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April 1, 2026电子通信与计算机科学0 citationsOpen Access

人工智能在燃煤电厂安全生产领域的应用与实践

隽薛隽 薛程陈程 陈张张铃灵

Key Points

  • The aim is to explore how artificial intelligence can transform safety production in coal-fired power plants.
  • Systematic analysis of AI applications in equipment monitoring, fault diagnosis, combustion optimization, and risk management.
  • Examination of current challenges in data quality, algorithm generalization, and system reliability.
  • Proposal of a four-dimensional development approach involving data, algorithms, scenarios, and talent.
  • Identified key areas where AI can enhance safety in power plants.
  • Outlined challenges that hinder the implementation of AI technologies.
  • Suggested a new model for predictive maintenance and intelligent control to improve safety practices.

Abstract

随着新一代信息技术与能源产业深度融合,人工智能(ai)技术凭借其强大的数据处理、模式识别与自 主决策能力,成为推动燃煤电厂安全生产转型升级的核心驱动力。本文围绕燃煤电厂安全生产的核心痛点,系统分析 了人工智能技术在设备状态监测与故障诊断、燃烧优化控制、安全风险预警与应急管理、人员行为规范监管等关键领 域的应用原理与实践案例。通过梳理当前ai技术在电厂应用中面临的数据质量、算法泛化性、安全可靠性及人才体系 等挑战,提出了“数据—算法—场景—人才”四位一体的发展路径,为燃煤电厂借助ai技术构建“预测性维护、智能 化控制、全方位预警”的安全生产新模式,提供了一定的理论参考与实践借鉴。

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Cite This Study

薛 et al. (2026) studied this question.

synapsesocial.com/papers/69cd79e15652765b073a6b78https://doi.org/10.37155/2717-5170-0801-42
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