基于RPA机器人的电力企业财务报销自动审批方法

Dongmei Chen, Dan Xiao, Yu Li, Tianlong Shao, Wei Meng
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引用次数: 1

摘要

为了有效解决当前企业财务报销审计方法中审计误差大、操作效率低的问题,基于RPA机器人对财务报销自动审计方法进行了优化。结合数值概率算法,对大量财务报销数据进行合理分类,并将分类后的数据传送给财务项目配置模块审批。优化财务审计安全评价流程,检查审计处理结构的准确性,达到优化财务自动报销审计运行效果和准确性的设计目标。实验结果表明,基于RPA机器人的财务审计错误率明显低于传统方法,该方法的运行效率明显高于传统方法。
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Automatic approval method for financial reimbursement of electric power enterprises based on RPA robot
In order to effectively solve the problems of large audit errors and low operation efficiency in current enterprise financial reimbursement audit methods, based on RPA robot, the automatic financial reimbursement audit method is optimized. Combined with numerical probability algorithm, a large number of financial reimbursement data are reasonably classified, and the classified data is transmitted to the financial project configuration module for approval. This paper optimizes the safety evaluation process of financial audit, checks the accuracy of audit processing structure, and achieves the design goal of optimizing the operation effect and accuracy of financial automatic reimbursement audit. The experimental results show that the error rate of financial audit based on RPA robot is significantly lower than that of the traditional method, and the operation efficiency of the method is significantly higher than that of the traditional method.
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