Model for the 3D Location of Buried Assets Based on RFID Technology

Dziadak, Krystyna; Kumar, Bimal; Sommerville, James

doi:10.1061/(asce)0887-3801(2009)23:3(148)

Cited by 49 publications

(24 citation statements)

References 10 publications

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“…Metals (Ergen et al, 2007), soil types (Dziadak et al, 2009), and water and liquids (Bahl and Padmanabhan, 2000;Ross et al, 2009) have been observed to attenuate the RSSI values in the literature; however, materials that are used commonly in buildings have not been studied. In this study, line-ofsight conditions along with 10 different materials (including aluminium, cardboard, carpet, ceiling board, clay, drywall, foam, glass, plywood, and steel) were used to evaluate the variability of RSSI values where different obstructions exist.…”

Section: Relative Orientationmentioning

confidence: 99%

“…Ergen et al (2007a) concluded that poor RFID performance in facility management applications was caused by the low read rate of the active tags attached to fire valves, which the authors attributed to the highly metallic environment and the obstructions between readers and tags. Dziadak et al (2009) evaluated the read range of passive tags in the presence of different soil types. In this research, passive tags were attached to the pipes, which were buried underground.…”

Section: Introductionmentioning

confidence: 99%

“…Radio frequency identification (RFID) is one of the most widely used technologies and has been developing rapidly, to a global value of US$7.67 billion in 2012; it is expected to grow to $11.3 billion by 2015 (IDTechEx, 2013). Many researchers have focused on the applications of RFID technology and have proven that it has the potential to become pervasive (Domdouzis et al, 2007) for various purposes such as prefabrication control and management (Ergen et al, 2007;Yin et al, 2009), supply chain management (Song et al, 2006b;Kaneko et al, 2007;Wang et al, 2007;Ren et al, 2010), onsite (Song et al, 2006a;Song et al, 2007;Torrent and Caldas, 2009; or underground (Dziadak et al, 2009) materials management, tool management (Goodrum et al, 2006), safety management (Umetani et al, 2006;Chen et al, 2007;Wang, 2008;Chae and Yoshida, 2010), project process management (Chin et al, 2008), and facility management (Ergen et al, 2007b;Ko, 2009). Li and Becerik-Gerber (2011) provided a comprehensive review and performance analysis of RFID-based indoor location sensing solutions for the built environment.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the variability of RSSI values for active RFID-based indoor applications

Çalış¹,

BECERİK-GERBER²,

GÖKTEPE³

et al. 2013

Turkish J Eng Env Sci

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The results indicate that different system parameters caused variations in RSSI values as well as the detectability rates.Nevertheless, different test beds changed the influence of each parameter on the RSSI values. It is concluded that testing environment is a prominent parameter that affects the results and fluctuations in the RSSI values, and that the detectability rates cannot be attributed to any specific parameter that has been included in this study.

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Section: Relative Orientationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of the variability of RSSI values for active RFID-based indoor applications

Çalış¹,

BECERİK-GERBER²,

GÖKTEPE³

et al. 2013

Turkish J Eng Env Sci

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“…An activated tag transmits its data (Khong and White 2005). The antenna provides communication between reader and tag and some properties differ such as frequency range which affects the performance of the system depending on the shape and size of the antenna (Dziadak et al 2009). …”

Section: Rfid Technologymentioning

confidence: 99%

Indoor Navigation Design Integrated With Smart Phones and Rfid Devices

Ortakcı

Demiral

Atila

et al. 2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:High rise, complex and huge buildings in the cities are almost like a small city with their tens of floors, hundreds of corridors and rooms and passages. Due to size and complexity of these buildings, people need guidance to find their way to the destination in these buildings. In this study, a mobile application is developed to visualize pedestrian's indoor position as 3D in their smartphone and RFID Technology is used to detect the position of pedestrian. While the pedestrian is walking on his/her way on the route, smartphone will guide the pedestrian by displaying the photos of indoor environment on the route. Along the tour, an RFID (RadioFrequency Identification) device is integrated to the system. The pedestrian will carry the RFID device during his/her tour in the building. The RFID device will send the position data to the server directly in every two seconds periodically. On the other side, the pedestrian will just select the destination point in the mobile application on smartphone and sent the destination point to the server. The shortest path from the pedestrian position to the destination point is found out by the script on the server. This script also sends the environment photo of the first node on the acquired shortest path to the client as an indoor navigation module.

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“…However, active tags are expensive and have limited battery life time (5-10) years (Dziadak et al, 2009). In addition, the use of active tags may result in undesirable interference, in view of their relatively wide range and likely obstruction objects onsite during construction.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study for Efficient Use of RFID in Construction

Montaser¹,

Azram²,

Moselhi³

2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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This paper presents an experimental study conducted to facilitate the use of RFID on construction job sites. The study focuses on deployment settings to provide data acquisition with higher accuracy for indoor location sensing. It provides extension to the state-of-the-art in this field as it addresses the impact of metal media proximity to RFID tags, the reasonable duration for data capturing, number of RFID tags employed and the distance between them. Low cost passive RFID tags were used in the experiments where each tag is used as a reference point with a known location. Five hundred and forty (514) experiments were conducted in lab environment using a 3m by 3m test bed that is dynamically rearranged to generate 15 test beds and a total of 67713 data sets were collected and analyzed. The collected data were captured from nine locations for each test bed at four time intervals. Received Signal Strength Indicator (RSSI) was used as the main attribute for signal measurement to process the captured data. Results of the data analysis performed are studied under four main categories: duration, number of tags, locations of tags and metal interference. The best duration was found to be the 15 second in the test bed with the least number of tags; as the short amount of time to capture data did not allow creation of a lot of interference among the emitted signals. Within each test bed, errors occurred most at points where the received signals were not well distributed in a 360 degree vicinity of the data capturing point. It means that the center point of each test bed resulted in lowest errors and the points located on the extremities led to the highest errors. Finally, metal objects were found to have major impact on the accuracy of the captured data; to the level where reliable values for errors could not be calculated in the test beds attached to metal objects. In summary, the results of the experimental study and related findings are expected to provide guidelines to the users of RFID technology for localization in building construction.

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Model for the 3D Location of Buried Assets Based on RFID Technology

Cited by 49 publications

References 10 publications

Analysis of the variability of RSSI values for active RFID-based indoor applications

Analysis of the variability of RSSI values for active RFID-based indoor applications

Indoor Navigation Design Integrated With Smart Phones and Rfid Devices

Experimental Study for Efficient Use of RFID in Construction

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