A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning

Agricultural machinery intelligence is the inevitable direction of agricultural design, and systems in these designs are important tools. In this paper, to address problem low processing power traditional design analyzing data, such as fit, tolerance, interchangeability, assembly process, well overcome disadvantages high cost intelligent modules, lack data compatibility, inconsistency between a novel system integrating image knowledge reasoning constructed. An image-processing algorithm trigger used detect feature parameters key parts build virtual prototype. At same time, special base constructed analyze test The results practical application software evaluation third-party institutions show that improves efficiency by approximately 20%, reduces operation error rate personnel 40% consumption computer resources 30%, greatly purchase provide reference for guide actual production.