Accounting data processing system

Abstract

The invention discloses an accounting data processing system, which comprises a registration module, a man-machine operation module, a data auditing module, a data mining module, a data marking module, a data organizing module, a data recording and extracting module, a data positioning module, a data encryption module, an identity authentication module, a data retrieving and calling module, a data typesetting module, an operation data recording module, an abnormal behavior evaluation module, a data automatic superposition and summation module, a financial statement automatic generating module and a central processing unit. The account data processing system avoids repetition and conflicts of data while realizing real-time updating of a database, and automatically realizes establishment of an association relationship of the data; meanwhile, the accounting data processing system also realizes sharing of data within the authority, and input of each piece of data carries identity information of an inputter; and the accounting data processing system realizes the traceability of data and operation data and real-time monitoring for the operation data, and ensures the safety of the financial data.

Description

Technical field [0001] The invention relates to the field of data processing, in particular to an accounting data processing system. Background technique [0002] Existing financial data processing systems mostly use artificial positioning of financial data storage locations, which can easily lead to confusion in financial data storage. At the same time, financial data is also prone to conflict and duplication, which will undoubtedly increase the financial data search function The workload of the system also makes errors occur in the system during data query, and all financial data and system operation data have no traceability, and the security of financial data is difficult to guarantee. [0003] At the same time, for a specific information target, how to analyze the relationship between the target and other goals has more practical significance in many fields, because the target with the relationship is often larger than a simple individual when performing various activities. I...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing financial data processing systems use artificial positioning of financial data storage locations, which can easily lead to confusion in financial data storage. At the same time, financial data can easily cause conflicts and duplications, which will undoubtedly increase the search function of financial data The workload also makes the system make mistakes when querying data, and all financial data and system operation data are not traceable, and the security of financial data is difficult to be guaranteed.

[0003] At the same time, for a specific information target, how to analyze the relationship between the target and other targets has more practical significance in many fields, because targets with related relationships often have a greater impact than individual simple individuals when performing various activities. Influence surface; moreover, when establishing various activities externally, targets with related relationships will be restrained or supported by internal related relationships, which will be more complicated than the activity trajectory of simple targets.

However, in real life, the amount of original information is huge, the distribution of key information is scattered, the value density of information is low, and the relationship between information objects is very complicated and generally hidden. Perceived, it is more difficult to find out whether the goal is related to other goals

Images