Industrial wireless sensor networks, data logging gateways, and predictive analytics.
Vaquant Technology provides state-of-the-art IoT Solutions — engineering services tailored to your specific industrial requirements. Industrial wireless sensor networks, data logging gateways, and predictive analytics.
Operational Capabilities
- Wireless telemetry nodes for motor vibration and temperature
- Industrial IoT gateways with local data buffers
- Cloud dashboards displaying real-time OEE metrics
- Machine learning anomaly models on physical vibration data
- Custom sensor integration (LoRaWAN, Zigbee, Cellular)
Industry 4.0 Standard Integration
All our IoT Solutions implementations follow high-availability architectural patterns. We integrate physical edge sensors and telemetry loops directly into centralized dashboards, allowing real-time monitoring and predictive maintenance analytics.
Deploying or Upgrading?
Connect with our engineering consulting team to draft detailed electrical schematics, technical feasibility reviews, and ROI projections.
What's Included
Industrial IoT (IIoT)
We connect your shop floor to the cloud, enabling data extraction from legacy machines and modern controllers alike. Our IIoT solutions provide the digital foundation for real-time visibility and operational optimization.
We install smart wireless telemetry nodes and edge gateways that collect data directly from machinery. Our hardware interfaces with Modbus, OPC-UA, and CAN bus networks to extract temperature, vibration, and current. This data is transmitted securely to cloud platforms for analysis, giving managers complete visibility over their floor operations.
Smart Monitoring Systems
We deploy smart sensor networks to monitor critical environment and process metrics, including temperature, vibration, humidity, and flow. The system alerts teams immediately when parameters drift.
Our central monitoring dashboard aggregates alerts from addressable temperature, humidity, and gas sensors. We configure real-time alert thresholds and push notifications (SMS/Email) to maintenance teams. This ensures prompt response to critical environmental shifts, protecting sensitive components and materials.
Remote Asset Monitoring
Our remote asset monitoring platform allows managers to track the location, health, and status of distributed equipment from anywhere. We use cellular, LoRaWAN, and satellite connectivity for reliable telemetry.
We deploy rugged, battery-powered tracking units on remote generators, pump stations, and mobile fleets. The system reports GPS coordinates, fuel levels, runtime hours, and battery health in real-time. All data is visualized on map interfaces and dashboards, simplifying logistics and preventive scheduling.
IoT Device Development
We design and prototype custom IoT sensor nodes, gateway devices, and edge processors. Our hardware is engineered for rugged industrial environments and optimized for low power consumption.
Our hardware team develops custom PCBs incorporating low-power microcontrollers, wireless radios, and sensor interfaces. We build robust enclosures rated for dust and water resistance, ensuring long-term field operation. Our custom firmware supports local data caching, encryption, and over-the-air (OTA) updates.
Cloud-Based IoT Platforms
We build secure, scalable cloud dashboards that aggregate IoT telemetry and present actionable insights. Our platforms feature interactive widgets, user access controls, and REST APIs for enterprise integration.
Our software stack handles millions of messages per day using high-performance queue systems and databases. We customize dashboards to display real-time telemetry, historical trends, and automated PDF compliance reports. All APIs are secured with industry-standard encryption protocols to protect data integrity.
Predictive Maintenance
We apply machine learning models to sensor data to detect early signs of mechanical wear, such as bearing misalignment or motor fatigue. This allows maintenance teams to fix issues before costly breakdowns occur.
Our platforms analyze high-frequency vibration and current signatures from critical motors. By modeling normal baseline operation, we detect subtle anomalies that precede mechanical failure. This shift from scheduled to condition-based maintenance prevents unplanned production stops and extends equipment lifespans.