AUTORFPOWER: Automatic RF Power Measurement Software for Metrological Applications

Çetinkaya, Anıl; Doğan, Aliye Kartal; Danacı, Erkan; Oğuztüzün, Halit

doi:10.1109/iisec54230.2021.9672386

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…AutoRFPower is a desktop application that allows users to perform automatic power measurements on a setup consisting of an RF signal generator, a power sensor, and a power meter [1]. The communication between these devices and a personal computer (PC) used for the measurement is handled using SCPI (Standard Commands for Programmable Instruments) [6] for each device through GPIB (General Purpose Interface Bus) [7].…”

Section: Background 21 Autorfpower Applicationmentioning

confidence: 99%

“…Provision of automated and networked solutions and formulation and dissemination of data standards are essential aspects of this transformation. In this regard, AutoRFPower was developed as a desktop application to automate RF power measurements in our previous work [1]. The application can communicate with the calibration equipment, obtain measurement data from the setup, and perform the uncertainty calculations according to the Guide to the Expression of Uncertainty in Measurement (GUM) [2] and its Monte Carlo Simulation (MCS) method description.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Uncertainty Calculation-as-a-Service: An Iiot Application for Automated Rf Power Sensor Calibration

Çetinkaya¹,

Kaya²,

Danacı³

et al. 2022

Proceedings of the First International IMEKO TC6 Conference on Metrology and Digital Transformation - M4Dconf2022

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Providing automated and networked solutions on the cloud will remarkably facilitate ongoing digitalization efforts in Metrology and the calibration industry. The AutoRFPower application was developed to automate the RF power measurement process and uncertainty calculations. This study presents our ongoing research on moving this application to a cloud environment and adapting it to perform power sensor calibrations. The cloud-based application initiates communication with calibration equipment, transfers test points to the client computer to perform measurement activities locally, and finally transfers the measurement data back to the cloud. Uncertainty calculations are performed on the cloud by a service. The calibration process produces a digital calibration certificate again on the server-side. The structure of the cloud-based application conforms to our previously proposed Internet of Measurement Things architecture, paving the way for digitalization and standardization in Metrology and the calibration industry.

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Section: Background 21 Autorfpower Applicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty Calculation-as-a-Service: An Iiot Application for Automated Rf Power Sensor Calibration

Çetinkaya¹,

Kaya²,

Danacı³

et al. 2022

Proceedings of the First International IMEKO TC6 Conference on Metrology and Digital Transformation - M4Dconf2022

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Uncertainty Calculation as a Service: Integrating Cloud-Based Microservices for Enhanced Calibration and DCC Generation

Cetinkaya,

Kaya,

Danaci

et al. 2024

Sensors

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The calibration industry is renowned for its diverse and sophisticated equipment and complex processes, which necessitate innovative solutions to keep pace with rapidly advancing technology. This paper introduces an enhancement to an existing microservice-based cloud architecture, aimed at effectively managing the inherent complexity within this field. The enhanced architecture seamlessly integrates various equipment types and communication technologies, aligning diverse stakeholder expectations into a unified system that ensures efficient and accurate calibration processes. It highlights the integration of microservices to facilitate various methods of uncertainty calculation and the generation of digital calibration certificates (DCCs). A case study on RF power measurement illustrates the practical application and benefits of the enhanced architecture. Although initially focused on RF power measurement, the flexible architecture allows for future expansions to accommodate new standards and measurement techniques. The enhanced system offers a comprehensive approach to managing data flow from calibration equipment to the final generation of DCCs, utilizing cloud-based services for efficient data processing. As a future direction, this extension sets the groundwork for broader applicability across multiple measurement types, ensuring readiness for upcoming advancements in metrology.

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Uncertainty Evaluation Using Law of Propagation and Monte Carlo Simulation Methods With the Autorfpower Measurement Software

Danacı,

Kartal Doğan,

Çiçek

et al. 2024

KONJES

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RF power measurement is essential in RF and microwave metrology. For reliable and accurate power measurement, automatic measurement is preferred. A software application in C#, named AutoRFPower, was developed for automatic RF power measurement and uncertainty calculations at this study. According to the GUM document, this application is enhanced for uncertainty calculations by utilizing the Law of Propagation method and the Monte Carlo Simulation method. Trial measurements were performed at different RF power levels and frequencies between 50 MHz and 18 GHz using the AutoRFPower software. Law of Propagation and Monte Carlo Simulation uncertainty calculations were carried out by AutoRFPower based on the trial measurements and by the Oracle Crystal Ball simulation application. All measurements and their uncertainty calculations were compared with each other, and this study validated the uncertainty calculation of AutoRFPower. In addition, it was observed that in the Monte Carlo Simulation, uncertainty calculation results were non-symmetrical normal distribution, contrary to the assumption of symmetrical normal distribution according to the Low of Propagation method. Moreover, it has been observed that the statistical distribution of uncertainty changes depending on the dominant component of the parameters in the model function used for the uncertainty calculation with the Monte Carlo Simulation method.

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AUTORFPOWER: Automatic RF Power Measurement Software for Metrological Applications

Cited by 3 publications

References 1 publication

Uncertainty Calculation-as-a-Service: An Iiot Application for Automated Rf Power Sensor Calibration

Uncertainty Calculation-as-a-Service: An Iiot Application for Automated Rf Power Sensor Calibration

Uncertainty Calculation as a Service: Integrating Cloud-Based Microservices for Enhanced Calibration and DCC Generation

Uncertainty Evaluation Using Law of Propagation and Monte Carlo Simulation Methods With the Autorfpower Measurement Software

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