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Photometry Under the Condition of "Precision Rule"
Issue:
Volume 8, Issue 1, February 2020
Pages:
1-6
Received:
7 January 2020
Published:
26 February 2020
Abstract: Taking the determination of manganese in iron and steel as an example, it is proved that following the "precision rule", that is, “to maintain infection consistency of each factor for the each sample in the same measurement series”, the "content determination series" of photometry will present its "content absorption law": In the absorbance domain ,the coordinate points of all content and corresponding absorbance must be in the same straight line. Whether it's trace or high content, the connecting line of the coordinate points of the upper and lower limits of the two standard samples can be used as the "measuring line" of the sample content. The "two standard photometry" is established, which changes the traditional concept and presents the simple, high-speed and high efficiency nature of photometry. It is also the embodiment of normal distribution theory in photometry, so the measured values of samples are normal distribution. Systematic error and abnormal error (statistical outlier) are easy to find, which ensures the reliability of the measurement results. The uncertainty evaluation of the measurement results is simplified, the measurement model of the uncertainty is established, which is concise and practical, and realizes the unity with the allowable error; The new understanding also provides new ideas for the development of photometer: The measuring parts of the photometer shall conform to the "precision rule"; The filter beam has higher sensitivity and better reproducibility.
Abstract: Taking the determination of manganese in iron and steel as an example, it is proved that following the "precision rule", that is, “to maintain infection consistency of each factor for the each sample in the same measurement series”, the "content determination series" of photometry will present its "content absorption law": In the absorbance domain ...
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Study on Working Diagnosis of Rod Pumping Wells Based on Machine Learning
Peng Gao,
Xuefeng Jin,
Jieyu Du,
Yu Han,
Yanhui Zhu
Issue:
Volume 8, Issue 1, February 2020
Pages:
7-11
Received:
6 February 2020
Published:
17 April 2020
Abstract: The working condition diagnosis of pumping wells is an important basis for judging it's running condition. For a long time, indicator diagram is used to solve the wave equation by mathematical method to get the downhole pump indicator diagram which is obtained to judge and analyze the working condition of oil pumping equipment. In recent years, with the development of AI (artificial intelligence) technology, how to combine artificial intelligence technology with rod pumping wells lifting technology to provide a new way of thinking for pumping wells lifting and improve the intelligence level to achieve real-time control of the well has become a difficult problem in front of technicians. After several years of research, technicians in huabei oilfield innovatively proposed to establish working diagnosis model of pumping wells through machine learning neural network algorithm. The model can realize working diagnosis of oil well by using a large number of labeled indicator diagram and working diagnostic data as training samples. As long as the labeled data provided is of high accuracy and large amount, the accuracy of the model can reach more than 90%. The model is simple in structure, fast in operation speed, and has high application value in the field. Several rod pumping wells were randomly selected from a working area of huabei oilfield, and the above model was used to diagnose the working conditions. The results showed that the average error between the diagnosis results and the real ones was only 7%, less than 10% of the common requirements, which met the needs of engineering application.
Abstract: The working condition diagnosis of pumping wells is an important basis for judging it's running condition. For a long time, indicator diagram is used to solve the wave equation by mathematical method to get the downhole pump indicator diagram which is obtained to judge and analyze the working condition of oil pumping equipment. In recent years, wit...
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Finite Element Analysis and Parameter Influence of Non-developable Ruled Surface Impeller Blade in Flank Milling
Issue:
Volume 8, Issue 1, February 2020
Pages:
12-17
Received:
3 April 2020
Published:
19 May 2020
Abstract: Through the cutting simulation of titanium alloy impeller blade, the effect of the actual milling processing path on the elastic part deflection to of complicated thin-walled workpiece with low rigidity and high precision is studied. Use the principle of impeller modeling to model the spline of the impeller, and the spline curve of the impeller generated in MABLEB is imported into UG for digital modeling. The spline curve is used to generate the neutral surface, and the suction surface and pressure surface are obtained by the method of non-equidistant offset. The model of the non-stretchable straight surface blade is imported into ABAQUS for static simulation. Using MATLAB to fit the experimental data in the reference literature that fits the milling process range, the side milling experience formula is fitted. Calculate the equivalent milling force corresponding to different axial cutting depths, import into ABAQUS and use Python for secondary development. By simulating the milling process through the life-and-death element method, the local elastic deformation law of the milled thin-walled parts when multi-layer milling the impeller blades is explored. The influence of different machining paths on the deformation of the tool is studied. Simulation results show that the part deflection of workpiece can be reduced by rationally planning the machining path.
Abstract: Through the cutting simulation of titanium alloy impeller blade, the effect of the actual milling processing path on the elastic part deflection to of complicated thin-walled workpiece with low rigidity and high precision is studied. Use the principle of impeller modeling to model the spline of the impeller, and the spline curve of the impeller gen...
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Detection Method of Chest X-ray Lung Nodules Based on Improved YOLOV3 Model
Issue:
Volume 8, Issue 1, February 2020
Pages:
18-23
Received:
11 April 2020
Published:
19 May 2020
Abstract: Lung cancer is a kind of cancer with high lethality in the world, and the detection of lung nodules becomes particularly important in the early clinical manifestations of lung cancer. However, due to the characteristics of the small size of the lung nodules on the front of the chest and the obstruction of the ribs, it is more difficult to manually detect the lung nodules. At the same time, because of the explosive growth of lung X-ray images and diagnostic reports, the The application of deep learning technology to the identification of lung nodules has become an inevitable. In order to be able to detect lung nodules in real time, this paper is based on the YOLOV3 algorithm. In view of the characteristics of lung nodules imaging, such as small size and rib occlusion, a method that can be used Lung nodule detection algorithm (nodule-YOLOV3), the pre-processed lung nodule X-ray image is input to the nodule-YOLOV3 network to obtain the prediction results of lung nodules. The experimental results show that: nodule -YOLOV3 detection accuracy is 61%, compared with YOLOV3 target detection algorithm, the accuracy of nodule-YOLOV3 algorithm is improved by 3%.
Abstract: Lung cancer is a kind of cancer with high lethality in the world, and the detection of lung nodules becomes particularly important in the early clinical manifestations of lung cancer. However, due to the characteristics of the small size of the lung nodules on the front of the chest and the obstruction of the ribs, it is more difficult to manually ...
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Prognostic Analysis of Acute Pancreatitis with Fatty Liver
Issue:
Volume 8, Issue 1, February 2020
Pages:
24-26
Received:
4 March 2020
Published:
19 May 2020
Abstract: Objective: To investigate the effects of fatty liver on the progression and prognosis of acute pancreatitis. METHODS: 538 patients with acute pancreatitis admitted to our department from January 2014 to September 2018 were enrolled, including 210 patients with fatty liver disease and 328 patients without fatty liver. The two groups were retrospectively analyzed to analyze the disease of the two groups. There were no differences in progression, morbidity, and average hospitalization days. Results: 1. The proportion of patients with severe pancreatitis in the fatty liver group was higher than that in the non-fatty liver group (P<0.01). 2. The incidence of complications in the fatty liver group was higher than that in the non-fatty liver group (P<0.01). The average hospitalization period of the fatty liver group was longer than that of the non-fatty liver group (P<0.01). There was no clear correlation between the severity of fatty liver and the severity of pancreatitis (P>0.05). Conclusion: The prognosis of patients with acute pancreatitis complicated with fatty liver is worse than that of patients with simple pancreatitis. The incidence of complications is increased and the hospitalization period is prolonged. Fatty liver is a high risk factor for the progression and prognosis of acute pancreatitis.
Abstract: Objective: To investigate the effects of fatty liver on the progression and prognosis of acute pancreatitis. METHODS: 538 patients with acute pancreatitis admitted to our department from January 2014 to September 2018 were enrolled, including 210 patients with fatty liver disease and 328 patients without fatty liver. The two groups were retrospecti...
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