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.

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.

A Platform for Pervasive Building Monitoring Services Using Wireless Sensor Networks

2012 ◽  
pp. 361-389
Author(s):  
Abolghasem (Hamid) Asgari
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Pervasive Computing ◽  
Information Service ◽  
Wireless Sensor ◽  
Management Systems ◽  
Everyday Objects ◽  
Building Monitoring ◽  
Building Management ◽  
Building Management Systems

At the core of pervasive computing model, small, low cost, robust, distributed, and networked processing devices are placed, which are thoroughly integrated into everyday objects and activities. Wireless Sensor Networks (WSNs) have emerged as pervasive computing technology enablers in several field, including environmental monitoring and control. Using this technology as a pervasive computing approach, researchers have been trying to persuade people to be more aware of their environment and energy usage in the course of their every day life. WSNs have brought significant benefits as far as monitoring is concerned, since they are more efficient and flexible compared to wired sensor solutions. In this chapter, the authors propose a Service Oriented Architecture for developing an enterprise networking environment used for integrating enterprise level applications and building management systems with other operational enterprise services and functions for the information sharing and monitoring, controlling, and managing the enterprise environment. The WSN is viewed as an information service provider not only to building management systems but also to wider applications in the enterprise infrastructure. The authors also provide specification, implementation, and deployments of the proposed architecture and discuss the related tests, experimentations, and evaluations of the architecture.

BLEMAT: Data Analytics and Machine Learning for Smart Building Occupancy Detection and Prediction

2019 ◽  
Vol 28 (06) ◽  
pp. 1960005 ◽  
Author(s):  
Saša Pešić ◽  
Milenko Tošić ◽  
Ognjen Iković ◽  
Miloš Radovanović ◽  
Mirjana Ivanović ◽  
...  
Keyword(s):  
Data Analysis ◽  
Experimental Validation ◽  
Building Blocks ◽  
Management Systems ◽  
Smart Building ◽  
Occupancy Detection ◽  
Occupancy Patterns ◽  
Building Management ◽  
Building Occupancy ◽  
Building Management Systems

Running costs of buildings represent a significant outlay for all businesses, thus finding a way to run facilities as efficiently as possible is vital. IoT-enabled Building Management Systems provide means for process and resource usage automation leading to overall efficiency improvements. Inferring spatial and temporal occupancy in all its forms (binary, numerical or continuous) is one of the key contextual inputs required for smart building management systems. In this work, we showcase design, implementation and experimental validation of a smart building occupancy detection and forecasting solution. The presented solution comprises three main building blocks: (1) A fog computing indoor positioning system (BLEMAT — Bluetooth Low Energy Microlocation Asset Tracking) which, combined with wireless access network monitoring processes, produces indoor location information in a semi-unsupervised manner; (2) Data analysis and pattern searching pipelines responsible for fusing data coming from different smart building and networking systems and deriving information on temporal and spatial occupancy patterns; (3) Long short-term memory (LSTM) neural networks trained to predict occupancy patterns in different areas of a smart building. Data analysis and neural network training are conducted on real-world smart building dataset which authors provide in public online repository. Experimental validation confirms that the proposed solution can provide actionable occupancy detection and prediction information, required by smart building management systems.

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