System and method for detecting fire event in underground utility tunnels based on acoustics
AssigneeElectronics and Telecommunications Research Institute
InventorByung Jin LEE
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Abstract
Provided are a system and a method for detecting fire event in underground utility tunnels based on acoustics. The system is for early detection of fire situations in an underground facility based on sound. The system includes a sound acquisition device that is installed in the underground facility and collects acoustic signals in real time, and a fire situation early detection server that predicts occurrence of electric sparks and infers a fire risk based on the acoustic signal collected by the sound acquisition device.
Claims16
A system for early detection of fire situations in an underground facility based on sound, the system comprising:
- a sound acquisition device that is installed in the underground facility and collects acoustic signals in real time;
- and
- a fire situation early detection server that predicts occurrence of electric sparks and infers a fire risk based on the acoustic signal collected by the sound acquisition device,
- wherein the fire situation early detection server includes:
- an audio receiving unit configured to receive the acoustic signals collected from the sound acquisition device;
- a preprocessing unit configured to divide the received acoustic signals into a plurality of frames and obtain a spectrogram for each of the plurality of frames;
- a fire sound analysis unit configured to extract noise-removed data from the obtained spectrogram;
- a pre-fire situation detection unit configured to predict a probability of electric spark occurrence based on the extracted data;
- and
- a fire risk inference unit configured to infer the fire risk by combining the predicted probabilities of electric spark occurrence in each frame.
A method for early detection of fire situations in an underground facility based on sound, the method comprising:
- collecting, by at least one sound acquisition device installed in an underground facility, acoustic signals in real time, and transmitting the collected acoustic signals to a fire situation early detection server;
- dividing, by the fire situation early detection server, the received acoustic signals into a plurality of frames, and obtaining a spectrogram for each of the plurality of frames;
- extracting, by the fire situation early detection server, data from which noise has been removed from the spectrogram for each of the plurality of frames;
- predicting, by the fire situation early detection server, a probability of electric spark occurrence based on the extracted data;
- and
- inferring, by the fire situation early detection server, a fire risk by combining the predicted probabilities of electric spark occurrence in each frame.
Dependencies are inferred from the claim text.