Industry: Manufacturing | Tech Stack: Golang · PostgreSQL · VueJS
Overview
In today’s rapidly evolving industrial landscape, real-time data is the new oil. Our team at DEIENAMI engineered a robust IoT-based Factory Data Collection System to help manufacturers unlock smarter operations, eliminate data blind spots, and drive intelligent automation.
Designed for both discrete and process manufacturing environments, this solution enables seamless, secure data acquisition from a wide array of machines—empowering plant managers and engineers with real-time visibility, predictive analytics, and full control over production metrics.
Client Challenge
The client, a mid-sized industrial manufacturer, faced the following challenges:
- Manual data entry from machines, often with delays or inaccuracies
- Lack of real-time insight into operational efficiency or downtime
- No centralized view of key metrics like temperature, energy use, or uptime
- Inability to implement predictive maintenance or reduce unplanned outages
Their goal was to automate data collection, integrate machine data with existing systems, and move toward an Industry 4.0 model.
Our Solution
We built a custom IoT data acquisition platform designed to digitize every relevant signal from the shop floor using:
Edge Devices & IoT Sensors
- Connected to legacy and modern industrial machines
- Captured data like:
- Temperature
- Pressure
- Machine uptime
- Cycle counts
- Energy consumption
Backend Architecture
- Built with Golang for high concurrency, minimal latency, and edge compatibility
- Data ingestion layer supports batching, streaming, and offline cache fallback
- Secure APIs and device-authentication mechanisms for trusted communication
- PostgreSQL for structured storage, with schema optimized for timeseries + alerts
Interactive Dashboard (VueJS)
- Real-time graphs and KPI summaries
- Customizable alerts for deviations or anomalies
- Historical data views for trend analysis
- Predictive maintenance indicators using threshold and frequency analysis
Enterprise Integration Ready
- Supports integration with ERP and MES platforms
- APIs for downstream business workflows (inventory, quality, procurement)
Results
After deploying the system, the client observed the following within 3 months:
- ✅ 95% reduction in manual data entry errors
- ✅ Real-time insight into over 200 machine parameters
- ✅ 15% improvement in OEE (Overall Equipment Effectiveness)
- ✅ Enabled proactive maintenance—downtime events reduced by 30%
- ✅ Enabled better demand planning by synchronizing with ERP
The factory is now on track to achieve full smart manufacturing transformation, with live dashboards in the control room and mobile interfaces for plant supervisors.
Why Our Tech Stack Was the Right Choice
- Golang: Chosen for its high concurrency, perfect for edge data ingestion and low-latency device communication
- PostgreSQL: Structured, scalable, and easy to query for time-series data and reporting
- VueJS: Clean UI for shop-floor usage and management dashboards, easy to maintain and customize
- Security: All data encrypted at rest and in transit; role-based access control; secure device onboarding
- Scalability: Built with horizontal scaling in mind—from 1 factory to 100+
Ongoing Support
We continue to support the client with:
- System monitoring and automated backups
- Monthly performance audits and dashboard customization
- Expansion of sensor integrations (vibration, load, humidity)
- Feature upgrades based on evolving shop-floor needs
Our engineering team collaborates closely to ensure the platform stays aligned with ISO 27001-compliant practices and future-ready enhancements like AI-based predictive maintenance and digital twins.
Conclusion
This project reflects DEIENAMI’s core strength: delivering real-world industrial IoT solutions that work at scale, integrate with existing systems, and drive tangible ROI. We help manufacturers move from reactive to predictive, from spreadsheets to insights—one data point at a time.
If you’re planning your smart factory journey or struggling with siloed machine data, talk to us. We’ll bring the tech, the team, and the roadmap.
Want to Transform Your Factory Floor?
Let’s talk about how we can engineer a custom IoT data platform for your operations.
📩 Contact us at hello@deienami.com or Visit deienami.com
