Dynamic Light Environment Design of Smart Park Driven by Digital Twin:Lighting Demand Prediction and Multi-Scene Adaptive Regulation
LI Yanrong
Abstract：With the development of smart park construction,the comfort,energy efficiency and safety of the park's light environment have become important issues.Traditional static lighting design is difficult to meet the dynamic needs of multiple scenes.Based on digital twin technology,this paper constructs a virtual model of light environment in the park,and combines real-time sensing data to realize lighting demand prediction and adaptive control.The case analysis shows that the digital twin model can accurately predict the lighting demand of each functional area,dynamically adjust and optimize the lighting distribution and energy consumption,improve the comfort and uniformity of each area,and achieve significant energy saving.The research verifies the feasibility of the application of digital twin-driven light environment design in smart parks,and provides theoretical and practical reference for the optimization of park lighting.
Keywords：digital twinsmart parklight environmentadaptive regulationlighting demand forecasting
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：4( 24-27 )