• Clients:

    Loram

  • Category:

    DevelopmentTech

  • Services:

  • Web:

Solar-powered system monitoring vibration, temperature, humidity, and battery data.

Description

Accel24 is a solar-powered industrial monitoring system designed to capture real-time vibration data across three axes (X, Y, Z), along with environmental parameters such as temperature and humidity. Built for industrial health monitoring and predictive maintenance, the device helps detect early signs of mechanical faults or anomalies in equipment by analyzing vibration patterns. Its energy-efficient design is powered by solar panels with an integrated battery system, ensuring reliable data collection even in remote or off-grid industrial areas. The system includes battery status monitoring to ensure uninterrupted performance. All collected data is sent securely to the cloud, where users can access and visualize it through an easy-to-use interface, enabling timely decisions and proactive equipment care.

Key Features / Functionalities

  • 3-axis vibration sensing to detect abnormal movement or imbalances in machines.

  • Integrated temperature and humidity sensors for environmental monitoring.

  • Solar-powered system with battery backup for uninterrupted operation.

  • Real-time monitoring of battery status and power performance.

  • Cloud-based data logging and visualization for remote access and alerts.

  • Compact, industrial-grade design suitable for rugged environments.

How This Project Helped Our Client

This solution allowed for continuous, remote monitoring of both machine behavior and environmental conditions without relying on external power sources. Early detection of vibration anomalies helped prevent potential machine failures, reducing costly downtime and maintenance efforts. The solar-powered setup enabled deployment in isolated locations, eliminating dependency on wired power. Additionally, centralized cloud access improved decision-making by allowing teams to monitor trends and receive alerts regardless of location. The project significantly improved asset visibility, predictive maintenance, and overall operational resilience.

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