EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE-BASED EARLY FIRE DETECTION SYSTEMS
PDF

Keywords

artificial intelligence, fire safety, early fire detection, machine learning, smart sensors, video surveillance systems, emergency situations, fire monitoring.

How to Cite

Boboqulov Ozodbek. (2026). EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE-BASED EARLY FIRE DETECTION SYSTEMS. ILM-FAN VA INNOVATSION TADQIQOTLAR JURNALI, 1(7), 23-32. https://innopublication.com/index.php/jsirs/article/view/924

Abstract

This article analyzes the effectiveness of artificial intelligence-based early fire detection systems. It examines the capabilities and limitations of traditional fire alarm systems and highlights the advantages of using artificial intelligence to predict fire risks and detect fire outbreaks at an early stage. In addition, based on the experience of the United States, China, Japan, and South Korea, the practical outcomes of modern intelligent fire monitoring systems are analyzed. The research findings demonstrate that the use of artificial intelligence technologies plays a significant role in reducing the consequences of fires, saving human lives, and minimizing economic losses.

PDF

References

1. O‘zbekiston Respublikasining “Yong‘in xavfsizligi to‘g‘risida”gi Qonuni.

2. O‘zbekiston Respublikasi Favqulodda vaziyatlar vazirligi faoliyatiga oid me’yoriy-huquqiy hujjatlar.

3. Russell S., Norvig P. Artificial Intelligence: A Modern Approach. Pearson Education, 2021.

4. Li Z., Huang P., Xu T. Artificial Intelligence Applications in Smart Fire Prevention Systems: A Systematic Review. Safety Science, 2024.

5. Kim S., Lee J. IoT-enabled Smart Fire Monitoring System for Residential Environments. Sensors, 2021.

6. Wang X., Chen Y., Zhao L. Machine Learning Approaches for Fire Risk Assessment: A Comparative Study. Expert Systems with Applications, 2023.

7. Chen L., Zhang X., Liu Q. Internet of Things-based Fire Monitoring and Early Warning Framework for Residential Buildings. IEEE Access, 2023.

8. Zhang Y., Wang H., Liu J. Deep Learning-based Fire Detection and Recognition Using Convolutional Neural Networks. Fire Safety Journal, 2022.

9. National Fire Protection Association (NFPA). Electrical Fires Report. 2024.

10. International Electrotechnical Commission (IEC). Electrical Installations for Buildings: Safety Requirements. 2023.