About PowerFlux

PowerFlux helps factories understand machine condition before failures stop production. Edge devices collect sensor data from machines, the web app visualizes measurements, and AI-assisted analysis supports maintenance decisions with clear reports.

• Unexpected machine failures create downtime, service pressure and production losses.
• Maintenance teams often lack one clear view of temperature, vibration, humidity and electrical load across machines.
• Small and medium factories need practical monitoring that can integrate with existing sensors, PLCs and industrial workflows.

PowerFlux combines hardware, software and analytics into one industrial monitoring workflow:

• AI Optimization: Detects abnormal machine behavior, highlights risk patterns and supports maintenance planning before downtime occurs.
• IoT Integration: Connects industrial sensors and edge devices to collect machine data continuously and securely.
• Reports & API: Generates CSV reports, exposes authenticated device APIs and keeps machine data separated per user account.

• AI & Machine Learning: Anomaly detection, trend analysis and assisted reporting for maintenance teams.
• Embedded Linux: Yocto-based edge devices, systemd services, secure provisioning and RAUC-ready update concepts.
• IoT: Hardware PowerFlux.

PowerFlux is developed by Patryk Pieczka, an Embedded Linux and C++ software engineer focused on industrial systems, Yocto, Qt/QML, Python automation and reliable edge-device software.