The Building and Application of a New Model of Digital Intelligence Supervision and Control of Customs Hazardous Chemicals Based on Deep Learning
Strengthening the safety supervision and control of hazardous chemicals is an important task at present,which is related to the life and health of the people and the economic security of the country.By simulating the structure and function of the human brain neural network,deep learning realizes the automatic learning and analysis of massive data,providing a new perspective for customs intelligent supervision and control of hazardous chemicals.In the context of serving enterprises,accelerating customs clearance and shortening the inspection process,this paper proposes to build a new model of digital intelligence supervision and control of hazardous chemicals based on"front-end digital identification + intelligent review + result perception".Through the aggregation of multi-source data resources,transformation of digital knowledge and experience,and development of intelligent supervision and control equipment,AI assists customs officers in identifying and judging the danger of goods.The successful pilot run in Dalian Customs shows that this model can effectively enhance work efficiency and law enforcement of customs officers,strengthen the effectiveness and pertinence of hazardous chemicals supervision and control,and therefore provide a reference for customs reform of smart supervision and control of hazardous chemicals.
supervision and control of hazardous chemicalsintelligent equipmentcustoms supervision and controldeep learningneural network
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