bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Study on the Boundary of Karst Spring Basin: Take Ji’nan Spring Basin as an Example
Authors: Zhang Manqi , Shu Longcang , Du Xiaofeng , Han Gang , Chen Yuan 
Published: July 2021

Abstract
The accurate determination of spring area boundary position and boundary property is an important link to establish a correct hydrogeological conceptual model, and is the fundamental guarantee of the accuracy of groundwater resource calculation results in the spring area. In view of the two perspectives of the east-west boundary of Jinan spring basin, the sand tank model of the fault-watershed region was built based on the characteristics of karst aquifers. The experimental scenarios were dominated by changing the precipitation intensity and duration time. The experiment results under different scenarios were analyzed and the characters of the boundary were preliminarily investigated. The results show that about 30% ∼ 40% of the atmospheric precipitation is converted into surface runoff, and 50% ∼ 60% of that is converted into fissure karst water. The water balance can be correctly calculated only by accurately identifying the water flow direction and amount of sources and sinks of the region.
Sensitivity analysis of advanced cement-based grouting parameters in tunnel soil structure
Authors: Zhang Hongbin , Wang Shuai , Ma Shuai , Liu Gao 
Published: July 2021

Abstract
Advanced support is the key measure for tunnel passing through the weak broken surrounding rock. As a common advanced support method, advanced small conduit grouting technology can improve the physical and mechanical properties of rock mass, enhance surrounding rock parameters, and effectively suppress the deformation of surrounding rock. Based on a diversion tunnel project in the west of China, this paper comprehensively evaluates the sensitivity of the physical parameters of grouting reinforcement based on the multi-factor sensitivity analysis method, in order to provide reference for the optimization of advanced grouting reinforcement scheme.
Study on Underwater Anti-washout Concrete in Sediment Environment for Offshore Engineering
Authors: Shang Ningning , Kang Shaowei , Cui Cancan , Han Zhongzhi , Zhou Wei , Guo Xiaojun 
Published: July 2021

Abstract
The close packing theory is used to optimize the cementitious material system of ordinary underwater anti-washout concrete, and the performance of the prepared concrete is verified through experiments. The test results show that the tightly packed underwater anti-washout concrete with C40 mix ratio is cured under the condition of seawater curing., 7d compressive strength of 31.4MPa, 28d compressive strength of 55.3MPa, 56d compressive strength of 68.7MPa, electric flux of 860C, meeting the requirements of marine engineering concrete’s mechanical properties and resistance to harmful ion erosion.
Study on Dynamic Adjustment Method of Power Grid Critical Peak Periods Considering Load Characteristics
Authors: Liu Dunnan , Li Hua , Wang Lingxiang , Zhang Tingting 
Published: July 2021

Abstract
In order to promote the effective implementation of the critical peak pricing (CPP) mechanism, it is necessary to study the dynamic adjustment method of critical peak periods. In this paper, a dynamic adjustment method of critical periods based on FCM algorithm is proposed. First, the peak day of the peak month is selected according to the peak load. Then based on FCM algorithm, the peak periods of peak day are redivided into critical peak periods and peak periods. Finally, the effectiveness of the method is verified by a numerical example.
Research and Application of Construction Method of Power Grid Dispatching Professional Corpus
Authors: Zhang Yue , Hai Wei , Hao Feng , Shan Lianfei 
Published: July 2021

Abstract
The existing word segmentation tools are difficult to effectively segment the scheduling professional corpus, which leads to the problem of limited application of scheduling professional corpus. A method is proposed for constructing a professional corpus for power grid dispatch based on natural language processing and artificial intelligence technology. Faced with data of various structures and forms, the different methods are applied to establish the recognition model for scheduling professional corpus. The scheduling professional corpus is recognized in database and document table based on rule mask. The entity recognition and relation extraction technology are used to extract professional corpus in text. The scheduling instruction corpus is formed by determining the operation intention and slot of the dispatcher. Finally, the similarity between the scheduling professional corpus are calculated based on the text similarity algorithm, and the semantically identical corpus is formed into a mapping relationship. The application results show that the automatic speech recognition model based on the scheduling professional corpus has higher recognition accuracy and is suitable for practical applications.
Cause Analysis and Treatment of Slurry Foaming in Desulfurization Absorption Tower of 300MW Unit
Authors: Wu Jianxun , Xue Fangming 
Published: July 2021

Abstract
In view of the serious slurry foaming and overflow problems in the flue gas desulfurization system of a company in Shandong, the causes were analyzed and improvements were made on the basis of the original process. The results show that the inadequate combustion of the intermediate ash of the boiler and the high concentration of organic matter in the desulfurization process water are the main reasons for the slurry foaming; after improving the boiler operating conditions and adding defoamers, the boiler fly ash contains carbon The circulating pump current returns to normal levels, the desulfurization efficiency is increased from 97.2% to 99%, the power consumption of the circulating pump is reduced from 380 kWh to 316 kWh, and the moisture content of desulfurized gypsum is reduced from 16% to 9.5%.
Research on Video Detection Method of Moving Target Oriented to Substation
Authors: Tian Ye , Yu Cunzhan , Xie Fei , Gao Song , Ru Manhui 
Published: July 2021

Abstract
With the promotion of unattended substations across the country, intrusion detection technology for people in important areas of substations has become an important research area. This article focuses on the problem of personnel entering important areas of substations for the purpose of man-made destruction, and proposes an improved two-frame difference method A moving target detection method combined with the background subtraction method. This method is based on the two-frame difference method, taking into account the impact of changes in illumination, and avoids the image sequence by combining the difference map of the background subtraction method and the two-frame difference method. The “double shadow” phenomenon caused by the difference method can also avoid the situation that the background subtraction method misjudges the sudden change of light as a moving target, improves the recognition accuracy, and can meet the real-time requirements of the substation intelligent monitoring system.
Wind Turbine in Renewable Energy System in Navigation Technology
Authors: Zhang Rongjun 
Published: July 2021

Abstract
Advances in science and technology promote the use of more equipment in marine engineering. This equipment will undoubtedly increase energy consumption significantly. If only solar energy is used for charging, it may be able to charge in time to meet the demand when the sun is sufficient. In case of rainy weather, it will cause the navigation mark battery not to be charged in time, causing the equipment on the navigation mark to fail to work normally. For this reason, offshore wind power, as a renewable energy source, can make up for the lack of solar power for marine projects. In view of this research background, the paper studied the coherence effect between the blade and the tower wind field based on the wind turbine structure characteristics and the random wind power spectrum characteristics, and proposed the harmonic superposition method (HSMBTI) considering the interaction between the blades and the tower. This method is used to numerically simulate the random wind speed time history of the random wind field of the wind turbine structure, and check the calculated power spectrum and the target spectrum, which verifies the applicability of the HSM-BTI method to the random wind speed time history simulation of the wind turbine structure.
Transient analysis of 1200kV DC generator charging process
Authors: Li Yu 
Published: July 2021

Abstract
UHV power transmission technology is already under development and its economics. It is necessary for my country to develop UHV. One of the three key technical issues of UHV power transmission technology is UHV insulation and requirements. In order to ensure the safe and stable operation of UHV DC equipment, UHV DC test equipment must go ahead, and the stable operation of the 1200kV UHV bipolar DC generator itself as the main power supply of the test line is very important. This article first carried out the modeling and design of the bipolar high voltage DC generator, and then used the electromagnetic transient analysis program ATP-EMTP to simulate the charging process of the generator and analyze the transient state. The transient characteristics of the generator were analyzed. Influencing factors.
Design of hard carbon anode with low specific surface area and low porosity in sodium ion battery
Authors: Gao Yifan 
Published: July 2021

Abstract
Among various anode materials, such as hard carbon, which as the most promising material, has shown great advantages in terms of reserves, initial coulombic efficiency and cycle stability. By studying the mechanism of storing sodium ions in hard carbon, it is found that the specific surface area and porosity of hard carbon are the key factors that affect hard carbon as a battery anode material. Hard carbon is obtained by setting different precursors and different pyrolysis temperatures. These carbons have different surface areas and porosities. The electrochemical performance was tested separately, and the results show that hard carbon materials with low specific surface area and low porosity usually showed higher initial coulombic efficiency (ICE), superior rate performance, larger reversible capacity and stronger cycle stability. This is because the hard carbon with low specific surface area reduces the contact area between the electrode and the electrolyte, thereby reducing the loss of sodium ions. In addition, the micropores on the surface shorten the diffusion distance of sodium ions. Also, the resulting low-defect structure has a high degree of graphitization and a good degree of order, which enhances electrical conductivity, increases reversible capacity, and makes the structure more stable. This article introduces several types of methods for constructing hard carbon anode with low specific surface area and low porosity, and by influencing the internal structure of the electrode, thereby enhancing ICE and other properties. This provides a new idea for constructing anodes with superior performance.
Design and performance evaluation of a submerged floating tidal current power generation device
Authors: Zhou Xu , Wang Dazheng , Guo Bin 
Published: July 2021

Abstract
Due to the difficulty and high cost of offshore power supply, there are still many remote islands which have not been fully developed and utilized. In order to solve this kind of problem, a new type of marine current turbine (MCT) power generation device was designed for Tuoji Island, Changdao County, Shandong Province, which is convenient for installation and maintenance. This paper presents both the prototype design and model test verification work. Limited by the size of circulating water channel, the test model was modeled and manufactured under the scale of 3:100, which means the turbine model is not able to meet the small scale geometry similarity and gravity equivalent at the same time. A light circular plate was designed to replace the resistance of the turbine as equal by means of CFD. Then it combines the main body and the equivalent disc to complete the mooring test, observing the attitude response of the device under different angles of current. On the basis, the hydrodynamic performance of the whole device model was observed under different inflow speeds and angles. The results of the model tests indicated that the prototype is relatively stable under the design condition.
Research on Tower-Type Solar Photothermal Power Generation Technology
Authors: Fang Yueyun , Zhu Yingying , Huang Renlong 
Published: July 2021

Abstract
China has abundant solar energy resources and a huge market prospect. Tower-type solar power generation technology has high solar energy conversion rate and great room for improvement in power generation efficiency, so it is widely used in power stations. This paper analyzed the characteristics and status quo of various tower-type photothermal generation technologies, found that the tower-type molten salt power generation technology is an excellent power generation technology, and analyzed the characteristics and potential risks of this technology. The research results can provide references for research on tower-type solar power generation technology.
Research on Energy Management of Microgrid in Power Supply System Using Deep Reinforcement Learning
Authors: Jin XianZhi , Lin Fei , Wang Ye 
Published: July 2021

Abstract
Aiming at the energy storage scheduling problem of microgrid system with wind power generation, this paper proposes an energy management strategy of microgrid based on deep reinforcement learning. In order to analyze the influence of different scenario combination models on the microgrid energy storage dispatching strategy, taking the residential user microgrid system as an example, a microgrid dispatching problem environment model was constructed. In the case of changes in multiple factors such as power generation and load, the coordinated control of compound energy is a complex optimization decision-making problem. Different schemes may affect the stability of the system’s power supply, utilization efficiency and economic benefits. To this end, this article uses three deep reinforcement learning algorithms and compares them with experiments. The results show that there are obvious differences in the ability of deep reinforcement learning algorithms to converge to the optimal strategy, but it also proves the feasibility and effectiveness of deep reinforcement learning in the coordinated control of composite energy storage problems, which has strong academic significance and engineering value, and can be used to deal with similar problems.
Application of improved EEMD algorithm in Low Carbon HVDC transmission line detection
Authors: Gao Ming , Xu Jian 
Published: July 2021

Abstract
In electronic detection and signal processing, the convenient and practical EEMD algorithm is generally selected. In this paper, the problems of the algorithm in some specific areas are improved. By adding white noise, the white noise is replaced by the white noise with opposite positive and negative amplitude, and the Schmidt orthogonalization theory is used to process each signal to eliminate the influence of modal function and improve the signal quality Anti mode aliasing ability, improve the level of multiple harmonic decomposition.
Electrical power systems energy saving and consumption reduction through transformer capacity and operation scheme
Authors: Mu Xingchen 
Published: July 2021

Abstract
on the basis of summarizing the power loss of transformer, based on the optimal load rate of transformer or the principle of minimum comprehensive energy efficiency cost[1], the transformer capacity can be reasonably selected, so as to effectively reduce the increase of operation cost caused by too large or too small transformer capacity selection, and improve the energy saving and economy; After the transformer is selected, the economic operation scheme of the transformer can be used to arrange the operation[2], including making the transformer work in the economic operation section, economic switching among various operation modes of the transformer, economic distribution among transformer loads, etc.
Design of the Monitoring System for Power Distribution Area by Clean Energy Intelligent Integration Terminals
Authors: Hou Zhe , Sun Xin , Ju Zeli , Li Zhe , Niu Quanbao , Liu Shulin 
Published: July 2021

Abstract
Power distribution area is an important part of low-voltage distribution network. Because of its wide distribution and complex environment, it often causes large area blackout or even worse. As the core equipment in the automation construction of low-voltage distribution network, the monitoring and management level of distribution network will be directly affected by the performance of intelligent transformer terminal. The traditional intelligent transformer terminal and concentrator belong to the two departments of operation and distribution, and there are some problems, such as non-sharing of data, duplication of functions, increasing the workload of operation and maintenance. In view of the above defects, this paper puts forward the concept of intelligent integration terminals, which has the functions of intelligent transformer terminal and concentrator. Based on this terminal, a set of power distribution area condition monitoring system is designed, which can realize the function of low-voltage distribution station area condition information monitoring, low-voltage line topology identification and branch line loss analysis. While the construction cost of power distribution area is reduced, the intelligent management level of the low-voltage distribution network can also be comprehensively improved.
Research On Energy Distribution of Multi-Scene Hydropower System Through Improved Power Load Optimization Strategy
Authors: Zhao Yulong 
Published: July 2021

Abstract
Taking the minimization of coal consumption in hydro-thermal power system as the objective function, this paper focuses on the static water abandonment strategy and improved dynamic water abandonment strategy, given the constraint conditions of hydropower station generation flow, reservoir water quantity, load balance constraint and power constraint. in this paper, the penalty cost of abandoned water is introduced into the existing model, and a short-term electric power balance model considering the cost of abandoned water is established. In view of the deficiency that it is difficult to effectively obtain feasible solutions that meet large-scale and complex constraints in the process of solving the model, the premature convergence and local optimization of the algorithm are avoided. An optimization algorithm is proposed to provide reference for solving the problem that the calculation efficiency of optimal dispatching of large-scale hydropower stations is the problem faced by hydropower and power system operation.
Analysis and Research on Forecasting Electricity Demand Based on ARMA and VAR Model
Authors: Yang Liping , Pang Jian 
Published: July 2021

Abstract
This paper uses the relevant data from the official website of the National Bureau of Statistics of China from 1980 to 2017, and uses the ARMA model and VAR-based co-integration analysis to predict the electricity demand from 2018 to 2020, making the forecast data more convincing. Besides, this paper uses unit root test, Granger causality analysis, Johansen test and other co-integration analysis methods to empirically study the determinants of China’s electricity demand, and establish a longterm equilibrium and its fluctuation relationship between electricity demand and GDP, urbanization rate, industrialization rate, and electricity use efficiency. The forecast results were compared and analyzed, and corresponding policy recommendations were put forward to provide data support and reference for the future development of China’s power industry.
Gas-phase elemental mercury removal by bamboo charcoal impregnated with KMnO4: mechanism study
Authors: Tan Zengqiang , Niu Guoping , Li Yuanhao , An Xiaoxue 
Published: July 2021

Abstract
Bamboo charcoal is made from biomass with porous structure. The performance of bamboo charcoal (BC) and KMnO4-modified BC was studied with a bench-scale fixed-bed reactor. X-ray photoelectron spectroscopy, X-ray diffraction, elemental analysis and BET surface area analysis were used to determine the physical and chemical property of the sorbents. The results show that the modification increased the oxygen functionalities and π electrons, which facilitate the mercury oxidation on sorbent surface and act as possible active centers for elemental mercury.
Simulation and optimization control plan model for fungus monitoring
Authors: Lan Chenrui , Zhu Tianyu , Liu Ning , Wang Jiaqi , Zhang Yujie 
Published: July 2021

Abstract
In order to effectively monitor and analyze the growth of fungi,this paper established a mathematical model to deal with it. First of all, we selected a Monte Carlo simulation model to simulate according to temperature and humidity to get its possible distribution. Secondly, on the basis of the previous model, we simulated the decomposition agents with different growth rates and different moisture resistance respectively, and finally got their relevant distribution. Third, we selected a grey prediction model to simulate the situation of different fungi separately, and got their specific distribution predictions. At the same time, it is described by the corresponding growth characteristics of different types of fungi, and their sensitivity is used to explain the impact of different weather. Finally, we established a principal component analysis model to analyze the data of different fungal communities, and estimate the growth of the fungi through temperature, humidity, etc., so as to clarify the biodiversity level of different fungal communities and give their impact.
Research on Over-temperature Online Rapid Early Warning Methods of Oil-immersed Transformer under the Condition of Three-Phase Unbalance
Authors: Chen Tao , Xiao Yingtao , Zheng Shuwei , Zhang Jinfeng 
Published: July 2021

Abstract
The number of oil-immersed transformers in the distribution network is huge, and the real-time electrical quantity information of a single device is little in number and longer in period in comparison with the main network device. Owing to the randomness of the load, the transformer has long been dynamic three-phase unbalance. The short-term emergency load formed by the rapid rise of residents’ load in summer and winter causes the hotspot temperature of the single-phase winding to rise, the insulation quickly ages, the operating life suffer serious losses, and even cause the transformers in the area to be burned out in large areas. On the basis of the existing data resources, the feasible judgment methods is made from the overall interests, which can avoid damage of the equipment and inform the operating personnel of the residual margin simultaneously. This paper fully proposes the over-temperature online early warning method of oil-immersed transformers under three-phase unbalance, analyzes the compatibility of various commonly used three-phase unbalance algorithms and the hotspot temperature of winding, establishes the logic model of transformer over-line and abnormal warning, and assesses the life loss during the extreme operation of the equipment for reliability. The results of the calculation examples show that the research on the over-temperature online early warning method of oil-immersed transformer under the condition of three-phase unbalance has the capacity to prevent extensive burning of equipment and predict the extreme residue of the transformer.