基于智能信息处理技术的火电厂运行优化研究  

Research on Optimization of Thermal Power Plant Operation Based on Intelligent Information Processing Technology

作　　者：徐晓宇 罗谢超 陈干勇 翁巧凯 黄章建 XU Xiaoyu;LUO Xiechao;CHEN Ganyong;WENG Qiaokai;HUANG Zhangjian

机构地区：[1]国能(福州)热电有限公司,福建福州350309

出　　处：《今日自动化》2025年第2期185-187,共3页Automation Today

摘　　要：传统火电厂运行管理依赖于人工经验和简单自动化控制系统,难以全面、实时地处理和分析海量运行数据,导致运行效率不高,资源浪费和环境污染问题突出。近年来,随着大数据、云计算、人工智能等技术的快速发展,智能信息处理技术逐渐成熟并广泛应用于各行业,为火电厂实现高效、清洁、智能化运行提供了可能。文章分析了智能信息处理技术在火电厂运行优化中的应用,提出了智能信息处理技术在火电厂具体运行环节中的优化策略,以期为相关人员提供参考。Traditional thermal power plant operation and management rely on manual experience and simple automated control systems,making it difficult to comprehensively and real-time process and analyze massive operational data,resulting in low operational efficiency,resource waste,and prominent environmental pollution problems.In recent years,with the rapid development of technologies such as big data,cloud computing,and artificial intelligence,intelligent information processing technology has gradually matured and been widely applied in various industries,providing the possibility for thermal power plants to achieve efficient,clean,and intelligent operation.The article analyzes the application of intelligent information processing technology in optimizing the operation of thermal power plants,and proposes optimization strategies for intelligent information processing technology in specific operational stages of thermal power plants,in order to provide reference for relevant personnel.

关 键 词：智能信息处理 火电厂 运行优化 

分 类 号：TM621[电气工程—电力系统及自动化]