基于K-Means算法的建筑工程进度数据集成方法

Construction Engineering Progress Data Integration Method Based on the K-Means Algorithm

建筑工程施工的数据具有复杂多元的属性特征,导致集成数据在实际进度管理中的应用效果难以达到理想效果,为此,文章提出基于K-Means算法的建筑工程进度数据集成方法。考虑到不同施工内容对于施工材料、施工设备及施工人员需求方面存在差异,借助K-Means算法的建筑工程数据进行分类处理,并通过降低施工资源聚类簇的误差平方和对施工资源聚类中心进行适应性更新。在数据集成阶段,从各施工资源聚类数据构成的角度出发,对整体施工进度进行拟合。在测试结果中,截至目标施工周期,整体工程项目的实际执行进度为100%,对应的施工进度曲线斜率始终在大于0的区间范围内小幅度波动。

Due to the complex and multiple attributes of the construction data,it is difficult to achieve the ideal effect of the integrated data in the actual progress management.Therefore,the research on the construction project progress data integration method based on K-Means algorithm is proposed.Considering the differences of different construction contents for construction materials,construction equipment and the demand of construction personnel,the construction engineering data with the help of K-Means algorithm is classified and processed,and the construction resource cluster center is updated accordingly to reduce the error square sum of the construction resource cluster orientation.In the data integration stage,the overall construction progress is fitted from the perspective of clustering data composition of each construction resource.In the test results,as of the target construction cycle,the actual implementation progress of the overall project is 100%,and the corresponding slope of the corresponding construction progress curve always fluctuates slightly within the range greater than 0.