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Building Information Model and Optimization Algorithms for Supporting Campus Facility Maintenance Management: A Case Study of Maintaining Water Dispensers

机译:用于支持校园设施维护管理的建筑信息模型及优化算法 - 以维护水分配器为例

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摘要

Effective management for the maintenance of water dispensers dispersed throughout an academic campus is essential for ensuring the quality of drinking water. Conventionally, water dispenser maintenance is conducted approximately bimonthly or when a passive fault notice is obtained. This maintenance frequency usually results in ineffective allocation of maintenance staff and poor maintenance quality. This study proposes a new model for campus facility maintenance management that enables maintenance staff to maintain water dispensers at the optimal time and select the shortest maintenance path. The proposed model was developed using the maintenance information of the Construction Operations Building Information Exchange obtained from building information models of multiple buildings, water dispenser operation data from a water dispenser monitoring module, and an optimization algorithm developed by integrating Dijkstra's algorithm, simulated annealing, and a genetic algorithm to identify the shortest maintenance path. The proposed model was tested on a campus in Northern Taiwan. The application results revealed that maintenance strategies could be systematically established to determine the optimal time to dispatch maintenance staff based on the lowest unit cost criterion; this approach was also used to identify the shortest maintenance path through multiple buildings.
机译:用于维护在整个学术校园内分散的水处理器的有效管理对于确保饮用水的质量至关重要。传统上,水分配器维持大致分散,或者在获得被动故障通知时进行。这种维护频率通常导致维护人员的效率无效和维护质量差。本研究提出了一种新型校园设施维护管理模式,使维护人员能够在最佳时间内维护水分配器,并选择最短的维护路径。所提出的模型是使用从多建筑物的建筑信息模型获得的施工操作的维护信息开发,来自水分配器监测模块的水分配器操作数据,以及通过集成Dijkstra算法,模拟退火和开发的优化算法一种识别最短维护路径的遗传算法。拟议的模型在台湾北部的校园里进行了测试。申请结果显示,可以系统地建立维护策略,以确定根据最低单位成本标准派遣维修人员的最佳时间;这种方法还用于识别通过多个建筑物的最短维护路径。

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