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ConMonity: An IoT-Enabled LoRa/LTE-M Platform for Multimodal, Real-Time Monitoring of Concrete Curing in Construction
Ivars Namatēvs1, Gatis Gaigals1, Kaspars Ozols1
1Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia.
This study introduces ConMonity, an IoT platform for real-time concrete curing monitoring. It uses LoRa sensors and LTE-M backhaul for automated, scalable, and cost-effective construction site assessments.
Area of Science:
- Civil Engineering
- Materials Science
- Internet of Things (IoT)
Background:
- Traditional concrete curing monitoring is labor-intensive, invasive, and inflexible.
- There is a need for automated, real-time systems to improve construction quality and efficiency.
Purpose of the Study:
- To develop an integrated IoT-enabled platform for automated, real-time concrete curing monitoring.
- To utilize LoRa-based sensor networks and LTE-M backhaul for efficient data transmission and cloud-based analytics.
Main Methods:
- Developed the ConMonity system with embedded multi-sensor nodes measuring strain, temperature, and humidity.
- Employed an energy-efficient, TDMA-based LoRa wireless protocol and an LTE-M gateway.
- Implemented a robust architecture with battery-powered nodes, adaptive firmware, and compact binary MQTT data transmission.
Main Results:
- ConMonity demonstrated stable, autonomous operation over multi-month field deployments across multiple sites.
- The system achieved superior scalability and automation compared to conventional and earlier wireless monitoring systems.
- Provided actionable real-time data and proactive alerts via a dedicated mobile application.
Conclusions:
- ConMonity offers a foundation for intelligent, scalable, and cost-effective concrete curing monitoring.
- The platform enables enhanced construction quality through automated, real-time data acquisition.
- Future work will focus on expanding sensor capabilities and improving resilience in diverse site conditions.
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