Data statistic analysis platform system

Abstract

The invention discloses a data statistic analysis platform system. The data statistic analysis platform system comprises a register module, a man-machine operation module, a data processing module, a data classifying module, a data statistic analysis module, a central processing unit, a physical model building module, a virtual actuator, a virtual parameter module, a simulated analysis module, an expert assessment module, an identity authentication module and a data retrieval and calling module. The data statistic analysis platform system completes data processing and auditing through the own data processing function, and data duplication and collision are avoided while a database is updated in real time; data sharing in the authority limit is achieved, each data entry carries identity information of an entry worker, data traceability is achieved, and data storage and calling are safer; models corresponding to different data are calculated based on Flac3D numerical simulation, analysis accuracy is improved, and data simulated analysis is achieved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a data statistical analysis platform system. Background technique [0002] With the advent of massive data and the era of big data, business applications have to face higher and higher requirements for big data processing capabilities. For the analysis and processing of big data, distributed storage technology and distributed computing technology are mostly used at present. For the current popular analytical business applications, they all have their own analysis techniques and models, and they need to collect data into their own programs and then perform targeted analysis techniques. But when faced with big data analysis, if many current commercial applications load big data to the server where the application is located at the same time, it will cause overload and cause the program to crash. At the same time, the requirements for statistical analysis can only be entered in text....

AI Technical Summary

Problems solved by technology

But when faced with big data analysis, if many current commercial applications load big data to the server where the application is located at the same time, it will cause overload and cause the program to crash. At the same time, the requirements for statistical analysis can only be entered in text. When encountering uncommon characters or special symbols, it is easy to encounter situations where the requirements cannot be input, which leads to great limitations in the use of the system; and the existing data analysis system cannot perform data simulation analysis, resulting in relatively poor data analysis results. one-sided

Images