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Improving Mine Productivity by better Analysis of Blasting data


INTRODUCTION
In any operating mine, huge data is available in various ways (such as performance condition data from sensors monitoring devices on fixed and mobile assets) through
networks, servers and services. Mines using standardized information technology throughout mining life cycle could help in improving productivity and restore the reputation of the industry by using data analytics from this big amount of data. The information has to be accurate, easily accessible and available fast to the mining personnel. Industry-specific, enterprise-class software
solutions focused on using information technology to support the business processes of mining and make them more efficient and effective. This “big data” can be processed and analyzed to spot trends, help predict events,and formulate reliability strategies as early as the design stage e.g. .reliability-cantered design. The application of information technology is happening at every phase of the

mining value chain, from exploration and geological modeling to equipment, operations, maintenance and logistics and transportation.“Consumer” Technologies that is being used every day on our iPhones and Android devices, are providing tremendous opportunity for collecting information and transmitting information. Overlaying the digital world on the physical world and connecting them accurately through intelligent positioning results in additional infrastructure, which is safer and more sustainable use of increased information technology in mining owes its
existence to advances in information and communications technology over the past 10 to 15 years that have been truly transformative.

Mining differs from other industries in many ways. It is highly variable, starting with uncertainty about the nature of the resource being mined. Mining operations often take place in extreme environments and in far-flung locations. Strains and stresses placed upon mining equipment by rocks of unpredictable size and hardness result in frequent breakdowns. Smart planning and coordination of activities are required to mitigate variability caused by external forces; disciplined execution is needed to eliminate variability that miners create themselves. The path to a step change in mining productivity will come through reducing and, where possible, eliminating the variability that has made mining unique. Mines using standardized information technology throughout mining life cycle (called as smart or intelligent mine) could help restore the reputation of the industry and align interests of investors, environmentalist and the communities in which mines operate.

From blasting to noise to water monitoring, remote monitoring systems can save users operational time and resources by getting data to mining project personnel without requiring them to spend hours in the field. Automatic information gathering, analysis helps mines to save on operating and maintenance costs and extend asset life, while at the same time complying with stringent regulatory and safety requirements. Figure 1 depicts how information from software, sensors, monitors from different sources go to data centre.
Information from different data sources are in different formats. These software capture, assemble and report data on things as diverse as production, operating hours, delays, machine conditions, water flows, power and conveyors. Three key activities that are enabling information mobility and helping to advance mine engineering are i) information modeling, ii) asset

BHANDARI ETAL 2 Jaipur, India, 20-22 January 2017 MineAdvanTech performance management iii) asset lifecycle information management.

 

 

This analysis provides the ability to be able to do things like streamlining the process, optimizing the operations, as well as enabling people to make informed decisions, People, want to avoid spending a lot of time for finding the right information in order to make decisions, through the technology and the equipment that are used in mining. Lastly, the intelligent mining is seen in the convergence of consumerization and industrialization. The application of “consumer” technologies that we use every day on our iPhones and
Android devices, such as cameras, motion sensors, and positioning in an industrial context, are producing 3-D experiences. Innovative hand held units allow field data to be captured and automatically down loaded when the unit is docked, eliminating human error during data transfer

Mobility allows one to get easy access without having the limitations of network that is available, participate at any geographic location or be involved in, be the project office, or may be on site in front of the assets, or may be with the people at HQ, which has typically been, the place where the information lives. AN EXAMPLE OF DATA MANAGEMENT Blasting is a central activity in mining and quarrying and contributes significantly to overall operations and costs (Figure 2). Fragmentation, an important aspect of blasting result, could affect mucking and crushing performance.However, both could be effected as well by hauling, so that isolated monitoring of mucking could not be sufficient and could lead to faulty conclusions. These considerations lead to overall integrated concept in mining. Thus, it is important that data collections should consider overall concepts in mining. Whereas for other equipment/operations many sensors and monitors
automatically send information to data center (Fig 1), details about blasts are not collected as much of it is not automatic. Data collection: pre-blast, during the blast and
post-blast is critical to the blasting process, for planning.

purposes, statutory requirements and/or environmental compliance. The review and analysis of past data can improve blast design, execution and help in the achievement of desired blasting outcomes, downstream productivity and process improvement. Based on the database and its search and analysis capabilities, the system can provide opportunities for taking corrective
steps by changing charge distribution, initiation timing and sequence for controlling fragmentation size, muck pile displacement, fly rock, ground and air vibrations.

Blasting is made up of groups of tasks, which are performed to produce broken rock with specific fragmentation while ensuring that safety, statutory requirements and/or environmental compliance are met.Being at the very front of succeeding activities such as excavating, hauling, crushing and processing, blasting is also likely to affect the performance of any of these operations (Figure 2). Generally blasting related information is poorly managed with disjointed and unrelated information technology systems managing parts of blasting data. A data management system (Figure 3) not only ensures information storage, but also acts as an intelligent system for optimization of blasting and overall operation. The review and analysis of past data can improve blast design, blast execution and help in the achievement of desired blasting outcomes and downstream productivity, and process improvement.

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