Summary In recent years, with the development of the Digital Revolution, information technologies such as digital twins and virtual reality are gradually penetrating people's daily learning and living environment. The digital twin historic landscape street has the performance advantages of virtual reality integration, real‐time interaction, independent iteration, and dynamic perception. Taking the historical district of Yu Garden in Shanghai as an example, this paper builds a travel simulation model of the historical district based on the basic elements of the scene service of the digital twin district under the empowerment of “cloud, data and intelligence”. With the digital twin lamps as the physical entity, the passenger flow dynamic simulation data model is constructed. The effectiveness of the model was verified through simulation of the impact of passenger flow changes on passenger flow, and improvements and enhancements were made to smart lighting fixtures in the block. This study explores the rich application scenarios of digital twin historic blocks and creates a scenario‐based service model, which will fully activate various online and offline elements of historic landscape blocks, bringing users a brand‐new immersive experience.

Summary Color fusion is an extremely important part in the reconstruction design of historic and cultural blocks in the process of China's urban historic and cultural blocks transformation. Based on the deep learning algorithm, this paper constructs the color analysis model of cultural blocks, uses the multiscale feature semantic segmentation algorithm analysis technology of dual channel fusion for color research, extracts and analyzes the color of historic and cultural blocks, thus establishes its color fusion model, analyzes the color defects of Tianzifang historic and cultural scenic spot, and proposes to use plants, buildings and pavements to improve the color fusion degree of Shikumen cultural blocks.

Summary This article aims to study the design mechanism of landscape lamp modeling based on regional cultural characteristics by using intelligent design methods. Big data technology is used to mine regional cultural level factors from four dimensions: regional, cultural, artistic, and functional. The weight values of all these factors are ranked by analytic hierarchy process (AHP) evaluation system. Meanwhile, the objective fitness of interactive genetic algorithm (IGA) is constructed according to the weight values. Design rules are added to constrain individuals to influence the iteration and output of design process by intelligent means. The intelligent design mechanism of landscape lamp with regional cultural value is constructed by IGA. The intelligent design mechanism based on AHP‐IGA is helpful to improve the iterative efficiency of interactive process and reduce project development cost.