A method for automatic process processing of accounting data

By processing accounting data through automatic collection, optical character recognition and improved machine learning algorithms, combined with corporate financial processes, efficient, accurate and secure automated processing of accounting data is achieved, solving the problems of inefficiency and lack of accuracy in traditional accounting data processing, and improving the timeliness and security of corporate financial management.

CN120256507BActive Publication Date: 2025-09-19SHANDONG JIANZHU UNIV
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Patent Information

Application Number
CN202510747862.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-06
Publication Date
2025-09-19
Estimated Expiration
2045-06-06

AI Technical Summary

Technical Problem

Traditional accounting data processing involves manual data entry, which is time-consuming, error-prone, and inefficient. This affects the timeliness of financial work, and data accuracy is difficult to guarantee, posing risks to corporate decision-making.

Method used

Adaptive interfaces are used to automatically collect data, optical character recognition technology is used to process paper invoices, and a random forest classification model is constructed in combination with an improved machine learning algorithm. Data is classified and standardized based on the company's accounting subject system, and data is automatically processed according to the financial approval process, with real-time monitoring and encrypted storage.

Benefits of technology

It improves data processing efficiency and accuracy, enhances data security, optimizes financial management decision support, reduces the time and cost of manual operations, and ensures data integrity and reliability.

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Abstract

The present invention provides a method and system for automatic process processing of accounting data. Data is collected by connecting to the internal business system of an enterprise through an adapter interface, and the data is cleaned by combining OCR technology and a professional vocabulary library. An improved random forest algorithm is used to construct a classification model based on attribute weights according to accounting professional knowledge, so as to achieve accurate classification and standardization of data. According to preset financial process rules, reimbursement, procurement payment and other processes are automatically processed and monitored in real time, and timely warnings are issued in case of abnormalities. The processed data is encrypted and stored, and a backup and authority management mechanism is established. Financial statements can also be automatically generated and displayed visually. This invention solves the problems of low efficiency and easy errors in traditional accounting data processing, improves data processing efficiency and accuracy, ensures data security, and provides efficient support for corporate financial management.
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