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基于SOA的医院设备控制系统设计

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SOA作为一种非常流行的系统架构设计思想,在各个领域的系统设计中得到了广泛使用;研究对象是一套基于SOA开发的医院设备控制系统;该设备控制系统具备了医疗设备实时监控功能,历史设备使用信息、状态信息、维护信息等的可视化展示功能,以及对医院全部设备的实时监控功能;该系统采用基于web service技术实现SOA架构思想,通过分布式的架构设计方法实现了对系统内部功能模块之间复杂逻辑关系的服务治理;此外,为解决医疗设备控制中关键的设备状态感知和故障预警问题,研究设计了一个基于actor-critic强化学习算法的设备状态感知和故障预警算法,实验表明,经过多轮迭代,该算法的预测准确率高达到97。9%,可以有效实现对医疗设备的状态感知和故障预警;经过对系统的部署、测试和验证,证明了该系统可以有效完成项目开始之初设定的功能性和非功能性需求,可以有效承担医院医疗设备管理的任务。
Design of Hospital Equipment Control System Based on SOA
As a very popular system architecture design idea,service oriented architecture(SOA)is widely applied in various sys-tem designs.The research object is an SOA-based hospital equipment control system.The equipment control system has the real-time monitoring of medical equipment,visual display of historical equipment use information,status information,maintenance information,and real-time monitoring of all equipment in the hospital.The system uses web service technology to realize the SOA architecture ide-a,and realizes the service governance of complex logical relationships between internal function modules through the distributed archi-tecture design method.In addition,in order to solve the key equipment state perception and fault early warning in medical equipment control,a device state perception and fault early warning algorithm based on actor-critic reinforcement learning algorithm is researched and designed.Experiments show that after multiple iterations,the prediction accuracy of the algorithm reaches up to 97.9%.The al-gorithm can effectively realize the state perception and fault warning of medical equipment.After the deployment,testing and verifica-tion of the system,it can effectively complete the requirements of set functions and non-functions at the beginning of the project and undertake the tasks of hospital medical equipment management.

SOAweb servicehospital equipment control systemreinforcement learningactor-critic algorithms

钱顺鑫、胡晓峰、张之晨

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复旦大学附属华山医院北院装备科,上海 201907

SOA web service 医院设备控制系统 强化学习 actor-critic算法

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(7)
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