bluuebunny/crossref_metadata_2025 huggingface dataset:
Matching relationship between land salinity and utilization based on the synergy of OLI and ground measurements
Authors: Xu Zexin , Gao Mingxiu , Wang Jiafan , Xie Xiaoxin , Li Ruiyan
Published: June 2021

Timely and accurate grasp of land salinization status and its matching relationship with land use is the basis for scientific improvement of saline land and rational land use. The current land use types of Shouguang City on the south coast of the Bohai Sea were obtained based on Landsat 8 OLI multispectral images using supervised classification. And the spatial distribution map of land salinization was obtained by IDW interpolation. By superimposed analysis of the current land use types and the spatial distribution of salinization, the information of salinization degree was obtained. The matching relationship between salinization and land use was analyzed from both quantitative and spatial aspects. The results show that OLI multispectral image and filed survey can improve the extraction accuracy of land types and salinization degree information. The distribution of salinized land in Shouguang City has prominent regional characteristics, with non-saline, mild, moderate, severe, and saline soil distributed in a pattern of “large concentration and small insertion” from south to north. The spatial consistency of land use and salinization in Shouguang is remarkable, forming spatial characteristics of “vegetable in the south, grain and cotton in the middle, and fishery and salt in the north”. However, no matter from space or quantity, the land use and salinization in Shouguang City have the problem of “overall match, local mismatch”. It is suggested to take differentiated measures to regulate land use according to the current situation of distribution characteristics of land salinization and utilization.
The measurement method of spatiotemporal accessibility of electric vehicle charging stations in the dynamic time-dependent urban environment
Authors: Zhou Xinxin , Han Peipei , Huang Jing , Yu Zhaoyuan
Published: June 2021

The accessibility of electric vehicle charging stations (EVCS) is one of the critical factors affecting energy vehicles’ development. It is also the root cause restricting the replacement of fuel vehicles by new energy vehicles. All kinds of dynamic factors in the city, such as population and traffic, will directly affect the spatiotemporal accessibility of charging service facilities. Therefore, exploring the measurement method of EVCS spatiotemporal accessibility in dynamic time-dependent environments can reduce idleness, alleviate queuing pressure, and promote new energy vehicles. Taking Nanjing as an example, this paper conducts research based on multiply time slots, mobile phone records, and online route planners. It uses population data dynamic effect measurement methods, traffic congestion coefficients, and 3SFCA based spatiotemporal accessibility models to evaluate the time slot changes of EVCS accessibility. The results show that with the changes of the urban population, occupation, residence, work, and leisure, the accessibility of EVCS presents prominent “polarization” characteristics and dynamic effects. It is recommended to formulate new and adjust the deployment plan of EVCS according to the dynamic changes of the urban population, traffic environment, and accessibility in multiply time slots to reduce idleness and queuing and improve the utilization rate of EVCS.
Simple analysis the Characteristics of Petrography and Principal element zone of Hadamengou Gold Deposit, Inner Mongolia
Authors: Xin Wang , Liang Ming
Published: June 2021

The petrographic study of the piedmont potassic belt indicates that the rocks in the piedmont potassic belt of Hadamengou gold deposit are mainly composed of potassic feldspar, plagioclase and quartz, which are distributed in a scattered form, and the rock fragmentation structure is widely developed. The study of element geochemistry and other aspects shows that the rocks in the piedown potassified zone are mainly composed of potassium feldspar, plagioclase and quartz, followed by a small amount of sericite, epidote and kaolin. The main elements mainly contain high K2O and low Na2O, and the K2O/Na2O ratio is higher than 2, all of which belong to the hyperpotassium series rocks.
Efficient individual tree identification from multiple source point cloud
Authors: Xiao Rui , Xu Bo , Jia Wei , Ge Xuming , Shuai Tao , Chen Hongtie
Published: June 2021

Detection and identification of individual trees are becoming increasingly important for forest related applications. Current, researches mostly concentrate on the segmentation of canopy height models (CHMs), which only produce rough tree delineation and numbers. Considering that different trees have changeable economic value and growing speed, this approach proposed a robust workflow that detects not only the location and shape of single trees but also the basic tree type. First, the multiple source point clouds are combined and classified to build the CHMs, based on the geometric information. Then, the tree tops are extracted based on the mathematical morphology operations. The tree delineation are then grown based on the tree tops and the competition among adjacent tress is considered. Finally, a multi-view projection based classification network was developed to identify the tree type, which meanwhile indicate the connecting trees that are hardly separated in CHMs. Experiments results on various data source demonstrate that the proposed approach can produce significant improvements on the detection results than existing researches.
Application of Terrestrial Laser Scanner in engineering survey
Authors: Hu Chang’an , Peng Dekun , Lv Fei , Sun Haifeng , Zhao Tao , Li Wanze
Published: June 2021

For evaluating the objective measured by the traditional measurement technology that is continuous and periodic single point observation method, it is one-sided and uncertainty. The 3D laser scanning technology called the real scene reproduction technology can provide the support for the 3D design of all kinds of tested objectives in the favorable data. It not only simplifies the construction project cost and improves the work efficiency, but also the results of its data evaluation are more reliable and comprehensive. In the past ten years, the terrestrial laser scanner as a physical representative of the three-dimensional laser scanning technology has been applied in some industries such as electric power, archaeology, factories, cities, Bridges, hotels, ships, criminal investigation to represent its immeasurable value. In this paper, these cases applied in the hotel, sculpture, landscape wall, karst cave are more representative to show a variety of terrestrial laser scanner applications.
Assessing the spatial pattern of wilderness in central Yunnan: a case study from Chuxiong county, Yunnan
Authors: Deng Zhongjian , Li Xiaona , Yang Han , Gan Shu
Published: June 2021

Wilderness plays a key role in mankind’s response to combat climate change and slow down the rapid loss of biodiversity. Wilderness protection is the basis and key to preserving biodiversity, and wilderness identification is the basis for wilderness protection. This paper identified the wilderness areas (WAs) and analyzed the spatial pattern of wilderness level using the data of terrain, vegetation types, land use types, roads, and night lights, and classified the wilderness level into levels 1 to 10, with level 1 indicating the highest level of wilderness and level 10 indicating the lowest. Only patches characterized by wilderness level 1 and a patch area of ≧1.0km2 are identified as wilderness areas in this study. The results showed that (1) the low wilderness (level 8-10), middle wilderness (level 4-7), and high wilderness levels (level 1-3) in the region were in mosaic distribution, which accounted for 52.98%, 14.81%, and 32.21% of the region land area, respectively. Low wilderness areas were mainly distributed in the eastern part of the region, the middle wilderness areas were in the west part of the region, and the high wilderness areas were mainly distributed in the southwest and southeast of the region. (2) The wildness areas accounted for 12.74% of the total land area of the region with presenting scattered distribution. Moreover, wildness area which exceeded 10% of the total wilderness area had 5 towns such as Lucheng, Ziwu, and Xincun, Xishelu, and Dadi, and the range of wilderness covered 7 vegetation types, of which 97.46% of the wilderness areas was in pure forests, with 55.2% of the wilderness distributed in the range of 1800-2200 m. (3) The wilderness areas in the region were almost unprotected. The number and area of wilderness patches that were covered by nature reserves only accounted for 13.24% and 13.19% of patch numbers and areas of the total wilderness. Consequently, this might make it difficult to achieve animal and plant migration and gene exchange between different wildness patches, and it was also difficult to implement effective protection measures.
Hyperspectral Image Classification Method Based on Multi-scale Densenet and Bi-RNN Joint Network
Authors: Liang Lianhui , Li Jun , Zhang Shaoquan
Published: June 2021

With the depth of the Convolutional neural network(CNN) increases, CNN may lead to the problem of gradient disappearance. Simultaneously, single scale convolutional kernel may not reflect the complex spatial structural information in hyperspectral image(HSI). In addition, the CNN based approach regards the spectral band data on a single pixel of the HSI as a disordered high dimensional vector for processing, which does not meet the characteristics of the spectral band data. To tackle these aforementioned issues, a novel classification approach based on multi-scale densely connected convolutional network(Densenet) and bi-direction recurrent neural network(Bi-RNN) with attention framework is introduced in this study. Specifically, multi-scale Densenet is exploited to fully extract the multiple scales complex spatial structural information and utilize the strong complementary yet correlated spatial feature information between convolution layers, and Bi-RNN with attention is designed to obtain inner spectral correlations within a continuous spectrum. For comparison and verifying the effectiveness of our proposed method, we test the proposed method with nine other recently proposed methods on Salinas dataset, and the experimental results demonstrate that the proposed method can sufficiently exploit spectral and spatial information and outperforms other competitive methods.
The research on carrier phase time transfer method based on least curve fitting
Authors: Wang Xiang-Lei , Xu Shi-Yi , Xu Jing-Xuan , Zeng Fei
Published: June 2021

The method of continuous GNSS carrier phase time transfer is studied in detail, and the cause of jump in carrier phase time transfer results is analyzed. The relationship between multi-day data jump and daily jump is deduced in theory, and the correctness of the deduced result is verified by the calculation result of actual measured data. Solution is given to abnormal data jump in carrier phase time transfer. A continuous time transfer method based on least square curve fitting is proposed to deal with abnormal jumps in observation data, this method uses the least square curve fitting algorithm to fit and replace the observed data at abnormal moments to achieve continuous time transfer. The method proposed in this paper are validated and analyzed with the actual measured data, and compared with the traditional GNSS carrier phase time transfer solution. The results show that the methos given in this paper can solve the problem of abnormal data jump to a certain extent, effectively improve the continuity, availability and reliability of time transfer results, and also improve the frequency stability of time transfer results.
Analysis on the change of Yubei District construction land in Chongqing
Authors: Liu Nana , Zhou Yang , Cheng Wenyi
Published: June 2021

With the development of economy, countries all over the world are experiencing urbanization at different speeds. As the largest developing country in the world, China is experiencing long-term and sustained rapid economic growth and large-scale urbanization. Chongqing, China is a municipality directly under the Central Government of the People’s Republic of China. It is also a world-famous mountainous city and a comprehensive industrial city. As the main urban area of Chongqing, the population and land use scale are rapidly expanding, and the urban infrastructure construction is further promoted. This paper analyzes the land use change of Yubei District in recent 20 years, which is of great significance to guide the urban planning scientifically and rationally, control the scale of urban land use, and protect the limited arable land resources and ecological environment..
Statistical analysis of the differences of head and face features between terracotta warriors and modern multi ethnic groups based on 3D information extraction
Authors: Hu Yungang , Wang Jingyang , Lan Dexing
Published: June 2021

The terracotta warriors excavated from Qin Shihuang’s mausoleum are precious materials of the Qin Dynasty. They have great historical, scientific and artistic research value and are considered to be the true portrayal of the Qin people. In anthropology, the measurement of head and face features is one of the important means to analyze the ethnic relationship. In this paper, the 3D laser scanner is used to collect the high-precision 3D point cloud data of the terracotta warriors, extract the head and face features of the terracotta warriors, and variance analyze (ANOVA) and cluster analysis with the collected head and face features of 29 modern ethnic groups. Variance analysis shows that there is no significant difference between the terracotta warriors and modern people in the shape of morphological facial length, bizygomatic breadth, nose height, the height of mucons lips, and mouth breadth. Cluster analysis based on head and face features shows that the terracotta warriors belong to the same group with 10 ethnic groups including Mongolian, and they have more similar head and face features.
The Impact of Climate Change on the Energy Consumption of Passive Residential Buildings in the Yangtze River Delta
Authors: Huang Wenjuan , Wang Bojun , Yang Yanping , Dong Shuzhao
Published: June 2021

With the global warming in the future, the meteorological data based on the Typical Meteorological Year (TMY) can no longer accurately reflect the changes in building energy consumption under future meteorological conditions. This paper selects the typical meteorological year (TMY) in the Yangtze River Delta region as the base year data and the monthly scale forecast data provided by the IPCC, and uses the “Morphing” method to predict hourly weather data in 2050 and 2080. The use of energy simulation software Energy Plus of the Yangtze River Delta region in a passive multi-storey residential building energy simulation, analysis of building energy performance under future climate change, projected changes passive residential building energy demand over the next 60 years of trend.
Discussion On Prefabricated Assembly Plan Of Subway Underground Station
Authors: Wei Huang , Meng Ren
Published: June 2021

Prefabricated assembly technology has become an important direction for the development of subway underground stations. Comprehensively considering the three factors of stress, waterproof and construction environment, this paper proposes a set of prefabricated and cast-in-place assembly plans for subway stations. On the premise of ensuring that the overall stress form of subway station frame does not change significantly, the detailed prefabricated joint structure is designed, which effectively solves the waterproof problem of underground structure. The combination of permanent column and temporary column is realized, the investment of formwork support is reduced, and the assembly construction process of subway station is greatly simplified.
Study on Estimation Method of New Construction Waste
Authors: Jin Kai , He Chao , Dong Shuzhao
Published: June 2021

With the rapid development of construction industry and the large discharge of construction waste, there are many environmental problems. In order to formulate and implement the strategy of reducing management at the project level, it is necessary to estimate the amount of construction waste production accurately. Based on two methods, the building area method and the BIM method are used to estimate the amount of construction waste generated by a new residence, and a comparative model is established. According to the results, the method based on BIM can accurately estimate the amount of residential construction waste, improve the management level of residential construction waste and reduce environmental pollution.
Application of BIM technology in a prefabricated complex project
Authors: Liu Zhen
Published: June 2021

With the development of China’s economy, the status of the pillar industry of the construction industry has been highlighted. However, compared with developed countries and regions, the construction industry in China generally has many problems such as large energy consumption, weak management, low level, low profit, and dense personnel. The prefabricated building has entered the public’s vision. The prefabricated building has the advantages of energy saving and emission reduction, reducing environmental pollution and high work efficiency. Therefore, the prefabricated building has become an essential construction method for the development of the construction industry. Although the assembly type has many advantages, but the complicated information, complex technology, design refinement and other problems restrict the assembly type technology level in China. Therefore, it is necessary to combine BIM technology to carry out prefabricated component deepening design, daylighting and energy saving analysis, three-dimensional visualization analysis, construction scheme simulation, site layout process analysis, quality process monitoring, etc., to find complex problems in design and construction and conduct visualization research. This paper takes a complex project as an example to carry out the whole process of BIM application in prefabricated building design and construction, which makes the building realize the integrated innovative design of structural system, electromechanical system and prefabricated construction. The maximal adaptability to the space of the complex building is created, resulting in a high quality construction that adds significant value.
Research on the Restoration Techniques and Prevention Strategies of Historic Buildings in Macao
Authors: Zheng Liang , Chen Yile
Published: June 2021

For the protection of historical buildings, in addition to the policy and legal provisions for the protection of historical buildings, it is also necessary to consider the traditional architectural form, craftsmanship, materials and other factors for specific historical buildings, and adopt appropriate restoration techniques. The text analyzes the common causes of damage to historical buildings in Macau, provides corresponding repair techniques to deal with the causes of damage, provides references and functions for the restoration of historical buildings, and avoids secondary damage caused by improper repair.
Bandwidth Selection of Normal Information Spread Estimation Method for Geotechnical Parameter Probability Distribution
Authors: Kong Lingqi
Published: June 2021

Normal information spread estimation method (NISEM) is an effective method to infer the geotechnical parameter probability density function. However, it is found that the optimal bandwidth calculated by the existing method is not consistent with the actual situation in engineering application. In order to determine the matching bandwidth of NISEM, the histogram grouping number and group distance according to the sample quantity and range are first determined in this paper. Then the bandwidth h of NISEM is calculated, taking h as the benchmark, 0.1h as the step to change bandwidth. And combining with judgment coefficient, the optimal matching bandwidth of NISEM is finally obtained. The validity and rationality of the proposed method are verified by geotechnical test data of two groups of large samples and four groups of small samples in practical engineering. The results show that: under the condition of limited geotechnical samples, the best matching bandwidth is related to the number of histogram groups, which is relative. And the bandwidth of each group of test samples is different. The research work in this paper perfects the application of NISEM in inferring geotechnical parameter probability density function.
Structural Design and Analysis of Zhaogangwang Steel E-commerce Technology Center
Authors: Zhao Ran , Wang Kai Wei
Published: June 2021

This project is a complex over-limit multi-storey structure. The structural over-limit items were analyzed, key parts were adopted to improve the seismic grade, the frame column was made of reinforced concrete column, and the thickness of the floor slab and the reinforcement were designed. The conversion truss was located on the 4th floor, with a span of 25.2m, and adopted H-shaped steel member steel truss. The performance-based design of the structure only meets the requirements of the supporting column conversion truss and related vertical members, and meets the non-yielding of large earthquakes.
Comparative study on the roofs of traditional revival architecture in modern China
Authors: Zhu Yanqing , Luo Wei
Published: June 2021

In this paper, the traditional revival architecture works of four prominent Chinese and Western architects in China are considered for the purpose of analyzing the external form of the roof curves in conjunction with the internal function of the roof truss. The differences between Western roof truss structure and Chinese traditional one in forming the characteristic roof curves of each cases are clearly brought out. The investigation reveals the adaptive and mutual influence of the Western structural systems and Chinese architectural elements on each other, and reflects on the significant contributions of Chinese and Western architects in the modernization and transformation process of traditional revival architecture.
Application of BIM Technology in the Construction Phase of Steel Structure Engineering
Authors: Zhan Zhenguang
Published: June 2021

At present, the continuous development of the construction industry is inseparable from the support of BIM technology. In the construction industry, the construction of steel structures is particularly prominent. With the rapid development of steel structure engineering and the continuous advancement of technology, the technology of BIM has been produced. It is the integration of the two that led to the BIM technology. Only in this way can it play the key to ensuring quality in the construction of steel structures, so it can be said to be an indispensable technology. Therefore, the application of BIM technology in the current steel structure engineering construction can be very beneficial to improve work efficiency, quality assurance and project inventory budget. For this reason, this article analyzes and recommends the application of BIM technology in steel structures.
A novel Technology of Ground Joint Construction on Floor of Aircraft Hangar
Authors: Zhang Weixiong , Mo Tianfan , Deng Deyuan , Chen Zhou , Zhao Di , Chen Zepeng
Published: June 2021

A maintenance hangar of in Guangzhou Baiyun International Airport was selected as an engineering case to show a novel technology of ground joint construction presented in this paper. The construction of the ground joint was described in detail and some conclusions were therefore summarized to show the effectiveness of the technology. The total area of the test section is 33000 square meters, which made a great difficulty in construction process. In order to avoid cracking in concrete, the ground concrete was casted by block and a new implement name “armor seam” was used to control boundary between different concrete blocks. After the implementation of new technology and implement, the flatness and wear resistance of ground, the compactness and integrality of concrete all had great improvement.
Research on Virtual Reality Technology in Landscape Design
Authors: Wang Lin , Guo Juan
Published: June 2021

Through in-depth research on landscape design, it is found that VR technology can indeed improve the visualization, accuracy and immediacy of landscape architects during the research process of landscape design. This technology will bring a revolutionary development in the process of landscape design, and through this technology, 3D vision related information can be connected between virtual and reality. This allows landscape architects to perceive the ecology and concept of design from the five senses, and virtual reality technology also provides a certain theoretical research foundation for future landscape design. To a certain extent, it is conducive to the optimization of the interactive experience of landscape architects. The solution ideas of derivative mixed reality (MR) and augmented reality (AR) are also proposed, as well as the prospect of future development.
Research on Oblique Aerial Photography and its Application in Detection of Hidden Geological Hazards
Authors: Jun Cai , Jie Chen , Jing Li , Peng He
Published: June 2021

The Wu Gorge section of the Three Gorges Reservoir is prone to landslides and collapses of rock masses, which poses considerable threats to the transportation safety along the watercourse of Yangtze River. The oblique aerial photography technique can accurately present the profile and texture information of the observed objects, which can provide data for early detection of geological hazards. In this study, the technique of oblique aerial photography was analyzed in depth, and the obtained oblique aerial photographs were combined with the position and orientation system (POS) data and the ground control points to build a three-dimensional model, and a geological disaster evaluation model was built based on such factors as geological conditions, landform, and hydrological conditions for geological hazard evaluation. Meanwhile, indoor interpretation and fieldwork surveys were performed to summarize the patterns of development and distribution of geological disasters, identify the major contributors to geological disasters in the study area, and master the characteristics of liability of the study area to geological disasters and hidden hazards.
Filtering Processing of LIDAR Point Cloud Data
Authors: Jin Yaxiong , Yuan Xitun , Wang Zhe , Zhai Boqiang
Published: June 2021

During the acquisition of point cloud data by LIDAR, due to system and environment reasons, there will be a large number of discrete points and noise points in the obtained point cloud data, which will affect the extraction of target ground object information. In view of the noise introduced by the system itself and the environment where the target object is when the LIDAR is scanning, a de-noising method combining statistical filtering and bilateral filtering is proposed in this paper.
Fuzzy-based Integration of Sentinel-2 MSI Data for Locating Potential Hydrocarbon Microseepag
Authors: Zhou Ziyong
Published: June 2021

The vertical migration of hydrocarbons from oil and gas reservoirs to the surface and/or subsurface (i.e., microseepage) can induce mineral alteration that results in concentration of ferrous iron, clay, and carbonate minerals at the Earth’s surface. These altered zones may be detected in remote sensing imagery based on their specific reflectance spectral characteristics; zones where three types of mineral alteration occur simultaneously reflect possible hydrocarbon microseepage locations with the potential for underlying oil and gas reservoirs. In this study, a fuzzy set based approach was used to integrate the results of principal component analysis (PCA) and band ratios (BRs). First, each selected indicative principal component (PC) and BR was treated as a fuzzy set, and a corresponding fuzzy membership function defined. The membership degree of each pixel, which indicates the possibility of the presence of specific altered minerals, was then calculated. Subsequently, the Gamma operator was used to fuse all fuzzy sets to create a new fuzzy set, which was then defuzzied and used to indicate the possible locations of hydrocarbon microseepages. The Sentinel-2 MSI data were used to illustrate the approach and the zones of hydrocarbon microseepage mapped.
Characteristics of Thermal Infrared Anomalies during the Earthquakes in Wenchuan, Lushan in Ya’an and Jiuzhaigou
Authors: Na Dong , Hongyue Liao
Published: June 2021

Satellite thermal infrared observation has advantages over other earthquake observation techniques. With MODIS remote-sensing images from the TERRA satellite, the thermal infrared brightness temperature difference variation rate was used to analyze the observation data prior to three Magnitude-7-and-above earthquakes along the fracture zone of Longmen Mountain, and the result showed that there were thermal infrared brightness temperature anomalies one to two months before these three Magnitude-7-and-above earthquakes, and the earthquakes took place along the boundaries of the area where the anomalies occurred. The observation data show that there have been five times of substantial anomalies in the study area, among which four times were correlated to earthquakes.
Spatial-temporal distribution of red tide in coastal China
Authors: He Xinyue , Chen Chao , Lu Chang , Wang Liyan , Chen Huixin
Published: June 2021

The frequent occurrence of red tides in China’s coastal areas has caused huge losses to society and economy, and seriously threatened the coastal marine environment and ecological security. Based on the data of 30 years from 1990 to 2019, this paper analyzes spatial-temporal distribution characteristics of red tide in China’s coastal areas. Our results show that 1557 red tides occurred in China’s coastal areas from 1990 to 2019. (1) There were 961 red tides from 2001 to 2012, which was the high red tide period in offshore China, accounting for 62.00% of the total number of red tides. The number of red tides in the Bohai Sea, Yellow Sea, East China Sea and South China Sea were 117, 103, 588 and 153, respectively. Seasonally, 536 red tides occurred from April to September, accounting for 87.00% of the total number of red tides. (2) In space, according to the kernel density estimation, red tides are mainly concentrated in Bohai Bay, Yangtze River Delta, Pearl River Delta and other regions with relatively dense population and relatively developed economy, especially in Zhejiang Province and the estuary of the Yangtze River. The research in this paper is of great significance to the monitoring and prevention of red tides and water environment management.
Design of Magnetic Gradient Tensor System for UAV
Authors: Junfeng Li , Yong Yang , Weiwei Zhu , Suli Feng , Yijun Han , Jiaqiang Wang
Published: June 2021

The detection method based on UAV has attracted more and more scholars’ attention. In this paper, the basic principle of gradient tensor is discussed firstly, and then the composition of gradient tensor system and the structure are described. After the length of baseline is determined by simulation, a signal collector based on ARM CortexM3 is designed. Through the collector, 12 channels of signals can be collected synchronously, and RTK time and position information are integrated into each frame. The information after framing is transmitted to the ground station for further processing.
Monitoring of Rice Irrigation Area Based on GF-1 Data and Spectral Matching Technology- A Case Study of Chuanhang Irrigation Area in Suqian City
Authors: Tong Daobin , Duan Yuanyuan , Chen Xiuhua , Lu Yizhu , Liu Hongjie , Zhao Guanliang , Song Wenlong
Published: June 2021

China is the world’s largest rice producer and consumer. Accurate identification of rice planting and irrigation area is of great significance to China’s food security. Based on GF-1 multispectral data, spectral matching and OTSU algorithm were used to monitor the rice irrigation area in Chuanhang Irrigation Area from 2016 to 2020. The accuracy was verified by confusion matrix. The overall accuracy was 98.1691%, 91.8706%, 95.2451%, 93.0604%, 91.9697%, respectively. The Kappa coefficients were 0.9541, 0.7898, 0.8777, 0.8330 and 0.7824, respectively, which proved that this method was suitable for rice irrigation area extraction based on high spatial resolution remote sensing data, and could provide technical support for rice irrigation area monitoring in irrigated areas.
Urban Traffic State Prediction Based on SA-LSTM
Authors: Yu Jingyu , Wei Haiping , Guo Hongwei , Cai Yafeng
Published: June 2021

Traffic prediction is the key to intelligent traffic guidance, management and control. Aiming at the spatiotemporal characteristics of urban traffic and the complexity of nonlinear variation of traffic parameters, a long short-term memory network (LSTM) urban traffic condition prediction model (SA-LSTM) based on self-attention mechanism is proposed. SA-LSTM uses the self-attention mechanism to assign different weights to traffic state information in different space and time, reflecting the spatio-temporal correlation of traffic data prediction. It can also avoid the vanishing gradient problem faced by traditional RNN and improve the defect that LSTM cannot accurately express the different importance and spacio-temporal characteristic of traffic information. Based on SA-LSTM, experiments were conducted on the Shenzhen road network data and floating car data. LSTM and SA-LSTM were selected for Comparative verification experiments, and the results confirmed that SA-LSTM is superior to LSTM in multiple evaluation indicators. Moreover, the road spatio-temporal correlations obtained by traffic data analysis and obtained by model learning are highly consistent, which proves that SA-LSTM can precisely learn and express the spatio-temporal characteristics and changing trend of the traffic.
The Realization of Driving Force Constitutive Model of Shape Memory Alloy Based on OpenSees
Authors: Liu Zhenyong , Zhang Mengmei , Li Peigang
Published: June 2021

Based on the driving force test data of shape memory alloy (SMA), the constitutive model of SMA driving force is proposed, and the secondary development is carried out on the platform of OpenSees software. SMA material was added to OpenSees, and the results show that the calculation results in this paper are consistent with the experimental data. It provides a realization path for driving force finite element analysis using OpenSees platform.
Model Test on Ground Surface Settlement and Face Failure of Shallow Tunnel in Dry Sandy Stratum
Authors: Song Weitao , Zhang Pei , Du Xiuli
Published: June 2021

Surface deformation and face failure may occur during shield tunneling in the shallow buried dry sandy stratum. The model shield machine is used to carry out the shield tunneling model test in dry sandy stratum. The surface deformation laws and the active failure process of the excavation face are analyzed by monitoring the surface deformation during advancing and face failure stages. It is concluded that the surface deformation curve is “M” shaped and asymmetrical about the tunnel axis. The surface settlement during face failure goes through two stages, and the surface collapse pit is approximately elliptical, whose center is located on the left side of the tunnel axis when the cutter head rotates clockwise.
Deformation Monitoring of Steel Structures based on Measuring Robots and Global Navigation Satellite Systems During Unloading Construction
Authors: Xu Lishan , Peng Jie , Wei Yongbin , Jiang Kai , Wang Wenqi , Liu Meng
Published: June 2021

The steel-structured corridor project of the Industry Innovation Park (IIP) in Beijing adopts an overhanging design with a large size and span. In the demolition stage of the overhanging support, the steel structures will deform. In order to understand the deformation degree of the steel structures in IIP in real time and ensure construction safety, it is necessary to monitor the deformation process of the steel structures. We select the points sensitive to deformation and key parts of the steel structures as monitoring points, and make an automatic deformation monitoring scheme. We use the deformation monitoring system based on measuring robots and Global Navigation Satellite Systems (GNSS) to monitor the steel structures. Then we compare and analyze the deflection values measured by the two monitoring systems. The results from the two monitoring systems are relatively consistent and mutually verify. The results also show that the steel structures are obviously deformed due to the influence of unloading construction. In addition, deflection values obtained by deformation monitoring are compared with the deformation limit of the key steel components derived from the design code. The results show that the deflection values are within a reasonable range, indicating that the construction design of the steel structures in IIP is reasonable and the steel structures are in safe conditions. The deformation monitoring systems based on measuring robots and GNSS technology used in this paper meet the monitoring requirements in the construction phase and can play their value in similar projects.
A new recognition method for oil pipeline leakage using PCA and SOM neural networks
Authors: Ji Beilei , Zhang Hong , Liu Shen , Zhang Kezheng , Zhang Wei , Zhang Dong , Liu Xiaoben
Published: June 2021

Oils are mainly transported by pipe in long distance for its high efficiency. While oil pipe leakage will cause serious social and environmental consequences, e.g. fire even life lost, water and soil pollution. Thus it is important to recognize pipe leakage at initial stage in engineering practice. In this research, a negative pressure wave based detection method was established for pipeline leakage recognition. Suitable parameters of negative pressure wave signals with significant difference for different working conditions were selected. Principal Component Analysis (PCA) method was conducted to reduce the dimensions of the negative pressure wave vector. Self-organizing map (SOM) Neural network was finally adopted to identify the signals for different working conditions. The proposed method was validated by experimental data, which shows that the methodology gives a high recognition rate, which can be referenced in pipe monitoring in engineering practice.
Technological assurance of the quality of deformed steel products in mechanical engineering
Authors: Shveyov I A , Shveyova E I
Published: June 2021

The article shows the influence of fibrous structure and non-metallic inclusions on the mechanical properties of steel products. The macrostructure of forging the crankshaft was investigated and the places of exit of the elimination zones to the surface of the car part were established. Based on this, there are proposed ways to improve the quality of deformable steel products in the machine building industry.
On the issue of determination of the mechanism of ultrasonic velocity change in the process of uniaxial deformation of the rod
Authors: Yurchenko S A
Published: June 2021

The molecular acoustics method is one of the types of non-destructive testing of materials during the operation of machines and mechanisms. Assessment of the performance of this or that material for further operation is carried out on the basis of changes in the ultrasonic velocity passing through the volume of the material. In this case, this assessment is carried out on the basis of a comparison of experimental data with data on the change in the ultrasonic velocity (UV) in a rod made of the same material subjected to uniaxial deformation. Thus, this method correlates the value of the ultrasonic velocity in the material, after a certain operating time as part of a machine or mechanism, with one or another area of deformation of the rod. They try to explain the changes in the ultrasonic velocity on the basis of the displacement of defects or the rotation of mesoscopic volumes in the material. However, the authors describing in their works the process, use expressions “most likely”, “probably”, which indicates that their explanations are an assumption, and not a strictly established mechanism for changing the ultrasonic velocity. This work shows that in the process of deformation, together with a change of the ultrasonic velocity, both the natural frequency of atomic vibration and the volume of the primitive cell change. The author proposes to estimate the change in the ultrasonic velocity during deformation on the basis of changes in the geometric parameters of the primitive cell in which ultrasound is transmitted along the edges of the primitive cells through the interaction of electron shells of atoms.
Estimation of the thermal gap when soldering waveguide elements
Authors: Kudryavtsev I V , Brungardt M V , Goncharova E A , Li O A , Kolotov A V
Published: June 2021

This paper proposes a method for determining the required gap between the elements of the waveguide path during its assembly by soldering. The need for a thermal gap is defined by difference in mass and dimensional parameters of the elements to be connected, due to which a significant no uniformity of heating and thermal deformations occur. The no uniformity of thermal deformations leads to jamming of one element in another, therefore, the heating time and the size of the thermal gap are need to be determined. The diameter of the solder wire is determined according to the size of the thermal gap and the required fillet of the soldered seam. The performed numerical calculations of the stress state of the obtained soldered seam showed the absence of stress concentration. Mechanical tests have confirmed the high strength of soldered seam.
Simulation of balanced scorecard for forecasting cybernetic cost collaboration of engineering enterprises
Authors: Utkin A I
Published: June 2021

The article examines the problem of simulation modeling of the relationship between the level of production efficiency of mechanical engineering enterprises and the distribution of cybernetic costs in the process of mechatronic robotic functions collaboration. Within the framework of the balanced scorecard concept, based on the methodology of experimental studies using raster electronic mechatronic modeling of cybernetic contact zones, a comprehensive forecasting of the influence of key leading positive and negative projection factors on the effectiveness of cybernetic cost collaboration is carried out. Through the author’s simulation method of criteria-based analysis strategic projections of the balanced scorecard are formed and the simulation model of the resource potential of the cybernetic cost collaboration of engineering enterprises is proposed. As a result of the research, an analytical tool for evaluating and managing the production efficiency is elaborated and it contains the concept of simulation modeling of the interdependence between the cybernetic cost collaboration and the factors of the balanced scorecard projections. The simulation technology of the balanced scorecard ensures the convergence of the processes of functioning of mechatronic robotic factors, components and systems within the framework of optimizing cybernetic costs and identifying prospects for the sustainable development of mechanical engineering production.
Smart manufacturing control system based on deep reinforcement learning
Authors: Nikolaev E I , Zakharova N I , Zakharov V V
Published: June 2021

The base of smart manufacturing contains two main components: cyber-physical systems and the Internet-of-Things (IoT). But the progress in machine learning, Big Data and deep learning technologies have a great impact on all areas of the modern economy, including information technology, industry. The capabilities of deep learning models associated with the ability of intelligent systems to make decisions significantly transform the key paradigms of intelligent production systems. The gap between the principles of human decision-making and intelligent systems is constantly closing. New approaches to decision-making based on deep models allow bringing the benefits of human control into production processes, and, at the same time, getting rid of errors associated with the human factor. The paper proposes an architecture for building multipurpose manufacturing systems based on deep machine learning models and reinforcement learning technologies.
Flow model in the impeller of a centrifugal pump
Authors: Chernenko V V , Chernenko D V
Published: June 2021

The calculation of the fluid flow in the interscapular channel of a centrifugal impeller with a finite number of blades, the construction of the energy characteristics of the impeller and its optimization by the number of vanes are considered. The calculation consists of two parts: firstly, the determination of the theoretical pump head taking into account the effect of a finite number of vanes based on the analysis of the force interaction, and, secondly, the determination of hydraulic losses in the impeller by integrating the friction stresses over the limiting surfaces. The results from both parts are used to optimize the number of vanes in the pump impeller.
Methods of calculation of standard parameters in the system of maintenance and repair of the atmospheric column
Authors: Vakulenko M V , Zharinova N V
Published: June 2021

The modern theory of repairability of machines and mechanisms has received significant development. Today there are already theoretical concepts and prerequisites for creating a scientifically sound system of maintenance and repair of technical products of various branches of technology. From these positions the review of various repair strategy in aspect of their applicability to an atmospheric column of K-2 of installation of primary oil refining of EDP-AVT-6 is interesting.
Problems of hydrate formation in production oil products from gas condensate wells
Authors: Ivanov O S , Afanasenko V G , Zaripov R T , Nigmatullin M A , Fedorov A Y
Published: June 2021

One of the most important problems in gas production at fields is hydrate formation -a process in which hydrates, settling on the inner walls of technological equipment, reduce their throughput, and therefore it may be necessary to stop the entire technological process for the purpose of unscheduled repairs, which leads to significant economic losses. The article presents the results obtained in the course of research, analytical work, namely: the assessment of the share of hydrocarbon production by region; analyzes of the main methods of combating hydrate formation; development of a methodology for comparing methods of combating hydrate formation among themselves; determining the most acceptable geography for the application of a particular method; forecast of the popularity of the method for 5 years.
Use of phased supply of hydrogen additives for improvement of the ecological characteristics of the Wankel rotary engine
Authors: Fedyanov E A , Levin Y V , Itkis E M , Prikhodkov K V
Published: June 2021

The Wankel rotary engine, designed according to Wankel’s scheme, is more adaptable for running on hydrogen fuels than traditional reciprocating engines, possessing lower pre-ignition and backfire probability. Hydrogen additive to main air-fuel mixture helps to decrease incompleteness of combustion in the vicinity of rear rotor apex. Experimental data for Wankel rotary engine VAZ-311 performance on hydrogen blends with hydrocarbon fuel is presented. Researches are performed on partial loads, where hydrogen mass fraction additions to the fuel mixture didn’t exceed 5%. It is shown that for partial loads (20% of full load) and engine speed n= 2000 min−1 5% hydrogen addition by mass yields to 4.2% decrease of brake specific fuel consumption (hydrogen consumption was converted to gasoline consumption computed proportionally to their combustion heats ratio). Amount of unburned hydrocarbons for the conditions mentioned reduces in a factor of 2 and emission of carbon monoxide reduces to 40%.