Automated verification and risk early warning system for engineering audit data

Abstract

The present invention relates to the field of data validation technology and discloses an automated engineering audit data validation and risk warning system, wherein data is obtained from participants of engineering projects, data features are extracted to analyze the rationality of the data, abnormal data is determined based on the rationality assessment, and for non-abnormal data, compliance, consistency, integrity, and accuracy of the data are calculated and validated. Based on the validation results from the data validation module, abnormal data conditions are determined and a signal is sent to the data feedback module, wherein a warning message is output according to the determination results. The system addresses the problem of incomplete and easily overlooked verification of data compliance and consistency dimensions in traditional audits, wherein multidimensional quantitative validation covers core data quality indicators, enabling comprehensive identification of risk points, making data quality evaluation and risk determination more objective and consistent, and avoiding human error.