Design and Implementation of IoT‐Based Smart Disaster Recovery Solutions for School Buildings in Gombe LGA, Gombe State
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Background of the study
School buildings in Gombe LGA are vulnerable to natural disasters and unforeseen emergencies that can disrupt educational activities and compromise student safety. Traditional disaster recovery plans often lack real-time responsiveness and fail to integrate emerging technologies that could significantly enhance recovery efforts. IoT-based smart disaster recovery solutions offer a proactive approach by incorporating sensors, automated alert systems, and cloud-based data analytics to monitor building integrity and environmental conditions continuously (Suleiman, 2023). These systems can detect early signs of structural stress, fire, or flooding, and trigger immediate remedial actions or alerts to emergency responders. The integration of IoT devices with disaster management protocols provides an opportunity to minimize damage and ensure the rapid restoration of normalcy in school settings (Ibrahim, 2024).
By deploying IoT-based systems in school buildings, authorities can monitor critical parameters such as temperature fluctuations, humidity levels, and structural vibrations in real time. This continuous monitoring facilitates early intervention, reducing the risk of extensive damage and ensuring the safety of students and staff. The automated data collection and analysis also enable the formulation of predictive models that can forecast potential disaster events and optimize recovery strategies. Furthermore, the interconnected nature of these systems ensures that information is promptly communicated to relevant stakeholders, including school administrators and emergency services (Suleiman, 2023). Despite the clear benefits, challenges such as high installation costs, technical complexity, and the need for regular maintenance and updates pose significant barriers to the widespread adoption of IoT-based disaster recovery solutions in educational institutions. This study aims to design and implement a robust IoT-based framework tailored to the unique needs of school buildings in Gombe LGA, evaluating its effectiveness in enhancing disaster resilience and recovery efficiency.
Statement of the problem
School buildings in Gombe LGA face recurrent challenges in disaster preparedness and recovery due to outdated emergency response systems and a lack of real-time monitoring capabilities. Traditional disaster management practices rely on manual inspections and static protocols that are unable to provide the timely alerts necessary for effective intervention. As a result, incidents such as structural failures, fires, and floods often lead to prolonged school closures, safety hazards, and significant economic losses (Ibrahim, 2024). Moreover, the fragmented communication between various emergency response agencies exacerbates the inefficiencies in recovery efforts. The integration of IoT-based smart disaster recovery systems promises to address these issues by providing continuous monitoring and immediate alerts. However, the high costs associated with the installation and maintenance of advanced sensor networks, along with technical challenges in system integration and data interoperability, hinder the full-scale implementation of these solutions (Suleiman, 2023). Additionally, there is a notable gap in the training of school personnel and emergency responders on how to effectively operate and interpret data from these systems. This study seeks to investigate the current limitations in disaster recovery management within school buildings and assess how IoT-based solutions can bridge these gaps. By examining the technical, operational, and educational challenges, the research aims to develop a comprehensive disaster recovery framework that leverages IoT technology to enhance the resilience of school infrastructure and ensure the safety of students and staff (Ibrahim, 2024).
Objectives of the study
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To design a prototype IoT-based disaster recovery system for school buildings.
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To evaluate the system’s effectiveness in early disaster detection and response.
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To identify challenges and recommend strategies for system implementation and maintenance.
Research questions
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How can IoT technology improve disaster detection in school buildings?
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What are the operational challenges in implementing such systems?
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How can the system be optimized for rapid recovery during emergencies?
Significance of the study
This study is vital for enhancing disaster resilience in school buildings by integrating IoT-based solutions into emergency management protocols. The findings will guide policymakers and school administrators in developing proactive strategies for disaster recovery, ultimately safeguarding educational infrastructure and ensuring the continuity of learning (Suleiman, 2023; Ibrahim, 2024).
Scope and limitations of the study
The study is limited to IoT-based disaster recovery solutions for school buildings in Gombe LGA. Limitations include high installation costs and technical maintenance issues.
Definitions of terms
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IoT (Internet of Things): A network of interconnected devices that exchange data automatically.
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Disaster Recovery Solutions: Systems and protocols designed to restore normal operations following a disruptive event.
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Predictive Analytics: The use of data analysis to forecast potential events and trends.
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