基于人工智能技术的工程项目进度控制与优化方法研究

Research on Scheduling Control and Optimization Methods of Engineering Projects Based on Artificial Intelligence Technology

在信息化、智能化日益发展的时代背景下,人工智能技术以其强大的数据处理能力和精准的预测分析能力,正在逐渐改变众多行业领域的传统运作方式。论文深入探讨基于人工智能的工程项目进度控制及优化方法,结合机器学习和深度学习技术,创新性地提出项目进度控制模型,可实时监控、预测风险并自动调整进度计划。同时,研究基于人工智能的资源分配和调度算法,以提高资源利用率。通过案例和模拟实验验证方法的有效性,为项目进度控制提供新的理论支持和实践指导。

In the context of the increasing development of informatization and intelligence,artificial intelligence technology,with its powerful data processing capabilities and accurate predictive analysis capabilities,is gradually changing the traditional operation methods in many industries.The paper delves into the progress control and optimization methods of engineering projects based on artificial intelligence.By combining machine learning and deep learning technologies,an innovative project progress control model is proposed,which can monitor and predict risks in real-time and automatically adjust the schedule.Meanwhile,research artificial intelligence based resource allocation and scheduling algorithms to improve resource utilization.By verifying the effectiveness of the method through case studies and simulation experiments,new theoretical support and practical guidance are provided for project schedule control.