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Real-time debris flow monitoring and automated warning system
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作者 LIU Kofei WEI Shihchao 《Journal of Mountain Science》 SCIE CSCD 2024年第12期4050-4061,共12页
At present,debris flow warning uses precipitation threshold and issues regional warning throughout the world.Precipitation threshold warning is less accurate and in most of the time large portion of unaffected populat... At present,debris flow warning uses precipitation threshold and issues regional warning throughout the world.Precipitation threshold warning is less accurate and in most of the time large portion of unaffected population are evacuated.More precise warning should use direct monitoring.There are many debris flow monitoring stations but no real time warning system in use.The main reason is that the identification and confirmation of debris flow occurrence requires human interaction and it is too slow.A debris flow monitoring and warning system has been installed in the midstream section of Yusui Stream,Taiwan China.The monitoring station operates fully automatically,providing early warnings without the need for manual intervention.The system comprises two webcam cameras,two Micro-Electro-Mechanical Systems(MEMS),and a rain gauge.The arrival of debris flows is detected and confirmed through both webcam images and MEMS signals.Once debris flow is detected,the system automatically issues a warning to the affected areas via voice messages,line messages,broadcasts,and web-based alerts.The webcam cameras are also used to estimate debris flow velocity and flow height,while the MEMS sensors are utilized to determine the phase speed and flow rate.On July 24th,2014,Typhoon Gaemi triggered several debris flows,and the system successfully issued several warnings automatically.The entire video record,along with depth variation data,was recorded automatically. 展开更多
关键词 Debris flows real-time monitoring Event detection Automatic warning
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Real-time Three-Dimensional Color Doppler Flow Imaging: An Improved Technique for Quantitative Analysis of Aortic Regurgitation 被引量:3
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作者 吕清 刘夏天 +3 位作者 谢明星 王新房 王静 庄磊 《Journal of Huazhong University of Science and Technology(Medical Sciences)》 SCIE CAS 2006年第1期148-152,共5页
The recently introduced real-time three-dimensional color Doppler flow imaging (RT-3D CDFI) technique provides a quick and accurate calculation of regurgitant jet volume (RJV) and fraction. In order to evaluate RT... The recently introduced real-time three-dimensional color Doppler flow imaging (RT-3D CDFI) technique provides a quick and accurate calculation of regurgitant jet volume (RJV) and fraction. In order to evaluate RT-3D CDFI in the noninvasive assessment of aortic RJV and regurgitant jet fraction (RJF) in patients with isolated aortic regurgitation, real-time three-dimensional echocardiographic studies were performed on 23 patients with isolated aortic regurgitation to obtain LV end-diastolic volumes (LVEDV), end-systolic volumes (LVESV) and RJV, and then RJF could be calculated. The regurgitant volume (RV) and regurgitant fraction (RF) calculated by two-dimensional pulsed Doppler (2D-PD) method served as reference values. The results showed that aortic RJV measured by the RT-3D CDFI method showed a good correlation with the 2D-PD measurements (r= 0.93, Y=0.89X+ 3.9, SEE= 8.6 mL, P〈0.001 ); the mean (SD) difference between the two methods was - 1.5 (9.8) mL. % RJF estimated by the RT-3D CDFI method was also correlated well with the values obtained by the 2D-PD method (r=0.88, Y=0.71X+ 14.8, SEE= 6.4 %, P〈0. 001); the mean (SD) difference between the two methods was -1.2 (7.9) %. It was suggested that the newly developed RT-3D CDFI technique was feasible in the majority of patients. In patients with eccentric aortic regurgitation, this new modality provides additional information to that obtained from the two-dimensional examination, which overcomes the inherent limitations of two-dimensional echocardiography by depicting the full extent of the jet trajectory. In addition, the RT-3D CDFI method is quick and accurate in calculating RJV and RJF. 展开更多
关键词 real-time three-dimensional echocardiography color Doppler flow imaging aortic regurgitation
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DuFNet:Dual Flow Network of Real-Time Semantic Segmentation for Unmanned Driving Application of Internet of Things 被引量:1
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作者 Tao Duan Yue Liu +2 位作者 Jingze Li Zhichao Lian d Qianmu Li 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第7期223-239,共17页
The application of unmanned driving in the Internet of Things is one of the concrete manifestations of the application of artificial intelligence technology.Image semantic segmentation can help the unmanned driving sy... The application of unmanned driving in the Internet of Things is one of the concrete manifestations of the application of artificial intelligence technology.Image semantic segmentation can help the unmanned driving system by achieving road accessibility analysis.Semantic segmentation is also a challenging technology for image understanding and scene parsing.We focused on the challenging task of real-time semantic segmentation in this paper.In this paper,we proposed a novel fast architecture for real-time semantic segmentation named DuFNet.Starting from the existing work of Bilateral Segmentation Network(BiSeNet),DuFNet proposes a novel Semantic Information Flow(SIF)structure for context information and a novel Fringe Information Flow(FIF)structure for spatial information.We also proposed two kinds of SIF with cascaded and paralleled structures,respectively.The SIF encodes the input stage by stage in the ResNet18 backbone and provides context information for the feature fusionmodule.Features from previous stages usually contain rich low-level details but high-level semantics for later stages.Themultiple convolutions embed in Parallel SIF aggregate the corresponding features among different stages and generate a powerful global context representation with less computational cost.The FIF consists of a pooling layer and an upsampling operator followed by projection convolution layer.The concise component provides more spatial details for the network.Compared with BiSeNet,our work achieved faster speed and comparable performance with 72.34%mIoU accuracy and 78 FPS on Cityscapes Dataset based on the ResNet18 backbone. 展开更多
关键词 real-time semantic segmentation convolutional neural network feature fusion unmanned driving fringe information flow
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The Design of a Three-Dimensional Physical Modeling System for Real-Time Groundwater Flows 被引量:1
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作者 SHI Feng ZHANG Fawang +5 位作者 CHEN Li HAN Zhantao YAO Hongchao QIAN Long CHEN Liang JIANG Chengchao 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2015年第6期2103-2103,共1页
In the past decades,physical modeling has been widely used in hydrogeology for teaching,studying and exhibition purposes.Most of these models are used to illustrate hydrogeological profiles,but few can depict three-di... In the past decades,physical modeling has been widely used in hydrogeology for teaching,studying and exhibition purposes.Most of these models are used to illustrate hydrogeological profiles,but few can depict three-dimensional groundwater flows,making it impossible to validate groundwater flows simulated by numerical methods with physical modeling. 展开更多
关键词 The Design of a Three-Dimensional Physical Modeling System for real-time Groundwater flows
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A Parallel Approach for Real-Time Power Flow in Distribution Networks
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作者 Rafael G. Milbradt Luciane N. Canha +3 位作者 Pedro B. Zorrilla Alzenira R. Abaide Paulo R. Pereira Sandro R.Schmaedecke 《Journal of Energy and Power Engineering》 2013年第3期589-595,共7页
The new reality of smart distribution systems with use of generation sources of small and medium sizes brings new challenges for the operation of these systems. The complexity and the large number of nodes requires us... The new reality of smart distribution systems with use of generation sources of small and medium sizes brings new challenges for the operation of these systems. The complexity and the large number of nodes requires use of methods which can reduce the processing time of algorithms such as power flow, allowing its use in real time. This paper presents a known methodology for calculating the power flow in three phases using backward/forward sweep method, and also considering other network elements such as voltage regulators, shunt capacitors and sources of dispersed generation of types PV (active power and voltage) and PQ (active and reactive power). After that, new elements are introduced that allow the parallelization of this algorithm and an adequate distribution of work between the available processors. The algorithm was implemented using a multi-tiered architecture; the processing times were measured in many network configurations and compared with the same algorithm in the serial version. 展开更多
关键词 Distribution power flow real-time power flow distribution automation dispersed generation parallel algorithm.
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Real-Time Traffic Signal Timing for Urban Road Multi-Intersection
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作者 Lin Dong Wushan Chen 《Intelligent Information Management》 2010年第8期483-486,共4页
this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of t... this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time signal timing model (non-fixed cycle and non-fixed split) is built with the Webster split optimal model. At last, the simulated results, which are compared with conventional model, manifest the promising properties of proposed model. 展开更多
关键词 TRAFFIC SIGNAL Control TRAFFIC flows real-time SIGNAL Timing Release Matrix SPLIT PASSION Distribution
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Renewable and Nonrenewable Energy Flow Resiliency for Day-to-Day Production and Consumption 被引量:2
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作者 Bahman Zohuri Farhang Mossavar-Rahmani Masoud Moghaddam 《Journal of Energy and Power Engineering》 2022年第1期13-18,共6页
Energy resilience is about ensuring a business and end-use consumers have a reliable,regular supply of energy and contingency measures in place in the event of a power failure,generating a source of power such as elec... Energy resilience is about ensuring a business and end-use consumers have a reliable,regular supply of energy and contingency measures in place in the event of a power failure,generating a source of power such as electricity for daily needs from an uninterrupted source of energy no matter either renewable or nonrenewable.Causes of resilience issues include power surges,weather,natural disasters,or man-made accidents,and even equipment failure.The human operational error can also be an issue for grid-power supply to go down and should be factored into resilience planning.As the energy landscape undergoes a radical transformation,from a world of large,centralized coal plants to a decentralized energy world made up of small-scale gas-fired production and renewables,the stability of electricity supply will begin to affect energy pricing.Businesses must plan for this change.The challenges that the growth of renewables brings to the grid in terms of intermittency mean that transmission and distribution costs consume an increasing proportion of bills.With progress in the technology of AI(Artificial Intelligence)integration of such progressive technology in recent decades,we are improving our resiliency of energy flow,so we prevent any unexpected interruption of this flow.Ensuring your business is energy resilient helps insulate against price increases or fluctuations in supply,becoming critical to maintaining operations and reducing commercial risk.In the form short TM(Technical Memorandum),this paper covers this issue. 展开更多
关键词 Resilience system energy flow energy storage energy grid BI(business intelligence) AI cyber security decision making in real-time machine learning and deep learning BD(big data)and cloud-based servers for repository and storage of data
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Operational guidance for aeration and flow augmentation for the Chicago Area Waterway System—A case study
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作者 Charles S.Melching Jennifer Wasik +1 位作者 Ed Staudacher Thomas Minarik 《Water Science and Engineering》 EI CAS CSCD 2023年第4期345-358,共14页
The Chicago Area Waterway System(CAWS)is a 133.9 km branching network of navigable waterways controlled by hydraulic structures,in which the majority of the flow is treated wastewater effluent and there are periods of... The Chicago Area Waterway System(CAWS)is a 133.9 km branching network of navigable waterways controlled by hydraulic structures,in which the majority of the flow is treated wastewater effluent and there are periods of substantial combined sewer overflows.The CAWS comprises a network of effluent dominated streams.More stringent dissolved oxygen(DO)standards and a reduced flow augmentation allowance have been recently applied to the CAWS.Therefore,a carefully calibrated and verified one-dimensional flow and water quality model was applied to the CAWS to determine emission-based real-time control guidelines for the operation of flow augmentation and aeration stations.The goal of these guidelines was to attain DO standards at least 95%of the time.The“optimal”guidelines were tested for representative normal,dry,and wet years.The finally proposed guidelines were found in the simulations to attain the 95%target for nearly all locations in the CAWS for the three test years.The developed operational guidelines have been applied since 2018 and have shown improved attainment of the DO standards throughout the CAWS while at the same time achieving similar energy use at the aeration stations on the Calumet River system,greatly lowered energy use on the Chicago River system,and greatly lowered discretionary diversion from Lake Michigan,meeting the recently enacted lower amount of allowed annual discretionary diversion.This case study indicates that emission-based real-time control developed from a well calibrated model holds potential to help many receiving water bodies achieve high attainment of water quality standards. 展开更多
关键词 Water quality modeling Water quality management real-time control Stream aeration flow augmentation Dissolved oxygen
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CROSS-CORRELATION MEASURING SYSTEM FOR MEASURING VELOCITY OF BULK MATERIAL FLOW IN PIPE LINE
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作者 魏任之 肖世德 +1 位作者 黄民 吴淼 《Journal of China University of Mining and Technology》 1992年第1期11-21,共11页
In this paper the cross correlation technique for measuring velocity of bulk material flow in pipe line was investigated and a new capacitance transducer with converter has been introduced. The system was controlled b... In this paper the cross correlation technique for measuring velocity of bulk material flow in pipe line was investigated and a new capacitance transducer with converter has been introduced. The system was controlled by single chip computer with a real-time cross correlation cumputing software. Computing time reaches 1 sec and velocity measuring error is less than 1%. 展开更多
关键词 gas-solid two phase flow capacitance transducer CONVERTER real-time cross-correlation software
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REAL-TIME FLOOD FORECASTING METHOD WITH 1-D UNSTEADY FLOW MODEL 被引量:15
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作者 MU Jin-bin ZHANG Xiao-feng 《Journal of Hydrodynamics》 SCIE EI CSCD 2007年第2期150-154,共5页
A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising i... A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising it dynamically through introducing a variable weighted forgetting factor, such that the output of the model could be adjusted for the real time forecasting of floods. The application of the new real time forecasting model in the reach from Yichang to Luoshan of the Yangtze River was demonstrated. Computational result shows that the forecasting accuracy of the new model is much higher than that of the original 1-D unsteady flow model. The method developed is effective for flood forecasting, and can be used for practical operation in the flood forecasting. 展开更多
关键词 unsteady flow hydraulic model least squares time variant forgetting factor real-time forecasting
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Real-time adaptive particle image velocimetry for accurate unsteady flow field measurements 被引量:1
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作者 OUYANG ZhenXing YANG Hua +2 位作者 LU Jin HUANG YongAn YIN ZhouPing 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2022年第9期2143-2155,共13页
Almost all conventional open-loop particle image velocimetry(PIV) methods employ fixed-interval-time optical imaging technology and the time-consuming cross-correlation-based PIV measurement algorithm to calculate the... Almost all conventional open-loop particle image velocimetry(PIV) methods employ fixed-interval-time optical imaging technology and the time-consuming cross-correlation-based PIV measurement algorithm to calculate the velocity field.In this study,a novel real-time adaptive particle image velocity(RTA-PIV) method is proposed to accurately measure the instantaneous velocity field of an unsteady flow field.In the proposed closed-loop RTA-PIV method,a new correlation-filter-based PIV measurement algorithm is introduced to calculate the velocity field in real time.Then,a Kalman predictor model is established to predict the velocity of the next time instant and a suitable interval time can be determined.To adaptively adjust the interval time for capturing two particle images,a new high-speed frame-straddling vision system is developed for the proposed RTA-PIV method.To fully analyze the performance of the RTA-PIV method,we conducted a series of numerical experiments on ground-truth image pairs and on real-world image sequences. 展开更多
关键词 real-time adaptive particle image velocimetry flow field measurement high-speed vision correlation filter
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Real-Time Hybrid Flow Shop Scheduling Approach in Smart Manufacturing Environment 被引量:5
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作者 Xiuli Wu Zheng Cao Shaomin Wu 《Complex System Modeling and Simulation》 2021年第4期335-350,共16页
Smart manufacturing in the“Industry 4.0”strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous environment.However,the real-time schedu... Smart manufacturing in the“Industry 4.0”strategy promotes the deep integration of manufacturing and information technologies,which makes the manufacturing system a ubiquitous environment.However,the real-time scheduling of such a manufacturing system is a challenge faced by many decision makers.To deal with this challenge,this study focuses on the real-time hybrid flow shop scheduling problem(HFSP).First,the characteristic of the hybrid flow shop in a smart manufacturing environment is analyzed,and its scheduling problem is described.Second,a real-time scheduling approach for the HFSP is proposed.The core module is to employ gene expression programming to construct a new and efficient scheduling rule according to the real-time status in the hybrid flow shop.With the scheduling rule,the priorities of the waiting job are calculated,and the job with the highest priority will be scheduled at this decision time point.A group of experiments are performed to prove the performance of the proposed approach.The numerical experiments show that the real-time scheduling approach outperforms other single-scheduling rules and the back-propagation neural network method in optimizing most objectives for different size instances.Therefore,the contribution of this study is the proposal of a real-time scheduling approach,which is an effective approach for real-time hybrid flow shop scheduling in a smart manufacturing environment. 展开更多
关键词 smart manufacturing real-time scheduling hybrid flow shop scheduling problem gene expression programming
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Real-time solution of nonlinear potential flow equations for lifting rotors 被引量:2
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作者 Jianzhe HUANG David PETERS 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2017年第3期871-880,共10页
Analysis of rotorcraft dynamics requires solution of the rotor induced flow field.Often,the appropriate model to be used for induced flow is nonlinear potential flow theory(which is the basis of vortex-lattice method... Analysis of rotorcraft dynamics requires solution of the rotor induced flow field.Often,the appropriate model to be used for induced flow is nonlinear potential flow theory(which is the basis of vortex-lattice methods).These nonlinear potential flow equations sometimes must be solved in real time––such as for real-time flight simulation,when observers are needed for controllers,or in preliminary design computations.In this paper,the major effects of nonlinearities on induced flow are studied for lifting rotors in low-speed flight and hover.The approach is to use a nonlinear statespace model of the induced flow based on a Galerkin treatment of the potential flow equations. 展开更多
关键词 Mass-flow Nonlinear Potential flow real-time flight simulator Rotorcraft dynamics Swirl Wake contraction
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A REAL-TIME MATHEMATICAL MODEL FOR TWO DIMENSIONAL TIDAL FLOW AND WATER QUALITY 被引量:1
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作者 Zeng Fan-tang Xu Zhen-cheng Chen Xian-cheng, South China Institute for Environmental Sciences, NEPA, Yuancun, Guangzhou 510655, P.R.China 《Journal of Hydrodynamics》 SCIE EI CSCD 1991年第3期35-40,共6页
A real-time mathematical model for two dimensional tidal flow and water quality is presented in this paper. The control-volume-based-finite-difference method and the 'power interpolation distribution' advocate... A real-time mathematical model for two dimensional tidal flow and water quality is presented in this paper. The control-volume-based-finite-difference method and the 'power interpolation distribution' advocated by Patankar [4] have been employed, and new boundary condition for tidal flow is recommended. The model is un- conditionally stable and convergent, and able to deal with irregular estuarine topography and movable boundary problems. Practical application of the model is illustrated by an example for the Swatou Bay. A fair agreement be- tween the values measured and computed demonstrates the validity of the model developed. 展开更多
关键词 A real-time MATHEMATICAL MODEL FOR TWO DIMENSIONAL TIDAL flow AND WATER QUALITY
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An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores
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作者 Chibuzo Cosmas Nwanwe Ugochukwu Ilozurike Duru +1 位作者 Charley Anyadiegwu Azunna I.B.Ekejuba 《Petroleum Research》 EI 2023年第3期370-385,共16页
Accurate prediction of multiphase flowing bottom-hole pressure(FBHP)in wellbores is an important factor required for optimal tubing design and production optimization.Existing empirical correlations and mechanistic mo... Accurate prediction of multiphase flowing bottom-hole pressure(FBHP)in wellbores is an important factor required for optimal tubing design and production optimization.Existing empirical correlations and mechanistic models provide inaccurate FBHP predictions when applied to real-time field datasets because they were developed with laboratory-dependent parameters.Most machine learning(ML)models for FBHP prediction are developed with real-time field data but presented as black-box models.In addition,these ML models cannot be reproduced by other users because the dataset used for training the machine learning algorithm is not open source.These make using the ML models on new datasets difficult.This study presents an artificial neural network(ANN)visible mathematical model for real-time multiphase FBHP prediction in wellbores.A total of 1001 normalized real-time field data points were first used in developing an ANN black-box model.The data points were randomly divided into three different sets;70%for training,15%for validation,and the remaining 15%for testing.Statistical analysis showed that using the Levenberg-Marquardt training optimization algorithm(trainlm),hyperbolic tangent activation function(tansig),and three hidden layers with 20,15 and 15 neurons in the first,second and third hidden layers respectively achieved the best performance.The trained ANN model was then translated into an ANN visible mathematical model by extracting the tuned weights and biases.Trend analysis shows that the new model produced the expected effects of physical attributes on FBHP.Furthermore,statistical and graphical error analysis results show that the new model outperformed existing empirical correlations,mechanistic models,and an ANN white-box model.Training of the ANN on a larger dataset containing new data points covering a wider range of each input parameter can broaden the applicability domain of the proposed ANN visible mathematical model. 展开更多
关键词 flowing bottom-hole pressure real-time prediction Artificial neural network Visible mathematical model Levenberg-marquardt optimization ALGORITHM Hyperbolic tangent activation function Empirical correlations Mechanistic models
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Real-time implementation of Kalman filter for unsteady flow measurement in a pipe
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作者 Kazushi Sanada 《International Journal of Hydromechatronics》 2018年第1期3-15,共13页
A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar f... A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar friction. A steady-state Kalman filter is built based on the model of pipeline dynamics. Pressure signals at both ends of a target section of a pipe are input to the model of pipeline dynamics, and as an output of the model an estimated pressure signal at a mid-point of the pipe is obtained. Difference between measured and estimated pressure signals at the mid-point is fed back to the model of pipeline dynamics to modify state variables of the model. According to the Kalman filter principle, the state variables of the model are adjusted so that they converge to real values. It is demonstrated that real-time implementation of the Kalman filter is possible with the sampling time of 0.1 ms. 展开更多
关键词 flow measurement unsteady flow flow rate POWER Kalman filter optimised finite element model pipeline dynamics real-time implementation PIPE hydromechatronics.
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Development of a Method to Produce Chromosome Lacking Lines (CLLs) in <i>Nicotiana tabacum</i>L. “Red Russian”
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作者 Hongshuo Liu Yasuhiro Ito +4 位作者 Naho Muraida Yuuka Hayakawa Kyo Itoyama Shuichi Ohsato Wataru Marubashi 《American Journal of Plant Sciences》 2017年第12期2923-2943,共21页
Monosomic lines of Nicotiana tabacum are helpful to confirm the location of genes on specific chromosomes. In the cross N. nudicaulis and N. tabacum, hybrid seedlings express lethal symptoms, which are controlled by t... Monosomic lines of Nicotiana tabacum are helpful to confirm the location of genes on specific chromosomes. In the cross N. nudicaulis and N. tabacum, hybrid seedlings express lethal symptoms, which are controlled by the S subgenome of N. tabacum. To identify the responsible chromosome, we needed to produce chromosome lacking lines (CLLs) of N. tabacum L. “Red Russian” and use them to cross with N. nudicaulis. From a cross of (N. tabacum × N. tomentosiformis) × N. tabacum, 380 BC1 individuals were obtained. Using a Haplo-Q line (a monosomic line lacking the single linkage group 11) and N. tabacum, we found that qPCR is a simple and reliable screening method for CLLs of N. tabacum. The marker PT30342 is located on linkage group 11, and the -Ct value (Ct Actin - Ct PT30342) was 2.0 for a disomic line and was 1.097 for a Haplo-Q line. By the use of flow cytometry, qPCR and chromosome counting together as a screening method, we identified 6 CLLs lacking 2 to 6 chromosomes. Compared with conventional methods, our method is a rapid technique for making and screening CLLs ofthe S or S/T subgenome of N. tabacum. Further, these CLLs will be useful to identify the location of two or more factors on chromosomes controlling a variety of genetic problems affecting breeding. Here, we only made CLLs of the S or S/T subgenome of N. tabacum. We will use the method established in this study to produce CLLs of the T subgenome of N. tabacum, and gather a full set of CLLs of N. tabacum. qPCR could also be applied to the identification of chromosome aberrations in other plants. 展开更多
关键词 CHROMOSOME LACKING LINES Quantitative real-time Polymerase Chain Reaction Simple Sequence Repeat Marker flow Cytometry Nicotiana tabacum L.
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Enhancing production monitoring: A back allocation methodology to estimate well flow rates and assist well test scheduling
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作者 G.S.Chaves V.J.M.Ferreira Filho 《Petroleum Research》 EI 2024年第3期369-379,共11页
Production flow rates are crucial to make operational decisions,monitor,manage,and optimize oil and gas fields.Flow rates also have a financial importance to correctly allocate production to fiscal purposes required b... Production flow rates are crucial to make operational decisions,monitor,manage,and optimize oil and gas fields.Flow rates also have a financial importance to correctly allocate production to fiscal purposes required by regulatory agencies or to allocate production in fields owned by multiple operators.Despite its significance,usually only the total field production is measured in real time,which requires an alternative way to estimate wells'production.To address these challenges,this work presents a back allocation methodology that leverages real-time instrumentation,simulations,algorithms,and mathe-matical programming modeling to enhance well monitoring and assist in well test scheduling.The methodology comprises four modules:simulation,classification,error calculation,and optimization.These modules work together to characterize the flowline,wellbore,and reservoir,verify simulation outputs,minimize errors,and calculate flow rates while honoring the total platform flow rate.The well status generated through the classification module provides valuable information about the current condition of each well(i.e.if the well is deviating from the latest well test parameters),aiding in decision-making for well testing scheduling and prioritizing.The effectiveness of the methodology is demonstrated through its application to a representative offshore oil field with 14 producing wells and two years of daily production data.The results highlight the robustness of the methodology in properly classifying the wells and obtaining flow rates that honor the total platform flow rate.Furthermore,the methodology supports well test scheduling and provides reliable indicators for well conditions.By uti-lizing real-time data and advanced modeling techniques,this methodology enhances production monitoring and facilitates informed operational decision-making in the oil and gas industry. 展开更多
关键词 Production estimation real-time production Production monitoring Back allocation Well test scheduling flow rate estimation
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Energy Driven by Internet of Things Analytics and Artificial Intelligence
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作者 Bahman Zohuri Paul E.Bowen +1 位作者 Akansha Agarwal Dinesh Kumar Masoud Moghaddam 《Journal of Energy and Power Engineering》 2022年第1期24-31,共8页
Developing an integrated and intelligent approach to securing the ITE(information technology environment)is an emergent and evolving concern for every organization and consumer entity during the last few decades.Major... Developing an integrated and intelligent approach to securing the ITE(information technology environment)is an emergent and evolving concern for every organization and consumer entity during the last few decades.Major topics of concern include“SI”(security intelligence),“D-DA”(data-driven analytics),“PE”(proven expertise),and“R-TD”(real-time defense)capabilities.“DRBTs”(dynamic response behavior types)include“incident response”,“endpoint management”,“threat intelligence”,“network security”,and“fraud protection”.The consumer demand for electricity as essential public access and service is indexed to population growth estimates.Consumer-driven economies continue to add electrical consumption to their grids even though improvements in lower-power consumption and higher design efficiencies are present in new electric-powered products.Dependence on the production of electrical energy has no peer replacement technology and creates a societal vulnerability to targeted public electrical grid interruptions.When access to,or production of,electrical power is interrupted,the result is a“Mass Effect”every consumer feels with equal distribution.Electric grid security falls directly into the levels of authorized,and unauthorized,access via the“IoT”(Internet of Things)concepts,and the“IoM2M”(Internet of Machine-to-Machine)integration.Electrical grid operations that include production and network management augment each other in order to support the demand for electricity every day either in peak or off-peak,thus cybersecurity plays a big role in the protection of such assets at our disposal.With help from AI(artificial intelligence)integrated into the IoT a resilient system can be built to protect the electric grid system nationwide and will be able to detect and preempt Smart Malware attacks. 展开更多
关键词 Resilience system energy flow energy storage energy grid business intelligence AI CYBERSECURITY decision making in real-time ML(machine learning) DL(deep learning) BD(big data) cloud-based servers for repository and storage of data
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Study of Real──Time Simulation for Two──Phase Flow Network
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作者 Xie Maoqing Zhu Wen +1 位作者 Ren Tingjin Zhang Qing(Tsinghua University, Department of Thermal Engineering, Beijing 100084, China) 《Journal of Thermal Science》 SCIE EI CAS CSCD 1995年第2期125-128,共4页
To mead the need of real-time simulation for two-phase flow network in power plants, this paper presents a mathematical model based on basic principles and a numerical solution method. This model can be used to descri... To mead the need of real-time simulation for two-phase flow network in power plants, this paper presents a mathematical model based on basic principles and a numerical solution method. This model can be used to describe nonhomogeneous two-phase flow networks. The algorithm presellted in this paper makes use of the sparsity, the symmetry and the diagonal dominancy of the coefficient matrix to save storage space, reduce computational time and meet the requirements of real-time simulations. 展开更多
关键词 two-phase flow NETWORK real-time simulation modelling.
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