Dam Deformation Monitoring and Data Analysis Based on Cloud Model

2012 ◽  
Vol 459 ◽  
pp. 479-482 ◽  
Author(s):  
Teng Jun Wang ◽  
Bo Yang ◽  
Hai Yan Yang
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Cloud Model ◽  
Scientific Data ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Monitoring Method ◽  
Reliable Monitoring ◽  
Dam Deformation

Dam deformation monitoring plays an important role in order to ensure the safety of dam operation, to improve project efficiency and the level of design and construction. Reliable monitoring method and scientific data analysis is the best protection for control the deformation law. Mathematical methods have been used to precisely quantitative analysis the deformation of the dam monitoring points. Usually, when assess the stability of deformation and evaluate the monitored data, qualitative languages are used to analyze qualitative result. The article combines cloud model with reliable monitoring data of Xiaolangdi to try to make qualitative analysis result quantitatively, and the quantitative analysis result can verify the qualitative analysis conclusion. It has realized the change between those two analyses. Also, utilize cloud model to analyzing deformation monitoring data is verified reliable.

scholarly journals Dam Deformation Monitoring Data Analysis Using Space-Time Kalman Filter

2016 ◽  
Vol 5 (12) ◽  
pp. 236 ◽  
Author(s):  
Wujiao Dai ◽  
Ning Liu ◽  
Rock Santerre ◽  
Jiabao Pan
Keyword(s):  
Kalman Filter ◽  
Data Analysis ◽  
Space Time ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Dam Deformation

Dam Deformation Monitoring and Data Analysis Based on Cloud Model

2012 ◽  
Vol 459 ◽  
pp. 479-482
Author(s):  
Teng Jun Wang ◽  
Bo Yang ◽  
Hai Yan Yang
Keyword(s):  
Data Analysis ◽  
Cloud Model ◽  
Deformation Monitoring ◽  
Dam Deformation

Ultrasonic Transceiver-Based Structural Deformation Monitoring with Location Ability

2014 ◽  
Vol 721 ◽  
pp. 442-445
Author(s):  
Wei Zheng ◽  
Chun Xian Wu ◽  
Rong Rong Cui
Keyword(s):  
Spatial Relations ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Structural Deformation ◽  
Monitoring Method ◽  
Regional Monitoring ◽  
Space Deformation ◽  
Structural Surface

Regional coverage monitoring for structural deformation remains a challenge for current technologies. A coverage regional monitoring method based on dual ultrasonic transceivers and exhibiting deformation location ability is presented. The spatial projecting model of dual ultrasonic beams is established to determine the monitoring scope of the structural surface in space. Deformation location principles are induced by analyzing the spatial relations of the monitoring data of dual ultrasonic transceivers. Finally, an experiment is proposed to illustrate the method.

Deformation Monitoring and Data Analysis for Metro Construction with Mining Method in Dalian

2013 ◽  
Vol 353-356 ◽  
pp. 1604-1608
Author(s):  
Guang Bin Bai ◽  
Jie Zhao ◽  
Li Sheng Liu
Keyword(s):  
Data Analysis ◽  
Construction Method ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Ground Subsidence ◽  
Tunnel Construction ◽  
Mining Method ◽  
Construction Process ◽  
Subway Tunnel ◽  
The Future

Based on a subway tunnel construction, the construction method was introduced. The ground subsidence, crown settlement and convergence displacement caused by the cut tunnel are monitored during the tunneling construction and the results of monitoring data for them are analyzed. This technology wells to guide the tunnel-entering construction effectively and avoid the tunnel-entering construction process prone to landslides, thus ensuring the safety of the tunnel construction and will guiding the future construction.

scholarly journals Peran Persepsi Politik Organisasi, Komitmen Afektif, Kepuasan Kerja dan Stres Kerja terhadap Keinginan untuk Keluar dengan Persepsi Dukungan Organisasi sebagai Moderator

2018 ◽  
Vol 27 (1) ◽  
pp. 32 ◽  
Author(s):  
Tri Hermawan ◽  
Fuad Mas'ud ◽  
Mirwan Surya Perdhana
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Work Stress ◽  
Organizational Support ◽  
Affective Commitment ◽  
Analysis Data ◽  
Drop Out ◽  
Dropping Out ◽  
Political Perception

This study aims at analyzing influences of political perception of organization, affective commitment, work satisfaction and work stress towards employee’s eagerness to drop out with a variable of moderation perception of endorsement of organization. This study was conducted at PT PQRS. Analysis method used in this study was mixed method with the explanatory sequential design.The number of the sample was 157 respondents for closed questionnaire and 3 participants for opened questionnaire. The questionnaire measurement was closed with scale 1-7. In quantitative analysis data analysis used was multipel regression analysis with moderating variable and  a help of SPSS 23 program. In qualitative analysis data analysis used was deskiptive analysis.In quantitative analysis of examination findings toward hypothesis, it is indicated that variable of political perception of organization positively affects an eagerness of dropping out, affective commitment affects an eagerness of dropping out negatively, work stress positively affects an eagerness of dropping out and perception of endorsement of organization can moderate correlation between affective commitment and work stress towards an eagerness to drop out yet not between  perception of endorsement of organization and work satisfaction towards employee’s eagerness to drop out.In qualitative analysis gives results that support the results of hypothesis testing where employees reveal the existence of political behavior and work stress is high enough accompanied by the level of affective commitment and job satisfaction which is low, so that it gives the impact on the high desire to get out of work. Other results indicate that organizational support can be perceived by employees so that moderation testing that is conducted get support that the desire to get out of work tends to decrease when they perceive organizational support at low levels of affective commitment and the employees’ desire to get out of work tends to decrease when they perceive organizational support at the high level of work stress.

Safety Monitoring Information System of Railway Tunnel Construction Based on GIS

2013 ◽  
Vol 303-306 ◽  
pp. 811-814 ◽  
Author(s):  
Ning Suo ◽  
Hui Lin Wang
Keyword(s):  
Data Analysis ◽  
Early Warning ◽  
Information Acquisition ◽  
Warning System ◽  
Safety Monitoring ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Tunnel Construction ◽  
Railway Tunnel ◽  
Engineering Information

This paper puts forward the railway tunnel construction based on GIS for deformation monitoring data analysis as the foundation of railway tunnel construction safety monitoring and risk early warning system. Practice shows that the system in engineering information acquisition, construction deformation data analysis, early warning and monitoring data has obvious advantages. And it is still in help users to make decisions and plays an important role to ensure the safety of tunnel construction.

The Determination of Deformation Monitoring Indices Using Lifting Wavelet and Multi-Component Cloud Model

2014 ◽  
Vol 556-562 ◽  
pp. 3001-3005 ◽  
Author(s):  
He Zhi Liu ◽  
Nan Ding ◽  
Dong Qin ◽  
Jing Yang Liu
Keyword(s):  
Cloud Model ◽  
Hot Spot ◽  
Deformation Monitoring ◽  
Time Dependent ◽  
Monitoring Data ◽  
Probability Method ◽  
Significance Level ◽  
Dependent Component ◽  
Lifting Wavelet

As one of the most significant indices to estimate dam behavior, the study of deformation monitoring indices has become a hot spot recently. In this paper, a method based on lifting wavelet and multi-component cloud model is proposed. For this method, the time dependent component which can evaluate the dam behavior is decomposed and reconstructed by lifting wavelet firstly. According to the time dependent component, those monitoring data which can reflect the present situation of dam could be chosen. After that, compute the deformation monitoring indices of each component based on the valid data through the multi-component cloud model. And then the deformation monitoring indices of dam as well as the certainty degrees could be acquired finally. The proposed approach is tested with cloud model based on the whole monitoring data and typical small probability method relies on 1% and 5% significance level respectively. Experimental results show that this proposed method yields an excellent performance in calculating the dam safety deformation monitoring indices, which could be utilized in actual projects.

scholarly journals A Fractal Prediction Method for Safety Monitoring Deformation of Core Rockfill Dams

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Liang Pei ◽  
Jiankang Chen ◽  
Jingren Zhou ◽  
Huibao Huang ◽  
Zhengjun Zhou ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Prediction Method ◽  
Safety Monitoring ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Dimension Theory ◽  
Deformation Prediction ◽  
The Core ◽  
Dam Deformation ◽  
And Control

Deformation mechanism in the core rockfill dams with heavy load and high-stress level is difficult to predict and control, which is one of the key problems to be solved in the dam operation safety management and control. Aiming at the large error problems obtained by the parameter-based functional models (regression model, grey theory model, etc.) in the deformation prediction of the core rockfill dams, a fractal prediction method and its technical process by combining the variable dimension fractal dimension and the "metabolism" of prediction data are proposed through analyzing the fractal adaptability and deformation characteristics of original monitoring data based on the resealed-range (R/S) method and fractal dimension theory. It effectively solves the error in the process of constant dimension fractal accumulation and transformation greatly in dam deformation prediction and provides a new way for dam safety monitoring deformation prediction and early warning. The trend analysis of deformation monitoring data of the Pubugou core rockfill dam and the deformation prediction show that the fractal prediction information of dam deformation has a good corresponding relationship with its physical causes, which is in line with the actual deformation trend and operation state of the dam. Compared with the traditional stepwise regression method, the prediction results obtained by the proposed method in this paper are of high accuracy, implying that the improved fractal prediction of dam deformation is effective and the Hurst fractal index is applicable in the evaluation of the dam deformation trend.

scholarly journals MENINGKATKAN KEMAMPUAN MENGENAL KONSEP POLA MELALUI MEDIA REALIA PADA ANAK USIA 4-5 TAHUN

2019 ◽  
Vol 7 (4) ◽  
pp. 451
Author(s):  
Ahma Nur Aisyah ◽  
Siti Wahyuningsih ◽  
Novita Eka Nurjanah
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Action Research ◽  
Data Collection ◽  
Qualitative Analysis ◽  
Real Life ◽  
Interactive Model ◽  
Classroom Action Research ◽  
Early Chilhood

<p><strong>ABSTRAK</strong></p><p>Penelitian ini bertujuan untuk meningkatkan kemampuan mengenal konsep pola melalui media realia. Jenis penelitian ini adalah penelitian tidakan kelas dilaksanakan selama dua siklus. Subjek dalam penelitian ini adalah anak usia 4-5 tahun dengan jumlah 12 anak yang terdiri dari 7 perempuan dan 5 laki-laki. Teknik pengumpulan data dalam penelitian ini menggunakan observasi, wawancara, tes, dan dokumentasi. Analisis data pada penelitian ini menggunakan analisis kuantitatif deskriptif komparatif dan analisis kualitatif model interaktif. Hasil penelitian ini menunjukkan bahwa melalui media realia, anak dapat menemukan pola ABC-ABC, melanjutkan pola AABB-AABB, meniru pola ABB-ABB, dan menyalin pola ABBB-ABBB. Hasil penelitian ini menunjukkan terdapat peningkatan pada kemampuan mengenal konsep pola melalui media realia, yaitu persentase ketuntasan pada pratindakan sebesar 41,67%, peningkatan kemampuan mengenal konsep pola pada siklus I sebesar 58,33 ditandai dengan anak yang sudah memperhatikan guru dan menyelesaikan tugas dengan media realia. Peningkatan pada siklus II sebesar 83,33%, anak dengan mudah menemukan benda yang hilang pada pola ABC-ABC. Kesimpulan dari penelitian ini adalah melalui media realia dapat meningkatkan kemampuan mengenal konsep pola pada anak usia 4-5 tahun. </p><p align="left"> </p><p><strong>Kata kunci: </strong>Konsep pola, media realia, anak usia 4-5 tahun</p><p align="left"> </p><p><strong>ABSTRACT</strong></p><p><em>This study aim</em><em>ed</em><em> to improve the ability to recognize the concept of patterns through </em><em>real life materials</em><em>. This type of research is classroom action research carried out for two cycles. Subjects in this study were children aged 4-5 years with a total of 12 children consisting of 7 girls and 5 boys. Data collection techniques in this study used observation, interviews, tests, and documentation. Data analysis in this study uses comparative descriptive quantitative analysis and interactive model qualitative analysis. The results of this study indicate that through </em><em>real life materials</em><em>, children can find ABC-ABC patterns, continue AABB-AABB patterns, imitate ABB-ABB patterns, and copy ABBB-ABBB patterns. The results of this study indicate there is an increase in the ability to recognize the concept of patterns through </em><em>real life materials</em><em>, namely the percentage of completeness in pre-action by 41.67%, an increase in the ability to recognize the concept of the pattern in the first cycle of 58.33 marked by children who have paid attention to the teacher and completed the task with the </em><em>real life materials</em><em>. Increased in the second cycle of 83.33%, children easily find missing </em><em>object</em><em> in the ABC-ABC pattern. The conclusion of this study is that through </em><em>real life materials</em><em> can improve the ability to recognize the concept of patterns in children aged 4-5 years.</em></p><p><em> </em></p><p><strong><em>Keywords: </em></strong><em>Concept of pattern, real life materials, early chilhood</em></p><p> </p>

scholarly journals A Completion Method for Missing Concrete Dam Deformation Monitoring Data Pieces

2021 ◽  
Vol 11 (1) ◽  
pp. 463
Author(s):  
Hao Gu ◽  
Tengfei Wang ◽  
Yantao Zhu ◽  
Cheng Wang ◽  
Dashan Yang ◽  
...  
Keyword(s):  
Missing Data ◽  
Back Propagation ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Concrete Dam ◽  
Human Errors ◽  
Data Completion ◽  
Deformation Behaviors ◽  
Dam Deformation ◽  
Deformation Patterns

A concrete dam is an important water-retaining hydraulic structure that stops or restricts the flow of water or underground streams. It can be regarded as a constantly changing complex system. The deformation of a concrete dam can reflect its operation behaviors most directly among all the effect quantities. However, due to the change of the external environment, the failure of monitoring instruments, and the existence of human errors, the obtained deformation monitoring data usually miss pieces, and sometimes the missing pieces are so critical that the remaining data fail to fully reflect the actual deformation patterns. In this paper, the composition, characteristics, and contamination of the concrete dam deformation monitoring information are analyzed. From the single-value missing data completion method based on the nonlocal average method, a multi-value missing data completion method using BP (back propagation) mapping of spatial adjacent points is proposed to improve the accuracy of analysis and pattern prediction of concrete dam deformation behaviors. A case study is performed to validate the proposed method.

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