Project timeline
Embedded IoT Telemetry and Remote Monitoring Platform
An observable embedded system concept combining ESP32, Raspberry Pi, LoRa, sensor data and OTA workflows.
Main tools and layers
Project category and focus
Designed the embedded device logic, data model, web panel flow, alarm thresholds, upload behavior and reporting scenarios. Cont...
Used technologies
Technologies used in this project
Key technologies in this project are matched automatically from its technology list and category structure.
ESP32 Advanced
Arduino Advanced
Raspberry Pi Advanced
LoRa Intermediate
OTA Intermediate
MQTT Intermediate
Sensors Advanced
PlatformIO Intermediate
SQL Advanced
MySQL Advanced
Details
Project overview
This project is an edge IoT telemetry approach that does more than read sensor values. It manages device identity, timestamp, communication quality, failure state and measurement history as part of one observable system. ESP32 based nodes, LoRa communication, a Raspberry Pi gateway concept and a MySQL backed web panel were treated as connected parts of the same architecture. The goal was to combine real field needs such as low power operation, long range transfer, intermittent connectivity tolerance and admin side visibility.
System perspective: The project was considered not as a single technical output, but together with requirements, data flow, user interaction, failure scenarios, maintainability and future extensibility. This makes both the engineering decisions and software architecture choices easier to understand.
Implementation detail: The content was expanded to explain not only the technologies used, but also how the problem was approached, which layers were separated, how data and control flow were considered, and which competency the project represents inside the CV.
Portfolio depth: This record highlights not only the technologies used, but also how the requirement was decomposed, how data or control flow was considered, what output is presented to the user and how the project can be extended later. This turns the project card from a short showcase into a readable case study that explains engineering decisions.
Case Study
The technical story from problem to outcome
The core problem was collecting field data from different sensors while supporting long-range communication, intermittent connectivity and remote maintainability. The system needed to do more than read values; it also had to provide observable information about device state and failure scenarios.
The solution was structured as a modular architecture with ESP32 edge nodes, a LoRa communication layer, a Raspberry Pi gateway concept and a database-backed web monitoring layer. Each data packet was handled together with device identity, timestamp and sensor value.
Edge nodes read and package sensor data; the communication layer transfers it to the gateway; the gateway validates and preprocesses data before writing it into a MySQL-like data layer. The web panel presents last data time, device status, alarm thresholds and reportable historical records.
The resulting structure provides a maintainable and dashboard-ready IoT telemetry foundation that can be adapted to different sensor types. The project clearly demonstrates the need to design embedded, web and data layers together.
Architecture
Block-based system flow
Embedded Systems
Edge nodes read and package sensor data; the communication layer transfers it to the gateway; the gateway validates and preprocesses data before writing it into a MySQL-like data layer. The web panel presents last data time, device status, alarm thresholds and reportable historical records.
ESP32, Raspberry Pi, LoRa, Sensors, OTA, MySQL
The resulting structure provides a maintainable and dashboard-ready IoT telemetry foundation that can be adapted to different sensor types. The project clearly demonstrates the need to design embedded, web and data layers together.
Live showcase
Demo, output and visual story
The core problem was collecting field data from different sensors while supporting long-range communication, intermittent connectivity and remote maintainability. The system needed to do more than read values; it also had to provide observable information about device state and failure scenarios.
The resulting structure provides a maintainable and dashboard-ready IoT telemetry foundation that can be adapted to different sensor types. The project clearly demonstrates the need to design embedded, web and data layers together.
Edge nodes read and package sensor data; the communication layer transfers it to the gateway; the gateway validates and preprocesses data before writing it into a MySQL-like data layer. The web panel presents last data time, device status, alarm thresholds and reportable historical records.
The resulting structure provides a maintainable and dashboard-ready IoT telemetry foundation that can be adapted to different sensor types. The project clearly demonstrates the need to design embedded, web and data layers together.