Machines (automation systems) have to execute automation tasks which have been originally done manually, including mechanization. Mechanization is considered to be a step between manual labor and automation – eliminating the need for physical work, but machine control and maintenance are still necessary for operators. However, the requirement for an operator is removed with an automated device with sensory inputs and programs. The result is highly independent machine systems, which can perform a task without human help from beginning to completion. There are a lot of industrial automation companies nowadays.
Types of Automation System
A seamless integration of automated machines into numerous industries involves several types of industrial automation systems that range from manufacturing tasks to the handling of telephone intercoms. Throughout daily life, each time we use an ATM, we consider automatic systems. Human reliance is large, even because we have to handle our accounts, phone calls, and machines. Their roles are important. There is no wonder that not all computer processes are the same for such a range of features. One of a variety of devices may be responsible for an automatic system, depending on the specific function: an artificial neural system, a distributed control system, a human-machine interface, monitoring control and data collection or a programmable logic controller. Below are the automation styles, as well as manual and automatic processes examples.
Artificial Neural Network
A mathematical or computational model is an artificial neural network that imitates biological neurons rhythms. The network configuration is flexible , meaning that it may adjust on the basis of external or internal knowledge sharing through the network. Neural artificial networks are used to classify trends in data pools and categorize connections (for example sequence recognition). Applications include email spam filters, system management (such as in a car), system pattern recognition (such as radars), speech, movement, text, or financial automated trading system pattern recognitions.
Distributed Control System
There are different controls in the network inside a centralized control structure. The controls are not centrally centralized, but appear to be scattered based on what region of the device is controlled, each control in a communication network being connected to the other. Such forms of automation are widely used in production processes, especially in the case of continuous action or output. The controls may be configured to boost or track system output for a specific operation. Distributed control systems typically monitor the lighting and may also be used for oil refining and power production at central stations.