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Process automation systems typically consist of several components that work together to control and monitor the process. These components may include: Sensors: Sensors measure various parameters such as temperature, pressure, flow rate, and chemical composition. These sensors generate signals that are transmitted to the controller.
Robotic process automation (RPA) involves the deployment of attended or unattended software agents in an organization's environment. These software agents, or robots, are programmed to perform pre-defined structured and repetitive sets of business tasks or processes.
The term process automation is essentially synonymous with process control. Process controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and/or a supervisory control computer. DCSs and PLCs are typically industrially ...
Robotic process automation (RPA) is a form of business process automation that is based on software robots (bots) or artificial intelligence (AI) agents. [1] RPA should not be confused with artificial intelligence as it is based on automotive technology following a predefined workflow. [ 2 ]
This is the core of the SCADA system, gathering data on the process and sending control commands to the field connected devices. It refers to the computer and software responsible for communicating with the field connection controllers, which are RTUs and PLCs, and includes the HMI software running on operator workstations.
The definition of a closed loop control system according to the British Standards Institution is "a control system possessing monitoring feedback, the deviation signal formed as a result of this feedback being used to control the action of a final control element in such a way as to tend to reduce the deviation to zero."
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