bluuebunny/crossref_metadata_2025_split huggingface dataset:
New insights into the Pore Pressure Estimation from Sonic Velocity Data—Application of the equivalent depth method in Chinese Basins
Authors: Yang Weiwei , Feng Yuan , Yang Juan , Sun Lin 
Published: May 2021

Abstract
Pore pressure prediction is of fundamental importance in petroleum exploration and production operations. Because there is no direct method to measure pore pressure in shale, the indirect method (the equivalent depth method) for estimating pore pressure from sonic velocity data is widely used. It has been found in the application of the equivalent depth method in several Chinese sedimentary basins that the calculated pressures from sonic logging data are very consistent with the DST or RFT pressures measurements in some basins and are very divergent in others. The consistence of calculated and measured excess pressures in the basin with different excess pressure generation mechanisms such as in the cases in Tarim basin, Bohai Bay basin and Jiuquan basin showed that the pressure calculated by the equivalent depth method accounts for all excess pressure generation mechanisms such as disequilibrium compaction, tectonic compression, aquathermal pressuring, hydrocarbon generation and clay diagenesis. The divergence of calculated and measured excess pressures was found in the organic-rich source rocks in Triassic in Ordos basin and in Cretaceous in Songliao basin. Compared with common shales, organic-rich shales are composed of more solid organic matter, which can influence the sonic velocity values. Our study shows that the sonic velocity decreases dramatically when the TOC is higher than 2%. So the pore pressures calculated by the equivalent depth method from sonic velocity data may much higher than the actual pressures in organic-rich shale. The use of the equivalent depth method may mislead in predicting pore pressure of organic-rich shale without considering the influence of total organic carbon content.
Present situation and prospect of green tide monitoring technology
Authors: Zhou Ruijia , Sha Jingjing , Wen Ruobing , Li Juan , Pan Yulong , Wei Miao , Wang Hui , Wang Taisen , Zhang Jing , Zhao Sheng 
Published: May 2021

Abstract
According to green tide broke out frequently in recent years in Huanghai sea, we analyzed the current technical state and shortage of four kinds of detection methods which were satellite remote sensing, aerial remote sensing, ship monitoring, offshore fixed platform observation, underwater fixed platform and mobile platform observation, in order to promote the construction of green tide observation networks.
Wind Resistance Capacity analysis of Emergency Inflatable High Altitude Lamp
Authors: Liu Yang , Zhao Haitao , Zhang Jun , Chen Jian 
Published: May 2021

Abstract
In working conditions such as night construction sites, the supplement of high-altitude light sources is an important guarantee for the smooth progress of the project. In the actual use of high-altitude lamp, it is necessary to check according to load conditions and wind load forms to prevent the slender high-altitude lamps from being harmed due to instability. By applying wind load and gravity load on the lighting platform, this paper used finite element analysis software to simulate the operating conditions of the inflatable high-altitude lamp; selected the airbag configuration model to analyze the force form of the inflatable high-altitude lamp, gave the reasonable range of inflatable lamps used under various load forms, and predicted the failure modes under various loads.
WSN Topology Control algorithm for High Speed Railway Monitoring
Authors: Peng Kaiqin , Li Shangwen 
Published: May 2021

Abstract
In order to solve the safety problems caused by the continuous improvement of train speed and the continuous growth of railway scale, it is inevitable to apply wireless sensor network (WSN) to train operation environment monitoring. In order to prolong the survival time of wireless monitoring network, the game theory is used to construct a distributed topology model. In order to solve the problem of network lifetime shortening caused by uneven energy consumption of nodes, the Theil index is introduced to improve the energy consumption balance of nodes, and a topology control algorithm for energy consumption balance (EBTCA) is proposed. Experiments show that the algorithm has good results in terms of network lifetime and energy balance.
3D virtual barrier lake platform building method of based on multi-source sensing data
Authors: Sun Liming , Wei Yingqi , Yan Jun 
Published: May 2021

Abstract
The huge flood disaster caused by the barrier lake in a short time usually requires precise emergency decision-making, and the 3D virtual platform of the barrier lake is one of the most important informational support. Traditionally, there are few studies on the reconstruction technology of scale 3D dam lake model based on multi-source perception data. This paper summarizes the types of multi-source perception data used for 3D modeling of barrier lake, and proposes a method for designing and defining 3D data models of barrier lake, a large-scale and a fine local-scale 3D model reconstruction method are studied, building methods are summarized for the main steps of 3D dynamic event simulation, and finally this gives the software architecture design of the barrier lake 3D model platform, Baige barrier lake is taken as an example for practical development and verified the rationality of the method and Feasibility, the software platform provides an important basis for the rescue and disaster relief of the barrier lake in the future.
Research on Robot path Planning algorithm based on Biological heuristic Machine Learning algorithm
Authors: Jiang Hongchao 
Published: May 2021

Abstract
In order to solve the problem that mobile robot is trapped in local convergence and cannot achieve path optimization in ant colony algorithm path planning, an improved variable step size ant colony algorithm is proposed to achieve path optimization with less convergence iterations. According to the relevant characteristics of the application of ant colony algorithm in path planning, the pheromone allocation is optimized, the influence of local pheromone content on the algorithm is reduced, the ant colony is prevented from falling into local optimization when searching the path, and the weight factor is added to the transfer probability formula. improve the probability of the mobile robot moving towards the end point, effectively reduce the number of convergence iterations of the ant colony, and change the mobile robot’s mobile step size. So that it can move freely without collision within 360°, and the path length can be effectively shortened. The simulation results show that in a simple environment, the convergence iteration times and optimal path length of the improved variable step size ant colony algorithm are 2 and 28.042 m, respectively, and the convergence iteration times and optimal path length of the traditional ant colony algorithm are 25 and 29.213 m, respectively. In the complex environment, the convergence iteration times and optimal path length of the improved variable step size ant colony algorithm are 2 and 43.9602m respectively, and the convergence iteration times and optimal path length of the improved potential field ant colony algorithm are 16 and 45.1127m, respectively. Simulation results verify the effectiveness and superiority of the improved variable step size ant colony algorithm.
Freezing - thawing cycles characteristics of soft rock and sand compound soil in Mu Us sandy land
Authors: Zhang Haiou , Yang Chenxi , Wang Jian 
Published: May 2021

Abstract
Freeze-thaw is an important climatic phenomenon in middle and high latitudes and high altitudes. The effect of freeze-thaw on soil structure will be different from that without freeze-thaw. In order to study the structural stability of the compound soil of soft rock and sand in the Mu Us Sandy Land under the influence of seasonal freeze-thaw environment, this study adopted the method of combining indoor freeze-thaw simulation and field investigation to analyze the influence of freeze-thaw cycle on the structural stability of the compound soil. The results showed that after 10 cycles of freezing and thawing, the content of large aggregate structure (>1 mm) in 1:0, 1:1, 1:2, and 1:5 compound soils all decreased, and the decrease rate of 1:1 compound soil was the smallest. The content of small aggregate structure (<1 mm) increased, and the composition of each particle size was mostly concentrated between 0.5 and 0.25 mm. Therefore, the low freeze-thaw cycle can break large soft rock rocks, promote the full mixing of soft rock and sand, and improve the structure of the surface compound soil, instead of being dominant.
Analysis on the influence of water pressure on the safety of karst tunnel lining structure
Authors: Fei Wan , Xuan Zhang , Zhanqiang Wang 
Published: May 2021

Abstract
Tunnel lining structure in water-rich karst area bears random high water pressure, which seriously threatens the safety of lining structure. In order to determine the influence of water pressure on the safety of lining structure of karst tunnel, a numerical model of load-structure was established, and the safety factors of lining structure under different circumferential and longitudinal action ranges of water pressure were compared and analyzed. The calculation results show that the safety factor of arch and side wall of lining structure is the lowest when the circumferential action ranges of water pressure are 0.3S and S (S refers to the distance from vault to the maximum span). The safety reduction factor of lining structure is 0.4-1.0 when the longitudinal action range of water pressure is 4m-36m. The research results can provide a basis for designing lining structure of tunnels in water-rich karst stratum.
Discussion on the Strategy of Improving the Reliability of 10Kv Distribution Network
Authors: Li Shunxin , Dong Shaoqiao , Zhao Min , Yang Min , Zhao Guoliang 
Published: May 2021

Abstract
With the rapid development of economy and society and the continuous improvement of people’s living standard, the reliability of power system is more strictly required. 10KV distribution network is the main mode of power transmission, it brings great convenience to our life and work, but 10KVkV the transmission voltage of distribution network is relatively large, the requirement of transmission wire is strict in the process of power transmission. Therefore, improving the reliability of 10kV distribution network power supply is the first problem to be solved by related personnel.
Study on The Relationship Between Meteorological Factors and Photovoltaic Power Generation Efficiency and Influence Mechanism
Authors: Xia Quan 
Published: May 2021

Abstract
The paper uses the minute-by-minute photovoltaic power data of a photovoltaic power station in Lanzhou of Huadian from June 1, 2018 to May 31, 2019 and the meteorological observation data of the Lanzhou National Climate Observatory in the same period to analyze the impact of meteorological elements on the power of photovoltaic power plants. The results show that the daily and hourly output power of photovoltaic power plants are highly positively correlated with sunshine time and light intensity. The longer the sunshine time and the greater the light intensity, the more the output power of the module; the cloud cover and relative humidity weaken the photovoltaic power, and The influence of low cloud cover is greater than the influence of total cloud cover, and cloud shape also has a significant influence; the influence of temperature on the power of photovoltaic power plants is more complicated, and the increase of temperature reduces the power of photovoltaic power, and the mechanism needs to be further studied.
Research on Early Warning System of Consulting Risk for Power Engineering Project
Authors: Ou Jingfeng , Yuan Jianwen , Tian Jing , Zhang Wei , Cao Wenyan , Bai Ke 
Published: May 2021

Abstract
In the new era, with the rapid development of China’s economy, the overall capacity of engineering consulting for construction projects in my country’s power industry exceeds demand, and there is a strong demand for cleanliness and intelligence. Power construction companies are facing huge challenges. Grid companies have deployed project management information systems in accordance with relevant national regulations. Therefore, power construction companies or power engineering consulting companies project management engineering consulting In order to effectively avoid accidents in the power system, the power grid signal monitoring risk combined with regulation and control is regulated and controlled. Early warning system.
Research on Anti-Icing Technology of High Voltage Line Insulator Based on Advanced Sensor
Authors: Xu Minhu , Guo Yun , Zhang Dewen , Tan Long , Zhang Kexin , Chen Shiyu 
Published: May 2021

Abstract
The insulator has an ice flashover failure. To reduce the calculation error of the equivalent icing thickness of transmission lines due to the insufficient number of sensors, a new online monitoring device for wire icing based on 3 sets of force sensors and inclination sensors was designed. The device integrates multiple monitoring functions such as micro-meteorology, wire temperature, distributed multi-rod tension, and images. The study found that the main reason for the ice flash of insulators is that the ice bridging the insulation on the string skirt. The high conductivity of melting ice water causes the ice flash voltage to be too low. A water curtain that blocks the melted ice water with high conductivity from forming a flashover channel. It is a basic measure to improve the ice-coated insulation and the flashover voltage of the ice string.
Study on High-efficiency Thermal Conductive Anticorrosion Coating Technology for Temperature and H2S Corrosion Resistance
Authors: Liu Qingshan , Xiao Wenwen , Zhang Qian , Wang Lei , Guo Xiaojun , Duan Shaoming , Ge Pengli , Xu Yanyan 
Published: May 2021

Abstract
In order to deal with the anticorrosion problem of heat exchangers containing H2S, CO2 and other acidic media, the heat-conducting anticorrosion coating which can be used in acidic media at 200°C was prepared by adopting the combination system of the high-temperature curing epoxy phenolic resin film forming system and acid-resistant filler and filled heat-conducting filler. The results show that the coating has excellent acid and alkaline resistance, salt spray resistance, heat resistance and good thermal conductivity. It meets the technical requirements of heat exchanger corrosion protection under the acidic corrosion environment of H2S and CO2.
IoT Data Privacy Protection Scheme based on Blockchain
Authors: Wu Yue , Song Liangtu , Liu Lei , Wang Qijin 
Published: May 2021

Abstract
This article introduces the blockchain technology and proposes a blockchain-based IoT sensor data privacy protection scheme from the anonymisation of user identity, the protection of private data and the procedure that allows third parties to use encrypted sensor data. The sensor and the gateway establish a connection after authentication and key negotiation, and the sensor periodically uploads the sampled data and hash-based message authentication code (HMAC) to the gateway. After the gateway verifies the HMAC code of the sensor data, it encrypts the sensor data, constructs a blockchain transaction and submits it to the blockchain node. Blockchain nodes cache transactions and periodically generate blocks to confirm that the transactions are on the chain. After the gateway constructs an authorised transaction and submits it to the blockchain node for confirmation, the designated decentralised application (DApp) obtains the permission and related keys to access the designated sensor managed by the gateway. Finally, the DApp queries the local blockchain node for the specified sensor data and decrypts the results. Experiments have proven through in-depth discussions on sensor synthesis data, sensor/gateway verification, transaction data encryption and transaction signatures that the scheme can be used in IoT systems.
Blind guidance system based on image recognition and convolutional neural network
Authors: Wang Hao , Jiao Kaijie 
Published: May 2021

Abstract
This paper applies straight-line driving technology and pothole detection technology in the field of unmanned driving and edge detection in image recognition to the blind guide system. Researched and produced an intelligent, popular, safe and reliable intelligent blind guide system. This blind guide system uses Python and OpenCV as the development environment under the Linux operating system to realize image recognition and integrate functions on the Jetson nano development board. Through the simulation and analysis of scenes such as the life and travel of the blind, the designed blind guidance system mainly realizes the following functions: image recognition, traffic light recognition, zebra crossing detection, road pothole detection, voice interaction, and assisting straight-line walking.
Research on Intelligent Operation and Maintenance Technology of Primary Equipment in Substation
Authors: Zhang Kexin , Tan Long , Chen Shiyu , Xu Minhu , Zhang Dewen 
Published: May 2021

Abstract
In smart substations, how to use multi-interval system information to realize online monitoring of substations, so as to obtain abnormal operation status early through state analysis, is a topic that needs to be solved in smart substations. The paper uses the multi-interval information correlation method to realize the online monitoring of the status of the primary equipment of the substation. By analysing the correlation factors of the electrical sampling of the multi-interval primary equipment, and the online monitoring of the multi-interval start-up information, combined with the traditional substation interval setting, the abnormal inspection of the primary equipment of the substation can be realized. The function of condition monitoring.
Empirical Study on Calculation of Electricity Economic Prosperity Index - A Case Study of H Province
Authors: Di Haolin , Han Hongmei 
Published: May 2021

Abstract
According to the theory of economic cycle growth, the method of economic prosperity chronology is used to select the appropriate period of economic prosperity research. Time difference correlation analysis, K-L information quantity and peak valley correspondence method are used to compare the trend value of power consumption in various industries with the trend value of economic data. The indicators that can reflect economic fluctuations are selected and divided into the leading, consistent and lagging indicator groups. The composite index method is used to synthesize the electricity economic prosperity index, including leading index, consistent index and lagging index. Finally, taking H province as an example, an empirical study is carried out to demonstrate the practicability of the model.
Determination of sample size of control chart based on APQ
Authors: Zhao Huizhen , Meng Lili , Wang Caihua , Sun Xiaowei 
Published: May 2021

Abstract
The SPC control chart is an important quality tool to determine whether there are abnormalities in the production process. When making control charts, the sample size is generally selected based on experience, which has certain limitations. To determine the sample size more accurately, the average run length (ARL) is used to measure the quality characteristics of the control chart, and the relationship between the average run length and the two types of errors is analysed to establish an APQ-based sample size related mathematical model. The model is analysed using Minitab software and Excel to finally determine the appropriate sample size scale for different cases.
Warehouse management and informatization in industrial application under the context of “Internet +”
Authors: Huang Shuning 
Published: May 2021

Abstract
Manufacturing is the cornerstone of comprehensive national power, and ware housing is an important link of manufacturing production activities and a key node of t he logistics process. Under the guidance of the Made in China 2025 strategy, the const ruction of an efficient and rational information warehouse has become an important wa y to transform and upgrade the manufacturing industry. To achieve this goal, a scientif ic and rational management model is required, and accounting is an integral part of it. With the depth of the “Internet+” era, it is of great practical significance to promote the level of accounting informatization. This paper focuses on small and micro manufactu ring enterprises, with the goal of enhancing their accounting informatization level, and optimizes the business process design of warehousing, hoping to provide some referen ce for manufacturing enterprises to build intelligent warehousing systems.
Rolling Bearing Fault Classification Based on Stacked Denoising Auto Encoders
Authors: Jia Liangliang , Du Xianjun 
Published: May 2021

Abstract
Aiming at the characteristics of large capacity and diversity of rolling bearing fault data, an intelligent rolling bearing fault diagnosis method based on stacked denoising auto encoders was proposed. Firstly, Principal Component Analysis was used to reduce the dimension of the original data, and the redundant information is deleted. Then, three de-noising auto-encoders are created to train the bearing data. Then, a stack de-noising auto-encoder with three hidden layers is stacked with the trained DAE for reverse optimization. Finally, the features are input into soft-max classifier to realize rolling bearing fault diagnosis. The experimental results show that SDAE network can extract fault features effectively, and it is better than back propagation neural network in generalization and fault classification accuracy.
Fourier series for synthesis and analysis of periodic signals
Authors: Hao Yunman 
Published: May 2021

Abstract
This report mainly explores three major parts, namely, periodic discrete-time signals, generation of periodic Fourier signals and analysis of quasi-periodic Fourier signals. We use Matlab to analyze the signal and generate Excel spreadsheet. The waveforms of different frequencies are drawn by Matlab, and the waveforms are analyzed. In addition, the formula for synthesizing periodic signals is simplified and demonstrated here.
Multi-Objective Optimal Allocation Of DG-EV Charging Station Considering Space-Time Characteristics Model
Authors: Chen Xianda , Gao Chao , Chen Xingyu , Lin Yufeng , Li Jiyu , Yang Yihao 
Published: May 2021

Abstract
With the promotion and development of new energy in the country, Distributed Generation (DG) and electric vehicle (EV) are welcoming development opportunities. The paper proposes a DG-EV charging station that considers space-time characteristics. Multi-objective coordination optimization configuration method, by extracting the road network topology in the city, monitoring the road network traffic, using the traffic planning software TransCAD to carry out the OD matrix back-pull, establishing the travel probability matrix to describe the user travel characteristics, considering the timing characteristics of EV, DG and conventional load, taking into account the grid side and the user side, and establishing a multi-objective joint planning model for the DG-EV charging station with the sub-goal of comprehensive benefit, system load fluctuation and charging time-consuming cost. Finally, the simulation analysis of the IEEE-33 node distribution network and the main road in a certain urban area is carried out to verify the validity and feasibility of the model.