Reliability Research Of Ventilation System In Underground Uranium Mine Based On Cloud Theory And Basyesian Feedback

Being different from ordinary mines,large amounts of radioactive pollutants such as radon and its progeny exist in uranium mines,which causes radioactive damage to human body.Hence,the study on the reliability of the ventilation system of underground mine acquires practical significance in improving the effect of radon reduction and optimizing the safe working environment.With an eye to the incompleteness of the traditional fuzzy theory and the randomness and fuzziness of experts grading method,the cloud theory and the Bayesian feedback theory are put forward to evaluate the reliability of ventilation system of the underground uranium mine,in the hope of improving the objectivity of the evaluation result.The main research work is as follows:The first part of the research concerns the reliability evaluation index system of underground uranium mine ventilation system.With an overview on previous related researches,this part sets up the reliability index system of the underground uranium mine on the basis of field research,which is divided into four first class indexes: the ventilation system environment,the ventilation facilities and equipments,the personnel and management and the pollutants in working face.Each first class index includes several second class indexes.The second part of the research involves index weight clouds in the light of cloud theory.Based on the scale of cloud model,this part establishes the index comparison matrix,through which the weight of each index is expressed by cloud parameters and models,and the fuzziness of the index weight is displayed intuitively as well.The third part of the research goes to the reliability scale based on Bayesian feedback cloud model.Contraposing the randomness and fuzziness of experts grading method,this part employs the network voting to improve the cooperative cognition of experts on the qualitative concepts,and modifies the cloud parameters through the Bayesian feedback method,which lowers the fuzziness of the setting reliability levels and improves objectivity.The fourth part of the research makes case study of the reliability of the ventilation system of the underground uranium mine.This part firstly analyzes and evaluates the reliability of a certain underground uranium mine with preset reliability evaluation index system,weight cloud and scale cloud;and then modifies the evaluation results by the Bayesian feedback cloud method so as to improve the objectivity of the present research;finally,the improvement and implement measures are put forward for the existing problems on reliability.In the whole,the reliability on the ventilation system of the underground uranium mine can be strengthened properly by reference to the present research.