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Day 1 27/06/2020
Room #1

Organizing Committee Welcome 08:30 - 08:40

Starts at 8:30 Harbin time zone

Conference Manager's Message 08:40 - 08:50

Welcome message from Conference Manager and EAI

Keynote 1: Prof. Weixing Li 08:50 - 09:30

Keynote2: Prof. Fen-Yi Meng 09:30 - 10:10

Coffee Break 10:10 - 10:20

10 minutes

Communication engineering #1 10:20 - 12:20

10:20 - 10:35
Path Planning of Mobile Robot Based on Simulated Annealing Particle Swarm Optimization Algorithm

In order to solve the problem of premature convergence of traditional particle swarm optimization (PSO) algorithm in path planning, which is easy to fall into local optimal solution and poor path quality, this paper proposes the corresponding PSO algorithm of simulated annealing optimization. When planning the path of mobile robot, it analyzes the effect of initial temperature and cooling coefficient on path length and iteration times in the main parameters of simulated annealing algorithm. And deduce the law of its change and seek the optimal parameter matching. Simulated annealing algorithm can not only move the updated particle position according to the particle swarm optimization formula, but also select the updated position with a certain probability, so as to avoid the particle falling into the local optimal solution in the whole iterative process, and improve the global optimization ability. The simulation results show that compared with the traditional PSO algorithm, the simulated annealing PSO algorithm in complex environment has better optimization ability, shorter path and fewer iterations.
Authors: Jie Zhao (Heilongjiang University of Science and Technology), Xuesong Sheng (Heilongjiang University of Science and Technology), Jianghao Shi (Heilongjiang University of Science and Technology),
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10:35 - 10:50
Modulation recognition of digital signal based on decision tree and support vector machine

The modulation recognition of digital signal is widely used in the field of communication. In this paper, a decision tree modulation recognition algorithm based on feature extraction and a conventional classifier recognition based on SVM are proposed. 9 kinds of common digital signals are identified and simulated. The results show that the recognition rate of SVM classifier and decision tree is high at low SNR
Authors: Fugang Liu (Heilongjiang University of Science and Technology), Ziwei Zhang (Heilongjiang University of Science and Technology), Zhaoju Jia (Heilongjiang University of Science and Technology), Shuang Zheng (Heilongjiang University of Science and Technology),
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10:50 - 11:05
High-precision harmonic analysis algorithm based on five-term MSD second-order self-convolution window four-spectrum line interpolation

Windowing and interpolation algorithms can effectively suppress the spectral leakage and fence effect of fast Fourier transform (FFT) during asynchronous sampling and non-integer period truncation, and improve the accuracy of harmonic detection. In view of the shortcomings of the commonly used windowing interpolation algorithms, based on the analysis of the five maximum sidelobe attenuation (MSD) window spectral characteristics, five MSD windows are selected as the mother window to construct five MSD self-windows. A convolution window and a harmonic analysis algorithm based on the five-term MSD second-order self-convolution window four-spectrum-line interpolation FFT. A simple and practical four-spectrum line interpolation correction formula was derived by means of polynomial fitting. Simulation results show that the algorithm has higher detection accuracy in amplitude, phase and frequency than other commonly used windowed interpolation algorithms.
Authors: Xiangxiang Qu, Qingjiang Yang (Heilongjiang University of Science and Technology),
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11:05 - 11:20
Research on Sales Forecast of Electronic Products Based on BP Neural Network Algorithm

In order to solve the problem that the production volume and sales volume of electronic products cannot be matched in time, it is necessary to predict the order and sales volume, and then effectively control the production volume of manufacturers. This article first introduces the basic steps of implementing the BP neural network algorithm, and then uses MATLAB software to fit the original data based on the BP neural network algorithm to predict the sales volume of the latest generation of products sold by customers to customers in the next 20 weeks and the latest generation of products in different sales. The region's order volume in the next 20 weeks, and according to the forecast results to provide enterprises with production decisions to achieve timely matching of production volume and sales volume.
Authors: Linan Sun (Heihe university,Heihe 164300, China), Guanghua Yu (Heihe university,Heihe 164300, China), Zhuo Zhang (Department of Statistics, Heihe University),
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11:20 - 11:35
Text Mining and Analysis of Meituan User Review Text

Based on the current situation of the market, this paper obtains related data of online user reviews on Meituan the online food delivery platform by soft wares and implements preprocessing and mining by language correlation function, and finally draws a conclusion that judging from the mining results of the featured words and the emotions in the reviews, the Meituan platform and its food delivery service have been evaluated by users as being cheap, economical, convenient and fast, and the key elements that users concern regarding to the merchant rating are the merchant’s attitude, the delivery man’s attitude, the food taste and the food security respectively.
Authors: Wang Yongjuan (Heihe College), Yu GuangHua (Heihe University),
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11:35 - 11:50
Research upon the smart diving suit based on visible light communication

Due to the the poor anti-noise performance and high delay of the traditional underwater communication technology in the signal transmission process, the safety of divers is potentially threatened in the complex underwater environment. To solve this problem, this paper designed a real-time monitoring of physiological data smart diving suit. Based on the addition of sensor functions to diving suits, this paper researched the overall architecture of visible light communication model. Taking advantage of the high transmission rate and strong stability of visible light communication, this paper used blue LED light source for signal transmission, which was simulated and testing. The results show that the basic requirements of underwater data transmission are satisfied within a certain communication distance. This provides a reference for further research on underwater communication technology.
Authors: Yang ZHOU (Dalian Polytechnic University), Jinpeng Wang (Dalian Polytechnic University), Xin Guan (Dalian Polytechnic University), Ailing Zou (Dalian Polytechnic University), Nianyu Zou (Dalian Polytechnic University),
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11:50 - 12:05
Extraction of Baseline based on Second-Generation Wavelet Transform

In the analysis of signals processing, due to the various kinds of interference in the transformation and sampling of the analytical instruments, the baseline of the signals is presented in the upper and lower drift. The upper and lower baseline could affect the accuracy of quantitative calculation, analysis and evaluation. In the study, the principle of second-generation wavelet is discussed and introduced to extract the baseline. The features of signals are analyzed and the quantitative accuracy of components has been significantly improved by the baseline extraction. The second-generation wavelet method successfully realizes the split of baseline from the signal peak with high efficiency and is easy to be implemented.
Authors: Jiancai Wang (Hei longjiang University of Science and Technology),
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12:05 - 12:20
Image matching algorithm based on improved ORB feature extraction

ambient illumination is an important factor affecting the high mismatching rate of single threshold image matching algorithm. Therefore, this paper proposes a local dynamic threshold extraction algorithm. This algorithm needs to perform light homogenization processing in the image preprocessing stage and calculate the appropriate threshold of each pixel for feature point judgment during feature extraction, which can effectively alleviate the problem of missing extraction and multiple extraction during feature extraction of a single threshold.
Authors: yang qingjiang (Heilongjiang University of Science and Technology), Shan chuang (Heilongjiang University of Science and Technology),
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16:00 - 16:20
The Crawl and Analysis of Recruitment Data Based on the Distributed Crawler

Because of the rapid development of Internet, how to efficiently and quickly obtain useful data has become an importance. In this paper, a distributed crawler crawling system is designed and implemented to capture the recruitment data of online recruitment websites. The architecture and operation workflow of the Scrapy crawler framework is combined with Python, the composition and functions of Scrapy-Redis and the concept of data visualization. Echarts is applied on crawlers, which describes the characteristics of the web page where the employer publishes recruitment information. In the base of Scrapy framework, the middleware, proxy IP and dynamic UA are used to prevent crawlers from being blocked by websites. Data cleaning and encoding conversion is used to make data processing.
Authors: Jiancai Wang (Hei longjiang University of Science and Technology), Jianting Shi (Hei longjiang University of Science and Technology),
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Lunch 12:20 - 12:50

30 minutes

Communication engineering #2 12:50 - 14:50

12:50 - 13:05
The influence of word attribute information and word frequency information on the concreteness effect of words

Using ERP recording technology to explore the neural mechanism of the effect of word information and word frequency information on concreteness. Experiment 1: under the lexical judgment task, the relationship between the two variables was investigated. The results showed that (1) in N2 and P3 time window, there were differences between noun and verb processing; (2) in P3 time window, concrete words and abstract words appear separate; (3) in the process of N400, there are differences in the processing of nouns and verbs, concrete words and abstract words. In experiment 2, under the vocabulary judgment task, frequency and vocabulary type were taken as independent variables. The results showed that (1) in N2 time window, high frequency vocabulary and low frequency vocabulary processing were separated; (2) in P3 time window, noun and verb processing differences, concrete and abstract words began to appear separate; (3) in N400, there are differences in the processing of nouns and verbs, concrete words and abstract words. The results suggest that in the case of presenting Chinese double word alone, (1) word attributes and word types affect lexical concreteness effect independently; (2) Word frequency and word type collectively affect the concreteness effect; (3) The concreteness effect occurs in the range of low-frequency vocabulary; (4) the processing of concreteness effect of Chinese two-character words supports a single semantic processing model.
Authors: Xue Sui (The school of psychology, Liaoning Normal University), Fang Sun (Liaoning Normal University),
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13:05 - 13:20
Modeling and Derivation of Small Signal Control Mod-el for Grid-connected Inverters

With the development of new energy power generation technology, more and more areas are strengthening the construction of new energy power generation facilities. However, due to the instability of new energy, the traditional modeling method has a huge workload. It is a new choice to model the impedance of the system in two-phase rotating coordinate system, but there is no reference for the derivation of the impedance control model and mathematical model. In order to reduce the workload of more complex impedance modeling, this paper will corre-spond the main control model and mathematical model of the small signal model of Grid-tied inverter in Matlab / Simulink. Among them, the most important part of the control model is the model building of PLL, which includes two parts: power control and current control.
Authors: PengYu An (Heilongjiang University of Science and Technology), Xunwen Su (Heilongjiang University of Science and Technology), Xianzhong Xu (Heilongjiang University of Science and Technology), Wenhui Zhu (Heilongjiang University of Science and Technology),
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13:20 - 13:35
Performance analysis of signal detection algorithm in data link system

Data link is a kind of message formats and communication protocols, according to the rules in the sensor, charge system and weapon platform between real-time transmission and processing of tactical data information system. Through the data chain, can be geographically dispersed units, all kinds of sensors and weapon system to establish a seamless link to realize information sharing, improve the speed and cooperative engagement capability command.In order to improve the communication rate of data link system, multiple input multiple output (MIMO) technology is introduced into data link system of signal detection techniques in MIMO system affects the performance of data link system, this paper mainly introduces the ZF and MMSE, ZF OSIC, MMSE OSIC detection performance of four kinds of algorithm, the simulation results show that the detection performance optimal MMSE - OSIC algorithm, followed by ZF - OSIC, MMSE, ZF the worst performance of the algorithm.
Authors: Jiang Xiaolin (Harbin institute of technology), Qu Susu (Heilongjiang university of science and technology), Tang Zhengyu (Heilongjiang university of science and technology),
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13:35 - 13:50
Detection algorithm of compressed sensing signal in gsm-mimo system

For the generalized spatial modulation in the underdetermined system with the number of transmitting antennas larger than the number of receiving antennas, the activation of the antenna is small and inaccurate. The traditional MMSE algorithm and the ZF algorithm still perform the pseudo-inverse operation on the entire channel matrix, which results in a large number of redundancy. Although the ML algorithm has the best detection performance, the complexity is difficult to meet the actual requirements. In this paper, for the sparse characteristics of GSM signals, a detection algorithm is improved based on the compressed sensing recovery algorithm SWOMP. The algorithm first selects multiple or one active antenna sequences conforming to the spatial modulation to form an index set according to the situation, and then uses the backtracking principle to select the atomic column according to the threshold, rejects the unreliable sequence, and finally uses the minimum mean square error algorithm to detect the modulation symbol according to the activated antenna index. The pseudo-inverse operation of the entire channel matrix is avoided, and the bit error rate is lower than the ZF algorithm, the MMSE algorithm and the OMP algorithm, and the performance of the proposed algorithm is closer to the ML algorithm, which is a better way that balance between complexity and detection performance.
Authors: jiang xiaolin (Heilongjiang university of science and technology), Tang zhengyu (Heilongjiang university of science and technology), Qu Susu (Heilongjiang University of science and technology),
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13:50 - 14:05
Study on 3D reconstruction of plant root phenotype based on X-CT technique

The change of the global climate in recent years influences the adaptability of plant roots to the soil environment. Detecting the plant roots in the original soil environment without destroying and moving them and analyzing, processing and reconstructing the root image requires the improvement of technology. Firstly, in order to conduct the in-situ non-destructive measurement of root system in soil, this paper investigates and studies the three-dimensional imaging of plant root phenotype using X-CT technology. Secondly, in order to examine the feasibility of the segmentation methods applied in medical image analysis in root CT images, the experiments of segmentation using fuzzy clustering of CT images were designed. The segmentation results of root features obtained from 10, 30 and 50 times clustering algorithms for the in-situ root CT images are analyzed with FCM (Fuzzy C-Means) algorithm. The experimental results show that the traditional medical image segmentation method does not produce a good segmentation effect in this particular environment.
Authors: Jinpeng Wang (Dalian Polytechnic University), Xin Guan (Dalian Polytechnic University), Yang ZHOU (Dalian Polytechnic University), Kemo Jin (China Agricultural University), Nianyu Zou (Dalian Polytechnic University),
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14:05 - 14:20
The Research and Implementation of Image Style Conversion Algorithm Based on Deep Convolutional Neural Network

With the development of deep learning and image technology, deep convolutional neural network has been widely used to deal with image problems. In this paper, the pretrained vgg-19 convolutional network model is adopted to extract and define the loss function according to the image characteristics, and preset model parameters. The model training is completed through reverse propagation gradient descent and optimization iteration, and finally the artistic painting style conversion of photos is realized. At the same time, by adjusting the size of style weight and content weight, the output image is more inclined to the style picture, or more inclined to the content picture. Finally, the objective evaluation of the output image is has been completed by comparing the image style conversion results of the TensorFlow and the PyTorch. The results show that under the same iteration times, the PyTorch framework has relatively small computation, fast processing speed, and better image color retention effect, while the TensorFlow framework retains more features of style images.
Authors: Huang Yaoqun (Heilongjiang University Of Science And Technology),
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14:20 - 14:35
Communication Model and Performance Analysis of Frequency Modulation-Correlation Delay-Orthogonal Chaotic Phase Shift Keying

In the Multi-ary chaos shift keying communication represented by CD-QCSK, each symbol carries multiple information bits, which can effectively improve the transmission rate. Since the bit energy of chaotic carrier is not constant, which may easily lead to misjudgment when receiving. Based on the feasibility study of combination in FM modulation and CD-QCSK communication, this article proposes a multi-ary FM-CD-QCSK communication model of frequency modulation-correlation delay-orthogonal chaos shift keying. By the FM modulator, The chaotic signal is changed into the carrier signal with constant envelope and random change of frequency within a certain range, so that each symbol has equal bit energy for transmission to improve the anti-interference and anti-noise ability of the system effectively. The simulation results show that, whatever the spreading spectrum factor changed, compared with existing Multi-ary chaos shift keying communication QCSK and CD-QCSK, the FM-CD-QCSK has better error performance and can better meet the requirements of high rate and communication quality under the same signal to noise ratio.
Authors: Juan Wang (Heilongjiang University of Science and Technology), Wei Li (Heilongjiang University of science and technology), Zhiming Qi (State Grid Liaoning Maintenance Company), Shu Wang (State Grid Anshan Power Supply Company),
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14:35 - 14:50
A multicast routing Algorithm under the delay-restricted network environment

Nowadays, the network is expected to service much more multimedia data with the improvement of the network communication bandwidth and development of the processing capacity. In the multicasting communication system, once every re-ceiving end separately sends the data packets, the network resources intend to be wasted, and the calculating stress on the nodes is also going to be increased. A distributed delay-restricted multicast route heuristic method DMPH (delay-constrained minimal-cost path heuristic) is presented in this article. This algorithm proposed in the article can achieve a convergence speed, back up dynamic mul-ticast, and offer the pretty good the network overhead performance. In order to gain the better performance of the network cost, the article firstly proposes a mathematical topological model of the problem over the delay-constrained mul-ticast routing, and then presents a dynamic multicast delay-restricted multicast route algorithm which is called DMPH (Delay-Constrained Minimal-Cost Path Heuristic), fast-convergent and distributed. The computing simulation results suggest that the method pro-posed can gain the better performance of the network cost. In addition, the article just addressed the operation of the addition and quit of the nodes on the dynamic varying of the multicast group, but not concerned the over-head optimal. These problems mentioned above are all our future research work.
Authors: Jinpeng Wang (Dalian Polytechnic University), Xin Guan (Dalian Polytechnic University), Yang Zhou (Dalian Polytechnic University), Fan Cao (Dalian Polytechnic University), Nianyu Zou (Dalian Polytechnic University),
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Coffee Break 14:50 - 15:00

10 minutes

Electrical engineering #1 15:00 - 17:00

15:00 - 15:15
Research on Multi-disciplinary Museum Lighting Design's Emotional Response to Visitors A Case Study of Dalian Modern Museum

The main research direction of this article is to explore the artificial lighting of the museum emotionally through the innovative thinking and design methods of multidisciplinary cross integration. Three main innovations are proposed: 1. Analysis of tourist demand and space theory. 2. Use creative thinking to solve the relationship between optical engineering and visitors' time in the exhibition area. Third, use interactive formulas to quantify emotions. This experiment takes the Dalian Modern Museum as the research object. First, according to the needs of visitors, the size of the exhibition space is analyzed and discussed in terms of the museum's space division and craft route. Under a certain space size condition, the area illuminance, color temperature and color rendering index were measured, and the obtained data were analyzed and analyzed. Under different light environment conditions, the relationship between the R9, Rf and Rg values of the color rendering index and the stay time of visitors in the exhibition area was obtained. Finally, the factor analysis method was used to analyze the experimental data, and the emotional models of small and medium-sized museums and large museums were established, which provided good support for the emotional design of artificial lighting and evaluated it. It has creative thinking and research significance.
Authors: Dan Zhu (Dalian Polytechnic University), Zhisheng Wang (Japan Advanced Institute of Science and Technology), Yukari Nagai (Japan Advanced Institute of Science and Technology), Cong Zhang (Dalian Polytechnic University), Haiwen Gao (Dalian Polytechnic University), Nianyu Zou (Dalian Polytechnic University),
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15:15 - 15:30
Short term wind power prediction based on wavelet transform and BP neural network

Due to the characteristics of random and uncontrollable wind power, wind power generation has great randomness. The accuracy of wind power prediction is of great significance to the safe and stable operation of large-scale wind power access power system. When BP neural network is used alone, many uncontrollable features will appear. Therefore, this paper proposes a prediction model of electric power based on wavelet neural network. The addition of wavelet can further refine some periodic and nonlinear features of electric power. The simulation results show that the prediction effect of this model is better than that of BP neural network.
Authors: Shuang Zheng (Heilongjiang University of Science and Technology), Zhaoju Jia (Heilongjiang University of Science and Technology), Ziwei Zhang (Heilongjiang University of Science and Technology), Fugang Liu (Heilongjiang University of Science and Technology), Long Han (Heilongjiang University of Science and Technology),
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15:30 - 15:45
Transformer Fault Diagnosis Based on BP Neural Network by Improved Apriori Algorithm

With the continuous expansion of power system, it is increating that the fault rate of transformer equipment in power system . Through the fault diagnosis technology, it can be found that the transformer fault in advance, the accident rate is can taken to reduce by measures in time, so the high accuracy of transformer fault diagnosis is required. In this paper, the BP neural network based on the optimized Apriori algorithm which is used to diagnose the transformer fault.It is found that the Apriori algorithm reveals association rules by mining the high frequency term of feature data. The data is directly analyzed and infered to achieve the purpose of simplifying data association by rough set algorithm. Apriori algorithm combines the rough set is used to accurately mine the confidence of association rules between feature and running state, which is used as the weight of BP neural network link,it is simplifying the complexity of data training. Through the simulation experiment,this new method is compared with the traditional BP neural network method, it has the advantages of high accuracy and fast speed of fault diagnosis, and has certain practical value.
Authors: Chang Guoxiang (Heilongjiang University of science and technology), Gao Qiaoli (Heilongjiang University of science and technology), Gao Xinming (Shandong Transport Vocational Vollege), Cheng Junting (Heilongjiang University of Science and Technology),
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15:45 - 16:00
Research on Sub-synchronous Oscillation in Wind-HVDC-Thermal System

To comply with the characteristics of energy and source-load inverse distributed, the thermal-wind bundling system has been used in the grid of our country, such as Hami-Zhengzhou UHVDC channel and Jiuquan wind farm base power delivery channel. But it can induce some stability problem like sub-synchronous oscillation, especially in some limit operation state. This paper build a wind-thermal bundling system with HVDC in PSCAD/EMTDC simulation software, then by means of changing DC line parameter and manual putting 3-phase fault into inverter side PCC three aspects to explore the factor that en-tails SSO phenomenon. In conclusion, parameter mismatch and DC fault and so on factor can induce SSO phenomenon.
Authors: Yuming Pei (Heilongjiang University of Science & Technology), Xunwen Su (Heilongjiang University of Science & Technology), Hanqing Cui (Heilongjiang University of Science & Technology), Rongbo Ma (Heilongjiang University of Science & Technology),
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16:00 - 16:15
Modeling and simulation of photovoltaic grid-connected system

Based on the physical model of the photovoltaic cell and the output characteristics of the photovoltaic array under different light intensity and ambient temperature, the maximum power tracking control based on Boost circuit is theoretically analyzed and realized, the working principle of the three-phase grid-connected photovoltaic inverter is discussed, and the three-phase grid-connected photovoltaic system is built in the PSCAD/EMTDC. The PSCAD simulation software was used to build the input mode of the 15MW photovoltaic power station, and the parallel network was simulated. This paper analyzes its influence on power quality of power grid, and finally proposes a feasible solution and carries out simulation verification.
Authors: Dongni Zhang (Heilongjiang University of Science and Technology), Xunwen Su (Heilongjiang University of Science and Technology), Xianzhong Xu (Heilongjiang University of Science and Technology), Dawei Wang (Heilongjiang University of Science and Technology), Siyu Chen (Heilongjiang University of Science and Technology),
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16:15 - 16:30
Summary of fault line selection for single-phase grounding in small current systems

At present, the theory of small current grounding fault line selection mainly focuses on solving the reliability problem of urban power supply system.This paper analyzes and compares the existing fault line selection theories applicable to the mine power supply system and other industrial sites, providing theoretical guidance for the study of fault line selection in special occasions such as mines.
Authors: Xianhui Zhu (Heilongjiang University of Science and Technology), Youwei Jian (Heilongjiang University of Science and Technology), Nan Shi (Heilongjiang University of Science and Technology), Pin Lv (Heilongjiang University of Science and Technology), Yue Yu (Heilongjiang University of Science and Technology),
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16:30 - 16:45
Design of Forum Log System Based on Big Data Analysis

By clicking on the log data saved by the website,using the big data means to analyze and mine the information stored by massive data,many crucial information of website operation can be learned.This paper adopts Hadoop distributed platform,uses HDFS data storage and Hive to analyze log big data,designs a Web log analysis system and expounds the design process of the system.
Authors: Guanghua Yu (school of computer and informaion engineering, Heihe University), Linan Sun (Engineering,Heihe), yongjuan wang (Engineering,Heihe),
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16:45 - 17:00
Research on SSO Influence with consideration of Topology Structure Based on CTC Analysis Method

In order to study the phenomenon of subsynchronous oscillation(SS0) in thermal power plants considering different topologies. Based on the IEEE first standard model, this paper uses the PSCAD simulation platform to build models of differ-ent topological structures of thermal power plants. The complex torque coefficient (CTC) analysis method is used to obtain the electrical damping (De) in each to-pology, and sub-synchronous oscillations occur in each model The analysis shows that the topological structure will affect the sub-synchronous oscillation. The more complex the topology is, the stronger the ability to withstand the sub-synchronous oscillation is verified by time-domain simulation.
Authors: Hanqing Cui (Heilongjiang University of Science & Technology), Xunwen Su (Heilongjiang University of Science & Technology), Yuming Pei (Heilongjiang University of Science & Technology), Shiyan Zhao (Heilongjiang University of Science & Technology),
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Day 2 28/06/2020
Room #1

Electrical engineering #2 08:30 - 10:00

08:30 - 08:45
Study on Winding Force Distribution of Huge Nuclear Power Turbo-generators

Unlike other polluted energies, the nuclear power is a novel energy which has the characteristics of clean, green and saving material. Due to the unbalanced power flow in the power system or on the load, the winding force appears large amount of harmonics and they are linked to the sound operation of the nuclear plant. In this paper, firstly the technology related nuclear power is discussed and the present central technology is reported. Then based on the experimental data, the finite element model of a third generation huge nuclear power turbo-generator is established. The arrangement of the field winding is given and the law of the field winding force distribution is discussed. And under unbalanced load, the constant forces of each field winding are found. This could bring new technology for the nuclear power turbo-generators safe running and fault diagnosis. The easiest damage part in field winding is shown and the conclusions in this paper give very useful information for future design of nuclear power turbo-generators.
Authors: Pin Lv (China University of Mining and Technology), Xiaojie Wu (China University of Mining and Technology), Xunwen Su (Heilongjiang University of Science and Technology), Xianhui Zhu (Heilongjiang University of Science and Technology), Ying Yang (Heilongjiang University of Science and Technology), Weiguang Zhao (Heilongjiang University of Science and Technology), Peng Xin (Jilin Institute of Chemical Technology),
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08:45 - 09:00
The Fuzzy Sliding Mode Variable Structure Control for Direct Flux Oriented Vector Control of Motor

.In this paper, a vector controller based on fuzzy sliding mode variable structure is designed for the influence of nonlinear and variable parameters on the performance of the system. On the basis of establishing the mathematical model of the asynchronous motor in the synchronous rotation orthogonal coordinate system oriented by the rotor flux, a sliding mode variable structure speed regulator using the exponential approach law is designed. The stability of the system is proved by the Lyapunov stability theorem, and the chattering of the system is reduced by the fuzzy algorithm. The simulation results show that compared with the traditional PI controller and the conventional equivalent sliding mode controller, the fuzzy sliding mode variable structure vector control system has better speed regulation performance, smaller torque ripple, and improves the robustness and anti-interference ability of the system.
Authors: Jie Zhao (Heilongjiang University of Science and Technology), Peng Wang (Heilongjiang University of Science and Technology), Zunhui Ge (Heilongjiang University of Science and Technology),
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09:00 - 09:15
Parameter identification of six-order synchronous mo-tor model based on grey box modeling

As the "heart" of power system, synchronous generator's accurate model param-eters are the basis of power system simulation, operation analysis and fault diag-nosis, and also have a very important impact on the operation analysis of power grid. This paper introduces the mathematical model of the sixth-order synchro-nous generator and establishes the incremental model for its identification. The method of grey box modeling and nonlinear least square method are used to iden-tify the parameters of the sixth-order synchronous generator. The generator data when the single-phase short circuit of the power system is obtained, in PSASP simulated software. A program for synchronous machine parameter identifica-tion is written, and then the result verifies the validity of this approach.
Authors: Xianzhong Xu (Heilongjiang University of Science and Technology), Xunwen Su (Heilongjiang University of Science and Technology), Dongni Zhang (Heilongjiang University of Science and Technology), Pengyu An (Heilongjiang University of Science and Technology), Jian Sun (Heilongjiang University of Science and Technology),
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09:15 - 09:30
Ultrasonic power supply of oil-water separation system

With the continuous development of oil field, the recovery and recovery of crude oil are gradually reduced, and the water content ratio of oil field production is higher and higher. The ultrasonic oil-water separation technology can improve this situation. The performance of ultrasonic power supply directly affects the reliability and economic benefit of oil-water separation system, which is an important part of the system. This paper introduces an ultrasonic power supply with high efficiency and strong stability. This power supply mainly adopts inverter technology to realize the continuous regulation of output voltage and working frequency. Matlab simulation experiment shows that the output voltage of H-bridge is positive and negative pulse waveform, and the output current is sine wave; reasonable setting of parameters can ensure that the output voltage amplitude is 0 V ~ 100V, and the frequency is 15KHz ~ 35kHz, which meets the actual production demand. The results show that the ultrasonic power supply designed in this paper has good output characteristics and can provide energy to the transducer efficiently and reliably, which is of great significance to the practical application of the ultrasonic oil-water separation system.
Authors: AnHua Wang (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology), DongDong Wan (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology, Harbin 150022, China), HongKai Ding (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology, Harbin 150022, China),
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09:30 - 09:45
SOC Estimation of Ternary Lithium Battery Based on Interpolation Method and Online Parameter Identification

The state of charge (SOC) of lithium-ion batteries has always been an important detection indicator in the battery management system (BMS) of electric vehicles. Not only can the remaining available capacity of the battery be directly judged based on the SOC of the battery, but also the electric vehicle can also be judged by this. Remaining miles driven. In order to estimate the state of charge, this pa-per first builds a second-order RC equivalent circuit model for lithium batteries. An improved recursive least squares (FFRLS) method with forgetting factor for online parameter identification is used to test the battery. The parameter identifica-tion of the model and the linear Kalman filter will lead to a large estimation error, which cannot meet the needs. Therefore, this paper uses extended Kalman filter (EKF) to estimate the SOC, and simulates based on the experimental data of lithi-um-ion batteries to estimate the result of the state of charge.
Authors: Dawei Wang (Heilongjiang University of Science and Technology), Ying Yang (Heilongjiang University of Science and Technology), Weiguang Zhao (Heilongjiang University of Science and Technology), Tianyang Yu (Heilongjiang University of Science and Technology), Dongni Zhang (Heilongjiang University of Science and Technology),
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09:45 - 10:00
Design and Analysis of a New Logistic Chaotic Digital Generation Circuit

Chaotic signals are characteristic of noise-like, difficult to predict, very sensitive to initial state, and broad application prospects in the field of chaotic secure communication. Chaotic sequences based on digital circuit not only overcome the disadvantages of difficulty and unstable problem incurred by analog circuit design, but also have the advantages of easy control and stable operation. The modeling and simulation of the new logistic digital simulation circuit in Matlab / Simulink environment can be realized by the DSP-Builder toolbox in this paper. Testing and analyzing the initial value sensitivity, self-correlation, and NIST of the new logistic chaotic circuit by changing parameter settings, and studying the influence and regularity of circuit parameter settings on the randomness of chaotic sequences, thereby reducing and eliminating potential security risks. The conclusions in this paper provide a certain theoretical basis for the generation of digital chaotic circuits, and have excellent application prospects in chaotic secure communication systems.
Authors: 娟 王 (黑龙江科技大学), 文斌 刘 (黑龙江科技大学), 同壮 韩 (黑龙江科技大学), 鑫 周 (黑龙江科技大学),
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Coffee Break 10:00 - 10:10

10 minutes

Electrical engineering #3 10:10 - 11:10

10:10 - 10:25
The Device of Graphite Washed off Acid-base Automatically Based on MCU

Graphite water elution acid and alkali is the indispensible key link of producing high purity graphite, expanded graphite and other graphite deep processing. This design adopts the AT89S52 single chip microcomputer as the control core, supplemented by pH sensors, temperature sensors, power amplification circuit, display circuit, buttons, and control circuit, controlling the water pump, motor, scraper centrifuge, air knife and mechanical device to achieve the automation of graphite automatic washing to take off the acid and alkali, solving the problems such as using artificial detection graphite liquid pH to test whether it can achieve specific standard, causing inaccurate measurement , inefficiency and waste of human resources and other issue. Through the application of the graphite automatic water elution acid-base device, it can significantly improve graphite washing steps in the process of deep processing of efficiency and effectiveness, shortening the process time, reducing the labor costs and electricity consumption, which has higher engineering practical value.
Authors: Huang Yaoqun (Heilongjiang University Of Science And Technology),
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10:25 - 10:40
Nonlinear resistance circuit curve intersection method algorithm research

The volt-ampere relation (VCR) of nonlinear resistance elements is a nonlinear function relation which does not satisfy ohmic law. In this paper, the curve intersection method of nonlinear resistance circuits is studied and analyzed. Firstly, the existence and uniqueness of the solution of nonlinear resistance circuit are discussed, and then the feasibility of the algorithm is verified by computer simulation. Then the actual operation is verified by Multisim software. The experiment is an algorithm used when the volt-ampere characteristics of nonlinear resistance are given by the actual test data.[18] .This is an algorithm for finding the intersection point of arbitrary straight line and polynomial curve function. Compared with the actual measured results, the results obtained by the algorithm are almost resulting in. It can be said that the algorithm is an efficient and simple method to solve the problem.
Authors: 海越 王 (学生), 勋文 苏 (导师),
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10:40 - 10:55
Optimal Configuration of Micro-Energy-Network of Cogeneration Type in Near Land Island

In order to effectively solve the problem that the offshore island energy supply system can not be applied to the near land island, the micro energy network optimization configuration model under the typical scenes of the near land island is constructed, and the specific load data is used to configure the capacity of the main equipment in the scheme. The model satisfies the problems of electricity load, heat load and desalination. The objective function of the model is the minimum operating cost and the maximum customer satisfaction. Considering the constraints of various types of power generation and energy storage, thermal power balance and desalination, particle swarm optimization algorithm is used to solve the problem. Taking a micro energy network of an island as an example, this paper simulates the micro energy network of cogeneration type, and makes a comparative analysis with the common micro energy network of the island. The results show that the optimized configuration model of the micro energy network of the near land island studied in this paper can effectively provide the power load and heat load for the users, improve the satisfaction of the users, and thus improve the economy of the micro energy network.
Authors: Weiguang Zhao (Heilongjiang University of Science & Technology), Zehao Ling (Heilongjiang University of Science & Technology), Jingqiang Zhao (Heilongjiang University of Science & Technology), Ying Yang (Heilongjiang University of Science & Technology), Ze Xie (Heilongjiang University of Science & Technology), Ze Chen (Heilongjiang University of Science & Technology),
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10:55 - 11:10
Anti-Collision Device of DSTWR and SFKF Hybrid Positioning Vehicle

In order to suppress the hidden danger brought by the blind area of construction vehicles, a vehicle collision prevention device is designed. The realization method is introduced in the paper. Combined with DSTWR and SFKF algorithm, UWB detection technology is applied to achieve reliable ranging and positioning. It is found through one-to-many ranging experiment that the maximum static absolute error is 0.093m, the average static error is 0.37m, and the maximum static relative error is 0.0106;the maximum dynamic absolute error is 0.15m, the average dynamic error is 0.073m, and the maximum dynamic relative error is 0.0174. The positioning experiment shows that the maximum errors along the direction of the three axes are 0.17m, 0.29m, and 0.45m, and the average position error of the node is about 0.241m. The experimental results show that the proposed method satisfies the actual functional requirements, and can ensure stable detection with high speed and accuracy. The large error and track discontinuity under the action of motion and vibration factors can be effectively suppressed by the method, which has application value.
Authors: AnHua Wang (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology, Harbin 150022, China), HongKai Ding (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology, Harbin 150022, China), DongDong Wan (Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology, Harbin 150022, China),
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