Verifying Measurement Uncertainties for Every Test Point Against Your Lab’s ISO/IEC 17025 Scope of Accreditation
Digitalization of business processes is essential for future metrology, and all stakeholders, such as calibration labs, customers, and Accreditation Bodies (ABs), will need to move into the 21st century. A critical use-case for digitization is the process of verifying measurement uncertainties on an accredited certificate of calibration.
To accomplish this, we need digital representations of a Scope of Accreditation (SoA) containing a calibration lab’s calibration measurement capabilities (CMC). But digitization is more than just a lab’s PDF copy of their SOA found on the Accreditation Body’s (AB) website.
Using the NCSLI 141 MII Committee’s beta version of a “Metrology Taxonomy” database used for creating a digital version of a Scope of Accreditation, it is now possible for a computer to verify every test point’s measurement uncertainty against the Lab’s SoA. This paper will demonstrate the steps required (with sample code) to modify a Digital Calibration Certificate (DCC) by adding taxonomy tags, using those tags to compare the uncertainties in the DCC against the measurement uncertainties in the lab’s SoA, and then show the user what, if any, measurement uncertainties are not in accordance with the lab’s SoA.
Verifying Measurement Uncertainties for Every Test Point
NCSLI-2023 | Orlando, FL
Low-Code to No-Code: A Software Development Revolution
Now we are witnessing the next evolution in software development: the “Low-Code to No-Code Revolution.” This is going to be a game-changer—even bigger than Object-Oriented Programming (OOP). Today novice programmers can create powerful applications with little to no knowledge of how microprocessors work. Simply express what you want the computer to do in a variety of formats and a tool will either write or help you write the code for you.
Low-Code to No-Code: A Software Development Revolution
Quality Magazine | May 5, 2021
An MII-Aware SoA Editor for the Industrial Internet of Things
Scope of Accreditation (SoA) is a detailed official statement that certifies a calibration laboratory (CL) for the services it provides. The central part of the accreditation process encompasses the assessment and formulation of the SoA. The traditional workflow for an accreditation process for a CL follows a time-consuming and costly procedure. Also, based on the traditional procedure, the interconnection of the customer, CL, and accreditation body is not entirely traceable. The Measurement Information Infrastructure (MII) working group has done foundational work related to digitalizing the SoA activities. In this article, an editor for SoA that works in the context of MII and together with its software components is presented. Based on the proposed architecture for the Internet of Measurement Things to bring the calibration industry and the Internet of Things together, a proposal for the accreditation process is put forth.
An MII-Aware SoA Editor for the Industrial Internet of Things
Workshop on Metrology for Industry 4.0 and IoT | June 4-6, 2019 | Naples, Italy
Creating Sustainable Metrology Software
We are currently in a 30 year old software rut. There is nothing new on the market designed specifically for metrology. This paper is on both the direction the rest of the software industry is headed and how we adapted those trends to metrology software problems. This paper outlines how we de-siloed our software development and moved to a more sustainable solution.
Creating Sustainable Metrology Software
CAL LAB: The International Journal of Metrology | Vol. 26:2 (Apr-Jun 2019)
Using Metrology.NET® to Calculate ISO/IEC 17025 Uncertainties for Fluke MET/CAL®
Abstract: Writing automated calibrations and controlling test equipment is easy. But once you have the automation working, now it’s time to calculate the uncertainties. Often calculating uncertainties and documenting the results takes longer than writing the actual procedure. Then there are the changes to the calculations, changes in customer requirements, as well as industry regulations and standards. All of this takes time away from creating automation. This paper will show you how to offload the task of calculating measurement uncertainties to a Metrology.NET service call, and how this division of tasks in software allows the programmer to focus on writing automation and the quality/metrology engineer to focus on uncertainties. By using a REST based service call, the quality engineer doesn’t have to learn to program, nor is the programmer required to learn all the details about the uncertainty calculation. Best of all, this REST call technique can be added to any software language, such as MET/CAL®, SureCal®, LabView® or any Metrology.NET® system.
Using Metrology.NET® to Calculate ISO/IEC 17025 Uncertainties for Fluke MET/CAL®
CAL LAB: The International Journal of Metrology | Vol. 24:3 (Jul-Sep 2017)
Creating a Standardized Schema for Representing ISO/IEC 17025 Scope of Accreditations in XML Data
Abstract: This paper discusses the progress made in a proof-of-concept effort to develop a standardized way of expressing a calibration laboratory’s capabilities and ISO/IEC 17025 Scope of Accreditation (SOA) in an XML format. The goal is to define a standardized schema for representing A2LA, NVLAP and other SOAs in a digital format. Once established, the metrology community can move from manually verifying uncertainties to a more automatable approach. This Metrology.NET® formatted XML database can then be used to generate a traditional SOA document. It can also be used to safeguard against laboratories reporting uncertainties that don’t comply with their SOA.
NCSLI 2016 Digital SOA Brief Paper
NCSLI 2016 Digital SOA Brief Presentation
NCSLI Workshop & Symposium | July 26, 2016 | Saint Paul, MN
How to Add Dynamic Measurement Uncertainties to Any Metrology Software
Changing the approach to measurement uncertainties allows software systems and users to share the same resources.
How to Add Dynamic Measurement Uncertainties to Any Metrology Software
Quality Magazine | October 2015
Metrology.NET™ – ISO 17025 Uncertainty Calculations
A slide presentation showing how to perform uncertainty calculations in Metrology.NET™, using Microsoft® Excel files and REST calls to communicate with the built-in Uncertainty Calculator.
ISO 17025 Uncertainty Calculations
Onur ÇETİNER, M.Sc.EE
Spark Kalibrasyon Hizmetleri Ltd. Şti.
An Enterprise Resource View of Metrology Software Systems
Abstract: Software running on a single computer or platform is a thing of the past. Today’s metrology software needs to be scalable, flexible, and dynamic. It must be designed to integrate with enterprise business systems, taking full advantage of distributed computing and service-oriented protocols. It is time to recalibrate our assumptions of efficiency, accuracy, and flexibility. We live in a connected world. While that world is slowly becoming the “The Internet of Things,” many of those things are network-enabled measurement instruments.
NCSLI-SOA-Presentation
An Enterprise Resource View of Metrology Software Systems
NCSLI Workshop & Symposium | July 30, 2014 | Orlando, FL