Industrial Automation is the use of control systems, including machines, actuators, sensors, processors, and networks to perform tasks, with the goal of automating production.
Industrial automation started with simple conveyor belts pulling parts through an assembly line. Machines performed basic tasks and work that reduced manual labor. Today, industrial automation is a wide range of machines, actuators, sensors, processors, and networks that work to connect an industrial environment. From PLCs, AI, Machine Learning, and IoT devices, modern industrial automation is focusing on the best way to leverage technology.
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Ranging from a conveyor belt to advanced AI and Machine Learning systems, it is important to understand the types of industrial automation to pinpoint where each technology will find the greatest benefit.
ASIS uses IoT technology to monitor and control irrigation based on real-time data like soil moisture and weather conditions, optimizing efficiency.
WNS-Vuram has been recognized as a 'Leader' in Intelligent Enterprise Automation (IEA) in the ISG Provider Lens™ 2023 US Quadrant Report, highlighting its expertise in designing and implementing automation solutions across businesses.
AGV stands for Automated Guided Vehicle. AGVs are driverless, robotic vehicles that move materials and goods around warehouses, factories, and other facilities. They are also known as autonomous guided vehicles, self-guided vehicles, or mobile robots.
Machine performance health monitoring" refers to the process of using sensors and data analysis to continuously track the condition and performance of industrial machinery, allowing for early detection of potential issues and preventative maintenance to optimize equipment lifespan and uptime.
It originates from Preventive Maintenance and includes Corrective Maintenance and Maintenance Prevention to enhance production efficiency. This approach integrates cost reduction and production improvement for overall optimization.