Development and Application of Quality Control System for Highway Subgrade Construction

2019 ◽  
Vol 2 (5) ◽  
Author(s):  
Tong Wang

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Peng Wang

The most critical component of a wind power plant is the transmission line, which carries two key tasks – the transpor-tation and distribution of electricity. The transmission line is also responsible for the various substations, wind power stations to contact to its safe and smooth operation. As the competition order of wind power projects is more chaotic, the quality of the project cannot be supervised and controlled by the whole process. The quality control of the project is not up to standard, and the overall quality of the transmission line will be affected. This paper focuses on two aspects of the elaboration, one is the wind turbine transmission line project common quality problems; the other is how to build wind power plant transmission line quality assurance system.


2009 ◽  
Vol 26 (2) ◽  
pp. 395-402 ◽  
Author(s):  
Stephanie Guinehut ◽  
Christine Coatanoan ◽  
Anne-Lise Dhomps ◽  
Pierre-Yves Le Traon ◽  
Gilles Larnicol

Abstract Satellite altimeter measurements are used to check the quality of the Argo profiling floats time series. The method compares collocated sea level anomalies from altimeter measurements and dynamic height anomalies calculated from Argo temperature and salinity profiles for each Argo float time series. Different kinds of anomalies (sensor drift, bias, spikes, etc.) have been identified on some real-time but also delayed-mode Argo floats. About 4% of the floats should probably not be used until they are carefully checked and reprocessed by the principal investigators (PIs). The method appears to be very complementary to the existing quality control checks performed in real time or delayed mode. It could also be used to quantify the impact of the adjustments made in delayed mode on the pressure, temperature, and salinity fields.


2014 ◽  
Vol 71 (4) ◽  
Author(s):  
Yusup, A. ◽  
Othman, R. ◽  
Musliman, I. A. ◽  
Han, W. O.

The increasing use of real-time high precision Global Positioning System (GPS) methods has leads in raising number of Continuously Operating Reference Station (CORS) establishment. However, it is complicated to expect the disparity in the performance and status of the reference stations. Thus, a system for dealing with data quality control in order to supervise data streams in real-time has been proposed. This paper focuses on the number of existing approaches to review the quality of raw GPS observations and presents architecture for the development of a real time quality control system in Peninsular Malaysia.


2013 ◽  
Vol 321-324 ◽  
pp. 1863-1866
Author(s):  
Wei Feng Zhou ◽  
Wen Bin Xie

As the stability of quality of hot mixed asphalt mixture (including gradation, asphalt aggregate ratio, temperature, etc) is the premise of good pavement performance of asphalt pavement, it is regarded the key of ensuring service life and pavement performance of road to ensure the quality of hot mixed asphalt mixture. This research is oriented at developing real-time quality control & monitoring system of asphalt mixture further on the basis of the established quality control system of mixing plant. The functions and operating principles of the system are introduced in this article.


2014 ◽  
Vol 1030-1032 ◽  
pp. 1120-1122
Author(s):  
Peng Fei Li ◽  
Jing Hui Liu ◽  
De Xin Lei ◽  
Zhi Zhong Li

With the rapid development of our economy, also promotes the development of our country road. Though the road construction starts relatively late in our country, but its development is very quick. However, due to the technology is not very mature, and the road load is bigger, and the influence of climate and so on, makes appeared different degree of damage of asphalt pavement. So how to improve the quality of the road is also became a problem to be solved in engineering. This article mainly from the problems existing in the construction process, the influence of natural factors and human factors, analyses the reason of pavement damage, and how to detect damage of asphalt pavement.


2012 ◽  
Vol 468-471 ◽  
pp. 186-189
Author(s):  
Chen Cheng Weng ◽  
Hao Wu ◽  
Xiao Dong Liu ◽  
Zhao Yu Du ◽  
Lei Shi ◽  
...  

From the quality of foundation roller compaction perspective in large civil engineering, this paper integrated the high precision real-time position technology of GNSS and the spatial analysis function of GIS, constructed a foundation roller compaction quality monitoring system to realize the real-time monitoring of foundation roller compacted construction process, which can ensure the quality of this process . At the same time, based on expounding the rolling system structure and working principle, it is detailed introduce the system module and the key algorithms.


Author(s):  
N. Zarrinpanjeh ◽  
F. Dadrassjavan

Automatic car detection and recognition from aerial and satellite images is mostly practiced for the purpose of easy and fast traffic monitoring in cities and rural areas where direct approaches are proved to be costly and inefficient. Towards the goal of automatic car detection and in parallel with many other published solutions, in this paper, morphological operators and specifically Geodesic dilation are studied and applied on GeoEye-1 images to extract car items in accordance with available vector maps. The results of Geodesic dilation are then segmented and labeled to generate primitive car items to be introduced to a fuzzy decision making system, to be verified. The verification is performed inspecting major and minor axes of each region and the orientations of the cars with respect to the road direction. The proposed method is implemented and tested using GeoEye-1 pansharpen imagery. Generating the results it is observed that the proposed method is successful according to overall accuracy of 83%. It is also concluded that the results are sensitive to the quality of available vector map and to overcome the shortcomings of this method, it is recommended to consider spectral information in the process of hypothesis verification.


Author(s):  
Chengsen Wang ◽  
Kun Qu ◽  
Yizhe Ren ◽  
Lina Liu ◽  
Wei Wang

With the development of the times, people's economic level is improving, the urban construction is accelerated, the road, bridge and tunnel construction as the focus of the urban construction scale of construction projects and the construction quantity is also growing. Subsequently, people pay special attention to their quality problems. At the same time, there are many difficulties and technical problems waiting to be solved in the construction process. These difficulties and technical problems are the important factors influencing the quality of tunnel construction. Only strictly and comprehensively control it so that the roads, bridges and tunnels can be well and rapidly developed. Next, the paper will make a comprehensive analysis of the difficulties and technical countermeasures in the construction of road bridge tunnel.


Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1454
Author(s):  
Hanxi Li ◽  
Wenyu Zhu ◽  
Haiqiang Jin ◽  
Yong Ma

The conventional green screen keying method requires users’ interaction to guide the whole process and usually assumes a well-controlled illumination environment. In the era of “we-media”, millions of short videos are shared online every day, and most of them are produced by amateurs in relatively poor conditions. As a result, a fully automatic, real-time, and illumination-robust keying method would be very helpful and commercially promising in this era. In this paper, we propose a linear model guided by deep learning prediction to solve this problem. The simple, yet effective algorithm inherits the robustness of the deep-learning-based segmentation method, as well as the high matting quality of energy-minimization-based matting algorithms. Furthermore, thanks to the introduction of linear models, the proposed minimization problem is much less complex, and thus, real-time green screen keying is achieved. In the experiment, our algorithm achieved comparable keying performance to the manual keying software and deep-learning-based methods while beating other shallow matting algorithms in terms of accuracy. As for the matting speed and robustness, which are critical for a practical matting system, the proposed method significantly outperformed all the compared methods and showed superiority over all the off-the-self approaches.


Author(s):  
M. Dalle Mura ◽  
G. Dini

AbstractAssembly represents a fundamental step in manufacturing, being a time-consuming and costly process, on which the final quality of the product mostly depends. Augmented Reality (AR) may represent a key tool to assist workers during assembly, thanks to the possibility to provide the user of real-time instructions and information superimposed on the work environment. Many implementations have been developed by industries and academic institutions for both manual and collaborative assembly. Among the most remarkable examples of the last few years are applications in guidance of complex tasks, training of personnel, quality control and inspection. This keynote paper aims to provide a useful survey by reviewing recent applications of AR in assembly systems, describing potential advantages, as well as current limitations and future perspectives.


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