WMPS network layout optimizing method based on simulated annealing particle swarm optimization

Abstract

The invention provides a wMPS network layout optimizing method based on simulated annealing particle swarm optimization. A measuring station layout optimizing aim is one of important aims in use of a wMPS. The method aims at achieving the aim that due to the optimized measuring station layout, a to-be-measured region can be comprehensively covered with certain cost, and the requirement for measuring accuracy can be met. According to the wMPS network layout optimizing method, a reasonable positioning error model is built, a multi-objective optimization function is defined, and the network layout of the wMPS is optimized with the simulated annealing particle swarm optimization. The measuring-station network optimized layout aim of the wMPS in engineering application is effectively achieved through the rapid convergence capacity of the particle swarm optimization and the global convergence capacity of the stimulated annealing algorithm. Along with increasing of the number of measuring stations, the method has good expansibility and can provide a novel method with high adaptability for the multi-station networking measuring layout optimizing aim based on an angle intersection principle, and important theoretical value and practical significance are achieved.

Description

technical field [0001] The invention belongs to the technical field of large-scale three-dimensional coordinate measurement on industrial sites, and in particular relates to an intelligent optimization deployment method of a measurement station of a multi-station network measurement system, and in particular to a wMPS network layout optimization method based on a simulated annealing particle swarm algorithm. Background technique [0002] Workspace Measuring and Positioning System (wMPS) is a new type of networked multi-station measurement system. The measurement range of this system can be expanded theoretically infinitely, and it can realize real-time parallel measurement of multiple points in the measured space. It has a balanced measurement range, The huge potential of the contradiction between measurement accuracy and measurement efficiency is a research hotspot and an important development direction in the field of large-scale measurement. [0003] Since the spatial mea...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, aiming at the lack of a more adaptable survey station layout optimization method in engineering practice, and the lack of comprehensive consideration of various parameters affecting the system layout, etc., a simulation-based Annealing Particle Swarm Optimization to Solve the Station Deployment Problem of Spatial Survey and Positioning System

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