基于条件生成对抗网络的实验室红外监控系统

Laboratory infrared monitoring system based on conditionally generated countermeasure network

实验室作为科研基地,其中存储了很多珍贵的资料和危险物品,因此,进行安全监控是十分必要的。在此背景下,设计一种基于条件生成对抗网络的实验室红外监控系统。借助B/S三层架构设计系统框架,分为采集层、网络层和应用层,将MySQL作为支撑,设计数据库。以STC89C52单片机为核心,主控各个外围硬件,搭建系统硬件。以ZigBee技术为基础组建系统的无线传输网络,用于远程传输。设计监控系统功能单元,通过采集单元采集实验室红外图像并利用预处理单元对实验室红外图像实施去噪、亮度调节、图像分割预处理,基于条件生成对抗网络(cGAN)设计异常识别单元,判断监控图像中是否存在异常情况并以此为依据进行预警。结果表明:系统对异常的监控结果与真实情况一致,由此证明了所设计的监控系统性能较高。

As a scientific research base,the laboratory stores a lot of valuable data and dangerous goods,so it is necessary to carry out safety monitoring.In this context,a laboratory infrared monitoring system based on conditionally generated countermeasures network is designed.The system framework is designed with the help of B/S three-layer architecture,which is divided into acquisition layer,network layer and application layer.MySQL is used as the support to design the database.With STC89C52 single chip microcomputer as the core,it controls the peripheral hardware and builds the system hardware.Based on ZigBee technology,the wireless transmission network of the system is established for remote transmission.The function unit of the monitoring system is designed.The infrared image of the laboratory is collected by the acquisition unit,and the pretreatment unit is used to carry out noise removal,brightness adjustment,and image segmentation pretreatment for the infrared image of the laboratory.The anomaly recognition unit is designed based on the condition generation countermeasure network(cGAN)to determine whether there is any anomaly in the monitoring image and give early warning based on it.The results show that the monitoring results of the system are consistent with the real situation,which proves that the designed monitoring system has high performance。