Fire alarm systems construction on artificial intelligence principles

• Published in: E3S Web of Conferences Vol. 365; p. 4028
• Main Authors: Andreev, A., Doronin, A., Kachenkova, V., Norov, B., Mirkhasilova, Z.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 2023
• Subjects: Alarm systems; Artificial intelligence; Automatic control; Automation; Combinatorial analysis; Construction; Control systems; Fire alarm systems; Fire alarms; Mathematical models; Neural networks; Principles; Security systems; Signal generation
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/202336504028

Coverage of modern views on security trends and directions for developing security systems in the context of global automation and integration into unified automated control systems. An overview of the prospects for using artificial intelligence in security systems to identify difficult to classify situations using signs obtained from monitoring data. Assessment of the prospects for the use of fire alarm systems based on the principles of artificial intelligence based on neural networks (building on the principles of combinatorics of methods of neural networks and odd logic systems). Construction of a mathematical model that describes the process of generating a reliable formation of a signal about the transition of the system to the "fire" state and a description of the problem of correctly setting the system response threshold for signal generation, solving the problem of minimizing the number of false positives by introducing an additional channel that receives initial information about the state of the object in the optical range. Investigation of the reliability of the characteristics of gas fire detectors declared by the manufacturer to determine the possibility of using them as initial elements of fire alarm systems built on the principles of neural networks.