GeoAI and cloud technology in Kerava municipality

Abstract

This thesis examines how the municipality of Kerava, Finland, is integrating geographic information systems (GIS) and artificial intelligence (AI) through cloud technologies to improve pipeline management systems. The application of three-dimensional (3D) modelling and GeoAI systems is a major focus. The introduction of these integrations is necessary to improve the management of water supply and sewerage systems and infrastructure in general.This study explores how using cloud systems, AI and GIS, working together, can create accurate 3D models to simplify the management and maintenance of pipeline networks in the Kerava municipality. The study began with a general overview of various technologies in GIS and AI. The pros and cons of this integration with cloud systems were then discussed in detail. The GIS system is the main tool for managing pipeline information in Kerava. This data includes topographic maps and satellite images. However, this integration facilitates clear visualization of the condition, type and location of the pipeline AI, by automating the process, improves this system, greatly increasing the accuracy and efficiency of various pipeline monitoring and management operations. This is necessary for effective resource management, as well as reducing risks such as accidents. The thesis also described the scalability and reliability that is achieved using cloud computing that supports extensive data processing. This is essential for efficient pipeline management.

The results show that GIS, AI and cloud technologies are simplifying the modelling process, providing improved accessibility of various piping systems. This integration has the potential to change infrastructure management to a more reliable one, using advanced technologies for the sustainable development of the Kerava municipality.