There have been major recent advances in robotic systems that can replace humans in undertaking hazardous activities in demanding or dangerous environments. Published in association with the CLAWAR (Climbing and Walking Robots and Associated Technologies Association) (www.clawar.org), this important book reviews the development of robotic systems for de-mining and other risky activities such as fire-fighting.Part one provides an overview of the use of robots for humanitarian de-mining work. Part two discusses the development of sensors for mine detection whilst Part thee reviews developments in both teleoperated and autonomous robots. Building on the latter, Part four concentrates on robot autonomous navigation. The final part of the book reviews research on multi-agent-systems (MAS) and the multi-robotics-systems (MRS), promising tools that take into account modular design of mobile robots and the use of several robots in multi-task missions.With its distinguished editors and international team of contributors, Using robots in hazardous environments: landmine detection, de-mining and other applications is a standard reference for all those researching the use of robots in hazardous environments as well as government and other agencies wishing to use robots for dangerous tasks such as landmine detection and disposal. - Reviews the development of robotic systems for de-mining and other risky activities - Discusses the development and applications of sensors for mine detection using different robotic systems - Examines research on multi-agent-systems and multi-robotics systems

Legislation, Technology and Practice of Mine Land Reclamation contains the proceedings of the Beijing International Symposium on Land Reclamation and Ecological Restoration (LRER 2014, Beijing, China, 16-19 October 2014).The contributions cover a wide range of topics:- Monitoring, prediction and assessment of environmental damage in mining areas- S

In an approach that combines coverage of safety and human error into a single volume, Safety and Human Error in Engineering Systems eliminates the need to consult many different and diverse sources for those who need information about both topics. The book begins with an introduction to aspects of safety and human error and a discussion of mathematical concepts that builds understanding of the material presented in subsequent chapters. The author describes the methods that can be used to perform safety and human error analysis in engineering systems and includes examples, along with their solutions, as well as problems to test reader comprehension. He presents a total of ten methods considered useful for performing safety and human error analysis in engineering systems. The book also covers safety and human error transportation systems, medical systems, and mining equipment as well as robots and software. Nowadays, engineering systems are an important element of the world economy as each year billions of dollars are spent to develop, manufacture, and operate various types of engineering systems around the globe. A rise in accidental deaths has put the spotlight on the role human error plays in the safety and failure of these systems. Written by an expert in various aspects of healthcare, engineering management, design, reliability, safety, and quality, this book provides tools and techniques for improving engineering systems with respect to human error and safety.

Jointly sponsored by the China University of Mining and Technology and the University of Nottingham, UK, a total of 187 papers have been included in the proceedings, of which fifty-two are contributed by authors outside of China. Scholars and experts from both China and abroad discuss and exchange information on the latest developments in mining science and technology worldwide, which cover extensive areas ranging from mine operation and safety technology, geology and methane drainage, geomechanics, mine construction and tunnelling, mineral processing and clean coal technology, mine control and automation to mine environment, mine economics and management.

In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.