A Real-Time Six-Axis Electromagnetic Field Monitoring System with Wireless Transmission and Intelligent Vector Analysis for Power Environments
Accurate and real-time monitoring of low-frequency electromagnetic field (EMF) is essential in power and industrial environments, yet most conventional approaches still suffer from limited spatial coverage, manual operation, and insufficient digitization. To address these challenges, this paper proposes an intelligent EMF monitoring system that integrates six-axis magnetic field sensing, temperature compensation, vector synthesis, Sub-1 GHz wireless communication, and real-time data visualization. The system supports simultaneous measurement of both AC and DC magnetic fields across the 30 Hz–100 kHz range, with specific optimization for power-frequency conditions (50/60 Hz). Designed with modular integration and low power consumption, it is suitable for portable deployment in field scenarios. Comprehensive laboratory and substation tests demonstrate high accuracy, with maximum measurement errors of 1.17% under zero-field and 1.42% under applied-field conditions—well below the ±5% tolerance defined by international standards. Wireless performance tests further confirm stable long-distance communication, achieving ranges of up to 5 km without significant transmission errors, while overall system measurement error reached as low as 0.015%. These results verify the system’s robustness, fidelity, and compliance with international safety standards. Overall, the proposed platform provides a practical and scalable solution for intelligent EMF monitoring, offering strong potential for deployment in industrial environments and infrastructure-critical applications.
Authors
- Xiaoming Zheng
- Xuecong Li (ORCID: https://orcid.org/0000-0002-4695-2950)
- Meiqi Chen (ORCID: https://orcid.org/0009-0004-9010-7836)
- Zheng Zhang (ORCID: https://orcid.org/0000-0003-1109-1369)
- Yue Wang (ORCID: https://orcid.org/0000-0001-6936-5081)
- Wendong Li (ORCID: https://orcid.org/0000-0002-8357-7539)
- Yong-jin Mai
Institutions
- Guangdong University of Technology (CN)
- Guangzhou University (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-10-07
- DOI
- https://doi.org/10.3390/app151910785
- Primary Topic
- Diverse Interdisciplinary Research Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00