Evaluating the concept and value of smart buildings for the development of a smarter procurement strategy

The authors consider the issues of forming a procurement strategy for enterprises of the fuel and energy complex (FEC) as a management tool. The study begins with a review of the categories of strategy, purchasing, and risk. Based on the generalization and interpretation of the obtained knowledge, the author's model of procurement strategy for enterprises of the fuel and energy complex is proposed, which differs from the existing ones in that it simultaneously acts as a means of connecting the enterprise with the external market environment. The strategy has a complex multi-stage character with many elements. Through detailed strategic planning can be achieved high efficiency of the procurement activities of enterprises of fuel and energy. The proposed algorithm can form the basis of an unlimited number of branches of the national economy.

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A Co-simulation Environment for Security of Smart Buildings

Living in the Internet of Things (IoT 2019) ◽

10.1049/cp.2019.0171 ◽

2019 ◽

Author(s):

N. Tuptuk ◽

A. Chalanga ◽

S. Hailes

Keyword(s):

Simulation Environment ◽

Smart Buildings

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Design of underlying network infrastructure of smart buildings

4th International Conference on Intelligent Environments (IE 08) ◽

10.1049/cp:20081123 ◽

2008 ◽

Cited By ~ 1

Author(s):

A. McGibney ◽

M. Klepal ◽

J.T. O'Donnell

Keyword(s):

Network Infrastructure ◽

Smart Buildings ◽

Underlying Network

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An Application on Building Information Model to Procurement Strategy of Copper Raw Material with Big Data Analytics

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) ◽

10.1109/ieem45057.2020.9309743 ◽

2020 ◽

Author(s):

Sheng-Tun Li ◽

Kuei-Chen Chiu ◽

Tsung-He Chiu

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Information Model ◽

Raw Material ◽

Building Information Model ◽

Building Information ◽

Procurement Strategy

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Accuracy analysis of BLE beacon-based localization in smart buildings

Journal of Ambient Intelligence and Smart Environments ◽

10.3233/ais-210607 ◽

2021 ◽

pp. 1-20

Author(s):

Rosen Ivanov

Keyword(s):

Use Case ◽

Accuracy Analysis ◽

Localization Algorithm ◽

Computing Power ◽

Smart Buildings ◽

Localization Accuracy ◽

Positioning Systems ◽

Deployment Strategy ◽

Accurate Localization ◽

Localization Algorithms

The majority of services that deliver personalized content in smart buildings require accurate localization of their clients. This article presents an analysis of the localization accuracy using Bluetooth Low Energy (BLE) beacons. The aim is to present an approach to create accurate Indoor Positioning Systems (IPS) using algorithms that can be implemented in real time on platforms with low computing power. Parameters on which the localization accuracy mostly depends are analyzed: localization algorithm, beacons’ density, deployment strategy, and noise in the BLE channels. An adaptive algorithm for pre-processing the signals from the beacons is proposed, which aims to reduce noise in beacon’s data and to capture visitor’s dynamics. The accuracy of five range-based localization algorithms in different use case scenarios is analyzed. Three of these algorithms are specially designed to be less sensitive to noise in radio channels and require little computing power. Experiments conducted in a simulated and real environment show that using proposed algorithms the localization accuracy less than 1 m can be obtained.

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