An Investigation of IoT-Based Smart Gas Leakage Detection in University Campuses in Dutse LGA, Jigawa State
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- NGN 5000
Background of the study:
Gas leakage incidents in university campuses pose significant safety risks and can lead to catastrophic consequences if not detected promptly. In Dutse LGA, Jigawa State, the increasing use of gas for cooking and heating in campus hostels and cafeterias has raised concerns about the effectiveness of traditional detection systems. Conventional gas detectors, which often rely on manual checks and periodic maintenance, are prone to delays and may not provide real-time alerts in critical situations. The investigation into IoT-based smart gas leakage detection systems offers a promising solution by integrating sensor networks, wireless communication, and automated alert mechanisms to monitor gas levels continuously (Ibrahim, 2023). These systems are equipped with advanced sensors that detect fluctuations in gas concentrations and immediately transmit data to centralized monitoring hubs. By leveraging real-time analytics and machine learning, the system can differentiate between normal gas emissions and hazardous leaks, thereby minimizing false alarms and ensuring prompt responses (Adeniyi, 2024). Additionally, the system’s ability to notify maintenance personnel and campus security in real time enhances emergency preparedness and mitigates risks associated with gas leaks. The deployment of such technologies aligns with global best practices in industrial safety and smart campus management, offering a scalable and cost-effective solution to enhance campus safety (Chukwu, 2025). Overall, integrating IoT-based gas leakage detection into campus safety protocols is essential for protecting lives and property while ensuring a proactive approach to risk management.
Statement of the problem:
University campuses in Dutse LGA are challenged by the limitations of conventional gas leakage detection methods that fail to provide real-time monitoring and rapid response capabilities. The reliance on manual inspections and outdated detectors often leads to delays in detecting gas leaks, resulting in heightened safety risks and potential property damage (Ogunleye, 2023). In many instances, the slow response time associated with traditional systems has contributed to severe accidents, endangering lives and disrupting campus activities. The absence of an automated alert mechanism further exacerbates the problem, as maintenance and emergency teams are not immediately informed of critical gas level fluctuations. Financial constraints and limited technical expertise in deploying modern detection technologies have hindered the adoption of advanced solutions. Without a robust, IoT-based gas leakage detection system, the campus remains vulnerable to undetected hazards, leading to increased operational risks and safety concerns (Ibrahim, 2024). Addressing these challenges is imperative to safeguard the campus community and enhance emergency response protocols. Implementing an automated, real-time monitoring system will not only improve detection accuracy but also reduce the response time, thereby mitigating the risks associated with gas leaks (Aminu, 2025).
Objectives of the study:
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To design an IoT-based system for real-time gas leakage detection on university campuses.
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To evaluate the system’s effectiveness in providing timely alerts and reducing safety risks.
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To recommend strategies for integrating the detection system with existing campus safety protocols.
Research questions:
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How effective is the IoT-based gas leakage detection system in identifying hazardous gas levels in real time?
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What improvements in response times and safety outcomes can be achieved with the system’s implementation?
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How can the system be integrated with current campus emergency protocols to enhance overall safety?
Significance of the study:
This study is significant as it investigates the potential of IoT-based gas leakage detection systems to enhance campus safety by providing real-time alerts and rapid responses. The findings will offer valuable insights for university administrators and safety officers, promoting proactive risk management and safeguarding lives and property on campus.
Scope and limitations of the study:
This study is limited to the investigation of IoT-based smart gas leakage detection systems in university campuses in Dutse LGA, Jigawa State. It does not extend to other types of hazard detection or regions.
Definitions of terms:
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IoT (Internet of Things): A network of interconnected devices that transmit real-time data.
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Gas Leakage Detection: The process of identifying and alerting about hazardous gas emissions.
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Smart System: A technology-enhanced system that uses sensors and automation for rapid response.
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