ANDRITZ recently deployed its digital innovative Metris DiOMera solution at the Mwadingusha hydroelectric power plant (operated by Société Nationale d’Electricité, SNEL SA), marking the first deployment of this system in the Democratic Republic of Congo. This continuous monitoring and predictive maintenance system marks a major advance in hydroelectric asset management for SNEL SA.
The main objective is to increase the plant's productivity by strengthening preventive maintenance, improving equipment reliability and optimising its service life. The first phase of the project consisted of installing and commissioning the equipment and training the predictive models, which was completed successfully.
DiOMera relies on advanced mathematical models to monitor critical components of the power plant. It generates key diagnostic indicators (KDIs) and key trend indicators (KTIs) to anticipate failures.
Key Benefits
- Continuous monitoring: Real-time tracking of critical parameters (temperatures, vibrations, pressures, etc.)
- Predictive maintenance: Anticipation of maintenance needs to reduce downtime and costs
- Performance optimisation: Identification of deviations from benchmark performance
Implementation at Mwadingusha HPP
- 452 KDIs available for the power plant's six units
- Risk detection: Early identification of cracks in Francis runners and other critical components
Scope of Services
The project is structured in two phases:
- Phase D1: Design, supply and implementation of the system (local server, SCADA configuration, training)
- Phase D2: Ongoing operation with software maintenance, monthly reports and technical support
For the next phase (phase D2), the project will run for an initial period of five years, with the gradual implementation of digital services via the Metris DiOMera platform. Specific predictive indicators may be developed to address the specific challenges of Mwadingusha's equipment and operating methods.