Title :
A Novel Application of Variable Fuzzy Set on Alarming of Coalmine Gas
Author :
Zhao Jinhui ; Li Mingliang ; Qian Xu ; Jia Lijuan
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
A novel alarming assessment model of coalmine gas is presented in this paper. Based on the information fusion technique of multi-sensor, we introduce the thought of variable fuzzy set to assess complicated and risk coalmine gas. Through information fusion we can get more effective and reliable data about coalmine gas. The method for variable fuzzy set theory can reasonable identify the relative membership degree between the sample indexes and standard interval of each level index, and reasonably determine the evaluation of each sample by varying the model and its parameters. The numerical examples show that the proposed method is feasible and effective, and the evaluation results are reasonable.
Keywords :
coal; fuzzy set theory; industrial accidents; mining; production engineering computing; sensor fusion; alarming assessment model; coalmine gas accidents; coalmine gas disaster; information fusion technique; variable fuzzy set; Alarm systems; Concrete; Fuses; Fuzzy set theory; Fuzzy sets; Information security; Monitoring; Production; Safety; Sensor phenomena and characterization; Alarming assessment; Coalmine gas; Information fusion; Variable fuzzy set;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.395