基于物联网和神经网络的实验室安全智慧化管理系统  

Smart Management System of Laboratory Safety based on Internet of Things and Neural Network

作　　者：汤志伟 黄亮[1,2] 施书彬[1] TANG Zhiwei;HUANG Liang;SHI Shubin(College of Civil Engineering,Hefei University of Technology,Hefei 230009,China;Anhui Key Laboratory of Civil Engineering Structures and Materials,Hefei University of Technology,Hefei 230009,China)

机构地区：[1]合肥工业大学土木与水利工程学院,合肥230009 [2]合肥工业大学土木工程结构与材料安徽省重点实验室,合肥230009

出　　处：《实验室研究与探索》2025年第1期249-256,共8页Research and Exploration In Laboratory

基　　金：国家自然科学基金青年项目(52008145);合肥工业大学大学生创新创业训练计划项目(S202210359103)。

摘　　要：为实现高校实验室全过程、全要素、全覆盖监管,设计并开发了一套基于物联网和神经网络的实验室安全智慧化管理系统。该管理系统通过智能仪表和串口服务器的联合组网与透明传输实现了物联网云平台对设备、环境、人员等实验室运行状态的实时监测;再通过BP神经网络算法实现火灾风险概率分级主动示警和危险情况应急处置。实验表明,该系统的火灾误报率降至0%,将火灾报警时间缩短30%以上,提高了实验室安全信息化和智慧化管理水平,具有一定的推广应用价值。In order to realize the whole process,all elements and all coverage supervision of university laboratories,this paper designs a smart management system of laboratory safety based on Internet of Things(IoT),and neural networks.The management system combines the joint networking and transparent transmission of smart meters and serial servers to realize the real-time monitoring of equipment,environment,personnel and other laboratory operating status by the IoT cloud platform,and then realizes the fire risk probability grading active warning and emergency disposal of dangerous situations through the BP neural network algorithm.Practice shows that the system reduces the false fire alarm rate to 0%,shortens the fire alarm time by more than 30%,improves the laboratory safety informatization and intelligent management level,and has the value of popularization.

关 键 词：物联网 实验室安全 神经网络 智慧化管理 

分 类 号：X84[环境科学与工程—环境工程]