Predictive maintenance of industrial generators
Predictive maintenance of industrial generators

Predictive Maintenance for Generators

InHand Networks offers a predictive maintenance solution for industrial generators, featuring real-time monitoring, intelligent data analysis, and
remote management, enhancing reliability, reducing costs, and improving operational efficiency.

 / Predictive Maintenance for Generators

Background

The economic backbone of the U.S. relies on generator manufacturers, which extends across virtually every industry. Moreover, power outages pose significant risks to industrial users, encompassing inventory loss, equipment failure, and disrupted just-in-time deliveries, ultimately resulting in potential losses reaching into the millions of dollars. Consequently, a top generator maker is seeking to reduce unplanned downtime, lower maintenance costs, increase operational efficiency, and improve customer satisfaction and equipment safety for their industrial generators by implementing a predictive maintenance solution.

Background of predictive maintenance of industrial generators

Customer Requirements​

Real-time Monitoring

Real-time monitoring of generator parameters
through the sensor network, including temperature, vibration, voltage, current, etc.

Data Analysis

Intelligent data analysis for recommendations for
operational improvements.

Remote Management

Remote monitoring and management of
generators with real-time health warnings.

Predictive Maintenance

Optimization of generator maintenance schedules to operational costs.

Solution

Predictive maintenance solution for industrial generators
Predictive maintenance solution for industrial generators

InHand Networks implemented a predictive maintenance solution using the EC312 edge computer and IoT technologies. Specifically, this device, supported by an ARM-based Linux edge computer, connects to industrial generator controllers and uses an Azure IoT Edge application to monitor parameters like temperature, vibration, pressure, and current in real time. Additionally, the EC312 processes and analyzes data locally, which reduces latency and alerts the maintenance team when anomalies are detected. This data is then securely transmitted to the cloud, thereby ensuring safety and offering easy internet connectivity. As a result of implementing this innovative predictive maintenance solution, the customer not only enhanced the reliability and performance of its industrial generators but also achieved significant cost savings and improved customer satisfaction.

Benefits

Easy for Customization

With a standard Linux operating system, the EC312
enables easy customization and unrestricted installation of third-party edge applications on the Linux platform.

Reliable Connectivity Globally

The EC312 supports global cellular network access, ensuring convenient and efficient connection anytime, anywhere.

Extensive Interfaces for Varying Generator Models

The EC312 offers a rich
set of interfaces (including AIN, CAN), enabling easy access even for older models of existing industrial generators.

Reliable Performance in Industrial Sites

The EC312 supports super
capacitors, maintaining normal operation during the power switch-over from the main power to the generator power within 500ms of power loss.

Remote Management Made Easy

InHand DeviceLive facilitates efficient cloud management, truly enabling users to manage edge applications at scale.

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