Real-time surrogate-assisted preprocessing of streaming sensor data

Debski, R. J.; Dreżewski, Rafał

doi:10.1016/j.comnet.2022.109422

Cited by 2 publications

(3 citation statements)

References 52 publications

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“…The simulation results showed that the bridge monitoring data generated by the model was real and effective, through which the performance of the bridge health assessment was improved. In a study on the compression and smoothing of data streams, Debski et al [77] introduced an algorithm with an adaptive search space and a special space reduction technique, aiming to provide an efficient method for processing sensor data in Internet of Things devices, health monitoring systems, autonomous vehicles, and robots. The numerical results showed that the proposed algorithm had lower errors and higher compression ratios than the reference algorithm.…”

Section: Data Preprocessingmentioning

confidence: 99%

The Current Development of Structural Health Monitoring for Bridges: A Review

et al. 2023

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The health monitoring system of a bridge is an important guarantee for the safe operation of the bridge and has always been a research hotspot in the field of civil engineering. This paper reviews the latest progressions in bridge health monitoring over the past five years. This paper is organized according to the various links of the bridge health monitoring system. Firstly, the literature on monitoring technology is divided into two categories, sensor technology and computer vision technology, for review. Secondly, based on the obtained monitoring data, the data processing methods including preprocessing, noise reduction, and reconstruction are summarized. Then, the technical literature on abnormal data early warning systems is summarized. The recent advances in vibration-based and non-destructive testing-based damage identification methods are reviewed in the next section. Finally, the advantages and disadvantages of the existing research and the future research directions are summarized. This review aims to provide a clear framework and some reliable methods for future research.

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Section: Data Preprocessingmentioning

confidence: 99%

The Current Development of Structural Health Monitoring for Bridges: A Review

et al. 2023

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“…Other types of edge computing methods manage data compression. Data compression performed locally significantly reduces the volume of data for transmission [ 109 ]. Data compression can be lossy or lossless.…”

Section: Iot Devices and Cloud Processingmentioning

confidence: 99%

“…al. [109] Edge computing study of autonomous vehicles and robots concerning with online compression.…”

Section: Data Compressionmentioning

confidence: 99%

IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey

Prauzek,

Kucova,

Konecny

et al. 2023

Sensors

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Geothermal energy installations are becoming increasingly common in new city developments and renovations. With a broad range of technological applications and improvements in this field, the demand for suitable monitoring technologies and control processes for geothermal energy installations is also growing. This article identifies opportunities for the future development and deployment of IoT sensors applied to geothermal energy installations. The first part of the survey describes the technologies and applications of various sensor types. Sensors that monitor temperature, flow rate and other mechanical parameters are presented with a technological background and their potential applications. The second part of the article surveys Internet-of-Things (IoT), communication technology and cloud solutions applicable to geothermal energy monitoring, with a focus on IoT node designs, data transmission technologies and cloud services. Energy harvesting technologies and edge computing methods are also reviewed. The survey concludes with a discussion of research challenges and an outline of new areas of application for monitoring geothermal installations and innovating technologies to produce IoT sensor solutions.

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Real-time surrogate-assisted preprocessing of streaming sensor data

Cited by 2 publications

References 52 publications

The Current Development of Structural Health Monitoring for Bridges: A Review

The Current Development of Structural Health Monitoring for Bridges: A Review

IoT Sensor Challenges for Geothermal Energy Installations Monitoring: A Survey

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