In brief
The Government of Cameroon, through EDC (Electricity Development Corporation), entrusted Pepps with the development of a remote monitoring and predictive maintenance system for the Lom Pangar hydroelectric dam.
- Objective : to modernise supervision practices, anticipate technical failures, and ensure the safety of the infrastructure.
This project leverages Pepps’ expertise in monitoring and predictive maintenance, as well as in custom business applications, within the framework of development cooperation in the energy sector.
THE CHALLENGE
Implementation of an intelligent monitoring and maintenance platform
Before the solution was implemented, dam management relied on reactive maintenance, triggered only when a malfunction occurred. This approach resulted in :
- unplanned shutdowns,
- limited visibility into the condition of the equipment,
- difficulty in monitoring the ageing of structures remotely,
- and the absence of decision-support tools to prioritise maintenance actions.
THE MISSION
Intelligent tools to optimise dam supervision
Pepps designed an intelligent monitoring and maintenance platform that collects field data, enables remote supervision of equipment, and anticipates failures through artificial intelligence.
- Web and mobile application for on-site data collection and measurement consultation
- Equipment monitoring through intelligent sensors (piezometry, vibrations, mechanical stress) and a Smart Data Hub to centralise, store, and continuously transmit data
- Predictive analytics engine (AI & machine learning) to anticipate failures and recommend corrective actions
- GIS-based cartographic interface (PostGIS) to visualise sensitive areas, with automated alerts and dashboards to manage maintenance priorities
IMPACTS
Measurable impacts on dam safety and performance
Anticipation of critical failures
The system detects anomalies before issues occur. Teams can plan interventions in advance and avoid unplanned shutdowns.
Prioritisation of maintenance actions
Technical resources are focused on high-risk areas, with improved allocation of time and resources.
Real-time monitoring of critical infrastructure
Continuously transmitted data makes it possible to visualise the dam’s condition, active sensors, and the evolution of sensitive indicators.
Enhanced site security
Intelligent alerts notify stakeholders when thresholds are exceeded, strengthening the reliability and safety of the dam.
TECHNOLOGIES
Technologies used for intelligent supervision
This project relies on carefully selected technologies designed to deliver performance, security, and scalability.
Front-End
- Grafana dashboard and embedded web interface for local access and cycle control.
Back-End
- Python / Flask to orchestrate measurements via REST API.
- InfluxDB and PostgreSQL for temporal and operational data storage.
Other
- Siemens PLC and level sensors for automated data collection.
- Automated instrumentation support including dilution, cleaning and sample imaging.
- Image analysis algorithms to measure the sludge front and calculate the SVI.
- Cloud supervision for secure remote data access and processing.
Why choose Pepps for the digitalization of your infrastructures?
Pepps works on industrial, energy and environmental projects where reliability is paramount.
Integration of machine learning solutions and analysis of complex sensor data streams to anticipate malfunctions.
Interfaces designed for direct on-site use, even in limited connectivity conditions.
Centralisation of critical data and automated notifications to prevent incidents.
Dynamic visualisation to locate and prioritise risk areas.
Personalised follow-up, from design through to system maintenance.
Looking to secure your infrastructure with an intelligent solution?
The project carried out for the Lom Pangar dam illustrates Pepps’ ability to put technology at the service of safety and performance. If you want to anticipate failures, monitor your installations remotely, or strengthen the reliability of your critical operations, let’s discuss your project together.