bluuebunny/crossref_metadata_2025_split huggingface dataset:
Architecture and Key Technologies of Mine Internet of Vehicles
Authors: Junhao Yan , Zongpu Jia 
Published: July 2021

Abstract
As the important equipment of mine production, the level of mine vehicles management has a direct impact on all aspects of production, safety and management of mine. The application of IoV(internet of vehicles) to improve the intelligent level of mine vehicle management is an important part of intelligent mine construction. In order to avoid the problems of scattered development, repeated construction and difficult system integration caused by unclear concept, different objectives, different paths, different system architecture and different technical application emphases in the application of IoV in the mine vehicle management, taking the intelligent coal mine as an example, the concept of MIoV (mine internet of vehicles) is proposed, and its system architecture, key technologies and typical applications are analyzed and discussed. Firstly, on the basis of reviewing the development of intelligent mine and IoV, the concept of MIoV is defined and expounded; secondly, referring to the architecture of IoV and MIoT (mine internet of things), the architecture of MIoV is designed, which is composed of sense and control layer, network layer, service support layer and application layer; the key technologies of MIoV and intelligent mine information system are integrated and analyzed key technologies such as positioning and monitoring, intelligent perception and control, wireless communication, collaborative computing. Finally, from the four aspects of human-vehicle-environment-management, mine vehicle and driver monitoring, mine vehicle automatic driving and driverless, mine safety monitoring based on mine vehicles, mine vehicle intelligent scheduling and other typical application of MIoV are discussed. The research results laid a foundation for the construction of MIoV to promote the in-depth and orderly application of IoV in intelligent mine vehicle management, enrich the technical connotation of MIoT, and accumulate experience for the application of other technology branches of MIoT in intelligent mine construction.
Signal timing optimization design of cross intersection-- A Case study of The intersection of Minzhu South Road and Fengshou Road in Jiaozuo City
Authors: Yang Jiangfan , Zhang Guolong , Li Meiheng 
Published: July 2021

Abstract
The capacity of intersection affects the maximum capacity of road to a certain extent. The traffic capacity of the intersection can be improved to some extent by optimizing and adjusting the parameters of the signal timing model. Taking the cross-type intersection at the intersection of Minzhu South Road and Fengshou Road in Jiaozuo City as the research background, this study optimizes the signal timing design for the current intersection, optimizes the signal timing design by using Webster algorithm, and conducts simulation by using traffic simulation software VISSIM. The results showed that the average delay at the intersection was reduced by nearly seven seconds.
Research and Design of Switch Control Module of Railway Signaling Based on Power Electronics Technology
Authors: Rui Zhang , Yi Peng , YuFeng Tao 
Published: July 2021

Abstract
According to the characteristics of railway operation, and studying the main structure of the interlocking system, a set of railway switch control module suitable is designed by using power electronic technology and modular design. This paper studied on the new-type pure electronic control of switch control circuit. The reliability and safety of the railway switch control module are analyzed by scientific means. Through field tests, it fully proves that the module has the advantage characteristics of small volume, fully functional, and stable performance etc. In a word, it has strong engineering practical value and conforms to the development trend of railway technology.
Research on E-commerce Logistics Information System Based on Big Data Technology
Authors: Sun Jie , Fan Yanling 
Published: July 2021

Abstract
With the in-depth research and rapid development and application of “Internet +” big data technology, it has a positive and far-reaching impact on e-commerce logistics, but how to use the advantages of big data technology to serve e-commerce logistics innovation and satisfy the society and customers for its application demand is the focus of current e-commerce logistics service companies. With the support of the Internet of Things technology, it can realize the unified command of the emergency logistics management system, coordinate the deployment of emergency materials, vehicles, and personnel, ensure the efficient development of emergency rescue work, and minimize the impact of sudden disasters on the society and the people.
Design of Intelligent Low Voltage Station System Based on Edge Calculation
Authors: Shuai Guo , Qiong Song Wei , Ji Li , Wen Bu Zhi , Rui Li , Qiang Wang , Fei Mao Hao 
Published: July 2021

Abstract
The low-voltage distribution network field wiring is very complicated and there are many changes in the relationship between households and changes, which brings great difficulties to the topology identification and line loss management of the transformer area. This paper proposed an intelligence low-voltage power system based on edge computing in order to improve the automation level of low-voltage distribution area, and to solve problems such as identification inaccuracy of topological relations in the low-voltage distribution area at present and singleness of condition monitoring parameters in station area, etc. The terminal is implanted with two edge calculation models based on artificial intelligence technology, which can realize topology identification and state parameters monitoring. The multistate parameter monitoring and decision analysis provides functions of event monitoring and early warning of abnormal state for the low voltage distribution system. In the topology identification analysis, the Markov random field was applied to establish the mathematical model of non-oriented graph and the joint probability distribution to describe the correlation between the nodes in the distribution network, thus realizing topology-relation identification of nodes in respective layers of the distribution area. On this basis, taking a low-voltage station as an example, a case analysis was undertaken. It was verified via the effectiveness and accuracy of the intelligence low-voltage station, which lays a foundation for research of the intelligent and fine management of the low voltage station system.
Design and Construction of a Low Cost All-Digital Phase Locked Loop Based on Field Programmable Gate Array
Authors: Zhang Chunyu , Wang Shouxiang , He Ruxun , Zhao Qianyu , Wang Kai 
Published: July 2021

Abstract
The phase-locked loop (PLL) is a key element to capture the voltage phase of the grid in power systems with high permeability of new energy sources. An accurate phase information catcher which can be applied in the field can provide a strong support for the control process of the system. This paper constructs a low-cost all-digital PLL (ADPLL) on an embedded field-programmable gate array (FPGA) for real-time (RT) digital simulation. Compared with offline simulation, RT digital simulation can realize hardware-in-loop (HIL) testing of utility connected devices to validate their performance in every working condition, which would not be possible using only experimental tests. Meanwhile, an improved simulation architecture construction method based on Algorithm Architecture Adequation (A-A-A) is presented in this paper. This method further saves the internal hardware resources on the basis of making full use of the parallel computing capability of FPGA. Analysis and experimental results made based on an FPGA ALTERA Stratix V show that the proposed modeling algorithm can achieve both efficiency and accuracy.
Research on Harmful Gas Detection and Alarm System Based on ZigBee Technology
Authors: Li Hong , Chen Furong 
Published: July 2021

Abstract
Based on ZigBee technology, several gas sensors are combined into a monitoring system, which is used in the environment or places with pollution and harmful gas. With the support of ZigBee technology, the gas sensor alarm instrument is used. When the gas data detected by the sensor is greater than the preset value, ZigBee sends a signal to automatically control the opening or closing of related equipment in the internal network, and people receive the alarm signal. So as to solve or reduce the occurrence of human casualties caused by harmful gases. It can also be used to view the real-time data of gas or remote control environment. It can also be connected to the Internet through ZigBee technology to report to the system to solve security problems while alarming.
Calculation Method of Spatial Equilibrium Coefficient for Land Expansion of High Density Building Complex
Authors: Li Zheng , Du Ruixue , Chen Sun 
Published: July 2021

Abstract
The existing calculation methods have the problem of fuzzy characteristics of equilibrium coefficient, which leads to too many iterations in the calculation process. Combined with the normal force climbing effect, the shear stress of the rise and fall angle of the high density building group is obtained. Extract the mathematical characteristics of the equilibrium coefficient based on the space sharing theory, quantify the index data, calculate the equilibrium coefficient of the high density building group, and realize the calculation method design. Experimental results: under the same experimental conditions, the approximate number of iterations of this design method and the existing two calculation methods is 10 ~ 25 times less than the other two calculation methods, which proves that the performance of this design method is better.
Evaluation of High-speed Railway Train Line Plan Based on EMU Routes
Authors: Ruihao Han , Lei Nie , Tianqi Li , Jiaci Wang 
Published: July 2021

Abstract
EMU route is a fixed turnover section for EMU to take on transportation tasks. As an important transportation resource in high-speed railway transportation, EMU’s operation level directly affects the railway transportation cost. Therefore, evaluating the train line plan (TLP) based on EMU routes would be of great significance in further optimization and improvement of the high-speed railway TLP. This paper optimized the evaluation process of TLP by adding EMU routes evaluation stage. After analyzing differences and relations of indicator systems in different evaluation stages, construct evaluation indicator system related to EMU Routes. Therefore, the evaluation system of TLP based on EMU routes is implemented using C#. Eventually the effectiveness about indicators and evaluation system are validated by a case.
Research on Open Vehicle Routing Problem based on Multi-Objective and Multi-Constrain Genetic Algorithm
Authors: Shi-yue Wang 
Published: July 2021

Abstract
With the advancement of urbanization, the efficiency of take-out delivery has become one of the focuses of urban residents. In order to comprehensively meet the needs of both the delivery system managers and the delivery customers, this paper designs a multiobjective and constraint linear programming model that takes into account the minimum total cost of delivery and is based on the timeliness of delivery to maximize customer satisfaction. At the same time, considering the high concurrency of customers’ demands for delivery, this paper designs a set of multi-objective multi-constraint genetic algorithm based on the control evolution direction, which is carried out in feasible domain first, and then to the optimal solution, and elaborates the constraint control evolution operator and sorting operator. Finally, an example is given to verify the feasibility and effectiveness of the algorithm, and a new efficient solution method is proposed for the delivery route planning problem.
Development Strategies of Drop and Pull Transportation Based on SWOT Analysis
Authors: Wu Pengsheng , Zheng Han 
Published: July 2021

Abstract
With the rapid development of economy, the demand of road transportation is increasing day by day. On the other hand, with the continuous progress of road conditions and vehicle technology, drop and pull transportation, an advanced form of freight transportation organization, is getting more and more attention from government departments and transportation enterprises. Based on the SWOT analysis, the development status and problems of China’s drop and pull transportation were researched deeply. Combined with the advantages of China’s Information and Communication Technology and big data technology, some reasonable suggestions were put forward for the development of drop and pull transportation from the aspects of vehicle technology, freight source organization and informatization. It is hoped that drop and pull transportation will become more intensive, efficient and environmentally friendly.
Selection of cargo transit nodes based on node split
Authors: Chen Xiuquan , Wang Zhimei 
Published: July 2021

Abstract
This paper studies the express train transportation organization to ensure that the cargo can be delivered in the shortest time. Based on this, this paper makes the following research: By comparing the characteristics of express cargo and the characteristics of its transportation, the time value of express cargo is studied. This paper analyzes the transportation organization of the express train, introduces the organization of the express train, and divides it into direct trains and transit trains to analyze the transportation organization process. Then, the model of the express train transfer node selection model is established. The model is based on the minimum cost of the train and the sum of the unit mileage cost and the time cost. The conditions for the delivery of various cargo, transportation capacity and traffic flow are constrained. The model and the solution ideas are proposed. The above model is verified by constructing a virtual network and formulating reasonable data. Finally, the stop nodes of each express train are obtained, and the correctness of the model is verified.
The Design of Intelligent Passenger Organization System (IPOS) for Metro Stations Based on Anylogic
Authors: Zeng Cheng , Wu Jiayuan , Wang Ruiwei 
Published: July 2021

Abstract
Passenger organization has always been an essential part of China’s metro operation and management. Facing the massive passenger flow, stations need to improve their intelligence and automation degree by an appropriate integrated system. Based on the existing Integrated Supervisory Control System (ISCS) and simulation software (Anylogic), this paper designs an Intelligent Passenger Organization System (IPOS) for metro stations. Its primary function includes passenger information acquisition, data processing and computing, visualization management, decision recommendations, and decision response based on interlocking equipment. For this purpose, the logical structure and intelligent algorithms employed are particularly devised. Besides, the structure diagram of information acquisition and application module, the application of Anylogic, the case library’s function process are all given by this research. Based on the secondary development of Anylogic and existing technologies like video recognition, the IPOS is supposed to improve the response speed and address capacity in the face of emergent passenger flow of metro stations.
Influencing factor analysis of car-sharing demand based on point of interest data
Authors: Dong Huimin , Yang Xiaobao , Wang Wencheng 
Published: July 2021

Abstract
The rise of car-sharing can make full use of road space resources, alleviate traffic congestion and reduce traffic energy consumption. However, due to the failure to accurately predict the demand distribution of car-sharing, there are a lot of empty driving phenomena in vehicle scheduling, which leads to the economic losses of car-sharing operators. Existing studies show that the point of interest has a significant impact on urban residents’ travel, but few of them study the quantitative relationship between interest points and shared car orders. Based on this, using the order data of car-sharing in Beijing, this paper establishes a negative binomial model of travel demand and density of different kind of points of interest, and analyzes their relationship. The analysis found that users tend to use car-sharing to go to leisure places. In areas where public transportation is underdeveloped, people will use car-sharing more. The methodology of this paper can provide a theoretical basis for sharing automobile enterprises to develop new operation areas and select reasonable car sharing stations.
Urban Traffic Planning and Traffic Flow Prediction based on ulchis gravity model and Dijkstra algorithm
Authors: Wu Zhizhu , Huang Mingxia , Zhao Aiping , lan Zhixun 
Published: July 2021

Abstract
Traffic flow forecast is the basic content of urban traffic planning, its planning will play an important role in the development of small towns. Therefore, this paper takes Nanliang town as an example, analyzes the topography of Nanliang Town, and then makes planning on the functional zoning and spatial structure, the layout of various types of land and road network, On this basis, the “four stage” demand forecasting method is used to study the development of Nanliang town’s traffic demand. The original unit method and ulchis gravity model are used to predict the trip generation, the trip attraction and the distribution of traffic volume. The Dijkstra algorithm is used to calculate the shortest path. After that, the all-or-nothing assignment method and the improved multi-path Logit method were respectively adopted to allocate the space OD amount of various travel modes to the specific road network, and the traffic flow distribution results under the two allocation methods are obtained respectively. According to the distribution result chart, it can show that the improved multi-path Logit method is closer to the reality, it can provide theoretical support for the study of urban traffic demand.
Experimental research on cyclic impact load of concrete during curing period
Authors: Chen Chen , Xiaoyi Liu , Jianxin Yu , Pan Liu , Min Guo 
Published: July 2021

Abstract
In order to study the influence of cyclic impact load on the compressive strength of concrete during the curing period, we used a self-made drop-weight impact test device to conduct a daily impact test on C40 concrete specimens with a curing period of 28 days. At the same time, the longitudinal wave velocity test of the test block before and after the impact was carried out, and the 28-day uniaxial compressive strength of the concrete test block was finally measured. The results show that the cyclic impact load during the curing period will cause internal damage to the concrete, and the uniaxial compressive strength is significantly reduced; the acoustic wave test results show that the damage of the concrete under the impact energy of 11.76kJ, 5.88kJ, 7.84kJ, and 8.82kJ is 0.035, 0.022, 0.031, 0.031. The uniaxial compressive strength values after 28 days decreased by 11.93, 4.68, 7.6, 10.23 MPa. There is a positive correlation between impact load, damage and reduction in compressive strength.
Damage Identification Based on the Loaded Frequency Changes and Deep Learning for Bridge
Authors: Ren Yangyang , Ye Yi 
Published: July 2021

Abstract
Frequency is widely used in damage identification as the dynamic characteristic parameter with the simplest measurement method and the highest measurement accuracy, but the frequency changes are nonunique parameters of damage location for the symmetrical structure. To improve the method of damage location identification based on frequency changes for bridge, the bridge damage identification network based on loaded frequency changes and deep learning theory is proposed by introducing the moving vehicle detection method. A continuous beam example is used for testing, and the test results show that the identification network based on the bridge load frequency changes and the Stacked Denoising Auto-Encoder(SDAE) network can effectively locate the damage of bridge, which enables the frequency changes data to overcome the nonunique limitation of the symmetrical structure, enhances the expression ability of the parameters and improves the effectiveness and the anti-noise property of bridge damage location identification.
Urban smart transportation based on big data
Authors: Liu Mai 
Published: July 2021

Abstract
Traffic congestion has become more and more serious in the last decade. Because of the backward transportation system, it is impossible to analyze the large amount of feedback data. At the present stage, the development trend of big data is gradually emerging, and traffic problems are taken as the starting point. Therefore, it is of great significance to study the methods of big data to improve traffic congestion. In this paper, the development status of intelligent transportation based on big data is mainly described. In combination with Hadoop technology, positioning data acquired by on-board terminals is taken as an example for analysis, and the driving radius and driving distance map are experimented. It is of great significance to study the application of big data platform based on Hadoop technology in the transportation industry. A large number of data resources and low-cost big data technology can be effectively utilized to promote the development of transportation, thus promoting social development and progress.
A study of Guangzhou road network and public transport based on betweenness evaluation
Authors: Zhang Haiye 
Published: July 2021

Abstract
This paper introduces the intermediate concept in the topology structure, analyzes the road network in Guangzhou, and proves that the intermediate index of the road section has a positive relationship with the number of bus lines. By comparing the situation under different search distances, it is found that the fit advantage increases rapidly with the increase of search distance in the stage of search distance, which reflects that the intermediate index of the segment needs to show advantage in a certain scale range to make sense. When the search distance reaches more than 5km, the growth trend of fit excellence slows down and reaches a maximum in the 8km to 12km range, before starting to fall back. This reflects the fact that for conventional public transport, it is not necessary for the road section to show an intermediate advantage on too large a scale.
Research on Safety Factors of Transportation Vehicles in Yuntai Mountain Scenic Area Based on Hypothesis Test
Authors: Shuiwang Jing , Kefeng Wang 
Published: July 2021

Abstract
The human factor has always been the main factor causing transportation safety. In order to prevent and reduce the occurrence of traffic accidents due to objective reasons, this paper adopts the one-way analysis of variance and two-factor analysis of variance in the hypothesis test, from the Yuntaishan intelligent 4G equipment It extracts the two dimensions of fatigue driving and distraction to alarm, and conducts data analysis and research on the relationship between time period, week, and vehicle speed and driving safety. Studies have shown that the P values of fatigue driving and distraction in different weeks, different speeds, and different time periods are far less than 0.05, and there is a significant difference.