{'fraction_non_alphanumeric': 0.01447876447876448, 'fraction_numerical': 0.0, 'mean_word_length': 5.959731543624161, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Simplified Factory Energy Management System based on operational condition estimation by sensor data

This paper describes a visualization technique to analyze causalities among the productivity indices and energy for improving energy efficiency of factory equipment. Recently, energy-saving has been important worldwide. Especially, energy-saving for factories is very important in manufacturing. Meanwhile, productivity indices must be kept in manufacturing process. Thus, we realize the improvement of energy efficiency on factory equipment by adding our visualization technique to conventional Factory Energy Management System. Our visualization technique quantifies the operational condition of equipment by the energy consumption and the equipment behavior. As the result of the visualization in our factory, our proposed technique could successfully improve the energy efficiency on a molding machine, a press machine and compressors without a negative effect to the productivity that means production volume and supply pressure.