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作 者:石芬[1] SHI Fen(Xi'an Aeronautical Polytechnic Institute,Xi'an 710089,China)
出 处:《工业加热》2024年第11期37-40,共4页Industrial Heating
摘 要:制造业正朝着高度自动化的方向发展。智能控制系统可以集成传感器、数据采集和自动调节功能,实现对热处理炉的全自动控制,降低人工干预的需求。此外,数据和人工智能技术的发展为热处理炉温度控制提供了更多可能性。通过收集、分析和利用大量生产数据,可以优化控制策略,实现更智能的温度调控。热处理炉作为工业重要的生产设备之一,其温度控制直接关系到产品质量,需要根据不同需求准确调整炉膛温度。在论述热处理炉温度智能控制实践意义的基础上,探讨了智能模糊控制系统设定以及软件设计,希望能够通过智能控制系统,可以更有效地管理能源的使用,降低热处理过程中的能源浪费,提高能源利用效率,提高生产质量和灵活性,为企业在激烈的市场竞争中脱颖而出提供更为有力的支持。The manufacturing industry is developing in the direction of high automation.The intelligent control system can integrate sensors,data acquisition and automatic regulation functions to achieve fully automatic control of the heat treatment furnace and reduce the need for manual intervention.In addition,the development of data and artificial intelligence technology provides more possibilities for temperature control of heat treatment furnaces.By collecting,analyzing,and utilizing large volumes of production data,control strategies can be optimized for smarter temperature regulation.As one of the important production equipment in industry,the temperature control of heat treatment furnace is directly related to product quality,and it is necessary to accurately adjust the furnace temperature according to different needs.On the basis of discussing the practical significance of intelligent temperature control of heat treatment furnace,it discusses the setting of intelligent fuzzy control system and software design,hoping that through intelligent control system,energy use can be more effectively managed,energy waste in heat treatment process can be reduced,energy utilization efficiency can be improved,production quality and flexibility can be improved.Provide more powerful support for enterprises to stand out in the fierce market competition.
分 类 号:TG155.1[金属学及工艺—热处理]
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