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Energy Engineering 2025年第1期122卷 63-84页

作者： SuliangMa ZeqingMeng mingxuan chen Yuan Jiang School of Electrical and Control Engineering North China University of TechnologyBeijing100144China ChinaThree Gorges Technology Co. Ltd.Beijing100032China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing100083China

In the independent electro-hydrogen system(IEHS)with hybrid energy storage(HESS),achieving optimal scheduling is ***,it presents a challenge due to the significant deviations in values ofmultiple optimization objective functions caused by their physical *** deviations seriously affect the scheduling process.A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s *** optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization *** proposed method better balances all optimization objective functions and reduces the impact of their *** the cost of BESS decreases by approximately 30%,its participation deepens by about 1 ***,if the price of the electrolyzer is less than 15￥/kWh or if the cost of the fuel cell drops below 4￥/kWh,their participation will increase *** study aims to provide a more reasonable approach to solving multi-objective optimization problems.

关键词： Electro-hydrogen system multi-objective optimization standardization method hybrid energy storage system

A multichannel human-swarm robot interaction system in augmented reality

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Virtual Reality & Intelligent Hardware 2020年第6期2卷 518-533页

作者： mingxuan chen Ping ZHANG Zebo WU Xiaodan chen South China University of Technology School of Computer Science&EngineeringGuangzhou 510006China

Background A large number of robots have put forward the new requirements for human robot *** of the problems in human-swarm robot interaction is how to naturally achieve an efficient and accurate interaction between humans and swarm robot *** address this,this paper proposes a new type of human-swarm natural interaction *** Through the cooperation between three-dimensional(3D)gesture interaction channel and natural language instruction channel,a natural and efficient interaction between a human and swarm robots is *** First,A 3D lasso technology realizes a batch-picking interaction of swarm robots through oriented bounding ***,control instruction labels for swarm-oriented robots are *** instruction label is integrated with the 3D gesture and natural language through instruction label ***,the understanding of natural language instructions is realized through a text classifier based on the maximum entropy model.A head-mounted augmented reality display device is used as a visual feedback *** The experiments on selecting robots verify the feasibility and availability of the system.

关键词： Human-swarm interaction Augmented reality Multichannel integration

Human-Robot Interface for Unmanned Aerial Vehicle via a Leap Motion

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Journal of Beijing Institute of Technology 2019年第1期28卷 1-7页

作者： mingxuan chen Caibing Liu Guanglong Du Ping Zhang School of Computer Science and Engineering South China University of Technology

The unmanned aircraft vehicles industry is in the ascendant while traditional interaction ways for an unmanned aerial vehicle(UAV)are not intuitive *** is difficult for a beginner to control a UAV,therefore natural interaction methods are *** paper presents a novel interactive control method for a UAV through operator's gesture,and explores the natural interaction method for the *** proposed system uses the leap motion controller as an input device acquiring the gesture position and orientation *** is found that the proposed human-robot interface can track the movement of the operator with satisfactory *** biggest advantage of the proposed method is its capability to control the UAV by just one hand instead of a joystick.A series of experiments verified the feasibility of the proposed human-robot *** results demonstrate that non-professional operators can easily operate a remote UAV by just using this system.

关键词： human-robot interface unmanned aerial vehicle(UAV) gesture control scheme autoadaption leap motion

Statistic characteristics and weather significance of infrared TBB during May―August in Beijing and its vicinity

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Chinese Science Bulletin 2007年第24期52卷 3428-3435页

作者： ZHENG YongGuang chen Jiong chen mingxuan WANG YingChun DING QingLan National Meteorological Center Beijing 100081 China Institute of Urban Meteorology China Meteorological Administration Beijing 100089 China Beijing Meterological Office Beijing 100089 China

In order to meet the demand of nowcasting convective storms in Beijing, the climatological characteristics of convective storms in Beijing and its vicinity were analyzed based on the infrared (IR) temperature of black body (TBB) data during May―August of 1997―2004. The climatological probabilities, the diurnal cycle and the spatial distribution of convective storms are given respectively in this paper. The results show that the climatological characteristics of convective storms denoted by TBB≤-52℃ are consistent with those statistic studies based on the surface and lightning observations. Furthermore, the climatological characteristics of May and June are very different from those of July and August, showing that there are two types of convective storms in this region. One occurs in the transient polar air mass on the midlatitude continent during the late spring and early summer. This type of convection arises with thunder, strong wind gust and hail over the mountainous area in the northern part of this region from afternoon to nightfall, the other occurs with heavy rainfall in the warm and moist air mass over the North China Plain and vicinity of Bohai Sea. This study also shows that the long-term data of IR TBB observed by geostationary satellite can complement the temporal and spatial limitation of the weather radar and surface observations.

关键词：统计表北京气候分析夏季

Elevation Influence on Rainfall and a Parameterization Algorithm in the Beijing Area

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Journal of Meteorological Research 2019年第6期33卷 1143-1156页

作者： Linye SONG mingxuan chen Feng GAO Conglan chenG Min chen Lu YANG Yong WANG Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China Central Institute for Meteorology and Geodynamics Vienna A-1190Austria

Using a high-density automatic weather stations(AWS)dataset of hourly rainfall observations,the present study investigates the relationship between rainfall and elevation in the Beijing area,and further proposes a rainfall amount dependent parameterized algorithm considering the elevation effect on rainfall on hourly *** parameterization equation is defined as a segmented nonlinear model,which calculates the mountain rainfall as a function of valley rainfall *** show that there exists an evident enhancement of rainfall amount by elevation effect in the Beijing *** particular,larger rainfall amount is generally found in higher mountains,especially for slight rain and moderate ***,six representative station pairs located in valleys and on mountains respectively are selected to estimate the values of optimal parameters in the parameterization *** parameterization algorithm of elevation dependence can produce a reduction in the root-mean-square error and obtain a much closer mountain rainfall total to the observations compared with those using no elevation ***,the spatial distribution of rainfall is more realistic and accurate in mountainous terrain when elevation dependence is *** study helps to understand the variability of rainfall with complex terrain in the Beijing area,and gives a possible way to parameterize rainfall–elevation relationship on hourly timescale.

关键词： rainfall elevation influence parameterization algorithm Beijing

Comparative study on the performance of ConvLSTM and ConvGRU in classification problems-taking early warning of short-duration heavy rainfall as an example

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Atmospheric and Oceanic Science Letters 2024年第4期17卷 52-57页

作者： Meng Zhou Jingya Wu mingxuan chen Lei Han Faculty of Information Science and Engineering Ocean University of ChinaQingdaoChina Institute of Urban Meteorology China Meteorological AdministrationBeijingChina

卷积长短期记忆单元ConvLSTM和卷积门控循环单元ConvGRU是两种广泛应用的深度学习单元,通过将循环机制与卷积运算相结合,常常用于时空序列的预测.为了明确上述两种模型的收敛速度和分类能力,需要使用相同的模型架构对相同的分类问题进... 详细信息

卷积长短期记忆单元ConvLSTM和卷积门控循环单元ConvGRU是两种广泛应用的深度学习单元,通过将循环机制与卷积运算相结合,常常用于时空序列的预测.为了明确上述两种模型的收敛速度和分类能力,需要使用相同的模型架构对相同的分类问题进行预测.本研究将北京短时强降水区级预警问题看作深度学习中的二分类问题,使用京津冀雷达网的组合反射率数据和北京区域内的自动气象站降雨数据进行深度学习模型的训练和评估.结果表明,ConvGRU的收敛速度比ConvLSTM快约25%.ConvLSTM和ConvGRU的预警性能随地区,时间,降雨强度的变化趋势相似,但大部分ConvLSTM的得分较高,少数情况下ConvGRU的得分较高.

关键词：深度学习卷积长短期记忆单元卷积门控循环单元分类问题

A Deep Learning Approach for Forecasting Thunderstorm Gusts in the Beijing–Tianjin–Hebei Region

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Advances in Atmospheric Sciences 2024年第7期41卷 1342-1363页

作者： Yunqing LIU Lu YANG mingxuan chen Linye SONG Lei HAN Jingfeng XU Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China

Thunderstorm gusts are a common form of severe convective weather in the warm season in North China,and it is of great importance to correctly forecast *** present,the forecasting of thunderstorm gusts is mainly based on traditional subjective methods,which fails to achieve high-resolution and high-frequency gridded forecasts based on multiple observation *** this paper,we propose a deep learning method called Thunderstorm Gusts TransU-net(TGTransUnet)to forecast thunderstorm gusts in North China based on multi-source gridded product data from the Institute of Urban Meteorology(IUM)with a lead time of 1 to 6 *** determine the specific range of thunderstorm gusts,we combine three meteorological variables:radar reflectivity factor,lightning location,and 1-h maximum instantaneous wind speed from automatic weather stations(AWSs),and obtain a reasonable ground truth of thunderstorm ***,we transform the forecasting problem into an image-to-image problem in deep learning under the TG-TransUnet architecture,which is based on convolutional neural networks and a *** analysis and forecast data of the enriched multi-source gridded comprehensive forecasting system for the period 2021–23 are then used as training,validation,and testing ***,the performance of TG-TransUnet is compared with other *** results show that TG-TransUnet has the best prediction results at 1–6 *** IUM is currently using this model to support the forecasting of thunderstorm gusts in North China.

关键词： thunderstorm gusts deep learning weather forecasting convolutional neural network transformer

A Deep Learning Method for Bias Correction of ECMWF 24–240 h Forecasts

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Advances in Atmospheric Sciences 2021年第9期38卷 1444-1459页

作者： Lei HAN mingxuan chen Kangkai chen Haonan chen Yanbiao ZHANG Bing LU Linye SONG Rui QIN College of Information Science and Engineering Ocean University of ChinaQingdao 266100China Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China Department of Electrical and Computer Engineering Colorado State UniversityFort CollinsCO 80523USA

Correcting the forecast bias of numerical weather prediction models is important for severe weather *** refined grid forecast requires direct correction on gridded forecast products,as opposed to correcting forecast data only at individual weather *** this study,a deep learning method called CU-net is proposed to correct the gridded forecasts of four weather variables from the European Centre for Medium-Range Weather Forecast Integrated Forecasting System global model(ECMWF-IFS): 2-m temperature,2-m relative humidity,10-m wind speed,and 10-m wind direction,with a forecast lead time of 24 h to 240 h in North ***,the forecast correction problem is transformed into an image-toimage translation problem in deep learning under the CU-net architecture,which is based on convolutional neural ***,the ECMWF-IFS forecasts and ECMWF reanalysis data(ERA5) from 2005 to 2018 are used as training,validation,and testing *** predictors and labels(ground truth) of the model are created using the ECMWF-IFS and ERA5,***,the correction performance of CU-net is compared with a conventional method,anomaly numerical correction with observations(ANO).Results show that forecasts from CU-net have lower root mean square error,bias,mean absolute error,and higher correlation coefficient than those from ANO for all forecast lead times from 24 h to 240 ***-net improves upon the ECMWF-IFS forecast for all four weather variables in terms of the above evaluation metrics,whereas ANO improves upon ECMWF-IFS performance only for 2-m temperature and relative *** the correction of the 10-m wind direction forecast,which is often difficult to achieve,CU-net also improves the correction performance.

关键词： numerical weather prediction bias correction deep learning ECMWF

基于瓦片分区的雷达动态定量降水估测方法研究

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高原气象 2025年第1期44卷 122-133页

作者：李佳慧马建立陈明轩史朝成都信息工程大学四川成都610225 北京城市气象研究院北京100089

雷达定量降水估测(QPE)考虑雨滴谱的时空变异性,是提高QPE的有效途径。雷达采用Z-R关系开展降水估测时,雨滴谱的差异,主要表现为Z-R关系式不同;利用瓦片分区方法,将降水估测区域进行瓦片分区,每个瓦片内利用雷达和自动站数据动态拟合Z-... 详细信息

雷达定量降水估测(QPE)考虑雨滴谱的时空变异性,是提高QPE的有效途径。雷达采用Z-R关系开展降水估测时,雨滴谱的差异,主要表现为Z-R关系式不同;利用瓦片分区方法,将降水估测区域进行瓦片分区,每个瓦片内利用雷达和自动站数据动态拟合Z-R关系式开展QPE。文中利用六次天气过程对瓦片分区降水估测方法进行评估,从QPE各项评价指标看,误差较传统的固定Z-R关系法和全域动态Z-R关系法,有很好的提升,降水估测结果与强降水中心基本一致,各项误差指标均最小;结果表明瓦片分区降水估测方法是提升雷达QPE的有效方式。

关键词：降水估测雷达组网分区拟合

Enhancing the Efficiency of Multi-Electrolyzer Clusters with Lye Mixer:Topology Design and Control Strategy

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Energy Engineering 2024年第10期121卷 3055-3074页

作者： mingxuan chen Jun Jia Baoping Zhang Leiyan Han Mengbo Ji Zhangtao Yu Dongfang Li Wenyong Wang Hongjing Jia Huachi Xu China Three Gorges Technology Co. Ltd.Beijing101199China Sichuan Energy Internet Research Institute Tsinghua UniversityChengdu610000China China Three Gorges Renewables(Group)Co. Ltd.Beijing101125China Ordos City Hanxia Renewables Co. Ltd.Ordos014300China

The rise in hydrogen production powered by renewable energy is driving the field toward the adoption of systems comprising multiple alkaline water *** setups present various operational modes:independent operation and multi-electrolyzer parallelization,each with distinct advantages and *** study introduces an innovative configuration that incorporates a mutual lye mixer among electrolyzers,establishing a weakly coupled system that combines the advantages of two *** approach enables efficient heat utilization for faster hot-startup and maintains heat conservation post-lye interconnection,while preserving the option for independent operation after decoupling.A specialized thermal exchange model is developed for this topology,according to the dynamics of the lye *** study further details startup procedures and proposes optimized control strategies tailored to this structural *** heat from the caustic fully heats up the multiple electrolyzers connected to the lye mixing system,enabling a rapid hot start to enhance the system’s ability to track renewable energy.A control strategy is established to reduce heat loss and increase startup speed,and the optimal valve openings of the diverter valve and the manifold valve are *** results indicate a considerable enhancement in operational efficiency,marked by an 18.28%improvement in startup speed and a 6.11%reduction in startup energy consumption inmulti-electrolyzer cluster systems,particularlywhen the systems are synchronized with photovoltaic energy *** findings represent a significant stride toward efficient and sustainable hydrogen production,offering a promising path for large-scale integration of renewable energy.

关键词： Alkaline water electrolyzer hydrogen production control strategy system modeling