Local positioning systems versus structural monitoring: a review

Wu, Lijun; Casciati, Fabio

doi:10.1002/stc.1643

Cited by 32 publications

(24 citation statements)

References 48 publications

(59 reference statements)

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“…Traditional contact‐based sensing methods involve the use of sensors that are directly attached to the structure to measure dynamic responses such as acceleration, velocity, displacement, or inclination. Such contact sensors include a wide range of devices such as an accelerometer, linear variable differential transformer, strain gauge, fiber optic sensor, piezoelectric sensor, an impedance sensor, telependulum, and ultrasonic wave sensor . However, they pose many economic and practical challenges.…”

Section: Introductionmentioning

confidence: 99%

A literature review of next-generation smart sensing technology in structural health monitoring

Sony

Laventure

Sadhu

2019

Struct Control Health Monit

424

183

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Summary Advent of computationally efficient smartphones, inexpensive high‐resolution cameras, drones, and robotic sensors has brought a new era of next‐generation intelligent monitoring systems for civil infrastructure. Vibration‐based condition assessment has garnered as a prominent method of evaluating the health of large‐scale infrastructure. The use of contact‐based sensors for acquiring vibration data becomes uneconomical and tedious due to their instrumentation cost, centralized nature, and densification required to collect sufficient data for system identification of modern complex structures. A need to advance and develop alternative methods for efficient sensing system results in next‐generation measurement technology of structural health monitoring. The abundance of handheld smartphones with easily programmable framework has helped in modifying relevant software to acquire vibration data using embedded sensors in the smartphone. The inexpensive cameras have been used to capture images and videos that are utilized to understand the structural behavior with the aid of advanced signal processing techniques. The inaccessible components of structures require noncontact sensors such as unmanned aerial vehicles (UAVs) or so‐called drones and mobile sensors to acquire structural data. To the authors' knowledge, this paper first time presents a comprehensive review of a suite of next‐generation smart sensing technology that has been developed in recent years within the context of structural health monitoring. The state‐of‐the‐art methods have been presented by conducting a detailed literature review of the recent applications of smartphones, UAVs, cameras, and robotic sensors used in acquiring and analyzing the vibration data for structural condition monitoring and maintenance.

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Section: Introductionmentioning

confidence: 99%

A literature review of next-generation smart sensing technology in structural health monitoring

Sony

Laventure

Sadhu

2019

Struct Control Health Monit

424

183

View full text Add to dashboard Cite

show abstract

“…To improve the GPS-based applications, studies related to signal acquisition in steel structures or buildings were established [7,8]. As a use of GPS for better higher accuracy, a setup for roof antenna and base station were required to use with a local positioning system and monitored structures movement [9]. Limitations on positioning measurements were resolved by laser range finders, which are suitable for outdoor applications [10,11].…”

Section: Introductionmentioning

confidence: 99%

Navigation of an Autonomous Tractor for a Row-Type Tree Plantation Using a Laser Range Finder—Development of a Point-to-Go Algorithm

2015

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Abstract:It is challenging to develop a control algorithm that uses only one sensor to guide an autonomous vehicle. The objective of this research was to develop a control algorithm with a single sensor for an autonomous agricultural vehicle that could identify landmarks in the row-type plantation environment and navigate a vehicle to a point-to-go target location through the plantation. To enable such a navigation system for the plantation system, a laser range finder (LRF) was used as a single sensor to detect objects and navigate a full-size autonomous agricultural tractor. The LRF was used to control the tractor as it followed a path, and landmarks were detected "on-the-go" in real time. The landmarks were selected based on data for their distances calculated by comparison with the surrounding objects. Once the landmarks were selected, a target point was calculated from the landmarks, and the tractor was navigated toward the target. Navigation experiments were successfully conducted on the selected paths without colliding with the surrounding objects. A real time kinematic global positioning system (RTK GPS) was used to compare the positioning between the autonomous control and manual control. The results of this study showed that this control system could navigate the autonomous tractor to follow the paths, and the vehicle position differed from the manually driven paths by 0.264, 0.370 and 0.542 m for the wide, tight, and U-turn paths, respectively, with directional accuracies of 3.139°, 4.394°, and 5.217°, respectively, which are satisfactory for the autonomous operation of tractors on OPEN ACCESSRobotics 2015, 4 342 rubber or palm plantations. Therefore, this laser-based landmark detection and navigation system can be adapted to an autonomous navigation system to reduce the vehicle`s sensor cost and improve the accuracy of the positioning.

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“…Structural health monitoring (SHM) technologies have had widespread applications for the purpose of evaluating the safety of engineering structures during their service lifetime, which ensures the serviceability and sustainability of the structures . The sensing technology is a critical part of SHM.…”

Section: Introductionmentioning

confidence: 99%

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

Meng

Yan

et al. 2019

Struct Control Health Monit

115

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Summary Global Navigation Satellite System (GNSS) positioning technology has had widespread applications in the structural health monitoring as its overall performance has improved significantly in the last two decades. It is capable of providing timely and accurate structural vibration information such as dynamic displacements and modal frequencies at higher performance than traditional accelerometers. The studies summarized in this paper focus on the improvement of the multi‐sensors and multi‐constellation data acquisition techniques, the improvement of multiple approaches for erroneous noise mitigation, and innovative modal parameter identification methods. We also detailed the applications of GNSS on the deformation monitoring for towers, chimneys, tall buildings, and bridges. With continuous enhancements in the algorithm and hardware of GNSS, it is expected that the application of GNSS technology can be expanded to other fields such as bridge cable‐force measurements and bridge weight‐in‐motion as well as structural deformation monitoring.

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Local positioning systems versus structural monitoring: a review

Cited by 32 publications

References 48 publications

A literature review of next-generation smart sensing technology in structural health monitoring

A literature review of next-generation smart sensing technology in structural health monitoring

Navigation of an Autonomous Tractor for a Row-Type Tree Plantation Using a Laser Range Finder—Development of a Point-to-Go Algorithm

Global Navigation Satellite System‐based positioning technology for structural health monitoring: a review

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