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Digital Twins has been a revolutionary concept in the data analytics segment. Simply put, it is the data model of a physical asset. Consumer Internet giants such as Amazon and Google have made the most of this trend by building digital twins models based on human behaviors. Firstly, they used coarse-grained demographic models to analyse user behavioral patterns. As they grew, they started analyzing buying trends of each individual thus moving from the coarse-grained demographic models to consumer-specific models.
Considering the need for a hardened and massive computing platform that can converge data science and physical science, GE has come up with a new Industrial Internet Platform,Predixthat combines data, people and intelligence. This GE IoT platform harnesses digital twins to optimize resources while providing predictive maintenance for the industrial segment. Predix supports on-premise, mobile and cloud deployments. With the worlds first industrial internet platform Predix, GE is now able to reduce unplanned asset downtimes, optimize resources to reduce costs, improve reliability while reducing operational risks. With 1% of improved efficiency, the aviation segment saves $2-$3 billion, the utility segment saves $4-$5 billion and Oil & Gas sector saves $5-$7 billion annually.
While a single prediction can cost up to $1000, it is far more economic when you consider the fact that resolving a faulty aviation engine can cost up to $200,000. With such higher numbers on stake, higher performance and fidelity is required which is why thousands of algorithms are run in parallel. The results are aggregated and a genetic algorithm is applied taking only the most fit predictor into consideration.
GE IoT Platform Predix with Digital Twins brings Predictive Maintenance for Industrial Assets
Digital Twins for Predictive Maintenance
With Digital Twins, GE moved from a reactive approach to a proactive model. Digital Twins combines the data, analytics and learning systems to predict the future behavior of a critical component. For instance, when an aircraft takes off, it collects the data related to weather conditions, dust conditions, ambient temperature and corrosive environment. When this data is matched with the manufacturing data, damage accumulation is predicted. By leveraging the knowledge of science, engineering and machine learning amassed over the decades, GE is able to build data models of various assets and processes in the industrial segment to offer predictive maintenance.
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GE IoT platform Predix, the worlds first industrial internet platform is the latest buzz in the Industrial IT segment. General Electric (GE) is an American-based multinational company that operates across multiple verticals ranging from Aviation and Energy to Healthcare and Oil and Gas. It was ranked as the third largest company inForbes Global 2000list for 2011. As GE industrial operations involve heavy machinery and expensive components, a minor delay in a process resulted in huge revenue losses. Similarly, any unplanned downtime was costing 10 times more than a scheduled one. In the Oil & Gas industry, a small mistake can cause an environmental disaster. To overcome this challenge, GE turned to Digital Twins. Using the data generated by the sensors, the company was able to assess the health of the machine and act accordingly.
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GE IoT Platform Predix with Digital Twins brings Predictive Maintenance for Industrial Assets