As global urbanization continues to accelerate, lighting systems in urban roads, communities, and public spaces are not only core infrastructure for ensuring commuter safety but also a crucial showcase for urban governance and sustainable development. Currently, achieving energy conservation and consumption reduction, improving energy efficiency, and adapting to diverse scenarios through intelligent control in cities of varying climates and sizes has become a critical challenge facing urban management departments worldwide.
Traditional urban lighting control methods have significant common pain points and are unable to meet the needs of global urban development:
(1)Traditional streetlights in most cities around the world still rely on high-pressure sodium lamps or fixed-power LEDs, which run at full power throughout the night and cannot be dimmed even in the early morning when traffic is sparse, resulting in excessive consumption of electricity resources.
(2)Management models lack intelligence. Some European and American cities rely on manual timers, and rainy areas in Southeast Asia find it difficult to respond to weather and light changes in a timely manner. This leads to widespread energy waste worldwide.
(1) Unable to dynamically adjust according to actual scenarios: European urban commercial areas require high brightness due to the concentration of people at night, while suburban roads have low demand late at night, making it difficult for traditional control to accurately match the requirements.
(2) Lack of energy consumption data visualization capabilities, unable to calculate the energy consumption of individual lamps by region and time, making it difficult for most urban management departments around the world to quantify energy-saving effects.
(3) Fault detection is delayed. Some cities in Africa and Latin America rely on residents' reports or manual inspections, resulting in long troubleshooting cycles. (4) High manual maintenance costs. Large cities around the world have a large number of street lamps, and nighttime inspections are inefficient and unsafe, resulting in high long-term operating costs.
(1) Street lights cannot automatically turn off or dim during unoccupied hours (e.g., early morning, during holidays, and during the day), wasting electricity, shortening lamp life, and increasing replacement costs.
(2) Smart devices (e.g., security monitoring, environmental sensors, and WiFi access points) in many locations around the world must be installed on separate poles, duplicating the construction of street light poles and wasting public space and infrastructure investment.
(1)Brightness cannot be adjusted dynamically with sunlight: In Northern Europe, where sunlight is weak in winter, and in the Middle East, where road sections are dark under strong midday sunlight, traditional streetlights cannot provide targeted supplemental lighting.
(2) Inability to adapt to weather: In Northern Europe, where visibility is low due to snow and fog, and Southeast Asia, where visibility is low during the rainy season, traditional streetlights cannot increase brightness to ensure safety, affecting the travel experience of residents in different climate zones around the world.
These shortcomings make traditional lighting systems difficult to implement centralized monitoring, quantitative statistics, and efficient maintenance, making them unable to meet the shared needs of global cities for refined management and low-carbon development. In this context, smart city lighting systems, integrating the Internet of Things, sensors, and cloud-based management technologies, have become a core direction for global urban infrastructure upgrades.
Post time: Sep-12-2025