Artificial Intelligence in Industrial Automation Ishola, Eniola Olaniyi and Jenny, K. Anto Nasco Household Products Limited Abstract The industrial revolution in the period from about 1760 to sometime between 1820 and 1840 moves from passive tools to active machines. New sources of energy supplement and even replace human strength, but human intelligence remains dominant. The strength and activity of the machine stands between the human and the material; the worker's interaction is more with the machine than with the material, and humans move from being artisans to operators. To compete effectively in today's markets, manufacturers must be able to design, implement, reconfigure, resize, and maintain manufacturing facilities rapidly and inexpensively. Because modern manufacturing depends heavily on computer systems, these same requirements apply to production control software to help major home improvements manufacturer to improve product consistency, quality and output, and are more easily satisfied by small modules than by large monolithic systems. This paper will be focusing on the practical application of artificial intelligence in industrial automation which is becoming increasingly common in technical decision making in the field of Electrical Electronics Engineering (Automation and Control Engineers), and seen as fundamentally important tool for building a wide array of control systems. This research is aimed to expound AI special abilities that can be employed through a PLC-based process control system for the modernization of Rovema industrial machine. These special abilities will identify the methods for implementing AI and Human-Machine Interface(HMI) into the process which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The result will be a transfer of a machine or process’s control system from conventional relay logic to a programmable controller that can successfully diagnose, control, and predict outcomes based on knowledge engineering and program sophistication. Introduction A programmable controller is a powerful machine, but it can only do what it is told to do. It receives all of its directions from the control program, the set of instructions or solution algorithms created by the programmer. Programmable logic controllers, also called programmable controllers or PLCs, are solid-state members of the computer family, using integrated circuits instead of electromechanical devices to implement control functions. They are capable of storing instructions, such as sequencing, timing, counting, arithmetic, data manipulation, and communication, to control industrial machines and processes. However, PLCs can be thought of in simple terms as industrial computers with specially designed architecture in both their central units (the PLC itself) and their interfacing circuitry to field devices (input/output connections to the real world). As PLCs have developed and expanded, programming languages have developed with them. Programming languages allow the user to enter a control program into a PLC using an established syntax. Today’s advanced languages have new, more versatile instructions, which initiate control program actions. These new instructions provide more computing power for single operations performed by the instruction itself and to solve a whole range of hitherto intractable problems, Artificial Intelligence (AI) techniques are now being used by the practicing engineers. Artificial Intelligence is not in itself a commercial field, but a science and a technology. There are several reasons to incorporate Intelligent Agents to industrial machines. First, an agent is a computer system situated in some environment, and that is capable of autonomous action in this environment in order to meet its design objectives. Autonomy is a difficult concept to pin down precisely, but we mean it simply in the sense that the system should be able to act without the direct intervention of humans (or other agents), and should have control over its own actions and internal state. The potential benefits of the PLC, like any intelligent device, will depend on the creativity with which it is applied.