为解决实验室监管环节数字化程度低、数据安全保障难度大、监测预警效率低等问题。该文介绍了基于Java EE 11技术规范的生物安全监管矩阵，在MVC架构模式上实现RESTful规范，监管矩阵包括1个平台(生物安全在线监管平台)和4个系统(生物安全眼实验室监管系统、实验室生物安全评价系统、病原微生物样本运输系统、病原微生物实验室备案系统)。该矩阵已在800余家单位完成部署使用，记录异常数据20余万条，帮助相关实验室整改风险点11余万个，帮助实验室管理人员及时发现异常并处置，实现实验室生物安全数字化治理。
Practice and prospect of intelligent supervision of biosafety laboratories in Zhejiang Province
[Objective]To solve the problems of low efficiency,small coverage,and inability to trace back in real-time in the supervision of biosafety laboratories,Zhejiang Province constructed a biosafety supervision matrix of'one platform+four systems'to achieve fine and intelligent supervision of biosafety laboratories.[Methods]A new biosafety laboratory monitoring system has been built to receive real-time data on laboratory personnel,equipment,highly pathogenic biological samples,experimental behavior,the environment,and other biosafety elements and to achieve encrypted storage,analysis,early warning,and transmission over a dedicated network and authorized query functions.The new laboratory biosafety evaluation system ensures full traceability of laboratory inspection and evaluation and establishes a closed-loop assessment of self-inspection,mutual inspection,report,rectification,and re-inspection to urge laboratories to rectify the problems promptly.The new pathogenic microorganism sample transport system integrates the Internet of Things,wireless transmission,BeiDou positioning,remote control,geographic information system maps,and other technologies on the intelligent sample transport box to achieve sample transport path monitoring,track positioning,data synchronization,abnormal alarm,and other online transport monitoring functions.Whole-process safety protection of pathogenic microorganism strains(viruses)and the sample transport process,which is visible,traceable,and preventable,is realized.Docking with the pathogenic microorganism laboratory filing system is implemented to achieve real-time supervision of laboratory personnel,equipment,and subject filing.A new biosafety online monitoring platform is proposed to visually present the"unit-county(district)-city"overall biosafety situation,including sample transportation(e.g.,status monitoring,receiving units,and approval units),laboratory safety(e.g.,self-examination issues,problems spotted during laboratory assessment,and problems that have not been rectified),laboratory filing for cities and counties(districts),and visual evaluation of experimental activities.To solve the problems of low efficiency,small coverage,and high risk of biosafety laboratory supervision system,Zhejiang Province has built a biosafety supervision matrix of'one platform+four systems'to realize the fine and intelligent supervision of biosafety laboratories.Based on the Java EE 11 technical specification,the RESTful specification is implemented on the traditional MVC architecture model,and the'biosafety online'supervision platform,'Sheng'an Eye'supervision system,laboratory biosafety evaluation system,pathogenic microorganism sample transportation system,and pathogenic microorganism laboratory filing system are unified.[Results]The intelligent supervision system for biosafety laboratories has been deployed and used in more than 800 units in Zhejiang Province,recording approximately 200 000 pieces of abnormal data,helping the relevant laboratories to rectify more than 110 000 points of risk,and realizing early warning within 3 s of the environmental monitoring abnormalities and an accuracy of more than 95％in identifying abnormal behavior of personnel.The system helps laboratory managers discover and dispose of abnormal situations in time and realizes closed-loop management of laboratory biosafety.[Conclusions]The intelligent supervision system for biosafety laboratories achieves online supervision and closed-loop processing of laboratory biosafety,improves laboratory biosafety risk control and early warning and disposal capabilities,and strongly supports the modernization,intelligence,and refinement of the governance of biological laboratories.In the future,the linkage between the monitoring platform and other systems should be further expanded,the accuracy of algorithms,such as behavioral recognition,should be improved,and network channels and encryption algorithms should be strengthened.
万方数据
维普
