A system and method for collecting real time manufacturing data from a factory having multiple machines therein using internet-of-things (IoT) connectivity, comprising: at least one gateway comprising at least one server, the at least one gateway receiving data from the multiple machines; at least one machine communications module (MCM) that applies to the received data at least factory, enterprise, and analytics applications, and which outputs command and control information from the applications to the at least one gateway to directly control operations of the multiple machines; wherein the gateway provides security isolation on the machine side of the gateway, and encryption, authentication, and authorization security on the MCM side of the gateway; and wherein the applications process and normalize data from at least a plurality of types and generations of the multiple machines.

A system, device, and method for managing connections in an industrial installation are described. The system includes one or more field devices, one or more automation devices, and a self-configurable device. The self-configurable device is adapted to dynamically configure, based on type of the one or more field devices and the one or more automation devices, such that the self-configurable device manages a connection between the one or more field devices and the one or more automation devices. The self-configurable device is adapted to calibrate one or more field devices and manage automation functions in the industrial installation.

A vehicle wash component at a vehicle wash location includes a processor for controlling an operational status of the vehicle wash component, an actuator communicatively coupled to the processor and configured to operate the vehicle wash component, and a power source electrically coupled to the processor and the actuator. The processor receives a signal from a car wash controller located at the vehicle wash location, the signal for commanding control of the vehicle wash component, and upon receipt of the signal, the processor interprets the signal, generates a separate signal, and transmits the generated signal to the actuator. The actuator receives the signal from the processor for controlling the operational status of the vehicle wash component based thereon. The power source provides power to the actuator for operating the vehicle wash component based on the operational status of the vehicle wash component.

A scalable industrial data ingestion and analysis architecture integrates and collects data from multiple diverse sources at one or more industrial facilities. Data sources can include plant-level industrial devices and higher-level business systems. The data can be integrated and collected from multiple sources at an on-premise edge or gateway device, which sends the data to event queues on the cloud platform. The data queues orchestrate and store the data on cloud storage, and an analytics layer performs business analytics or other types of analysis on the stored data to produce various outcomes. Similar analytic platforms can also be implemented at the device level, and analytic functions can be scaled between the device level and higher levels in accordance with the scope of a given analytic function.

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.

An edge gateway system securely delivers and exposes data generated by and/or related to a process plant for consumption by external systems, and includes a field-facing component that sends, to an edge-facing component of the system, a collection of data types defined based on configurations of the process plant and represented using a syntax that is native to the one or more external systems. The field-facing component streams process plant-related content data indicated by one or more interest lists to the edge-facing component, where the streamed data is expressed using the collection of data types. Each interest list may include multiple types of data (e.g., control, I/O, diagnostic, device, historical, etc.) that collectively represent a particular named entity of the plant. Accordingly, the streamed data is securely delivered and exposed, via the edge-facing component, to the external systems.

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.

A method and system for networking a first time-sensitive field bus with a second time-sensitive field bus, the first time-sensitive field bus comprising a first subscriber device and having a first dedicated time domain and the second time-sensitive field bus comprising a second subscriber device and having a second dedicated time domain, the first and the second field buses being connected to each other with the aid of a gateway for data transmission.

A method for networking a first time-sensitive field bus with a second time-sensitive field bus, the first time-sensitive field bus comprising a first subscriber device and having a first dedicated time domain, and the second time-sensitive field bus comprising a second subscriber device and having a second dedicated time domain. The first time domain and the second time domain being frequency-synchronized. The first and second field buses being connected to each other via a gateway. The method includes: storing a first subscriber device identifier in the memory of the gateway; storing a second subscriber device identifier in the memory of the gateway; determining a first cycle duration of the first field bus and a second cycle duration of the second field bus by the gateway at a reference time; and determining a time offset between the first and second time domain by the gateway at the reference time.

A method includes receiving one or more data files that have one or more user-selected input parameters associated with one or more electrical devices in an industrial system, one or more output parameters associated with the electrical devices, one or more input/output parameter tags, a frequency or a condition associated with data transmission for each electrical device, or a combination thereof. The electrical devices may communicate via a first communication network based on the International Electrotechnical Commission 61850 standard, and the controller may communicate via a different communication network. The method also includes automatically programming the controller to control one or more operations of each electrical device based on the data files and transmitting the data files to a gateway device communicatively coupled to the controller along a backplane of a chassis system. The gateway device is automatically configured based on the one or more data files.