A method for the automated digitalization of fluid circuit diagrams
提出一种自动从流体回路图中提取结构信息的方法，以气动真空喷射器为例验证，即使图像质量较差也能实现大部分信息的全自动数字化，有助于降低数字孪生行为模型的创建成本。
The benefits of Digital Twins are widely recognized across various use cases. However, to ensure efficient utilization of Digital Twins, it is crucial to minimize the effort required for their creation. This is particularly relevant for behavior models, which play a significant role in many Digital Twin use cases. While there are existing approaches for creating these models efficiently, they rely on having access to the asset's structure in a digitally usable format. This requirement also applies to the field of fluidics. The paper presents a method for the automated digitalization of information from fluid circuit diagrams, which contain information about the fluid structure of the asset. The method is implemented on the example of pneumatic vacuum ejectors, and using the test data set as an example, a large part of the information could be digitalized fully automatically. This was also demonstrated for an exemplary circuit diagram with poorer image quality.