This article proposes an IoT-based automatic system for smart homes that is designed for early fire detection and prevention. The system is built on an Arduino Uno platform and continuously monitors the environment using an MQ-2 smoke sensor and a DHT11 temperature sensor. If smoke and temperature simultaneously reach a dangerous level, the system detects a fire condition and automatically activates a buzzer, a water pump, and an exhaust fan. This approach not only enables rapid fire detection but also reduces the number of false alarms. The article describes the system architecture, operating algorithm, mathematical model, and prototype design. Experimental results showed that the proposed two-sensor method is significantly more reliable and effective than a conventional single-sensor system. Therefore, this system can serve as a practical, low-cost, and efficient fire safety solution for smart homes.
| Mualliflar | Болбеков, М.А., Мирзокулов, Х.Б., Бурхонов, Д.Л., Хожиев, Д.М., Бозоров, З.З. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2026-08-02 |
| Jild | 9 |
| Son | 3 |
| Betlar | 117-124 |
| Til | Rus |
| DOI | 10.62132/ijdt.v9i3.408 |
DOI: 10.62132/ijdt.v9i3.408 · Maqolaning asl sahifasi
IoT, умный дом, обнаружение пожара, автоматическое тушение, Arduino Uno, датчик дыма, датчик температуры, пожарная безопасность, интеллектуальная система, вытяжной вентилятор, водяной насос, IoT, smart home, fire detection, automatic suppression, Arduino Uno, smoke sensor, temperature sensor, fire safety, smart system, exhaust fan, water pump
Maternal mortality in Uzbekistan remains marked by substantial regional heterogeneity: differences between the capital region and several peripheral areas reach three- to fourfold levels, highlighting the need for more…
This article analyzes the role of Big Data technologies and Data Mining methods in modern medicine, emphasizing their importance in diagnostics, treatment, disease prediction, and medical data management. It also…
The growing volume of big data in modern information technologies necessitates the development of efficient parallel algorithms in cloud computing environments. Existing systems such as Hadoop and Spark face challenges…
Trade discounts are among the fastest-acting profit levers available to a distributor of fast-moving consumer goods (FMCG). A distributor typically receives a limited discount budget from the manufacturer and must…
Pathological changes in optical coherence tomography (OCT) B-scan images complicate the automatic detection of retinal layer boundaries. This study proposes a sequential anatomical surface detection algorithm for…
This article investigates the identification of factors influencing the prediction of urbanization levels, using the Samarkand region as a case study. The study analyzed 131 indicators (spanning 2000–2024) encompassing…
This paper presents a comprehensive review of existing methods and approaches for Sound Event Detection (SED) in environmental acoustic monitoring. The theoretical foundations of SED, acoustic feature extraction…
Phishing remains one of the most persistent cybersecurity threats, and URLs are often the earliest observable indicator of an attack. Although existing phishing URL detection methods achieve high accuracy using lexical…
Cardiovascular diseases are one of the leading causes of death worldwide, and their early detection is one of the urgent tasks of modern medicine. In recent years, machine learning algorithms have been widely used to…
This article analyzes the medical diagnosis process from a data perspective and describes an approach to formally representing a mixed-type feature space describing a patient's condition. The formation of medical data…
Рақамли технологияларнинг назарий ва амалий масалалари — barcha maqolalar