運用BIM輔助施工日報數量之估算

BIM-BASED MODEL TO SUPPORT QUANTITY TAKEOFFS IN CONSTRUCTION DAILY REPORTS

10.6652/JoCICHE.201706_29(2).0006

王琨淇(Kun-Chi Wang)；吳偉豪(Wei-Hao Wu)；王維志(Wei-Chih Wang)

建築資訊模型 ； 施工日報 ； 數量計算 ； 施工管理 ； building information modeling (BIM) ； daily report ； quantity takeoffs ； construction management

中國土木水利工程學刊

29卷2期（2017 / 06 / 01）

119 - 126

繁體中文

施工日報之記載為營建工程管理最重要工作之一，詳實記錄每日完成之成本項目數量，可用於工程進度之管控。然施工項目(工項)涉及之成本項目(如鋼筋與混凝土等)種類繁多，估算不同成本項目之施作數量實屬不易，傳統上常靠工程師主觀判斷，而降低施工日報之準確性。本研究提出一套以建築資訊模型輔助產生每日各工項完成數量之模式，此模式建立元件成本項目與數量計算間之關係，透過記錄現場施作之成本項目數目(如梁主筋10根)或完成百分比(如梁主筋80%)，便可估算出每日之施作數量。經案例工程測試，所提模式應可輔助施工日報數量之估算。

Recording of Construction daily report is one of the most crucial jobs in construction management. Within the report, detailed record of number of workers, equipment usage quantity, and most importantly the quantitative information of what was accomplished daily can be used to evaluate or manage construction progress. However, it is difficult to make quick estimation of cost items finished in one day because construction project often associates to various cost items such as raw materials like steel, wall forms, and concrete… etc. Hence, in tradition, skilled engineers will need to be on site to make estimations subjectively according to their experience, in which lowers the accuracy of these daily reports. This study proposed a method using BIM (Building information modeling) as support to calculate daily completion quantity of each construction project. This method develops a relationship between component cost items (columns, beams, slabs, and walls) and quantity takeoff, so that when an engineer records cost item used quantity (for example, 10 main steel rebar of beam and 1 side of wall form) or records completion percentage (for example, completed 80% of main steel rebar of beam and 50% of wall form), estimation of daily completion quantity will be calculated. By applying it to a case study, the results show the proposed method can indeed support quantity estimation in daily construction reports, and future study can aim to improve proposed method by making it more automatic.

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