Abstract
Filter press operation is a batch process that is performed semi manually. In an operation with one or two filter presses, manual decision making is a straight forward task. In this paper we show how to use the artificial intelligence to harmonize the operation of filter presses (four or more) to increase the availability and throughput of the operation. This AI algorithm is borrowed from gaming industry to provide a persona for each filter press. With this persona, each filterpress assesses the upstream and downstream situation, as well as, the efficiency of its filtering. Based on status of other filterpresses, each filterpress decides what is the most optimum action to be taken. AI algorithm, allows individual decision making to be synchronized with all other filterpresses so that the final throughput is maximized and the filtration cost is minimized. Each filterpress decides if it is time to filter, wash, change cloth or stay idle to preserve energy. In this talk we show implementation results as well as live interactive demo to showcase the intelligence behind the technology. Using this technology we are able to step toward autonomous operation in tailing.