Information supervision project big data quality detection system and method

Abstract

The invention discloses an information supervision project big data quality detection system and method, and the system comprises a user login module, a quality inspection management module, a project quality inspection module, a project recording module and a data storage module, the output end of the user login module is connected with the input end of the quality inspection management module, the quality inspection management module is connected with the project quality inspection module, and the data storage module is connected with the project recording module. The output end of the quality inspection management module is connected with the input end of a project recording module, and the output end of the project recording module is connected with the input end of a data storage module; according to the invention, a big data technology and an artificial intelligence technology are utilized, a project quality detection model is constructed, personnel are assisted to carry out project quality detection work, personal errors are reduced, the accuracy of a quality detection result is improved, the supervision difficulty is reduced, system data are stored in a distributed manner, the storage amount is not limited by the scale of a local server, the data security risk is low, and the project quality detection efficiency is improved. The system performance is higher, and the service range is wider.

Description

technical field [0001] The invention relates to the technical field of information supervision, in particular to a big data quality detection system and method for information supervision projects. Background technique [0002] Project informatization supervision is a professional service activity that aims to provide users with project-related information and information processing capability support, and to monitor the construction and development behavior of the project. At present, in the process of supervision of related construction projects, the project quality inspection system is widely used to professionally control the construction quality of the project. [0003] However, the traditional quality inspection system project quality inspection system mostly relies on the quality inspection experience of personnel and the construction indicators of the project, which has large human error, inaccurate quality inspection results, and difficulty in supervision, and does ...

AI Technical Summary

Problems solved by technology

[0003] However, the traditional quality inspection system project quality inspection system mostly relies on personnel's quality inspection experience and project construction indicators, with large human errors, inaccurate quality inspection results, difficult supervision, and no detailed records of project quality inspection , which increases the difficulty of later responsibility tracing, the supervision work is rough, chaotic, and incomplete. In addition, the system data is stored in a centralized manner, and the storage capacity is limited by the scale of the local server. The data security risk is high, the system performance is poor, and the service scope is limited.

Images