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I will build your predictive maintenance monitoring system
Macalou
I build predictive maintenance monitoring systems for industrial and data center infrastructure — combining automation (n8n), real-time dashboards (Grafana), and database engineering (PostgreSQL) to d...
Informazioni su questo servizio
Still relying on manual checks or reactive maintenance when equipment fails?
I design and deploy complete predictive maintenance systems from data ingestion to real-time dashboards and automated alerts so failures get caught before they become costly downtime.
What you get:
Multi-source data ingestion (sensors, PLCs, existing platforms)
Real-time Grafana dashboards, built for your equipment and thresholds
ML-based anomaly detection, tuned to your operating conditions
Automated alerts (email/Telegram) the moment something looks off
Fully documented, dedicated infrastructure you own it at delivery
Why work with me:
7+ years of engineering experience in industrial automation and monitoring systems, including grid infrastructure and hybrid power systems at a national utility.
Before ordering, please send me: (1) your current process, (2) systems/sensors involved, (3) sample data and expected output, (4) alert thresholds and approximate scale.
This lets me confirm the right scope and timeline for your case.
Strumenti:
Docker
•
Altro
Framework:
Altro
Provider Cloud:
DigitalOcean
Linguaggio di programmazione:
JavaScript
•
Python
Expertise:
Installazione
•
Sviluppo
•
Configurazione
FAQ
What information do you need from me to get started?
I need details about your equipment types, the metrics you want to monitor (temperature, voltage, network, etc.), and access credentials to your infrastructure if you want live data integration. For a demo/portfolio-style dashboard, no access is needed.
Can this integrate with my existing infrastructure?
Yes. The stack (PostgreSQL, n8n, Grafana) is self-hosted and can integrate with MQTT, REST APIs, CSV imports, or OPC-UA depending on your equipment. I'll advise on the best ingestion method during our consultation.
