Systems, methods, and devices are disclosed herein for the integrated design and deployment of process control logic and power control logic in the context of industrial automation environments. In an implementation a computer displays, in an integrated design environment, representations of process control logic for controlling manufacturing devices an industrial automation process and of power control logic for controlling electrical devices in the industrial automation process. The computer further deploys the process control logic and the power control logic to a programmable logic controller (PLC) that controls the industrial automation process.

To efficiently collect and transfer monitoring target data in a PLC. The PLC includes a first execution engine, a holding section, and a second execution engine. Further, the PLC collects data stored in a collection target holding section according to predetermined collection setting, accumulates collected time-series data in a first buffer, and transfers the time-series data stored in the first buffer to the second execution engine via a bus. The second execution performs data processing of the transferred time series data, generates display data to be displayed on a dashboard, and provides the display data to an external computer.

A hybrid rendering HMI terminal device (32) is provided with a web browser (321) and an HMI Web Runtime (322). The web browser (321) displays an HMI screen on which a first part and a second part that represent the state of a monitoring target device (7) are arranged. When signal data from the monitoring target device (7) is analog numerical data, a WebGL rendering processing unit (322i) renders the first part associated with the signal data by WebGL rendering. When signal data from the monitoring target device (7) is data other than analog numerical data, an SVG rendering processing unit (322h) renders the second part associated with the signal data by SVG rendering.

It is possible to make data for manufacturing devices available in a standard format using an adapter that would automatically interrogate the device and use the information gained from the machine to generate a data translation file. The data translation file could subsequently be used by an agent to interpret a data stream provided by the adapter for the manufacturing device.

A support device accepts selection of a target program to be copied from a control program, and sets a copy program in the control program, the copy program being obtained by copying the target program. The support device generates a list of variable names extracted from the target program. The support device rewrites a variable name in the copy program based on the edited list obtained by editing the list. As a result, even when it is desired to arbitrarily change the variable name, time and effort of a user to carry out input work is reduced.

The present invention provides a method for operating dual controller which monitors the state of a dual controller to determine whether the dual controller is faulty and enables operation thereof with a controller in a normal state. An operation method of a dual controller according to the present invention dq-converts control command output values of first and second controllers to calculate rates of change in dq conversion values and dq-converts feedback input values, fed back to the first and second controllers, to calculate average rates of change in dq conversion values. When the average rates of change in the dq conversion values for the control command output values and the average rates of change in the dq conversion values for the feedback input values for the respective first and second controllers are identical, the corresponding controller is determined to be in a normal state, and to be in a faulty state otherwise. According to the results of the determination, the controller in the faulty state is set to a standby state and the controller in the normal state is set to an active state.

Disclosed is a method for managing an industrial production line, including at least one processing station and one monitoring station that is connected to the at least one processing station. The method includes: sending a radiofrequency signal from the monitoring station to a communication peripheral; then—sending a corresponding sound signal using the communication peripheral. The sound signal is dedicated to an operator to which the peripheral is assigned. The transmitted information is specific to the communication peripheral. Also disclosed is a corresponding device and facility.

Some implementations provides a system to implement a safety control at an oil and gas facility, the system comprising: one or more motor control centers, each comprising a network interface, and a programmable logic controller (PLC), wherein each motor control center is configured to monitor and control one or more field devices coupled thereto, and wherein a plurality of field devices are dispersed at the oil and gas facility; and a safety instrumented system (SIS) in communication with the one or more motor control centers through the network interface thereof, wherein each motor control center is configured to communicate with the SIS without an interposing relay, and wherein the SIS comprises control elements configured to implement the safety control at the oil and gas facility based on communication with each motor control center through the network interface thereof.

A process control system 100 includes a plurality of controller devices 10 each of which performs process control on a plant, and an input-output device 20 that is connected to a target device of the process control. The input-output device 20 is installed in a different on-premise environment from the plurality of controller devices 10. Each of the controller devices 10 is connected to the input-output device 20 by a different closed network 40, and transmits and receives information on the process control on the plant to and from the input-output device 20.

An anomaly detection method and system for a process instrument, and a storage medium are disclosed. The method includes that: a programmable logic controller (PLC) receives measurement data of a process instrument, the measurement data being periodically stored into a historical database so that a service providing system can perform reading and evaluation. At least one virtual function module is integrated on the PLC, a mapping relation is formed between at least one input channel of each virtual function module and output of at least one anomaly diagnosis algorithm disposed on the service providing system, and each anomaly diagnosis algorithm is used for diagnosing whether an anomaly exists in the process instrument. When an anomaly indication outputted by the service providing system is received via an input channel of the virtual function module, the PLC determines that an anomaly exists in the corresponding process instrument.