The invention relates to a pipeline
layout optimization method and device based on
big data, equipment and a medium. According to the method, multi-source heterogeneous data is collected, a standardized
data set is constructed, and a three-dimensional digital environment model is established based on the
data set; defining a
pipe network
source sink in the model and initializing a
myxobacteria network to form an initial topological structure, and simulating biological behavior characteristics of
myxobacteria to carry out iterative optimization on the initial structure;
engineering processing is carried out on the optimized topological structure to meet actual
engineering constraints, and finally an optimal
layout scheme is selected and output through multi-target evaluation. According to the method, a real environment model is constructed by using
big data to serve as a growth culture medium of a
myxobacteria algorithm, a
pipe network topology is generated under complex constraints through a myxobacteria self-organized bionic optimization mechanism, and then a
layout scheme capable of being directly implemented is formed through
engineering transformation, so that full-
process optimization from environment
perception and self-adaptive growth to engineering landing is realized, and the method is suitable for large-scale popularization and application. And the global optimality, the
environmental adaptation toughness and the engineering availability of the
pipe network
system are obviously enhanced.