Preprints
https://doi.org/10.5194/egusphere-2025-2970
https://doi.org/10.5194/egusphere-2025-2970
21 Jul 2025
 | 21 Jul 2025
Status: this preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).

Software development of an internet-of-things based controlled-source ultra-audio frequency electromagnetic receiver

Xiyuan Zhang, Qisheng Zhang, Zucan Lin, Huiying Li, Xinchang Wang, and Hui Zhang

Abstract. This study addresses the limitations of traditional CSAMT (Controlled-Source Audio-frequency Magnetotellurics) in insufficient shallow-to-medium layer exploration accuracy, complex human-machine interaction, and constrained data transmission in existing electromagnetic instruments. A novel IoT(Internet-of-Things)-integrated CSUMT-R (Controlled-Source Ultra-audio Frequency Electromagnetic Receiver) system is developed. The hardware employs a Zynq multi-core processor architecture, integrating a five-channel ultra-wide band (1 Hz–1 MHz) acquisition system. The software system features a dual-layer architecture combining embedded control and remote monitoring, incorporating dynamic buffer DMA (Direct Memory Access) drivers, distributed hybrid networking technology, IoT technology, and five-channel batch processing algorithms to support high-speed real-time data transmission (up to 320 Mbps) and remote visualization. Field tests in the Fengtai ore cluster area, Shaanxi Province, China, demonstrate stable functionality and high intelligence, meeting demands for complex field exploration.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Xiyuan Zhang, Qisheng Zhang, Zucan Lin, Huiying Li, Xinchang Wang, and Hui Zhang

Status: open (until 12 Sep 2025)

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  • RC1: 'Comment on egusphere-2025-2970', Anonymous Referee #1, 01 Aug 2025 reply
  • CC1: 'Comment on egusphere-2025-2970', Lihua Liu, 03 Aug 2025 reply
Xiyuan Zhang, Qisheng Zhang, Zucan Lin, Huiying Li, Xinchang Wang, and Hui Zhang
Xiyuan Zhang, Qisheng Zhang, Zucan Lin, Huiying Li, Xinchang Wang, and Hui Zhang

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Short summary
We addressed limitations in mineral exploration tools: poor shallow-depth imaging, complex controls, and inefficient data transmission. Our solution combining advanced hardware and intelligent software, it ensures stable high-speed data flow, enables remote control/real-time viewing anywhere, and operates reliably in diverse field conditions. Successfully tested in a Chinese mining area, it provides geologists with a more powerful, user-friendly tool for underground mapping.
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