{'fraction_non_alphanumeric': 0.016361886429258902, 'fraction_numerical': 0.0, 'mean_word_length': 5.227544910179641, '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}}
The Model Construction of Multi-Objective Job Shop Based on Data Information

With the advent of the big data era, traditional industrial production and industrial manufacturing begin to turn to intelligent manufacturing, workshop production process becomes more intelligent and automated, multi-objective job shop complex networks model based on data information, one of the new fields of intelligent manufacturing research. The main contents of this paper are two points: One is to build a multiobjective job shop complex networks model using data information; Secondly, on the basis of the model, the key node of the model is found by using the fuzzy network analysis method, and the result of the key node evaluation is more objective by choosing the fuzzy network analysis method. Finally, the simulation results show that the model can be well applied to actual industrial production, and the fuzzy network analysis method can effectively mine the key nodes in the model, which proves the rationality and effectiveness of the method.