
Deep research on big data index analysis method in intelligent manufacturing industry
Author(s) -
YuXiang Song
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1884/1/012001
Subject(s) - big data , computer science , data mining , manufacturing , data science , statistical analysis , index (typography) , data analysis , value (mathematics) , manufacturing engineering , industrial engineering , engineering , machine learning , business , statistics , mathematics , marketing , world wide web
Big data analysis is widely used in intelligent manufacturing industry. Data analysis refers to analyzing a large amount of data collected by appropriate statistical and analytical methods, summarizing and understanding them, and digesting them, so as to maximize the development of data functions, give full play to the role of data, and improve and strengthen the intelligent level of manufacturing system. Data analysis is to extract useful information and form conclusions, and to study and summarize the data in detail. The data of intelligent manufacturing system is also called observation value, which is the result of experiment, measurement, observation and investigation. The data processed in data analysis is divided into qualitative data and quantitative data. The results of data analysis are of great significance in the intelligent manufacturing industry.