Integrated smart robot with earthquake early warning system for automated inspection and emergency response

Lin, Tang Huang; Jing, Huang; Putranto, Alan

doi:10.1007/s11069-021-04969-2

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…Bu sensörler arasında lazer tarama cihazları, kızılötesi kameralar ve termal görüntüleme sistemleri bulunur. Bu sensörler, robotların çevresindeki enkazda veya yapıda bulunan insanların konumunu tespit etmelerine yardımcı olabilir (Lin, Huang, ve Putranto, 2022;Matsuno vd., 2014;Murphy, 2014;Osumi, 2014).…”

Section: Deprem Anında Ve Sonrası Afet Yönetiminde Bilişlim Teknoloji...unclassified

Kahramanmaraş Merkezli Depremler Sonrası İçin Akademik Öneriler

2023

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Cumhuriyetimizin 100. Yılını coşkuyla kutlamaya hazırlanırken 06 Şubat 2023 tarihinde Kahramanmaraş Merkezli olarak meydana gelen depremler nedeniyle milyonlarca insanımız kahrolmuş, yüz binlerce vatandaşımız yaralanmış ve elli bini aşkın insanımız hayatını kaybetmiştir. Depremlerin ve artçıların yol açtığı yıkımlar, sebep olduğu travma ve imkanların yetersiz kalmasıyla sayısız çeşitlilikte mağduriyetler eş anlı olarak yaşanmış, enkaz altında kalanlar hayata tutunmaya çalışırken dışarda kalanlar yetersiz imkanlar ve kötü iklim koşullarıyla mücadele etmek zorunda kalmışlardır. İnsanlık tarihinin en büyük facialarından biri olan bu afette Anadolu şuuruyla fedakarca hareket eden insanımız elinden gelen bütün imkanları kardeşlerine ulaştırmak için canhıraş bir şekilde çalışmış ve bütün dünyaya örnek olacak bir dayanışma ruhunu ortaya koymuştur. Vatandaşlarımız, sivil toplum kuruluşları, devletimizin ilgili birimleri ve uluslararası kuruluşlar bir taraftan arama kurtarma faaliyetlerine girişirlerken diğer taraftan gıda, giyim ve barınma gibi alanlarda yardımları organize etmeye çalışmışlardır. Bu süreçte; depremlerin büyüklüğü, artçı depremlerin sıklığı, yıkılan bağımsız bölüm sayısının çokluğu ve iklim şartlarının elverişsiz olması gibi olumsuzluklar veri olmakla birlikte, yapılan yardımların daha iyi planlanmış olması ve daha etkin bir şekilde organize edilmiş olması gerektiği açık bir şekilde ortaya çıkmıştır. Bu kitap bu ihtiyacı gidermek üzere bir araya gelen akademisyenlerin, kendi uzmanlık alanlarındaki birikimlerini “Neler Yapılabilir” sorusuna ışık tutacak şekilde ortaya koymalarının sonucudur. Sosyal, ekonomik, psikolojik, teknik ve sağlık açısından bilimsel çalışmaları ve politika önerileri içermektedir.

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Section: Deprem Anında Ve Sonrası Afet Yönetiminde Bilişlim Teknoloji...unclassified

Kahramanmaraş Merkezli Depremler Sonrası İçin Akademik Öneriler

2023

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“…The first challenge for the robot used in a disastrous environment is path planning. The main obstacle for the robot to access the required area is the interference of uncontrollable road obstacles in the post-earthquake scenario (Lin et al, 2022 ). This involves planning a conflict-free path between the specified start and end positions.…”

Section: Introductionmentioning

confidence: 99%

“…It is a feasible method to plan a safe path for the robot in demanding environments with the help of RL so that robot can capture a view of the building from a suitable angle for evaluating building safety using photo processing algorithms. Additionally, robot-assisted inspection is widely used in structure monitoring (Oh et al, 2009 ; Murphy et al, 2011 ; Amhaz et al, 2016 ; Quintana et al, 2016 ; Peel et al, 2018 ; Cai and Mostofi, 2019 ; Yan et al, 2019 ; Lin et al, 2022 ). Although the background environment of these applications is simple, but they provide a feasible concept for the detection of buildings and their safety assessment under demanding environments.…”

Section: Introductionmentioning

confidence: 99%

Distributed Small-Step Path Planning and Detection Method for Post-earthquake Robot to Inspect and Evaluate Building Damage

Tang

Wang

et al. 2022

Front. Neurorobot.

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Post-earthquake robots can be used extensively to inspect and evaluate building damage for safety assessment. However, the surrounding environment and path for such robots are complex and unstable with unexpected obstacles. Thus, path planning for such robot is crucial to guarantee satisfactory inspection and evaluation while approaching the ideal position. To achieve this goal, we proposed a distributed small-step path planning method using modified reinforcement learning (MRL). Limited distance and 12 directions were gridly refined for the robot to move around. The small moving step ensures the path planning to be optimal in a neighboring safe region. The MRL updates the direction and adjusts the path to avoid unknown disturbances. After finding the best inspection angle, the camera on the robot can capture the picture clearly, thereby improving the detection capability. Furthermore, the corner point detection method of buildings was improved using the Harris algorithm to enhance the detection accuracy. An experimental simulation platform was established to verify the designed robot, path planning method, and overall detection performance. Based on the proposed evaluation index, the post-earthquake building damage was inspected with high accuracy of up to 98%, i.e., 20% higher than traditional unplanned detection. The proposed robot can be used to explore unknown environments, especially in hazardous conditions unsuitable for humans.

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“…Moreover, the integration of robots and the internet has the potential to be a significant breakthrough in this field. According to [35], a new integrated system named "robotevent" has been proposed, which is able to execute autonomous inspections and emergency responses to a severe event. The robot uses real-time image tracking to inspect the indoor environment and help any human victims found on the ground.…”

mentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a sustainable EEWS that is capable of providing early warning to people and coordinating disaster response efforts. To achieve this goal, we provide an overview of the fundamental concepts of seismic waves and associated signal processing. We then present a detailed discussion of the IoT-enabled EEWS, including the use of IoT networks to track the actions taken by various EEWS organizations and the cloud infrastructure to gather data, analyze it, and send alarms when necessary. Furthermore, we present a taxonomy of emerging EEWS approaches using IoT and cloud facilities, which includes the integration of advanced technologies such as machine learning (ML) algorithms, distributed computing, and edge computing. We also elaborate on a generic EEWS architecture that is sustainable and efficient and highlight the importance of considering sustainability in the design of such systems. Additionally, we discuss the role of drones in disaster management and their potential to enhance the effectiveness of EEWS. Furthermore, we provide a summary of the primary verification and validation methods required for the systems under consideration. In addition to the contributions mentioned above, this study also highlights the implications of using IoT and cloud infrastructure in early earthquake detection and disaster management. Our research design involved a comprehensive survey of the existing literature on early earthquake warning systems and the use of IoT and cloud infrastructure. We also conducted a thorough analysis of the taxonomy of emerging EEWS approaches using IoT and cloud facilities and the verification and validation methods required for such systems. Our findings suggest that the use of IoT and cloud infrastructure in early earthquake detection can significantly improve the speed and effectiveness of disaster response efforts, thereby saving lives and reducing the economic impact of earthquakes. Finally, we identify research gaps in this domain and suggest future directions toward achieving a sustainable EEWS. Overall, this study provides valuable insights into the use of IoT and cloud infrastructure in earthquake disaster early detection and emphasizes the importance of sustainability in designing such systems.

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Integrated smart robot with earthquake early warning system for automated inspection and emergency response

Abstract: Integrating earthquake early warning system and a smart robot for post-earthquake automated inspection and emergency response

Cited by 13 publications

References 18 publications

Kahramanmaraş Merkezli Depremler Sonrası İçin Akademik Öneriler

Kahramanmaraş Merkezli Depremler Sonrası İçin Akademik Öneriler

Distributed Small-Step Path Planning and Detection Method for Post-earthquake Robot to Inspect and Evaluate Building Damage

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

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