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The ultimate goal is to enhance the scientificity, interactivity, and overall coordination of ULD, and achieve higher quality design results. This article deployed an environmental sensor network for real-time data collection, collecting 100 sets of data per hour, including parameters such as temperature, humidity, lighting, noise, and air quality. Data analysis tools can be used to process environmental data, build a VR display platform to provide an immersive design experience, and develop a multi-professional collaborative design platform (CDP) to achieve real-time collaboration. In terms of method effectiveness evaluation, it provided a detailed evaluation of the environmental adaptability, user interaction experience, collaborative work efficiency, and design quality of the design scheme. The effectiveness and superiority of the article\u2019s method have been verified through environmental simulation, multi-environmental condition testing, user experience survey, and expert review. Before and after the launch of the CDP, the average design cycle was reduced from 120 days to 90\u00a0days. 80% of users believed that the platform improved design efficiency, and 75% of users expressed satisfaction with the platform\u2019s collaborative functions. The research highlights the significant impact of the presented method on improving the quality and efficiency of urban landscape design (ULD). In the design quality evaluation, Design 10 achieved the highest scores in aesthetics and innovation, showcasing the platform\u2019s strengths in fostering design creativity and enhancing visual effects. These evaluations underscore the method\u2019s scientific approach, interactivity, and overall coordination, demonstrating its effectiveness in advancing ULD practices.<\/jats:p>","DOI":"10.1177\/14727978251322051","type":"journal-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T13:48:36Z","timestamp":1741096116000},"page":"615-629","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Design of environmental perception and computer virtual reality technology in urban landscape design"],"prefix":"10.1177","volume":"25","author":[{"given":"Huihui","family":"Wang","sequence":"first","affiliation":[{"name":"Xinxiang University"}]}],"member":"179","published-online":{"date-parts":[[2025,3,3]]},"reference":[{"issue":"4","key":"e_1_3_2_2_2","first-page":"27","article-title":"Characterizing the data landscape for digital twin integration in smart cities","volume":"8","author":"Alam S","year":"2023","unstructured":"Alam S. 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