Solar Micro-Inverter Fleet Monitoring Platform
US-based renewable-energy / solar technology companyA connected platform collects operational telemetry from distributed solar micro-inverters and provides fleet-wide visibility into performance, device health and faults.
Where AI accelerated vs. where our engineers led.
Every project follows the same Rivix Split — AI drafts the mechanical work, a named engineer reviews and owns every decision that touches safety, cost, or a regulatory limit.
Where AI accelerated
- Protocol implementation & firmware
- Data ingestion
- Dashboard development & analytics
- Backend APIs
- Test generation & documentation
Where our engineers led
- Electrical telemetry interpretation
- Fault semantics
- Data architecture
- Reliability & device-cloud synchronization
- Production deployment
Technical deep-dive
Additional detail on architecture, stack and implementation specifics for this engagement.
Architecture & stack
Each micro-inverter's telemetry is captured through a protocol-specific firmware integration and relayed through a gateway layer into a cloud ingestion pipeline, which feeds a web dashboard giving fleet-wide visibility into performance and faults across distributed installations.
- Protocol-specific firmware integration per micro-inverter telemetry interface
- Gateway layer normalizing telemetry before cloud ingestion
- Web dashboard for fleet-wide performance, health and fault visibility
Connectivity & data pipeline
Telemetry (power output, operating parameters, fault codes) is collected from inverters via their native communication protocol, normalized at the gateway, and streamed to the cloud for aggregation, storage and analytics that support both real-time monitoring and historical performance analysis.
- Telemetry (power output, operating parameters, fault codes) normalized at the gateway
- Cloud pipeline aggregates for both real-time monitoring and historical trend analysis
- Data architecture designed to scale as new sites and inverters are added to the fleet
Key engineering challenges
Interpreting and normalizing telemetry across a fleet of distributed, sometimes-heterogeneous inverter installations — including handling intermittent connectivity from field sites and defining fault semantics that are actionable rather than noisy — was the core engineering problem, alongside building a data architecture that scales as the fleet grows.
- Interpreting and normalizing telemetry across heterogeneous, distributed installations
- Handling intermittent site connectivity without losing fault visibility
- Defining fault semantics precise enough to be actionable, not just noisy alerts
Why this approach
A gateway-mediated architecture was used rather than direct device-to-cloud connections because field installations often have limited or shared connectivity infrastructure, and a gateway layer gives a single reliable uplink point per site while insulating the protocol-specific integration work from the cloud pipeline.
- Gateway-mediated architecture chosen because field sites often have limited/shared connectivity infrastructure
- A single reliable uplink per site insulates the protocol-specific work from the cloud pipeline
- Fleet-wide data architecture prioritized scalability over per-site custom handling