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Page 24 of 977 Results 231 - 240 of 9762

Sunantiya Parana, Nititorn Kenyota, Narueson Nanna, Praiya Thongluang, Narin Chanthawong, Jariya Buajarern
Digitalization of Calibration Workflow at National Institute of Metrology Thailand (NIMT)

This paper presents the strategic digital transformation of workflows at the National Institute of Metrology Thailand (NIMT). The implementation of digital technologies has significantly reduced human errors, enhanced accuracy, and increased transparency in data handling. NIMT has proactively developed and deployed digital platforms across the organization to support this transformation. A key outcome of this initiative is the Equipment Management and Tracking System (EMTs), developed in alignment with ISO/IEC 17025, which enables efficient electronic management of measurement instruments. The integration of technologies such as Optical Character Recognition (OCR) and Digital Calibration Certificates (DCC) has further improved data accuracy and reduced processing time. In support of quality assurance, NIMT is also planning to develop a digital system to enhance its audit processes and ensure continued compliance with quality standards. This digital shift not only strengthens NIMT’s operational capabilities but also aligns Thailand’s measurement infrastructure with international metrological practices.

Hiroshi Watanabe, Yoshitaka Shimizu, Katsuhiro Shirono, Toshiyuki Fujimoto
Digitalized Third-Party Validation for Calibration Service: a System Design Example

We present a new case study of digitalized third-party validation for a calibration service of purity. The third-party validation is an add on to the calibration service, conducted by a third party independent from laboratory and customers, aiming at assuring quality of results. The case features frequent validations, and information leakage-free by checking data within the laboratory rather than externally, that have not been addressed in the previous cases. We describe the design and implementation of the system.

Tatyana Sheveleva, Gisa Foyer
Measurement Data and Information of Non-Automatic Weighing Instruments as Structured Data

The successful digitization of documents in conformity assessment, e.g. for calibration and test, requires both the compliance with different requirements and the use of a unified machine-readable data structure. A well-known example is the data structure for the Digital Calibration Certificate (DCC). Its use is proposed by the German Calibration Service (DKD) in its Report DKD-E 7-3 for the digitization of calibration certificates for non-automatic weighing instruments (NAWIs). An analysis has been carried out to check whether the proposal can be applied to OIML R 76 test reports. By comparing the measurement data and information in both types of documents, similarities and differences in the content description were identified. The following publication gives an overview of this analysis and its results and provides suggestions for the description of the test reports using the DCC.

Jeremy Latsko, Michael Brockway, Salvatore Capra, Evan Elliott
Digital Transformation for the United States Air Force Metrology and Calibration Program

The United States Air Force (USAF) Metrology and Calibration program's mission is to ensure USAF readiness through the accuracy, reliability, and traceability (A-R-T) of 700k units of Measurement & Test Equipment (M&TE). While our operations are extensive—500k annual calibrations across 65 global labs—current limitations in data capture, infrastructure, and analytical capabilities prevent us from fully leveraging our data for a modern, data-driven, proactive Quality Infrastructure (QI). Consequently, this paper explains capability gaps between our current and desired end state QIs, the resultant Digital Transformation (DT) strategy, and its technical implementation. This DT strategy will revolutionize our metrology operations, fundamentally improving the quality of A-R-T, and therefore further ensuring USAF readiness.

Robson S. da Silva, Roberto A. Filho, Marcos Oliveira Junior, Eduardo Mario Dias, Maria Lídia Rebello Pinho Dias
Knowledge Management foundations in the Design of the São Paulo State Institute of Weights and Measures (IPEM-SP) Quality Infrastructure Portal: Strategies and Challenges

This paper presents the conceptual, methodological, and technological foundations for a Knowledge Management (KM) model aimed at the digital transformation of the Quality Infrastructure (QI) ecosystem. As a case study, it examines the Quality Infrastructure Services Portal (PSIQ), currently under development by the Sao Paulo State Institute of Weights and Measures (IPEM-SP), at Technology Readiness Level 2 (TRL2). Using a qualitative, exploratory, and applied approach, the study supports the transition of the portal to TRL3. Classical KM models (SECI, DIKW, APO, and Cynefin) are employed to structure knowledge flows, while enabling technologies—such as Intelligent Virtual Assistants, Semantic Search, Big Data & Analytics, and Robotic Process Automation—are mapped to sustain operationalization. The results indicate that PSIQ can function as a cognitive digital platform for regulatory knowledge, institutional memory, interoperability, and strategic learning. The paper concludes with recommendations to consolidate KM as a strategic function in the digital transformation of QI in Brazil.

Volker Zeuner, Gulian Couvreur
Metrological AI Reliability Verification

Applications based on Artificial Intelligence (AI) are becoming useful tools in Metrology. The ability of, e.g., managing big amounts of devices or analysing Big Data using AI Applications (in the sense of Software) raises speditivity and accuracy of gaining metrological results as well as facilitates metrological analyses on a new scale. When AI is involved in measurement, decision making, classification, etc., it must be assured that the results are transparent, reproducible, comparable, and traceable, corresponding to the established metrological measurement requirements. Hence, the operation of AI Applications in Metrology should be subject to prior and periodic verification, regarding a classification of the AI types and their use scenarios (e.g., in Legal Metrology), their usage, and the expected results thereof.

Justin Jagieniak, Shan Lin, Moritz Jordan, Muhammed-Ali Demir, Lutz Doering, Thomas Engel, Wiebke Heeren, Jan Loewe, Shanna Schönhals, Siegfried Hackel
The DX schema as a modular concept for metrological certificates and reports

The Digital Calibration Certificate (DCC) has been the first metrological quality-related document that has undergone a thorough analysis and requirements assessment process in order to develop a fully machine-actionable digital process that fulfills the requirements of ISO 17025. During this, still ongoing, process, the demand for a more modular approach to digital quality documents has become obvious. The paper introduces the DX schema, which is the conceptual basis for the future DCC version 4 and other digital certificates, reports, and documents related to metrology, conformity assessment, and a process-oriented digital quality infrastructure. In addition, the paper introduces some examples of digital certificates and reports which will potentially benefit from the DX.

Saad A. Bin Qoud, Fahad A. AlMuhlaki, Rayan A. AlYousefi, I. AlFaleh, N. Qahtani, Lama M. AlBugami, Rawan A. AlMutairi, Khaled G. AlGhizzi, Raed H. AlShabatat, A. El-Matarawey
SASO Uncertainty Machine - Advanced Pythonic ML Algorithm for Estimating Uncertainty in General Calibration Services at Saudi Standards, Metrology, and Quality Organization-SASO-KSA

The missions of the National Metrology Calibration Centre (NMCC) at the Saudi Standards, Metrology, and Quality Organization (SASO), as a national metrology institute, are to maintain, disseminate, develop, and realize the International SI units. Among the services offered by the laboratories is routine calibration, covering nearly all fields and sectors such as industrial, medical, and environmental applications. This work aims to digitize a web-based software application to evaluate the measurement uncertainty associated with a measured quantity for all types of model functions (linear, non-linear, polynomial, logarithmic, etc.) relevant to calibration, testing, accreditation, verification, and validation services. A Python-based machine learning algorithm was developed in accordance with the requirements of JGCM-100 to provide the user with a comprehensive report on the experiment and measurement uncertainty in three main steps. The validation of the automated algorithm was carried out on five examples from the JGCM standard, showing complete numerical agreement. This article provides an open-source, step-by-step algorithm as part of the global digital transformation trend in metrology.

Blair Hall, Annette Koo
Pathways to digitalisation at the Measurement Standards Laboratory of New Zealand

Several strategic initiatives undertaken by the Measurement Standards Laboratory of New Zealand in response to the digital transformation of metrology are discussed. While the laboratory does not currently perceive an external demand for the digital delivery of its metrological services, it recognises that change will be required as global support for digital services becomes the norm. To support the longer-term vision of semantic representation of metrological data, a shift will be required from procedural, process-based knowledge capture towards abstract scientific forms. MSL has several initiatives in place to prepare for and facilitate this transition.

Manuela Minetti, Andrea Bonfiglio, Maria Martino, Renato Procopio
Partitioning Algorithm for Integrating Electric Vehicles into Residential Renewable Energy Communities

The rapid growth of Electric Vehicles (EVs) and Renewable Energy Communities (RECs) introduces new challenges in energy management and requires innovative solutions for enhancing local self-consumption. This paper introduces a Virtual Partitioning Algorithm (VPA) for the energy storage systems of EVs, aiming to improve EVs integration within RECs. The VPA improves the use of the available EV storage capacity to increase the economic benefits, and the shared energy of a REC equipped with residential photovoltaic systems or other renewable energy sources. The proposed approach is tested on a realistic case study involving a multi-family housing with a shared photovoltaic installation. Results demonstrate the effectiveness of the VPA in increasing overall gains and increasing both self-consumption and environmental sustainability.

Page 24 of 977 Results 231 - 240 of 9762