Abstract: Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises: a storage component configured to maintain a set of model control schemes for controlling an industrial process, a control component configured to control the industrial process with a control program running a model control scheme, wherein the model control scheme is configured to optimize a first parameter of the industrial process, and a model management component configured to change the model control scheme to optimize a second parameter of the industrial process that is distinct from the first parameter.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to perform an analysis of operational data from an industrial automation environment. The analysis engine is further configured to perform an analysis of control logic and identify, based on the analysis of the operational data and the analysis of the control logic, a variable that is in the control logic but is not used in the operational data. The system further comprises a notification component configured to surface a notification that the variable is in the control logic but is not used in the operational data.

Abstract: Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to train machine learning systems to perform autonomous control in an industrial automation environment. In some examples, a data aggregation component receives operational data from Original Equipment Manufacturer (OEM) devices, identifies a device type for the operational data, and transfers the operational data for the device type to a machine learning interface component. The operational data characterizes the operations of the OEM devices. The interface component receives the operational data for the device type and generates feature vectors based on the operational data configured for ingestion by a machine learning model. The interface component transfers the feature vectors to a machine learning model.

Abstract: A soluble donor-acceptor electrochromic polymer (DA-ECP) is prepared that absorbs light throughout at least the majority of the visible range and is essentially black to the human eye when in the neutral state, but is highly transmissive when electrochemically doped. The conjugated polymer has acceptor units separated by sequences of a plurality of donor units. The sequences can be monodispersed or polydispersed. The DA-ECP is prepared by the polycondensation of a plurality of at least one donor-acceptor oligomer (DA-oligomer) that has at least one internal acceptor repeating unit and at least one donor repeating unit on all termini of the oligomer, and optionally, a plurality of at least one donor monomer and/or donor oligomer.

Abstract: A method and mold apparatus are provided for forming and trimming a vehicle inner door panel. The panel is a shaped laminate including a vinyl cover layer and a structural foam backing layer having a glass fiber reinforcing substrate. Upper and lower mold members have peripheral seals which define a mold cavity when the mold is closed. A plurality of movable trim blades are carried by the lower mold member adjacent the seal. The trim blades move among retracted, intermediate and extended positions. Hydraulic rams open and close the mold and move the trim blades. Sheets of vinyl and substrate are placed across the lower mold member and the mold is closed to seal the substrate and vinyl layer about their periphery. As the mold closes, abutment surfaces on both mold members advance the trim blades to an intermediate position to pinch the cover layer against the substrate inwardly of the peripheral seals. A two-part polyurethane liquid foam system is injected into the cavity.

Abstract: A retainer for receiving a fastener and adapted for loading into a mold for embedment in a trim article molded of molding material. The retainer has a housing having an upper portion for accepting the fastener and a lower portion for embedment in the molded trim article. A flexible lip encompasses the housing for sealingly engaging with the mold thereby preventing the molding material from making contact with the upper portion of the housing and allowing the molding material to make contact with the lower portion of the housing.