Developing a Combined Method for Detection of Buried Metal Objects

This paper discusses the author-developed novel method for the detection of buried metal objects that combines two basic subsurface sensing methods: one based on changes in the electromagnetic field parameters as induced by the inner or surficial impedance of the medium when affected by a propagating magnetic field; and one based on changes in the input impedance of the receiver as induced by the electromagnetic properties of the probed medium. The proposed method utilizes three instrumentation channels: two primary channels come from the ferrite magnetic antenna (the receiver), where the first channel is used to measure the current voltage amplitude of the active input signal component, while the second channel measures the current voltage amplitude of the reactive input signal component; an additional (secondary) channel comes from the emitting frame antenna (the transmitter) to measure the current amplitude of the exciting current. This data redundancy proves to significantly improve the reliability and accuracy of detecting buried metal objects. Implementation of the computational procedures for the proposed method helped to detect and identify buried objects by their specific electrical conductance and magnetic permeability, while also locating them depth-wise. The research team has designed an induction probe that contains two mutually orthogonal antennas (a frame transmitter and ferrite receiver); the authors herein propose a metal detector design that implements the proposed induction sensing method. Experimental research proved the developed combined method for searching for buried metal objects efficient and well-performing.

[1]  J. J. Flynn,et al.  Developments in mine detection , 1996 .

[2]  Maryam Ravan,et al.  Electromagnetic Induction Imaging at Multiple Depths With a Single Coil , 2021, IEEE Transactions on Instrumentation and Measurement.

[3]  M.I. Sharawi,et al.  Design and Implementation of a Low Cost VLF Metal Detector with Metal-Type Discrimination Capabilities , 2007, 2007 IEEE International Conference on Signal Processing and Communications.

[4]  Kangwook Kim,et al.  Planar Spiral Coil Design for a Pulsed Induction Metal Detector to Improve the Sensitivities , 2014, IEEE Antennas and Wireless Propagation Letters.

[5]  Ivan V. Bryakin,et al.  Cable Avoidance Tool , 2019, 2019 International Russian Automation Conference (RusAutoCon).

[6]  Wei Zhou,et al.  The research of metal detectors using in food industry , 2011, Proceedings of 2011 International Conference on Electronics and Optoelectronics.

[7]  Ping Wang,et al.  Design and testing of an induction coil for measuring the magnetic fields of underground power cables , 2010, 2010 IEEE International Symposium on Electrical Insulation.

[8]  Gerhard Schrotter,et al.  The Need for a Reliable Map of Utility Networks for Planning Underground Spaces , 2018, 2018 17th International Conference on Ground Penetrating Radar (GPR).

[9]  M. Bick,et al.  Signal Processing Techniques for Improved Performance of a SQUID-Based Metal-Detector , 2009, IEEE Transactions on Applied Superconductivity.

[10]  Thomas H. Bell,et al.  Electromagnetic induction spectroscopy for clearing landmines , 2001, IEEE Trans. Geosci. Remote. Sens..

[11]  Maryam Ravan,et al.  Electromagnetic Induction Imaging of Metallic Objects at Multiple Depths , 2020, IEEE Magnetics Letters.

[12]  M Thompson,et al.  Designing Modern Walk-Through Metal Detectors , 1992 .

[13]  Mingji Zhang,et al.  Research of miniature magnetic coil sensor used for detecting power cables underground , 2011, 2011 International Conference on Electrical and Control Engineering.

[14]  Sadao Yamazaki,et al.  Basic analysis of a metal detector , 2002, IEEE Trans. Instrum. Meas..

[15]  R. Freire,et al.  Single Coil Metal Detector and Classifier Based on Phase Measurement , 2019, 2019 4th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT).

[16]  Kyoo Nam Choi,et al.  Two-Channel Metal Detector Using Two Perpendicular Antennas , 2014, J. Sensors.