Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design
This research presents a pioneering framework to augment fire safety management within edifices by amalgamating real-time surveillance and adaptive evacuation methodologies. The proposed framework markedly enhances the efficacy of fire detection and the efficiency of evacuation processes. In an empi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/8/1346 |
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| author | Usman Isah Abdullahi Wei Zhang Yidan Cao Georges Irankunda |
| author_facet | Usman Isah Abdullahi Wei Zhang Yidan Cao Georges Irankunda |
| author_sort | Usman Isah Abdullahi |
| collection | DOAJ |
| description | This research presents a pioneering framework to augment fire safety management within edifices by amalgamating real-time surveillance and adaptive evacuation methodologies. The proposed framework markedly enhances the efficacy of fire detection and the efficiency of evacuation processes. In an empirical investigation conducted on a 12-story residential structure in Wuhan, China, the implemented system achieved a 30% reduction in fire detection intervals and a 25% decrease in evacuation timeframes. The principal innovation of this framework resides in formulating an Improved Risk Index (ERI), which synthesizes real-time information garnered from environmental sensors, including temperature, smoke, and carbon monoxide concentrations, with architectural configurations and fire behavior to evaluate evacuation hazards. This system realized a detection accuracy rate of 95.2% and a 40% reduction in the necessity for manual inspections, surpassing the performance of conventional fire safety systems. The synthesis of real-time data with dynamic evacuation pathways enhanced emergency response times by equipping facility managers and emergency responders with instantaneous access to critical building intelligence. The framework complies with international and local fire safety regulations, ensuring its functional applicability across diverse types of buildings. This scholarly work offers a novel, scalable approach for improving fire safety management, potentially mitigating fire-induced damage and bolstering occupant safety within contemporary structures. |
| format | Article |
| id | doaj-art-b4df85dcfe0846129899844bac1bc722 |
| institution | DOAJ |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-b4df85dcfe0846129899844bac1bc7222025-08-20T03:14:18ZengMDPI AGBuildings2075-53092025-04-01158134610.3390/buildings15081346Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building DesignUsman Isah Abdullahi0Wei Zhang1Yidan Cao2Georges Irankunda3Department of Civil and Hydraulic Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, ChinaDepartment of Civil and Hydraulic Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, ChinaDepartment of Civil and Hydraulic Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, ChinaDepartment of Civil and Hydraulic Engineering, Huazhong University of Science and Technology (HUST), Wuhan 430074, ChinaThis research presents a pioneering framework to augment fire safety management within edifices by amalgamating real-time surveillance and adaptive evacuation methodologies. The proposed framework markedly enhances the efficacy of fire detection and the efficiency of evacuation processes. In an empirical investigation conducted on a 12-story residential structure in Wuhan, China, the implemented system achieved a 30% reduction in fire detection intervals and a 25% decrease in evacuation timeframes. The principal innovation of this framework resides in formulating an Improved Risk Index (ERI), which synthesizes real-time information garnered from environmental sensors, including temperature, smoke, and carbon monoxide concentrations, with architectural configurations and fire behavior to evaluate evacuation hazards. This system realized a detection accuracy rate of 95.2% and a 40% reduction in the necessity for manual inspections, surpassing the performance of conventional fire safety systems. The synthesis of real-time data with dynamic evacuation pathways enhanced emergency response times by equipping facility managers and emergency responders with instantaneous access to critical building intelligence. The framework complies with international and local fire safety regulations, ensuring its functional applicability across diverse types of buildings. This scholarly work offers a novel, scalable approach for improving fire safety management, potentially mitigating fire-induced damage and bolstering occupant safety within contemporary structures.https://www.mdpi.com/2075-5309/15/8/1346BIMIoTfire safetysystem thinkingfire dynamics simulationbuilding project |
| spellingShingle | Usman Isah Abdullahi Wei Zhang Yidan Cao Georges Irankunda Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design Buildings BIM IoT fire safety system thinking fire dynamics simulation building project |
| title | Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design |
| title_full | Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design |
| title_fullStr | Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design |
| title_full_unstemmed | Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design |
| title_short | Integrating IoT Technology for Fire Risk Monitoring and Assessment in Residential Building Design |
| title_sort | integrating iot technology for fire risk monitoring and assessment in residential building design |
| topic | BIM IoT fire safety system thinking fire dynamics simulation building project |
| url | https://www.mdpi.com/2075-5309/15/8/1346 |
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