bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Luminescence Properties of K2MgSiO4:Mn4+ Phosphor
Authors: Chen Dai , Li Zhisen , Wen Yan , Man Shiqing
Published: April 2021

The K2MgSiO4:xMn4+ phosphor was synthesized by high temperature solid-p hase method and its luminescence characteristics were explored. The X-diffraction patt ern measured by the X-ray diffractometer matched well with the international standard card. The synthesized sample is a pure phase crystal, indicating that the doping of Mn 4+ has not changed The crystal structure of K2MgSiO4. Through the excitation and emi ssion spectra measured by the fluorescence spectrometer, it can be seen that the sample has 4 excitation peaks at 368nm, 422nm, 451nm and 534nm, and the maximum emissi on peak of the sample is at 654nm. By changing the doping concentration of Mn4+ ion s, it is found that as the Mn4+ concentration increases, the luminescence intensity of the sample increases, and finally the concentration quenching occurs after the concentrati on exceeds 1%. The chromaticity coordinates of the emission of the sample were meas ured to prove its role in the market. The chromaticity coordinates of the sample are loc ated in the red light zone and are close to the standard red light. The fluorescence lifeti me of Mn4+ transition on the D layer in the sample is about 0.2ms.
Research and Analysis on Adaptive Model Identification of System Parameters Based on Sports Safety Model for Children with Different Physique
Authors: Yang Chunhua , Zhang Wanjun , Gou Xiaoping , Zhang Yunli , Guo Qiurong , Li Bingze
Published: April 2021

There are differences in the safe heart rate of children with different constitut ions when exercising. To study the suitable heart rate of children with different constit utions for reasonable exercise provides scientific and effective guarantee for children. Through the establishment of model system parameter identification for children with different constitutions who exercise and keep fit, the model system parameter adaptive model identification for children with different constitutions who exercise and keep fit and other types of sports crowd parameter identification are further studied. Through t he analysis of parameter adaptive model identification, the safe heart rate of children w ith different constitutions and genders is obviously different during sports. In order to e nsure the safety and effectiveness of their sports, children with weak constitution and o bese children should be treated differently in groups and genders when arranging child ren’s sports fitness and training plans. The simulation results verify the feasibility and e ffectiveness of the parameter adaptive model identification method.
Application of new carbon fiber material in sports equipment
Authors: Wang Feng
Published: April 2021

The application of a large number of carbon fiber composite materials in competitive sports improves the level of competitive sports and promotes the development of sports. Select the carbon fiber composite matrix to optimize the design of sports equipment structure, and obtain the optimal form, thickness and number of layers of reinforcement grid; based on the obtained information and number of layers of reinforcement grid, establish the finite element model of sports equipment reinforced plate, analyze the relationship between the stability of sports equipment reinforced plate and bending stiffness, obtain the optimal structure of stiffness in the design space of sports equipment, and complete the optimization of stiffness.
Practical application of advanced bioengineering plastics in sports facilities and fitness equipment
Authors: Lei Genghua
Published: April 2021

As a new type of engineering material, advanced bioengineering plastics have been gradually applied in sports equipment for its properties, common materials, and advanced bioengineering plastics. The application and performance advantages of advanced bioengineering plastics in sports equipment and protective equipment mainly include: low density, high strength, strong toughness, not easy to be corroded and aged, and easy to be processed and formed, etc. In this paper, the future development space of plastic composite materials is further analyzed, and some feasible application strategies are put forward, in order to provide some feasible references for relevant practitioners.
Research and Design of Fast and Light Bearing Gripper Manipulator Summary
Authors: Li Sipan
Published: April 2021

This article is based on the situation that domestic and foreign bearing manufacturers still need a lot of labor costs to complete the finished bearing grabbing and recycling after bearing assembly. A fast and lightweight finished bearing grab robot is developed and designed, and it has a lightweight and flexible robotic mechanism. Based on the physical characteristics and objective indicators of the grasping object, carries out lightweight structural design of the manipulator and completes the modular design of important joints, parts, and connection components.
Performance Characterization of Composite Powders for 3D Printing
Authors: Bi Xiangjun , Zhao Hongjie , Gong Yuanxun , Zhou Xinghong
Published: April 2021

In order to meet the requirements of wave-absorbing and stealthy functions, it is necessary to develop high performance absorbing structures and special materials. This paper introduces the performance characterization of the powder mixed with acetylene black and nylon. It characterizes the mixed state, rheological property and the thermal conductivity of the material using optical microscope and rheometer, and thermal analyzer. The experimental results show that when the content is 5% and 7%, the result is the higher melt index, the significantly reduced specific heat capacity and the small printing process window. And the SEM images of the printed parts also show relatively loose structures. Therefore, it is recommended that the content of acetylene black composite powder should not exceed 5%.
Preparation of New Polymer Nanocomposites and Analysis of Their Superhydrophobic Properties
Authors: Wang Wei
Published: April 2021

As an important branch of the superhydrophobic research field, polymer/nano composite superhydrophobic materials have broad application prospects in anticorrosion, self-cleaning and oil-water separation. In this paper, a polymer-based nanocomposite superhydrophobic coating was prepared by a simple method, and its microscopic morphology, wettability and other related properties were characterized and analyzed. The SiO2/PS and SiO2/PVC superhydrophobic nanocomposite coatings were prepared by spin coating. The method is simple, easy to implement, low in cost, and does not require special equipment and harsh conditions. The addition of hydrophobic nano-silica reduces the surface energy of the coating while increasing the surface roughness, without the use of low surface energy substances. The coating exhibits excellent acid and alkali corrosion resistance, and is suitable for a variety of substrates. It can be used as an anticorrosive coating for metal protection and has a good application prospect.
Design and Experiment of Dross Scooping Robot for Slag Scouring of Aluminum Ingot
Authors: Zhang Xing , Wang Song , Li Xingyou , Wang Fuqing
Published: April 2021

In the metallurgical casting industry, the dross removing process is the most critical process that affects the casting quality of aluminum ingots. At present, the dross removing operation is mainly done manually. In order to reduce the labor intensity of workers, researchers at home and abroad have designed a variety of dross-removing robots to replace manual labor to realize automated dross-removing operations. However, the dross removing robots currently on the market all have problems such as unsatisfactory dross removing effect, poor working stability, and unclean slag removal. In order to solve the above problems, this article starts from practical applications, based on functional design and safety design, through the structural design of the slag scraper, the experimental analysis of applied materials and the optimal design of the robot trajectory, a set of The dross picking shovel is required by industrial applications. Finally, the practicality of the dross removing robot verifies the practicality of the designed dross shovel, which is an important step for the intelligent development of the entire metallurgical casting industry.
Memory characteristics of room-temperature multiferroic hexaferrite Sr3Co2Fe24O41
Authors: Wu Chongsheng , Liu Qian , Qi Binghao , Zhang Huaiwu , Liu Yingli , Harris Vincent G.
Published: April 2021

We prepared the room-temperature magnetoelectric hexaferrite polycrystal Sr3Co2Fe24O41 by the conventional solid-state reaction, the maximum magnetoelectric current of |J| = 8.8 μA/m2 was obtained at about μ0H = 12.9 mT. Furthermore, We obtained a stronger magnetoelectric effect when the remnant magnetization direction was the same with the scanning field than in contrast. The most important, we have demonstrated a type of room-temperature nonvolatile memory based on this characteristic. The magnetoelectric current |J| is employed to store binary information. By applying positive and negative magnetic field pulses, |J| achieved repeatable nonvolatile switching between high and low states. Our work enriched the magnetoelectric effect of multiferroic hexaferrites and provided a new idea to implement next-generation nonvolatile information memory devices.
Structure Optimization and Sealing Performance of Double Corrugated Self-Sealing Composite Gasket
Authors: Tan Wei , Xu Jinya , Zhou Xin , Deng Wenfei , Yu Xiaoming , Zhang Bin , Wang Xiao , Zhang Chun
Published: April 2021

A self-sealing nickel-titanium (NiTi) alloy double corrugated composite gasket was designed. The number of corrugation (5-7), the amplitude of corrugated (0.2-0.4 mm), the thickness of corrugated skeleton (0.5-1.0mm) and the seam width (0.2-0.4 mm) of the composite gasket were selected to design a four-factor and three-level experimental scheme by orthogonal experimental method. The ANSYS finite element software was used to study its compression resilience and sealing performance. The statistica software was used to process the data by multi-factor analysis of variance. The results showed that the corrugated number was the most significant factor affecting the resilience rate, and the slot width was the most significant factor affecting the compression rate. The optimal scheme for the resilience performance was obtained. The sealing performances of self-sealing composite gasket and common corrugated composite gasket were compared. The results showed that self-sealing composite gasket had better sealing performance.
Synthesis and Characterization of O-Diphenol Triazine Microporous Polymer
Authors: Zhou Zhicun , Lu Dunxia , Feng Yongxin , Dong Liming
Published: April 2021

A novel O-Diphenol Triazine Microporous Polymer was successfully synthesized by the one-step Friedel-Crafts reaction of cyanuric chloride and 1,2-Dihydroxybenzene(catechol) in the presence of dichloromethane and anhydrous AlCl3 as solvents and catalyst, respectively. The polymer was characterized by FTIR, 13C CP/MAS NMR, XDR and TGA. The study found that the polymer is an amorphous structure containing trace amounts of quinines. The polymer has good thermal stability, and the 5% weight loss temperature is 260 °C under nitrogen conditions. The surface area of the polymer is 154.08 m2/g, the pore diameter is 5.55 nm and its distribution is mainly in the mesoporous region by adsorption-desorption of N2 at 77 K.
Preparation and Optical Properties of Cr3+ Doped CaAlBO4 Red Phosphor
Authors: Wen Yan , Li Zhisen , Chen Dai , Man Shiqing
Published: April 2021

Calcium acuminate matrix (CaAlBO4) was prepared at temperatures 1160°C by soild state reaction, a spectroscopy analysis of Cr3+ doped CaAlBO4 based on excitation spectrum and emission spectra was performed. Broad band excitation spectra are observed with 414 nm and 553 nm. respectively owing to the 4A2→4T1 and 4A2→4T2 transition of Cr3+ ion, and emission spectra with the strongest emission peak 694 nm owing to the 2E2→4A2 transition of Cr3+ ion. Also, the influences of the concentration of Cr3+ ion on the luminescent properties in CaAlBO4 compounds were investigated, which the optimal concentration is 0.5mol%.
Experimental study on smart concrete based on resistivity and damage monitoring
Authors: Fan Xuefeng , Shang Jianguo , Zu Jinlong , Chen Yuhong
Published: April 2021

This paper investigates the correlation between strain and the electrical resistivity of smart concrete. During applying an axial compression load to the smart concrete, the electrical resistivity and the ultrasonic velocity penetrating the samples are collected. According to the piezoresistive characteristic, the damage index of the smart concrete can be determined with the electrical resistivity and the ultrasonic velocity. Eventually, it concludes that the smart concrete is more suitable to measure the damage of a concrete structure
Recent developments of nanotechnology in tissue adhesives
Authors: Yang Qihua
Published: April 2021

The high incidence of wounds coinciding with the current limitations of available treatments have established a high demand for novel and innovative approaches for wound healing. As a result, tissue adhesives, a promising substitute for traditional wound healing procedures, have lately gained great interest in clinical use. As most of the tissue adhesives are hydrogel-based, however, their behavior is severely weakened by the fragility of hydrogel. Recently, researchers have investigated the potential usages of nanoparticles (NPs) as promising candidates for addressing wound treatment and have managed to discover remarkable, enhanced nanotechnology-based adhesive hydrogels. In this review article, our chief focus is highlighting the latest advances in the usage of nanotechnology in tissue adhesives. In particular, we emphasize two fields in which nanotechnology is employed: the possibility to enhance the mechanical and biochemical properties of tissue adhesives as well as the new functions enabled by NPs, including regenerative ability and accelerated wound healing. We also explore unmet demands and potential future research directions of current technologies, while discussing promising strategies to promote wound-healing procedures.
Fabrication and Photocatalytic Properties of Bi2O3/SiO2 Electrospun Nanofiber Membranes: Implication for Wastewater Degradation
Authors: Wang Hongmian , Chen Jiawei , Wu Jiahao , Feng Ying , Guan Jiankang , Dou Yongshen , Liu Sanmao , Tu Shunheng , Li Yongfeng
Published: April 2021

The Bi2O3 nanostructures with narrow band gap and strong photoresponse to visible light were used to couple with SiO2 by electrospinning method, to prepare Bi2O3/SiO2 nanofiber membranes. Compared to pure Bi2O3 powder, the as-prepared photocatalytic membrane is more convenient to recycle. Moreover, Bi2O3 active components are evenly dispersed on the SiO2 fiber membrane by electrostatic spinning. Furthermore, the Bi2O3/SiO2 electrospun nanofiber membrane calcined at 340°C can maintain a high purification rate of 84% in the test.
Simulation Research on Heat Dissipation of the Inner Tank of Household Electric Cooker Based on Fluent
Authors: Yang Chenglong , Li Jiacheng , Cao Jiamin
Published: April 2021

Aiming at the problem of heat loss from the inner pot of the rice cooker, based on theoretical analysis and CFD simulation technology, this paper establishes a three-dimensional model of the inner pot of the rice cooker, uses the SCDM model analysis in Fluent, and performs grid division and fluid calculations. Adding a reflection layer and a vacuum insulation layer to the outer wall of the inner tank can effectively reduce the heat dissipation of the inner tank, which provides an important reference for the improvement of household rice cookers.
Integrated control technology of photovoltaic reactive power with source network coordination based on Multi-Agent Technology
Authors: Li Zhe , Tang Chenghong , Liu Cheng , Chen Yonghua
Published: April 2021

With the rapid development of photovoltaic power generation technology, its participation in reactive power control of distribution network technology has been widely concerned. However, photovoltaic output has great volatility and randomness, which also brings challenges to the security and stability of distribution network reactive power regulation. Firstly, considering the topology of photovoltaic power generation unit and the demand response of the grid point, the reactive power model of distribution network including photovoltaic power generation is established based on source grid coordinated regulation. Then, on the basis of the above research, a source-grid cooperative photovoltaic reactive power double-layer regulation model was established. These include the upper-level control model responding to grid reactive power control demand, and the lower-level control model uses particle swarm optimization algorithms to allocate and control the upper-level demand for each photovoltaic power generation unit. Finally, based on IEEE33 distribution network model, it is verified that the proposed method can effectively solve the impact of photovoltaic output fluctuation on reactive power regulation and control of distribution network.
High-power RTG simulation prototype based on skutterudite
Authors: Wu Chunyu , Liu Yang , Ma Dong , Li Yang , Yang Shuaifei , Zhao Jiawei , Jin Yang , Liu Shichao
Published: April 2021

In this paper, a simulation prototype of a high-power radioisotope thermoelectric generator (RTG) simulation prototype based on skutterudite is designed. By replacing the isotope heat source with an electrically heated heat source, its output power is 40 W under the condition of 1600 W electric power heating, and the thermoelectric conversion efficiency can reach 2.5%. The simulation prototype contains a total of 8 thermoelectric modules, and each module contains 16 pairs of thermoelectric materials. Its maximum theoretical output power can reach 66 W under the temperature of 550 °C. This research provides a leading guide and reference point for the temperature difference structure of RTGs at the hundred watt level.
Impact Analysis of Increased Penetration of Variable Speed Constant Frequency Wind Power Generation on Power System Stability
Authors: Zhu Xuecheng , Zhang Jian , Chen Shiyu , Li Lin
Published: April 2021

Wind energy has the characteristics of randomness and intermittency. The simulation of the dynamic process on the medium and long-term time scale caused by this is of great significance to the planning and operation of power systems containing wind power. The paper discusses the operating principle of AC-excited variable-speed constant-frequency wind power generation system, analyzes the operating characteristics and control objectives of doubly-fed asynchronous wind generators before and after grid connection, and studies the grid connection of generators based on stator flux-oriented vector control technology Control and tracking control of maximum wind energy. The simulation analysis of the fault disturbance process of the power grid system with variable speed and constant frequency wind turbines, the results verify the correctness of the modeling.
Research on Data Management of Power Grid Enterprises Based on Data Middle Platform
Authors: Yang Qifan , Cai Yuxiang , Shen Liang , Chen Xiangzhou , Lan Liang , Jiang Xin
Published: April 2021

At present, the construction process of power grid enterprise information system mainly adopts the “vertical integration” system structure, with high construction cost, long period, non-sharing of data and low quality. By introducing the concept of data middle platform.to reaggregate and reconstruct unified supervision of enterprise data, it provides accurate and reliable, shareable and reusable data application services with business logic for front-end business, and realizes intelligent interconnection and data sharing in all aspects of power system. This paper puts forward the idea of data center, and puts forward data management methods from master data, data warehouse and metadata management respectively, so as to provide data service support for the development of power grid business towards intelligent and efficient direction.
Research and Design of Open Convolutional Neural Network Based on FPGA
Authors: Lin Huining , Wang Yu , Zhou Jian , Pei Shengqing , Geng Zhiqiang , Chen Zhuang , Guo Zhihan
Published: April 2021

In this paper, using the fluidity and parallelism of FPGA, we design a set of memory scheduling mechanism to implement an open convolutional neural network. The self-built vehicle database and the cropped and zoomed Daimler Pedestrian Detection Benchmark dataset are each trained under different network structures, and their recognition rates reached 97.8% and 98.6%. An open feedforward network is implemented on the FPGA platform, and experiments show that for small convolutional networks with different structures, the FPGA platform can increase its recognition speed when resources permit.
Failure analysis of heat pipe in hydrogen production unit
Authors: You Yiliang , Lin Nan
Published: April 2021

After two months of service, the heat pipe of hydrogen production unit bulged and fractured. The observation and measurement of the deformation of the pipeline was performed. The failure mode of heat pipe was analyzed by observing the macro and micro morphology of the fracture surface, and by Energy Dispersion Spectrum (EDS) analysis. Through the analysis of the metallographic structure of the pipeline, it is found that the pearlite is seriously spheroidized, which indicates that the pipeline has failed under long-term overheating working condition.
Research on Control Strategy of Grid-side Converter of Permanent Magnet Direct-drive Wind Turbine
Authors: Xu Hao
Published: April 2021

In order to make the permanent magnet direct-drive wind turbines stable and grid-connected operation, a double closed-loop control strategy based on grid voltage-oriented vector and current decoupling is proposed. First, the topology of the grid-side converter of the wind turbine is determined, then the mathematical model of the control strategy is derived, and the parameters of the PI regulator are calculated. Finally, the control strategy is verified by the simulation results. Through the analysis of the experimental results, it is found that the control strategy can achieve the functions of stabilizing the DC bus voltage of the fan and controlling the input power factor, ensuring the stable operation of the fan.
Measurement on minimum ignition energy of n-decane with pyrolysis
Authors: Peng Wenrui , Lin Bingxuan , Sheng Jiaming
Published: April 2021

Measurement on the minimum ignition energy (MIE) of n-decane with pyrolysis is investigated experimentally. Certain decomposition rate n-decane vapor is simulated by blending certain proportion of ethylene into n-decane vapor. Two equivalence ratios (1 and 0.7) and five blending ratios (0,0.2 0.4,0.6,0.7) of ethylene are, respectively, designed to represent different decomposition rates and equivalence ratios. The effect of different decomposition rates and equivalence ratios on the MIE of n-decane is investigated in following experiments. Two experimental methods are used for measurement. Technique of high-speed schlieren system is adopted to obtain images of the flame kernel by which the relationship between flame kernel radius and flame speed is calculated. An ignition probability model based on the logic regression theory is established to obtain the ignition probability curve. Results indicate that MIE is sensitive to the blending ratio of ethylene when equivalence ratio is 0.7. With elevated blending ratio of ethylene, MIE decreases rapidly firstly and with the continuous increasing of the blending ratio, the decreasing of MIE is lagging which indicates that there is a limit to the effect of the blending ratio of ethylene on the MIE. It is also found that values of MIE are closed when ethylene blending ratio is big enough whatever the equivalence ratio is.
Research on the development path of logistics management innovation in e-commerce environment
Authors: Wu Guanghua
Published: April 2021

The rise of e-commerce has caused changes in the development of logistics management, which is both an opportunity and a challenge for the logistics industry. This paper first describes the current problems faced by logistics management innovation, and then describes the characteristics of logistics development in the ecommerce environment, and then puts forward specific countermeasures for the innovation and development of logistics management under the e-commerce environment. Finally, the conclusion is drawn: with the development of e-commerce, the logistics industry will also keep pace with the pace and make substantive breakthrough under the management innovation.
Research on Financial Management Countermeasures of enterprises in e-commerce environment
Authors: Wang Linghong
Published: April 2021

With the continuous development of domestic economy and the development of science and technology, e-commerce has been more and more widely used in enterprise financial management. The involvement of e-commerce has brought the space of innovation and change for enterprises. At the same time, enterprises need to take some improvement measures to adapt to the new requirements of e-commerce environment. This paper takes the new requirements of e-commerce environment for enterprise financial management as the starting point, and then briefly describes the existing problems and corresponding improvement measures of enterprise financial management under the current environment, aiming to help readers fully understand the connotation of e-commerce environment and how to adapt to enterprise financial management, and improve the relevant measures for enterprise staff for ideas.
Monitoring and Analysis of Distributed New Energy Resources Based on the Internet of Things
Authors: Cui Hengzhi , Wang Chong , Liu Haixuan
Published: April 2021

In order to accurately monitor and analyze new energy resources in real time, the analysis and design of a distributed new energy resource monitoring device based on the Internet of Things cloud platform is carried out, and a Hadoop distributed new energy system based on the Internet of Things cloud computing is designed. It analyzes the computing architecture of parallel collection and distributed storage of new energy resource monitoring data, analyzes the infrastructure system of the distributed system, and builds the big data processing architecture and computing service architecture for the electricity information collection system based on the Hadoop cluster. Tasks are processed in parallel to improve the computing efficiency of electricity consumption big data; at the same time, in order to solve the problem of insufficient storage space caused by the sharp increase in the amount of data in the electricity consumption information collection system and the difficulty of data interaction at all levels, a distributed database is developed. The modular design of the parallel data collection system of HBase and the data warehouse tool Hive, and the distributed data calculation design based on the MapReduce method have improved the efficiency of data collection and the unified storage of heterogeneous data. The research provides reference for realizing an efficient and safe new energy resource monitoring data processing system.
Experimental study on cooling effect and improving comfort of cooling vest
Authors: Yuan Shuo , Zhang Mingrui , Zhang Ningning
Published: April 2021

In order to provide a comfortable working space in a warm or hot environment, it is necessary to cool these spaces to consume energy. In the context of global warming, the ability to provide comfort is becoming more and more challenging. With the increase of energy consumption, the demand for cooling is also increasing [1]. In previous studies, different types of individual and local cooling methods have been used to reduce the thermal stress of outdoor workers [1-7] and improve the comfort of indoor workers in office and commercial buildings. Local cooling can improve the macro climate air temperature, because the microclimate of workers is cooled, so the space air conditioning system needs less energy [1]. In addition, the thermal comfort of the transition space can be improved by using local passive cooling technology.
Numerical simulation study on Optimization of spray cooling mode in high temperature operation
Authors: Zhang Ningning , Zhang Cong , Yuan Shuo
Published: April 2021

Taking a single mine roadway in a metal mine as the research object, the distribution of wind temperature and wind speed in a single heading is studied by numerical simulation method under the condition of different ventilation in the roadway. The influence rule of different spray angles on the temperature distribution of the roadway is discussed, and the conclusion that the spray angle of the case reaches the optimum cooling effect is 15 degrees. Numerical simulation results show that spray cooling can make up for the defects of traditional pressing ventilation mode and achieve better cooling effect. It should be widely applied in non coal and gas outburst roadway.
Research and Analysis of Nonlinear Model Identification Control Algorithm Based on Improved Neural RBF For Short Term Heat Load Forecasting of Heat Supply Network
Authors: Wang Xuan , Zhang WanJun , Zhang Feng , Gou Xiaoping , Zhang Jingxuan , Zhang Jingyi
Published: April 2021

Aiming at the mismatch between heat supply and demand of heating system, a nonlinear model identification control algorithm based on improved neural network for short-term heat load prediction of heat supply network is proposed by using the characteristics that heat load and temperature of heating system will not change dramatically in a short period of time By using MATLAB simulation, short-term heat load rolling prediction is realized. From the experimental results, this algorithm is better than the traditional RBF neural network in the prediction accuracy, and can accurately predict the trend of heat load.
Research and Analysis on The Identification Technology of User Group Network in Distribution Station Area
Authors: Zuo Yue , Cui Shijie , Zhang Qi , Zhu Lianyong
Published: April 2021

Due to frequent line reconstruction in the distribution station area, the lines between adjacent lines in the distribution station area are messy and the paths are illegible, so that it is difficult for power grid companies to obtain accurate line losses and cannot balance the load planning, which is not conducive to the station area. Local refined management and service levels have been improved. In order to solve this problem, many identification technologies for users in distribution network stations have been proposed. However, traditional identification technologies have problems such as low accuracy and poor detection failure. The most important thing is that it is difficult to demodulate and identify signals. In order to solve this problem, this paper uses an improved differential cross-correlation algorithm to demodulate and identify the signal, and the power communication technology that carries information by artificially generating small distortions of the grid voltage and current. The experimental results prove the feasibility of the method proposed in this paper. Sex and effectiveness.
Analysis of Energy Structure in Northeast China
Authors: Lin Mingwei
Published: April 2021

As the old industrial base of our country, the utilization of energy in Northeast China has a certain influence on the implementation of the overall strategy of our country. After comparing and analyzing the data, it is concluded that the primary energy sources such as coal and oil account for a large proportion in the energy production and consumption structure of Northeast China, and after SPSS time series forecast, it is known that the energy structure will not change much in the short term. In view of this problem, we can promote the improvement and development of energy structure in Northeast China by developing new energy economy, perfecting the system of laws and regulations related to energy, and developing or introducing energy saving and efficiency-enhancing technology to improve energy utilization efficiency.Energy is the material basis for the survival and development of human society, and the revolution and innovation of energy is also an important manifestation of a country’s comprehensive strength. As the old industrial base of our country, Northeast China has abundant energy reserves such as coal and oil, and its energy utilization has a certain influence on the implementation of the overall strategy of our country. In October 2003, the CPC Central Committee and the State Council issued “Some Opinions on the Implementation of the Revitalization Strategy of the Old Industrial Base in Northeast China”, which clarified the guiding ideology, principles, tasks and policy measures for the implementation of the revitalization strategy. How to optimize the energy structure and make rational use of the energy in Northeast China will be an important issue to be considered in the energy innovation revolution in Northeast China. This paper will analyze the energy structure of Northeast China by means of data analysis, and then find out the problems and solutions[1].
A bi-level model for distributed generation optimal operating considering benefits of park power distribution company
Authors: Yin Shuo , Wang Shiqian , Yang Meng , Qiu Fengkai , Lin Jialin , Zhang Shuo
Published: April 2021

Distributed power generation market transactions provide a new profit model for park power distribution companies, which stimulates its enthusiasm for investing in distributed generation (DG). This paper integrates the investment income of distributed generation and the operation strategy of the park power distribution company into a bilevel programming problem. The improved particle swarm optimization algorithm is used to solve the model. The results show that the model can increase the comprehensive income of the distribution company, formulate a reasonable DG contract price and interruptible load compensation price, and effectively guide the planning and configuration of distributed generation and the economic efficiency of power distribution companies.
Research on Integrated Energy System of Power Grid Based on Artificial Intelligence Algorithm of Machine Learning
Authors: Zhang Nan , Zhang Wenqiang , Shang Yingnan
Published: April 2021

To advance the revolution in energy production and consumption, and to build a clean, low-carbon, safe and efficient energy system, it is necessary to develop a new generation of smarter power systems and integrated energy systems. Artificial Intelligence (AI) is currently one of the most disruptive science and technology, with strong processing capabilities in computational intelligence, perceptual intelligence and cognitive intelligence. Aiming at practical engineering problems such as the lack of accurate monitoring of the state of terminal equipment in the current comprehensive energy operation and maintenance management and control, the fault diagnosis mechanism is not perfect and the accuracy is low, a comprehensive energy operation and maintenance management and control scheme based on machine learning is proposed. Focusing on comprehensive energy service operation and maintenance management and control, in-depth mining of operation and maintenance and fault diagnosis data, integrating service system related expert information, establishing a comprehensive energy service terminal health evaluation model, and achieving a comprehensive evaluation of the health status of comprehensive energy services.
Research on Key Index System and Investment Scale Calculation Model of Power Grid Investment
Authors: Du Ying , Ma Tiannan , Wan Mingyong , Chen Jinyong , Yu Guangxiu , Sai Yaling , Wu Guangchuan
Published: April 2021

In order to avoid invalid investment and improve the investment efficiency of power grid companies, this paper constructed the power grid investment index system. Then extracted the key indicators by using the grey correlation analysis method. Finally, the regression analysis based on the multi scenario theory is used to predict the investment scale of power grid.
Coordinated Control of Multi-terminal MVDC Distribution Network with Photovoltaic Power Station
Authors: Lian Suo , Ma Yongwei , Li Wenyi , Tao Jun , Wang Biao , Xu Yu , Liu Qiong
Published: April 2021

In order to solve the problem of grid connection and absorption of large-scale photovoltaic power stations, the grid connection scheme of photovoltaic power stations connected to the two-end flexible DC transmission system based on DC voltage, active power and AC voltage control is adopted. Using RTDS simulation software, a DC power distribution system model including a photovoltaic power station and two MMCs was constructed, and the operating characteristics of the system were analyzed in detail. The simulation results show that when the output power of the photovoltaic power station fluctuates or the DC load changes, the system can maintain stable operation.
Comparison of Two Analysis Methods for Piezoelectric Laminated Plates
Authors: Guo Liang , Xing Ruishan
Published: April 2021

In this paper, the quasi-Shannon wavelet collocation precise integration method and the finite element method are used to solve the Hamilton regular equation of piezoelectric laminates. The cautions in the operation process of the two methods are analyzed, and the advantages and disadvantages of the two methods are compared. Numerical examples show that the wavelet collocation precise integration method which belong to the semi-analytical method is more accurate than the finite element method which is the numerical method.
Research and analysis of the control system based on sports running device to assist coaches to adjust speed adaptively
Authors: Zhao Bin , Liu Decheng , Liu Jianping , Zhang Wanjun , Gou Xiaoping , Zhang Feng
Published: April 2021

In this paper, an algorithm of adaptive speed control based on Sports runner assisted coach is proposed, and the control system based on Sports runner assisted coach adaptive speed regulation is established and simulated with MATLAB. The simulation results show that the test curve of the self-adaptive speed regulation of the sports running device is basically consistent with the actual situation of the auxiliary training device, with good stability and strong usability, which meets the requirements of sports running. At the same time, it also has a strong reference significance for the physical education teaching and training in other places.
Magnetic Moment Measurement Method Based on Magnetic Sensor Array
Authors: Sun Hexuan , Liang Jing , Zhi Huiqiang , Pei Dongxing
Published: April 2021

The magnetic moment measurement method based on magnetic sensor array is proposed to solve the problems of cumbersome calculation process and low inversion accuracy in the current magnetic moment calculation methods. Based on the concepts of magnetic field intensity, magnetic gradient tensor and Frobenius norm, this method can use the magnetic field information collected by magnetic sensor array to calculate the magnetic moment vector. The factors that may affect the measurement effect, such as sensor array structure, sensor precision and baseline size, are analyzed by simulation, and the advantages and disadvantages of three magnetic moment measurement methods based on magnetic sensor array are compared. Simulation results show that the proposed method is flexible in use, convenient in measurement, accurate in results, and has strong feasibility and reliability in geological survey and other applications.
Research on Fault Detection Method of Infrared Thermal Imaging for Power Equipment based on Deep Learning
Authors: Li Cheng , Yu Zixuan , Zhuo Mingsong
Published: April 2021

With the emergence of large image sets and the rapid development of computer hardware, especially GPU, it is a challenging problem to deploy convolution neural network (CNN) model on embedded devices with limited computing resources. The overheating fault of power equipment can be identified by collected infrared thermal imaging. Due to the propagation and fading of infrared radiation in the air, the infrared temperature measurement result is lower than the actual temperature value. In this paper, an efficient convolution neural network based on embedded equipment is proposed for thermal fault detection of power equipment. The backbone network in SSD algorithm is replaced by MobileNet, and Batch Normalization is merged with the previous convolution layer, so as to reduce model parameters, improve reasoning speed and make it run on lightweight computing platform. In order to solve the problem of propagation loss of infrared radiation in the air, an infrared temperature measurement correction unit based on BP neural network is proposed. Based on the above innovation, a thermal fault detection system for power equipment is designed. experiments and field applications show that the method has high accuracy and reasoning speed.
Research on Real-time Application of Ubiquitous Power Internet of Things Information Based on Smart Sensor Technology
Authors: Nan Jiangping , Jia Yajuan , Dai Xuezhen , Liu Yinglu , Ren Xiaowen , Feng Zheng , Xu Genqi , Bai Gang
Published: April 2021

In view of the current situation that it is difficult for the power control centre to take into account the multi-source information to conduct effective risk assessment on the dynamic process of the power grid, the challenges and opportunities faced by the power grid risk assessment under the background of the ubiquitous power Internet of Things are pointed out. The framework of the dynamic risk assessment system for the grid of the Internet of Things. At the same time, in view of the monitoring and fault diagnosis functions of sensor technology, especially gas sensor in transformer oil chromatographic monitoring, the application of ubiquitous power Internet of Things sensor technology in online monitoring of power equipment is discussed. First, the application of online monitoring of power equipment is analysed. The inevitable trend will then discuss in detail the monitoring and fault diagnosis functions of gas sensor technology in transformer oil chromatographic monitoring from sensor technology, gas sensor, transformer oil chromatographic device, and gas analysis method.
Discussion of Training Samples-Oreinted Sampling Methods for Data-driven Power Systems Analysis
Authors: Lei Jianglong , Yu Juan , Yang Yan , Xiang Mingxu , Yu Hongxin , Wang Hongbin
Published: April 2021

Data-driven methods such as deep neural networks (DNNs) and Gaussian processes (GPs), have been a promising way to achieve the balance of the calculation accuracy and efficiency in power system analysis. For instance, studies are utilizing the DNN-based method to achieve the fast and accurate calculation of probabilistic power flow. These methods rely on the sample data for training, which is mainly obtained by sampling. However, there is still no guidance on how to select the suitable sampling method to effectively generate the representative training samples. To address this problem, this paper explores the impact of different sampling methods on data-driven methods through theoretical analysis and simulation. Then some reasonable conclusions are drawn in this paper: i) Random sampling (RS) is suitable for data-driven methods that require large-scale training samples. ii) Latin hypercube sampling (LHS) is suitable for data-driven methods that only work well under small-scale training samples. iii) The assumption that the training samples generated by uniform sampling (US), which covers all sampling intervals, could not lead to good performance. Finally, simulations are implemented on the IEEE 39-bus system and the results demonstrate the effectiveness of the proposed conclusions
Research on the technology of Smart Energy Meter integrating time-sharing Metering and Billing
Authors: Liu Xingzhi , Zhou Quan , Qin Qing , Xie Yongming , Pan Yi
Published: April 2021

As one of the most basic and most critical devices in the perception layer of the ubiquitous power Internet of Things, smart energy meters require high reliability, low cost, and low power consumption, as well as certain functional expansion capabilities. This article mainly focuses on the smart energy meter integrating the metering and billing functions with variable tariffs and flexible and expandable electricity price packages, and analyzes the requirements for MCU instruction set, kernel structure, and SOC peripherals of this type of smart energy meter when working with a lightweight microkernel real-time operating system. And put forward the key design of the main frequency and large-capacity storage, which can meet the basic functions of the smart energy meter, while meeting the needs of flexible and expandable functions.
Research on Layout Network Optimization of Public Charging Infrastructure
Authors: Ma Jun , Xiaoyi Yin
Published: April 2021

With the gradual popularity of new energy vehicles in the world, people’s demands for the construction of supporting services such as charging infrastructure are becoming increasingly urgent. The popularity of charging infrastructure also determines the upper limit of the future development of new energy vehicles. This paper starts from the research on user satisfaction of charging infrastructure, finds the key indicator that affects user satisfaction-the layout network of charging stations, establishes a multi-path trajectory node model to quantitatively solve the problem of charging station layout under complex road network conditions, and calculates Example simulations verify the feasibility of the model method.
Analysis of anti-interference detection ability of wave net network signal based on convolution neural
Authors: Chen Tao , Sun Yaxuan , Ding Yulin
Published: April 2021

Deep learning has been widely used in image, speech, natural language, and robot and so on. However, how to use these technologies in radar detection is still very few. There are a lot of artificial design elements in the traditional radar processing, its application range must be considered practically, while the intelligent radar relies more on the self-learning and improvement ability of the algorithm itself. In this paper, a method of target detection based on convolution neural network is proposed. By matching the received signal with the transmitted waveform, the matching feature of the sliding window is extracted. Moreover, the feature information processed by convolution network is connected into a network, and the anti-jamming target detection under any transmitted waveform and given form of interference is completed. As a creative way, this paper compares the signal anti-interference detection and processing ability of convolution network and full connection network on independent distance unit, and finds that convolution network has the best effect.
Research and Implementation of Wind and Solar Energy Storage and Charging Scheme
Authors: Liang Liang , Yang Meiyi
Published: April 2021

In this paper, according to the characteristics of tourist attractions, the old station area and the heavy load station area which is difficult to increase capacity are reconstructed, and the energy saving and loss reduction treatment scheme is proposed. The wind and wind power generation equipment is used and the energy storage equipment is added to realize the power supply stability of the intelligent substation area distributed system. The transformer overload problem in the peak load period of the substation area is solved, and the energy-saving and loss reduction effect of the distribution line is realized.