Integrating AI into maintenance operations can transform how we monitor and take care of equipment. Using sensors and IoT devices, data is constantly collected from machinery and processed by AI algorithms to predict when breakdowns or maintenance are needed. This proactive approach prevents unexpected downtime, extends the life of equipment, and keeps workers safe.
ES Ranganathan explains, "By designing systems that prevent breakdowns during operation and allow for repairs or replacements during downtime, AI helps protect equipment and heavy machinery. This strategy ensures smooth operations, saves costs, and improves safety."
AI algorithms can also analyze large amounts of data to optimize resources, such as finding the best drilling locations or improving processes. This leads to higher productivity and less waste. Ranganathan adds, "Drilling optimization uses advanced AI algorithms to analyze geological and subsurface data to find the best spots for drilling oil, gas, or other resources." This method aims to make drilling operations more efficient and cost-effective, using machine learning and data analysis to find patterns and signs of underground resources.