Smart Predictive Maintenance for Industrial Machinery for a US-Based Industrial IoT Company
Overview
The client is a US-based ‘one-stop solution provider’ in the domain of IoT for different industry applications. They wanted to design a smart system that can identify the abnormal behavior of the industrial machinery for preventive maintenance or failure detection at an early stage. ACL Digital developed the IoTify framework, hosted on the AWS IoT cloud, providing a robust solution to address the client’s needs in industrial IoT and predictive maintenance.
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Challenges
Lack of AI/ML implementation to detect the application failure at early stage
Lack of dashboard customization for suitable data views
Solutions
- Deployment of IoTify framework on AWS IoT cloud
- Dashboard customization for suitable data view with a various configurable parameter to analyze the system quickly
- Collection of various sensors (vibration, temperature, etc) data using CENTAURI 200 Gateway via BLE/ZigBee/Z-Wave
- Leveraging existing OTA management functionality for on-field updates for gateway and connected devices from Cloud AI/ML implementation for application
- Quick mobile application development using IoTify SDK
- Leveraging pre-integrated gateway platform with CENTAURI 200 software framework for quick solution development
- Provided support for Tensor flow light to run the AI/ML model and detect anomaly
Outcomes
- The client was able to save 50% cost in upfront research and development using the IoTify framework
- The client was able to build a technological edge over a competitor as they were using old time-consuming methods which often resulted in a breakdown
