Starting from the actual functional requirements of families, this paper mainly studies the inspection and realization of environmental indicators such as household temperature and humidity and combustible gas concentration in smart homes. The traditional smoke and temperature alarm system may have false positives in the face of factors such as smoke and temperature rise in daily life, and its stability is poor. In order to improve the accuracy of early warning of fire events, this paper designs an algorithm based on fuzzy reasoning and neural network reasoning, and uses multi-source information fusion technology to select CO, smoke concentration and temperature signals as the input signals of the system according to the characteristic phenomenon of fire. The controller uses an improved algorithm to process the collected data and output the fire probability to predict the fire.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Smart Home Security System and Algorithm Improvement


    Contributors:
    Zhu, Jiaran (author) / Zhang, Shengguo (author) / Ma, Chao (author) / Ma, Jiayu (author) / Hu, Jie (author) / Yu, Changxun (author)


    Publication date :

    2023-10-11


    Size :

    1531626 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Iot Based Smart Wireless Home Security Systems

    Sehgal, Kushank / Singh, Richa | IEEE | 2019


    Intelligent security trigger structure for smart home

    SUN YU | European Patent Office | 2021

    Free access

    Product-based security model for smart home appliances

    Pishva, D. / Takeda, K. | IEEE | 2008



    Automatic Service Request System for Security in Smart Home Using IoT

    Madupu, Pranav Kumar / Karthikeyan, B | IEEE | 2018