Articles | Volume 10, issue 2
https://doi.org/10.5194/gi-10-141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-10-141-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Jul 2021
| 14 Jul 2021
Internet-of-things-based four-dimensional high-density electrical instrument for geophysical prospecting
Keyu Zhou
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Yongdong Liu
Beijing Geoscience Exploration Technology Co., Ltd, Beijing, China
Zhen Wu
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Zucan Lin
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Bentian Zhao
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Xingyuan Jiang
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Pengyu Li
School of Geophysics and Information Technology, China University of
Geosciences (Beijing), Beijing, China
Related authors
Qimao Zhang, Keyu Zhou, Ming Deng, Ling Huang, Cheng Li, and Qisheng Zhang
Geosci. Instrum. Method. Data Syst., 14, 55–67, https://doi.org/10.5194/gi-14-55-2025, https://doi.org/10.5194/gi-14-55-2025, 2025
Short summary
Short summary
We developed a software system for a high-precision magnetometer platform, specifically designed for human-occupied vehicles (HOVs). The system integrates magnetometers to deliver accurate magnetic field detection, with advanced features such as automatic probe switching and magnetic compensation. The system's performance was validated through rigorous laboratory tests and marine experiments on the Shenhai Yongshi platform.
Zucan Lin, Qisheng Zhang, Keyu Zhou, Xiyuan Zhang, Xinchang Wang, Hui Zhang, and Feng Liu
Geosci. Instrum. Method. Data Syst., 13, 325–336, https://doi.org/10.5194/gi-13-325-2024, https://doi.org/10.5194/gi-13-325-2024, 2024
Short summary
Short summary
This paper describes the development of a controlled-source ultra-audio frequency electromagnetic receiver based on remote wireless communication technology for use in geophysical prospecting. Our design successfully addresses several shortcomings of such instruments currently available on the market, including their weight, limitations in data acquisition frequency, and difficulty in connecting to the internet for remote monitoring.
Keyu Zhou, Qisheng Zhang, Guangyuan Chen, Zucan Lin, Yunliang Liu, and Pengyu Li
Geosci. Instrum. Method. Data Syst., 12, 57–69, https://doi.org/10.5194/gi-12-57-2023, https://doi.org/10.5194/gi-12-57-2023, 2023
Short summary
Short summary
The expendable current profiler (XCP) is a single-use instrument that rapidly measures currents, including the velocity, flow direction, and temperature of seawater. This study improves upon the design of the XCP to reduce the cost of the single-use devices. This has been achieved by adopting signal modulation and demodulation to transmit analog signals on an enamelled wire and digitizing the signal above the surface of the water.
Xiyuan Zhang, Qisheng Zhang, Zucan Lin, Huiying Li, Xinchang Wang, and Hui Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2025-2970, https://doi.org/10.5194/egusphere-2025-2970, 2025
This preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).
Short summary
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.
Hongjie Zheng, Yongqing Wang, Qisheng Zhang, Zewen Li, and Lin Chao
EGUsphere, https://doi.org/10.5194/egusphere-2025-2884, https://doi.org/10.5194/egusphere-2025-2884, 2025
This preprint is open for discussion and under review for Geoscientific Instrumentation, Methods and Data Systems (GI).
Short summary
Short summary
Our research has developed a new algorithm to improve microseismic signal picking in oil and gas exploration. We use a group theory-based optimization algorithm (GTOA) for signal clustering, combined with the Akaike Information Criterion (AIC) for precise signal picking. Experiments demonstrate that the GTOA algorithm shows better clustering performance across multiple datasets, and the designed algorithm achieves more accurate signal picking under low signal-to-noise ratio conditions.
Qimao Zhang, Keyu Zhou, Ming Deng, Ling Huang, Cheng Li, and Qisheng Zhang
Geosci. Instrum. Method. Data Syst., 14, 55–67, https://doi.org/10.5194/gi-14-55-2025, https://doi.org/10.5194/gi-14-55-2025, 2025
Short summary
Short summary
We developed a software system for a high-precision magnetometer platform, specifically designed for human-occupied vehicles (HOVs). The system integrates magnetometers to deliver accurate magnetic field detection, with advanced features such as automatic probe switching and magnetic compensation. The system's performance was validated through rigorous laboratory tests and marine experiments on the Shenhai Yongshi platform.
Zucan Lin, Qisheng Zhang, Keyu Zhou, Xiyuan Zhang, Xinchang Wang, Hui Zhang, and Feng Liu
Geosci. Instrum. Method. Data Syst., 13, 325–336, https://doi.org/10.5194/gi-13-325-2024, https://doi.org/10.5194/gi-13-325-2024, 2024
Short summary
Short summary
This paper describes the development of a controlled-source ultra-audio frequency electromagnetic receiver based on remote wireless communication technology for use in geophysical prospecting. Our design successfully addresses several shortcomings of such instruments currently available on the market, including their weight, limitations in data acquisition frequency, and difficulty in connecting to the internet for remote monitoring.
Feng Guo, Qisheng Zhang, and Shenghui Liu
Geosci. Instrum. Method. Data Syst., 12, 111–120, https://doi.org/10.5194/gi-12-111-2023, https://doi.org/10.5194/gi-12-111-2023, 2023
Short summary
Short summary
We propose a new type of power station unit with wireless data transmission capability, which was not supported by same type of instrument as on the market. Based on this, a novel distributed geophysical data acquisition architecture is also proposed. The proposed instrument loads more stations than the industry-leading LAUL-428 while providing additional wireless data transmission and narrowband Internet of Things remote control.
Keyu Zhou, Qisheng Zhang, Guangyuan Chen, Zucan Lin, Yunliang Liu, and Pengyu Li
Geosci. Instrum. Method. Data Syst., 12, 57–69, https://doi.org/10.5194/gi-12-57-2023, https://doi.org/10.5194/gi-12-57-2023, 2023
Short summary
Short summary
The expendable current profiler (XCP) is a single-use instrument that rapidly measures currents, including the velocity, flow direction, and temperature of seawater. This study improves upon the design of the XCP to reduce the cost of the single-use devices. This has been achieved by adopting signal modulation and demodulation to transmit analog signals on an enamelled wire and digitizing the signal above the surface of the water.
Qimao Zhang, Shuaiqing Qiao, Qisheng Zhang, and Shiyang Liu
Geosci. Instrum. Method. Data Syst., 10, 91–100, https://doi.org/10.5194/gi-10-91-2021, https://doi.org/10.5194/gi-10-91-2021, 2021
Short summary
Short summary
In order to meet the needs of geophysical exploration, the requirements of intelligent and convenient exploration instruments are realized. From the perspective of software, this research combines today's wireless transmission technology to integrate applications into mobile phones to realize remote control of field operations. It provides a new idea for geophysical exploration.
Cited articles
Chen, M., Meng, Y., Wang, J., and Liu, M.: Geological hazards monitoring system
based on IoT, Science and Technology Information, 13, 111–117, 2015.
Di, Q., Ni, D., Wang, R., and Wang, M.: High-density resistivity image,
Prog. Geophys., 18, 323–326, 2003.
Dong, H. and Wang, C.: Development and application of 2D resistivity
imaging surveys, Earth Sci. Front., 10, 171–176, 2003.
Dong, Y. R. and Nie, Y. F.: Researches and designs on smart vehicles parking
system based on NB-IoT, J. Nanchang Hangkong University (Natural Sciences),
3, 95–99, 2017.
Gu, X., Nie, X., Zhou, J., and Wang, J.: Groundwater flow rate and direction
detecting through high density electrical method instrument, Coal Geology of
China, 22, 83–85, 2010.
He, C. L., Shen, M. X., Liu, L. S., Yang, J., and Shi, H.: Design and
realization of a greenhouse temperature intelligent control system based on
NB-IoT, J. South China Agricultural University, 2, 117–124, 2018.
Ji, Q.: An automatic test system based on GPIB with VB language, Shanghai
Measurement and Testing, 2008, 8–10, 2008.
Jia, J., Ma, H., Cai, X., Chen, B., and Shen, S.: Geohazard monitoring and
management system based on IoT and 3D GIS, Journal of Yangtze River
Scientific Research Institute, 33, 142–144,
https://doi.org/10.11988/ckyyb.20150245, 2016.
Li, G. G., Li, X. W., and Wen, X. C.: Influence of Internet of Things
technology on the development of automatic environmental monitoring system,
Environmental Monitoring in China, 1, 5–10, 2011.
Li, W., Zhang, Q., Zhang, Q., Guo, F., Qiao, S., Liu, S., Luo, Y., Niu, Y., and Heng, X.: Development of a distributed hybrid seismic–electrical data acquisition system based on the Narrowband Internet of Things (NB-IoT) technology, Geosci. Instrum. Method. Data Syst., 8, 177–186, https://doi.org/10.5194/gi-8-177-2019, 2019.
Li, W., Zhang, Q., Luo, Y., Zhang, Q., and Jiang, F.: Development of a new
multifunctional induced polarization instrument based on remote wireless
communication technology, IEEE Access, 8, 100415–100425,
https://doi.org/10.1109/ACCESS.2020.2997125, 2020.
Loke, M. H.: Time-lapse resistivity imaging inversion, in: Proceedings of
the 5th Meeting of the Environmental and Engineering Geophysical Society
European Section, Budapest, Hungary, 6–9 September 1999, Em1,
https://doi.org/10.3997/2214-4609.201406397, 1999.
Mendecki, A. J., Lynch, R. A., and Malovichko, D. A.: Routine micro-seismic
monitoring in mines, 2010 Australian Earthquake Engineering Society
Conference, Perth, Australia, 14 November 2010, 1–33, 2010.
Ministry of natural resources: 2019 China Mineral Resources, Geological
Publishing House, Beijing, China, 2019.
Perkins, B., Hammer, J. V., and Reid, J. D.: Beginning C# 6 Programming
with Visual Studio, translated by: Qi, L. and Huang, J., 7th Edn., Tsinghua University Press, Beijing, 2016.
Song, C., Wang, R., Li, C., Zhang, Q., Li, Y., and Kang, Y.: Research on
resistivity tomography to detection for hidden dangers of embankment, Yellow
River, 42, 104–106, 2020.
Wang, B., Chao, Y., and Yang, Y.: Application of Sting-Swift R1
electrical-resistivity system on the ductile shear zone type gold deposit in
Inner Mongolia, Gold Science and Technology, 21, 39–43, 2013.
Wang, H., Li, Y., Tuo, X., Meng, L., and Yang, J.: Development of geological
hazards monitoring system based on IoT and application in Guizhou Province,
China Measurement & Test, 43, 94–99,
https://doi.org/10.11857/j.issn.1674-5124.2017.09.017, 2017.
Wang, P.: A kind of resistivity method geological disaster real-time
monitoring device based on 4G network, Patent CN106483565A, China, 2017.
Xing, G.: Intelligent power modules, Global Electronics China, 2001,
34–35, 2001.
Yan, J., Meng, G., Lv, Q., Zhang, K., and Chen, X.: The progress and
prospect of the electrical resistivity imaging survey, Geophysical and
Geochemical Exploration, 36, 576–584, 2012.
Yang, G. and Tian, X.: Scientific coal mining using geophysical prospecting
technology, Coal Technol., 33, 135–138,
https://doi.org/10.13301/j.cnki.ct.2014.05.051, 2014.
Yang, X.: Application of multi-meter high-density electrical detection
technology for coal drift in damage zone of small coal mine, Coal, 46,
25–26, 2011.
Zeng, X., Wang, M., Jin, S., Duan, H., and Chen, K.: Arbitrary frequency
table transmission technology for a high-power borehole–ground
electromagnetic transmitter, IEEE Access, 6, 11502–11507,
https://doi.org/10.1109/ACCESS.2018.2810945, 2018.
Zhang, Q., Cheng, D., Liu, Y., Niu, R., Shen, Z., Mei, X., Lin, C., Wang,
Y., Mu, W., Gao, Z., Li, Y., Yuan, Z., Xu, J., and Zhang, Q.: Geophysical Water
Prospecting Methods, Technologies, and Instruments, Geological Publishing
House, Beijing, China, 191 pp., ISBN 978-7-116-08166-6, 2013.
Zhao, X., Zhang, T., and Wang, K.: C# in software development, Computer
Programming Skills and Maintenance, 2013, 17–18, 2013.
Zhou, Y., Yu, X., Zhou, T., and Xin, P.: Monitoring on change of soil
salinity with high-density resistivity instrument in a reclaimed area, Water
Resources Protection, 34, 96–101,110,
https://doi.org/10.3880/j.issn.1004-6933.2018.02.15, 2018.
Short summary
This paper describes the development of a new multifunctional four-dimensional high-density electrical instrument based on remote wireless communication technology, for use in shallow geophysical prospecting. We carried out a lot of tests. Our design successfully addresses a number of shortcomings of such instruments currently available on the market, including bulkiness, weight, limitations in data acquisition accuracy, and difficulty of connecting to the Internet for remote monitoring.
This paper describes the development of a new multifunctional four-dimensional high-density...
