Design quality management of Shenzhen industrial park urban renewal project integrating BIM and VR

Abstract

With the rapid development of Shenzhen’s economy, there is an urgent need for a large number of urban core industrial parks that meet modern needs. However, many core industrial parks have low utilization rates due to the aging facilities and irrational functional layout. Therefore, to enhance the utilization rate of industrial parks, the study proposes a design quality research method for urban renewal projects of Shenzhen industrial park that integrates building information modeling and virtual reality technology. The study integrates the data in building information modeling into an update project engineering schedule by introducing an improved genetic algorithm, and constructs an evaluation quality index for industrial park update project design to improve the overall design quality. The experimental results revealed that the genetic ant colony algorithm reduced the number of iterations by 36% and 25%, the iteration time by 25.6% and the accuracy by 97.4% compared to the genetic algorithm and the ant colony algorithm. The improved genetic ant colony algorithm optimized the building information modeling data by 16%, and the load indexes decreased by 0.096 and 0.184 relative to the other two algorithms. The project has a quality management score of 88.97, with an overall rating of excellent. As a result, the proposed model is able to generate the updated project schedule and enhance the efficiency of project management, which can help to promote the upgrading of the industrial parks in Shenzhen and the sustainable development of the city. The suggested strategy can create a timetable for renewal projects and increase project management effectiveness.