Accurate structural displacement monitoring by data fusion of a consumer-grade camera and accelerometers

Wu, Tong; Tang, Liang; Shao, Shuai; Zhang, Xiangyu; Liu, Yijun; Zhou, Zhixiang; Qi, Xiaolei

doi:10.1016/j.engstruct.2022.114303

Cited by 28 publications

(13 citation statements)

References 38 publications

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“…These values will be stored in the cache and RDBMS instead of the HDFS, which ensures the timeliness of the system interactions. In addition to this, the commercial application, a java back-end service, also provides management and configuration modules such as device management, metrics management, algorithm management, and model management [ 11 ]. …”

Section: Methodsmentioning

confidence: 99%

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AIOps Architecture in Data Center Site Infrastructure Monitoring

Dong

2022

Computational Intelligence and Neuroscience

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AIOps (artificial intelligence for IT operations) has been growing rapidly in recent years. However, it can be seen that the vast majority of AIOps applications are implemented in the IT domain. In contrast, there are few applications in the data center infrastructure domain. Many real-world practices show that a working architecture or algorithm cannot be directly replicated from other domains due to completely different business scenarios and different data characteristics. In this paper, an AIOps architecture for the data center infrastructure monitoring domain is presented. A proven working architecture is given in terms of core modules, such as technical architecture, machine learning algorithms, big data, and business applications, and details are designed in practice. This paper focuses on the technical part and not on each part of the architecture work. In other words, NFRs (nonfunctional requirements), such as performance, availability, manageability, and security, will not be discussed in this paper.

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Section: Methodsmentioning

confidence: 99%

“…(5) In addition to this, the commercial application, a java back-end service, also provides management and configuration modules such as device management, metrics management, algorithm management, and model management [11]. [12].…”

Section: Main Service Flowsmentioning

confidence: 99%

AIOps Architecture in Data Center Site Infrastructure Monitoring

Dong

2022

Computational Intelligence and Neuroscience

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“…Because the SLSM method seeks the parameter vector in (5) to minimize the diference between the matching window pairs, a larger window size contains more pixel information. It leads to higher accuracy while potentially undermining the algorithm's robustness and speed, causing divergence.…”

Section: Simulation Test Ii: Matching Window Sizementioning

confidence: 99%

“…Terefore, how to efciently estimate or measure the displacement response is widely studied in the feld of SHM. For example, the accelerationbased method is commonly applied because of its advantages, including high precision and sensitivity [5]. Te displacement can be obtained through noise reduction and integration process [6].…”

Section: Introductionmentioning

confidence: 99%

Wireless Binocular Stereovision Measurement System Based on Improved Coarse-to-Fine Matching Algorithm

Wang

Xiao

Gong

et al. 2023

Structural Control and Health Monitoring

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To cope with the challenges some commonly used displacement sensors may face in structural health monitoring, we proposed a wireless binocular stereovision measurement system based on the improved coarse-to-fine matching algorithm. The vision measurement system can perceive multipoint three-dimensional displacement and consists of two cameras, one remote control unit, and a solar panel. The improved coarse-to-fine matching algorithm only requires a flat surface with some painted textures instead of designed markers with refined patterns (circle, square, and chessboard). Omitting the textures keeps a balance between measurement accuracy and the burden of the target installation in the actual field of structural health monitoring. The proposed coarse-to-fine matching algorithm utilizes scale-invariant feature transform (SIFT) points to generate a robust initial guess and combines improved least squares matching (LSM) algorithm for advanced corresponding point matching. A precalculated look-up table for interpolation and parallel computation is used for higher matching precision and computational efficiency. Several experiments were conducted to present the accuracy and feasibility of the proposed metering system. A simulation test, an indoor shaking table test with several commonly used displacement sensors, and an outdoor experiment consider the natural condition. Experimental results verified that the proposed matching methodology could achieve 0.2-pixel matching accuracy, 0.1 mm measuring precision in a laboratory, and millimeter-level precision in real conditions.

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“…Linear variable differential transformer (LVDT) sensors are the type of devices that are widely used in industry to measure displacement or linear position, due to their precision, reliability, and ability to operate in harsh environmental conditions [1,2]. They are typically deployed in measuring instruments where the accuracy of displacement or distance measurement is crucial, for example in thickness gauges, micrometers and other measuring tools [3], and can be used to monitor and control the positions of moving parts in industrial machines, such as pistons, shafts, and guides, or to control the positions of valves, trolleys, robot arms and other components.…”

Section: Introductionmentioning

confidence: 99%

Procedure for Determining the Upper Bound on Absolute Error for LVDT Sensors

Szul,

Tomczyk

2024

J. Phys.: Conf. Ser.

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This paper presents the procedure for determining the upper bound on absolute error (UBAE) for linear variable differential transformer (LVDT) sensors without inter-winding capacitance. This procedure is based on the results of a parametric identification of the sensor, from which the coefficient values of the corresponding transfer function are obtained. The UBAE is then determined by a simulation experiment using dedicated computational software. The error value and the shape of the input signal, which is constrained in magnitude, are determined. The calculations and additional validation of the procedure presented in this article are carried out using the MathCad 5.0 program. As the basis for the proposed procedure, we review issues related to the modelling of LVDT sensors without inter-winding capacitance. The solutions presented here can be used to determine the UBAE, which can then be used to assess the accuracy of these types of sensor and their mutual comparability in terms of dynamic accuracy.

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Accurate structural displacement monitoring by data fusion of a consumer-grade camera and accelerometers

Cited by 28 publications

References 38 publications

AIOps Architecture in Data Center Site Infrastructure Monitoring

AIOps Architecture in Data Center Site Infrastructure Monitoring

Wireless Binocular Stereovision Measurement System Based on Improved Coarse-to-Fine Matching Algorithm

Procedure for Determining the Upper Bound on Absolute Error for LVDT Sensors

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