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Pfab K, Eichler R, Mallandur A, Rothering M. Data of automated optical inspection of surface-mounted technology electronic production. Data Brief 2024; 53:110110. [PMID: 38328301 PMCID: PMC10847760 DOI: 10.1016/j.dib.2024.110110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/05/2024] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
A popular soldering technique for printed circuit boards (PCB) is the so-called surface-mounted technology. After the soldering process an automated optical inspection (AOI) is the common method determining whether a PCB shall go to a manual inspection and rework station (MIS) or can directly go further to the next process step. Thereby, the AOI is a vision-based system deriving user defined physical measurements from a camera image. Based on these pre-defined measurements associated with static specification limits, the AOI labels each inspected soldering spot on a PCB as non-defect or defect. However, a large majority of PCBs are wrongly labelled defect, so-called false calls, causing a major manual labour effort at the MIS. This dataset contains a 132-days recording of PCBs going through the MIS labelled as true defect or false call with the physical measurement by the AOI. Furthermore, the dataset may contain various distribution drifts of unknown type that can be explained by the high sensitivity of electronic production to small external factors that may change unrecognized and additionally the dataset has an unknown percentage of label error due the human labelling process.
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Affiliation(s)
- Korbinian Pfab
- Department of Computer Science, Helsinki University, Finland
- Siemens AG, Erlangen, Germany
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Nie W, Jiang C, Sun N, Guo L, Liu Q, Liu C, Niu W. CFD-based simulation study of dust transport law and air age in tunnel under different ventilation methods. Environ Sci Pollut Res Int 2023; 30:114484-114500. [PMID: 37861825 DOI: 10.1007/s11356-023-30286-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023]
Abstract
To solve the problem of high-concentration dust pollution in a bored tunnel, we conducted a simulation study on the dust transport law and air age of the wind flow in a bored tunnel under different ventilation methods. Air age was innovatively introduced as an index for evaluating tunnel air quality. The results show that dust pollution is serious under conditions of press-in ventilation, which is unfavorable to personnel operations. Following the installation of an on-board dust-removal fan, an effective dust-control air curtain forms in the tunnel, and the high-concentration dust is essentially controlled within the range of Z = 13 m from the working face. The dust concentration in the working area on the left side of the tunnel is CD < 200 mg/m3, and the dust-control effect is obvious. At the same time, the air age on both sides of the tunnel is reduced by 35.5% following the use of the on-board dust-removal fan. Taking into account dust control by ventilation and dust removal by fan, spraying dust reduction measures are added, and we developed automated wind-mist synergistic wet high-frequency oscillation dust-capturing technology for tunnel boring. This could effectively improve the problem of high levels of coal dust pollution in tunnels.
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Affiliation(s)
- Wen Nie
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Chenwang Jiang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Ning Sun
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Lidian Guo
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China.
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Qiang Liu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Chengyi Liu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Wenjin Niu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Shandong Province, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
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Xu C, Nie W, Peng H, Zhang S. Numerical simulation study on atomization rule and dust removal effect of surface-active dust suppressants. Environ Sci Pollut Res Int 2023; 30:66730-66744. [PMID: 37186188 DOI: 10.1007/s11356-023-26712-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 03/25/2023] [Indexed: 05/17/2023]
Abstract
Spray dust reduction is a common dust control process in coal mines. However, the actual efficiency of spray dust reduction in a coal mine is low due to poor coal wettability. We select four surfactants that can greatly improve the surface activity of a dust suppressant solution. The wettability of the surfactant solution on coal dust is investigated in terms of two aspects: surface tension and contact angle. The effects of the type of surface-active dust suppressant and its concentration in the spray solution on the wetting of the coal dust and curing effects were analyzed. Numerical simulations were used to simulate spray atomization and to deduce how different types and concentrations of dust suppressant solutions affect the spray. The technical approach of the spray dust reduction method was further optimized by comprehensive analysis and numerical simulations, which could provide guidance for the application of spray dust reduction in coal mines.
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Affiliation(s)
- Changwei Xu
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Wen Nie
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
- State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China.
| | - Huitian Peng
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
| | - Shaobo Zhang
- College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
- State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
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Boubendir S, Arsenault J, Quessy S, Thibodeau A, Fravalo P, ThÉriault WP, Fournaise S, Gaucher ML. Salmonella Contamination of Broiler Chicken Carcasses at Critical Steps of the Slaughter Process and in the Environment of Two Slaughter Plants: Prevalence, Genetic Profiles, and Association with the Final Carcass Status. J Food Prot 2021; 84:321-332. [PMID: 33513257 DOI: 10.4315/jfp-20-250] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/01/2020] [Indexed: 12/15/2022]
Abstract
ABSTRACT Salmonella is a foodborne pathogen commonly associated with poultry products. The aims of this work were to (i) estimate the impact of critical steps of the slaughter process on Salmonella detection from broiler chicken carcasses in two commercial poultry slaughter plants in Quebec, Canada; (ii) investigate the presence of Salmonella in the slaughter plant environment; (iii) describe, using a high-resolution melting (HRM) approach, the HRM Salmonella profiles and serotypes present on carcasses and in the slaughter plant environment; and (iv) evaluate whether the HRM flock status after chilling could be predicted by the flock status at previous steps of the slaughter process, the status of previous flocks, or the status of the processing environment, for the same HRM profile. Eight visits were conducted in each slaughter plant over a 6-month period. In total, 379 carcass rinsates from 79 flocks were collected at five critical steps of the slaughter process. Environmental samples were also collected from seven critical sites in each slaughter plant. The bleeding step was the most contaminated, with >92% positive carcasses. A decrease of the contamination along the slaughtering process was noted, with carcasses sampled after dry-air chilling showing ≤2.5% Salmonella prevalence. The most frequently isolated serotypes were Salmonella Heidelberg, Kentucky, and Schwarzengrund. The detection of the Salmonella Heidelberg 1-1-1 HRM profile on carcasses after chilling was significantly associated with its detection at previous steps of the slaughter process and in previously slaughtered flocks from other farms during a same sampling day. Results highlight the importance of the chilling step in the control of Salmonella on broiler chicken carcasses and the need to further describe and compare the competitive advantage of Salmonella serotypes to survive processing. The current study also illustrates the usefulness of HRM typing in investigating Salmonella contamination along the slaughter process. HIGHLIGHTS
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Affiliation(s)
- Selmane Boubendir
- Research Chair in Meat Safety, Département de Pathologie et Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe, Québec, Canada J2S 2M2
| | - Julie Arsenault
- Swine and Poultry Infectious Diseases Research Center (CRIPA-FQRNT), Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, Quebec, Canada J2S 2M2.,ORCID: https://orcid.org/0000-0001-8382-7326 [J.A.]
| | - Sylvain Quessy
- Research Chair in Meat Safety, Département de Pathologie et Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe, Québec, Canada J2S 2M2
| | - Alexandre Thibodeau
- Research Chair in Meat Safety, Département de Pathologie et Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe, Québec, Canada J2S 2M2.,Swine and Poultry Infectious Diseases Research Center (CRIPA-FQRNT), Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, Quebec, Canada J2S 2M2
| | - Philippe Fravalo
- Pole Agroalimentaire du Cnam, Conservatoire National des Arts et Métiers, 22440 Ploufragan, France
| | - William P ThÉriault
- Research Chair in Meat Safety, Département de Pathologie et Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe, Québec, Canada J2S 2M2
| | - Sylvain Fournaise
- Olymel S.E.C./L.P., 2200 Avenue Léon-Pratte, St-Hyacinthe, Québec, Canada J2S 4B6
| | - Marie-Lou Gaucher
- Research Chair in Meat Safety, Département de Pathologie et Microbiologie, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 Sicotte, St-Hyacinthe, Québec, Canada J2S 2M2.,Swine and Poultry Infectious Diseases Research Center (CRIPA-FQRNT), Faculty of Veterinary Medicine, Université de Montréal, St. Hyacinthe, Quebec, Canada J2S 2M2.,https://orcid.org/0000-0003-4848-0202 [M.L.G.]
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