理论研究 2024年 第53卷 第21期

DOI: 10. 7672 / sgjs2024210134

粒子群算法在老旧小区改造工程施工成本控制中的应用

苏倚晴

作者简介:

苏倚晴,助理工程师,E⁃mail:suyiqing123456@ yeah. net

作者单位:

中铁十八局集团北京工程有限公司,北京 100162

基金项目:

∗中铁十八局集团科研课题

摘要:

为研究老旧小区改造工程中成本控制方法,提出基于粒子群算法的成本控制策略,建立施工成本控制数学模型,将粒子群算法应用于该模型中,通过模拟粒子群运动过程,寻找施工成本控制最优方案,并通过案例分析验证方法可行性和有效性。研究结果表明,粒子群算法能够有效评价老旧小区施工成本控制策略,某老旧小区工程施工成本控制目标中,工程重点工序及工程难点工序具有明显的优先程度,对施工成本的影响较大;质量目标与安全目标是工程重点工序的关键问题,应加强质量与安全管控。老旧小区改造工程施工过程中,应根据材料、施工设备使用情况等,制定严格的施工方案和标准,加强材料采购、施工质量控制,实现整体施工成本的降低。

English:

To study the cost control methods of old residential district reconstruction, a cost controlstrategy based on particle swarm algorithm is proposed. A mathematical model for construction costcontrol is established, and the particle swarm algorithm is applied to the model. By simulating theparticle swarm motion process, the optimal solution for construction cost control is found, and thefeasibility and effectiveness of the method are verified through case analysis. The research results showthat particle swarm algorithm can effectively evaluate the construction cost control strategy of oldresidential districts. In the construction cost control objectives of a certain old residential district project,the key and difficult processes of the project have a significant priority,which has a significant impact onthe construction cost. Quality and safety objectives are key issues in key engineering processes, andquality and safety control should be strengthened. During the construction process of old residentialdistrict reconstruction, strict construction plans and standards should be formulated based on the use ofmaterials and construction equipment, and material procurement and construction quality control shouldbe strengthened to achieve a reduction in overall construction costs.