Development of Fuzzy Logic based Intelligent Accident Alarming System for Opencast Mine: A Case Study
Keywords:Safety, Likert Scale, Severity Index, Fuzzy Logic, Mamdani Fuzzy Inference System.
AbstractNow-a-days safety issues are the major issues in any industry, workplace etc. Increasing accidents not only reduce the safety in workplace also affects the economic strength of the industry, state and the country. An accident alarming system is one of the solutions for preventing accident in industry. However, it is very difficult to make mathematical, intelligent model for approximate the accident, as accident is not a measurable quality. In general, accident is not a measurable quantity. Factors associated or related to accident issues are also not measurable. Hence, these issues are coming under high uncertainty problem. Here the only choice is fuzzy logic, which can be applied for approximating the above issues as fuzzy logic is a universal approximation. In this research article, an attempt has been made to design an intelligent accident alarming system with fuzzy logic. Initially a mathematical model was developed using Likert scale with the severity index value. After the development of the model, appropriate factors were determined, and then fuzzy logic was used to develop an intelligent alarming system for prediction of accidents for anopencast coal mine.
How to Cite
Nanda, S. K., & Tripathy, D. P. (2020). Development of Fuzzy Logic based Intelligent Accident Alarming System for Opencast Mine: A Case Study. Journal of Mines, Metals and Fuels, 68(3), 103–112. https://doi.org/10.18311/jmmf/2020/26915