Design Of Fire Detection System In Buildings Based On Wireless Multimedia Sensor Networks

• doi: 10.1109/WCICA.2014.7053208
• title: Design of fire detection system in buildings based on wireless multimedia sensor networks
• publisher: IEEE
• isbn: 978-1-4799-5825-2
• issn:
• rank: 2196
• access_type: LOCKED
• content_type: Conferences
• abstract: Wireless multimedia sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard of fire detection and prevention in buildings, fire images acquired by WMSNs provide visual information of fire, which contributes to a more accurate recognition. This paper presents a design scheme of early fire detection system in buildings based on WMSNs. We adopt the traditional fire detection sensors together with the CMOS image sensors, and process those data at the acquisition side, using DSP chips, instead of at the monitoring side, in which way less data need to be transferred through the wireless network. Thus, it makes a more reasonable and energy saving fire detection system. The traditional fire detection method used is to implement basic detection of suspicious fire area and a fire image detection method, based on the static image features and the dynamic image features of fire, is applied in the system to enhance detection precision.
• article_number: 7053208
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7053208
• html_url: https://ieeexplore.ieee.org/document/7053208/
• abstract_url: https://ieeexplore.ieee.org/document/7053208/
• publication_title: Proceeding of the 11th World Congress on Intelligent Control and Automation
• conference_location: Shenyang, China
• conference_dates: 29 June-4 July 2014
• publication_number: 7043694
• is_number: 7052676
• publication_year: 2014
• publication_date: 29 June-4 July 2014
• start_page: 3008
• end_page: 3012
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 585
• insert_date: 20150305
• index_terms:
  • ieee_terms:
    • Fires
    • Wireless sensor networks
    • Wireless communication
    • Monitoring
    • Data acquisition
    • Computers
    • Image sensors
  • author_terms:
    • WMSNs
    • fire detection
    • image processing
  • dynamic_index_terms:
    • Detection System
    • Sensor Networks
    • Building Systems
    • Fire Detection
    • Fire Detection System
    • Wireless Multimedia Sensor Networks
    • Image Features
    • Imaging Characteristics
    • Dynamic Characteristics
    • Dynamic Features
    • Wireless Networks
    • Image Sensor
    • Camera Sensor
    • Traditional Detection
    • Fire Area
    • Fire Prevention
    • Suspicious Areas
    • Data Processing
    • Digital Images
    • Data Transmission
    • System Reliability
    • Functional Unit
    • Temperature Sensor
    • Data Acquisition Module
    • End Devices
    • Wireless Sensor Networks
    • Acquisition Module
    • Modulation Of Processes
    • Types Of Nodes
    • Wireless Sensor
    • Real Fire
    • Image Processing Algorithms
    • Alarm System
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4799-5825-2, isbnType: New-2005
• authors:
  • Author Name: Xufeng Wei
    Affiliation: School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37088005629
    ID: 37088005629
    Order: 1
    Author Affiliations:
    • School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
  • Author Name: Yahui Wang
    Affiliation: School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087573025
    ID: 37087573025
    Order: 2
    Author Affiliations:
    • School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
  • Author Name: Yanliang Dong
    Affiliation: School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37087680805
    ID: 37087680805
    Order: 3
    Author Affiliations:
    • School of Electric and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

Image Sensor

• sensor_type: CMOS
• resolution: VGA
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: <20uA (sleep current)

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: Up to 30 frames per second
• power_consumption: Low power, specific value not mentioned

Applications & Benefits

• cell_imaging: Enables fire image detection in buildings
• benefits: Cost-effective, low-power operation suitable for battery-based applications.

Supporting Organizations

• supported_by: Texas Instruments (Chip Manufacturer)

Manuscript Details

• publication_date: 29 June-4 July 2014

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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