HTRI SmartPM - Performance Monitoring and Predictive Maintenance Software
SmartPM is HTRI's innovative digital transformation (DX) software that is revolutionizing the monitoring and performance prediction of complex and often heavily fouled shell-and-tube networks. By harnessing the power of HTRI's detailed heat exchanger technology in robust digital twin models, major operating companies around the globe are maximizing operational efficiency by reducing energy use and emissions and managing maintenance costs.
Users can manage their digital transformation (DX) processes by building and controlling their own complex heat exchanger network models.
- Facilitate the sharing of critical operational performance data (both measured and calculated) for past and future performances.
- Empower work groups across departments and locations to collaborate seamlessly in operational, engineering, financial, and environmental decision making.
- Synchronize efforts for enhanced efficiency and success (from optimization to maintenance and cost projects).
Over 100 heat exchanger networks around the world have been modeled using SmartPM. Of those, crude preheat trains currently account for more than 15% of crude oil processed globally.
As an advanced digital platform, HTRI SmartPM is engineered to facilitate digital transformation through advanced monitoring, predictive analytics, and proactive maintenance of industrial thermal systems (including digital twins of heat exchangers and fired heaters). It integrates decades of HTRI's research in heat transfer, thermodynamics, and process control with the latest in physics-based modeling and artificial intelligence technologies.
SmartPM is utilized by plant personnel, maintenance engineers, procurement and R&D departments, engineering teams, energy efficiency analysts, and heat transfer specialists. They use it for a range of tasks, including
- managing cleaning schedules
- optimizing heat recovery
- analyzing retrofit and revamp options
- assisting in crude procurement decisions
- assessing the effects of fuel switches
- reducing both fuel consumption and emissions
Direct bi-directional integration with data historians allows for effortless handling of vast and varied industrial data. SmartPM utilizes proprietary data reconciliation processes to streamline the monitoring of heat exchanger performance, reducing the need for extensive user input. Additionally, its predictive analytics are reinforced by validations from an active user community. The digital transformation of data management enables users to make informed decisions based on the complex data.
The setup of SmartPM involves constructing digital twin models for heat exchangers, using Xist® and Xfh® Ultra designs. This process integrates detailed heat exchanger design data into the SmartPM system, ensuring accurate digital twin heat exchanger modeling and data integration.