LVLogics Silo Monitoring Platform

LVLogics is a web-based platform for real-time silo level monitoring that collects and processes IoT sensor data from SiloSpi devices via Sigfox. Developed for an Irish company, it provides clear visibility into silo fill levels, material usage, and consumption trends, enabling industrial and agricultural users to monitor multiple silos, analyse data over time, and anticipate material runout to support operational planning and reduce downtime.

Sigfox IoT Integration & Sensor Data Ingestion

Direct integration with Sigfox to retrieve real-time telemetry from SiloSpi sensors. Enables reliable ingestion of silo-level data for continuous monitoring and downstream analysis.

Flexible Silo Configuration & Parameter Management

Configurable silo settings that reflect real-world conditions, including capacity and operational parameters. Allows users to adapt configurations as sites or materials change, without system rework.

Predictive Runout Calculations & Consumption Forecasting

Automated calculations that estimate material depletion based on sensor data and historical usage. Supports forward-looking planning and timely refill decisions.

Rule-Based Notifications & Alerts

A configurable alerting system using custom rules and grouped conditions to notify farmers and operational owners when critical silo events occur, such as rapid depletion, abnormal consumption, or potential malfunctions.

The challenge

Silo monitoring often depends on manual checks or disconnected systems that offer limited visibility into real-time stock levels and material usage. LVLogics needed a digital platform capable of reliably ingesting continuous IoT data and translating it into actionable insights for operational, non-technical users.

The core challenge was the development of robust predictive algorithms capable of handling highly variable real-world conditions. Although the sensor data was structured, its behaviour varied significantly across silos, materials, usage patterns, and operational contexts.

Building reliable runout predictions required extensive trial and error, iterative data processing, and continuous refinement of calculation models. Many scenarios could not be anticipated upfront and only emerged through real usage, requiring the platform to gradually expand the range of supported edge cases and adapt its logic step by step to cover an increasingly diverse set of real-life operational scenarios.

The solution

We designed and developed a web application that centralises silo data into a unified operational dashboard. The platform connects directly to SiloSpi sensors via Sigfox, processes incoming telemetry, and presents it through clear visualisations and configurable views.

The solution allows users to manage multiple silos, filter and analyse data in real time, and rely on predictive calculations to anticipate refill needs. The architecture was designed for scalability, security, and consistent performance in live operational environments.

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Silo Monitoring Platform for LVLogics

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