation and Operation of Construction Objects

2020 ◽  
pp. 218-225
Author(s):  
Oleh Kyslun ◽  
◽  
Yuriy Parhomenko ◽  
Ivan Skrynnik ◽  
Viktor Dariienko ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Construction Projects ◽  
Life Cycles ◽  
Management Systems ◽  
Accounting Systems ◽  
Area Of Interest ◽  
Building Management ◽  
Computer Aided ◽  
Aided Design ◽  
Building Management Systems

The article presents the results of IT research in the processes of creation and operation of construction projects. An overview of the means of complex accounting automation in Ukraine is given. An overview of the market of computer-aided design tools for architecture and construction is given also their characteristics are given. An overview of integrated market management systems in Ukraine is presented. The field of application of information technologies is constantly expanding, and growing constantly require monitoring of new implementations and search for effective innovations. Awareness provides a competitive advantage for both the developer and the consumer. Thus, the task of IT monitoring arises, and in the presence of a common area of interest, a team of like-minded people faces the problem of IT research in the processes of creation and operation of construction projects. IT in the process of creating and operating construction projects is used in all life cycles of the latter. The software that serves these processes is diverse and mostly disparate and is a set of software products aimed at sectoral use [1]. The issue of introduction of modern IT in this area is relevant and there is a need for development by specialists, which requires their study. The software used can generally be divided into: general purpose software; specialized accounting programs and other accounting systems; computer-aided design systems; integrated management systems of the organization; building management systems; scheduling systems. The so-called specialized accounting programs and accounting systems presented on the Ukrainian market in the construction sector are the same as for other sectors of the economy, there are only certain adaptations to take into account the specifics of the scope. At this stage of economic development of Ukraine in the construction industry ERP systems have not yet become widespread. Building management systems are also waiting to be expanded in Ukraine.

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