A “digital twin” is a virtual and dynamic representation of a real-world object, system or process (in this case a city, Cuzco). Using technologies such as GIS, artificial intelligence, and simulation, the digital twin makes it possible to monitor, analyze, and predict the behavior of the real element in real time.
This digital replica provides detailed and accurate data to optimize performance, detect failures, simulate scenarios, and improve the design and operation of the object or system. It is a valuable tool in various fields, such as the manufacturing industry, predictive maintenance, infrastructure, city management (the case in question), and product development.
High-resolution GIS mapping products serve as a source, basis, and potential link to city services like cleaning, lighting, and urban planning. They enable geoprocessing and analysis of complex problems for data-driven decision-making, closely reflecting reality.
In addition, we had the opportunity to show live a flood analysis carried out in the city based on these same data, to show the benefits in terms of relevance and accuracy.
It was broadcast live here, starting at the second 2:27:45: https://fb.watch/lTHDVpRJ49/
We would like to thank the organization of the Instituto Metropolitano de Planificación (IMP) and more specifically its head Daniel Romero, for the invitation to participate and learn from a great variety of high-level speakers, such as Paul Waddel, from the University of Berkeley (URBANSIM) or Miluska Rosas from the Pontificia Universidad Católica del Perú (whose topic was “Risks in storage in water reservoirs”).
We aim to gradually generate interest in acquiring high-resolution, high-added value data, facilitating analysis, and aiding public sector decision-making.
