bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of intelligent window opening system based on multi-sensor fusion
Authors: Zhou Wenhao , Huang Yong , Sun Xianbo , Yi Jingqiao , Gao Lin , Liang Shuxian , Ye Jiancong 
Published: December 2022

Abstract
The traditional electric window opener has the problems of low efficiency and single control mode. In view of the above shortcomings, an intelligent electric window opener control system based on multi-sensor fusion is designed. The system uses data acquisition, data processing, wireless communication, remote control, and other technologies to realize the real-time monitoring of environmental status through the fusion of temperature, light intensity, smoke, rain, and other sensors. When the monitoring data reaches the set value, the intelligent window opener will automatically open or close. The whole system is based on an STM32 single-chip microcomputer and uses the ESP8266 Internet of things module to realize the remote monitoring and control of the platform. In the aspect of window opening motor control, the proportional integral derivative (PID) is used to control the DC motor for the accurate window opening. The experimental results show that the overall operation of the system is stable, the response is rapid, the sensor accuracy is high, the system error is less than 5%, and the long-term operation shows good stability and reliability.
Inverse Kinematics Solution and Trajectory Planning of Redundant Manipulator Based on Improved Gradient Projection Method
Authors: Chang Shuai , Fu Yongling , Sun Jian , Hu Zixiang 
Published: December 2022

Abstract
With the rapid development of high-speed railways, the water injection way for the train is developing in the direction of full automation. To enable the water-carrying robot arm on the train to cope with various emergencies during the operation, it is necessary to keep the robot arm more flexible. In this paper, the improved gradient projection algorithm (IGPM) is combined with the rapidly expanding random tree algorithm (RRT), and the optimal goal is to maximize the manipulator’s degradation operability and obtain a path with the best fault tolerance under the continuous joint angle. Finally, with the 4R redundant manipulator serving as an example, the feasibility and superiority of the algorithm in this paper are compared and verified through the numerical simulation method.
The design and simulation of the actuator valve block of the integrated self-powered brake system
Authors: Qiao Weizhi , Gao Xiang , Lu Honglin , Mu Wenkan 
Published: December 2022

Abstract
In recent years, regenerative braking has been gradually proposed. Modular regenerative braking devices are installed near the wheel to recover the rotating kinetic energy when landing and convert it into hydraulic energy for braking. The core part of modular and integrated design is the actuator valve block. It is necessary to organically integrate all hydraulic components of an aircraft brake system, such as the on-off valve, hydraulic pump, motor, oil tank, accumulator, temperature and pressure sensor, one-way valve, relief valve, and oil filter. At the same time, it is very difficult to ensure high reliability, high strength, and a high power-weight ratio, and the temperature near the wheel is high, which can reach about 600°C when working. This is challenging for the design of the actuator valve block. In this paper, the integrated and modular brake actuator valve block is taken as the research object, and the actuator valve block is designed and developed using new technology, new structure, and new materials. Finally, the strength, stiffness, reliability, and weight of the actuator valve block meet the requirements of the brake system.
An Extended Configuration Design of High-Throughput Satellite
Authors: Tao Cheng , Zhang Lei , Wang Yihong , Hu JiaNing , Shan YingLei , Ma Kai , Han MingFen 
Published: December 2022

Abstract
The high-throughput satellite (HTS) adopts multi-spot beam technology, which enables the satellite design process to be featured by a large number of antenna horns, large-scale arrays, heavy support structures, and complex interfaces with the transponder. To solve the layout problem of complex payloads of high-throughput satellites, this paper proposes a configuration design scheme for the satellite expansion module. With the configuration design optimization of the high-throughput satellite payload module of the DFH-4E platform serving as an example, the mechanical analysis software PATRAN was used for modeling and mechanical analysis, and the configuration was optimized according to the analysis results. The optimization results show that the configuration design scheme of the expansion module is adopted to solve the layout requirements of high-throughput payloads effectively. The relevant indicators will meet the requirements of the system. And the design scheme is reasonable and feasible, which can provide a reference for the configuration design of high-throughput satellites.
A study on the Decommissioning and Renewal Strategy of Aged Equipment with Integrated System Risk Assessment and Benefit-cost Analysis
Authors: Niu Xin , Zhang Long , Li Xuyang 
Published: December 2022

Abstract
In response to the current problem of over-aged assets in large systems and relatively weak management of over-aged equipment in power companies, this paper uses Monte Carlo simulation to evaluate the annual risk loss cost due to the use of over-aged equipment. By establishing a gray G (1, 1) forecast model of operation and maintenance cost, the future operation and maintenance cost of over-aged equipment is found. Then, according to the benefit-cost analysis, the revenue gained by delaying the renewal of over-aged equipment is calculated. Finally, the net benefit function is constructed, and the optimal value is calculated to obtain the optimal retirement year. The article uses the proposed method to study the retirement of an aged line in a network, and the results show that the method can make full use of the value of the aged assets and maximize the benefits.
Design and Improvement of Digital Communication System Based on EDA Platform
Authors: Chen Wei 
Published: December 2022

Abstract
The design of digital circuit systems based on EDA tools can greatly improve design efficiency. In this paper, a multi-mode communication signal modulation and demodulation system are designed with FPGA as the hardware carrier. Furthermore, this paper puts forward a teaching and experimental scheme of communication circuits, that is, using the EDA platform to realize different modulation and demodulation modes. The advantage of this scheme is that it can not only be realized in hardware, but also can analyze the performance accurately and that the waveform is intuitive. This scheme can make students feel the advantages of EDA Technology in complex logic circuit design. Students can understand new communication modes deeply by using EDA technology.
Operational optimization of an integrated electricity-thermal energy system considering demand response under a stepped carbon trading mechanism
Authors: Wang Yongli , Qin Yumeng , Du Boxin , Liu Yiran , Xu Shenzhi , Li Da , Wang Dong 
Published: December 2022

Abstract
To further explore the potential role of the normal demand-side in reducing carbon emission reduction, we propose an operation optimization model for integrated power-thermal plants that considers demand response under a tiered carbon trading mechanism. First, carbon emissions from the microgrid are reduced by introducing a tiered carbon trading mechanism in the planning model. Finally, an optimal model for low-carbon operation of the integrated power system is developed using the sum of power purchase cost, carbon trading cost, and operation and maintenance cost as objective functions, and the effectiveness of the proposed model is tested using four typical scenarios. The results confirm the validity and effectiveness of the proposed model and serve as a reference for optimizing the operation of integrated power and heat systems under a tiered carbon trading mechanism, taking demand response into account.
Data Quality Evaluation of Photovoltaic Power Station based on Entropy Weight Method and Grey Comprehensive Evaluation Method
Authors: Xie Hongbin , Ma Xiaoguang , Zhao Junyong , Han Bitong , Shan Yu 
Published: December 2022

Abstract
The increasing necessity of renewable energy utilization has fueled the successful development of photovoltaic power generation technology. Distributed photovoltaic power stations have been rapidly promoted because of their small installed capacity and low initial investment costs. Scientific and comprehensive data evaluation of distributed PV is conducive to improving the operational efficiency of the power station. An index evaluation system is constructed for distributed power station data in each province. The entropy weighting method is used to determine the weights of different dimensions. Then, the data quality evaluation level is contrasted with the help of the gray evaluation method. Simulations of the proposed method were conducted. Finally, the results showed that the data of the tested distributed PV were at an excellent level, which verified the applicability of the method. In addition, the causes of data quality deficiencies are preliminarily explored.
Effect of Building Height on Wind Load Characteristics of Photovoltaic Arrays
Authors: Zheng Gensheng , Yao Jianfeng , Tu Zhibin , zhou Xing 
Published: December 2022

Abstract
The present study is carried out by FLUENT software, and the wind load characteristics of photovoltaic arrays installed on different building heights are analyzed. The analysis results show that the higher the building height, the larger the radius of the main vortex formed above the photovoltaic array. When H=0 m, the absolute value of the overturning moment coefficient of the photovoltaic array is much larger than those of the array installed on the roof, and it’s along the decreasing trend of the incoming flow. The shape coefficient of the photovoltaic array shows an obvious gradient change, and as the height of the building increases, the shape coefficient of the building also follows decreasing.
Energy Demand Forecast Analysis Based on Improved Grey Forecast Model
Authors: Hu Jiankun , Chen Zhijian 
Published: December 2022

Abstract
As China is on its way to achieving its carbon peaking and carbon neutrality goals, forecasting energy demand is increasingly important. Aiming at the problem of energy demand forecasting, this paper uses the logistic equation and Markov Model to improve the traditional Grey Forecast Model. And based on the data of China's total energy consumption from 2002 to 2021 as the original data, an improved grey prediction model was established. The validity of the prediction model in this paper is verified by the comparative analysis with the prediction results of the STIRPAT and LSTM prediction models. The results show that compared with the STIRPAT and LSTM prediction models, the predicted results of the improved Grey Forecast Model have smaller relative errors, more accurate prediction results, and better prediction performance.
Optimization of new comprehensive energy service system in industrial parks under the dual carbon target
Authors: Zhang Bo , Tang Liang , Dong Ranhao , Yang Junwei 
Published: December 2022

Abstract
Given the poor effect of the current new integrated energy management service, this paper puts forward the optimization strategy of the new integrated energy service system of industrial parks under the dual carbon goal, optimizes the functions of the new integrated energy service system in combination with the dual carbon goal, standardizes the monitoring data evaluation system of the new integrated energy, and constructs the new integrated energy consumption evaluation algorithm of industrial parks. Finally, it is confirmed by experiments. The optimization method of the new integrated energy service system of industrial parks under the dual carbon target proposed has high practicability.
Nanostructures of silicon anodes in Li-ion batteries
Authors: Du Yuxuan 
Published: December 2022

Abstract
As the application scenarios of lithium-ion batteries expand to many fields including electric vehicles and wearable devices, the energy density of current Li-ion batteries should be improved for satisfying the raising demand. In recent years, various methods have been gradually intensified, in which battery anode materials have received widespread attention. One of the most effective ways for improving battery performance is the use of silicon with different nanostructures, such as structures with different dimensions and different elemental doping, as the anode material, which can effectively improve the stability of solid electrolyte layers, enhance the number of reversible cycles and reversible capacity. This review summarizes the latest advances in silicon nanostructured anodes for lithium-ion batteries including nitrogen-doped carbon-caged silicon nanoparticles, silicon nanotubes made of layered CaSiO3, layered porous silicon encapsulated in carbon nanotube cages, silicon nanoparticles encapsulated in carbon-coated mesoporous silicon shells, and three-dimensional hierarchical porous structures. These nanostructures with excellent electrochemical properties can provide directions for the evolution of high-performance lithium-ion batteries.
Implementation of TCM grid-connected inverter based on STM32
Authors: Li Jian , Ren YiFeng 
Published: December 2022

Abstract
In this paper, STM32 is used to realize the control of TCM grid-connected inverter, which replaces the traditional control mode of digital logic controller and MCU combination, and simplifies the controller structure. A simple method for calculating the negative driving voltage of gallium nitride is presented. In this paper, the circuit parameters of each part of TCM inverter are designed, and the design scheme of each part of the circuit is given. Finally, a 200W prototype is built to verify the feasibility of the design scheme.
Research on the Demand Response Model for the Peak-Shaving Auxiliary Service Market Based on Large Users
Authors: Jiang Wenqian , Zhang Fan , Zhang Kun , Li Fusheng , Lin Xiuqing , Lin Xiaoming 
Published: December 2022

Abstract
The current electricity market reform has become a historical trend. Among them, large enterprises and users will face profound changes in the characteristics of the energy market and the industry's operating environment. Through the feasibility analysis of large users' participation in demand response and based on the potential of large users to participate in demand response, this paper establishes a bidding model for large users in the peak shaving market. Finally, in combination with specific parameter settings, a case analysis of large industrial users participating in peak shaving market transactions was carried out to verify the feasibility of the built model. At the same time, the large user quotation strategy for each time under the case was obtained and analyzed.
The design scheme of a 31.5 MW mountain photovoltaic power station: a case study
Authors: Tang Jianhua , Wang Senyao 
Published: December 2022

Abstract
The development of photovoltaic power generation is of great significance to the realization of double carbon goals. The construction of photovoltaic power stations in mountain areas can save land resources. In this paper, the construction of a 31.5 MW photovoltaic power station in the mountainous area of Yunnan Province, China is analyzed in detail from the aspects of solar energy resource evaluation, and photovoltaic system design, power generation estimation, as well as economic and environmental benefits. The results show that the average sunshine radiation in this area is 5764.3 MJ/m2, which is suitable for building photovoltaic power stations. 24 units are designed with a total of 86320 photovoltaic modules, and the capacity of each module is 365 Wp. Fixed installation is adopted, and the most suitable inclination angle is 28° (south area) and 15° (north area). Correspondingly, the center distance of the front and rear arrays in the south area and north areas is 6 m and 12 m, respectively. The project is economically feasible and has significant environmental benefits.
An Experimental Study on Multiscale Conductivity of Shale Fracturing
Authors: Wang Junchao , Wang Lei , Li Jiacheng , Ma Haiyang , Ma Mingwei , Chen Chong 
Published: December 2022

Abstract
Volumetric fracturing is an effective way to develop shale oil. Fracturing forms a complex system of fractures of various scales that can be divided into micro-fractures, secondary fractures, and primary fractures. To improve the conductivity of multiscale fractures in volumetric fracturing of Jimsar shale oil, conductivity experiments were performed under such conditions as rough fractures without proppant placement, rough fractures with proppant placement, and straight fractures with discontinuous sanding, thereby studying the change law of fracture conductivity at various scales. According to the results, micro-fracture conductivity is largely affected by the roughness of the fracture face; placing proppants can significantly increase the conductivity of rough fractures; the conductivity under the condition of discontinuous sanding is highly sensitive to stress; fractures with discontinuous sanding of an area of 40% show the best conductivity.
Electric Energy Monitoring Node Design Based on NodeMCU and MQTT Protocol
Authors: Sun Jinhua , Lin Jiayuan 
Published: December 2022

Abstract
Intelligent electricity management systems can be widely used for monitoring the regional power consumption of enterprises, factories, campuses, properties, etc. To meet the current demand of electricity consumers for monitoring the power data of each node, a node design method based on Modbus and MQTT protocols for monitoring power consumption has been proposed. It can monitor the power, current, voltage, electricity, and other related parameters of the power nodes so that the electricity consumers can control the electric energy data of each power node in real time. The test results show that the node scheme can effectively monitor the data of each power node and realize the real-time monitoring of power consumption data, which shows that the design scheme is effective and feasible.
Characteristic Analysis of Irregular Workpiece Based on Electromagnetic Induction Heating Technology
Authors: Wang Qiuqiang , Wang Liping , Song Xingen , Qi Zhiqiang 
Published: December 2022

Abstract
Simulation of coil electromagnetic heating provides an effective model basis for a temperature control system. However, due to the irregularity of industrial heating molds, they cannot meet the model requirements. In this paper, based on the research of electromagnetic heating of thin plates, hypothesis research is carried out. Bony plates and cylinders in fixed positions on thin plates are defined as irregular workpieces. Taking the influence of cylinder height on temperature as the research direction, the temperature distribution on the surface of workpieces is explored, and the influence of different parameters on the simulation results is analyzed, which provides a simulation analysis method and data support for the electromagnetic heating system of irregular workpieces under this model and follow-up researchers.
Research on Distributed Resource Aggregation Technology Based on Hierarchical Agglomerative Clustering Analysis
Authors: Ling Xiaobo , Tu Qi , Jin Minjie , Wang Weihong , Cui Yong , Zhu Jianan 
Published: December 2022

Abstract
With the rapid development of distributed resources such as wind turbines and photovoltaics in the power system, intermittency and volatility will directly impact the security and stability of the power grid and power transactions. This paper combines the principal component analysis method and hierarchical agglomerative clustering algorithm to analyze the output characteristics of distributed resources. According to the Davies-Bouldin index to evaluate the clustering results, the typical characteristic output curves of distributed resources are obtained. Then the typical curve is used to represent the distributed resources for aggregation. Based on daily peak-valley difference and power fluctuation index, the comprehensive results are judged and the optimal solution is selected. Finally, an example with eight distributed resources is given to verify the effectiveness of the proposed method.
An Analysis of Li-ion Traction Battery System Thermal Simulation Based on Simplified Pipeline Fluid Model and Liquid Cooling Enhancement
Authors: Wang Bing , Ou Yang , Wang Peng , Li Zhengbo , Zhang Yuanwei , Zhang Xujian , He Xiangming 
Published: December 2022

Abstract
In recent years, while the “decarbonized economy” is being practiced globally, the ownership of new energy vehicles has been increasing rapidly. During the development of new energy vehicles, the design of thermal management systems has been underlined. Developing an effective and energy-saving battery thermal management system is an important factor in guaranteeing the high performance of new energy vehicles. This article dissects the electrothermal coupling performance of the battery pack based on finite element methodology and proposes a liquid cooling layout of the battery cooling system with an optimized cooling effect. The research reveals that: (1) By constructing a multi-dimensional electrothermal coupling model consisting of a one-dimensional electrochemical model, one-dimensional pipeline fluid model, and three-dimensional heat transfer model, the electrothermal performance of the battery pack can be simulated efficiently and further improvement can be established on its liquid-cooling system. (2) During the discharging process, the central temperature of the battery pack is significantly higher which reaches 45°C with a 2C discharging rate. (3) The liquid-cooling pipelines on the side can efficiently reduce the temperature of the battery pack. With an increasing flow rate of the coolant, the average temperature of the battery pack is reduced while the maximum temperature difference is increasing instead; with a certain flow rate, increasing the radius of the pipe would lead to a decrease in maximum temperature and the maximum temperature difference within the battery pack.
Research on high-proportion distributed photovoltaic access planning method considering voltage over limit risk
Authors: Zhu Dandan , Zhou Qian , Wang Chenggen 
Published: December 2022

Abstract
The current distributed PV access planning method mainly controls the access capacity, ignoring the impact of different access locations on the distribution network operation, which leads to the inability of PV to be fully consumed and generates large disturbances. To improve the utilization efficiency of PV power generation and solve the above-mentioned shortcomings, a high-proportion distributed PV access planning method that considers the risk of voltage crossing limits is studied. After analyzing the changes in distribution network operation characteristics after accessing a high-proportion distributed PV, the voltage crossing risk is estimated by calculating the network current. Multiple optimization objectives including voltage crossing risk are established to build the access planning model. The access planning results are obtained by solving the model with the multi-intelligence algorithm. After the distribution network experiment, the method considering the voltage crossing risk improves the PV consumption by about 18.3%, the connected PV generates less disturbance to the distribution network, and the access point is better.