restraint specification optimizing apparatus based on Particle Swarm Optimization algorithm using impact analysis and method therefor

摘要

In the present invention, in order to search for the optimum detailed specifications of the restraint device, passengers by sequentially inputting numerical values according to the specifications of each design variable included in the injury result data to a cluster intelligence optimization algorithm implemented with a plurality of computational layers formed for each detailed configuration. By generating a predicted value of passenger injury according to the degree of injury of the passenger, and calculating a comprehensive result index using the predicted value of the passenger's injury, an analysis of the impact between the restraint device specification and passenger injury that can provide information on the optimal specification of the restraint device is used. This is about a device and method for optimizing restraint device specifications based on cluster intelligence algorithm, and cluster intelligence using the injury result according to the standard specifications of the previously performed evaluation test even without repeating the evaluation test for each specification for the detailed configuration of the restraint device. Through a plurality of computational layers implemented in the optimization algorithm, it is possible to generate a predicted value of passenger injury according to the degree of injury of the passenger for each specification of the detailed configuration of the transport device, and through this, information on the optimal specification of the restraint device without repetition of excessive evaluation tests. There is an effect that can produce.