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Mingchu Li
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Proceedings Papers
Proc. ASME. SMASIS2016, Volume 1: Multifunctional Materials; Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Structural Health Monitoring, V001T05A009, September 28–30, 2016
Paper No: SMASIS2016-9065
Abstract
Some of The Great Wall relics are destroyed or even disappeared. The existing studies relied on field surveys are costly and time consuming. So a new cloud monitoring system based on smart phones is proposed. The system, which consists of three modules, image acquisition, questionnaire and real-time location, can realize rapid acquisition of information. Firstly, using smart phones, some photos of the Great Wall can be obtained. Then, the typical integrity damage information and location information can be obtained, including structure crack, human-caused destruction, the vegetation growth, etc. Secondly, analyzing the typical integrity damage information, the evaluation results are obtained. Then, the Great Wall information in the form of questionnaire is posted on the Great Wall integrity monitoring system. Mobile phone users who logged in the system can upload photos, and fill in the questionnaires. Through taking pictures and filling in the questionnaires, the required information can be obtained.
Proceedings Papers
Proc. ASME. SMASIS2016, Volume 1: Multifunctional Materials; Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Structural Health Monitoring, V001T05A010, September 28–30, 2016
Paper No: SMASIS2016-9066
Abstract
An accurate cable force measurement is one of very important practical problems during construction period as well as during service period of cable stayed bridge. In the recent years, with the advances in smartphone technologies, it is possible to rapidly evaluate structural health status and postevent damage using ubiquitous smartphones. In this paper, a novel vision-based cable force measurement method using smartphone camera is proposed for the first time, which enable to estimate cable force by recognizing cable vibration using smartphone camera, and then cable model test is carried out to verify the feasibility of the proposed method. The comparison test between the smartphone application Orion-CC measuring cable force from smartphone built-in accelerometer and the proposed method is conducted on a laboratory scale cable model with different sampling rates. In the proposed method, the vibration responses of cable are obtained by monitoring displacements of a preprinted black circular target attached on the cable model using smartphone camera. The test results showed satisfactory agreements between two methods in both frequency domain and cable force value, demonstrating the feasibility of the proposed cable force measurement method and its advantages such as convenience, ease of operation, and speediness.
Proceedings Papers
Proc. ASME. SMASIS2016, Volume 1: Multifunctional Materials; Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Structural Health Monitoring, V001T05A013, September 28–30, 2016
Paper No: SMASIS2016-9094
Abstract
The ability of residents and professional emergency responders to exchange information during an emergency is necessary to provide a more efficient rescue following major disasters. Simultaneously, the quick seismic damage evaluation is significant to provide guidance for emergency response and rescue after disaster. However, traditional field investigation needs immense cost in money, manpower and time to accomplish house-to-house investigation, which results in an inefficient work. Towards this, an emergency communication and quick seismic damage investigation method based on smartphone is proposed and realized with the assistant of an application E-Explorer. First, in emergency communication module, the communication is available by using the multipeer connectivity technology even without external network, which can help to deliver important information for personal survival. Second, in damage investigation module, E-Explorer integrates the functions of questionnaire and picture collection for damage phenomenon recording and image acquisition. Last, a big data sharing platform is built, to provide guidance for rescue workers, and collect damage information for quick intensity evaluation.