Hexwise provides an AI-powered Digital Twin platform to optimize industrial cooling systems for enhanced production and energy efficiency. The solution identifies inefficiencies in air-cooled heat exchangers through initial datasets, quantifying potential improvements in a low-risk business case. Upon implementation, the platform offers real-time visibility, predictive analytics, and actionable recommendations to continuously improve cooling performance across various industrial applications.
Funding
Funding not disclosed
Founders
Product
Problem
Air-cooled heat exchangers often suffer from performance degradation due to unmonitored mechanisms like fouling, hot-air recirculation, and drive train inefficiencies. Traditional maintenance relies on periodic, on-site inspections, which provide incomplete data and increase the risk of missing critical issues, leading to unexpected downtime and reduced operational efficiency.
Solution
Hexwise provides a digital twin platform for air-cooled heat exchangers, enabling continuous, real-time performance monitoring and predictive maintenance. The solution involves installing advanced sensors and gateways on existing equipment to capture critical data points such as vibration, temperature, and wind conditions. This data is streamed to a secure cloud environment where a digital twin model is created, allowing for detailed analysis of operational patterns and identification of degradation mechanisms. The platform translates this data into actionable insights and recommendations delivered via an intuitive dashboard, empowering operators to optimize cleaning schedules, predict failures, and proactively manage maintenance for improved reliability, energy efficiency, and production output.
Target Audience
Hexwise targets industrial companies across sectors like power generation, gas processing, and distillation, specifically process engineers and maintenance teams responsible for the operation and upkeep of air-cooled heat exchangers.
Features
- Digital twin software specifically designed for air-cooled heat exchangers, applicable across various industries and scales.
- Seamless integration of advanced sensors and gateways on existing equipment for continuous data capture without operational disruption.
- Real-time data streaming to a secure cloud environment for processing within the digital twin model.
- Monitoring of key performance indicators including vibration (e.g., V-RMS), temperature, wind conditions, belt slip, and hot-air recirculation.
- Predictive analytics for identifying performance inefficiencies and potential equipment failures.
- Weather-based performance prediction by integrating real-time meteorological data to anticipate impacts on cooling efficiency.
- Actionable insights and recommendations, including optimized cleaning schedules and maintenance planning, with estimated performance improvements.
- Intuitive dashboard for visualizing real-time data, performance trends, and maintenance alerts.
- Optional integration with existing data sources, such as SCADA systems, for more comprehensive analysis.
- ATEX-certified vibration sensors for robust condition monitoring.