Research and application of intelligent invoicing and management system based on RPA technology

Yu Yang; Donghui Jin; Xiuhua Chen; Liqiang Gao; Peng Wang

doi:10.1117/12.2685852

15 August 2023 Research and application of intelligent invoicing and management system based on RPA technology

Yu Yang, Donghui Jin, Xiuhua Chen, Liqiang Gao, Peng Wang

Author Affiliations +

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271918 (2023) https://doi.org/10.1117/12.2685852
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

Operation ticket issuing is one of the daily work of substation operation and maintenance. The current traditional invoicing mode has some problems, such as insufficient intelligence and efficiency. In order to improve the existing invoicing mode, shorten the draft time, reduce the error rate, and improve the quality and efficiency, this paper proposes an intelligent invoicing and management system based on Robotic Process Automation (RPA) technology. RPA robot is used to replace traditional manual invoicing, realizing automatic batch invoicing of the whole process of corresponding operation tickets, and simplifying the mechanized invoicing process of operation and maintenance personnel. Through the management system, the completed operation ticket is photographed and uploaded, the training set is built using the neural network model for character recognition, and the corresponding operation ticket content is backfilled to achieve the statistical analysis of the operation ticket data. Practice has proved that the input of the system can effectively shorten the invoicing time, save resources and improve work efficiency.

Citation Download Citation

Yu Yang, Donghui Jin, Xiuhua Chen, Liqiang Gao, and Peng Wang "Research and application of intelligent invoicing and management system based on RPA technology", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271918 (15 August 2023); https://doi.org/10.1117/12.2685852

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