摘要
在工业领域,随着物联网和云计算技术的迅猛发展,智能监测系统在工业锅炉领域的应用逐渐成为研究与实践的焦点。工业锅炉作为生产过程中的关键设备之一,其安全运行和高效性对生产环境至关重要。传统的监测系统在数据采集、分析和实时响应方面存在一定的局限性,而物联网与云计算的融合为工业锅炉监测提供了全新的可能性。探讨一种有效的方法以提高工业锅炉的安全性、稳定性和效率。以火力发电锅炉为对象,构建起基于粒子群算法的工业锅炉智能监测系统,能够通过深入研究和分析物联网与云计算在工业锅炉监测中的应用,揭示新兴技术在提高生产效率、降低能耗、延长设备寿命等方面的巨大潜力,推动工业生产过程的数字化转型,促进工业领域智能化技术的应用与发展。
In the industrial field,with the rapid development of the Internet of Things and cloud computing technology,the application of intel-ligent monitoring system in the field of industrial boilers has gradually become the focus of research and practice.As one of the key equipment in the production process,the safe operation and high efficiency of the industrial boiler are very important to the production environment.Tra-ditional monitoring systems have certain limitations in data acquisition,analysis and real-time response,while the integration of the Internet of Things and cloud computing provides a new possibility for industrial boiler monitoring.A effective methods is explored to improve the safety,stability and efficiency of industrial boilers.Taking thermal power generation boilers as the object,an intelligent monitoring system for indus-trial boilers based on particle swarm optimization algorithm is built,which can reveal the great potential of emerging technologies in improving production efficiency,reducing energy consumption and extending equipment life through in-depth research and analysis of the application of Internet of Things and cloud computing in industrial boiler monitoring,and promote the digital transformation of industrial production process.Promote the application and development of intelligent technology in the industrial field.
作者
邹娜
ZOU Na(Xi'an Railway Vocational&Technical Institute,Xi'an 710014,China)
出处
《工业加热》
2025年第1期79-81,84,共4页
Industrial Heating
关键词
工业锅炉
粒子群算法
智能监测
industrial boiler
particle swarm algorithm
intelligent monitoring
