Industrial AI & RAG
RAG for Industrial Maintenance Knowledge: When to Use It
Design a maintenance knowledge assistant around approved documents, equipment context, permission-aware retrieval and human review.
Read the guideTHE SKYMICS BLOG
Practical intelligence.
Connected operations.
Explore AI, machine learning, IIoT and edge IoT through the decisions that matter: what to measure, how to connect it and when to act.
Agriculture · Mining · Smart City · Smart Energy · Smart Infrastructure
Implementation guides & ideas
Edge Machine Learning
Edge ML or Cloud Inference? A Practical IoT Decision Guide
Compare local and cloud model execution using response time, connectivity, data handling, hardware limits and the work needed to maintain it.
Read the guideSmart City
Planning a Smart City LoRaWAN Network for Useful Field Data
Plan environmental and utility monitoring around service needs, field surveys, message budgets and the people who will operate the network.
Read the guideMining
Predictive Maintenance in Mining: Start with Useful Telemetry
How to scope mining condition monitoring, select useful measurements and evaluate edge ML without mistaking every anomaly for a failure.
Read the guideIIoT & SCADA
Connecting IIoT Sensors to SCADA: A Practical Integration Plan
A practical route from field measurements to useful SCADA data, with read-only pilots, reliable tag mapping and clear control boundaries.
Read the guideEnvironmental Monitoring
Environmental Sensor Monitoring: Calibration, Drift and Trustworthy Alerts
Build confidence in environmental monitoring with a clear measurement purpose, calibration records, drift checks and careful review of unusual readings.
Read the guideSmart Infrastructure
HVAC Anomaly Detection: Turn Building Data into Useful Investigations
Plan HVAC monitoring around reliable points, operating context and reviewed alerts, with a practical checklist for testing building anomaly detection.
Read the guideHydroponics
Reliable Hydroponics Data: pH, EC and Responsible Machine Learning
Make hydroponics monitoring more trustworthy with calibrated pH and EC measurements, event records and AI that supports informed grower decisions.
Read the guideAgriculture
Planning a LoRaWAN Sensor Network for Smarter Irrigation
A practical deployment guide covering representative soil measurements, LoRaWAN coverage, gateway reliability and irrigation decisions with human oversight.
Read the guideSmart Energy
AI Energy Monitoring: Build a Baseline Before Raising Alerts
Learn how to turn energy readings into useful investigations with clean meter data, site-specific baselines and carefully evaluated anomaly alerts.
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