Abstract: A vial adaptor for connecting an injection device to a vial is provided. The adaptor includes a proximal connection portion connectable to the injection device; a spike extending distally from the proximal connection portion; a flange extending distally from the proximal connection portion and radially outward of the spike, a rim extending at a distance distally away from the flange and connected to the flange through a skirt; and at least one retention barb extending proximally from the rim and configured to be engageable with the vial that is to be connected to the adaptor. The adaptor further includes at least one audible barb thinner and longer than the retention barb.

Abstract: A connector assembly including an adaptor and a cap connected to each other is provided. The adaptor includes: a proximal connection portion configured to be connectable to an injection device; and a spike extending distally from the proximal connection portion. The cap includes a cap body defining an inner cavity, the inner cavity being open at a proximal end of the cap body and is closed at a distal end of the cap body. The cap is connected to the adaptor in such a way that the spike is accommodated within the inner cavity. The cap is connected to the adaptor by press-fit between the spike and the inner cavity.

Abstract: An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

Abstract: An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

Abstract: An intelligent material completeness detection and configuration method based on digital twin and augmented reality (AR) includes: constructing a digital twin model base and knowledge base of an incomplete material; importing the digital twin model base and knowledge base of the incomplete material respectively into a model database and a knowledge database in a digital twin system database; sending materials to be detected into a vision-based material completeness detection platform, sorting out an incomplete material, acquiring corresponding data, and importing the data into an incomplete material information database; performing, based on an AR device, perception and reconstruction of incomplete material configuration; matching a configuration plan of the incomplete material in a digital twin relational database, and performing a virtual-real fusion in the AR device; and allowing, a worker to rapidly and accurately find a location and problem type of the incomplete material and configuration the incomplete