GasVisor: Smart IoT Solution for Gas Cylinder Monitoring
GasVisor, an IoT device on the nRF9160 platform, monitors gas cylinders in real-time, tracking weight, temperature, humidity, and CO2 with remote updates.
Designing: THE MACHINE’S
Unique Architecture
The design and development encapsulates following process
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Embedded System Architecture
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4 Different Sensors Integration
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Communication Modules Implemented
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RTC Wake & Duty Cycles
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Energy-efficient E-Ink display
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Two-point Factory Calibration
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Firmware Development Phase
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Secure Transmission & OTA Updates
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Remote Monitoring & Control
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Voltage Monitoring & Sleep Schedules
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Audible Alerts & Safety Features
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Rugged Chanical Design
Engineering Challenges:
How We Overcame Them?
Overcame design, power, and integration challenges with
innovative solutions and optimized engineering.
Power Optimization
Implemented deep sleep and RTC-based wakeup routines for extended battery life.
Network Connectivity
Adapted signal strength configurations dynamically for optimal LTE communication.
Accurate Measurement
Fine-tuned calibration routines and tare mechanisms to improve precision.
Menu Navigation Usability
Developed an intuitive button-based interface with timeout mechanisms to simplify user interaction.
Prototype Development
The GasVisor was meticulously developed to bring the conceptual design to life while ensuring practical functionality and performance.
Integration Phase
This phase ensured seamless communication between embedded firmware and sensors, validating accurate data acquisition. Connectivity tests for NB-IoT/CAT-M, GNSS, and MQTT were conducted to guarantee stable network performance and real-time cloud communication.
Testing Phase
Power consumption was analyzed by optimizing sleep cycles and RTC wake mechanisms for extended battery life. The user interface was tested for intuitive menu navigation, while security testing focused on encryption and authentication for secure OTA updates and data transmission.
Long-Term Results:
Client Benefits and Improvements
Further exploring new technologies to enhance performance and efficiency.
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Enhanced Sleep Modes – Further optimize power consumption with dynamic sleep scheduling.
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LoRaWAN Integration – Explore alternative connectivity options for remote areas.
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AI-Based Analytics – Implement predictive maintenance and gas usage trends using machine learning.
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Expanded Sensor Support – Offer customizable sensor configurations based on user needs.
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Improved Web Server Compatibility – Enhance firmware integration with updated client infrastructure.
What Our Clients Say About Us?
We take pride in our exceptional customer service and experiences that set us apart.