scholarly journals RESEARCH ON KEY POINTS OF QUALITY INSPECTION OF AERIAL PHOTOGRAMMETRY RESULTS AND QUALITY IMPROVEMENT MEASURES

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 141-146
Author(s):  
Z. Tian ◽  
M. Li ◽  
L. Lv ◽  
J. Zhou
Keyword(s):  
Technological Development ◽  
Production Quality ◽  
Quality Data ◽  
Quality Level ◽  
Quality Inspection ◽  
Aerial Photogrammetry ◽  
Key Points ◽  
Improvement Measures ◽  
Inspection Work ◽  
Surveying And Mapping

Abstract. With the development of surveying and mapping geographic information technology, digital aerial photogrammetry technology has been widely developed and applied. Based on the research on the applicability of existing quality inspection standards, this paper has completed the analysis of the key points of the quality inspection of surveying and mapping aerial photography results on the current technological development level, and combined with the quality inspection work of related projects for many years, selecting 15 real cases in the industry from the technology, it completed the analysis of common quality problems in four aspects: flight quality, data quality, image quality, and accessory quality, and put forward relevant quality evaluation standards and suggestions for improving production quality. The research content of the article can provide a reference for the production and quality inspection of corresponding projects in the later period, and provide a basis for industry supervision and promote the improvement of the overall quality level of the industry.

scholarly journals Application-Oriented Description of the Quality of Electronic Components (ppm Concept)

1981 ◽  
Vol 9 (2) ◽  
pp. 153-156
Author(s):  
Wolfgang Junghans
Keyword(s):  
Production Quality ◽  
Quality Data ◽  
Quality Level ◽  
Electronic Components ◽  
Acceptable Quality ◽  
Sample Testing ◽  
New Interpretation ◽  
Definition Of ◽  
True Values

Traditionally the production quality of components is described by “acceptable quality levels” (AQL). Agreements, referring to this principle, determine the acceptance or refusal of batches that have been sample tested. An acceptable quality of level is interpreted as a tolerated limit. In reality true values of quality must be better. An AQL value cannot define a real quality level. Furthermore, increasing requirements for component quality lead to low figures for the permissible amount of faulty devices in batches, and the method of sample testing becomes insufficient.For these reasons it seems to be of major importance to establish a better standard for the definition of quality. The application oriented description of quality data offers a possible solution. A good exchange of experience between supplier and user, based on a close and quality loop, is necessary.For contractual purposes AQL values remain important, but their meaning needs a new interpretation.

scholarly journals RESEARCH ON QUALITY IMPROVEMENT OF GLOBELAND30 UPDATE DATA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1397-1401
Author(s):  
W. J. Xie ◽  
L. Zhang ◽  
H. P. Chen
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Integrated Services ◽  
Geographic Information ◽  
Information Resources ◽  
Quality Inspection ◽  
Data Format ◽  
Key Points ◽  
New Type ◽  
The Common

Abstract. GlobeLand30 update data is one of the important products of the Construction Maintenance and Update of Geographic Information Resources Project (hereinafter referred to as the Update Project). It provides important basic information for national geographical conditions monitoring, eco-environmental assessment and global geographic information integrated services. Different from the land cover classification data in National Geoinformation Surveying and Monitoring Project, GlobeLand30 update data is a completely new type of scientific research outcomes with new setup of resolution, its data format and data structure are newly set according to the requirements of the Update Project. Therefore, current inspecting methods are of limitations and incompatibility and cannot be firmly reasonable for inspecting the accuracy of GlobeLand30 update data. Combining with the practice of quality control for the Update Project, this paper proposes a set of methods and processes for the quality inspection of the GlobeLand30 update data. It also summarizes the key points of its inspection and analyses the common errors found in the actual inspection practice of the Update Project from 2017 to 2018. It can provide a certain technical reference for the quality control and quality improvement of GlobeLand30 update data in the Update Project.

scholarly journals THE APPLICATION OF QUALITY MANAGEMENT SYSTEM IN THE INSPECTION OF NATIONAL MAJOR SURVEYING AND MAPPING RESULTS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1307-1312
Author(s):  
C. X. Chen ◽  
J. X. Zhang ◽  
H. T. Zhao ◽  
Y. M. Xu ◽  
S. Yin
Keyword(s):  
Quality Management ◽  
Management System ◽  
Quality Management System ◽  
Quality Inspection ◽  
Machine Material ◽  
Government Decision ◽  
The Status ◽  
Cause And Effect Diagram ◽  
Surveying And Mapping

Abstract. Today's society has entered the era of big data, and the quality of surveying and mapping results has become the focus of government departments. As the statistical results of other industries, surveying and mapping results as one of the basic data sources provide data support for government decision-making, The status of surveying and mapping projects is constantly improving. This article introduces the ISO9001 quality management system implemented by the surveying and mapping production unit, the CMA quality management system implemented by the surveying and mapping quality inspection unit, and the first-level acceptance system for the two-level inspection of surveying and mapping products. Through the cause and effect diagram, taking the quality control of the fundamental geographical conditions monitoring of the national major surveying and mapping project as an example, the use method of the core tool 5M1E (Man, Machine, Material, Methods, Measurement, Environment) in the quality management system is demonstrated to prove that the quality management system plays an important role in the project. Provide reference experience for peers.

scholarly journals Using a Core Scientific Metadata Model in Large-Scale Facilities

2010 ◽  
Vol 5 (1) ◽  
pp. 106-118 ◽  
Author(s):  
Brian Matthews ◽  
Shoaib Sufi ◽  
Damian Flannery ◽  
Laurent Lerusse ◽  
Tom Griffin ◽  
...  
Keyword(s):  
Large Scale ◽  
Materials Science ◽  
Production Quality ◽  
Scientific Study ◽  
Quality Data ◽  
Structural Elements ◽  
Metadata Model ◽  
The Core ◽  
Future Developments ◽  
The Relationship

In this paper, we present the Core Scientific Metadata Model (CSMD), a model for the representation of scientific study metadata developed within the Science & Technology Facilities Council (STFC) to represent the data generated from scientific facilities. The model has been developed to allow management of and access to the data resources of the facilities in a uniform way, although we believe that the model has wider application, especially in areas of “structural science” such as chemistry, materials science and earth sciences. We give some motivations behind the development of the model, and an overview of its major structural elements, centred on the notion of a scientific study formed by a collection of specific investigations. We give some details of the model, with the description of each investigation associated with a particular experiment on a sample generating data, and the associated data holdings are then mapped to the investigation with the appropriate parameters. We then go on to discuss the instantiation of the metadata model within a production quality data management infrastructure, the Information CATalogue (ICAT), which has been developed within STFC for use in large-scale photon and neutron sources. Finally, we give an overview of the relationship between CSMD, and other initiatives, and give some directions for future developments.    

scholarly journals Deep Learning Framework for Steel Surface Defects Classification

2019 ◽  
Vol 4 (1) ◽  
pp. 25-32
Author(s):  
Ranganath Singari ◽  
Karun Singla ◽  
Gangesh Chawla
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Network Architecture ◽  
Steel Surface ◽  
Surface Defects ◽  
Fixed Number ◽  
Quality Level ◽  
Acceptance Sampling ◽  
Quality Inspection ◽  
Defects Classification

Deep learning has offered new avenues in the field of industrial management. Traditional methods of quality inspection such as Acceptance Sampling relies on a probabilistic measure derived from inspecting a sample of finished products. Evaluating a fixed number of products to derive the quality level for the complete batch is not a robust approach. Visual inspection solutions based on deep learning can be employed in the large manufacturing units to improve the quality inspection units for steel surface defect detection. This leads to optimization of the human capital due to reduction in manual intervention and turnaround time in the overall supply chain of the industry. Consequently, the sample size in the Acceptance sampling can be increased with minimal effort vis-à-vis an increase in the overall accuracy of the inspection. The learning curve of this work is supported by Convolutional Neural Network which has been used to extract feature representations from grayscale images to classify theinputs into six types of surface defects. The neural network architecture is compiled in Keras framework using Tensorflow backend with state of the art Adam RMS Prop with Nesterov Momentum (NADAM) optimizer. The proposed classification algorithm holds the potential to identify the dominant flaws in the manufacturing system responsible for leaking costs.

scholarly journals Map of the Mount Gongga Glacier: A Combination of Terrestrial and Aerial Photogrammetry

1986 ◽  
Vol 8 ◽  
pp. 34-36
Author(s):  
Chen Jianming
Keyword(s):  
Large Scale ◽  
Aerial Photographs ◽  
High Mountain ◽  
Survey Area ◽  
Mountain Glacier ◽  
Practical Result ◽  
Topographic Features ◽  
Aerial Photogrammetry ◽  
Set Up ◽  
Surveying And Mapping

For use in glaciological research, between 1982 and 1984, we succeeded in surveying and mapping the Mount Gongga Glacier, on a scale of 1:25 000, by means of a combination of terrestrial and aerial photogrammetry. This paper describes the method in detail. In the survey area, we set up an independent, triangulation network, with microwave distance measurement, and two, independent, straight-line traverses, for basic control. Control points were observed by intersection. The terrestrial, photogrammetric baselines were projected and corrected into distances on the. plane of the map. Terrestrial photography accounted for the majority of the photographs of the survey area. Surveying and mapping of planimetrie and topographic features were completed on a stereo-autograph, using plates mainly from terrestrial photogrammetry. Where these data were insufficient, they were supplemented by aerial photography, plotted on a photographic plotting instrument. Orientation points of the aerial photographs were established by terrestrial, photogrammetric analysis and located on the map by an optical, mechanical method. The practical result showed that a combination of terrestrial and aerial photogrammetry, in mapping a high, mountain, glacier area, on a large scale, is more feasible and flexible than other methods and more economical as well.

scholarly journals Determining the quality of continuous casting from billet caster

2019 ◽  
Vol 110 ◽  
pp. 01034
Author(s):  
Maria Androsenko ◽  
Ekaterina Kulikova ◽  
Nail Tyuteryakov ◽  
Elena Reshetnikova ◽  
Konstantin Pashenko ◽  
...  
Keyword(s):  
Continuous Casting ◽  
Statistical Methods ◽  
Production Quality ◽  
General Purpose ◽  
Quality Level ◽  
Data Recording ◽  
Calculation Data ◽  
Billet Caster

There are various methods and practical examples to determine and to evaluate the production quality level. They include measuring, sensory, calculation, data-recording, sociological and expert methods. Among the variety of general-purpose statistical methods, only seven of them are chosen, which are applied by different specialists. They allow timely detecting and showing the problems, revealing the main points to start with, and helping to distribute the efforts to effectively fulfill main tasks.

scholarly journals ANALYSIS ON PROCESS QUALITY CONTROL TECHNOLOGY OF GEOGRAPHICAL NATIONAL CONDITIONS MONITORING

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 805-809
Author(s):  
S. Yin ◽  
H. T. Zhao ◽  
C. X. Chen ◽  
B. Q. Yao ◽  
J. Zhou
Keyword(s):  
Quality Control ◽  
Influencing Factors ◽  
Process Quality ◽  
Control Technology ◽  
Quality Inspection ◽  
Practical Application ◽  
Monitoring Process ◽  
Key Points ◽  
Important Means

Abstract. The process quality inspection of geographic national conditions monitoring is an important means of quality control, and it is essential to improve the effectiveness of its role. Starting from the influencing factors and inspection methods of process quality control, the key points are designed and the content of process quality control is proposed. Based on this, combined with the practical application in the 2016–2020 geographic national conditions monitoring project, the problems existing in the geographic national conditions monitoring process are summarized and analysed.

scholarly journals Evaluation and optimization of ICOS atmosphere station data as part of the labeling process

2021 ◽  
Vol 14 (1) ◽  
pp. 89-116
Author(s):  
Camille Yver-Kwok ◽  
Carole Philippon ◽  
Peter Bergamaschi ◽  
Tobias Biermann ◽  
Francescopiero Calzolari ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Scientific Data ◽  
Quality Data ◽  
Observation System ◽  
Quality Level ◽  
High Quality Data ◽  
Site Water ◽  
Quantitative Results ◽  
Greenhouse Gas Budget

Abstract. The Integrated Carbon Observation System (ICOS) is a pan-European research infrastructure which provides harmonized and high-precision scientific data on the carbon cycle and the greenhouse gas budget. All stations have to undergo a rigorous assessment before being labeled, i.e., receiving approval to join the network. In this paper, we present the labeling process for the ICOS atmosphere network through the 23 stations that were labeled between November 2017 and November 2019. We describe the labeling steps, as well as the quality controls, used to verify that the ICOS data (CO2, CH4, CO and meteorological measurements) attain the expected quality level defined within ICOS. To ensure the quality of the greenhouse gas data, three to four calibration gases and two target gases are measured: one target two to three times a day, the other gases twice a month. The data are verified on a weekly basis, and tests on the station sampling lines are performed twice a year. From these high-quality data, we conclude that regular calibrations of the CO2, CH4 and CO analyzers used here (twice a month) are important in particular for carbon monoxide (CO) due to the analyzer's variability and that reducing the number of calibration injections (from four to three) in a calibration sequence is possible, saving gas and extending the calibration gas lifespan. We also show that currently, the on-site water vapor correction test does not deliver quantitative results possibly due to environmental factors. Thus the use of a drying system is strongly recommended. Finally, the mandatory regular intake line tests are shown to be useful in detecting artifacts and leaks, as shown here via three different examples at the stations.

scholarly journals Potential Risks and Their Analysis of the Apparel & Textile Industry in Turkey: A Quality-Oriented Sustainability Approach

2018 ◽  
Vol 26 (6(132)) ◽  
pp. 30-42 ◽  
Author(s):  
Ayşenur Erdil ◽  
Erturul Taçgın
Keyword(s):  
Manufacturing Process ◽  
Textile Industry ◽  
Manufacturing Systems ◽  
Failure Modes ◽  
Negative Impact ◽  
Production Quality ◽  
Research Quality ◽  
Quality Level ◽  
Sustainable Supply Chain ◽  
Industrial Sectors

The most significant issues in businesses within the scope of manufacturing and services are the sustainability of production quality, setting quality standards and reducing the waste amount during the manufacturing process. From this point of view, the aim of this study is to provide a better quality level of supplying households’ apparel needs while reducing the environmental, economic and social problems of the sustainable supply chain of the apparel sector and extending the lifecycle of apparel. The importance of risk analyses and calculations in the applications of industrial sectors plays a vital role in evaluating the factors of sustainability dimensions. In order to address this risk analysis in this research, quality-oriented implementations are applied to determine the failure modes and effect analysis (FMEA). The significant factors are determined via Pareto Analysis (PA) to control and prevent potential errors and failures in the manufacturing systems of the textile industry. To achieve the aim of this study, the methodology of the research focuses on discovering failures of negative impact based on the primary factor degrees with the computing of risk priority numbers (RPNs) in the manufacturing process of the textile-apparel industry in Turkey. According to the ranking of the RPNs, FMEA application and PA enable to decrease the effects of negative factors and risks as well as the waste amount of the apparel-textile industry, as well as to increase the lifecycle of apparel and products.

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