State perception

real-time analysis

independent decision-making and precise execution are the characteristics of aeronautical intelligent manufacturing. This paper summarizes many factors that affect the positioning accuracy of assembly unit. Combined with the development of perceptual technology

the perceptible factors and acquisition methods of component assembly unit are analyzed in depth

and the key elements of perceptible component assembly unit are determined: assembly site temperature

load on positioner

positioner displacement

product position and orientation. Combined with the aircraft wing assembly unit

the perceptual information acquisition method is designed. Through the fuzzy optimization method

the model of sensor model optimization is constructed

and the sensor selection of component assembly unit is completed. Through the method of sensor measurement deviation averaging

a multi type and multi quantity sensor layout model is constructed

the number and location of sensors in the assembly unit of the component are determined

and the sensor layout design is completed. Based on the multi-sensor information fusion method

a multi-sensor information fusion model is designed to fuse the multi-source heterogeneous information

and through the construction of the state perception model

the visual expression of the assembly unit positioning state is realized.