基于物联网的重离子加速器状态诊断系统研究与设计

为更好地保障中国科学院近代物理研究所重离子加速器（HIRFL）的稳定运行，本文研究设计了基于物联网的状态诊断系统。针对HIRFL中设备数量庞大、种类复杂的特点，采用物联网的设计架构，利用各种传感器进行数据采集，并通过网络传输给中央控制系统中的数据库，由服务器中运行的控制软件对这些数据进行综合分析，给出合理的建议并发出相应的指令。根据HIRFL的实际情况，初步设计了1个HIRFL状态诊断系统模型，包括底层的硬件设计和上层的软件设计以及界面设计。部分控制界面已上线运行，并在实际运行中得到了检验，取得了一定的加速器状态诊断效果。

Research and Design of HIRFL Status Diagnosis System Based on Internet of Things

A status diagnosis system based on the internet of things (IoT) was designed in order to better guarantee the stable operation of the Heavy Ion Accelerator (HIRFL) of the Institute of Modern Physics, Chinese Academy of Sciences. In view of the large number and complexity of the devices in HIRFL, the IoT design architecture was used in this paper, various data were collected by a lot of sensors and transmitted to the database in the central control system through the network. The data were analyzed comprehensively by the control software running on the server, some reasonable advices were given and corresponding instructions were issued. According to the actual situation of HIRFL, a HIRFL state diagnosis system model was designed preliminarily, including the hardware and software. Some of the software is put online and tested in the actual operation, and a certain accelerator state diagnosis effects are obtained.