A comfortable thermal indoor environment is crucial for occupants’ well-being and productivity. Building Management System (BMS) is usually used to monitor the thermal condition of buildings. One of BMS's main challenges is in the data visualization stage, in which 2D vector graphics are used, which is not fully interactive and can only be manipulated by a trained operator. Building Information Modeling (BIM) has emerged as a useful tool in the construction industry, which can be applied in all stages of a project lifecycle. The use of BIM in facilities management is currently limited since BIM applications have primarily been implemented within the design and construction phases. The main objective of this study is to integrate a sensor-based alert system into BIM models for thermal comfort monitoring in buildings during the operational phase and visualize a building's thermal condition virtually. In order to improve the performance of environmental monitoring management of buildings in smart cities, this research presents a newly developed integrated solution based on a BIM platform and Internet of Things (IoT). The designed prototype explores the integration of commercial BIM platforms with sensor data to create a self-updating BIM model to provide real-time thermal condition monitoring based on the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) Standard within an office environment. The temperature and humidity values, measured by sensors, are sent to the MySQL database server. An integrated workflow was developed to compile, standardize, integrate, and visualize monitoring data in a BIM environment to facilitate interpretation, analysis, and monitoring data exchange. The developed system was able to detect the time and location of a case study office room experiencing the levels of thermal comfort/discomfort based on the targeted thresholds. In this case, thirteen levels of thermal discomfort cases, out of forty-nine data points during the test, were detected, and the developed system was also able to generate a trigger and transmit alarms to facility managers via their wireless devices in real-time. The results demonstrate that the proposed system is a visually effective monitoring system for environmental monitoring management. The fully automated developed system is expected to provide a robust and practical tool for reliable data collection, analysis, and visualization to facilitate intelligent monitoring of the thermal condition in buildings and help decision-makers make faster and better decisions, which may help in maintaining the level of occupants’ thermal comfort to a satisfactory level.

舒适的室内热环境对于乘员的健康和生产力至关重要。建筑物管理系统（BMS）通常用于监视建筑物的热状况。BMS的主要挑战之一是在数据可视化阶段，其中使用了2D矢量图形，该图形不是完全交互式的，只能由受过训练的操作员进行操作。建筑信息模型（BIM）在建筑行业中已成为一种有用的工具，可以应用于项目生命周期的所有阶段。BIM在设施管理中的使用目前受到限制，因为BIM应用程序主要是在设计和施工阶段实施的。这项研究的主要目的是将基于传感器的警报系统集成到BIM模型中，以在运营阶段监控建筑物的热舒适度，并虚拟地可视化建筑物的热状况。为了提高智能城市建筑环境监控管理的性能，本研究提出了一种新开发的基于BIM平台和物联网（IoT）的集成解决方案。设计的原型探索了商业BIM平台与传感器数据的集成，以创建一个自我更新的BIM模型，从而根据美国供热，制冷和空调工程师协会（ASHRAE）标准在其内部提供实时的热状态监测。办公环境。由传感器测量的温度和湿度值被发送到MySQL数据库服务器。开发了一个集成的工作流，以在BIM环境中编译，标准化，集成和可视化监视数据，以促进解释，分析和监视数据交换。开发的系统能够根据目标阈值检测经历热舒适/不适水平的案例研究办公室的时间和位置。在这种情况下，检测到了在测试过程中的49个数据点中的13种热不适情况，并且所开发的系统还能够生成触发器并将警报通过其无线设备实时发送给设施管理员。 。结果表明，所提出的系统是用于环境监测管理的视觉有效的监测系统。