What are the challenges in Manufacturing Industries?
Technical faults in machinery will decrease turbines’ productivity, disrupt deliverables, and ultimately decrease credibility. Several turbines are available for a single farm, so it isn’t easy to manage them manually because we have several components for each turbine. If one major component stop functioning and service are not provided on time, it will affect the whole production. So we need to take care of each component, alerts generated by them, and when was last service done. Therefore IoT (Internet of Things) in Manufacturing Industries is necessary.
By using our IoT devices and AI-based models, we will analyze Manufacturing Industries.
- Our historical data will determine production in each and predict the incoming production year.
- Thus the customers can see when the last service like generator bearing replacement, generator replacement took place, and days spent after the last service.
- This will also help to determine the total expenses on each turbine. If those particular expenses reach the threshold still productivity is growing down. This means we need to be attentive to other components. There might be chances for the damage of some other major parts.
- Using historical data, we need to forecast the failure of components to provide service in advance through the AI model and IoT sensors used.