Levels of Automation

- Authors: Ilesanmi Afolabi Daniyan1, Lanre Daniyan2, Adefemi Adeodu3, Ikenna Uchegbu4
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View Affiliations Hide Affiliations1 Department of Industrial Engineering, Tshwane University of Technology, Pretoria0001, South Africa 2 Department of Instrumentation, Centre for Basic Space Science, University of Nigeria, Nsukka, Nigeria 3 Department of Mechanical Engineering, University of South Africa, Florida, South Africa 4 Department of Mechanical & Mechatronic Engineering, Afe Babalola, Ado Ekiti, Nigeria
- Source: Principles of Automation and Control , pp 50-59
- Publication Date: September 2023
- Language: English
This chapter discusses the levels of automation (LOA). The degree to which a system, process or task is automated is referred to as the level of automation. They are: manual, semi-automatic and fully automatic depending on the level of human involvement, the system or processes to be automated and the end users’ requirements. At the lowest level; the manual represents the human control level while the fully automatic level represents the computer controls level. At the semi-automatic level, the control activities involve both human and computer controls. The human control tasks include sensory processing for information acquisition, perception for information analysis, decision-making based on cognitive processing for action selection, and response selection for action implementation. Furthermore, this chapter also highlights the elements of system automation and classes of automated systems. The identification and specifications of the elements of the system’s automation based on the end-user requirements are a critical aspect of the control design phase. The major elements of the system’s automation include a sensor, a controller, an actuator, a power component, a motor and drives, a communication protocol, a human-machine interface, etc. Classes of automation systems could also be fixed, programmable, flexible, integrated, or cognitive automation depending on the need. The future of fully autonomous systems is exciting and promising although many industrial processes and systems are semi-autonomous thus relying on human factors such as physical, mental and technical capabilities such as intuition, perception, sensitivity, observation, experience, and judgment to arrive at effective decision making as it relates to system’s control.
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