Views: 0 Author: Site Editor Publish Time: 2026-05-28 Origin: Site
Urban lighting is an important part of municipal operations, and how to balance lighting effectiveness with energy conservation and consumption reduction, making lighting operation and decision-making more efficient, is a key issue in smart municipal construction. China Mobile Kunling IoT (OneNET) has created two new core AI capabilities for urban lighting scenarios: AI intelligent dynamic dimming and AI intelligent street light assistant. With the support of intelligent algorithms and big model technology, it has equipped urban lighting operation and maintenance with an "intelligent brain", achieving a new upgrade of precision, efficiency, and intelligence in lighting management.
AI intelligent dynamic dimming: intelligent brightness adjustment, energy-saving and sufficient
As a new AI capability for urban lighting scenes, AI intelligent dynamic dimming has changed the traditional fixed brightness mode of street lamps. It can automatically adapt and adjust the brightness of lamps according to various influencing factors, optimize energy consumption from the root, and accurately meet the lighting needs of different roads and time periods, truly achieving on-demand dimming and scientific light control.
This capability creates two core intelligent configuration libraries, making dimming management more flexible and efficient, comprehensively covering the lighting needs of daily and special scenarios. The multi factor configuration library can flexibly set various influencing factors, and the system automatically calculates the optimal brightness through intelligent algorithms, maximizing energy savings while ensuring lighting effects; The preset dimming strategy library has built-in customizable dimming templates that support quick deployment and flexible adjustment, greatly improving operational efficiency.
Whether it is precise dimming according to time, holidays, important events, intelligent adaptation based on city location, natural lighting, pedestrian and vehicle flow, or flexible dimming in emergency scenarios, AI intelligent dynamic dimming capability can be easily achieved. It can also automatically identify faulty equipment and timely supplement lighting, ensuring the stable operation of the lighting system in all aspects. At the same time, users can also view and manage dimming tasks at any time, making lighting management fully controllable.
AI intelligent street light assistant: natural language interaction, hassle free operation and maintenance decision-making
The AI intelligent street light assistant based on big models, with natural language interaction as its core, can empower the entire process from knowledge query to intelligent dimming, from energy consumption prediction to decision support without complex operations. It is not only an intelligent assistant for operation and maintenance personnel, but also provides scientific data reference for government decision-making.
The assistant can accurately understand voice or text instructions, quickly provide professional feedback, and solve various needs in lighting operation and decision-making in one stop. Not only can it automatically generate data charts according to instructions, but it also presents core information such as device access and energy consumption statistics intuitively; It can also integrate comprehensive operational data of equipment, automatically diagnose faults, analyze causes, and provide clear guidance for frontline fault troubleshooting. At the same time, it can automatically organize and generate professional reports on equipment assets, lighting control effects, etc., saving a lot of tedious manual work. In terms of knowledge inquiry and data mining, the assistant can quickly answer professional questions such as lighting industry standards, policies and regulations, and integrate multiple module data to achieve accurate queries such as energy consumption ranking and regional lighting analysis, helping to quickly locate the root cause of problems. In addition, the assistant can also call dimming strategies with just one click through commands to achieve intelligent dimming linkage. It can also accurately predict the energy consumption and equipment loss of street lamps, automatically generate statistical reports, and provide scientific basis for energy-saving control and equipment maintenance planning.
In the future, China Mobile IoT will continue to focus on the practical needs of the smart municipal field, continuously iterate and upgrade the integration capabilities of AI and IoT, enrich intelligent application scenarios, inject more intelligent momentum into the construction of smart cities, and build a solid municipal foundation for refined urban management.
