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Paper ID:IJSREM63012

Automation and Real-Time Data Integration for Magnetic Field Testing in Magmeter Manufacturing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM63012

Volume:

10 |

5 |

May 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63012

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Zoish Motiwalla

Zoish Motiwalla

Electronics and Telecommunication Engineering

Progressive Education Society's Modern College of Engineering

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SD

Shrawani Deokar

Electronics and Telecommunication Engineering

Progressive Education Society's Modern College of Engineering

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AK

Anuradha Kasangottuwar

Electronics and Telecommunication Engineering

Progressive Education Society's Modern College of Engineering

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Abstract

In modern industrial testing environments, accurate measurement, real-time monitoring, and secure storage of instrument data are critical requirements. Manual recording of test results often introduces errors, delays, and inconsistencies in data management. This research presents the design and development of a semi-automated instrumentation and real-time data logging system using LabVIEW for industrial measurement applications. The BGM101 Gaussmeter forms the core of the proposed system, connected to a host computer through a USB-COM port and accessed via a manufacturer-supplied DLL integrated into LabVIEW. Raw magnetic flux readings are processed within LabVIEW to extract DC mean, peak, and range values, which are then written into a MySQL database with automatic timestamps. The developed system eliminates manual logging, improves measurement consistency, reduces operator intervention, and provides a scalable architecture for future industrial automation. Experimental results demonstrate reliable real-time acquisition, visualization, and database storage of measurement parameters, validating the effectiveness of the proposed approach.

KEYWORDS

Key Words: LabVIEW Industrial Automation BGM101 MySQL Data Acquisition Serial Communication Real-Time Monitoring.

Cite This Article

Zoish Motiwalla, Shrawani Deokar, Anuradha Kasangottuwar, "Automation and Real-Time Data Integration for Magnetic Field Testing in Magmeter Manufacturing," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-6, May 2026. https://doi.org/10.55041/IJSREM63012

Full Article/Conclusion

This paper described the design and testing of a semi-automated magnetic field data logging system built around the BGM101 Gaussmeter and LabVIEW. The core contribution is the integration of a proprietary DLL-based instrument interface with a relational database backend — a combination not widely reported in existing literature for this class of instrument.   Experimental runs confirmed one-second logging intervals, zero communication failures during testing, and DC mean values stable in the 0.000919 T to 0.000922 T range under consistent field conditions. The MySQL database accumulated records with accurate timestamps throughout, validating the end-to-end data path from instrument probe to stored record.   Future work will extend the system to include threshold-based pass/fail logic directly in the LabVIEW VI, automated report generation from the MySQL data, and full deployment of the React operator dashboard on the production floor at Krohne Marshall Pvt. Ltd.

References

[1] J. Travis and J. Kring, LabVIEW for Everyone, 3rd ed. Pearson Education, 2007.   [2] National Instruments, “LabVIEW User Manual,” NI Publications, 2024.   [3] P. Horowitz and W. Hill, The Art of Electronics, 3rd ed. Cambridge University Press, 2015.   [4] Oracle Corporation, “MySQL Reference Manual,” Oracle Documentation, 2025.   [5] BELL Technologies, “BGM101 Gaussmeter User Manual,” Product Documentation, 2024.   [6] X. Zhang, "The real-time monitor system based on LabVIEW," 2012 International Conference on Computer Science and Electronics Engineering (ICCSEE), Hangzhou, China, 2012, pp. 570-573, doi: 10.1109/ICCSEE.2012.106.   [7] S. Q. Liu, Z. S. Ji, Y. Wang and Z. C. Zhang, "Real time state monitoring and fault diagnosis system for motor based on LabVIEW," 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, 2019, doi: 10.1109/ITAIC.2019.8969523.   [8] A. Konovalov et al., "Industry 4.0 LabVIEW Based Industrial Condition Monitoring System for Industrial IoT System," 2020 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 2020, doi: 10.1109/IAICT50021.2020.9073068.   [9] J. Pelegrí-Sebastiá, J. Sogorb and T. Sogorb, "DC Digital Gaussmeter Based on Linear Hall-Effect Sensor IC," 2019 IEEE SENSORS, Montreal, QC, Canada, 2019, doi: 10.1109/SENSORS43011.2019.8905856.   [10] R. Hejtmanek and J. Roubal, "Reducing the Noise Level in a Gaussmeter with a Hall Probe for Reliable Magnetic Impedance Tomography," 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Dubrovnik, Croatia, 2020, doi: 10.1109/I2MTC43012.2020.9017573.

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Publication Date

5/10/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

Funding Agency: Krohne Marshall Pvt. Ltd.

Grant / Project ID: na

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