Algorithm Optimization and Benefit Analysis of BIM Technology in Refined Cost Management of Engineering Projects

The research on algorithm optimization and its economic benefit analysis is critical in project cost management, however it has an issue with erroneous performance positioning. The typical SVM is unable to address the the phase limit issue in project cost management, and the result is insufficient. As a result, a BIM technology-based research on algorithm optimization in project cost management and its economic benefit analysis is provided, and the research on algorithm optimization in project cost management and its economic benefit analysis is assessed. To start with, the Manhattan theory serves to detect key influencing factors, and indicators are categorized based on the research requirements for algorithm optimization and economic benefit analysis, thereby minimizing interfering elements involved.The Manhattan theory is then used to create a BIM technology research on algorithm optimization and its economic benefit analysis scheme, and the outcomes of the research on algorithm optimization and its economic benefit analysis are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the BIM technology outperforms the standard SVM in terms of research on algorithm optimization and its economic benefit analysis accuracy and time of influencing variables.