Electursys- Industrial IoT & AI based Predictive Maintenance Solution

Client

Karsten Moholt

Platforms

Web

An R&D project funded by Eureka and Innovate UK. Developed in collaboration with Karsten Moholt. Karsten Moholt is a specialist operator and maintenance provider for Offshore infrastructures like Oil & Gas rigs, wind turbines and more

Challenge

Collect data points & build models to predict electrical component failures on Wind Turbines, so that the system can automatically schedule preventive maintenance.
Providing reliable and consistent connectivity in various environments, including remote or harsh conditions.
Handling the vast amounts of data generated by IoT devices requires efficient storage, processing, and analysis capabilities to derive actionable insights.
Ensuring seamless integration and communication between diverse devices and platforms with different standards and protocols is a significant challenge.
Protecting sensitive data and ensuring privacy are major concerns due to the increased number of connected devices, which can be vulnerable to cyber-attacks.
Managing the growth of IoT networks, which may involve thousands or millions of devices, requires scalable solutions for data processing, storage, and communication.

Key Objectives

To create a web-based solution that can be integrated with wind turbines to pull relevant data for predicting electrical failures,
Execute technical R&D to understand data patterns that can help predict electrical component failures.

Solution

We created a comprehensive data model capable of predicting failures. In a wind turbine with over 10,000 components, our data model predicts both mechanical and electrical failures. It specifically forecasts when electrical failures may occur.

We developed a network architecture to collect various sensor data, created APIs for real-time data collection, implemented pre-processing to minimize latency, developed AI algorithms to predict faults, designed a UI to visualize data trends, and created a scheduling system for maintenance.