Multi-Sensor Building Fire Alarm System with Information Fusion Technology Based on D-S Evidence Theory

Multi-sensor and information fusion technology based on Dempster-Shafer evidence theory is applied in the system of a building fire alarm to realize early detecting and alarming. By using a multi-sensor to monitor the parameters of the fire process, such as light, smoke, temperature, gas and moisture, the range of fire monitoring in space and time is expanded compared with a single-sensor system. Then, the D-S evidence theory is applied to fuse the information from the multi-sensor with the specific fire model, and the fire alarm is more accurate and timely. The proposed method can avoid the failure of the monitoring data effectively, deal with the conflicting evidence from the multi-sensor robustly and improve the reliability of fire warning significantly.

• Publication year

  2014

• Venue

  Algorithms

• Publication date

  2014-10-14

• Fields of study

  Mathematics, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.3390/a7040523
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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