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Human Machine Systems in Industrial Automation

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Human machine system engineering is a process where analysis, modeling, and design are involved in creating such systems. A true human-machine system focuses on large, complex, dynamic control systems that are automated to a degree. The science brings technology together with human systems. Human-machine systems are systems where humans have certain kinds of interaction with machines and or processes. These interactions are referred to as manual control, supervisory control, and human interaction with artificial-intelligence systems.

• Manual control: Here a human interacts with the machine in order to control its behavior or movements. In some circumstances, depending on application, control factors, and processes, these machines may be programmed to learn from the human as he controls and maneuvers the machines in order to get something accomplished. On occasion, managers will study the movement and work produced by the machine that the machine operator is controlling to learn of ways to speed up all processes.
• Supervisory control: This type of control is different from manual control. The human does not actually touch the machine. He merely monitors and directs the machine in the workload or processes that have to be completed. In many plants and operations, supervisors are stationed at these locations to monitor what are automated systems. They are just there to monitor the movement and output of the machine under his direction. If any problems occur, he has to interact with the machines to correct any flaws that should arise.
• Human-intelligent-system interaction: This is more or less when humans use artificial intelligence to get a machine to perform according to configuration. He may rely on trust, authority, or responsibility of the expert system to guide the machine in the performance of its duty. Certain algorithms are programmed into the system where as the machine acts on those instructions.

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