The Research And Implementation Of Network Culture Market : Supervision System Based On Double Random Inspection

The online cultural market is an emerging cultural market in cultural needs.However,with the rapid development of the online cultural market,many practical problems have also arisen.For example,there is a lot of harmful information such as violence and pornography in the online cultural market,and copyrights are frequently violated.Phenomenon emerges one after another,and the green development of the online cultural market is severely restricted.It is of great significance for the network culture market supervision department to build a network culture market supervision system with comprehensive supervision and law enforcement..This thesis carefully studies the research status of network culture market supervision at home and abroad.It analyzes the problems existing in the actual law enforcement process of the current network culture market supervision department.Given these problems,combined with the primary law enforcement business needs of the network culture market supervision department,this thesis designs and implements the network culture market supervision system based on double random inspection,including four main functional modules: system management,illegal clue management,enterprise credit management,and enterprise self-discipline management.Based on the regulatory concept of the "double random and one open" mechanism proposed by the State Council,the system realizes the random selection of law enforcement personnel to analyze illegal behaviors on illegal clues and random selection of enterprises for credit inspection.In randomly selecting inspectors to investigate the unlawful behavior for illicit clues,this thesis focuses on multi-modal illicit behavior clue analysis.The collected clues are analyzed by multi-modal data fusion of the illicit conduct through D-S evidence theory,which improves the accuracy of criminal clue judgment;Improves the efficiency of government supervision;this thesis builds an FR-net model based on in-depth learning to evaluate the credit risk of enterprises,and implements differentiated management on enterprises,which improves the effectiveness and accuracy of supervision.The network culture market supervision system is based on B/S architecture,adopts MVC design mode,develops the system through Java language and Jeecg framework,and uses My SQL database to store the data in the system.The system has a perfectly functional design,simple and convenient operation,vital ease of use,and good scalability,which can meet the actual law enforcement needs of the supervision department of the network culture market.