Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor

Deep displacement monitoring of rock and soil mass is the focus of current geological hazard research. In the previous works, we proposed a geophysical deep displacement characteristic information detection method by implanting magneto-electric sensing arrays in boreholes, and preliminarily designed...

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Main Authors: Nanying Shentu, Sheng Wang, Qing Li, Renyuan Tong, Siguang An, Guohua Qiu
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/6/1689
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author Nanying Shentu
Sheng Wang
Qing Li
Renyuan Tong
Siguang An
Guohua Qiu
author_facet Nanying Shentu
Sheng Wang
Qing Li
Renyuan Tong
Siguang An
Guohua Qiu
author_sort Nanying Shentu
collection DOAJ
description Deep displacement monitoring of rock and soil mass is the focus of current geological hazard research. In the previous works, we proposed a geophysical deep displacement characteristic information detection method by implanting magneto-electric sensing arrays in boreholes, and preliminarily designed the sensor prototype and algorithm of deep displacement three-dimensional (3D) measurement. On this basis, we optimized the structure of the sensing unit through 3D printing and other technologies, and improved the shape and material parameters of the permanent magnet after extensive experiments. Through in-depth analysis of the experimental data, based on the data query algorithm and the polynomial least square curve fitting theory, a new mathematical model for 3D measurement of deep displacement has been proposed. By virtue of it, the output values of mutual inductance voltage, Hall voltage and tilt measuring voltage measured by the sensing units can be converted into the variations of relative horizontal displacement, vertical displacement and axial tilt angle between any two adjacent sensing units in real time, and the measuring errors of horizontal and vertical displacement are tested to be 0−1.5 mm. The combination of structural optimization and measurement method upgrading extends the measurement range of the sensing unit from 0−30 mm to 0−50 mm. It shows that our revised deep displacement 3D measuring sensor can better meet the needs of high-precision monitoring at the initial stage of rock and soil deformation and large deformation monitoring at the rapid change and imminent-sliding stage.
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spelling doaj.art-db7413a6367b4c48aa9b521502fdfdc82022-12-22T04:23:10ZengMDPI AGSensors1424-82202020-03-01206168910.3390/s20061689s20061689Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring SensorNanying Shentu0Sheng Wang1Qing Li2Renyuan Tong3Siguang An4Guohua Qiu5College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Information Enginerrig, China Jiliang University, Hangzhou 310018, ChinaDeep displacement monitoring of rock and soil mass is the focus of current geological hazard research. In the previous works, we proposed a geophysical deep displacement characteristic information detection method by implanting magneto-electric sensing arrays in boreholes, and preliminarily designed the sensor prototype and algorithm of deep displacement three-dimensional (3D) measurement. On this basis, we optimized the structure of the sensing unit through 3D printing and other technologies, and improved the shape and material parameters of the permanent magnet after extensive experiments. Through in-depth analysis of the experimental data, based on the data query algorithm and the polynomial least square curve fitting theory, a new mathematical model for 3D measurement of deep displacement has been proposed. By virtue of it, the output values of mutual inductance voltage, Hall voltage and tilt measuring voltage measured by the sensing units can be converted into the variations of relative horizontal displacement, vertical displacement and axial tilt angle between any two adjacent sensing units in real time, and the measuring errors of horizontal and vertical displacement are tested to be 0−1.5 mm. The combination of structural optimization and measurement method upgrading extends the measurement range of the sensing unit from 0−30 mm to 0−50 mm. It shows that our revised deep displacement 3D measuring sensor can better meet the needs of high-precision monitoring at the initial stage of rock and soil deformation and large deformation monitoring at the rapid change and imminent-sliding stage.https://www.mdpi.com/1424-8220/20/6/1689geological disasterdeep displacement monitoringhorizontal displacementvertical displacementmathematical modelingcontour
spellingShingle Nanying Shentu
Sheng Wang
Qing Li
Renyuan Tong
Siguang An
Guohua Qiu
Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
Sensors
geological disaster
deep displacement monitoring
horizontal displacement
vertical displacement
mathematical modeling
contour
title Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
title_full Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
title_fullStr Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
title_full_unstemmed Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
title_short Research on Structure Optimization and Measurement Method of a Large-Range Deep Displacement 3D Measuring Sensor
title_sort research on structure optimization and measurement method of a large range deep displacement 3d measuring sensor
topic geological disaster
deep displacement monitoring
horizontal displacement
vertical displacement
mathematical modeling
contour
url https://www.mdpi.com/1424-8220/20/6/1689
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