Predictive Maintenance and Remote Monitoring

Our sensors have been built for the most effective way of use and using a browser-based dashboard is a major part of this. This enables you to view your data at anytime, on any device, wherever you are. Being able to remotely monitor your business environmental and equipment, gives you the freedom to review your data when it matters most. An even better use for remote monitoring comes with your work being widespread across the country or even countries.

Predictive Maintenance

Machine monitoring and remote monitoring perfectly with predictive maintenance as the above case study shows. By remotely monitoring your business and equipment, you can better predict when maintenance is required. With more knowledge and data to better understand the piece of equipment being maintained, the more automated your maintenance schedule can become. Setting up alerts for parameters and wear of certain machinery, with a greater understanding of when maintenance needs to be done, can make it easier and cheaper to maintain machines.

BGB operates wind farms in various locations throughout the UK and needed to improve its process for monitoring the sites. They required a more efficient and cost-effective solution for checking the condition and performance of each turbine. In the past, engineers had to travel to each site periodically and climb up each turbine to check and maintain them, which was time-consuming and often unnecessary. Maintaining the brushes inside each turbine is crucial for preventing potential failures or fires. To solve these issues, we customized our OpenSense sensors for BGB’s use, enabling remote monitoring of each turbine’s environmental conditions and brush wear. This implementation has allowed BGB to remotely monitor their sites, predict and plan maintenance schedules, and save time and money. Additionally, automated alerts are in place to notify BGB when a brush needs replacing.