Client Story

Energy Monitoring Solution for a Leading Telecom Service Provider

Project Overview

A leading telecom service provider wanted to enhance the efficiency and reliability of their 4G antenna network. They aimed to transition from inadequate manual monitoring processes to a sophisticated real-time energy management system. Their primary goals were to improve asset failure prediction, optimize power usage, and reduce operational costs. Additionally, they wanted to ensure consistent uptime and enhance field response times to maintain high service quality and operational efficiency. iotasol's tailored solution, RT-Joule, was selected to address these critical needs and drive significant improvements in their energy management capabilities.

Growth Tracking

60%

Improvement in operational efficiency

50%

Improvement in Tower uptime

45%

Extension in Lithium Batteries Life Extension

Key Challenges

The existing manual monitoring processes were inadequate for predicting asset failure and optimizing power usage, which impacted overall service quality and operational efficiency

Solution

Cloud solution boosts agility and speed-to-market

iotasol has developed a comprehensive real-time energy monitoring and optimization platform, RT-Joule, tailored to the critical assets of the client. This innovative platform leverages IoT sensors and gateways to meticulously monitor energy consumption and other vital parameters of the power systems serving the provider's 4G antenna infrastructure. These systems include batteries, AC-DC rectifiers, protection circuits, fuses, fan systems, and components vulnerable to lightning impacts.

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The solution is integrated seamlessly with industry-standard energy management systems, providing real-time data collection, alert generation, and automated communications to operational and field teams through message and email notifications.

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Outcome

  • Optimal Power Source Selection: Intelligent switching between battery and grid power to optimize energy use.

  • Data-Driven Management: Enabled data scientists to model power system requirements based on subscriber volume, enhancing predictive capabilities.

  • Field Issue Management: More effective management of field issues, reducing downtime and operational disruptions.

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