bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Control System of Mountainous Multi-function Miniature Pile Drill WZFT
Authors: Liu Ruijun , Hou Zhongwei , Liu Quan , Ding Xiaowu 
Published: August 2021

Abstract
With the development of the power industry in China, in order to promote the further efficient and comprehensive development of the power industry in China, it is necessary to achieve precise mechanical automation in power engineering to meet the needs of the power industry in the new era, so that the level of automation of power machinery and equipment demand is higher and higher. Especially in the narrow, special field, mountain construction surface drilling operations of manpower and time cost of the project are heavier, to develop advanced first-class related drilling equipment is necessary, so as to improve the power industry punch into miniature pile operation automation level and efficiency, realize the equipment localization, To meet the requirements of high efficiency in the construction of power engineering, reduce the safety risk of construction personnel, greatly reduce the cost of the project, prevent soil erosion and protect the environment. The control system designed in this paper is to complete the power industry special multi-functional drilling equipment, to achieve the construction of drilling equipment used to drill into miniature piles, mainly through the open CAN bus control, and produced by Jiangxi Dongrui Machinery Co., Ltd., to achieve the control of high real-time and intelligence.
Research of Sponge City Landscape Planning Based on Landscape Security Pattern
Authors: Shi Yu , Li Jun , Shi Tiemao , Xiu Daixi , Chu Yaqi 
Published: August 2021

Abstract
With the rapid urbanization and increasing urban impervious areas in China, the construction of the sponge city has gradually turned to the urban ecological space planning. Based on the theory of landscape safety pattern, the construction of sponge city should improve the rainwater management system from multiple scales and enhance the functional of urban landscape space. Firstly, the paper describes the ecological basement elements of the sponge urban landscape safety pattern, as well as the steps and technical methods of sponge urban landscape planning. Secondly, taking Shenfu New City as an example to elaborate the method of sponge urban landscape planning from multiple scales, the landscape ecological planning. The approach is introduced into the theoretical method of sponge city construction, and the feasibility of the study is illustrated by verificationof model, which provides new ideas and methods for sponge urban landscape planning.
Research on Classification and Hierarchical Management of Industrial Data Based on Entropy Method-TOPSIS Theory
Authors: Xu Jian , Qiang Ren , Zhou Ziqi , Luo Wei , Yuan Qinglin , Cai He 
Published: August 2021

Abstract
In the era of accelerating digitalization, digital infrastructure is one of the most popular topics today, and digital infrastructure dominated by the industrial sector has become the vanguard of development. In response to this, industrial companies and platform companies attach importance to industrial data. Increasingly, the classification and hierarchical management of industrial data has become an indispensable procedure for the effective processing and safety management of industrial data. This article classifies the vertical data of each domain from the general process of industrial production, namely R&D, production, operation and maintenance, management and other classification domains, and according to the industrial production, self-economic benefits and social benefits brought by industrial data. Potential impact on industrial data can be classified by horizontal data classification of primary data, secondary data, and tertiary data from data features such as data importance, tamper-proof, and anti-corruption, and use entropy weight method to calculate the weight of each indicator feature and evaluate the data importance, and finally apply TOPSIS theory for data grading.
Convergence application of handle platform for industrial data classification and grading and 5G technology
Authors: Liu Jinquan , Huang Ying , Qiang Ren , Cai He , Yuan Qinglin 
Published: August 2021

Abstract
With the continuous upgrading of the national industrial Internet, the traditional application-centric data organization method has gradually been unable to meet the requirements of large-scale interoperability and sharing of industrial data and data security in the era of big data. With the help of the classification and grading of industrial data, cross-regional, cross-departmental, and cross-domain information query and sharing can be realized at the macro level; at the micro level, product information can be traced through identification analysis, and information can be achieved safely and controllably through its internal security management mechanism. In the field of industrial Internet, network equipment is usually required to have a large-scale connection expansion capability; in some fields such as telemedicine and industrial control, it requires the communication process to have low latency and high reliability capabilities; and in some areas such as autonomous driving and ultra-high-definition live transmission, the communication process requires the ability to transmit large-bandwidth data. Compared with 4G technology, 5G communication technology, its massive machine communication capabilities and high reliability and low latency characteristics make it a reliable technical guarantee for the Internet of Everything at this stage. Therefore, it is urgent to realize the integration of 5G technology and industrial data classification and grading technology. Based on the in-depth interpretation of the characteristics of 5G technology and the detailed description of the handle system, this paper proposes a method of fusion of the handle platform and 5G technology, laying the cornerstone for the effective implementation of industrial data classification and grading.
Architecture design of wireless access system in power grid application scenario based on 5th Generation Mobile Communication Technology small base station
Authors: Bai Jie , Xie Shimulin , Zhang Xiang , Fang Shuang , Li Zhirong , Nian Weifan 
Published: August 2021

Abstract
The use of digital radio station and GPRS public network is affected by false data, which leads to the small coverage radius of access network and the throughput is inconsistent with the ideal situation. In order to solve these problems, the architecture design of wireless access system in the application scenario of power grid based on 5G small base station is proposed. FPGA channel encoding and decoding is adopted to design base band processing unit, which is helpful to deploy the platform with other network virtualization functions. Using switch, we can get useful information through monitoring module, scheduling module and information description module. The abnormal data are detected by using RF processing unit. In view of the situation of the data produced by the switch having state mutation, the reliability factor is introduced to monitor the false data in real time. The operation status of open architecture wireless access network is analyzed, and the application scenario of power grid is determined. Thus, the non-interference wireless access network is deployed. The experimental results show that the coverage radius of the architecture is 15cm, the static scene throughput range is 26-33KB, and the dynamic scene throughput range is 45-59KB, which has good access effect.
Research on Power Flow Calculation of Distribution Network with Distributed Power Based on Optimal Multiplier
Authors: Zhang Xiaopeng 
Published: August 2021

Abstract
With a large number of distributed power connected to the grid, there are many new node types in the distribution network. The traditional power flow calculation method cannot be applied to the distribution network with multiple distributed generations. Three kinds of distributed power grid model such as synchronous machine, asynchronous machine and inverter are established, according to the characteristics of different distributed power. The P0 node model is proposed for nodes with reactive power output as active power output and terminal voltage function. To improve the condition number of Jacobian matrix included P0 node model, the optimal multiplier is introduced to correct Jacobian matrix. Through the simulation of a variety of operation mode in certain district grid, the results show that the introduction of distributed generation has effects on the process of power flow calculation. The optimal multiplier can effectively improve the ill-posed problem of power flow caused by P0 node model, and increase the fast convergence speed of power flow calculation.
Error Analysis of Directional Coupler for Lower Hybrid Wave Power Measurement
Authors: Ma Wendong , Zhao Lianmin , Wang Mao , Ding Bojiang , Liu Fukun , Shan Jiafang 
Published: August 2021

Abstract
As one of the important parameters for lower hybrid wave (LHW) systems with 24 4.6 GHz/250 kW continuous-wave klystron amplifiers, the microwave power needs to be accurately acquired in real time for the experimental advanced superconducting tokamak (EAST) experiment. A new 4.6 GHz/250 kW directional coupler was developed for power measurements in an LHW system. The design principle and characteristic parameters of the coupler are discussed based on transmission line theory and the system requirements. The calculations and simulations indicate that the measurement error of the incident power is less than 5% when the isolation is greater than 25 dB. The directional coupler was also applied to the 4.6 GHz LHW system. The results show that the device can meet the requirements of LHW system operations. Comprehensive Research Facility for Fusion Technology(CRAFT)is being built. This work is beneficial to the design of power measurement system for LHW system.
Research on system software reliability based on service component architecture
Authors: WenQinq Li , Chenguan Xu , Yao Rao , Liangliang Zhu , Yongxian Yi 
Published: August 2021

Abstract
Software reliability is an important index to evaluate system quality. Aiming at the web configuration system of service component architecture, this paper proposes a service process-oriented software reliability model, which analyses the service reliability from the whole service life cycle, and finally gives the comprehensive reliability calculation method of software. Using the method proposed in this paper, the service composition can be optimized in the system design phase, and the reliability of the whole software system can be improved.
Analysis of Port Container Sea-Rail Intermodal Transportation System
Authors: Chen Haizhou , Zhang Yi 
Published: August 2021

Abstract
With the continuous deepening of the China-Europe freight train, the interconnection of countries and regions along the “Belt and Road” has been accelerated, and railway transportation has become an important carrier and transportation backbone linking China-Europe road logistics, effectively promoting the new development of the geo-economics of China and Europe. The container sea-rail intermodal transportation system has developed rapidly. Based on the composition of the existing port container sea-rail intermodal transportation system, this paper use system analysis to describe its various subsystems, and analyzes the port container sea-rail intermodal transportation system composed of the external structure and the internal structure.
Partition Optimal Band Selection Method for Hyperspectral Image
Authors: Pan Yuetao , Xing Shishuai , Liu Danfeng 
Published: August 2021

Abstract
Hyperspectral data has the characteristics of large number of bands, narrow band width and large amount of data, which brings great difficulties to the further interpretation of the image. The partition optimal band selection(POBS) is proposed to select a certain number of bands according to the actual needs. The weight calculation formula of the band includes three parameters: standard deviation, information entropy and correlation coefficient, so it can be guaranteed that the selected band subset contains a large amount of information and low correlation. In addition, the whole band space is evenly divided into several band subspaces, and then the band with the largest weight is selected in each band subspace. The bands can be more dispersed through the uniform partition of the band space. It can ensure that the bands in the band subset are more representative. The classification test is carried out on two hyperspectral datasets by KNN method, and the classification results show that POBS selects a large amount of band information, and the divisibility of the ground object is good.
A Non-intrusive Load monitoring Algorithm Based on Seq2point
Authors: Zhang Zhen , Ma Junqiang , Li Menghou , Li Haofang 
Published: August 2021

Abstract
Aiming at the problems of long training time and poor decomposition performance of neural network in the application of Sequence-to-point deep learning method in the field of non-intrusive load monitoring, a non-intrusive load monitoring optimization model based on Seq2point was proposed. In this model, the training speed of the neural network is optimized by the forward gated recurrent unite, and the decomposition performance is improved by the median filter and the standardized data pre-treatment method. Experimental results on public data set AMPDS2 show that this algorithm can effectively improve the accuracy of load decomposition and shorten the training time of network.
Development and application of infrared imaging check and evaluation system
Authors: Fucu Huang , Dongpeng Sui , Ye Zhao , Chang Liu , Zhinan Guo , Yanan Wang 
Published: August 2021

Abstract
According to the parameters of various kinds of infrared imaging equipment was performance full automatic detection and evaluation of research in this paper. The evaluation system will to accuracy, slit function (SRF), minimum resolvable temperature difference (MRTD), minimum detectable temperature difference (MDTD) and noise equivalent temperature difference (NETD) and other parameters as the basis, the establishment of infrared imaging evaluation system database, to convergence of digital interface to realize automatic detection and evaluation of infrared imaging device, solving the technical problem of performance evaluation of grid infrared imaging equipment, ensure the accuracy of condition based maintenance for power transmission system.
Consumer-Transformer Relationship Identification Based on Two-scale similarity and SC Algorithm
Authors: Lai Xuanping , Liu Siyangjie , Cao Min , Nie Yongjie , Zhao Tengfei 
Published: August 2021

Abstract
In view of the chaotic relationship between user-transformer in the current low-voltage stations, manual identification consumes a long time period, low identification accuracy, and high input system costs. This paper proposes a method for identifying household change relations in low-voltage stations based on dual-scale similarity and spectral clustering algorithm. First, according to the different similarities of user voltage curves in different stations, consider Euclidean distance and cosine distance to establish a two-scale spectral clustering similarity matrix from the distance and shape of the voltage curve. Then based on the two-scale similarity matrix, perform spectral clustering on the voltage curves of the same station area to complete the clustering of users in the same station area. Examples show that the method proposed in the article has high recognition accuracy, low input cost, and has good application effects.
SSD Model Selection Method Based on Machine Learning Algorithm
Authors: Yang Bing , Yang Hong , Zhang Chengmei , Wang Yajie , Hao Miao 
Published: August 2021

Abstract
The chemical pollutants produced by human activities often lead to the risk of ecological species diversity destruction by affecting the physiological activities of organisms in nature. Ecological risk assessment (ERA) can be used to evaluate the degree of adverse effects of external factors on the ecological environment, provide the basis for taking effective ecological protection measures and formulating reasonable environmental policies, and also an important means to understand the possible adverse effects of ecological health and pollutants on the ecological environment. The species sensitivity distribution (SSD) method is a widely used evaluation method, and its core step is to select the appropriate species toxicity data for curve fitting. In this paper, the basic concept of ecological risk assessment is briefly introduced, and the basic principle and implementation steps of species sensitivity distribution method are described in detail. Aiming at the problem of SSD model selection in water environment, machine learning algorithm is introduced, and corresponding neural network is constructed. Taking the root mean square (RMSE) and sum of squared error (SSE) were as the index, the optimal SSD model suitable for water environment is determined, The SSD model selection method based on machine learning algorithm is obtained. At last, the application of machine learning algorithm in SSD model selection is prospected, and the shortcomings of the existing research and the future research direction are pointed out.
Dam Deformation Prediction Based on Modified Grey Wolf Optimization Algorithm and Support Vector Machine
Authors: Mingjun Li , junxing Wang , Jiangyang Pan , Cheng Peng , Songzhang Li 
Published: August 2021

Abstract
The establishing of an accurate and reliable dam deformation prediction model is an important content of dam safety evaluation. To this end, a dam deformation prediction method based on support vector machine (SVM) with optimal parameters selected by improved grey wolf optimization algorithm (IGWO) is proposed by introducing the crossover and mutation operators of the differential evolution algorithm into the GWO algorithm. The initial population is enriched by the differential evolution algorithm, an IGWO is proposed, and the penalty factor and kernel function of SVM are optimized by the IGWO algorithm, then a dam deformation prediction model based on the SVM-IGWO algorithm is established. The results will be compared with those of the SVM and SVM-GWO models through the measured data of Xiluodu super high arch dam. The research shows that the proposed SVM-IGWO model can effectively improve the accuracy of dam deformation prediction.
Design of analog electromagnetic launcher based on STM32
Authors: Zhang Xu , Shao Huazhuang , Zhang Guoyun , Zheng Zimeng 
Published: August 2021

Abstract
In order to improve the accuracy of the electromagnetic launching system, this paper designs a simulated electromagnetic launching device based on STM32 MCU, which takes the steering gear pylons as the motion system, the solenoid coil as the launching system, and the capacitor as the energy storage element. After collecting data, the microcontroller controls the deflection of the pylon steering gear to adjust the launching Angle or the control transformer to adjust the launching voltage, and then controls the charging or discharging of the capacitor to provide energy for the launching device to launch the projectile. Two modes, automatic and manual, are designed. The former takes OpenMV as the target identification and ranging device, and transmits data to SCM through serial communication. The latter can be displayed on the OLED screen by entering the target position through a manual key. The launcher simulates the real electromagnetic launcher and realizes the automatic and accurate launch of the projectile.
Research on a Costmap that can Change the Turning Path of Mobile Robot
Authors: Wen Hao , Yang Jiamin 
Published: August 2021

Abstract
In the field of mobile robots based on ROS (Robot Operating System) platforms, A*, Dijkstra, and BFS (Breadth First Search) are widely used to obtain the shortest path. This approach, however, often results in paths that are close to the obstacles located in corners. In practical applications, cumulative positioning errors in the navigation process are produced by aging components, skidding wheels and so on. In addition, the local path planning of the robot does not completely follow the global path planning, so the robot may easily cross the inflation of the costmap and collide with obstacles when turning. This paper proposes a method to change the turning path of the robot by adding virtual obstacles to the obstacles in map corners. A global path is generated by the path planning algorithm along the virtual obstacle so that the robot can travel along a smooth track that is far from the obstacle when turning. The proposed algorithm ensures that the robot remains far from physical obstacles and avoids collisions.
Research ON Satellites Fault Diagnosis Method Based On Artificial Intelligence
Authors: Song Kezhen , Zhao Chen , Liu Jie , Zhang Hao , Li Zhiyu 
Published: August 2021

Abstract
In order to enable satellites to use fault diagnosis, fault prediction, failure prediction and other data models to determine the health status of satellites autonomously, According to the statistics of satellite orbit faults, this paper gives an artificial intelligence-based satellite fault diagnosis method and compares the advantages and disadvantages of three different satellite fault diagnosis methods to ensure that when a satellite fault occurs, it can implement autonomous reconfiguration, redundancy switching, autonomous mode switching or downgrade use when its own conditions allow The study ensures that when a satellite failure occurs, it can implement autonomous reconfiguration, redundancy switching, autonomous mode switching or downgrade use when its own conditions allow, ensuring the safety of satellite operation in orbit. Through the analysis of the application of typical fault diagnosis methods for a satellite control subsystem, it can be seen that artificial intelligence-based satellite fault diagnosis methods have gradually replaced traditional methods and become the core key technology for the future application of autonomous satellite health management system in orbit, which is also one of the core functions that future software-defined satellites should have.
Design and Implementation of a New-energy Self-purification Device for Domestic Sewage
Authors: Jie Shen , haichen Yu 
Published: August 2021

Abstract
The self-purification MBR system for domestic sewage is commonly used in living areas, scenic spots, and industrial sites, for remote areas and other regions where energy supply is inconvenient. The new energy system provides energy to the sewage treatment system, and achieves remote monitoring, which is of substantial significance for saving energy to reduce pollution. In this paper, three modes of power generation, namely, photovoltaic, wind and temperature difference, are employed for domestic sewage purification systems, and a reasonable energy supply and energy control strategy is proposed according to the conventional water treatment; and then a new-energy self-purification system for domestic sewage is designed and experimented with supplying and consuming quantity, tracking the system-consumed energy and water quality data for one year, so as to present that the equipment has good application prospects.