Exploring Quantum Sensing Potential for Systems Applications

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 31569 - 31582

Published: Jan. 1, 2023

The current rise of quantum technology is compelled by sensing research. Thousands research labs are developing and testing a broad range sensor prototypes. However, there lack knowledge about specific applications real-world use cases where the benefits these sensors will be most pronounced. This study presents comprehensive review state-of-practice. It also provides detailed analysis how overcomes existing limitations sensor-driven systems' precision performance. Based on over 500 prototype reports, we determined four groups discussed their readiness for commercial usage. We concluded that magnetometry optics advanced technologies with empirically proven results. In turn, timing kinetics still in early stages practical validation. addition, defined systems domains which offer solution conventional technologies. These 1) GPS-free positioning navigating services, 2) time-based operations, 3) topological visibility, 4) environment detection, prediction, modeling. Finally, constraints offered directions future

Language: Английский

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Space Weather Effects on Transportation Systems: A Review of Current Understanding and Future Outlook

Space Weather, Journal Year: 2024, Volume and Issue: 22(12)

Published: Dec. 1, 2024

Abstract Space weather events, including solar flares, coronal mass ejections, and geomagnetic storms, have significant effects on various transportation systems. This review provides a comprehensive examination of the current understanding future outlook space air, maritime, railway, ground transportation. It explores mechanisms through which causes communication blackouts, satellite navigation failure, elevated cosmic radiation, geomagnetically induced currents, leading to disruptions in operations. Historical events are analyzed underscore diversity severity these impacts. Additionally, this discusses anticipated challenges posed by upcoming maximum Solar Cycle 25 highlights need for improved forecasting, mitigation strategies, resilient infrastructure safeguard systems against threats. By integrating findings from recent studies historical data, aims enhance preparedness response strategies sector face evolving risks.

Language: Английский

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Implementation of Global Navigation Satellite Systems in Railway Traffic Control Systems: Overview of Navigation Systems, Application Areas, and Implementation Plans

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 356 - 356

Published: Jan. 2, 2025

This article characterizes and presents Global Navigation Satellite Systems in relation to rail transportation applications. Due the review character of this article, a synthesis literature discussing issues related possibility implementing satellite positioning systems framework their use management control railway traffic was made. On basis review, area potential implementation identified, as well assumptions regarding architecture such being defined, along with definition criteria for assessing impact on safety. The purpose above is direct development guidance that enable precise localization vehicles, thereby optimizing infrastructure through efficient cost-effective systems. goes characterize existing future directions new constellations. last twenty years scientific publications subject research Based state art results analysis, it determined most frequently mentioned European Train Control System, functionality which enables process based so-called moving block spacing. current knowledge will those responsible modern direction traffic.

Language: Английский

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Transforming the maintenance of underground infrastructure through Digital Twins: State of the art and outlook

Tunnelling and Underground Space Technology, Journal Year: 2025, Volume and Issue: 161, P. 106508 - 106508

Published: March 6, 2025

Language: Английский

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Digitalization as an Enabler in Railway Maintenance: A Review from “The International Union of Railways Asset Management Framework” Perspective

Infrastructures, Journal Year: 2025, Volume and Issue: 10(4), P. 96 - 96

Published: April 11, 2025

This paper conducts a comprehensive review of the role digitalization in railway maintenance management, particularly through lens International Union Railways (UIC) asset management framework. The study aims to assess how digital technologies such as Big Data, Internet Things (IoT), and Artificial Intelligence (AI) serve enablers for more efficient effective practices sector. By employing bibliometric analysis, we identify current trends, challenges, gaps literature concerning integration tools into frameworks. findings reveal that while offers significant potential optimizing operations enhancing decision-making processes, its successful implementation requires integrated approach aligns with strategic goals organizations. also discusses future research directions, emphasizing need global framework incorporating technological advancements organizational change achieve sustainable safe operations.

Language: Английский

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Dynamic Sustainable Processes Simulation to Study Transport Object Efficiency

Infrastructures, Journal Year: 2022, Volume and Issue: 7(9), P. 124 - 124

Published: Sept. 19, 2022

The development of reliability theory has led to the setting tasks requiring consideration efficiency and functional safety technical objects transport over life cycle. paper demonstrates possibility using universal laws elastic wave describe natural phenomena occurring in complex dynamic systems, on examples solving issues arising interaction rolling stock railway track. accounting time component ability waves propagate energy space allowed considering any process as a chain processes, incidence-reflection-refraction force impulses interaction. Understanding physics processes that occur while performing their intended functions allows developers improve such way minimize cycle cost maximize perform under different operating conditions. In addition, it expansion existing methods approaches diagnostics systems. All this is base for making possible develop an innovative effective tool engineers scientists assess impact technosphere human habitats.

Language: Английский

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Identification of optimal accelerometer placement on trains for railway switch wear monitoring via multibody simulation

Frontiers in Built Environment, Journal Year: 2024, Volume and Issue: 10

Published: May 9, 2024

Accelerometers play a crucial role in the railway industry, especially track monitoring. Traditionally, they are placed on tracks or often bridges to monitor health and condition of infrastructure. Recently, there has been an increased focus using regular trains Often, sensors based certain assumptions without much scientific evidence support. This paper utilizes multibody simulation software GENSYS identify optimal placement accelerometers passenger train for monitoring switch wear. Switch wear profiles were generated systematically used as input simulations, studying acceleration at total 93 locations distributed among wheelsets, bogies, carbody. Based both time frequency domain analyses, sensor identified, generally close first bogie wheelset leading Accelerations by passing can also be captured carbody, but it is important note that these several orders lower magnitude compared wheelset. If correct sensitivity must chosen, high-pass filter should applied capture signals associated with The study confirms direct correlation between depth acceleration. It remains effective even under various curve radii speeds.

Language: Английский

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Innovation Adaptive UKF Train Location Method Based on Kinematic Constraints

Electronics, Journal Year: 2024, Volume and Issue: 13(19), P. 3958 - 3958

Published: Oct. 8, 2024

To address the issue of reduced positioning accuracy caused by satellite signal interruptions when trains pass through long tunnels, a novel train method based on an innovative adaptive unscented Kalman filter (UKF) under kinematic constraints is proposed. This aims to improve location during operation. By considering dynamic characteristics train, kinematic-constrained inertial navigation system (INS)/odometer (ODO) combination established. utilizes correct accumulated errors INS. Additionally, algorithm incorporates real-time estimation measurement noise covariance using innovation sequences. The updated applied within UKF framework for nonlinear filtering, forming algorithm. At each time step, difference between ODO sensor data and INS output used as input algorithm, enabling global estimation. process ultimately yields actual result train. Simulation results demonstrate that method, incorporating constraints, effectively mitigates impact interruptions. Compared with traditional INS/ODO reduces position 34.35% speed 36.33%. Overall, this enhances accuracy, minimizes errors, meets requirements modern systems.

Language: Английский

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A Digital Track Map-Assisted SINS/OD Fusion Algorithm for Onboard Train Localization

Applied Sciences, Journal Year: 2023, Volume and Issue: 14(1), P. 247 - 247

Published: Dec. 27, 2023

Accurate and reliable speed position estimation plays an important role in the safety efficiency of intelligent railway vehicles. Due to level required safety, reliability, strong norms current practical application, vehicle positioning heavily relies on a large number balises laid track onboard odometer (OD), while other method, GNSS introduction, is relatively slow. This article proposed digital map-assisted location system using strapdown inertial navigation (SINS) OD. The method consists two steps. First, SINS- OD-integrated based OD velocity integration inner circle. Then, map-matching algorithm vertical projection heading weighting was employed, when matching outer circle results were obtained, positions obtained from circles used replace SINS/OD for Kalman filter combination. performance our verified field tests, SINS/OD/MM comparison data processing prove that can effectively suppress accumulation train errors. After nearly 80 km navigation, error 24 m, relative mileage accuracy less than or equal 0.03% distance.

Language: Английский

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Augmented Asset Management in Railways

Published: Jan. 1, 2024

Railways are the backbone of modern transportation infrastructure, and managing railway assets is a complex process that requires significant investment in resources, technology, expertise. Augmented asset management an emerging concept leverages advanced technologies such as AI digitalisation to optimise utilisation, reduce costs, improve operational efficiency, enhance safety. Asset railways increasingly focused on optimising its operations, reducing improving plays critical role achieving these goals by ensuring rail infrastructure rolling stock well-maintained, reliable, safe. One major trends adoption enhanced analytics predictive maintenance techniques. By leveraging data from sensors, monitoring systems, other sources, operators can identify potential issues before they become problems, allowing them schedule more effectively minimise downtime. Factory/RAILWAY (AIF/R) novel technology platform developed years research conducted. The vision AIF/R initiative contribute achievement sustainable, human-centric, resilient excellence industry through utilisation digital Artificial Intelligence (AI). has special focus aspects of: (a) enablement mechanisms for sharing models between mining stakeholders; (b) development toolkit context-aware needs-based information-driven analytics; (c) necessary cybersecurity; (d) new innovative business models; (e) enable including AI-based.

Language: Английский

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