Application of Smart and Early Fire Detection Systems in Hospitals: Insights from Iraq

Abstract

Fires pose a significant threat to safety in healthcare facilities, and early detection of fires is crucial to ensure the safety of patients, staff and infrastructure. Smart systems utilize advanced technologies such as sensing, data analysis and effective monitoring to swiftly detect fires and take appropriate measures. This research examines the application of smart systems in the early detection of fire accidents in hospitals. In smart systems, the sensors collect data and send it to a central control unit that uses data analysis algorithms to analyze the information and detect any indications of a fire. In the event of abnormal changes or ignition, alarm devices are activated and relevant teams are immediately notified to take necessary actions, including patient evacuation if required. The system enhances the safety of patients and staff by providing timely alerts and evacuation guidance. Additionally, the use of data analysis enables predictive capabilities, allowing for the identification of fire-prone areas or equipment malfunctions and implementation of preventive measures. Thus, it plays a crucial role in ensuring the safety of patients, staff, and infrastructure. Through the use of sensor networks, data analysis, and real-time monitoring, these systems enable swift detection of fires and effective responses with evacuation measures. The integration of such systems enhances fire safety preparedness, reduces risks, and maintains the continuity of healthcare services in hospitals. The research employs a theoretical framework that includes several aspects. It begins by defining the search terms and then study the determinants related to security and fire safety in hospitals. It then identifies the latest fire alarm and extinguishing systems. It makes recommendations that will improve the performance of hospitals and prepare them to confront fire risks.