Research On Assembly Sequence Planning And Assembly Knowledge Pushing For Large Hydraulic Turbines

Large turbines have been widely used in hydroelectric power generation,flood control,shipping and other fields.This kind of equipment has the characteristics of complex structure,large number of parts,long assembly cycle and wide range of professional fields.Especially in its assembly process,there are some problems,such as unclear description of matching relationship between parts,insufficient consideration of characteristic attributes of process constraints,difficulty in reflecting actual optimal assembly logic in simulation process,difficulty in searching and matching assembly knowledge,etc.It is difficult to meet the requirements of efficient assembly of large-scale hydraulic turbines by traditional methods such as searching process manuals or referring to expert experience guidance.However,the current research on large-scale hydraulic turbines mainly focuses on the performance optimization,stability analysis,structural design and so on.There are few studies on assembly sequence planning and assembly knowledge matching and pushing,which can not solve the problem of low assembly efficiency of large hydraulic turbines.In this paper,large-scale hydraulic turbines are taken as the research object.Aiming at the problems of matching relation description,assembly sequence planning and assembly knowledge search,matching and push in the assembly process,the knowledge ontology model of feature assembly set and assembly tools was constructed.At the same time,the assembly sequence planning,assembly process knowledge and assembly tool matching push method are put forward.Then the assembly rules of components are formulated,the corresponding assembly operation mechanism is given,and the assembly service support platform for large-scale hydraulic turbines is built.Firstly,the structural characteristics of large turbine are analyzed and summarized,and the feature assembly set model is constructed.On this basis,modular topological sequencing of assembly sequence and matching reasoning method of large turbine based on fuzzy evaluation are proposed,and a verification case is given.Secondly,the assembly ontology model based on feature assembly set is constructed,and the assembly rules of components are formulated.Meanwhile,the representation method of assembly rules based on ontology and the pushing method of assembly knowledge based on feature semantics filtering are studied.Then,the knowledge ontology model of assembly tool is constructed,and the matching and pushing mechanism of assembly tool based on knowledge component is given.At the same time,the intelligent selection method of assembly tool type and the intelligent driving matching method based on assembly tool size are emphatically expounded.Finally,the large-scale water wheel is used as the research object.As an example,the assembly sequence planning and assembly knowledge push service platform for large-scale hydraulic turbines is built.The assembly sequence planning service,assembly process knowledge and assembly tool push service and assembly service based on augmented reality are realized respectively.The research results of this paper provide new ideas and methods for the efficient assembly of large-scale hydraulic turbines.It has very important theoretical guiding significance and application value for promoting the intellectualization of assembly process of large-scale hydraulic turbines and improving their assembly efficiency and quality.