Abstract Detail
Boris Borisovich Zobnin
International Academy of Ecology, Russia
Abstract
A technology has been proposed for converting copper-zinc-pyrite mines put into wet preservation at the post-mining stage to hydrometallurgical technology that ensures the elimination of waste and the extraction of outstanding reserves of mineral raw materials from an acidic polycationic sulfate solution with a high iron content (>0.4g/l), highly mineralized and rigid, representing a heterogeneous system containing, along with truly dissolved substances, suspensions and colloids. The self-draining mine water contains dissolved gases (oxygen, carbon dioxide, nitrogen, hydrogen sulfide, methane, hydrogen), as well as nitrogen compounds. The technology allows us to consider self-draining mine waters as a productive solution in which the oxidation of pyrite minerals occurs in the aeration zone after opening the ore body and the formation of soluble sulfate surfaces. The technology includes cavitation treatment of the productive solution, which ensures a reduction in the airborne content. To substantiate the algorithms for processing available information using specific methods of cleaning up and eliminating waste, which minimize the risk of a project transition to the post-mining stage, an ontology-oriented domain analysis and a strategy for managing the process of transition to a closed cycle of using material resources are proposed, which is formalized as a conflict-controlled system in which the effectiveness of the development of a natural technological system It is determined by the competition of the ally player, who minimizes the environmental and economic damage caused by wet conservation mines, and the opponent player, who prohibits the elimination of damage using a specific technology. A constructive approach to solving the problem of transferring a natural technology system containing copper-zinc-pyrite mines placed in wet preservation at the post-mining stage to hydrometallurgical technology that ensures the elimination of accumulated environmental damage and the extraction of outstanding reserves of mineral raw materials.Biography
Boris Borisovich Zobnin, was born on August 25, 1941 in Sverdlovsk. After graduating from the Radio Engineering Faculty of the Ural Polytechnic Institute in 1963, he worked as an engineer at the Uralmashzavod. From 1966 to 1969, he worked as an acting Senior researcher at the Institute of Mining of the Ministry of Emergency Situations of the USSR. In 1969, he entered graduate school at the Department of Industrial Process Automation (APP) of the Sverdlovsk Mining Institute, In 1971 he defended his PhD thesis. He worked at the Department of APP as an assistant, senior lecturer, associate professor. From 1986 to 1993, he headed the Department of Operations Research, carried out scientific supervision of works aimed at automating crushing and grinding equipment in the branch laboratory established at the Sverdlovsk Mining Institute by the Ministry of Heavy Engineering (Mintyazhmash) of the USSR. In 1987, he was elected a member of the Scientific and Technical Council of the Ministry of Industry and Technology of the USSR. From 1993 to the present – Professor of the Department of Informatics of the Ural State Mining University.
Research interests: mathematical modeling and management of complex technical and socio-economic systems; intellectualization of measurements in the tasks of monitoring complex objects; development of scenarios for the development of complex systems. About 200 articles, 40 copyright certificates and patents have been published. Magazines: News of universities. Mining Journal; New Refractories; Eastern European Journal of Advanced Technologies; American Science Journal; International Journal of Materials Science and Applications. Professor of the Department of Informatics of the Ural State Mining and Geological Academy. In 1988, he defended his doctoral dissertation on the topic "Synthesis of a controlled technological complex for magnetic enrichment of iron ores." In 1990, he was awarded the academic title of Professor at the Department of Operations Research. I teach the following disciplines: system modeling, information technology, optimization and decision-making. I am engaged in retraining specialists in monitoring the geological environment. He has trained fourteen candidates of technical sciences.