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Study On Health Assessment And Preventive Maintenance Method Of In-service Large Amusement Ride

Posted on:2020-06-27Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:1481306497462914Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Large amusement rides are an important part of China's cultural tourism industry.They are characterized by a large number of participants,mainly adolescents,sensitive distribution areas and significant landmark effect.At the same time,China's large-scale amusement facilities industry is in a high-speed development stage,and has become the world's largest consumer market of amusement facilities.Disney,Universal Studios and other world theme parks have settled in China,which has become a sunrise industry.Since the beginning of this century,the level of science and technology has become more and more advanced,the complexity of large-scale amusement facilities has become higher and higher,the media and society pay more and more attention to it,and the speed of information dissemination has become faster and faster.The greater the possibility of mass casualties and injuries caused by accidents,the worse the social impact.In order to eliminate potential safety hazards,prevent unexpected accidents,and ensure the safety,reliability and economy of large amusement rides,strengthening the health management of large amusement rides is a practical way.Starting from the establishment of health management structure system and health evaluation model,this dissertation makes a thorough study on the formulation of preventive maintenance strategies for a typical large amusement ride.The main contents and achievements of this paper include:Firstly,from the perspective of analogy of human health management,the health management structure system of large-scale amusement facilities is established,the concept and connotation of health management of large amusement rides are put forward,and its system structure,main components and technical process are given.Based on the nature of the problem,the characterization of index parameters and mathematical expression,a theoretical model of health status assessment is established.Secondly,aiming at the preventive maintenance links in the health management structure system,the method of determining the important maintenance items is studied.Based on the analysis of the structural characteristics and functions of typical large-scale amusement facilities,a hesitant triangular fuzzy preference relationship is proposed,its properties are studied,and the weight calculation method and steps based on the relationship are given.Thirdly,aiming at the failure mode identification of important maintenance projects in large amusement facilities,a FMEA method suitable for hesitant ambiguous environment is proposed.Firstly,the maximum deviation method is used to calculate the attribute weight vector of failure modes,and then the relative closeness of each failure mode is obtained by the TOPSIS approach to the ideal solution,according to which the failure modes are ranked according to the risk priority.Fourthly,aiming at the uncertainties in failure probability assessment,a risk-based multi-attribute decision-making method is proposed to prevent the maintenance interval period from being determined in a hesitant fuzzy environment on the basis of synthesizing fuzzy reliability,multi-criteria decision-making and fuzzy number risk.Finally,taking a typical large amusement rides(ejection roller coaster)as an example,the model and method are comprehensively applied and analyzed.This dissertation enriches the methods of health assessment and preventive maintenance in theory,promotes the practicability of health management technology for large amusement rides in engineering,supports the development of key national R&D projects,and provides a new method for risk prevention,control and management of special mechanical and electrical equipment.
Keywords/Search Tags:Large amusement rides, Health assessment, Maintenance decision making, Hesitant fuzzy, Failure mode
PDF Full Text Request
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