Audit Method for Power Engineering Projects Based on Event Extraction and Verification Warning
A power engineering project audit method based on event extraction and verification warning is proposed to address the difficulties in integrating audit management and digital operations caused by the wide scope of business,multiple audit processes,and complex event cor-relations in power grid engineering projects.This method first constructs an audit business process based on an event framework to reduce the workload and business expansion pressure of modeling personnel;Then,using template matching combined with Transformer,the audit events recognized from fixed format text are used as remote learning knowledge to generate trigger word templates with clear prompt knowledge,and knowledge is supplemented as needed according to different project topics,thereby improving the accuracy of event extraction from non fixed format text;Finally,the identified audit events will be matched to different audit stages and event frameworks to support the verification and early warning of relevant audit events in accordance with project progress.The verification experiment shows that in low manually annotated text,the accuracy of event extraction using this audit method is not less than 93%,and the extracted events can be accurately embedded into the audit business process,supporting abnormal verification and early warning of related audit events.