A Mexican city is all set to
implement an intelligent street
lighting system which aims to
reduce carbon emissions and
promote energy savings
of up to 40%
A large number of cities face significant energy,
environmental and climate-related challenges.
In order to move towards a smart and sustainable
city, San Luis Potosi in Mexico is all set to
implement an intelligent street lighting system
which aims to promote energy savings of up to 40% and
reduce 330 kg of CO2 emissions per year per lamp. Mayor
Mario García Valdez is promoting this innovative and
modern computing architecture.
The system will have a georeferenced inventory of fixtures
and other information layers such as colonies, the city crime
rate, high-impact areas (churches, hospitals, tourist areas, etc.)
among other socioeconomic variables. This will allow better
services to citizens with a smart tool that not only generates
significant savings but automatically programmes the system
to lower the intensity of lights after midnight.
This programming can be done to the luminaires in safe
areas by simply selecting them in the intelligent lighting
system that operates through cloud computing. The system
knows immediately where a luminaire has stopped working.
The mobile maintenance services located through GPS can
use the machine-to-machine model in order to automatically
assign the addresses of the repair unit. The system aims to
replace 40,000 luminaires with LED technology, which is
known to reduce heat and light pollution.
A cadastral map of the municipality of San Luis Potosi
will be prepared at a scale of 1:1,000. The maps will
integrate the thematic layers allowing for designing of
intelligent management of the street lighting. For example,
neighbourhoods, blocks, streets, business, crime atlas, parks
and public gardens, traffic lights, video surveillance cameras,
banks, schools, hospitals, public buildings, universities
and land administration, etc. will be integrated in the map.
A georeferenced inventory of the electrical infrastructure
(transformers, poles, luminaires) will also be developed at
a scale of 1:1,000. The georeferenced cadastral system will
enable collaboration with transit systems, public safety and
businesses that helps to satisfy the lighting needs according
to operational requirement and an interface coordinated with
surveillance camera systems, risk systems, traffic lights to
improve services to the population.
The intelligent management geographic system for public
lighting will be implemented under an architecture of
cloud computing. There are plans for remote management
system for point-to-point control of the public lighting network
and a comprehensive system for intelligent street lighting.
Lighting design and services will be made according to
the registry of georeferenciated luminaires, national and international
norms and standards, as well as social conditions
that ensure citizen satisfaction.
The intelligent lighting system will not only result in
energy savings of up to 40% but is also expected to improve
the appearance of the city. The implementation of the system,
controlled by a remote management system, provides
an additional 20% of energy saving. It promotes a well-illuminated
city in a more intelligent way, which helps in turning
it into a safer city. It allows the design of a street lightning
public policy, considering the different needs of each
district or neighbourhood.
The system will also help in accurate control of electricity
consumption by a sector or colony, help in asset monitoring,
preventing robbery, programming changes, increasing the life
of the infrastructure and preventing and scheduling of preventive
maintenance, modification, change and growth.
