Modeling method of plant protection unmanned aerial vehicle based on assembly semantics and target recognition

Abstract

The invention discloses a modeling method of a plant protection unmanned aerial vehicle based on assembly semantics and target recognition. The method comprises the following steps: determining product part information; carrying out model establishment and processing on the determined part information by using SolidWorks; extracting names of all parts from a modeled model, carrying out semantic interpretation on the names, and determining keywords; checking the determined keywords, and checking whether the keywords belong to a semantic category or not; if the keywords belong to the semantic category, carrying out the next step; in the semantic category, determining the type of the matched part, the number of constraints and the type; the system carrying out target recognition under similarity calculation, checking whether the model is successfully matched with an example with the highest similarity, and if yes, carrying out size constraint generation and calculation; constraining the correctness of the production and resolving based on the dimensions, resulting in success of the final modeling. According to the method, a three-dimensional solid model of a plant protection unmanned aerial vehicle can be quickly, efficiently and accurately constructed.

Description

technical field [0001] The invention relates to the field of mechanical three-dimensional virtual assembly, in particular to a modeling method for plant protection drones based on assembly semantics and target recognition. Background technique [0002] Assembly is an important part of product manufacturing. It is to assemble a series of related parts through certain assembly tools and processes according to clear technical requirements and precision standards to form the final product. The importance of this link is that it is the last step in the entire product manufacturing process, and this step occupies a lot of manpower and material resources in the product manufacturing process. [0003] In the early 1990s, W0MACK et al. made a statistical study on the labor hours of manufacturing industries in industrialized countries. The results showed that: the amount of labor in the assembly process accounts for 20%-30% of the total man-hours of product production, and about one-...

AI Technical Summary

Problems solved by technology

The outstanding problems of traditional assembly simulation methods are as follows: On the one hand, the assembly action definition process is cumbersome. For example, in the simulation definition of bolted connections, it is necessary to select bolts, nuts, and parts to be connected multiple times and define the corresponding assembly methods, assembly directions, and assembly paths. and other parameters; on the other hand, the assembly simulation process is difficult to reuse, such as bolted connection as a typical connection method, its assembly method is relatively fixed, but this fixed mode is not used in the actual simulation definition, resulting in many unnecessary duplication of effort

Images