System and method for materials process control

Abstract

System and method for optimizing the processing of materials, particularly the processing of cotton in a cotton gin or a textile mill. Cotton moisture, color, and foreign matter measurements are made with electronic sensors at three stations. For a gin, a dynamic programming model uses input information relative to the moisture and trash content, color, lint turnout, staple length, cotton price structure, and energy costs to select an optimum drying and cleaning sequence for the cotton. The dynamic programming model optimizes cotton producer profits by selecting the amount of gin machinery necessary to achieve the most beneficial market value while minimizing the machinery used. Automated directional valves are used to route the cotton through the selected optimum combination of seed cotton cleaners, multi-path driers, and lint cleaners. For a mill, algorithms are used to select an optimum mill machine sequence that maximizes lint quality, and automated directional values are used to route lint through the selected sequence of cleaners.