Our project makes environmental measurements at the time of an earthquake. Our project measures when it detects seismic waves. Data is transferred to the cloud system with the router. Our project prepares the ground for scientific studies on the moment of earthquake. This project utilizes the WisBlock infrastructure, integrating a baseboard with a 6-axis accelerometer, an environmental sensor, and a seismic sensor, to transmit information related to a seismic event to a router. This transmitted data is subsequently analyzed to provide notifications regarding the earthquake. The structure housing the WisBlock module (featured in the video) is employed as a testbed to scientifically simulate the event. Atmospheric parameters in the structure’s vicinity are detected by the environmen…
Our project makes environmental measurements at the time of an earthquake. Our project measures when it detects seismic waves. Data is transferred to the cloud system with the router. Our project prepares the ground for scientific studies on the moment of earthquake. This project utilizes the WisBlock infrastructure, integrating a baseboard with a 6-axis accelerometer, an environmental sensor, and a seismic sensor, to transmit information related to a seismic event to a router. This transmitted data is subsequently analyzed to provide notifications regarding the earthquake. The structure housing the WisBlock module (featured in the video) is employed as a testbed to scientifically simulate the event. Atmospheric parameters in the structure’s vicinity are detected by the environmental sensor, recording anomalous changes that manifest during the seismic event. These observed changes are then generalized and correlated with data from seismic events across different regions. The resultant dataset is uploaded to a cloud-based system to facilitate its application in other research fields. Furthermore, this data is made accessible for utilization by other institutions and organizations. Within its scope, this project demonstrates the interactional dynamics of variables arising from natural disasters and highlights the synergistic advantages of their concurrent analysis.
Project Implementation Steps
1. Planning and Design
• Objective: To contribute to early warning systems by detecting environmental and
seismic changes during an earthquake.
• Problem Definition: Establishing a research infrastructure based on the hypothesis
that earthquakes can be associated not only with seismic data but also with atmospheric
changes.
• Functional Goals:
o Collect seismic and environmental data simultaneously.
o Wirelessly transmit this data to a router.
o Upload the data to a cloud platform for analysis and accessibility.
• Design Notes:
o The WisBlock module will integrate a 6-axis accelerometer, environmental sensor,
and seismic sensor.
o A structural model capable of simulating tremors will be used for testing.
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2. Building the Circuit
• Components Used:
• 1-) RAK19007 Base Board 2nd Gen
• 2-) RAK4631 Nordic Nrf52840 Core
• 3-) RAK12027 Omron D7S Earthquake Sensor
• 4-) RAK1906 BOSCH BME680 Environment Sensor
• 5-) RAK12033 IIM-42652 6-axis Accelerometer
• Connections:
o All modules are mounted onto the WisBlock Base Board in a modular fashion.
o Power is supplied via USB.
• Supporting Materials:
4o 🖼️ Circuit diagram (drawn with Fritzing or EasyEDA)
o 📸 Photos of the breadboard or assembled circuit
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3. Assembly and Mechanical Structure
• Prototype Structure:
o The WisBlock module is mounted onto a test structure capable of simulating seismic
activity.
o The structure is designed to allow sensors to detect vibrations and environmental
changes.
• Materials Used:
o 3D-printed module holders
o Acrylic sheets and screw fasteners
• Supporting Materials:
o 🖼️ 3D design files (STL or DXF format)
o 📸 Photos of each assembly stage
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4. Programming and Configuration
• Software Environment: Arduino IDE
• Programming Steps:
o Load sensor libraries
o Define LoRaWAN connection parameters
o Read sensor data and transmit in JSON format
• Key Code Snippets:
o Sensor calibration
o LoRa data transmission function
• Supporting Materials:
o 💻 Screenshots of code
5o 📟 Serial monitor outputs
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5. Testing and Validation
• Test Environment:
o Artificial tremor scenarios
o Various temperature, humidity, and pressure conditions
• Collected Data:
o Acceleration, temperature, humidity, pressure, and gas concentration
• Validation Method:
o Verified successful transmission of data to the cloud
o Analyzed correlation between anomalies and seismic events
• Supporting Materials:
o 📊 Graphs and data tables
o 📸 Field test photos
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6. Final Demonstration
• Final Prototype:
o Fully integrated and functional system
o Real-time data transmission and cloud integration completed
• Presentation Materials:
o 📸 Photos of the final prototype
o 🎥 Short video showing the system in operation