LoRa-Based Sensor Data Acquisition System

LoRa-Based Sensor Data Acquisition System - The Client's Smart City Success

Project Summary

When the client sought to enhance their smart city infrastructure, we delivered a LoRa-based Sensor Data Acquisition System to enable long-range, wireless data collection. The client needed a scalable solution to gather data from multiple sensor nodes across a city, transmitting it wirelessly to a master node and then to a remote server for real-time monitoring. Using LoRa technology, powered by the SX1262 module and STM32F4 MCU, we built a robust system capable of transmitting data up to 15km in line-of-sight conditions. This past project highlights our expertise in delivering innovative IoT solutions for smart city applications.

Solution We Delivered to the Client

We worked closely with the client to design and implement the LoRa-based system through comprehensive consulting, development, and integration services. Here’s what we built for the client:

  • System Architecture
    We designed a scalable architecture to collect data from multiple sensor nodes via LoRa, aggregate it at a master node, and transmit it to the client’s remote server using UDP packets.
  • Driver Development
    We developed optimized drivers for SPI and FMC interfaces, enabling seamless communication between the STM32F4 MCU, SX1262 LoRa module, and FPGA.
  • Custom Communication Protocol
    We implemented a tailored protocol for reliable data exchange between the LoRa master node and sensor nodes, ensuring robust performance.
  • UDP Protocol Implementation
    We enabled efficient, real-time data transmission from the master node to the client’s remote server using UDP.
  • Terminal-Based UI Application
    We created a user-friendly terminal interface to display UDP data, providing the client with real-time insights into sensor metrics.

Technology Stack

  • Hardware: STM32F4 MCU, SX1262 LoRa module, FPGA
  • Software Tools: STM32Cube IDE, Atollic True Studio
  • Communication Protocols: SPI, FMC, LoRa custom protocol, UDP

Outcome and Business Impact for the Client

  • Enhanced Efficiency: The client reduced manual data collection efforts by 85%, streamlining smart city operations.
  • High Reliability: The client’s system achieved 99.8% uptime for real-time data transmission, ensuring consistent monitoring.
  • Improved Decision-Making: The client gained access to real-time sensor data, enabling faster responses to urban challenges like traffic, air quality, or resource management.
  • Cost Savings: Automated data acquisition and remote monitoring minimized operational costs and reduced errors.
  • Future-Ready Solution: The client’s system was designed for scalability, supporting their vision for expanding smart city infrastructure.

Features the Client Benefited From

  • Long-Range Connectivity
    The client’s system leveraged LoRa’s 15km line-of-sight range for city-wide data collection.
  • Real-Time Data Transmission
    Sensor data was aggregated and sent to the client’s server instantly via UDP, ensuring timely insights.
  • Reliable Communication
    SPI and FMC drivers, along with a custom LoRa protocol, ensured robust data exchange across the client’s network.
  • User-Friendly Interface
    The client’s team accessed sensor data through an intuitive terminal-based UI, simplifying monitoring and analysis.
  • Scalable Design
    The client’s solution was built to support additional sensor nodes and future smart city integrations.

How We Engaged with the Client

    We partnered with the client through a consulting, development, and integration model, enhanced by team augmentation:

    • Consulting: We collaborated with the client to define their smart city requirements, design the system architecture, and select the optimal tech stack.
    • Development: Our embedded systems engineers developed custom drivers, the LoRa communication protocol, UDP integration, and the terminal-based UI.
    • Integration: We seamlessly integrated all components, conducting rigorous testing to ensure the client’s system performed reliably across diverse conditions.
    • Team Augmentation: We embedded our experts within the client’s team, accelerating development, providing ongoing support, and ensuring the client had the knowledge to maintain and scale the system.

    This collaborative approach delivered a solution perfectly aligned with the client’s smart city goals, with the flexibility to evolve.

    Conclusion

      The LoRa-based Sensor Data Acquisition System transformed how the client managed data across their smart city, delivering a secure, efficient, and scalable IoT solution. Our team augmentation model ensured we worked as an extension of the client’s team, driving their success. Building on this past achievement, we’re ready to partner with the client again to create their next smart city innovation!

      arrow Talk to us

      Crafting digital strategies that work