Needs and Challenge
WHY
TODAY’S INDUSTRY
CHALLENGES
Much engineering data is obsolete and stored in silos, these data are non-digitized and unstructured. This leads to safety risks, knowledge loss, prolonged engineering for capital projects, and a laborious digital transformation process
SAFETY & OPERATION
SAFETY & OPERATION
SAFETY & OPERATION
Needs for keeping Engineering Information current and consistent
Outdated and conflicting engineering information brings the risk of safe and efficient engineering and operation. Non-digitalized and unstructured historical engineering information make it difficult for identifying these information conflicts and updating requires tremendous manual work, costly and resource consuming.
Needs for keeping Engineering Information current and consistent
Outdated and conflicting engineering information brings the risk of safe and efficient engineering and operation. Non-digitalized and unstructured historical engineering information make it difficult for identifying these information conflicts and updating requires tremendous manual work, costly and resource consuming.
The need for digital transformation towards Industry 4.0
Outdated and conflicting engineering information brings the risk of safe and efficient engineering and operation. Non-digitalized and unstructured historical engineering information make it difficult for identifying these information conflicts and updating requires tremendous manual work, costly and resource consuming.
HOW
ARTIFICIAL
INTELLIGENCE
New Technology
New Speed
Endless Possibility
Engineering information is essentially presented in the form of drawings, documents and 3D models (either design-built or via point clouds). The application of AI technology in machine learning, deep learning, image/visual recognition, and natural language processing enables computers to “READ” and “UNDERSTAND” engineering documents and drawings the way a human would, effectively replacing manual processing, improving engineering productivity and further automating engineering deliverables.
By applying AI technology, computers can
- Digitalize critical engineering drawings and documents;
- Provide content searching capabilities;
- Consolidate data and knowledge;
- Automate engineering deliverables