智能优化控制：核电工程项目进度安全高效实现

人工智能在家居设计中的应用日益广泛，为提高效率、降低成本和提升用户体验提供了有力支持。本研究以EPC模式下核电站建设项目进度智能优化控制为主题，探讨了在控制、质量控制和安全控制方面的关键问题，并提出了实施进度优化控制的有效方案。通过及时修改和调整进度计划，并采取模糊遗传优化等方法对进度进行动态控制，确保项目总进度目标的实现。通过本研究，较好解决了核电工程项目进度控制问题，为核电站建设项目的顺利进行提供了有力支持。 关键词：核电项目、进度计划、模糊遗传优化、优化控制 核电被世界上大多数国家所接受作为一种安全和清洁的能源，在热电站和水电站之后成为一种成熟和广泛应用的能源。因此，近年来核电站的建设进展迅速。然而，由于核安全等原因，核电站建设项目往往会出现延误的情况。通过本研究的控制和优化方案，项目进度得到了较好的控制，项目进度的有效管理和调整，为核电工程项目的顺利实施提供了有力支持。 Abstract Nuclear power has been accepted by most countries in the world as a kind of safe and clean energy. It became a mature and widely-used energy after thermal power and water power. Therefore, nuclear power station developed very quickly in recent years. However, the construction of nuclear power station is delayed for the reasons of nuclear safety. Through the study of control, quality control, and safety control, and proposed an effective implementation plan for progress optimization control. By timely modifying and adjusting the schedule and dynamically controlling the progress using methods such as fuzzy genetic optimization, the overall progress goals of the project are ensured. Through this study, the issue of progress control in nuclear power engineering projects has been effectively addressed, providing strong support for the smooth implementation of nuclear power plant construction projects.