Hao Wu, Xianglong Ma, Yuxin Sun, Jing Lin, Jiangang Ji
This paper addresses critical metrological challenges in marine power systems—including measurement deficiencies for 23 key parameters, digital fragmentation hindering cross-system data integration, and inconsistent standardization across lifecycle phases. This paper proposes a Cloud-Edge-Device Integrated Architecture with five functional strata: the Data Layer consolidating laboratory/vessel datasets, the Perception Layer enabling edge-computing acquisition via adaptive tools, the Platform Layer standardizing metadata through API services, and the Application Layer deploying predictive...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.036
· Download
Khaled M. Ahmed, Ali Q. Alanbari, Abdullah S. Alosaimi
A web-based uncertainty calculator for metrology professionals is presented in this paper. The system incorporates a Monte Carlo (MC) engine in accordance with GUM Supplement 1 and optimal first-order propagation that complies with the Guide to the Expression of Uncertainty in Measurement (GUM). A case study, algorithms, and architecture are described in detail. The findings demonstrate enhanced transparency, clear report generation (in PNG/PDF format) suitable for ISO/IEC 17025 documentation, and strong agreement between analytical propagation and MC evaluation. The benefits of integrating...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.035
· Download
Khaled M. Ahmed, Mohammad D. Almelfi
The transition to digital metrology requires structured and machine-readable data for traceable measurement systems. This article presents a methodology for developing machine-readable data formats IES/LDT for total luminous flux measurements from Type C goniophotometers. A proposed data model aligns with digital calibration certificate (DCC) projects, enabling improved traceability, automation, and interoperability. IES (Illuminating Engineering Society) files are ASCII text files that contain photometric data for lighting fixtures. They are machine-readable and contain detailed information...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.034
· Download
Marian-Andrei Vieru, Cristian-Gyözö Haba
Artificial lighting in the hospital areas is equally essential for medical staff, patients, and their visitors. Adequate lighting can have beneficial effects on human health by contributing to the patient’s recovery process and also increasing the performance and efficiency of medical staff. In contrast, inappropriate lighting generates harmful effects on health and well-being. Thus, parameters such as luminous intensity, luminance, luminous flux, and illuminance provide information regarding the lighting system. Therefore, determining these parameters is a key factor in establishing and...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.033
· Download
Federico Fina, Massimo Piotto, Simone Contardi, Fabio Leccese
In this paper, we propose a method of data collection from different sensors through a software developed by Sensichips srl, SLM-Studio, which can then be compared with MLP machine learning models trained through training data available on the Sensichips website. The measurements performed by the SCW water sensors, the SCA air sensors and the SCP multispectral sensor can be applied in different fields of precision agriculture ranging from irrigation water monitoring to the health status of plants and soils up to the monitoring of the chemical-physical conditions of the air.
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.032
· Download
Enrico Picariello, Francesco Picariello, Ioan Tudosa
Operators’ well-being is essential to implement the Industry 5.0 framework. To this end, this paper presents the first experimental results of a wearable IoT system for monitoring the muscle fatigue of operators on assembly lines. The system is completely modular and composed of 4 subsystems: i) a system for the acquisition of physiological signals, an IMU-based system for the acquisition of inertial data, an RFID glove for tag recognition, and an Indoor Positioning System for the evaluation of operators’ movement. For each task, operators can express a fatigue rating from 1 to 5, and a...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.031
· Download
Cai Qingwei, Francesco Pilati, Francesca Calabrese, Matteo Zendri
In the Industry 4.0 era, the focus has been on replacing human operators with industrial robots to reduce labors costs. However, it has led to various social and environmental challenges. Industry 5.0 aims to enhance human-robot collaboration (HRC) in intelligent manufacturing environments, promoting both efficiency and flexibility while prioritizing human operators’ health and well-being. This study reconfigures a new HRC systems, optimizes layout, and introduces a new Internet of Things (IoT) structure to monitor human-centric manufacturing processes. By utilizing medical-grade sensors for...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.030
· Download
Nina Perić, Moulham Alsuleman, João Gregório, Paul Duncan, Michael Chrubasik
Pharmaceutical manufacturing involves complex, highly regulated processes that generate large volumes of heterogenous data. While highly valuable, this data is often siloed across systems and not easily interoperable, limiting its useability for provenance, advanced analytics and AI as well as automated decision-making processes. This paper presents a semantic technology driven use case to address these issues through the integration of a pharma-based digital architecture with established domain ontologies to support intuitive, semantically rich queries over manufacturing data. The work...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.029
· Download
Nicola Zingirian, Marco Profeti, Federico Botti
Integrating process-support functionalities within legal for trade-certified metering heads is a significant challenge in the digital transformation of industrial metering. In this context, we present a virtualized software architecture successfully implemented on the TEX® electronic metering head by IDEX/Sampi S.p.A., a commercially available, legally certified metrological device. The resulting system includes a host machine running legal metrology software and a virtualized guest machine managing auxiliary functions, which may be developed by third-party integrators. The guest handles the...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.028
· Download
Martin Koval, Gertjan Kok, Maximilian Gruber, Shahin Tabandeh, Martin Staněk
Distributed sensor networks (DSNs) are increasingly being deployed in various systems, indicating a more active implementation of digitalisation in the field of metrology. DSNs bring a wide range of benefits in the management of processes, where we are now looking not only at real-time monitoring, but also at advanced process optimization based on efficiently acquired data, support in the creation of digital twins, the prediction of future states such as calibration or service maintenance, the usage of artificial intelligence, and much more. For DSNs to operate efficiently and reliably, it...
TC6 M4Dconf2025
· TC6
· 2025
· 10.21014/tc6-2025.027
· Download