Data processing method and data processing system with intelligent expert detection function

Abstract

The invention discloses a data processing method and a data processing system with an intelligent expert detection function. The method comprises the following steps that: data of a reporting project is collected; 2, data in a main data table and each sub data table of a project reporting database is read, and whether the data conforms to the requirement or not is judged; and 3, the project data conforming to the requirement in the second step is synchronized to a review database from the project reporting database, projects conforming to the requirement are subjected to screening for three times, and data of a final winning project stored in a third cache region of the review database is output. The method and the system provided by the invention have the data judging advantages that the system automatically extracts duplicate checking factors for complicated matching calculation; artificial factors are reduced; the correctness of the duplicate checking result is improved; the workload of work personnel is reduced; and the work efficiency is greatly improved.

Description

technical field [0001] The invention relates to a data processing method and system with intelligent expert detection function. 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 and compare data, w...

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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