An electronic device configured to communicatively couple to a programmable logic controller (PLC). The electronic device includes a controller and a graphics processing unit (GPU). The controller is configured to receive signals from the PLC. The electronic device is configured to couple the controller to the PLC via a communications line. The received signals are extracted from the PLC by the controller. The GPU is configured to sample the received signals and to arrange the sampled signals as a graphical signal representation. The GPU is configured to process the graphical signal representation and prepare the processed graphical signal representation for transmission to a cloud-computing environment. The GPU is also configured to process the graphical signal representation to detect errors in the graphical signal representation which are indicative of errors in the process.

A system and method of connecting remotely located machine tools over the Internet. An agent-adapter architecture is used to transform the machine tools into IoT devices in a connected group that communicates with each other for exchanging their status information and executing operations remotely over the Internet.

A remote server, a remote control system and a remote control method are provided. The remote server includes a connector and a processor. The connector is connected to a KVM switch. The KVM switch is connected to at least two machines. The connector receives a plurality of screen images of the machines through the KVM switch, wherein the screen images are respectively captured at the machines. The processor generates a plurality of control instructions according to the screen images, respectively. The control instructions are transmitted from the connector to the machines through the KVM switch, respectively.

A tangible, non-transitory computer readable medium stores machine readable instructions optimized for a microprocessor on a mobile computing device. When executed by the microprocessor, the instructions cause the microprocessor to display a graphical user interface (GUI). The instructions also cause the microprocessor to receive, via the GUI, a selection of one or more items to view. Each of the one or more items is related to a process control system. The instructions cause the microprocessor to transmit to a mobile server, via either the Internet or a mobile telephony data connection, the selection of the one or more items. Thereafter, the instructions cause the microprocessor to receive from the mobile server, via either the Internet or the mobile telephony data connection, a plurality of real-time values corresponding to the selected one or more items, and to display the plurality of real-time values on the GUI.

Predicting maintenance needs and analyzing preventative maintenance requirements in electrically powered turbomachinery with multi-parameter sensors and power quality sensors, both of the Fog-type, providing time domain output data and transforming data samples into the frequency domain to detect a root cause of failure of the machinery.

A manifest generation system generates a system model for a cloud computing architecture. The system generates the system model in the form of system, data, and metrics manifests that act as an information concentrator for configuring various aspects of data ingestion and data management. The manifest generation system leverages both information extracted from industrial devices, applications, and programs that make up physical industrial automation systems, as well as user selections identifying which data tags are to be collected, specifying data collection preferences, etc. In this way, manifest data for configuring cloud-level data monitoring and collection is mapped to the automation and control system configurations via information extracted from the system-level topology. This approach can automate and simplify aspects of the cloud-based data collection configuration process.

A system of monitoring and controlling an operation, comprising: an input means, the input means is adapted for user to input user-defined parameters, a middleware application in connection with the input means via a network, the middleware application is in communication with a directory database and also a relational database management system via communication means, a data management system being installed as a slave program in the middleware application and as a slave program in one more external server or external device, the middleware application is in communication with the external servers or device via communication means, whereby the master-slave relation allows exchange of data between the middleware application and the server architecture.

Updating performance of a display screen in a terminal device that displays a screen for remotely monitoring an object to be controlled by a control device is appropriately maintained. An information device for factory automation connected to the control device that controls an object communicates with a terminal device having a display capable of displaying a screen for remotely monitoring the control device. The screen includes one or more components. The screen data for displaying the screen includes attributes of the respective components relating to the display, and a logic executed by the programmable indicator to determine the attribute values. When the terminal device displays a screen, the programmable indicator transmits the attributes and attribute values of the respective components in the screen data to the terminal device.

The present disclosure includes a method for receiving, by the processing system, reporting packets from one or more respective sensors of the plurality of sensors. Each reporting packet is sent from a respective sensor and indicates sensor data captured by the respective sensor; performing, by the processing system, one or more edge operations on one or more instances of sensor data received in the reporting packets. Generating one or more sensor kit packets based on the instances of sensor data. Each sensor kit packet includes at least one instance of sensor data. Outputting the sensor kit packets to the data handling platform. Receiving the sensor kit packets from the edge device. Generating the digital twin of said industrial setting including a digital replica of at least one industrial component of said industrial setting and being at least partially based on the sensor kit packets.

Adsorbers have many purposes in chemical, gas-processing, and petrochemical plants. Adsorbers may be used to remove components from gas streams. Adsorbers may be subjected to various issues, including but not limited to moisture breakthrough, spent catalyst, too high or too low pressure drop, over or under heating, over or under cooling, too high or too low flow rates, which can affect their performance or result in a shutdown of the adsorbers. Monitoring the adsorbers and the processes using adsorbers may be performed to determine if the adsorbent bed is reaching saturation, other problems are occurring, or if equipment failures are imminent. Monitoring also helps to predict behavior or problems in different adsorbers used in the same plant or in other plants and/or processes.