
Sensing and Monitoring Technologies for Mines and Hazardous Areas
Monitoring and Prediction Technologies
Description
Key Features
- Presents complete details of a real-time slope stability monitoring system using wireless sensor networking and prediction technique based on multivariate statistical analysis of various parameters and analytical hierarchy process methods
- Discusses innovative ideas and new concepts of sensing technologies, mine transport surveillance, digital mining, and cloud computing to improve safety and productivity in mining industry
- Includes slope stability prediction software, downloadable through a companion website, which can be used for monitoring, analyzing, and storing different sensors and providing audio-visual, SMS, and email alerts
- Covers the latest findings and technology to prevent mining accidents and mitigate the inherent risk
Readership
Geotechnical Engineers, Mining Engineers, Geologists, Electronics and Communication Engineers, Environmental Engineers, and other practitioners, scientists, researchers and professors working in Sensing technologies, Geotechnical studies, Mining industries, and Mining instrument manufacturing; Graduate and post-graduate students, and research scholars in related areas
Table of Contents
- Preface
- Acknowledgments
- Abbreviations
- Chapter 1: Slope Failure Mechanism and Monitoring Techniques
- Abstract
- 1.1 Introduction
- 1.2 Slope Failure Modes and Mechanism
- 1.3 Factors Affecting Slope Stability
- 1.4 Methods of Slope Stability Analysis
- 1.5 Assessment of Risk
- 1.6 Slope Monitoring Systems
- 1.7 Slope Failure Monitoring and Prediction System
- 1.8 Laboratory Experiment
- 1.9 Field Survey and Geotechnical Assessment
- 1.10 Field Installation of Slope Stability Monitoring System
- 1.11 Conclusions
- Chapter 2: Mine Transport Surveillance and Production Management System
- Abstract
- 2.1 Introduction
- 2.2 State of the Art
- 2.3 Mine Transport Surveillance and Production Management System
- 2.4 Weighing Modules
- 2.5 Vehicle Tracking and Detection Module
- 2.6 Production Management Module
- 2.7 Software Specifications
- 2.8 Conclusions
- Chapter 3: Gas Sensors for Underground Mines and Hazardous Areas
- Abstract
- 3.1 Introduction
- 3.2 Mine Gases
- 3.3 Hazardous Area
- 3.4 Gas Sensors
- 3.5 Characteristics of Gas Sensors
- 3.6 Comparison of Various Sensors
- 3.7 Mine Gas Monitoring Techniques
- 3.8 Sampling Methods
- 3.9 Placement of Sensor
- 3.10 Interpretation of the Data
- 3.11 Sensor Calibration
- 3.12 Conclusions
- Chapter 4: Local Methane Detection and Power Cut-Off System
- Abstract
- 4.1 Introduction
- 4.2 Mine Disasters Due To Explosions
- 4.3 System Description
- 4.4 Safety Measures
- 4.5 Current Drawn by Circuit
- 4.6 Component Details
- 4.7 Conclusions
- Chapter 5: Integrated Mine Environment and Strata Condition Monitoring System
- Abstract
- 5.1 Introduction
- 5.2 Monitoring of Underground Mine Conditions
- 5.3 System Description
- 5.4 Trial Run
- 5.5 Features and Applications
- 5.6 Conclusions
- Chapter 6: Formation of Digital Mine Using the Internet of Things
- Abstract
- 6.1 Introduction
- 6.2 The Internet of Things
- 6.3 Concept of the Digital Mine
- 6.4 Creation of 3D Underground Mine Model
- 6.5 Framework for Real-Time Monitoring of Underground Mine
- 6.6 Monitoring and Tracking of Underground Miners
- 6.7 Monitoring of Gases
- 6.8 Water Inrush and Waterlogged Area Monitoring
- 6.9 Condition Monitoring of Mine Machinery
- 6.10 Monitoring of Goaf Area
- 6.11 Strata Monitoring of Underground Mines
- 6.12 Mine Fire Detection and Early-Warning System
- 6.13 Monitoring of Conveyor Belt and Coal Production
- 6.14 Monitoring of Mine Ventilation
- 6.15 Monitoring of Stowing Practices in Underground Mines
- 6.16 Production Planning and Management
- 6.17 Simulation of Production Scheduling
- 6.18 Training of Rescue Team and Miners
- 6.19 Conclusions
- Chapter 7: Application of Cloud Computing Technology in Mining Industry
- Abstract
- 7.1 Introduction
- 7.2 Evolution of Cloud Computing Technology
- 7.3 Difference Between Traditional Computing and Cloud Computing
- 7.4 Cloud Systems
- 7.5 Cloud Computing Technology for Mining Industry
- 7.6 Conclusions
- Index
Product details
- No. of pages: 432
- Language: English
- Copyright: © Elsevier 2016
- Published: June 10, 2016
- Imprint: Elsevier
- eBook ISBN: 9780128031957
- Paperback ISBN: 9780128031940
About the Authors
Swadesh Chaulya
Affiliations and Expertise
G. M. Prasad
Affiliations and Expertise
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