We help you build a digital twin that assembles comprehensive data for a variety of assets very quickly and deliver analytics and visibility across your enterprise. The digital twin captures real-time data from the physical object to simulate the asset’s behavior, allowing a shift from preventive maintenance, based on historical data, to predictive maintenance, based on real-time data. Prusight’s advanced data analytics, and machine learning capabilities enable digital twins to exhibit the effect of design changes, use cases, environmental conditions, and other innumerable parameters, thus eliminating the need for physical prototypes, reducing development time, and improving the quality of the end product.
Transform your factory data into actionable insights through Prusight’s AI powered automation
How it works
Prusight is capable of receiving data from numerous sources across your enterprise, like energy meters, PLCs, ERPs, Spreadsheets, Logs, Batch reports, etc., all having either related or completely different data formats in which they were created and translate this data into Prusight’s AI data pipeline.
The unstructured data is then converted into contextualized data in real time with the help of our intelligent systems and machine learning classifiers. Prusight’s AI Data Pipeline is customizable using Digital Twin Builder. Machine learning and advanced analytics is applied onto the data to provide information regarding anomalies and insights.
Create a digital twin
Prusight creates a dynamic image of your factory, plants, lines, machines, products, and processes using a digital twin builder, which then maps out comprehensive, real time semantic context of process and product data.
The data is then analysed using best practices in reporting, diagnosis, stated KPIs and asset performance. A new dashboard is created by Prusight to depict data in real-time across the entire supply chain. Prusight also creates alerts in the system by analysing the data as part of its predictive maintenance feature.
The conditioned data is then presented across the supply chain in real-time for every line, machine and plant for actionable insights. Prusight presents this real-time data in contextualised dashboards for the appropriate person.
Optimize digital manufacturing capabilities with Prusight’s edge computing solutions
Real-time or near real-time data analysis as the data is analyzed at the local device level, not at a cloud or a distant data center.
Reduced network traffic
The data is being transmitted from local devices via Prusight to a data center or cloud, thereby reducing network traffic bottlenecks
The data is being managed by a single platform as against cloud and data centers, thus reducing operational and data management expenses.
Prusight provides a single platform for edge computing and advanced data analytics, and hence requires lower latency and improved architectural flexibility.
Prusight’s Artificial Intelligence and Machine Learning capabilities will solve the biggest challenges faced by the manufacturing industry
Prusight’s algorithms make use of the historical data and other manufacturing process related parameters to predict any machine failure and threats. The information is also used to predict any unexpected downtime, which may put the entire unit to halt. The conditioned data improves the overall equipment efficiency, optimize asset utilization and thereby increases production.
The data captured by Prusight helps in setting tight tolerance levels and notifying the shop floor workers in case a process has crossed the tolerance limits. Reliable alerts are set up to monitor the machines and maintain them. This improves first-pass yield, reduces scrap, and identifies the root cause of quality issues.
The data captured can be compared against the benchmark information regarding the line, machine and plant, thus driving continuous improvement. Prusight uses this data to provide real-time visibility of every line, machine and plant throughout the enterprise. This helps the organization in making informed decisions for better productivity and quality.