IoT based equipment for real-time identification of soil properties

被引:0
作者
Kumar, Bhukya Pavan [1 ]
Prasad, A. D. [1 ]
机构
[1] Natl Inst Technol Raipur, Civil Engn Dept, Raipur, Madhya Pradesh, India
来源
2020 7TH IEEE INTERNATIONAL CONFERENCE ON SMART STRUCTURES AND SYSTEMS (ICSSS 2020) | 2020年
关键词
IoT equipment; Current Sensor; Electrical Resistivity method; Real-time monitoring; Archie's law;
D O I
10.1109/icsss49621.2020.9202279
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There is a need for geotechnical investigations to start a civil engineering project. They provide the design parameters for a safe design on the existing soil. Finding the design parameters of soil in a laboratory is a time-consuming process. Geophysics helps in understanding the soil strata underneath non destructively. Electrical resistivity method is one of the better geophysical methods. Electrical resistivity of soil is a key to monitor the variation of soil properties (i.e. porosity, bulk density, degree of saturation). It helps in understanding the soil efficiently. Creating electrical mixing models for soil parameters identification is a better approach. The simplest electrical mixing model Archie's law used to find porosity of hydrocarbons at deeper locations beneath the earth surface. In this study, Modified Archie's law applied to the soil mass by estimating the resistivity of soil. An IoT based equipment fabricated to measure the resistivity of the soil mass. Observations indicate the usage of IoT based equipment's gives the real-time variation of soil resistivity as well as the design parameters of soil. IoT based equipment is a simple, compact and portable equipment. It assists to compare the soil properties in a real-time mode. The fabricated equipment improves the understanding of geotechnical engineers.
引用
收藏
页码:149 / 154
页数:6
相关论文
共 20 条
[11]  
Kalinski R.J., 1993, Geotechnical Testing Journal, V16, P323, DOI DOI 10.1520/GTJ10053J
[12]  
Keller G.V., 1966, ELECT METHODS GEOPHY, V10
[13]   Soil characterization using electrical measurements [J].
McCarter, WJ ;
Desmazes, P .
GEOTECHNIQUE, 1997, 47 (01) :179-183
[14]  
Na A., 2016, INT C INF TECHN INCI
[15]  
Padole D. V, 2017, INT C INN INF EMB CO
[16]  
Raghuveera E, 2019, INT J INNOVATIVE TEC, V8, P549
[17]  
Shah P., SOIL ELECT CONDUCTIV, V02, P1
[18]   Simple and multiple regression models for relationship between electrical resistivity and various soil properties for soil characterization [J].
Siddiqui, Fahad Irfan ;
Osman, Syed Baharom Azahar Bin Syed .
ENVIRONMENTAL EARTH SCIENCES, 2013, 70 (01) :259-267
[19]  
Sindhu P., 2018, ASIAN J COMPUTER SCI, V7, P54
[20]   ELECTRICAL CONDUCTIVITIES IN OIL-BEARING SHALY SANDS [J].
WAXMAN, MH ;
SMITS, LJM .
SOCIETY OF PETROLEUM ENGINEERS JOURNAL, 1968, 8 (02) :107-+