Overview

The Predictive Maintenance System is a cutting-edge solution designed to revolutionize industrial maintenance practices by combining robust hardware, advanced software, and tailored adaptability. With five system versions, three of which are commercially deployed across diverse industries such as mining, food production, and automotive, this system has proven its capability to thrive under demanding industrial conditions. Its development has been shaped by over twelve industry-specific projects, ensuring versatility and resilience.

Key Features

• Robust Hardware: Engineered for harsh industrial environments with flexible power options (battery and direct supply).
• Versatile Communication: Supports 4G, LoRaWAN, BLE 5.0, and WiFi for reliable data transmission.
• Advanced Software: Includes a deep learning neural network trained on real-world data for accurate diagnostics and predictions up to six months in advance.
• Proactive Maintenance: Automatically generates work orders and failure forecasts, reducing downtime and costs.
• Augmented Reality Integration: Enables remote troubleshooting and real-time data visualization through AR glasses.
• Customizable Adaptability: Tailored to measure, process, and predict parameters specific to various industries.

Impact

• Increased Profitability: Boosts production profitability by at least 25% through proactive maintenance.
• Enhanced Efficiency: Reduces the need for on-site professionals with AR-enabled troubleshooting.
• Improved Safety: Provides real-time alerts, minimizing risks to personnel.
• Sustainability: Extends equipment lifespan and reduces waste by preventing failures.
• Cross-Industry Applications: Successfully implemented across multiple industries, showcasing versatility.