
Sensing and Monitoring Technologies for Mines and Hazardous Areas
Monitoring and Prediction Technologies
- 1st Edition - June 10, 2016
- Imprint: Elsevier
- Authors: Swadesh Chaulya, G. M. Prasad
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 0 3 1 9 4 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 3 1 9 5 - 7
Sensing and Monitoring Technologies for Mines and Hazardous Areas: Monitoring and Prediction Technologies presents the fundamentals of mining related geotechnical risk and how t… Read more

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Request a sales quoteSensing and Monitoring Technologies for Mines and Hazardous Areas: Monitoring and Prediction Technologies presents the fundamentals of mining related geotechnical risk and how the latest advances in sensing and data communication can be used both to prevent accidents and provide early warnings.
Opencast mining operations involve huge quantities of overburden removal, dumping, and backfilling in excavated areas. Substantial increases in the rate of accumulation of waste dumps in recent years has resulted in greater height of dumps and also has given rise to the danger of dump failures as steeper open pit slopes are prone to failure. These failures lead to loss of valuable human lives and damage to mining machinery.
This book presents the most recent advances in gas sensors, methane detectors, and power cut-off systems. It also introduces monitoring of the gas strata and environment, and an overview of the use of Internet of Things and cloud computing for mining sensing and surveillance purposes. Targeted at geotechnical and mining engineers, this volume covers the latest findings and technology to prevent mining accidents and mitigate the inherent risk of the activity.
- 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
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
- 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
- Edition: 1
- Published: June 10, 2016
- No. of pages (Paperback): 432
- No. of pages (eBook): 432
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128031940
- eBook ISBN: 9780128031957
SC
Swadesh Chaulya
GP