Pengcheng Ding
ABSTRACT
To respond to the new requirements of digital auditing and better prevent and identify audit risks in key links in power grid engineering projects, in order to solve the problems of low efficiency and poor traceability in the audit process of existing power projects, a method for digital audit method for evaluating the rationality of power grid engineering cost is proposed. This method first constructs a power grid engineering cost index system based on a multi-layer tree structure; then, based on the cost influencing factors of each input factor, the Bayesian Network algorithm is used to construct a correlation diagram of the cost index influencing factors. Finally, the time convolution network is used to estimate the single index of the underlying input factor price, and combined with the cost index system, the comprehensive index of input factor price and the comprehensive entity unit cost index are estimated from the bottom up. By setting thresholds and comparing them with actual cost data, suspicious points in power grid engineering audits are identified. Experiments show that this method can realize the identification of suspicious key audit links with bottom-up and full coverage. Compared with models constructed by other similar algorithms, the identification accuracy is high, the model training difficulty is low, and it has significant rationality and usability.
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Index Terms
- Research on Digital Audit Method for Reasonableness Evaluation of Power Grid Engineering Cost
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