The result consists in a dual-arm platform for the autonomous testing of the electrical connections in a cabled switchgear. A product database for the execution of the task is automatically generated directly from the product design platform. This database describes the list of components in the switchgear and all the connections to be tested. Due to the potential misplacement of the component caused by manual assembly and cabling, a neural network trained on synthetic data is adopted for the precise detection in order to correct their position with respect to the expected one provided by the knowledge database. The connections are tested with a specific tool designed for the task provided with a 2D USB camera integrated in the end effector. The proposed solution demonstrates the feasibility of this automation process at industrial scale, enabling both to have a fully monitored and repeatable quality control process and to save a significant amount of human work for this tedious and repetitive task.
Addressing target audiences and expressing needs
- Incubators / Accelerators
We need to get in contact with/for the specific need:
- actors interested in financing the final stage of development of the proposed solution
- companies developing the CAD software used to design the switchgears to integrate more the solution with the design software
- manufacturer of components to define the type and the format of data required to enable the handling of components by the developed platform
- experts in commercial strategies to understand and exploit the market potential
- Other Actors who can help us fulfil our market potential
R&D, Technology and Innovation aspects
A TRL5 demonstrator has been developed.
The next steps consists in:
- obtain new funds for the next development steps
- improving the efficency of the process
- validate the system over a relevant number of products
- validate the system in the industrial scenario
- develop a commercial strategy
- participate to fairs to disseminate the result
- reach potential customers
