Embodiments of this present disclosure may include an industrial control system that uses a daisy chain communication network to couple point-to-point sensors (P2P sensors) for communication of data between respective P2P sensors and a controller. Each P2P sensor may couple to the daisy chain communication network via accessing circuitry. The accessing circuitry may include switching circuitry and flip-flop circuitry to control when each P2P sensors may communicate with the controller via the daisy chain communication network.

A system includes an industrial automation component configured to receive a first voltage from a voltage source to enable the industrial automation component to perform one or more operations, a mechanical device configured to generate a second voltage, and a display configured to present image data. The display is configured to maintain presentation of the image data in absence of the first voltage received from the voltage source or the second voltage received from the mechanical device. The system also includes processing circuitry configured to use the second voltage generated by the mechanical device to adjust the image data presented by the display when the first voltage is unavailable.

A semantic analysis method includes gathering patterned side-information in an industrial process and identifying frequency patterns of semantic channels; identifying a set of relevant packets of the semantic channels and deducing locations of the packets where semantics are located; and performing modeling on behavior semantics in the industrial process based on field semantics of the packets and extracting association rules among the semantic channels. The semantic analysis method for the industrial control protocol based on industrial side-information provided by the present invention takes a problem of a difference on response delays of the side-information and information data of protocol packets in an industrial control system into consideration, and analyzes the positions of the semantics of the industrial control protocol, the association rules among the semantics and the like effectively to solve problems in the prior art as the patterned industrial side-information cooperates with the corresponding protocol packets.

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

A method for providing a controlling frontend for an operating device configured for operating a field device includes providing an operational frame, wherein the operational frame serves as a generic user interface and is based on a companion specification; reading a field device specification from a database, wherein the field device specification comprises a structured set of field device attributes, which are related to the operating elements; and generating, based on the field device specification and the operational frame, a structured set of display elements for the controlling frontend, wherein at least some of the display elements of the controlling frontend are connected to the operating elements of the field device.

A data collection device includes a data collection unit that collects data of a data item related to production work from a production line that produces a target through a plurality of processes, and an acquisition unit that acquires an identifier of the target produced in the production line. For each process, the data collection device links the identifier of the target with data collected from the process during a period in which a production operation is performed on the target in the process, and generates visualization data visualizing the data of each process linked with the identifier.

A distributed, parallel processing, zero code stream processing orchestration platform for automating industrial robotic processes or machines is disclosed. In some embodiments, an orchestration engine functions as a machine interface and enables easy integration with business process management process engines or with an Internet-of-Things event stream platform.

An automation system (1) for controlling a production process in a production plant (2) in the metal production industry, the non-ferrous industry or the steel industry for producing semi-finished products or finished products comprising a plurality of plant parts (3) for carrying out separate production steps comprises, for each plant part (3), a separate control unit (4) for controlling actuators (5) and/or sensors (6) of the respective plant part (3) for the purpose of automating the production step in the respective plant part (3). The separate control units (4) of the automation system (1) comprise wireless communication means (7) for wirelessly communicating with one another.

A human machine interface for an industrial automation control system includes at least one touchless input device that is adapted to be in a first state in which said human machine interface provides a first input to said industrial automation control system or a second state in which said human machine interface provides a second input to said industrial automation control system. The at least one touchless input device includes first and second touchless input sensors each configured to detect hand gestures of an operator's hand to provide input to said human machine interface based upon said gestures. The first and second touchless input sensors can be identical with respect to each other or different. In one example, one or both of the sensors are both time-of-flight sensors and one of the sensors can be an electric field proximity sensor. A method of providing a human machine interface with at least one touchless input device is provided. In one embodiment, the touchless input device provides an emergency stop (Estop) switch device.

A system and method for controlling automation includes a machine performing at least one operation and including a sensor for generating data in response to a performance of the operation by the machine. Data generated by the sensor is stored for retrieval by a server in data memory storage. The server includes at least one display template for displaying the data, and the server generates a data display by populating the at least one display template with the data. The data template can be populated with data in real time, to display the data display immediate to the generation of the data. The display template includes a data feature which is differentiated for displaying the data feature in a mode determined by the data populating the data display. The data display can be displayed in real time by a user device in communication with the server.