The core components of sensXPERT Insight include:
- Dielectric Sensors: Integrated strategically within the mold, these sensors continuously capture precise data on material behavior and curing progress.
- Edge Device: Real-time sensor data is transferred to a robust, secure edge computing unit, which processes and evaluates data directly on the manufacturing floor.
- sensXPERT Live: Software acting as an interface to the edge device that visualizes process progressions and predictions in real-time.
- Machine Learning Algorithms: sensXPERT’s intelligent algorithms analyze data in real-time, identifying patterns and deviations to predict optimal curing times and material behavior, ensuring dynamic, adaptive process control.
- sensXPERT Hub: All processed data and insights are visualized through the sensXPERT cloud-based application, enabling users to oversee, compare, and optimize manufacturing processes across multiple production lines and sites.
This comprehensive, digitally integrated system allows instantaneous adjustments to production cycles—accelerating processes when materials cure faster than expected or extending cycles when slower curing is detected. By automating these real-time adjustments, sensXPERT Insight ensures each manufactured component consistently meets strict quality standards.
Additionally, the digital mapping capability creates a detailed, transparent record of each part’s manufacturing process, offering complete traceability and process accountability.
Manufacturers utilizing sensXPERT Insight achieve substantial operational efficiencies, including reductions of up to 50% in scrap rates, 23% savings in energy consumption, and a 30% decrease in cycle times, significantly enhancing productivity, sustainability, and profitability.
For further information reach out to sales@sensxpert.com
