{'fraction_non_alphanumeric': 0.018950437317784258, 'fraction_numerical': 0.0, 'mean_word_length': 6.231578947368421, '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}}
A new manufacturing resources integration and sharing modes in big data environment

The scale effect of big data brings great challenges to manufacturing resource integration, modeling, analysis and sharing. According to the application requirements, function requirements, performance requirements and operation conditions of manufacturing resources integration and sharing (MRIS) in big data environment, the characteristics of manufacturing resource big data are analyzed, then, a MRIS framework and three kinds of MRIS methods are proposed, such as physical centralization by merging the data source, physical centralization by maintaining the data source and logic centralization.