Our project in
Holocron has developed an automated system for monitoring, diagnostics and forecasting the condition of technological facilities and equipment.
The system performs smart data analysis from sensors (IIoT) and predicts a change in the state of objects during their operation, in order to reduce costs, as well as the risk of failures and downtime.
The system is primarily geared towards the needs of electric grid companies, including forecasting the condition of cable networks, with subsequent application in other areas, such as urban infrastructure, transport, industry, etc.
A unique combination of technologies
The system developed by Holocron, surpasses existing industry solutions, supplementing their capabilities with Fog Computing and the Internet of Things technologies: Event Stream Processing + IoT Analytics
The system designed for power grid companies is built on the basis of a universal technological platform, which makes it easy to adapt the solution to other industries. The system runs on data from various sources, providing a reliable and complete picture of what is happening with the facilities being monitored.
Using fog computing technology makes it possible to process and accumulate data on local nodes (on the border of infrastructure), without transmission to the cloud. This enhances system performance by at least 30%.
Low data network requirements. The system is able to operate without a permanent connection to a centralized data processing service.
The system is less costly than its international peer solutions.