BIM ve IOT entegrasyonu yoluyla dijital ikiz prototip ve simülasyon hattı önerisi

In recent years, the notion of building information modelling (BIM) has expanded beyond 3D geometric representations to encompass seven more dimensions. Time, cost, sustainability, and facilities management are some of these aspects. These measurements can be combined using BIM into a single digital model to provide a complete picture of a building project at every stage of its life. In this industry, decision-making, goal- achievement, teamwork, and speed will all be greatly facilitated. The concept of a digital twin is based on the utilization of BIM and real-time IoT data, which may be leveraged to improve building and operational efficiency. Nevertheless, there are few levels of research performed about BIM-IoT integration for the digital twin approach in the construction field, especially environmental monitoring. Further examination of the positives and negatives of this integration becomes a very important issue. The position of the IoT sensors in this chain is to assist the BIM models in data gathering and interpretation, thus enhancing the precision of project monitoring and predictive maintenance processes, which is for sure one of the demands for sustainable development. With the use of building information modelling technologies and the internet of things, this study seeks to develop a pipeline for creating digital twins that deviates from previous research in terms of automated data collection and visualization techniques. Furthermore, increased automation and real-time asset visualization are provided by the combination of building information modelling and the internet of things. The experiment consisted of simulating and prototyping to assess the proposal pipeline, and a prototype was built with data collection using IOT sensors, Arduino, modelling in BIM, and automation using the Dynamo platform. The prototype of a 35 square-meter room was virtually tested out, and the results demonstrated that application of the predicted mean vote parameters of environmental convenience might restrict the amount to which the available findings can be spread to other regions with different climates. Furthermore, in addition to predictive maintenance, the building can be continuously monitored and modified to improve its energy efficiency and comfort level thanks to API capability based on IoT devices and real-time sensor data. It will additionally provide the evaluation with the quality of assessment via its practice of both maintenance and measure planning for the future.