Potential Applications of UAV within the Construction Industry and the Challenges Limiting Implementation

Author(s):  
David D. York ◽  
Ahmed Jalil Al-Bayati ◽  
Zamaan Y. Al-Shabbani
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anish Banerjee ◽  
R. Ramesh Nayaka

Purpose The purpose of this paper is to investigate building information modelling (BIM) integrated Internet of Things (IoT) architectures extensively and provide comparative evaluation of those against deciding parameters pertaining to their characteristics and subsequent applications in construction industry. Design/methodology/approach This paper identifies BIM-integrated cyber physical system frameworks, specific to project objectives, comprising of sensors working as physical assets and BIM-based virtual models acting as the cyber component , connected via wired or wireless protocols (e.g. WiFi, Zigbee, near-field communication, mobile-to-mobile, Zwave, 3 G, 4 G, long-term evolution, 5 G and low-power wide-area networks) and their potential applications in decision-making, visual management, logistics and supply chain management, smart building system management and structural performance assessment, etc. Such proposed architectures are evaluated against deciding parameters such as availability, reliability, mobility, performance, management, scalability, interoperability and security and privacy to evaluate their respective efficiencies. Findings This study finds that the underlying aim of planned IoT frameworks is to integrate systems and processes for a better information flow and to initiate shift from silo solutions to a smart ecosystem. The efficiencies of such frameworks are completely subjective to their respective project natures, objectives and requirements. Originality/value This study is unique in its nature to identify requirements of an efficient BIM-integrated IoT architecture and provide comprehensive insights about potential applications in construction industry.


2019 ◽  
Vol 96 ◽  
pp. 02004
Author(s):  
Tebogo Mashifana

A million tons of Phosphogypsum (PG) is stacked in the environment every year and is progressively considered an asset. South African construction industry is expanding as a result of infrastructural developments in the country, the reuse of PG in this industry is considered for recycling and reducing the stacks in landfills. Phosphogypsum is known for its limited ability to use in cement industry due to its phosphorus and radionuclides impurities. This study was conducted to reduce these impurities and investigate the probability of PG application in building and construction. Leaching of PG with citric acid was conducted whereby a relative proportion of P2O5 and radionuclides was reduced in the material, constituents which contributes to strengths reduction. Optimum moisture Contents and maximum dry densities were determined for various PG content mix designs in which Lime and Fly Ash were added to stabilise PG material. The composites were compacted at various moisture contents and cured at low and elevated temperatures of at 40 °C and 80 °C for 4 days. The results obtained shows that for unconfined compressive strengths; the composites produced from PG, and cured at high temperature qualified for the use in construction industry.


Author(s):  
Alaa Abdou ◽  
Moh’d Radaideh ◽  
John Lewis

Decisions are activities that we face and deal with every day. Decision support systems are used to support and improve decision making. They help people make better and faster decisions than they could make themselves. The construction industry witnessed a growth in the application of knowledge-based expert systems in the eighties and early nineties, followed by the application of fuzzy, artificial neural networks and hybrid (integrated) systems. Potential applications of the Internet in the construction industry have generated many research projects recently. The purpose of this chapter is to understand decision support systems and their basic technologies, and to review their application in the construction industry. The construction industry is rapidly realising the need to integrate information technology and artificial intelligence into its processes in order to remain competitive.


2010 ◽  
pp. 1024-1042 ◽  
Author(s):  
Alaa Abdou ◽  
Moh’d Radaideh ◽  
John Lewis

Decisions are activities that we face and deal with every day. Decision support systems are used to support and improve decision making. They help people make better and faster decisions than they could make themselves. The construction industry witnessed a growth in the application of knowledge-based expert systems in the eighties and early nineties, followed by the application of fuzzy, artificial neural networks and hybrid (integrated) systems. Potential applications of the Internet in the construction industry have generated many research projects recently. The purpose of this chapter is to understand decision support systems and their basic technologies, and to review their application in the construction industry. The construction industry is rapidly realising the need to integrate information technology and artificial intelligence into its processes in order to remain competitive.


2014 ◽  
Vol 1065-1069 ◽  
pp. 1710-1713
Author(s):  
Li Zhi Han ◽  
Si Li Li

This paper discusses Radio Frequency Identification (RFID) technology and its potential applications in the asphalt pavement construction industry. RFID technology offers wireless communication between RFID tags and readers. These fundamental properties eliminate manual data entry and introduce the potential for automated processes to increase project productivity, construction safety, and project cost efficiency. Construction contractors, owners, and material suppliers that believe technology can further develop methods and processes in construction should feel obligated to participate in RFID studies for the advancement of the construction industry as a whole.


Author(s):  
Alaa Abdou ◽  
Moh’d Radaideh ◽  
John Lewis

Decisions are activities that we face and deal with every day. Decision support systems are used to support and improve decision making. They help people make better and faster decisions than they could make themselves. The construction industry witnessed a growth in the application of knowledge-based expert systems in the eighties and early nineties, followed by the application of fuzzy, artificial neural networks and hybrid (integrated) systems. Potential applications of the Internet in the construction industry have generated many research projects recently. The purpose of this chapter is to understand decision support systems and their basic technologies, and to review their application in the construction industry. The construction industry is rapidly realising the need to integrate information technology and artificial intelligence into its processes in order to remain competitive.


Author(s):  
Yenal Akgün ◽  

In all times of history, engineers and architects have searched for opportunities to develop adaptive structures, buildings and building parts, which are equipped for adjusting to ever-changing requirements and conditions. The reasons behind this interest relate to the growing need for functional/ spatial flexibility, sustainability and extended capabilities of structural performance. Recent advancements in construction technology, robotics, architectural computing and material science have increased the interest for these structures/ systems; and allowed us to develop examples that are more advanced. This paper aims to introduce the state of art contemporary adaptive systems in architecture and structural engineering; and presents a future perspective for these systems and their potential applications in the construction industry.


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