面向节能的电子设备运行状态轻量级数字孪生监测系统

Lightweight digital twin monitoring system for energy-saving electronic equipment running state

摘要:

针对电子设备运行过程中能耗高、监测精度低的问题,本文设计了一种面向节能的电子设备运行状态轻量级数字孪生监测系统。通过构建包含物理设备层、感知调控层、数据传输层、智能监测层和Web展现层的五层架构,采用STM32微控制器与多类型传感器采集设备状态数据,并基于GPRS技术实现数据远程传输。在云端服务器建立轻量级数字孪生模型,实现对设备运行参数的实时映射与监测,并设置阈值进行智能预警。实验结果表明,系统监测误差不超过±5%,应用该系统优化后,各终端设备电压稳定在215V–220V之间,运行季平均能耗降至0.0425?kW.h.m-2^.d-1,在数据量达50?GB时,系统传输延迟仅为3.86?s,体现出较高的数据传输效率和实时性。

Abstract:

Aiming at the problems of high energy consumption and low monitoring accuracy in the operation of electronic equipment, this paper designs a lightweight digital twin monitoring system for the operation status of electronic equipment. By constructing a five-layer architecture including physical device layer, sensing control layer, data transmission layer, intelligent monitoring layer and Web presentation layer, STM32 microcontroller and multi-type sensors are used to collect device status data, and remote data transmission is realized based on GPRS technology. A lightweight digital twin model is established in the cloud server to realize real-time mapping and monitoring of equipment operation parameters, and set thresholds for intelligent early warning. The experimental results show that the monitoring error of the system is less than 5%. After the system is optimized, the voltage of each terminal device is stable between 215 V and 220 V, and the average energy consumption in operation season is reduced to 0.0425 kW.h.m-2^.d-1. When the data volume reaches 50 GB, the transmission delay of the system is only 3.86 s, which shows high data transmission efficiency and real-time.