基于可视化物联网的公立医院固定资产数字孪生监控平台研究

Research on digital twin monitoring platform of fixed assets in public hospitals based on visual Internet of Things

为改善传统公立医院固定资产管控平台日益凸显的诸多不足,构建了基于可视化物联网的公立医院固定资产数字孪生监控平台。引入可视化物联网仿真建模技术构建物理实体与虚拟镜像的双向实时数据耦合交互机制;利用融合事件驱动的虚实映射技术实现物理实体数据模型与虚拟镜像孪生模型随动;利用深度卷积神经网络对数字孪生随动系统进行特征辨识,实现时间正序下的固定资产可视化实时自主监控。开展了工程应用实践验证,平台在固定资产审计成本、效益产出、故障预测等层面具有显著定量化优势。

In order to improve the many deficiencies that have become increasingly prominent in the fixed asset management and control platform of traditional public hospitals,the digital twin monitoring platform for fixed assets of public hospitals based on the visual Internet of Things has been constructed.Introduce visual IoT simulation modeling technology to build the two⁃way real⁃time data coupling interaction mechanism between physical entities and virtual mirrors;Use the fusion event⁃driven virtual⁃real mapping technology to realize the follow⁃up of the physical entity data model and the virtual mirror twin model;The deep convolutional neural network is used to identify the characteristics of the digital twin follow⁃up system,and realize the visualized real⁃time autonomous monitoring of fixed assets under the positive time sequence.Carried out engineering application practice verification,the platform has significant quantitative advantages in terms of fixed asset audit costs,benefit output,and failure prediction.