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 maintenance and lifecycle simulation. This framework establishes closed-loop data management for 53 critical parameters, resolving "unmeasurable/inaccurate/incomplete" data issues while implementing robust security via national encryption algorithms, RBAC/ABAC access controls, and blockchain-anchored trusted timestamps. Implementation demonstrates reliability improvement and accelerated design iteration, providing end-to-end metrological support compliant with international maritime standards.

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 about how light is distributed from a fixture, including luminous intensity, distribution angles, and other relevant information. Lighting design tools and rendering software can use this information to accurately simulate how a fixture would behave in a virtual environment. An actual case study from an SASO-NMCC (National Metrology Institute of Saudi Arabia) illustrates how these methods enhance calibration and function with smart lighting systems.

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.

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 real-time collection of physiological data, the system ensures privacy compliance. The collected data are input into a artificial intelligence algorithm to achieve two main objectives: evaluating operator’s health levels and identifying the most efficient movement patterns during the manufacturing process. This research has significant implications for enhancing operator health and well-being in industrial settings.

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 display, keypad, and I/O ports when no measurement is in progress. During measurement, the legal metrology software takes preemptive control to ensure legally relevant pulse counting, visualization of metrological data, printouts via sealed printers, and data storage in a database with read-only access for the guest system. This approach enables software extensibility without requiring frequent re-certifications while maintaining regulatory compliance, data integrity, and system flexibility. The proposed solution advances modern industrial metering, as demonstrated in a real-world use case.