Development of an intelligent disaster information-integrated platform for radiation monitoring

Lin, Tang Huang; Liaw, Der Cherng

doi:10.1007/s11069-014-1565-x

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…By integrating the information of the affected areas collected by the IoT, drones, satellites, and other similar devices and by collecting victims' emotions and refuge needs from social media, the material allocation scheme and the priority of rescue tasks are determined. Road monitoring, radio frequency sensors, and other sensing terminals are used to monitor road status and crowd density to provide rescue teams with the most appropriate direction and path and to realise the efficient distribution of emergency resources [154].…”

Section: Responsementioning

confidence: 99%

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

Cheng

Hou

2023

Buildings

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Natural disasters can cause severe damages to civil infrastructure and lead to extensive economic losses and casualties. To improve the emergency response capability of civil infrastructure under extreme circumstances such as natural disasters and human-caused hazards, intelligent technology for infrastructure emergency management has been extensively studied. As an emerging paradigm of interdisciplinary convergence, digital twins (DTs) can integrate intelligent technology into different stages of emergency management and provide a new solution for the emergency management of civil infrastructure (EMCI). However, applications of DT in EMCI have several limitations and are mostly case by case. However, the sector needs more generalisable lessons to address the greater value of DT in the context of EMCI. To address this gap, we first carry out a systematic literature review and analyse the latest progress and previous research deficiencies of DT by taking the scientometrical approach. Next, a framework is proposed to explain how DT can be applied to the mitigation, preparation, response, and recovery stages of EMCI. Lastly, the trends and prospects of DT applications in EMCI are discussed. Overall, the knowledge gained from this study will promote the research and development of more-viable DTs to address the sector’s demand for emergency management.

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Section: Responsementioning

confidence: 99%

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

Cheng

Hou

2023

Buildings

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“…The long-term recording of data for radiation monitoring is cost-intensive. Using a smart sensor system to process data before the output is recorded decreases the level of data transmitted and the computing power that is required [94]. While the use of smart sensor systems reduces operational cost, it also provides a seamless data transfer for remote monitoring that aids decision making.…”

Section: Stationary Radiation Monitoringmentioning

confidence: 99%

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Ahmad

Rahim²,

Nordin

et al. 2021

Sensors

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As nuclear technology evolves, and continues to be used in various fields since its discovery less than a century ago, radiation safety has become a major concern to humans and the environment. Radiation monitoring plays a significant role in preventive radiological nuclear detection in nuclear facilities, hospitals, or in any activities associated with radioactive materials by acting as a tool to measure the risk of being exposed to radiation while reaping its benefit. Apart from in occupational settings, radiation monitoring is required in emergency responses to radiation incidents as well as outdoor radiation zones. Several radiation sensors have been developed, ranging from as simple as a Geiger-Muller counter to bulkier radiation systems such as the High Purity Germanium detector, with different functionality for use in different settings, but the inability to provide real-time data makes radiation monitoring activities less effective. The deployment of manned vehicles equipped with these radiation sensors reduces the scope of radiation monitoring operations significantly, but the safety of radiation monitoring operators is still compromised. Recently, the Internet of Things (IoT) technology has been introduced to the world and offered solutions to these limitations. This review elucidates a systematic understanding of the fundamental usage of the Internet of Drones for radiation monitoring purposes. The extension of essential functional blocks in IoT can be expanded across radiation monitoring industries, presenting several emerging research opportunities and challenges. This article offers a comprehensive review of the evolutionary application of IoT technology in nuclear and radiation monitoring. Finally, the security of the nuclear industry is discussed.

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“…The presented system aimed at casualty minimization, loss of property, and reduction of disaster‐effect on the ambient environment. In 2015, Lin and Law 8 developed the IoT‐based intelligent disaster information integrated platform for monitoring, managing, and handling emergencies after the disaster. IoT devices can be upgraded seamlessly in the presented framework even if the conditions of the site or specifications of the users change.…”

Section: Literature Surveymentioning

confidence: 99%

“…A natural disaster is an unfavorable event that results from natural means or earthly phenomena. To control natural events such as earthquakes, floods, and tsunamis, Poslad et al, 7 Li and Liaw, 8 and Vinothkumar et al 9 have developed effective models to generate early warnings for minimizing loss and crisis management. On the other hand, man‐made industrial disasters such as fire, oil spill, and gas leakage are the result of technological hazards, human negligence, and intentional ignorance.…”

Section: Introductionmentioning

confidence: 99%

Internet of things‐fog computing‐based framework for smart disaster management

Aljumah

Kaur

Bhatia

et al. 2020

Trans Emerging Tel Tech

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Smart building incorporates the ubiquitous sensing ability of Internet of things (IoT) technology with the industrial infrastructure for automating decision‐making. Inspired by this, a novel technique of stochastic game net (SGN) has been proposed to minimize the tangible and intangible infrastructural losses due to disasters. Specifically, IoT technology is used for disaster management and control in a smart building based on SGN. In the proposed technique, every IoT sensor act as an individual player with prefixed action sets and strategies. Complete SGN of the IoT network in the smart building is formalized by collaborating SGN of an individual sensor. The model deployed in IoT building with different sensors detects disasters beforehand and generates early warning alerts to management units based on game‐theoretic decision‐making. Experimental evaluation on four challenging datasets, namely, disaster/accident sources, gas sensor drift, red cross smoke alarm, and oil spills show the effectiveness of a proposed framework in the smart building. The results are compared with several state‐of‐the‐art decision‐making techniques to measure the overall effectiveness of the proposed system. Based on simulations performed on NetLogo 5.3.1, enhanced results of performance parameters including temporal delay, statistical efficiency, reliability, and stability were registered. Moreover, mathematical analysis has been carried out to determine the overall performance of the presented technique.

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Development of an intelligent disaster information-integrated platform for radiation monitoring

Cited by 15 publications

References 10 publications

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

A Review of Digital Twin Applications in Civil and Infrastructure Emergency Management

Ionizing Radiation Monitoring Technology at the Verge of Internet of Things

Internet of things‐fog computing‐based framework for smart disaster management

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