AI Air Ventilation Platform
I&T Solution |
AI Air Ventilation Platform
(REF: S-1799) |
Trial Project |
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Solution Feature |
- Leverage AI technology, integrate with IoT to real time monitor, analyze, predict and control air ventilation, automatically 24/7.
- Use IoT sensors to detect CO, SO2 and NO2 level, through LoRa to transmit real time data to an on-site server.
- The AI can be trained and control the fans for enhancing the ventilation in a smart and energy saving way
- Develop a dashboard for users to monitor the operation. Report can be generated for management review or ESG purpose.
- The dashboard will also prompt any sensor fault, as well as abnormal gas level in real time
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Trial Application and Expected Outcome |
- Install IoT sensors to detect the level of CO, SO2 and NO2 using LoRa. Set up an internet connected server to collect data of the sensors
- Integrate our server with the VSD fans of the Public Transport Interchange to control the speed and number of the fans.
- Building an AI to analyze the gas level pattern, according to the time, weather and emergency situation and control the fans
- Building a highly customizable dashboard which can real time monitor gas levels and prompt fault sensors or abnormal gas levels.
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Additional Solution Information |
AI Air Ventilation Platform_Public Transport Interchange.pdf
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Info on I&T Solution Provider |
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For details of the above I&T solution, please contact the I&T solution provider.