A Method for Conscious Retrofitting Based on Handheld Laser Scanner and Environmental Data

The research behind this paper focuses on the connection between moni-toring the environmental quality of a sample building and the corresponding digital model. The data got from the sample will be extended to a related typology of build-ings, thus generating a method for conscious retrofitting of a large portion of the built environment. To conduct this study, a digital ecosystem comprising the model and a series of environmental sensors has been prepared. Within this digital environ-ment, it is possible to visualize the data acquired from real-life sensors directly into the model. The Digital twin method, in which there is a direct cause/effect corre-spondence between the real artifact and the digital alter ego, is foundational to this experimentation. Environmental data gained from the building dialogues with the digital model and returns to the physical reality as indicators. Once these indicators have been verified on the sample, they can be implemented in other related build-ings. Sensors measuring temperature, pressure, humidity and light radiation were concurrently applied to the building. The data flow is bidirectional, from the sensors to the model and vice versa. In the initial direction, the sensors transmit data to the digital model through a series of steps. The sensors communicate with a digital ecosystem. Once the procedure has been verified to work, it can be replicated with ease, since open-source Arduino components were used for the sensor part. These, besides being easy to find and economically viable, can be adapted and reproduced with extreme simplicity because-according to the Arduino philosophy-both the oper-ating codes and the electronic production diagrams of the individual components are freely available.