Big data intelligent reception and evidence storage system and method based on artificial intelligence

Abstract

The invention discloses a big data intelligent reception and evidence storage system and method based on artificial intelligence, and relates to the technical field of intelligent petition, and the method for achieving artificial intelligence comprises the following steps: (S1) data obtaining: obtaining data information of a petition event through a data collection layer; (S2) data processing: screening and cleaning the obtained big data to obtain effective big data, and realizing storage, encryption, calculation and sharing of the data through a block chain system or a cloud server; (S3) datacalculation: calculating association between data through a data mining algorithm, or classifying petition data according to user requirements and set attributes, mining relationships between petition events for the preprocessed big data through an association algorithm model, and realizing classification of various petition events by utilizing a data classification algorithm model; and (S4) dataapplication: in a data application layer, carrying out data transmission on the calculated data for a user to use. According to the invention, the petition data management capability is improved.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, and more specifically relates to a system and method for intelligently receiving interviews and storing evidence based on artificial intelligence big data. Background technique [0002] In the existing technology, face recognition technology can only realize the identification of the user's identity information, and the early warning information is not smart enough to give early warning of detailed information, such as the number of petitions, when was the last petition, what was the reason for the petition, and each reception Who is the handling staff, the result of each complaint handling, etc., and the warning level sign showing the petitioner is difficult to identify, the big data management ability is lagging behind, in the related business system, the interface is complicated and the data is scattered , the operation is inconvenient, it cannot provide the guidance fu...

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, face recognition technology can only realize the identification of the user's identity information, and the early warning information is not smart enough to give early warning of detailed information, such as the number of petitions, when was the last petition, what was the reason for the petition, and each reception Who is the handling staff, the result of each complaint handling, etc., and the warning level sign showing the petitioner is difficult to identify, the big data management ability is lagging behind, in the related business system, the interface is complicated and the data is scattered , inconvenient to operate, unable to provide guidance function for the whole process of the case, unable to provide full-cycle management of the case, unable to view and analyze the case from a global perspective, and implement specific tasks

For the records of the petition process, it only stays at the level of security monitoring, and the data is easy to be tampered with and easily condensed, so it cannot provide the electronic data storage function at the level of judicial evidence storage

For geographical classification, time classification, core keyword classification, etc., manual operation cannot automatically form analysis charts, and cannot conduct comprehensive intelligent analysis and research on petition work

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