Data processing method and data processing system with system detection and biological recognition functions

Abstract

The invention discloses a data processing method and a data processing system with system detection and biological recognition functions. The data processing method comprises the following steps of: 1, collecting reporting project data; 2, reading data in each sub data table and a main data table of a project reporting database, and judging whether the data conforms to requirements or not; 3, synchronizing project data conforming to the requirements into a review database from the project reporting database, carrying out screening on projects conforming to the requirements for three times, and outputting the data of a final winning project stored in a third cache region in the review database. The method and the system have the data judging advantages that the system automatically extracts duplicate checking factors for carrying out complex matching calculation; the human factors are reduced; the correctness of a duplicate checking result is improved; the workload of workers is reduced; and the work efficiency is greatly improved.

Description

technical field [0001] The invention relates to a data processing method and system with system detection and biological identification functions. Background technique [0002] The current technology incentive management project has the following shortcomings in data processing: [0003] The amount of data in the science and technology reward management project is large, and a large amount of data needs to be processed every year. During the processing, the data screening is not reasonable enough. In addition, the existing system lacks the functions of automatic duplicate checking and automatic processing. [0004] It is difficult to screen a large amount of cumbersome data, and the processing process is not reasonable enough. The original system screened the data once, with a single screening basis, many human intervention factors, and lack of fairness and rationality. Manual data processing is heavy workload and low efficiency. The original system needs to manually check ...

AI Technical Summary

Problems solved by technology

[0003] The amount of data in the science and technology reward management project is large, and a large amount of data needs to be processed every year. During the processing, the data screening is not reasonable enough. In addition, the existing system lacks the functions of automatic duplicate checking and automatic processing

[0004] It is difficult to screen a large amount of cumbersome data, and the processing process is not reasonable enough. The original system screens the data once, and the screening basis is single. There are many human intervention factors and lack of fairness and rationality.

Manual data processing is heavy workload and low efficiency. The original system needs to manually check and compare the data. The work efficiency is low and the task is heavy.

[0005] When declaring scientific and technological awards, there are many application materials to be filled in. When the application materials are filled with the name of the project or the name of the thesis, the person who completed the project and the patent document, it is necessary to judge whether there is any suspicion of repeated application based on the name. At present, the work All are identified by humans. Due to the large amount of declared data, the accuracy of human identification is not enough

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