Advanced Design and Implementation of a CanSat for Environmental Monitoring and Data Transmission

This paper presents the design and implementation of a CanSat system for real-time environmental monitoring and data forecasting. The CanSat prototype is built using a custom 3D-printed enclosure housing sensor such as BME280, MPU6050, and NEO-M8N, interfaced with an Arduino Nano. Data transmission is enabled through NRF modules, with the ground station comprising an NRF receiver paired with an ESP8266 microcontroller. Upon reception, the ESP8266 publishes the sensor data to an MQTT broker and concurrently logs it into an Excel sheet, while forwarding structured JSON packets at 3-second intervals to a web-based frontend. Due to the NRF’s limited payload capacity, sensor readings are batched every 3 seconds, with each JSON packet representing 1-second inter- vals. The frontend, developed using Next.js, provides interactive dashboards for visualizing real-time data, 7-day forecasts using Meta’s Prophet model, and historical sensor readings based on user queries. This architecture demonstrates a robust, modular approach to environmental telemetry and predictive analytics using low-cost hardware and modern web technologies.

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Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-06-24
DOI
https://doi.org/10.47392/irjaem.2025.0360
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
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article

Advanced Design and Implementation of a CanSat for Environmental Monitoring and Data Transmission

S P Darshan, Chandrika J, Chandrababu Gowda, H Y Chandu et al.
International Research Journal on Advanced Engineering and Management (IRJAEM)
Energy Efficient Wireless Sensor Networks
article

Advanced Design and Implementation of a CanSat for Environmental Monitoring and Data Transmission

S P Darshan, Chandrika J, Chandrababu Gowda, H Y Chandu, K Darshan
article en

Abstract

This paper presents the design and implementation of a CanSat system for real-time environmental monitoring and data forecasting. The CanSat prototype is built using a custom 3D-printed enclosure housing sensor such as BME280, MPU6050, and NEO-M8N, interfaced with an Arduino Nano. Data transmission is enabled through NRF modules, with the ground station comprising an NRF receiver paired with an ESP8266 microcontroller. Upon reception, the ESP8266 publishes the sensor data to an MQTT broker and concurrently logs it into an Excel sheet, while forwarding structured JSON packets at 3-second intervals to a web-based frontend. Due to the NRF’s limited payload capacity, sensor readings are batched every 3 seconds, with each JSON packet representing 1-second inter- vals. The frontend, developed using Next.js, provides interactive dashboards for visualizing real-time data, 7-day forecasts using Meta’s Prophet model, and historical sensor readings based on user queries. This architecture demonstrates a robust, modular approach to environmental telemetry and predictive analytics using low-cost hardware and modern web technologies.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(06)
Shri Dharmasthala Manjunatheswara College of Ayurveda and Hospital (IN), Guide Dogs (GB)
Openalex Percentile: Top 84%
Energy Efficient Wireless Sensor Networks
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