Elementor #101286
Conference at the University of Nantes on the Method and Techniques of an Intelligent way of Collecting Data in Civil Engineering using IoT
Recently in October at the Polytech Nantes in France, Dessap Loic one of our Seeed Studio’s Ranger had the privilege given by the GeM laboratory in the framework project of the CNRS #AI4EB led by Nantes University, University of Dschang-Cameroon and Centrale Nantes to present during the Conference: Artificial Intelligence Earth Buildings the Topic:
Methods and Techniques of an Intelligent Way to Collect Data in Civil Engineering using IoT, to explore innovative approaches for optimising Data gathering processes and the application of Artificial Intelligence,
He covered several key points, including:
- Sensor implementation, Sensor Data Collection and Transfer using various modes of communication, which are Wireless( Wifi, BLE, GSM, GPRS, 4G,5G, LoRaWan, LiFi etc) and wire(USB Serial, RG 45, RS4085, ADsl, Optical fibre, etc). We demonstrated how to define and choose an appropriate architecture, incorporating an IoT network from the LoRA Nodes (SenseCap Industrial sensors from Seeed Studio) to the SenseCap LoRa Gateway and Servers then to the end user (user interface).
- UseCase projects: I presented practical applications such as crack measurement, tracking and bridge vibration monitoring, highlighting how IoT can provide real-time insights for infrastructure management.
- AI-Driven Predictive Maintenance: I also showcased how artificial intelligence can be leveraged to predict and anticipate structural failures, optimize maintenance schedules, and enhance the longevity of civil engineering projects.
- IoT projects are done in Cameroon and France:
- In France, Caen: Neac Industry Setting up LoRaWan Network to collect sensor data and monitor an autonomous Navigation Electric shuffle Boat.*photo*
- In Cameroon, Douala: KandaWeather Launching of Weather balloon Radio-Sonde and installation of SenseCap Weather stations and Industrial Sensors to collect and provide decentralised weather data to predict the 12h rain forecasting to help farmers, Weather companies, and Air traffic controllers.
- In Cameroon, at the Enset University of Douala and Softpower.
- He performed a demo showcasing SenseCap industrial sensors and LoRa Gateway from Seeed Studio and TME Education Arduino board to measure and send environmental data over LoRaWan and visualise the data over the Internet through the Node-Red platform using MQTT protocol.
This experience has reinforced the significant potential that AI and IoT hold for transforming civil engineering and improving infrastructure resilience.
I am grateful to : Dr, Eng Aurelle Tchagna, Ndoumin Serge, MattKlaus, Dr Nabil issaadi, Stephanie Bonnet and Researchers from GeM laboratory, Inchtech Sarl,
Conclusion:
Nowadays there are many modules embedded with AI and IoT that facilitate data collection and turning it into action such as enhancing with rapidity the real-time prediction.
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