Extendable Design And Optimization Of Hospital Receiving And Sending Workstatio

With the construction of "smart hospital",the hospital logistics system has been developed rapidly,but the modeling mechanical characteristics of hospital logistics equipment such as hospital receiving and dispatching workstations are obvious,and the matching degree with medical scenes is low,while it cannot meet the diversified emotional needs of users.Therefore,from the perspective of product modeling imagery design,this paper proposes a topological design and optimization method for the modeling imagery of hospital delivery workstations,based on the line from one-dimensional perceptual needs to multi-dimensional perceptual needs of users,integrating topology and multi-objective optimization research methods,constructing a topological design model and multi-objective imagery optimization model for hospital delivery workstations,and gradually realizing the workstation modeling scheme from the output of single imagery needs to the output of multiple imagery needs.This paper presents the design practice of the workstation modeling scheme from the output of a single imagery requirement to the output of multiple imagery requirements.The main contents of this paper include:1.The cross-fertilization of perceptual engineering and topology was carried out,and the semantic difference method,cluster analysis method,and multidimensional scale analysis of product modeling were used to construct the hospital transceiver workstation graphical primitive model,the modeling element relationship primitive model,and the perceptual imagery primitive model in combination with the topological primitive theory.The multiple regression model of modeling element primitives and perceptual imagery primitives was constructed based on this,and the multiple regression mathematical model under a single perceptual imagery was obtained to establish a preliminary conceptual scheme.2.Using topology expansion analysis method,the preliminary concept scheme is analyzed by modeling element primitive dispersion,while using the basic topology transformation method,the dispersion primitive model is subjected to topology operation,and the concept scheme set is obtained as the sample to be evaluated for the optimization of hospital transceiver workstation modeling.3.Focusing on the goal of multi-objective imagery optimization of hospital transceiver workstation modeling,the parametric study of hospital transceiver workstation modeling samples is carried out,including the parametric processing of primary samples and samples to be tested,the construction of perceptual imagery prediction model,the determination of objective function and the determination of weight values of key points of modeling elements.Starting from the improved NSGA-Ⅱ algorithm,the paper establishes a multi-objective imagery optimization model for hospital mailbox workstation modeling by optimizing the morphology of the side profile of the hospital mailbox workstation.The usability of the method is verified by perceptual imagery evaluation,comparative model analysis and topologically superior evaluation.