Simulation of Smartphone-Based Public Participation in Earthquake Structural Response Emergency Monitoring Using a Virtual Experiment and AI

Li, Huan; Chen, Xixian; Chen, Hongliang; Wang, Bowen; Li, Weijie; Liu, Shenglan; Qi, Zuoqiu; He, Zheng; Zhao, Xuefeng

doi:10.3390/buildings12040492

Cited by 7 publications

(7 citation statements)

References 25 publications

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“…Four studies propose methods : Kitazato et al [ 39 ] propose a method to detect real-time pedestrian flows which is believed to be crucial for disaster evacuation guidance. Li et al [ 40 ] suggest a method to simulate the post-earthquake evacuation and mobile crowdsensing-based monitoring of citizens under instructions from a central authority. Zabota and Kobal [ 41 ] discuss a new methodology for collecting data on past rockfall events through mobile application to enhance the quality of rockfall risk assessment.…”

Section: Resultsmentioning

confidence: 99%

“…The data are reported into the app by the crowd, so crowd as reporter can be noted as another sensor used in this work. Li et al [ 40 ] discusses structural health monitoring, i.e., regional building damage assessment, through mobile crowdsensing. An earthquake strike in a city is simulated in ’Unity’ simulation environment where ‘Ground Eye’ acts as the city brain to coordinate emergency response and assign tasks to citizens to collect data on damage assessment.…”

Section: Resultsmentioning

confidence: 99%

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Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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With the increasing efforts to utilize information and communication technologies (ICT) in disaster management, the massive amount of heterogeneous data that is generated through ubiquitous sensors paves the way for fast and informed decisions in the case of disasters. Utilization of the big “sensed” data leads to an effective and efficient management of disaster situations so as to prevent human and economic losses. The advancement of built-in sensing technologies in smart mobile devices enables crowdsourcing of sensed data, which is known as mobile crowdsensing (MCS). This systematic literature review investigates the use of mobile crowdsensing in disaster management on the basis of the built-in sensor types in smart mobile devices, disaster management categories, and the disaster management cycle phases (i.e., mitigation, preparedness, response, and recovery activities). Additionally, this work seeks to unveil the frameworks or models that can potentially guide disaster management authorities towards integrating crowd-sensed data with their existing decision-support systems. The vast majority of the existing studies are conceptual as they highlight a challenge in experimental testing of the disaster management solutions in real-life settings, and there is little emphasis on the use cases of crowdsensing through smartphone sensors in disaster incidents. In light of a thorough review, we provide and discuss future directions and open issues for mobile crowdsensing-aided disaster management.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Cicek

Kantarcı

2023

Sensors

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“…The evacuation speed of constructors is directly affected by the working faces with an emergency situation in the construction site [12,26,29]. VR equipment and the BIM model are considered valuable in most safety evacuation studies with easier alternatives to experiments [8,22,29,30,[39][40][41][42][43], and the author has confirmed that experiments with VR equipment and the BIM model are reasonable proxies of the evacuee's performance under emergency scenarios in the existing research [41]. The evacuation speed of constructors is tested by VR equipment and the frame-core tube building BIM model with twenty constructors, and the test is shown in Figure 4.…”

Section: Survey Research Of Construction Sitementioning

confidence: 99%

“…To minimize the high number of constructors' injuries and fatalities, numerous practices that range from behavioral to engineering safety approaches have been implemented in construction over the last few decades. High-risk factors in construction sites and optimal construction layout for evacuating are becoming emerging trends [29][30][31]. Constructors are a special group with a high-risk occupation, and their characteristics affecting a safety evacuation are worth studying in detail to improve safety performance in the construction industry.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Frame-Core Tube Building Construction Sites on Safety Evacuation

Yang

Yao

2023

Buildings

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FTBCS safety evacuation of frame-core tube buildings on construction sites (FTBCS) is one of the most challenging evacuation scenarios conceivable. This investigation proposes a practical calculation method and examines the parameters’ influence on safety evacuation in frame-core tube building construction sites. Firstly, the characteristics of constructors from 30 FTBCS in China are analyzed. After an investigation of 23,230 constructors, it was found that constructors have unique properties in gender ratio, age composition, and occupational age. Female constructors account for about 10%, and aged constructors account for 0.28%. Constructors within five years of occupational age account for about 26.39%. Evacuation speeds on different working faces including frames and core tubes are tested, and the decline coefficients of 0.80 and 0.70 are taken consideration into the evacuation model. Then, an exclusive evacuation time algorithm that is appropriate for FTBCS is proposed. Multiple parameters’ influence on safety evacuation is researched by numerical simulation. With a 5.0% growth of female gender ratio, aged constructors, and constructors within five years of occupational age, the average movement distance is increased by 10.32 m, 0.67 m, and 11.19 m, respectively. The age composition ratio and occupational age ratio mainly affect the evacuation process by evacuation speed and path programming, respectively, and the leading influencing factors are not distinct in their gender ratio effects. Optimization of construction layout can reduce the evacuation time from the horizontal direction plane effectively, and then relieve clustering and crowding on platforms.

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“…Zhao et al [28] proposed a new visual cable force measurement method based on smartphone cameras, and preliminarily verified its feasibility and practicability through cable model tests. Li et al [29] provided the possibility of crowd perception of all buildings in urban areas after the earthquake with smartphone-based monitoring technology. Ozer et al [30] introduced the concept of smartphone structural health monitoring and constructed a hybrid structure vibration response measurement framework by using multi-sensor smartphone functions.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method

Zhao

Fan

et al. 2022

Buildings

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The dynamic characteristics of existing wind turbine structures are usually monitored using contact sensors, which is not only expensive but also time-consuming and laborious to install. Recently, computer vision technology has developed rapidly, and monitoring methods based on cameras and UAVs (unmanned aerial vehicles) have been widely used. However, the high cost of UAVs and cameras make it difficult to widely use them. To address this problem, a target-free dynamic characteristic monitoring method for wind turbine structures using portable smartphone and optical flow method is proposed by combining optical flow method with robust corner feature extraction in ROI (region of interest). Firstly, the ROI region clipping technology is introduced after the structural vibration video shooting, and the threshold value is set in the ROI to obtain robust corner features. The sub-pixel displacement monitoring is realized by combining the optical flow method. Secondly, through three common smartphone shooting state to monitor the structural displacement, the method of high pass filtering combined with adaptive scaling factor is used to effectively eliminate the displacement drift caused by the two shooting states of standing and slightly walking, which can meet the requirements of structural dynamic characteristics monitoring. After that, the structural displacement is monitored by assembling the telephoto lens on the smartphone. The accuracy of displacement monitored by assembling the telephoto lens on the smartphone is investigated. Finally, the proposed monitoring method is verified by the shaking table test of the wind turbine structure. The results show that the optical flow method, combined with smartphones, can accurately identify the dynamic characteristics of the wind turbine structure, and the smartphone equipped with a telephoto lens is more conducive to achieving low-cost wind turbine structure dynamic characteristics monitoring. This research can provide a reference for evaluating the condition of wind turbine structures.

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Simulation of Smartphone-Based Public Participation in Earthquake Structural Response Emergency Monitoring Using a Virtual Experiment and AI

Cited by 7 publications

References 25 publications

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues

An Investigation of Frame-Core Tube Building Construction Sites on Safety Evacuation

Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method

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