中国动物检疫2025，Vol.42Issue(11)：43-49,7.DOI:10.3969/j.issn.1005-944X.2025.11.008
海关动植物检疫样本智能管理探索
Explorations on Intelligent Management of Customs Animal and Plant Quarantine Samples
摘要
Abstract
In response to the problems in the management of customs animal and plant quarantine samples,such as gaps in data collected,lack of transport supervision,risks in laboratory operations and difficulties in traceability,a comprehensive intelligent monitoring system was constructed to improve the effectiveness of border biosafety management.In the study,a closed-loop system covering sample collection,intelligent transport,laboratory testing and disposal traceability was designed through integrating QR code technology,radio frequency identification(RFID),the internet of things(IoT)and blockchain technology.End-to-end digital traceability,real-time anomaly alerts and forensic-level preservation of testing data were achieved through anti-counterfeit labels and APP standardized guidelines during sampling,intelligent leak-proof containers with constant-temperature control and real-time environmental monitoring during transport,direct connection among devices and preservation of blockchain evidences during testing,and biosafety safeguarded by reminders of intelligent retention of samples and automated disinfection during post-processing.Risk prediction and regulatory decision-making were also supported.The efficiency and safety of sample management could be greatly improved by the intelligent management system spanning the entire lifecycle of samples,which served as an achievable technical solution for customs intelligent supervision,playing a practical role in preventing biosafety risks and optimizing resource allocation.关键词
动植物检疫/海关/样本智能管理/全流程监控/区块链溯源/物联网技术/实验室检测/生物安全Key words
animal and plant quarantine/customs/sample intelligent management/end-to-end monitoring/blockchain traceability/IoT technology/laboratory testing/biosafety分类
农业科技引用本文复制引用
张敏爱,苑利,高媛惠,贾晓婷,张志华,李岩..海关动植物检疫样本智能管理探索[J].中国动物检疫,2025,42(11):43-49,7.基金项目
海关总署科研项目(2024HK254) （2024HK254）
