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Study On The Evaluation Of Technological Advancement In The Industry Of Vanadium Extraction From Stone Coals

Posted on:2014-06-03Degree:DoctorType:Dissertation
Country:ChinaCandidate:J LiFull Text:PDF
GTID:1261330425479867Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Stone coal is a kind of important and abundant vanadium resources in China, and vanadium extraction from stone coal is a important way of acquiring V2O5.With the development of the vanadium extraction industry, the advanced technology has been attached more and more importance to. But due to the lack of evaluation criteria and systematic evaluation system of vanadium extraction industry, the optimal selection from various vanadium extraction technology and pollution control technology is hard, and it is unable to realize the feasible supervision and management of vanadium extraction industry, all these make the current domestic industry face low resource utilization, uneven process and equipment configuration, backward extraction technology, and environmental pollution problems. Therefore, in order to promote the development of the industry orderly and improve the enterprise management level, it is desiderate to formulate and implement a set of scientific, reasonable and effective evaluation system, standards and method of technological advancement, and comprehensively evaluate the whole production process of v vanadium industry technology, which have important theoretical and realistic significance to promote the benign development of vanadium resources development and utilization in our country.Using data mining technology, this study conducts a research on stone coal vanadium extraction technology advancement evaluation based on small samples. Through analyzing the advanced process in vanadium industry and the existing pollution control technology, this study constructs the route of technological advancement evaluation in vanadium extraction industry, establishes evaluation index system and standard production and verifies the rationality of the index system and standard by using data mining technology in the fuzzy mathematics method. In addition, this study also optimizes the support vector machine (SVM) model parameters with the help of genetic algorithm, makes full use of support vector machine (SVM) good study performance and potential application value, and applies it successfully to stone coal vanadium extraction technology advancement evaluation system. The aforementioned research in the field of vanadium industry in China is doing for the first time and provides relevant theoretical support to promote a complete advancement evaluation system of stone coal vanadium industry technology.The main results of paper are as follows:1. It analysis and summarize the production status of vanadium extraction industry and the situation of pollution prevention. On the basis of research system it sums up the current status of domestic vanadium extraction industry technology, sewage node, characteristics of pollutants, the situation of pollution prevention, control of the status quo of the technology and problems in pollution prevention, which laid a foundation for the evaluation of advanced technology.2. It sets up the evaluation indicator system and standard values of technological advancement of vanadium extraction from stone coal on this basis of using life cycle assessment method with the principles of ease, particularity and compatibility; by the method of comprehensive evaluation in the fuzzy mathematics, the integration weighting method, it verifies the rationality of advanced evaluation indicator system and standard in vanadium extraction industry.3. The data mining technology of support vector machine (SVM) and genetic algorithm is introduced into the research of vanadium extraction from stone coal technology advancement evaluation. According to the characteristics of the established evaluation index system, by using the genetic algorithm (GA) the method of support vector machine (SVM) is improved on the kernel function and parameters selection, and the specific modeling process were determined. Through the evaluation of training samples and testing samples, it proved that the improved support vector machine method (GA-SVM) can be practical applied to the evaluation process of vanadium extraction industry technological advancement, and it is a kind of evaluation method with high practical value of small sample.4. It makes some policy recommendations on advanced technology and pollution control technology in vanadium extraction industry. By AHP/Entroy, it analyzes indicator parameter values to the importance of the importance on the technological level. It gives some policy advice on advanced technology and pollution control technology for government and provides the reference for environmental protection department1s policy making and access requirements.
Keywords/Search Tags:vanadium extraction from stone coal, technological advancementevaluation, indicator system, data mining, support vector machine
PDF Full Text Request
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