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Application of ultra-weak fiber Bragg grating sensing array to road vehicle detection

MEASUREMENT 2025年 241卷

作者： Jiang, Jinpeng Yue, Lina Li, Sheng Liu, Fang Pan, Jianjun Gan, Weibing Wuhan Univ Technol Natl Engn Res Ctr Fiber Opt Sensing Technol & Netw 122 Luoshi Rd Wuhan 430070 Hubei Peoples R China

Road vehicle detection is a significant task for tackling traffic issues in intelligent transportation systems (ITS). In this paper, we introduce ultra-weak fiber Bragg grating (UWFBG) sensing technology for road vehicle flow, vehicle axle and wheelbase detection. We carry out pilot installation of UWFBG sensing optic cables in the asphalt base of the road in a new-built expressway. As opposed to the conventional linear installation along the road running direction, the deployment of cables is mainly perpendicular to the road. Using the acquired vehicle data, we analyze signal characteristics and propose real-time data processing algorithms based on identification and classification of peaks/valleys of vehicle waveforms as well as cross-correlation calculation. We test the proposed method in different scenes. Test results show that the calculated wheelbases achieve good accuracy (relative errors are <1 %) and the algorithms can well distinguish individual vehicle in complex vehicle conditions.

关键词： Road vehicle detection Axle detection Fiber optic cable Ultra-weak fiber Bragg grating monitoring algorithms

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DIAGNOSTIC AND AUTOMATIC ADJUSTMENT algorithms FOR A NON-DESTRUCTIVE STATISTICAL monitoring SYSTEM FOR THE MECHANICAL PROPERTIES OF HOT-ROLLED METAL STOCK

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METALLURGIST 2018年第7-8期62卷 627-633页

作者： Khlybov, O. S. Khrameshin, D. V. Kabakov, Z. K. OAO Vyksunskii Metallurgicheskii Zavod Vyksa Meta Vyksa Russia Cherepovets State Univ Fed State Funded Educ Inst Cherepovets Russia

This paper discusses the algorithms used for diagnostics and automatic adjustment of the parameters for non-destructive monitoring of the properties of rolled metal at the Vyksa Production Site. We describe the result... 详细信息

关键词： statistical process monitoring non-destructive testing of rolled metal strip mechanical properties metal certification monitoring algorithms

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algorithms used in telemonitoring programmes for patients with chronic heart failure: A systematic review

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EUROPEAN JOURNAL OF CARDIOVASCULAR NURSING 2018年第7期17卷 580-588页

作者： Brons, Maaike Koudstaal, Stefan Asselbergs, Folkert W. Univ Med Ctr Utrecht Dept Cardiol Utrecht Netherlands UCL Farr Inst Hlth Informat Res London England Netherlands Heart Inst Durrer Ctr Cardiovasc Res Utrecht Netherlands UCL Inst Cardiovasc Sci London England

Introduction: Non-invasive telemonitoring programmes detecting deterioration of heart failure are increasingly used in heart failure care. Aim: The aim of this study was to compare different monitoring algorithms used in non-invasive telemonitoring programmes for patients with chronic heart failure. Methods: We performed a systematic literature review in MEDLINE (PubMed) and Embase to identify published reports on non-invasive telemonitoring programmes in patients with heart failure aged over 18 years. Results: Out of 99 studies included in the study, 20 (20%) studies described the algorithm used for monitoring worsening heart failure or algorithms used for titration of heart failure medication. Most frequently used biometric measurements were bodyweight (96%), blood pressure (85%) and heart rate (61%). algorithms to detect worsening heart failure were based on daily changes in bodyweight in 20 (100%) studies and/or blood pressure in 12 (60%) studies. In 12 (60%) studies patients were contacted by telephone in the case of measurements outside thresholds. Conclusion: Only one in five studies on telemonitoring in chronic heart failure reported the algorithm that was used to detect worsening heart failure. Standardised description of the telemonitoring algorithm can expedite the identification of key components in telemonitoring algorithms that allow accurate prediction of worsening heart failure.

关键词： Heart failure telemonitoring programmes monitoring algorithms

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Data-Driven Approach for Feature Drift Detection in Embedded Electronic Devices ⁎

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IFAC-PapersOnLine 2018年第24期51卷 1024-1029页

作者： Djedidi, Oussama Djeziri, Mohand A. M'Sirdi, Nacer K. Aix Marseille University Université de Toulon CNRS LIS SASV Marseille France

This paper is a part of a project aiming to develop supervisor and monitoring devices for embedded systems in airplanes and vehicles. It focuses on the reliability of these systems and establishes a monitoring framework to detect drifts and faults in the behavior of the heterogeneous central processing units (CPU) and graphics processing units (GPU) chips powering them. In this work, we use a previously developed incremental model of these chips and associate it with a fault detection algorithm. Estimations from the model constitute inputs to the diagnosis module. The latter generates alarms in the presence of faults or drifts in the characteristics and features of the System-on-Chip (SoC). The obtained results validate the proposed monitoring algorithm and demonstrate the effectiveness of the fault detection algorithm. © 2018

关键词： monitoring Computer graphics Embedded systems Fault detection Graphics processing unit Identification (control systems) Microprocessor chips Models Program processors Programmable logic controllers Signal detection System on chip Analytical redundancy Embedded electronic devices Fault detection algorithm Graphics Processing Unit (GPU) Incremental modeling monitoring algorithms monitoring frameworks System on chips (SoC)

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QUALITATIVE AND QUANTITATIVE monitoring OF SPATIO-TEMPORAL PROPERTIES WITH SSTL

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LOGICAL METHODS IN COMPUTER SCIENCE 2018年第4期14卷

作者： Nenzi, Laura Bortolussi, Luca Ciancia, Vincenzo Loreti, Michele Massink, Mieke Univ Technol inst Comp Engn Vienna Austria Univ Trieste DMG Trieste Italy CNR Ist Sci & Tecnol Informaz A Faedo Pisa Italy Univ Camerino Scuola Sci & Tecnol Camerino Italy

In spatially located, large scale systems, time and space dynamics interact and drives the behaviour. Examples of such systems can be found in many smart city applications and Cyber-Physical Systems. In this paper we present the Signal Spatio-Temporal Logic (SSTL), a modal logic that can be used to specify spatio-temporal properties of linear time and discrete space models. The logic is equipped with a Boolean and a quantitative semantics for which efficient monitoring algorithms have been developed. As such, it is suitable for real-time verification of both white box and black box complex systems. These algorithms can also be combined with stochastic model checking routines. SSTL combines the until temporal modality with two spatial modalities, one expressing that something is true somewhere nearby and the other capturing the notion of being surrounded by a region that satisfies a given spatio-temporal property. The monitoring algorithms are implemented in an open source Java tool. We illustrate the use of SSTL analysing the formation of patterns in a Turing Reaction-Diffusion system and spatio-temporal aspects of a large bike-sharing system.

关键词： Spatio-Temporal Logic Signal Temporal Logic Quantitative Semantics monitoring algorithms Real-Time Verification Turing Pattern Bike Sharing Statistical Model Checking

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Qualitative and Quantitative monitoring of Spatio-Temporal Properties 6th

Qualitative and Quantitative Monitoring of Spatio-Temporal P...

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6th International Conference on Runtime Verification (RV)

作者： Nenzi, Laura Bortolussi, Luca Ciancia, Vincenzo Loreti, Michele Massink, Mieke IMT Lucca Italy Univ Saarland MOSI D-66123 Saarbrucken Germany Univ Trieste DMG Trieste Italy CNR ISTI Pisa Italy Univ Florence DiSIA Florence Italy

ISBN: (纸本)9783319238203;9783319238197

We address the specification and verification of spatio-temporal behaviours of complex systems, extending Signal Spatio-Temporal Logic (SSTL) with a spatial operator capable of specifying topological properties in a discrete space. The latter is modelled as a weighted graph, and provided with a boolean and a quantitative semantics. Furthermore, we define efficient monitoring algorithms for both the boolean and the quantitative semantics. These are implemented in a Java tool available online. We illustrate the expressiveness of SSTL and the effectiveness of the monitoring procedures on the formation of patterns in a Turing reaction-diffusion system.

关键词： Signal Spatio-Temporal Logic Boolean semantics Quantitative semantics monitoring algorithms Weighted graphs Turing patterns

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Analysis of problems induced by imprecise dating of measurements in oil and gas production 9

Analysis of problems induced by imprecise dating of measurem...

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9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015

作者： Petit, Nicolas

In this paper we discuss the negative impact on monitoring algorithms of working with imprecisely dated data. Two examples from the world of the oil & gas industry are presented and serve to illustrate that this problem can be of practical importance. First analytical results show that when signals with significant time variations are monitored, the impact of dating of measurements can be as troublesome (or even worse) than measurement noises. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： process control monitoring algorithms synchronisation of data information technology distributed database

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Systems with uncertain and variable delays in the oil industry: some examples and first solutions

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IFAC-PapersOnLine 2015年第6期48卷 68-76页

作者： Nicolas Petit

In this article we expose typical examples of systems from the oil industry having variable delays. The root causes of the variability can be the transport phenomena, the clocks mis-synchronisation in the employed information technology, or the transmission of waves in surrounding medium. We discuss these problems and sketch solutions.

关键词： process control uncertain delays variable delays monitoring algorithms synchronisation of data information technology feedback control

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Analysis of problems induced by imprecise dating of measurements in oil and gas production

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IFAC-PapersOnLine 2015年第8期48卷 966-973页

作者： Nicolas Petit

关键词： process control monitoring algorithms synchronisation of data information technology distributed database

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monitoring algorithms for detecting changes in the ozone concentrations

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ENVIRONMETRICS 2000年第2期11卷 125-137页

作者： Bordignon, S Scagliarini, M Univ Bologna Dept Stat I-40126 Bologna Italy Univ Padua Dept Stat I-35121 Padua Italy

The quality of data collected by air pollution monitoring networks is often affected by inaccuracies and missing data problems, mainly due to breakdowns and/or biases of the measurement instruments. In this paper we propose a statistical method to detect, as soon as possible, biases in the measurement devices, in order to improve the quality of collected data on line. The technique is based on the joint use of stochastic modelling and statistical process control algorithms. This methodology is applied to the mean hourly ozone concentrations recorded from one monitoring site of the Bologna urban area network. We set up the monitoring algorithm through Monte Carlo simulations in such a way to detect anomalies in the data within a reasonable delay. The results show several out of control signals that may be caused by problems in the measurement device. Copyright (C) 2000 John Wiley & Sons, Ltd.

关键词： air pollution monitoring networks data quality monitoring algorithms changes detection

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