KEYWORDS: Humidity, Sensors, Power consumption, Education and training, Data transmission, Gas sensors, Environmental sensing, Environmental monitoring
Aiming at the demand for low-power monitoring in complex environments to ensure gas pipeline safety, this design focuses on a monitoring system for gas manhole covers. The system enables real-time monitoring of combustible gas concentration, temperature, and humidity emanating from the manholes. It uses a Narrowband IoT (NB-IoT) module to transmit data to an IoT platform via a base station, enabling data visualization on the application side. To counteract the effects of temperature and humidity changes on gas detection accuracy, a method using a Long Short-Term Memory (LSTM) network for temperature and humidity compensation is proposed. This network is trained to align measured values with actual values under varying conditions, leading to the construction of an effective error compensation model. Test results demonstrate the system's excellent low-power performance and measurement accuracy, and it has been successfully scaled up for wider applications.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.