scholarly journals BIM and sensor-based data management system for construction safety monitoring

2017 ◽  
Vol 15 (6) ◽  
pp. 738-753 ◽  
Author(s):  
Zainab Riaz ◽  
Erika A. Parn ◽  
David J. Edwards ◽  
Muhammad Arslan ◽  
Charles Shen ◽  
...  
Keyword(s):  
Data Management ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Data Management System ◽  
Sensor Technology ◽  
Prototype System ◽  
Confined Space ◽  
Content Type ◽  
Database Models ◽  
Database Storage

Purpose This research aims to investigate the integration of real-time monitoring of thermal conditions within confined work environments through wireless sensor network (WSN) technology when integrated with building information modelling (BIM). A prototype system entitled confined space monitoring system (CoSMoS), which provides an opportunity to incorporate sensor data for improved visualization through new add-ins to BIM software, was then developed. Design/methodology/approach An empirical study was undertaken to compare and contrast between the performances (over a time series) of various database models to find a back-end database storage configuration that best suits the needs of CoSMoS. Findings Fusing BIM data with information streams derived from wireless sensors challenges traditional approaches to data management. These challenges encountered in the prototype system are reported upon and include issues such as hardware/software selection and optimization. Consequently, various database models are explored and tested to find a database storage that best suits the specific needs of this BIM-wireless sensor technology integration. Originality value This work represents the first tranche of research that seeks to deliver a fully integrated and advanced digital built environment solution for automating the management of health and safety issues on construction sites.

UHF RFID proof of concept (POC) with open-source ILS at Universiti Sains Malaysia (USM) Libraries

2015 ◽  
Vol 49 (2) ◽  
pp. 135-150 ◽  
Author(s):  
JingHuey Khor ◽  
Widad Ismail ◽  
Mohd Nasir Md Rashid ◽  
A. Akla Wan Ismail ◽  
Muhammad Qayum Omar ◽  
...  
Keyword(s):  
Data Management ◽  
Open Source ◽  
Management System ◽  
Data Management System ◽  
Proof Of Concept ◽  
Rfid Technology ◽  
Uhf Rfid ◽  
Content Type ◽  
Library Automation ◽  
Detection Technologies

Purpose – Universiti Sains Malaysia (USM) uses different detection technologies and integrated library systems (ILS) at its four libraries located at different sites. Hence, ubiquitous data management system is required in the four libraries to enable real-time data sharing and tracking among the libraries. The paper aims to discuss these issues. Design/methodology/approach – Proof of concept is used to verify the performance of integration between different detection technologies including barcode, high frequency (HF) and ultra high frequency (UHF) radio frequency identification (RFID) as well as Integrated Library Management Utility (ILMU) and Koha ILSs. Five pilot tests are performed to investigate the speed of the borrowing and returning transactions, the efficiency of security gate to detect non-borrowed items, and the reliability of the ubiquitous data management system. Findings – The HF RFID technology and the proprietary library system have been used in many libraries. The current study proves that the integration of the UHF RFID technology and the Koha open-source ILS, which is named as Total Open-Source Library Automation Solution, can be a novel solution and can serve as a guide for other libraries. Originality/value – In the current phase of library data management system, it is common to integrate various technologies in improving the efficiency of the library system. But, the combination of Koha with UHF RFID into a single ILS for intra-library automation system has not been proven. This shows the importance of the proposed proven proof of concept that proves such integration is suitable to be implemented at USM libraries and other libraries.

MONet

2017 ◽  
Vol 13 (4) ◽  
pp. 345-369
Author(s):  
Kamel Barka ◽  
Azeddine Bilami ◽  
Samir Gourdache
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Efficiency ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective ◽  
Trade Offs

Purpose The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet). Design/methodology/approach In MONet, the middleware level of each network node autonomously adjusts its routing parameters according to dynamic network conditions and seeks optimal trade-offs among performance objectives for a balance of its global performance. MONet controls the cooperation between agents (network nodes) while varying transmission paths to reduce and distribute power consumption equitably on all the sensor nodes of network. MONet-runtime uses a modified TinyDDS middleware platform. Findings Simulation results confirm that MONet allows power efficiency to WSN nodes while adapting their sleep periods and self-heal false-positive sensor data. Originality/value The framework implementation is lightweight and efficient enough to run on resource-limited nodes such as sensor nodes.

A Sensor Data Management Scheme for Wireless Sensor Networks

2011 ◽  
Vol 467-469 ◽  
pp. 709-712
Author(s):  
Yuan Zhang ◽  
Yue Liu ◽  
Zhong Tian Jia
Keyword(s):  
Data Management ◽  
Sensor Network ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Extensive Discussion ◽  
Research Directions ◽  
Network Layer ◽  
Management Scheme ◽  
Insight Into ◽  
Sensor Data Management

One of the major difficulties of wireless sensor network (WSN) applications is how to efficiently manage the large amount of data produced by sensors. The differences from standard database source pose challenges of sensor data management. In this paper, we propose a novel sensor data management architecture based on our extensive discussion on existing works. The hierarchical system model consists of sensor network layer and proxy network layer. Sensor network layer performs limited computation and communication while being managed intelligently by the proxy network. The proxy network receives sensor data, manages sensor data and processes queries in a distributed manner. We also provide insight into possible research directions in this area.

Ubiquitous Sensor Data Management System

2013 ◽  
Vol 4 (1) ◽  
pp. 1-8 ◽  
Author(s):  
KiHo Hong ◽  
Sang Boem Lim ◽  
Junghee Kim ◽  
Mu Wook Pyeon ◽  
In Chae Jeong
Keyword(s):  
Data Management ◽  
Management System ◽  
Sensor Data ◽  
Data Management System ◽  
Sensor Data Management
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