Oil Well Cementing LADS Digital Equipment And Virtual Assembly Technology Research

Based on the “digestion,absorption and innovation” of the cementing additive liquid automatic distribution system of Harry Bottome Oil Companies in the United States,to apply the virtual augmented reality for equipment locations,it needs the key technology of virtual assembly.The collision interference inspection method,the assembly process planning and optimization,and the removable evaluation of virtual assembly are the research focus of virtual assembly key techniques at home and abroad for the past few years.In generally,people likes using different way to make virtual assembly interference test on the flexible and rigid objects respectively,the rigid body collision detection mostly adopts the method of hierarchical bounding box,and for the collision detection of deformation mainly looks for a way to improve the quality of detection speed and detection.Due to the question of sampling technique,the interference of the inspection has the difficult problems of low precision and poor accuracy.As particle swarm optimization(PSO)technology evaluates from the bionics principle of birds foraging in nature,this algorithm has faster convergence;and as if combining with neural network and optimization techniques,it will have wide practicability.So introducing PSO algorithm into the detection of virtual assembly collision,it can solve the problems of low precision and poor accuracy.Firstly,this article establishes the random detection method of ecological niche PSO by introducing PSO algorithm of biological foraging into the collision interference test of virtual assembly in line with the characteristics of plasmodium in the virtual environment,puts forward the procedure and process of ecological niche PSO of virtual assembly,makes the research of related technology and the formulation of software to further studies on the optimization technique in the dynamic multi-target environment.By sampling a number of physical parts,it verified this algorithm has the technical feasibility,so this algorithm can realize the collision detection between deformations quickly and efficiently.Secondly,this paper establishes an evaluation model based on fuzzy neural network.For improving the fast timeline of virtual assembly interference test,this paper introduces this technology into the test of virtual assembly collision interference,and establishes fuzzy neural network learning algorithm to evaluate the assembling ability of equipment parts based on the characters of fuzzy neural network technology has a system of learn and adaptive uncertain,which can able to deal with the quantitative and qualitative problems.And through establishing an evaluation model based fuzzy neural network divides the product design into parts design,product structure design and product assembly sequence design.During the assembling ability evaluation of single part,we divide the factors of affecting the assembling ability into the symmetry of parts assembly,parts size,the number of shape feature of parts easy to locate,the number of shape feature of parts easy to identify,and the number of shape feature of parts easy to grab.During the way ofmaking the assembling ability evaluation of product structure,we take a full consideration on the factors of the number of redundant assembly parts,the number of standard parts,the tightness of structure,the number of assembly relation and the choice of assembly benchmark.During the assembling ability evaluation of assembly sequence,we divide the factors of affecting the assembling ability evaluation of assembly sequence into the total operands,non-assembly operands,the replacement number of the assembly tool,the number of parallel assembly task,the reorientation number of the basic parts and the assembly method,and then we take these factors quantization as the importing data of evaluation model.This paper makes argumentation and analysis on the parts design,product structure and product design for assembly sequence respectively.Thirdly,through the development of LADS digital equipment of liquid additives distribution system used in the offshore oil well completion in cementing operations to realize the visualization of virtual assembly,research the collision of virtual interactive environment and its detection method;and explore the implementation of virtual assembly and the acquisition of assembly information.Furthermore,though the collisions test in the process of interaction of above parts to verify the reliability of interference inspection method.Finally,based on the research of virtual assembly 3D modeling,this paper makes the research on the numerical simulation optimization of the single-screw pump,which is the critical component of liquid additives distribution system of LADS equipment used in the offshore oil well cementing;establishes the niche particle swarm algorithm and programs software for the collision detection in the virtual assembly;and makes an evaluation for assembling ability based on the mathematical model of fuzzy neural network..And at last verifies the technological feasibility of virtual assembly visualization though LADS digital equipment.