Flowsheet digitization
The goal of flowsheet digitization is to extract the flowsheet topologies from the flowsheet images and save them in a graph format.
The digitization of chemical process flowsheets involves multiple object detection algorithms and a pathway exploration algorithm. In the object detection step, machine learning models identify the position and type of unit operation on the flowsheet. In the pathway exploration step, the connectivity of the unit operations is explored. Moreover, text and tables are identified and digitized.
We develop a large dataset of labeled chemical flowsheets and P&IDs. We further develop state-of-the-art machine learning models that identify unit operations and their connectivity. The algorithms are trained on a variety of flowsheets from various sources.
DigiCo offers an AI-driven solution for digitizing engineering diagrams, such as Piping and Instrumentation Diagrams (P&IDs). The platform enables rapid digitization, reducing manual effort by up to 80%, and ensures high accuracy by minimizing errors and capturing essential details. It supports secure data handling with robust encryption protocols and integrates seamlessly with existing workflows through the DEXPI standard and other formats like CSV, JSON, and XML. Users can upload P&ID diagrams, review and edit the AI-processed data, and export it in the desired format, facilitating efficient management of multiple projects and preparing data for advanced AI applications in process engineering.