
An AI-powered solar monitoring platform that automates data collection from inverters and MPPTs, eliminates manual field analysis, and gives plant owners complete operational control from a single dashboard.
Automation of field rounds and performance calculations freed the team for higher-value work.
PR values, energy yield, and device readings collected and computed continuously by the platform.
Custom AI model continuously surfaces underperforming devices and power-quality issues.
The client is a solar plant owner and operator responsible for managing a large-scale solar energy installation consisting of multiple solar panels, Maximum Power Point Trackers (MPPTs), and inverters. As a renewable energy operator, maintaining peak performance across every component of the plant is critical to maximizing energy yield and ensuring a reliable return on their infrastructure investment.
Before Enlyra, the client's team had no centralized system to monitor their solar plant. Workers were required to physically visit each inverter and MPPT one by one to read energy output, check electrical parameters, and assess performance. With multiple devices spread across the plant, this process was time-consuming, labor-intensive, and reactive by nature. Critical calculations such as Performance Ratio (PR) and daily energy yield were done manually, consuming significant staff time every day while leaving the plant vulnerable to undetected faults and performance degradation.
The absence of a centralized monitoring system meant that the client had no real-time visibility into the health or performance of their solar plant. Every data point had to be gathered manually from individual devices, making it impossible to detect faults quickly or respond proactively to performance issues. Workers had to check inverters and MPPTs one by one, making the monitoring process slow and heavily dependent on physical presence at the plant. Manual data collection meant that faults, underperformance, or abnormal readings could go undetected for extended periods, leading to energy loss and potential equipment damage. Daily performance calculations such as PR values and energy yield analysis were performed manually, consuming significant staff time every day with a high risk of calculation errors. There was no alert or alarm system in place, meaning critical threshold breaches were only discovered during the next manual round. Weather conditions affecting energy production had no integration with performance data, making it impossible to distinguish weather-related dips from actual equipment faults. Management had no consolidated view of plant-wide performance at any point in time.

Build a real-time monitoring platform that continuously pulls live data from all inverters and MPPTs via the Modbus RTU protocol.
Install Modbus RTU to TCP/IP gateway converters at all devices to enable networked, remote data communication.
Develop an AI layer to monitor power quality, identify underperforming devices, and surface actionable fault insights.
Integrate live weather data into the dashboard for context-aware performance monitoring.
Implement a fully configurable alarm system with custom thresholds per parameter and per device.
Automate all daily performance calculations including PR values and energy yield analysis.
Provide a comprehensive reports section for historical analysis across any time frame.
We proposed Enlyra, a purpose-built solar monitoring platform combining real-time SCADA-style data collection with an intelligent AI layer designed specifically for solar energy operations. The solution addressed both the hardware and software layers: Modbus RTU to TCP/IP gateway converters would be deployed at each inverter and MPPT to bridge the gap between legacy device communication and a modern networked platform, while a high-performance backend service would handle continuous data ingestion at scale. On top of this data foundation, an AI model would deliver the kind of intelligent performance insights that no manual process could replicate.
Our team began with a full assessment of the client's solar plant layout and device inventory to plan the most efficient deployment of the protocol converter hardware. Once the gateway devices were in place, our backend team built a robust data polling service using NestJS, continuously pulling live readings from all inverters and MPPTs via the Modbus RTU protocol and persisting the data into a dual-database architecture using InfluxDB for high-frequency time-series data and PostgreSQL for structured operational data. Our frontend team developed the Enlyra dashboard using PrimeFaces, giving the client a clean, real-time view of their entire solar plant on a single screen. The dashboard integrates live weather data alongside energy readings, allowing operators to instantly understand whether a performance dip is weather-related or indicative of a deeper equipment issue. The AI layer is Enlyra's most powerful differentiator. Built on a custom AI model, it continuously analyzes incoming data to assess power quality across the plant, identify which inverters or MPPTs are underperforming or showing signs of fault, and surface actionable insights that allow the operations team to respond immediately. Calculations that previously took staff hours to complete manually, including daily PR values and energy yield analysis, are now computed and displayed by the platform automatically and continuously. The alarm system gives the client full configurability: thresholds can be set for any parameter on any device, and when a value crosses that threshold, the system immediately triggers an alarm and notifies the relevant team members, enabling a rapid response before issues escalate into significant energy losses or equipment failures.
“Enlyra has completely transformed how we run our solar plant. We used to spend a large part of every day walking the site and doing calculations by hand. Now everything we need is on one screen, the AI flags issues before they become serious problems, and our performance calculations are done for us automatically. The time and effort we have saved is remarkable.
— Plant Operations Manager, Enlyra Client
The deployment of Enlyra has fundamentally changed how the client manages their solar plant. The exhausting cycle of manual device checks, hand calculations, and reactive fault discovery has been completely replaced by an automated, intelligent platform that works continuously in the background. The operations team now has instant access to the full health and performance picture of their plant at any moment, with AI-driven insights guiding their decisions and a configurable alarm system ensuring no critical event goes unnoticed.
The automation of data collection and performance calculations has eliminated the majority of the daily manual workload, freeing the operations team to focus on higher-value tasks rather than field rounds and data entry.
Workers no longer need to visit inverters and MPPTs one by one to gather readings. All device data is collected automatically in real time and displayed on a single centralized dashboard.
The AI layer and configurable alarm system detect performance anomalies and threshold breaches the moment they occur, drastically reducing the window between a fault developing and the team being notified and responding.
Daily PR values, energy yield analysis, and other key metrics that previously required manual calculation are now computed and updated by the platform automatically, with zero risk of human error.
The custom AI model continuously monitors power quality and device performance across the entire plant, giving the client a level of analytical insight that was simply not possible with a manual approach.
Live weather data displayed alongside energy readings allows the team to instantly distinguish between weather-driven performance variations and genuine equipment faults, enabling smarter and faster operational decisions.
If your solar plant or industrial facility is still relying on manual monitoring, field inspections, or disconnected data systems, our team specializes in building custom AI-powered monitoring platforms that deliver real-time visibility and drive measurable operational efficiency. Let's talk about your unique challenges.