INFRASTRUCTURE FOR INTEGRATED DATA ENVIRONMENTS AND ANALYSIS (IIDEA) FOR MINING AND PROCESSING SYSTEMS

Technical Report · Fri Jun 29 00:00:00 EDT 2007

DOI:https://doi.org/10.2172/1165359· OSTI ID:1165359

Dessureault, Sean

Almost all the high-production businesses face a problem of having terabytes of data but very little information is extracted from them. Efforts are being made continuously to bring the raw data into a usable format so that the meaningful information can be inferred. Once the knowledge discovery is done, proper action can be taken accordingly. The data mining and process modeling approach are used in many business sectors to better understand the process interactions within production chains by analyzing huge data repositories. A decade of intense investment in information technology by mining companies as resulted in vast quantities of underutilized data. Other industries have undergone fundamental changes through the innovative application of IT and business intelligence. This project was to undertake the investigation of the tools and techniques that would bring such data mining and requisite business processes to the mining industry. Phase I of this project was to establish the research infrastructure for Phase II and to pilot the tools and techniques through the development of an Energy Consumption Model (ECM) to predict the energy consumption in the material handling processes based on the key input variables like distance, elevation, tons hauled etc. Data mining techniques that can extract meaningful information from a raw data is available. The model developed as part of this research is an example of how energy consumption can be estimated from fundamental data.

• Research Organization: Univ. of Arizona, Tucson, AZ (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: FC26-05NT42497
• OSTI ID: 1165359
• Country of Publication: United States
• Language: English