Elevators and industrial hoists are crucial for various infrastructures, but downtime can lead to disruptions and safety risks.
Traditional maintenance methods may not accurately reflect the system's actual conditions, leading to inefficient use of resources and high risks of breakdowns.
Predictive maintenance for elevators, utilizing real-time monitoring and smart devices, helps prevent sudden failures and ensures operational continuity.
Integration of IoT, AI, and machine learning in maintenance processes enables early detection of issues, minimizing downtime and increasing operational efficiency.