Abstract: In one embodiment, a non-transitory computer readable medium may include computer-executable instructions that, when executed by a processor, may cause processor to receive a set of user data associated with a user that is attempting to access an electronic lock, receive a request to actuate a locking mechanism of the electronic lock configured to prevent the user from accessing a machine in an industrial automation system, actuate the locking mechanism in response to the request and the set of user data corresponding to an expected set of data, store a log of the request and the set of user data, and send the log to a cloud-based computing system.

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

Abstract: An industrial visualization system generates and delivers virtual reality (VR) and augmented reality (AR) presentations of industrial facilities to wearable appliances to facilitate remote or enhanced interaction with automation systems within the facility. VR presentations can comprise three-dimensional (3D) holographic views of a plant facility or a location within a plant facility. The system can selectively render a scaled down view that renders the facility as a 3D scale model, or as a first-person view that renders the facility as a full-scale rendition that simulates the user's presence on the plant floor. Camera icons rendered in the VR presentation can be selected to switch to a live video stream generated by 360-degree cameras within the plant. The system can also render workflow presentations that guide users through the process of correcting detected maintenance issues.

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be exposed to higher level systems for creation of analytic models that can be used to analyze data from the industrial device relative to desired business objectives.

Abstract: An industrial transportation system includes one or more movers and a robot system. The robot system is configured to load one or more items on the surface of respective movers and unload the one or more items from the surface of respective movers. Each of the one or more movers includes a first surface configured to provide reversible adhesion between the mover and an item loaded on the mover. The reversible adhesion of the surface is activated at loading and deactivated at unloading.

Abstract: A reversible adhesive apparatus includes a base and an adhesive layer. The base is configured with a series of concave and convex shapes at a top surface of the base according to some embodiments. The base is configured with a raised portion and a surrounding portion at a top surface of the base according to some other embodiments. The adhesive layer is disposed on top of the base. The adhesive layer configured to provide reversible adhesion on a top surface of the adhesive layer.

Abstract: A human-machine interface (HMI) development platform simplifies generation of an industrial visualization application by generating at least a portion of the visualization application based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based approach includes creation of HMI interface displays comprising animated graphics representing industrial assets represented in the drawings, and setting animation data sources for the graphics based on analysis of the drawings.

Abstract: An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.

Abstract: An industrial visualization system generates and delivers virtual reality (VR) and augmented reality (AR) presentations of industrial facilities to wearable appliances to facilitate remote or enhanced interaction with automation systems within the facility. VR presentations can comprise three-dimensional (3D) holographic views of a plant facility or a location within a plant facility. The system can selectively render a scaled down view that renders the facility as a 3D scale model, or as a first-person view that renders the facility as a full-scale rendition that simulates the user's presence on the plant floor. Camera icons rendered in the VR presentation can be selected to switch to a live video stream generated by 360-degree cameras within the plant. The system can also render workflow presentations that guide users through the process of correcting detected maintenance issues.

Abstract: In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

Abstract: A first computing device in an industrial automation system may include an image sensor that captures a visual representation of a portion of a facility including a first industrial automation equipment as image data and a communication component that communicatively couples the first computing device to a second computing device via a communication network, in which the first computing device receives relevant information related to the first industrial automation equipment from the second computing device.

Abstract: A lockout tagout auditing and guidance system provides a mobile device that can guide an individual to particular tags either to perform the operations required for lockout procedures or to perform an auditing activity. In both cases, images of the tags are obtained and imaged and tag locations compared to corresponding information in the database to assess the existence and clarity of the tags for auditing purposes.

Abstract: A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise. The multi-level industrial analytic system can also further refine modeled industrial data as the data moves upward through the system (e.g., from the device level to higher levels).

Abstract: An industrial data broker system receives contextualized industrial data from one or more industrial devices that support data modeling at the device level. The received industrial data is augmented with contextualization metadata that defines correlations between the data relevant to an analytical objective, and labels specifying analytic topics to which each data item is relevant. The broker system allows external systems, such as analytic systems, to subscribe to topics of interest, and streams a subset of contextualized device data relevant to the topic of interest to the external system for analysis.

Abstract: An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be provided to higher level systems together with their corresponding data tag values to high level analytic systems, which discovers insights into an industrial process or machine based on analysis of the data and its modeling data.

Abstract: A first computing device in an industrial automation system may include an image sensor that captures a visual representation of a portion of a facility including a first industrial automation equipment as image data and a communication component that communicatively couples the first computing device to a second computing device via a communication network, in which the first computing device receives relevant information related to the first industrial automation equipment from the second computing device.

Abstract: In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

Abstract: An industrial visualization system defines and enforces a virtual safety shield comprising a three-dimensional space surrounding a wearer of a client device. The dimensions of the virtual safety shield are defined by a specified safe distance surrounding the user that allows sufficient reaction time in response to notification that the wearer is at risk of interacting with a safety zone, hazardous machinery, or vehicles within the plant. If a boundary of a safety zone or hazardous equipment falls within the three-dimensional space defined by the virtual safety shield, the system sends a notification to the user's client device, or places the hazardous equipment in a safe operating mode.

Abstract: An industrial visualization system generates and delivers virtual reality (VR) and augmented reality (AR) presentations of industrial facilities to wearable appliances to facilitate remote or enhanced interaction with automation systems within the facility. VR presentations can comprise three-dimensional (3D) holographic views of a plant facility or a location within a plant facility. The system can selectively render a scaled down view that renders the facility as a 3D scale model, or as a first-person view that renders the facility as a full-scale rendition that simulates the user's presence on the plant floor. Camera icons rendered in the VR presentation can be selected to switch to a live video stream generated by 360-degree cameras within the plant. The system can also render workflow presentations that guide users through the process of correcting detected maintenance issues.

Abstract: An industrial visualization system generates and delivers virtual reality (VR) and augmented reality (AR) presentations of industrial facilities to wearable appliances to facilitate remote or enhanced interaction with automation systems within the facility. VR presentations can comprise three-dimensional (3D) holographic views of a plant facility or a location within a plant facility. The system can selectively render a scaled down view that renders the facility as a 3D scale model, or as a first-person view that renders the facility as a full-scale rendition that simulates the user's presence on the plant floor. Camera icons rendered in the VR presentation can be selected to switch to a live video stream generated by 360-degree cameras within the plant. The system can also render workflow presentations that guide users through the process of correcting detected maintenance issues.