Application of Soft Computing Technique for Mining Machinery to Optimize Productivity –An Apprasal

Abstract

Excavation on the mother earth has been increased due to high demand of raw materials all over the world in last decade. To optimize the time frame for any project, utilization of HEMM machines has been introduced in open pit mines in the country. Till date there is no full scale soft computing technique available for hundred percent utilization of HEMM machines in the country. Technological innovation in soft computing techniques has brought automation capabilities to a whole new level. Process control is an important application of any industry for controlling the complex system parameters, which can greatly benefit from such advancements. Conventional control theory is based on mathematical models that describe the dynamic behavior of process control systems.Exponential growth in soft computing technologies has marked new milestones in powerful representation, modeling paradigms and optimization mechanisms for solving modern controller issues. Soft computing has provided sophisticated methodology for the development of industrial process controllers. It is considered to be a state-of-art approach to artificial intelligence. With the emergence of high performance computing power, design engineers have applied artificial intelligence techniques to a wide spectrum of real-world problems in intelligent and autonomous control.This paper presents critical review of application of soft computing technique for mining machinery to optimize productivity using fuzzy logic and genetic algorithm for maximum utilization of modern HEMM equipment’s in opencast mining operations in the country.