bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Use of Computer Music in Modern Musical Composition
Authors: Fu Quanwei
Published: March 2021

In the ever-changing society, disruptive technology not only causes a tremendous impact on the instruments that musicians play, but also how they make music and how we perceive them. Music algorithms and software as well as computational models are evolving as critical tools to give life to original musical ideas, diversify the nature of music, and create magnificent works of art. Even artificial intelligence can be applied to this vibrant field because they both deal with intellectual and emotional human activities. This paper investigates the current developments of computer music, its influence on the elements of modern music composition, and best practices of their applications in the music industry. The main purpose of this paper is to provide an overview of the use of computer music on music creation, analyze the latest trends of technical developments in music, to recognize the enormous potential of computer music along with its practical applications.
Research on Information Processing in Management Information System of Soguifret S.a.r.l Company in Guinea Based Levenshtein Algorithm
Authors: Camara Aissata Damaro , Dan Gao Xin
Published: March 2021

SOGUIFRET SARL’s service is a full import and export support service for products all over the world. It offers the customer the customs clearance of containers, packaging of effects, shipment of products and objects. The customer files of Soguifret SARL have been exhausted over time due to the large number of customers requesting it at any time, which has led to poor management, as it is a system paper to record customer and staff information. This situation has led to many problems: in particular, unnecessary duplication of data on internal and external customers; loss of information can also occur because data is stored manually and is difficult to locate; therefore, it is difficult to trace the flow of customer information after years of service. The method we have chosen in this article is the Levenshtein distance. He learns the “proofs” by calculating the minimum distance to transform one chain into another and vice versa. In particular, it facilitates data management by avoiding duplication of words in essential documents, gives staff efficiency by saving time and multitasking at the same time. Based on the research results, we have implemented a system using Java; which will facilitate your management of company data.
Double Chain Blockchain Based on Improved Virginia Algorithm
Authors: Cao Yibo , Cheng Yuyang , Yang Chunyu , Zhan Anqi , Xu Chuxiao
Published: March 2021

As more and more people accept Bitcoin, block chain technology has received extensive attention and research. Block chain is a decentralized open dean technology that combines data blocks with the chain structure in chronological order, and combines encryption, protocol mechanisms, and smart contracts. Block chain technology has the characteristics of decentralization, high security, difficult information tampering, traceability, and transparency. Therefore, more and more companies and institutions are focusing on block chain technology research. In the wide application of block chain technology, the current centralized transaction model of e-commerce has gradually exposed some problems, such as the obvious monopoly trend of third-party platforms caused by the excessive central power, the difficulty of cross-border transactions, and the insecurity of user privacy information. Difficulties in accountability for transaction disputes, numerous phishing websites, and proliferation of fakes. Moreover, the current block chain transactions lack legal supervision and protection, transaction efficiency is low, smart contract functions are limited and difficult to understand, and block chain is highly professional and difficult to be accepted by the general public. Based on this, this article proposes a product anti-counterfeiting traceability system using a dual-chain block chain based on an improved Virginia algorithm, analyzes the security of the traceability system, and verifies the feasibility of the system through simulation experiments. The further combination of chain block chain technology and product security field provides reference and reference.
Attitude Interpolation Algorithm for Industrial Robot Based on Quaternion Method
Authors: Jiang Benchi , Li Jiankang , Du Xin , Duan Pengfei , Wang Jianbin
Published: March 2021

In order to achieve the smooth transition of the end-tool pose of the industrial robot, after determining the pose of the teaching points of the robot. Firstly, the path of the pose change between the adjacent teaching points is constructed by using the SLERP method, then, the position of the start and end points of the attitude transition curve is determined, and the expression of the attitude trajectory curve is obtained. According to the relation between the derivative of quaternion and Angular Velocity, the conversion between unit quaternion and angular velocity is realized by using Newton-Cortez formula. Finally, the velocity of the fitted industrial robot’s tool’s attitude trajectory is planned, and the whole attitude trajectory is interpolated.
Gerber File Parsing and the Implementation Method of its Conversion to Bitmap Image
Authors: Fan Yong , Wu Shuqin , Wu Xie , Yang Jianbo
Published: March 2021

In order to obtain the standard image based on the Gerber file in the AOI (Automatic Optical Inspection), an implementation method is proposed by analysing and converting the Gerber file into a bitmap image. According to the command format rules of Gerber file, the approach is designed to analyse Gerber files by constructing the command regular expression of Gerber files. In order to achieve convenient access to the drawing data, the drawing data processing is performed by defining a class, then the drawing data is stored in a dynamic array and the adjustment factors are added in the drawing data at the same time to meet the further post-processing needs of bitmap image. This method can quickly analyse Gerber files, adjust drawing data and generate bitmap images.
Tool Wear Prediction Based on Edge Data Processing and Deep Learning Model
Authors: Yan Dong , Ding Xinyu , Pan Shuaiyu , Huang Haoyang
Published: March 2021

In order to improve the accuracy of tool wear prediction and enhance the real-time application in industrial sites, a tool wear prediction method based on edge data processing and CNN-BiGRU neural network is proposed. This method first implements data preprocessing on edge nodes, effectively reducing the amount of data transmission to avoid network link congestion. After that, the CNN-BiGRU neural network was deployed in the cloud for model training. Experimental results show that the tool wear prediction method based on edge data processing and CNN-BiGRU neural network has good real-time performance and high prediction accuracy in simulated industrial field applications.
Recognition and classification of water surface targets based on deep learning
Authors: Peng Yanhua , Yan Yipu , Feng Biao , Gao Xingyu
Published: March 2021

Aiming at the shortcomings of low recognition rate and low calculation rate of surface unmanned ship in complex time-varying water surface environment, a surface target detection method based on Faster R-CNN is proposed in this paper. Firstly, the water surface image was enhanced by McCann Retinex method to improve the image quality under complex background. Secondly, a water surface target data set was established. Finally, based on Faster R-CNN algorithm, VGG, Resnet and Inception network structures were employed to test and analyze the data set. The results show that the detection method proposed in this paper can effectively complete the identification and classification of six categories of common targets on the water surface, which has significant guiding significance for the autonomous obstacle avoidance and maritime search and rescue of unmanned ships.
CdTe quantum dots film by electrospinning as bearing temperature sensor
Authors: Pan Zhang , Ke Yan , Jun Hong , Zhu Yongsheng
Published: March 2021

Temperature monitoring of bearing rotating elements is crucial for bearing condition assessment and early warning. Using CdTe quantum dots (QDs) to prepare sensors requires other membrane material as the substrate, which affects the accuracy of the test. Meanwhile, CdTe QDs exposed to air for long time will lead to oxidation, which affects the storage life of the sensors. Hence, based on excellent film forming properties of polyvinyl alcohol (PVA), the CdTe/PVA polymeric nanofiber was fabricated by electrospinning method. For comparison, the CdTe/PVA composite film by drop-casting method was also prepared. Thermal properties show that there are excellent linear relationships between peak wavelength and temperature of the CdTe/PVA composite film and the CdTe/PVA polymeric nanofiber respectively. However, the uniformity of the CdTe/PVA polymeric nanofiber obviously better than the CdTe/PVA composite film. Outstanding temperature dependence of photoluminescence spectra and uniform film formation demonstrating the potential value of the obtained CdTe/PVA polymeric nanofiber as temperature sensor for bearing rotating elements.
A method for assigning the motion precision of meta-action chain based on spinor theory
Authors: Ying Guangqi , Zhang Genbao , Ran Yan , Mu Zongyi
Published: March 2021

In order to provide theoretical guidance for the precision design and optimization of CNC machine tools, the motion precision distribution model of the meta-motion chain was established based on the minimum motion unit - meta-action. The motion function of CNC machine tool was decomposed into meta-action chain by using the “function-motion-action” (FMA) method, and the motion precision model of meta-action chain was established based on the screw theory. The sensitivity coefficient was used as the manufacturing cost index, and the spatial rotation error was used as the objective function to construct the motion precision distribution model. Finally, the NSGA-II genetic method was used to solve the distribution. The motion precision distribution of a numerical control machine tool is carried out, and the feasibility of the model is verified, which provides theoretical guidance for precision design of products.
Blur Regional Features Based Infrared And Visible Image Fusion Using An Improved C3Net Model
Authors: Xu Zhao , Liu Gang , Tang Li Li , Li Yan Hui
Published: March 2021

For ameliorate the drawback that useful information obtained through middle layers is lost in the conventional image fusion methods based on deep learning, an unsupervised deep learning framework based on Cascaded Convolutional Coding Networks (C3Net) is proposed for the fusion of infrared and visual images. A Blur Regional Features (BRF) scheme is also considered during fusion stage, so as to preserve the consistency of regions. Firstly, redundant and complementary features of infrared and visible images are obtained from the coding layer respectively. The output of each convolutional layer is connected to the input of the next layer in a cascading manner. Then, relying on the features of redundant features and complementary features, different fusion strategies are designed respectively based on BRF to obtain fusion feature maps. Finally, the fused image is reconstructed by decoding layer. Furthermore, the objective function of the training model is designed as a multitask loss function including Mean Square Error, Information Entropy and Structural Similarity, to reduce the loss of the original image information. The experimental results of C3Net fusion method is compared with state-of-the-art fusion methods, which is better synthesized performance in objective evaluation and subjective visual quality.
Application of Visual Technology in Fully Mechanized Coal Face
Authors: Gao Xubin
Published: March 2021

With the gradual improvement of coal mining automation, visual technology is more and more widely used in coal mine production line. Especially in fully mechanized coal face, visual technology provides a guarantee for reducing the working face personnel and remote control. Aiming at the application scene of fully mechanized coal face, the key technologies such as visual imaging algorithm, visual data compression algorithm, panoramic reconstruction technology of fully mechanized coal face and reliable video data storage technology are combed. The distortion correction, image registration, image fusion and video data compression methods based on depth learning technology in panoramic video surveillance system of fully mechanized coal face are mainly expounded. It effectively solves the problems of large bandwidth, incomplete video storage, non-intuitive working picture of shearer and uneven video splicing picture. At the same time, the development direction of video surveillance system in fully mechanized coal face is discussed.
Feasibility Analysis of Integrating Augmented Reality Application into Education System to Improve Students’ Learning Experience
Authors: Zhang Kun-Shan , Chen Chiu-Mei , Chang Wen-Yu
Published: March 2021

Integrating Augmented Reality (AR) application into education system can improve students’ learning experience, this study analyzes the feasibility of the application of augmented reality technology in education through literature review. It also commend the AR use survey of three disciplines in education industry, including potential advantages, challenges and learning experience, and takes PDCD mode as AR resource development mode. Then it analyzes the advantages and disadvantages of its intelligent learning environment and technology in education, the utilization of AR is considered a suitable tool to incorporate in the education industry.
Classical nonlinear simulation of low-order modes of Lamb waves in plate
Authors: Meng Tao , Meng Xiangji , Li Xiaolong , Chen Jinzhong , Jiao Jingpin
Published: March 2021

For the classical nonlinear research of low-order modes of Lamb waves, this paper firstly introduces the classical nonlinearity derived from the intrinsic nonlinear induced low-order Lamb waves (S0 and A0 modes). Theoretical and numerical calculations are studied in two aspects. The influence of nonlinear effects on the nonlinear effects of classical nonlinear low-order Lamb waves and the cumulative growth effect are analyzed by finite element simulation. The results show that the nonlinear effect produced by the superelastic material model is greater than the geometric nonlinearity, and the linear elastic material model does not produce nonlinear effects. In addition, as the third-order elasticity increases in the material, the amplitude of the second harmonic gradually increases. The second harmonic generated by the A0 mode with phase velocity mismatch is the S0 mode. It can be seen that the group velocity matching is not a necessary condition for generating the second harmonic. Since the phase velocity matching is not satisfied, there is no cumulative growth effect; The higher the S0 mode phase velocity matching degree, the more obvious the cumulative growth effect, and the second harmonic is the S0 mode.
Research on Route Planning based on improved Ant Colony Algorithm
Authors: Xin Chen , Luo Qiang , Wang Changhong , Yan Zheng , Wang Haibao
Published: March 2021

In order to enhance the safe flight performance of UAV and better complete complex tasks, it is extremely necessary to study route planning. Firstly, the feature points of the landform landform are extracted as the flight track points of the UAV, and the track planning problem is transformed into the traveling salesman problem. Secondly, an adaptive pheromone update method is proposed, and an improved ant colony algorithm for optimizing the local pheromone is proposed to avoid the basic ant colony algorithm from falling into the local optimal solution and improve the global search ability. Finally, the proposed algorithm is verified by simulation experiments. The experimental results show that the improved ant colony algorithm is practical and superior, and can effectively solve the problem of route planning and obtain the optimal path of route planning.
Research on Information Security Encryption Method Based on Blockchain
Authors: Lu Aifen , Xiong Yongping
Published: March 2021

With the rapid maturity and development of positioning technology, location-based service (LBS) has become an indispensable part of many industries in social life and national economy, including transportation, social platforms, medical fields, military National defense, etc. With the rapid promotion of wireless network technology and the continuous enrichment of related application fields, LBS has become more complete and convenient, and has a wide range of application prospects. LBS refers to providing location-related services to users through location sharing. In the traditional centralized management mode, problems such as location privacy leakage and location information tampering caused by third parties have brought huge security risks to users. Taking into account the distributed data storage method of the blockchain and the characteristics of openness and autonomy, this paper uses the blockchain to realize the decentralized storage of location information, and on this basis, research and design the location of multi-level privacy protection. The sharing scheme eliminates the security problems caused by third parties and realizes the security of user location information shared.
Modeling and Research of Fuzzy PID Control Strategy for Hydraulic Rock Drill Propulsion System
Authors: LIU Zhong , Wang Hanying , Xiong Zhonggang , Huo Jiabo , Zhan Jiangzheng , HE Yanfei
Published: March 2021

According to the coupling characteristic of propulsion system and impact system of hydraulic rock drill, deduced the calculation formula of optimal axial thrust for the propulsion system of hydraulic rock drill. On the basics of the calculation formula before, the paper constructed compound driven propulsion system of hydraulic rock drill based on electro-hydraulic proportional pressure-reducing valve and high speed on-off valve, and established its dynamics model. Finally, the paper considered optimal axial thrust as the goal, and adopted the fuzzy PID control strategy to realize on-line, intelligent control to axial thrust of the propulsion system of hydraulic rock drill. Through mathematical modelling and simulation study show that fuzzy PID control method has its advantages as the fast response follow by target, high control precision, and small fluctuation, and provided theory reference and technology method for intelligent control of the propulsion system of hydraulic rock drill.
Research on the Temperature Control System of 6KA Neodymium Oxide Electrolysis Furnace with BAS_PID Algorithm
Authors: Bai Song , Ran Junming , Gan Jiayi , Chen Jianbin , Tang Shenglong , Gao Peng
Published: March 2021

In order to solve the obvious temperature fluctuations in the cell during the neodymium oxide electrolysis process, the traditional PID control algorithm has a large lag, the timeliness of the multi-variable electrolysis temperature control system is poor, and the manual parameter adjustment is difficult, the beetle PID automatic temperature control system is proposed. Through the control of the key variable cathode current density, speed up the system to adjust the output speed; use the orthogonal temperature measurement method to replace the traditional single point temperature measurement, and use the domain temperature to represent the point temperature to solve the problem of large temperature measurement errors. This algorithm model is based on MATLAB2017 platform for modeling simulation and experimental research. Compared with traditional PID, this method has better adaptive ability and robust performance. The maximum deviation between the actual electrolysis temperature and the set target temperature is 45°C, and the overshoot is 3.3 %, to meet the process index requirements in the actual production process, and provide a reference case for the improvement of neodymium oxide electrolysis process.
Research on Optimization of Heterogeneous Air Cargo Network Based on Hybrid Particle Swarm Algorithm
Authors: Zhang Mingwei , Chen Rong
Published: March 2021

In order to solve the problem of poor timeliness and high operating cost caused by the failure to consider the types of cargo aircrafts and the lack of scientific and reasonable optimization model in the process of transportation scheduling optimization of China’s air cargo network, a transport network optimization model of heterogeneous cargo aircraft formation is established, which takes the total flight cost and the number of all-cargo aircrafts as two optimization objectives. The model takes into account the demand time window of air nodes, the maximum payload constraint of cargo aircrafts, the dynamic loading and unloading time of cargo aircrafts, the take-off and landing time and the handover time of cargo aircrafts. In this paper, a hybrid particle swarm algorithm is proposed. The crossover operator of genetic algorithm is used to keep the directivity of particles, and the acceptance criterion of simulated annealing is used to enhance the ability of the algorithm to jump out of local optimum. The effectiveness of the algorithm and the model is verified by the simulation optimization and comparative analysis of a numerical example.
Image Filter Processing Algorithm Analysis and Comparison
Authors: Hai Xia , Cao Shukun , Cui Shoubo , Ma Jianzhong , Gao Kuizeng
Published: March 2021

In the process of capturing images by the camera, various noises will be generated due to the interference of the external environment or the interference of the internal environment. The noise must be filtered to ensure the accuracy of the size measurement. This article takes Gaussian noise and salt and pepper noise as examples. Experimental simulation analysis of image filtering by different filtering methods. Then combined with the image quality evaluation index to analyze the optimal image filtering processing method, finally it is concluded that the most suitable methods for Gaussian noise and salt and pepper noise filtering are adaptive Gaussian filtering and median filtering.
Fitting the space line of high repeatability to noisy point cloud data
Authors: Huang Shuai , Chen Ming , Lu ShengLian , Chen ShouXin , Zha YongJian
Published: March 2021

The spatial line fitting algorithm with high repeatability for noise point cloud data is challenging and it is of great significance for high-precision measurement, visual guidance of robotics and CNC machining, but little study has been done at this topic. In this paper, a new algorithm is proposed to fit the spatial line with high repeatability to adapt to the point cloud data with noises. This method combines the idea of repeated residuals and the least square algorithm to filter out the noises and then solve the problem. The algorithm can successfully filter the noises. Four popular straight lines fitting algorithms are implemented as benchmarks. A large number of experimental results show that this algorithm can obtain highly repeatable and accurate straight lines.
Study on the application of automatic cleaning technology of the inner wall of pipeline
Authors: Liu Huimei , Chen Yan , Hu Junjie
Published: March 2021

The problem of the inner wall scaling of pipeline has been a bottleneck of the production of all fields for a long time, because it makes the industrial accidents happen frequently, which not only causes enormous economic losses, but also causes the great environment pollution. In this study, the ultrasonic cleaning technology applied to the pipeline wall of milk pasteurization system was put forward, because the pipeline wall of milk pasteurization system was very difficult to clean. Subsequently, the main effect of ultrasonic wave used in pipeline of antiscaling descaling principle and influence factors of cavitation field were analyzed, the pasteurized milk system device and the ultrasonic transducer installation method were designed. Finally, the results showed that pipeline automatic cleaning effect had much to do with the ultrasonic frequency and sound source location, and it had obtained the basis of parameter selection of ultrasonic wave applied in pipe fouling prevention. This study had the great practical significance to solve the problem of cleaning the inner wall of pipelines.
Identifying heavy-flavor jets using vectors of locally aggregated descriptors
Authors: Bielčíková J. , Kunnawalkam Elayavalli R. , Ponimatkin G. , Putschke J.H. , Sivic J.
Published: March 2021

Jets of collimated particles serve a multitude of purposes in high energy collisions. Recently, studies of jet interaction with the quark-gluon plasma (QGP) created in high energy heavy ion collisions are of growing interest, particularly towards understanding partonic energy loss in the QGP medium and its related modifications of the jet shower and fragmentation. Since the QGP is a colored medium, the extent of jet quenching and consequently, the transport properties of the medium are expected to be sensitive to fundamental properties of the jets such as the flavor of the parton that initiates the jet. Identifying the jet flavor enables an extraction of the mass dependence in jet-QGP interactions. We present a novel approach to tagging heavy-flavor jets at collider experiments utilizing the information contained within jet constituents via the model architecture. We show the performance of this model in proton-proton collisions at center of mass energy √(s) = 200 GeV as characterized by common metrics and showcase its ability to extract high purity heavy-flavor jet sample at various jet momenta and realistic production cross-sections including a brief discussion on the impact of out-of-time pile-up. Such studies open new opportunities for future high purity heavy-flavor measurements at jet energies accessible at current and future collider experiments.
A resource theory of quantum measurements
Authors: Guff Thomas , McMahon Nathan A , Sanders Yuval R , Gilchrist Alexei
Published: March 2021

Resource theories are broad frameworks that capture how useful objects are in performing specific tasks. In this paper we devise a formal resource theory quantum measurements, focusing on the ability of a measurement to acquire information. The objects of the theory are equivalence classes of positive operator-valued measures, and the free transformations are changes to a measurement device that can only deteriorate its ability to report information about a physical system. We show that catalysis and purification, protocols that are possible in other resource theories, are impossible in our resource theory for quantum measurements. Standard measures of information gain are shown to be resource monotones, and the resource theory is applied to the task of quantum state discrimination.
Assessment on the Environmental Impact of Conventional Energy Forms
Authors: Yu Mingyi
Published: March 2021

As the dominant energy forms in the world, fossil fuels, nuclear and hydropower occupy over 90% of energy resources in total. The greenhouse gas is the emission of fossil fuel incineration, which causes global warming and climate change. Nuclear and hydropower are renewable energy and almost do not have waste during power generation. However, both nuclear and hydropower have potential or long-term negative influences. According to the current energy field, this article mainly analyzes the direct and potential effects of three types of energy forms and predicts future targets in the energy field.
Research on failure rate of self-service payment terminal of power supply company based on cloud computing
Authors: Xu Ming Feng , Song Fei , Sun Yan Jun , Lang Shan , Ma Wen Long
Published: March 2021

With the continuous development of power companies, the load on the user side continues to diversify, the traditional payment methods in the power system are constantly updated, and the scale of self-service payment terminals has been fully expanded. However, as the scale of self-service payment terminals becomes larger and terminal equipment functions become more abundant, the failure rate of terminal equipment is also on the rise. Cloud computing can provide a large number of low-cost computing and storage resources, and has the characteristics of easy deployment and strong scalability, which can meet the software and hardware needs of big data analysis. Therefore, the effective integration of cloud computing and big data technology and the use of their respective advantages have important practical significance in the big data analysis of equipment failure. Completing the prediction of the failure rate of the terminal equipment according to the designed big data analysis framework will help to arrange the maintenance plan of the terminal equipment reasonably and improve the reliability of the power self-service payment terminal.
A Probe into the Accuracy of Thermal Runaway Simulation Model of Lithium-ion Battery under Adiabatic Condition
Authors: Lai Yilin , Yang Kai , Liu Hao , Gao Fei , Zhang Mingjie , Xu Wen
Published: March 2021

For the safety problem of lithium-ion battery, thermal abuse early warning is needed to be established, for which the main point is to analyze the mechanism and to establish the thermal abuse model of single lithium-ion battery. This article used 10Ah ternary lithium-ion battery as the research object and used simulation software to build thermal abuse simulation model. The accuracy of simulation model was verified by comparing the temperature simulation result with temperature data from adiabatic environment thermal abuse experiment. According to the results, heating trend of temperature of the simulation under adiabatic condition is approximately the same as that of ARC adiabatic test temperature. Before the end stage of self-heating period, the error remains within 5%; at the end of self-heating stage, the error is around 5-10%; after entering thermal runaway stage, the error can reach 36%. Missing the equation of reactions between electrode and additive, and internal short-circuit is the main reason causing the error of the simulation result.
Research on anomaly data mining method of new energy field stations based on improved Adaboost algorithm
Authors: Wang Nan , Wang Yanzhuo , Cheng Yan , Guan Ti , Ma Qiang , Sun shumin , Guan Yifei , Wang Yuejiao , Wang Shibo
Published: March 2021

Traditional anomalous data mining methods require a lot of prior knowledge, which leads to low data mining integrity and efficiency. For this reason, a new energy field abnormal data mining method based on improved Adaboost algorithm is proposed. After pre-processing the new energy field data, the algorithm is improved by introducing dynamic weight parameters to address the shortcomings of the Adaboost algorithm. After calculating the degree of data anomaly using the direct push belief machine, the neural network is used to reduce the error value of the Adaboost algorithm, and finally the output of the Adaboost algorithm is used to realize abnormal data mining. The simulation experiment proves that the researched abnormal data mining method has high data integrity and high efficiency.
Finite element model of bolt looseness of wind turbine tower
Authors: Wu Enjun , Chen Hongjun , Qu Wenfeng , Huo Chong , Liang Zhengzhao , Huang Xiangchao , Li Zhenrong , Li Hang , He Bing , Yang Tao
Published: March 2021

Flange bolt looseness is one of the common problems of wind turbine tower, and is the main factor leading to the collapse of wind turbine tower. In this paper, based on ANSYS Based on the finite element analysis method of workbench, the local finite element vibration analysis model of tower drum is established and verified by experiments. Based on this model, the influence of bolt looseness number, wind strength and wind direction on the phase difference between the upper and lower flange plates is studied. The results show that the flange plate with certain bolt looseness ratio is at the top and bottom. The absolute value of the phase difference between the plates is obviously larger than that when the bolts are tightened. Therefore, the phase difference between the upper and lower flanges can be used as the basis for judging the looseness of the bolts in the tower flange.
Research on power environment monitoring system of information room
Authors: Song Xin , Hao Chenggang , Zhang Xin , Wang Yifei
Published: March 2021

With the increasing number of equipment in the information room, the timed patrol inspection by duty personnel alone cannot effectively monitor the entire room environment in real time, and there are large potential safety risks. This paper introduces the technical scheme and construction scheme of power environment monitoring system for information room of Siping Power Supply Company, Jilin Province Power Co., Ltd. Through the construction of the system, unified operation monitoring of all equipment in the information room is achieved. Once the system is applied, and once a fault is found, the system will send an alarm signal to the on duty personnel at the first time. It also informs operation and maintenance personnel by SMS to handle the malfunction in time, so as to ensure the safe and stable operation of the information room equipment and system.
Adaptability analysis of solar water heating system in Chongqing area
Authors: Ma Xiaoxue , Wang Xiaotong , Meng Fanlin
Published: March 2021

According to the simulation software TRNSYS, based on meteorological parameters and and the distribution of solar energy resources in Chongqing area, the dynamic simulation method is used to analyze the application effect of the solar water heating system in Chongqing area. The results show that the application of solar water heating system in Chongqing area has potential, but it has obvious seasonal characteristics, with sufficient solar radiation in summer, followed by spring and autumn, and the least in winter. The simulation calculation shows that the monthly thermal efficiency of the collector fluctuates between 0.2 and 0.7 throughout the year, with an average value of 0.51. The solar fraction basically increases with the increase of solar radiation, which also has obvious seasonal characteristics.
Empirical Analysis on the Impact of Energy Output and Industrial Structure Adjustment on Economic Growth in Shanxi Province, China : from the Perspective of SVAR
Authors: Liu Yaru , Liu Lang
Published: March 2021

Based on the time series data of Shanxi Province from 1989 to 2018, this paper constructs the SVAR model (structural Vector autoregression). Using impulse response function, variance decomposition and other tools, this paper makes an empirical study on the relationship between economic growth, industrial structure adjustment and energy output in Shanxi Province. The correlation and contribution rate among energy output, industrial structure adjustment and economic growth are evaluated dynamically. The main conclusions of this paper are as follows: there is a long-term stable relationship among the economic growth, the proportion of the gross output of the secondary industry and the output of the primary energy; when the proportion of the Gross Domestic Product of the secondary industry and the output of the primary energy have a dynamic impact on economic growth, their responses are not the same; by comparison, the impact of industrial restructuring on the economic growth of primary energy is greater than the pulling effect of output.
Analysis on Optimal Mode of Operation of Small and Medium Pumped Storage Power Station
Authors: Zhang Yi , Zhang Feng , Li Youchun , Mo Jianguo , Tang Lv
Published: March 2021

With the rapid development of new energy and peak-shaving of power grid, pumped storage power station has been paid more and more attention as an economical and reliable means of peak-shaving. Pumped storage power station can play the role of peak-shaving frequency modulation, accident reserve, black start power supply and so on. It is an effective means to ensure the safe operation of power grid, optimize the economic operation of thermal power units and promote the absorption of new energy. This paper first briefly introduces the operation mode of pumped storage power station, and analyzes the operation benefit of pumped storage power station from the actual operation demand of power grid. Further, the main operation mode of pumped storage power station is analyzed, and the operation mode suitable for small and medium pumped storage power station is put forward.
Analysis and Research on Turbulent Kinetic Energy of Three-way Regulating Valve
Authors: Hou Yingzhe , Wu Hao , Li Zhong , Xiong Jinying , Yan Xiaozhe , Hu Yiming , Zhu Haoqiang , Gao Haitao , Cui Qiguan , Wang Gang
Published: March 2021

In a system with the 3-way regulating valve, low energy consumption high efficiency based on fluid dynamics CFD software, for the 3-way regulating valve of the 3 d simulation for internal flow property research, obtained the pressure within the valve flow turbulence kinetic energy and turbulence dissipation rate etc. The results show that the flow field information with the increase of the opening, the seat area on the turbulence kinetic energy and turbulence dissipation rate increases sharply, change law instead of the seat position. The existence of transition cone can greatly reduce the turbulent kinetic energy and the turbulent dissipation rate of the upper seat in the wide opening range and the valve in the small opening range. Long-term avoidance of the valve working in the minimum-opening condition will be beneficial to the protection of the valve.
A three-degree-of-freedom bistable piezoelectric energy trapping method
Authors: Qiao Xiaojie , Lu Yingchun
Published: March 2021

The use of piezoelectric energy harvester to convert environmental low-frequency vibration energy into electrical energy has become a research hotspot in the field of new energy. However, the piezoelectric energy harvester developed at present has high natural frequency and narrow energy trapping band, which has become one of the main reasons restricting the application of this technology. To solve this problem, based on the principle of nonlinear three degrees of freedom, this paper proposes a three-degree-of-freedom bistable piezoelectric energy trapping method. Firstly, the three-degree-of-freedom bistable energy capture method is modeled, and the energy capture frequency and nonlinear force of the model are derived; then use COMSOL software to simulate the model. The simulation results prove that this model not only reduces the natural frequency of the piezoelectric energy harvester, but also the introduced nonlinear magnetic force significantly broadens the energy trapping band. Finally, the actual measurement and comparative analysis of the proposed method prove the effectiveness of the proposed method.
Visualization system of power communication room based on Internet of Things
Authors: Song Xin , Hao Chenggang , Zhang Xin , Wang Yifei
Published: March 2021

With the rapid development of Internet of Things(IoT) technology and power communication technology, the operational stability of the communication room has become an important factor for the safe and stable operation of power communication equipment. Realizing the real-time monitoring and unified management of the power and environment of the computer room is of great significance to ensuring the stable and reliable operation of the communication equipment in the computer room. In view of this, this paper proposes to use the IoT technology to design a set of visual data system and display system interface. The commissioning and operation of the system show that the system can realize real-time monitoring and centralized management, which is of great significance to the safe and stable operation of the converter station.
Numerical simulation of the dryer drum radiation area using coupled CFD and DEM methods
Authors: Li Haozhen
Published: March 2021

This article investigates the use of coupled computational fluid dynamics (CFD) and discrete element methods (DEM) to simulate the heat transfer by thermal radiation in the material containing zone of an aggregate drum dryer for hot mix asphalt production, a 250mm long material containing zone structure was selected. For the asphalt binder to properly coat the aggregate, the aggregate must be completely dry. This process is accomplished in a counter-flow drum heated by a burner with the flights attached inside the drum walls to facilitate heat transfer. The materials containing drum area was tested and simulated, and the material temperature rise and drum temperature were obtained, with an error of less than 5% from the experimental results, indicating that the simulation is feasible. The results of the study show that the best heat radiation effect is achieved with a semi-contained flight; the material temperature increases and then decreases as the output increases. The flame diameter increases by 1.5 times, the heat radiation effect is enhanced. The preliminary results may provide some guidelines for operating the dry drum efficiently and designing drum to control quality of material mixes and save energy.
Research on regional adjustment method of power grid operation and maintenance cost level based on information entropy considering multiple differences
Authors: Mao Yudong , Ma Lin , Ren Yan , Tong Ruigang , Liu Jia , Zhang Si , Zhao Lei , Liu Jinpeng
Published: March 2021

Scientific investment in asset operation and maintenance is a key issue for grid companies. The current grid operation and maintenance cost level is affected by multiple factors such as the natural environment and the market environment. How to combine the actual differences in different regions to propose an adjustment and optimization method for the grid operation and maintenance cost level can further improve the level of precision investment in operation and maintenance costs, and better Facing the operating shock brought by the complicated internal and external situation. This paper first uses the system dynamics model to identify the factors affecting the operation and maintenance cost of power grid assets from different dimensions such as the natural environment and the market environment, clarifies the impact mechanism from different perspectives such as quantity and price, and determines the input variables for the analysis of the difference in operation and maintenance cost levels, combined with the results of variable selection, information entropy theory is introduced to construct an adjustment and optimization model based on information entropy. Finally, empirical research is conducted in different regions, and the results show that the model can provide theoretical support and method reference for the reasonable determination and dynamic adjustment of operation and maintenance cost level under the requirements of precise investment management and control.
Study on injection and production of oil and water wells in steam flooding test field of thin oil reservoir
Authors: Yu Haiwei
Published: March 2021

On the basis of dynamic changes of steam injection wells and extraction wells, the influencing factors of steam injection oil production in transition zone are analyzed and summarized. According to the dynamic relationship of oil-water wells, the feasibility of steam flooding in this zone is analyzed. According to the field conditions, the reasonable well spacing and injection parameters are optimized to provide reliable field data for the application of steam flooding in this zone.
Theoretical analysis of open - circuit ground source heat pump drying system
Authors: Wu Hao , Liu Wanfu , Qi Wuqin
Published: March 2021

In order to apply the ground source heat pump in the drying industry, a set of open-circuit ground source heat pump drying system was designed for theoretical analysis and compared with the closed air source heat pump drying system, The results are shown below: When the drying temperature (air temperature required for drying) is 40°C-60°C, the system performance coefficient( COP) of the drying system is 3.2-5.2. Dehumidification per unit energy consumption( SMER) is affected by the external ambient temperature. The highest and lowest SMER corresponding to the ambient temperature of 20°C are 4.4 and 1.4, and the highest and lowest SMER corresponding to the ambient temperature of -10°C are 2.6 and 1.1. When the ambient temperature is high and the drying temperature of drying materials is low (less than 50°C or so), the open-circuit ground source heat pump drying system has a slight advantage over the closed air source heat pump drying system, and SMER is higher.
A Feasibility Study about Cellulosic Ethanol Industrialization
Authors: Zhu Guanyu
Published: March 2021

The second-generation of biomass ethanol, also known as cellulosic ethanol, is a major topic of discussion. The immaturity of pretreatment technology is one of the main factors restricting the scale-up of the second-generation bio-ethanol technology. Appropriate pretreatment methods can improve the accessibility of cellulose, reducing the cost of separating cellulose, hemicellulose and lignin, while increasing the yield of cellulosic ethanol. Pretreatment methods are mainly divided into four categories, namely chemical pretreatment, physical and chemical pretreatment, physical pretreatment as well as biological pretreatment methods. By analyzing the principles, effects, advantages and disadvantages of the popular pretreatment methods, whether they were suitable for industrialization were assessed. According to the results, chemical treatment methods are most frequently used but restricted to the high cost, difficulty in recovery, the impact of organic solvents and the safety problems. Physicochemical pretreatment methods are popular but has the problem of high energy cost. Besides, biological methods are not suitable for industrialization due to the high time-consuming and low degradation efficiency. Physical pretreatment is currently only a supplement of chemical pretreatment and physicochemical pretreatment, while due to its advantages such as the efficiency of pretreatment, reduction of the dosage of chemicals and low cost, it is worth being studied in the future.
Mechanical Properties of Main Steel Pipeline P92 Steel in Ultra-Supercritical Unit after 50,000 h Service
Authors: Li Xinmei , Zhang Zhongwen , Du Baoshuai , Zou Yong , Suo Shuai , Li Wen
Published: March 2021

The mechanical properties of P92 steel after 50,000 h service were explored using the mechanical property tests, such as tensile test, bending test, and impact test by means of scanning electron microscopy (SEM) and energy disperse spectroscopy (EDS), etc. The results show that the strength, elongation, and plasticity of P92 steel after the 50,000 h high-temperature service meet the requirements specified in the related standards, with a certain aging embrittlement phenomenon, which is closely related to the structure aging after the service. The precipitates after the high-temperature service are mainly M23C6, Laves, and compounds of Nb, where the first two phases, which are large, present weak binding force to the matrix with embrittled grain boundary, but the dispersed fine compounds of Nb can be effectively pin the dislocations, and have outstanding solid solution strengthening effect, which is good for improving the strength, plasticity, and toughness of P92 steel.