Flow Measurement and Instrumentation最新文献

{"title":"Ensemble machine learning-based virtual multiphase flow metering in high gas/oil ratio and water-cut reservoirs","authors":"Wael A. Farag,&nbsp;Wael Hosny Fouad Aly","doi":"10.1016/j.flowmeasinst.2024.102737","DOIUrl":"10.1016/j.flowmeasinst.2024.102737","url":null,"abstract":"<div><div>By combining data-driven ensemble machine-learning algorithms and historical oil field portable test reports, this paper proposes a Data-Drive Multiphase Virtual Flow Meter (<em>DD-MVFM</em>) that estimates oil, gas, and water flow rates, provides real-time monitoring, and predicts future production for a 6-month period with appropriate accuracy. The proposed <em>DD-MVFM</em> utilizes the existing hardware used for measurements of basic variables such as temperature, and pressure at different locations at the well-head structure. The <em>DD-MVFM</em> can be employed in three ways. The first way is to be used as a verification tool for multiphase physical flow meters (MPFMs), making sure they are working properly and increasing confidence in the collected readings. The second way is to use the <em>DD-MVFM</em> as a redundant tool when the MPFMs are not available or going through maintenance. The third way, which is the main objective of our research, is to employ the proposed <em>DD-MVFM</em> as a stand-alone for the complete replacement of current and future MPFM installments. This, significantly lowers the operating cost, reducing the required portable field tests, and saving the need to build a major infrastructure for the set-up of MPFMs for new oil wells. Consequently, this contributes to the ambitious goal of reducing CO₂ emissions. The DD-MVFM's development involves the fusion of data wrangling and machine learning algorithms for optimal performance. Initial testing indicates an 85 % correlation with the actual production rates, with potential for further improvement as more field test data is incorporated, making it a pioneering solution in the field of oil and gas management.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102737"},"PeriodicalIF":2.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Character region extraction of wheel water meter based on object detection","authors":"Guanhua Zhu ,&nbsp;Qianhui Zhao ,&nbsp;Zeyu Zhang ,&nbsp;Quansi Huang ,&nbsp;Ming Cheng","doi":"10.1016/j.flowmeasinst.2024.102733","DOIUrl":"10.1016/j.flowmeasinst.2024.102733","url":null,"abstract":"<div><div>Currently, research on automatic meter reading mainly focuses on meter reading recognition, while neglecting the fundamental role of counter detection in the entire automatic meter reading system. In fact, only by accurately locating the counter area can the influence of dial factors be completely eliminated, thus ensuring the accuracy and reliability of subsequent water meter reading recognition. In view of this phenomenon, the focus of this study is on the counter detection stage. Firstly, a target detection-based image skew correction method is proposed to solve the problem of image skew caused by shooting angle and other reasons. This method ensures the accuracy of subsequent counter area positioning and the neatness of cutting effect. Secondly, a semi-supervised target detection training method is proposed to solve the problem of time and manpower costs required in large-scale data situations. In addition, we have made publicly available a dataset containing 1070 water meter images for non-commercial purposes, which can be obtained from the Github<span><span>¹</span></span>. Finally, we evaluated our model on three completely different datasets and compared it with the best positioning results of other models. The experimental results show that compared with other models, the proposed model in this paper has improved the positioning accuracy by 5.82%, 5.96%, and 9.20% on three datasets respectively. Furthermore, in the final visualization comparison, the model accurately identifies the counter region even when faced with complex real-world environments.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102733"},"PeriodicalIF":2.3,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The proposal and calculation method of the annular domain weight function for the electromagnetic flowmeter under annular conductivity distribution","authors":"Yang Yang ,&nbsp;Biaohu Yang ,&nbsp;Chao Zhang ,&nbsp;Bin Yang","doi":"10.1016/j.flowmeasinst.2024.102738","DOIUrl":"10.1016/j.flowmeasinst.2024.102738","url":null,"abstract":"<div><div>Researching on the characteristic of weight function distribution under non-uniform conductivity distribution is of significant importance for expanding the engineering applications of electromagnetic flowmeter. In this paper, the characteristic of weight function distribution is firstly explored for annular conductivity distribution where the center and outer ring are both conductive. The research results indicate an important finding that the average value of the weight function within any small annular domain of the center or outer ring remains constant as the radial position changes. Therefore, the concept of ‘annular domain weight function’ is then innovatively proposed. Furthermore, the relationship is studied between the ratio of the annular domain weight function of the center and outer ring and the annular feature parameters. Ultimately, the correlations are obtained for calculating the annular domain weight functions of the center and outer ring.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102738"},"PeriodicalIF":2.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on ultra-clean micro gas flow calibration technology of passive piston type with sealing","authors":"Hongming Yang,&nbsp;Ya Xu,&nbsp;Tong Liu,&nbsp;Tiejun Liu,&nbsp;Zhenwei Huang,&nbsp;Dailiang Xie","doi":"10.1016/j.flowmeasinst.2024.102735","DOIUrl":"10.1016/j.flowmeasinst.2024.102735","url":null,"abstract":"<div><div>Aiming at the portable measurement and calibration needs of ultra-clean micro gas flow meters in the semiconductor industry, this paper designs an ultra-clean micro gas flow standard device based on passive piston type with sealing. The device adopts a horizontal structure, using the O-ring on the piston for radial sealing, unlike the traditional mercury and gap sealing, this design avoids the stringent requirements for piston speed and clearance. To increase automation of the calibration process, an automatic calibration system is built. Mathematical modeling and 6DOF dynamic mesh analysis are used to ensure that the piston operates at a stable stage. Through the uncertainty analysis, the extended uncertainty of the device reaches 0.21 % (<em>k</em> = 2). The uncertainty was verified by normalizing the deviation <em>E</em>_n and the results show that it is feasible to trace the clean gas flow rate with the piston standard device.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102735"},"PeriodicalIF":2.3,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study of solid-liquid two-phase flow field in a centrifugal pump volute under multiple working conditions","authors":"Wei Pu ,&nbsp;Leilei Ji ,&nbsp;Wei Li ,&nbsp;Weidong Shi ,&nbsp;Yang Yang ,&nbsp;Haoming Li ,&nbsp;Xing Zhang","doi":"10.1016/j.flowmeasinst.2024.102739","DOIUrl":"10.1016/j.flowmeasinst.2024.102739","url":null,"abstract":"<div><div>In order to study the variation law of the solid-liquid two-phase flow field in the volute of centrifugal pump and the distribution law of the solid particles in the volute, based on PIV technology, the dynamic and static interference flow field of the volute under different flow conditions (30 m³/h, 40 m³/h, 50 m³/h, 60 m³/h, 70 m³/h) and different solid phase volume fractions (1 %, 1.5 %, 2 %) is studied. It is found that with the increase of the solid phase volume fraction, the head and efficiency of the centrifugal pump gradually decrease, and the addition of the solid phase has little effect on the pump head when the solid phase volume fraction is small under the condition of the large flow. The high turbulent kinetic energy area in the volute is mainly concentrated near the outer wall of the volute and the area where the tongue is located. Under the same solid phase volume fraction, the turbulent kinetic energy in the volute increases with the increase of the flow rate. The turbulent kinetic energy in the volute decreases with the increase of the solid phase volume fraction. The absolute velocity component of the flow field in the volute is significantly affected by the flow condition.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102739"},"PeriodicalIF":2.3,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing discharge prediction over Type-A piano key weirs: An innovative machine learning approach","authors":"Weiming Tian ,&nbsp;Haytham F. Isleem ,&nbsp;Abdelrahman Kamal Hamed ,&nbsp;Mohamed Kamel Elshaarawy","doi":"10.1016/j.flowmeasinst.2024.102732","DOIUrl":"10.1016/j.flowmeasinst.2024.102732","url":null,"abstract":"<div><div>Piano key weirs (PKWs) are an increasingly popular hydraulic structure due to their higher discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is essential for appropriate design and operation. This study utilized eight Machine Learning algorithms, including non-ensemble and ensemble models to predict the discharge of type-A PKWs. Multiple-Linear-Regression (MLR), Support-Vector-Machine (SVM), Gene-Expression-Programming (GEP), and Artificial-Neural-Network (ANN) were adopted as non-ensemble models. While the ensemble models comprised Random-Forest (RF), Adaptive-Boosting (AdaBoost), Extreme-Gradient-Boosting (XGBoost), and Categorical-Boosting (CatBoost). A total of 476 experimental datasets were collected from previous research considering three critical dimensionless input parameters: PKW key widths, PKW height, and total upstream head. The models were trained on 70 % of the dataset and tested on the remaining 30 %. The hyperparameters of the models were optimized using the Bayesian Optimization technique, with 5-fold cross-validation ensuring high performance. Comprehensive analyses, including visual and quantitative methods, were employed to validate model effectiveness. CatBoost model consistently outperformed the other models, achieving the highest Determination-coefficient (R² = 0.998) and lowest Root-Mean-Squared-Error (RMSE = 0.002), highlighting its ability to handle complex data patterns and its superior optimization process. XGBoost follows closely behind, showing strong generalization, while ANN and RF perform well, but it's a slight increase in error metrics. The study also incorporated Shapley-Additive-exPlanations (SHAP) and Partial-Dependence-Plot (PDP) analyses, revealing that the total upstream head variable had the most significant impact on the discharge predictions. An interactive Graphical-User-Interface was developed to facilitate practical applications, enabling engineers to predict discharge quickly and economically.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102732"},"PeriodicalIF":2.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing accuracy in X-ray radiation-based multiphase flow meters: Integration of grey wolf optimization and MLP neural networks","authors":"Abdulilah Mohammad Mayet ,&nbsp;Evgeniya Ilyinichna Gorelkina ,&nbsp;Muneer Parayangat ,&nbsp;John William Grimaldo Guerrero ,&nbsp;M. Ramkumar Raja ,&nbsp;Mohammed Abdul Muqeet ,&nbsp;Salman Arafath Mohammed","doi":"10.1016/j.flowmeasinst.2024.102734","DOIUrl":"10.1016/j.flowmeasinst.2024.102734","url":null,"abstract":"<div><div>This research investigates the development of an advanced predictive model aimed at accurately determining the volumetric percentages of water, oil, and gas within oil pipeline systems. Utilizing an innovative approach that incorporates an X-ray source alongside two sodium iodide detectors, the study leverages the Monte Carlo N-Particle (MCNP) simulation code to model the behavior of three-phase fluids under varied conditions. The model meticulously simulates various volumetric configurations of water, oil, and gas, resulting in a comprehensive dataset that provides key spectral information. The initial phase involved the extraction of ten temporal and frequency-related features from each detector, culminating in a pool of twenty features. The analytical process then applied the Grey Wolf Optimization (GWO) algorithm to select the most indicative features for predictive modeling. Out of the initial set, seven features—short-time energy, frequency deviation, relative spectral density, spectral margin, main peak position, spectral coefficient, and frequency intensity—were identified as critical for enhancing model accuracy. These features were subsequently fed into a meticulously structured multilayer perceptron (MLP) neural network. This network, designed with two hidden layers containing 20 and 10 neurons, respectively, demonstrated exceptional capability, achieving a root mean square error (RMSE) of less than 0.06 in the prediction of oil and gas volumetric percentages. The study emphasizes the significant impact of integrating refined feature selection techniques and robust neural network architectures on the precision and reliability of volumetric predictions in multiphase flow systems within oil pipelines. This approach not only enhances predictive accuracy but also contributes to more efficient resource management and operational planning in the oil and gas industry.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102734"},"PeriodicalIF":2.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three-phase flow measurement by dual-energy gamma ray technique and static-equivalent multi-phase flow simulator","authors":"Mohsen Sharifzadeh,&nbsp;Mojtaba Askari","doi":"10.1016/j.flowmeasinst.2024.102736","DOIUrl":"10.1016/j.flowmeasinst.2024.102736","url":null,"abstract":"<div><div>There is a strong desire to use three-phase flowmeters in upstream operations because of their small size, portability, and cost-effectiveness. Traditional three-phase flowmeterstypically employ two main strategies: fully separating the flow into liquid and gas streams and measuring them using common two- and single-phase meters, or simplifying the direct measurement requirements by homogenization.</div><div>In order to achieve accurate measurements with these meters, it is necessary to first create a suitable simulator for generating various multiphase flow regimes with minimal systematic error. Developing such a simulator on a laboratory scale, rather than using expensive test loops is a crucial and practical option.</div><div>In this research, SEMPF as a Static-Equivalent Multi-Phase Flow with flexibility in creating different multi-phase flow regimes is introduced. In the following, the mechanism of action is validated for both homogenous two- and three-phase mixtures by using dual-energy gamma ray attenuation technique in the Monte Carlo simulator environment. Finally, the three-phase component fraction measurement accuracy by dual-energy gamma meter in three different modes of gasoil-, water-, and air-continuous mixtures were investigated. The experimental results show the maximum accuracy of 2.03 %, 7.23 %, and 5.09 % for gasoil phase measurement in three different conditions that the carrier phase is air, gasoil and water respectively.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102736"},"PeriodicalIF":2.3,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determination of flow angle from measurements of vortex shedding frequency downstream of a triangular bluff model using a single-sensor hot-wire probe","authors":"Ehsan Ardekani,&nbsp;Foad Farhani,&nbsp;Mohammad Ali Ardekani","doi":"10.1016/j.flowmeasinst.2024.102731","DOIUrl":"10.1016/j.flowmeasinst.2024.102731","url":null,"abstract":"<div><div>Experimental aerodynamic studies often require precise measurements of flow angles. However, the conventional multi-hole probe is unsuitable for measuring small flow angles or for use under low-velocity conditions. To overcome these limitations, a new method has been proposed based on measuring the frequency of vortex shedding downstream of a non-polar symmetric body. This technique utilizes a single-sensor hot-wire probe to measure the frequency of the vortex shedding from an equilateral triangular model at different flow angles (<span><math><mrow><mi>α</mi><mo>)</mo></mrow></math></span> by rotating the model using a rotating mechanism. Subsequently, the Strouhal number (St) is determined for each flow angle from the measured vortex shedding frequencies. An empirical correlation is then obtained between the Strouhal number and the flow angle of the form <span><math><mrow><mi>α</mi><mo>=</mo><msup><mi>f</mi><mrow><mo>−</mo><mn>1</mn></mrow></msup><mrow><mo>(</mo><mrow><mi>S</mi><mi>t</mi></mrow><mo>)</mo></mrow></mrow></math></span>, considering the condition where the Strouhal number is solely a function of the flow angle. The range of flow angles for which the proposed method is applicable, along with acceptable repeatability of the vortex shedding frequency and suitable Strouhal number sensitivity to the variations in the flow angle, was determined. An empirical correlation <span><math><mrow><mi>α</mi><mo>=</mo><mo>−</mo><mn>4153.4</mn><msup><mrow><mi>S</mi><mi>t</mi></mrow><mn>2</mn></msup><mo>−</mo><mn>1819.9</mn><mi>S</mi><mi>t</mi><mo>+</mo><mn>189.51</mn></mrow></math></span> was established, which can be used to determine flow angles in the range of ±10° with an accuracy of 1°. For this purpose, the triangular model is fixed at an angle of 33° to the principal coordinates. The probe is positioned downstream of the model in the defined range: <span><math><mrow><mn>3</mn><mo>≤</mo><mi>x</mi><mo>/</mo><mi>a</mi><mo>&lt;</mo><mn>25</mn></mrow></math></span>, <span><math><mrow><mn>4.5</mn><mo>≤</mo><mi>y</mi><mo>/</mo><mi>a</mi><mo>≤</mo><mn>5.1</mn></mrow></math></span>, where <span><math><mrow><mi>a</mi></mrow></math></span> is the side of the equilateral triangular model, and <span><math><mrow><mi>x</mi></mrow></math></span> and <span><math><mrow><mi>y</mi></mrow></math></span> are probe distances in the flow and perpendicular to the flow direction.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102731"},"PeriodicalIF":2.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A binary gas concentration and flow rate measurement system based on scandium-doped aluminum nitride piezoelectric micromachined ultrasonic transducers","authors":"Hanzhe Liu ,&nbsp;Yuzhe Lin ,&nbsp;Guoqiang Wu ,&nbsp;Jifang Tao","doi":"10.1016/j.flowmeasinst.2024.102724","DOIUrl":"10.1016/j.flowmeasinst.2024.102724","url":null,"abstract":"<div><div>This paper presents an ultrasonic binary gas concentration and flow rate measurement system (UBCFS) based on a scandium-doped aluminum nitride (Sc<span><math><mrow><mn>0</mn><mo>.</mo><mn>2</mn></mrow></math></span>Al<span><math><mrow><mn>0</mn><mo>.</mo><mn>8</mn></mrow></math></span>N) piezoelectric micromachined ultrasonic transducer (PMUT) array, enabling the simultaneous measurement of binary gas concentration and flow rate. The ultrasonic propagation time method is employed to determine binary gas concentration and flow rate. To assess the feasibility of the proposed UBCFS, it is integrated into an experimental setup composed of nitrogen (N₂) and argon (Ar) gas paths. Results indicate that the reported UBCFS measures both gas concentration and flow rate with high accuracy and repeatability. For binary gas flow rate measurements, the mean error and repeatability error are below 0.403% and 0.667%, respectively, across all binary gas concentrations. Within the concentration range of 0% to 100%, the minimum mean error and repeatability error for concentration measurements are 0.03% and 0.04%, respectively, which is almost unaffected by gas flow rate. The performance of the proposed UBCFS based on PMUT arrays surpasses that of most reported or commercialized devices. The compact, cost-effective, and highly reliable UBCFS provides a feasible solution for portable equipment utilized in binary gas detection and control in semiconductor processing.</div></div>","PeriodicalId":50440,"journal":{"name":"Flow Measurement and Instrumentation","volume":"100 ","pages":"Article 102724"},"PeriodicalIF":2.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}