Smart City
AI to transform urban life
Use Case 1
Decarbonization of public buildings with AI
Implement artificial intelligence (AI) solutions in the management and operation of public buildings to optimize energy consumption, reduce carbon emissions and move towards the decarbonization of the public housing stock, aligning with the climate neutrality and energy efficiency objectives established by the European Union.
Positive impacts:
- Significant reduction of CO₂ emissions: AI allows dynamic and automatic adjustment of air conditioning, lighting and other consumption systems, reducing the carbon footprint of public buildings.
- Optimization of energy consumption: Real-time data analysis and decision automation make it possible to identify and eliminate inefficiencies, achieving substantial energy savings.
- Economic savings for the administration: Reduced energy consumption translates into lower operating costs and greater budget efficiency.
- Regulatory compliance and institutional leadership: The digitization and decarbonization of public buildings positions the administration as a benchmark in sustainability and compliance with European regulations.
Use Case 2
Proactive planning of sustainable mobility needs
Enable public administration to anticipate and dynamically adjust urban mobility needs through artificial intelligence, integrating mobility, climate and seasonality data into a datalake. This facilitates decision making based on predictive analytics to manage population growth and design more efficient and sustainable transportation systems.
Positive impacts:
- Optimization of public transportation routes and frequencies, reducing waiting times and improving system efficiency.
- Reducing congestion and pollutant emissions by forecasting traffic patterns and adapting mobility supply according to actual demand and weather conditions.
- Improved resource allocation and infrastructure planning, prioritizing investments in areas of greatest growth or need.
- Increased responsiveness to seasonal, climatic or population events, adapting mobility services in a proactive manner.
Positive results
%
Reduction of travel times
%
Decrease in CO₂ emissions.
%
Accuracy of mobility demand forecasts
Use Case 3
Intelligent water management
Implement intelligent water management systems based on artificial intelligence (AI) and big data to monitor in real time, optimize the use of water resources, detect leaks and anomalies, predict demand and reduce operating costs, contributing to a more sustainable and efficient management of the integral water cycle.
Positive impacts:
- Significant reduction of leaks and water losses through early detection and predictive analysis, which improves operational efficiency and conserves resources.
- Reduced operating costs by automating monitoring, maintenance and incident management, reducing the need for manual interventions.
- Regulatory compliance and environmental sustainability, facilitating automatic reporting and compliance with environmental regulations
Use Case 4
Intelligent Waste Management
Implement that automatically detects waste deposited outside the containers at the clean points after the passage of waste collection trucks and that allows optimizing collection routes.
Positive impacts:
- Optimization of driver and truck utilization with intelligent planning.
- Contribution to a more sustainable provision of the waste incident management service.
- Improved monitoring and control capacity of the personnel in charge of managing the service.
Positive results
%
Reducing truck fuel consumption
%
Reduction of Co2 emissions
%
Decrease in incident resolution time
The company Qaleon has been awarded the PADIH program to carry out the project "Assistance in the collection of waste in street containers by means of vision. Advice and Proof of Concept" The PADIH call for proposals is funded by
