IIoT – predictive maintenance
We are now at a turning point in the industry and are transitioning to the next phase of technology: smart and autonomous systems powered by machine learning. Industry 4.0 optimizes technology through machine learning and data exchange in the manufacturing process. In Industry 4.0 cyber-physical systems monitor physical processes, create virtual copies of the physical world and make decentralized decisions. These systems communicate with one another and to humans in real-time, via wireless connections to the same network. With Industry 4.0, software becomes more reliable and has higher productivity. It also allows for better communication throughout companies, and helps increase efficiency in manufacturing processes.
Here at Inovum IT Solutions, our team of expert software developers are building products for the future of Industry 4.0. Inovum designs advanced industrial solutions that significantly improve machine surveillance as well as the overall production process of manufacturing businesses. We help clients to gather machine and production data on a large scale. Apart from providing real-time data ensuring a smooth machine navigation. With the help machine learning smart systems predict future machine behavior so that steps can be taken to avoid complications or interruptions of the production process.
Inovum utilizes smart computing and a field of Industry 4.0 called Predictive and Prescriptive Maintenance. These two disciples utilize machine learning to provide increasingly effective solutions to machine maintenance.
Our solutions significantly differ from existing IIoT (Industrial Internet of Things) solutions providing additional features and improved characteristics building on data analysis, artificial intelligence, and machine learning.
Predictive Maintenance systems utilize machine learning and historical data to allow advanced detection of pending failures and enable timely interventions before a machine failure occurs.
Prescriptive Maintenance utilizes software to pattern identification points for the purpose of diagnosing root cause issues and indicates exact and timely actions to change the outcome in a timely manner. Rather than predicting incoming machine failures, Prescriptive Maintenance utilizes big data analytics to produce recommendations to prevent the upcoming machine failures.
By implementing Predictive and Prescriptive Maintenance, our clients will reduce unplanned downtime within the workplace, promote rapid implementation, boost worker productivity and decrease overall maintenance costs.