摘要
针对热电联供(CHP)系统中存在的通信速率低、数据丢包率高、调度响应滞后和负荷预测精度不足等问题,研究了基于MODBUS协议的通信网络优化与智能调度策略。在物理层,采用光纤与屏蔽双绞线结合的方式增强抗干扰能力;在数据链路层,引入动态轮询机制平衡通信负载;在应用层,采用报文压缩与循环冗余校验(CRC)机制提升通信完整性。结合长短期记忆网络(LSTM)模型进行负荷预测和非支配排序遗传算法Ⅱ(NSGA-Ⅱ)进行调度优化,以提升系统调度精度,加快响应速度。通过数据采集与监视控制(SCADA)系统功能扩展和三维可视化升级,增强系统操作性和智能化水平。实验结果表明,该优化方案在提升通信稳定性、降低运行成本和改善用户体验方面均具有良好的实用性和推广价值。
To address issues such as low communication rates,high data packet loss rates,delayed scheduling responses,and insufficient load forecasting accuracy in Combined Heat Power(CHP)systems,research is conducted on communication network optimization and intelligent scheduling strategies based on the MODBUS protocol.At the physical layer,a combination of optical fiber and shielded twisted-pair cables is adopted to enhance anti-interference capabilities.At the data link layer,a dynamic polling mechanism is introduced to balance communication loads.At the application layer,message compression and Cyclic Redundancy Check(CRC)mechanisms are employed to improve communication integrity.The Long Short-Term Memory(LSTM)model is utilized for load forecasting,and the Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ)is applied for scheduling optimization to enhance system scheduling accuracy and accelerate response speed.By extending the functionality of the Supervisory Control And Data Acquisition(SCADA)system and upgrading it to three-dimensional visualization,the system′s operability and intelligence level are enhanced.Experimental results indicate that this optimization scheme demonstrates good practicality and promotional value in improving communication stability,reducing operational costs,and enhancing user experience.
作者
庞维建
PANG Weijian(Kawen Industry(Tianjin)Co.,Ltd.,Tianjin 030032,China)
出处
《自动化应用》
2025年第18期228-231,共4页
Automation Application
