Optimization of Safety Investment in Prefabricated Building Construction Based on SSA-SVR

For reducing the losses caused by safety accidents in the construction of prefabricated building (PB), the sparrow search algorithm (SSA) and support vector regression (SVR) were used to determine the quantitative relationship function between safety control investment and economic loss of accidents in the construction process. Accordingly, a safety investment optimization model was constructed, which was based on the minimization of economic losses from accidents as the objective and the safety input resources as the constraint. A case study proved that the SSA-SVR-based construction safety investment optimization method can reduce the loss of safety accidents in an effective way during the construction of PB and reduce the capital invested by construction companies.