bluuebunny/crossref_metadata_2025 huggingface dataset:
Shallow-Water Bathymetry Estimation at Pantai Tok Jembal, Terengganu, Malaysia Using Landsat 8 (OLI)
Authors: Hashim Nur Syahirah , Windupranata Wiwin , Tahar Khairul Nizam , Sulaiman Saiful Aman Hj.
Published: May 2021

Satellite-derived bathymetry (SDB) emerging as a cost-effective that provides high-resolution mapping over a wide area. This method can map shallow water environment, especially that are difficult to access by boat or airplane. SDB is not for replacing the conventional bathymetry method but to assist. The accuracy of SDB does not meet current International Hydrographic Organization (IHO) S-44 standards but still can use when planning hydrographic surveying, i.e., unsurvey areas or areas with old data. In this paper, the SDB method applies to produces bathymetric mapping at Pantai Tok Jembal, Terengganu, Malaysia. Derived from Landsat 8 images and for the bathymetry method use is an empirical-based method, Log-ratio Transform. To diversify the result, utilizing three atmospheric correction approaches: No. atmospheric correction, Dark Object Subtraction (DOS), and Fast Line-of-sight Atmospheric Analysis of Hypercubes (FLAASH). The SDB result then evaluates using Single Beam Echo Sounding (SBES) ground truth data. The result indicates that Log-ratio Transform with DOS atmospheric correction produces the best result based on the error analysis. The error mostly occurs when there is no data available in the particular area due to cloud cover and shallow water area, i.e., inaccessible boat or vessel area. The error also occurs as it goes deeper area where the light is limited. In conclusion, this study successfully produces bathymetric mapping at Pantai Tok Jembal, Terengganu, Malaysia, through the SDB technique. This method strengthens the SBES data by effectively filling the data gaps; however, further research needs to fulfill this support in giving high accuracy and reliability.
Surface and Subsurface Utility Database and Mapping: UiTM Shah Alam
Authors: Hamzah Nurul Amalina , Nisa Othman Ainon , Khalid Nafisah
Published: May 2021

Rapid urbanization needs detail planning to optimize the land use to provide facilities to people. As urban growth, the use of land is shifting from the use available space above ground (surface) to the use of underground (subsurface) spaces. Many have not realized the significance of subsurface utility mapping which is vital as reference before starting any excavation work. Incomplete information about the location of the buried subsurface utilities may cause unwanted incidence to happen and make it difficult for upgrades and maintenance works to be done. In order to provide readily, reliable and up-to-date utility data it is necessary to have a centralized database that combines all utility data. Therefore this study is conducted to propose a utility database to Facility Management of UiTM Shah Alam in storing, maintaining, monitoring, updating and easy to retrieved surface and subsurface utility data that installed inside UiTM Shah Alam area. Data used in this study focuses on Electrical, Telecommunication and Water Supply utility which was obtained from Facility Management of UiTM Shah Alam in form of a digital utility mapping plan separately. As the final product of this study is a database that will have various advantages in future use, SaS Utility Database has been developed based on Underground Utility Mapping Circular prepared by JUPEM and has been applied MS1759 standard attribute for each data to allow data sharing effectiveness in between organizations. Apart from that, to ensure the data stored in the database is at its best, topology analysis has been run by sets 3 types of rules for each utility category to detect any error that may occurs during digitizing or conversion stage. The findings of this study is with the SaS Utility Database, all utility data stored in a database can be secure, manipulate and converted in various formats depending on its purpose in order to create new information or knowledge as well it will enhance the work process in the future in terms of data sharing with other organization.
Multi-sensor Assessment of Geological Lineament Detection
Authors: Arifin Ainyyafiatty , Adnan Nor Aizam , Rasam Abdul Rauf Abdul
Published: May 2021

The advances in remote sensing technologies and geographical information sciences are applicable in various branches of geosciences. The high availability of remote sensing data provides a wide range of spatial and spectral resolutions that can be utilized for lineament mapping purposes, especially in detecting geological linear features in remote areas. The aim of this study is to compare multi-sensors active and passive remote sensing technologies in lineament mapping, based on automatic image processing tools. Landsat 8, Sentinel 1 and Sentinel 2 satellite data will be processed to detect lineaments between the state boundaries of Selangor and Pahang in the Peninsular Malaysia, with reference to the published geological map. In detail, lineaments will be automatically extracted after image enhancement processes. Then, the output will be imported in a geo-graphical information system to further analyze the extracted lineaments. Overall, statistics descriptions, density, and orientations analysis indicate a correlation between the extracted lineaments and the geology of the area. Furthermore, lineaments extracted from Sentinel 1 radar images show the most significant result. Sentinel 1 data indicated about 6396 extracted of lineaments with 2465.93km total length as compared to Sentinel 2 with only 2637 lineaments extracted and total length of 1045.92km. The accuracy assessment of matching lineaments provides the Sentinel 1 as the best sensor compared to both the Sentinel 2 and the Landsat 8, with root mean square errors (RMSE) equal to 1.660, 1.743 and 2.757, respectively. Therefore, both remote sensing technologies and geographical information sciences can be effectively integrated within the field of the structural geology, thus allowing the mapping of lineaments in a more practical, cost and time effective way.
Developing a 3D City Model Database Beyond Cadastral Purposes
Authors: Halim Nur Zurairah Abdul , Lim Chan Keat , Karim Hairi
Published: May 2021

Smart KADASTER Interactive Portal (SKiP) is a platform developed by the Department of Survey and Mapping Malaysia (JUPEM), where the cadastral survey information can be visualised in a 3D environment and expanded to satisfy other new-found requirement and beyond cadastral purposes. This paper outlines the approaches used to develop the SKiP phase 2 utilising 3D CityGML database schema. The 3D CityGML Level of Details (LoDs) reconstruction data source is derived primarily from cloud points and images of various airborne and terrestrial geomatic technologies. The 3D building models were constructed with Trimble SketchUp software and later imported into the respective CityGML LoD1, 2, 3 and 4 models (*.gml). The models were then imported into PostgreSQL database based on PostGIS schema and CityGML schema (3D City DB). A 3D Unique Parcel Identifier (UPI) is introduced to link the respective 3D LoD buildings with their corresponding 2D cadastral lot. Information (attribute) across multiple LoDs is retrievable via UPI ID query, and systematic updating tasks is feasible using the database. Quality assurance and control (QAQC) was applied to the CityGML LoD models and schema using FME workbench, 3DCityDB and CityDoctor. At the end of this paper, discussion and conclusion are outlined, with proposals for future work. Finally, this paper is hoped to help other users and researchers systematically build a 3D city model database and be aware of the possibilities of Smart KADASTER’s potential application beyond Malaysia’s cadastral purpose.
Evaluating the Distance Impact to the Scanning Topographic Object with the 3D Point Cloud Resolution
Authors: Ghazali Rosmadi , Razali Mohamad Hezri , Ghani Muhammad Nasri Abdul , Rasam Abdul Rauf Abdul
Published: May 2021

FARO 3D Terrestrial Laser Scanner (TLS) system was used to evaluate the impact of distance on scanning the topographic, building or structure object due to the lack of knowledge on the impact of the distance toward the resolution of the image produced by the terrestrial laser scanner. There is a lot of high-rise building that need to be monitored from time to time to prevent unwanted catastrophe from accruing in a good plan city. This study aimed to investigate the accuracy of point cloud produced by the laser scanner by scanning the object at a different distance are performed, especially to find a suitable distance for optimum accuracy. The main fieldwork activity involved is the selection of the most appropriate position for setting up the TLS at three different distance which is 30m, 40m and 50m from the building. The chosen position must cover the same area view to make sure the image can be used to compare with each other in term of accuracy. Before scanning the selected side of the building, several targets were placed on the building as it is necessary to tie the building to control points on the ground that have been acquired with Real-Time Kinematic (RTK) Global Positioning System (GPS). The image processing is done by following the flow of the scanning using Scene software to link the target with 3D coordinate and generate a point cloud. The accuracy of the 3D image captured at three different distance generated by the Scene software is compared to evaluate the impact of distances on accuracy. It can be suggested that distance selected for the experiment is reliable for high accuracy measurement in monitoring of structural movement.
3D Marine Cadastre within Land Administration - Review
Authors: Zamzuri Nor Ainn Alfatihah , Hassan Muhammad Imzan
Published: May 2021

Cadastre was used to identify the dimension and position of the properties defined in legal documents. It consists of the geometric description of the parcels that describing the interests and ownerships including the property’s value. Cadastre plays an important role in land administration for state authorities and federal organizations in terms of ownership (rights, restrictions, and responsibilities). Meanwhile, cadastre in the marine area is still quite unclear due to separate working systems between land and marine region. Coastal and maritime spaces with various uses regularly lead to overlapping rights issues in the water surface, water column, and seabed as well as conflict in technical, legal, and stakeholder management. Since some part of the marine area is considered as land space, there were a few ideas that have been proposed in managing marine area within land administration to overcome those issues. The current land standard data model that has been referred to, is Land Administration Domain Model (LADM). This standard has been proven relevant to 3D cadastre inland and marine environments. Some works discussed the probabilities of managing the marine environment within land administration. Thus, this paper attempted to review the possibilities of integrating marine cadastre within land administration.
Accuracy Assessment of Large-Scale Topographic Feature Extraction Using High Resolution Raster Image and Artificial Intelligence Method
Authors: Marena O , Fitri M S N , Hisam O A , Kamil A , Latif Z M
Published: May 2021

Feature extraction is the most important application in spatial data management for updating of topography databases. The importance of features extraction from high resolution raster imagery arises from the fact that it enhances the efficiency of map generation and map production. Presently many studies have been addressed to extract topographic using semi-automated methods using various types of technologies. The objective of the study is to evaluate the planimetry accuracy of topographic features extracted using combination of high resolution and artificial intelligence algorithm. Conventional methodology for features extraction is time consuming and costly. Therefore, automated methods are crucial needed for efficient large area mapping with cost efficient. Maxar 0.3 cm high resolution raster imagery is an important issue in many application domains. The Maxar-Ecopia method is applied in this study to update the large-scale topographic map. Maxar-Ecopia method demonstrates the potential use of high-resolution raster imagery as main source and artificial intelligence algorithm for topographic feature extraction. The planimetric accuracy (RMSEr) of vector extraction is 0.882m. This method is highly accepted to be applied for rapid updating of large-scale topographic map.
Design Strategies for Urban Agriculture in Dense Urban Areas
Authors: Shi Xiaoying
Published: May 2021

Urban agriculture provides economic, social, and cultural functions that improve human health and well-being for individuals and communities that reside in cities. However, with high land values and densely populated areas, available spaces for urban agricultural development are relatively rare. This research aims to explore feasible ways for residents that live in dense urban apartments to operate urban agriculture within the confines of a limited space. The design strategies for apartment farming will be summarized, which will provide opportunities for urban residents to grow fresh food, despite living in dense urban areas.
Research on the Measurement Model of the Relationship between Economic Growth and Environment in Shandong Province
Authors: Xu Zhaoxia , Xing Renpeng , Shao Bo , Shan Tiecheng
Published: May 2021

Through the analysis of the measurement model of the environmental and economic data of Shandong Province from 1989 to 2003, it is found that the fitting curve between industrial “three wastes” emissions and economic growth does not completely conform to the characteristics of the typical environmental Kuznets curve. This paper believes thinks that the economic development, changes in industrial structure, upgrading of energy consumption structure, policy and technology are the main factors leading to the non-typical environmental Kuznets Curves in Shandong province.
Simulation on Multiple Supervision Strategy of Construction Waste in China
Authors: Zheng Feng , Wang Chen , Wu Xiang
Published: May 2021

Along with the rapid urbanization of China, the construction waste disposal becomes an urgent problem than ever before. Through evolutionary game simulation, we studied the evolution law of government - enterprise - social governance system by using simulation and analyzed the case of “12 20” special heavy landslide accident in Shenzhen construction waste dumping site. Results indicate that the economic efficiency of the risk strategies, the strength of social supervision, the punishment intensity of government and the cost coefficient of illegal waste disposal all have a significantly influence on the multi-parties evolutionary game model. It is concluded that, for the effective supervision of construction waste disposal, government should built social supervision mechanism, promote the strength of social supervision, enhance the punishment intensity of government, and reduce the risk income of waste disposal enterprises.
Experience of Lead Pollution Control in Outdoor Shooting Ranges in the United States
Authors: Li Xu , Shu Tianchu , Guo Hanwen , Bai Binjie , Nie Xiaoqin
Published: May 2021

In this paper, the exposure ways and risks of lead in the shooting field are discussed, the factors influencing lead migration in the soil are analyzed, and the control measures and the methods of removing and recovering lead in the soil are summarized. The results demonstrate that soil pH has a great influence on the mobility of lead, which can be reduced by applying lime to improve soil pH. However, this approach is only suitable for daily maintenance. The removal of lead completely depends on screening and soil leaching, which can remove more than 99% of the lead particles.
Assessment of the impact of windows and building orientation on the energy intensity of container houses using BIM
Authors: Shi Mingyu
Published: May 2021

With the rapid development of the container industry, the use of container houses has become extensive. This paper uses the method of orthogonal experiment to study the change of the energy consumption of the container by changing the size, height, direction of the container window and the direction of the container building. The building used a container house in Xiangfang District, Harbin City, Heilongjiang Province, China as a case. 71 scenes were created, 3D modeling was performed using Revit and imported into Green Building Studio for Energy Use Intensity (EUI) calculation. This research is divided into three processes. The first process is to study the impact of window-to-wall ratio. Through the first process, a rule is obtained, and the height of the window has the greatest impact on energy consumption when the window-to-wall ratio is 0.2. Therefore, in the second process, the window-to-wall ratio of the windows is fixed to 0.2. When the height of the windows of different orientations changes, the energy consumption of the container house changes. In the third process, based on the results of the first two research processes. the orientation of the container house is changed, namely the north-south orientation and the east-west orientation, and the energy use intensity calculation is performed again. The results show that the window-to-wall ratio has the greatest impact on the energy use intensity of the container house. The larger the window-to-wall ratio, the greater the energy consumption. The height and orientation of the windows have an impact on the energy use intensity but not much.
Impact risk assessment based on Grey accident tree
Authors: Zhu Ye , Chu Yanwen , Hu Fei
Published: May 2021

The impact ground pressure is currently restricted mine production and safety of one of the typical dynamic disasters, this paper USES the two-dimensional evaluation method from two dimensions of risk and possibility analysis of the impact of the situation in a coal mine in shandong province, using fault tree (FTA) to determine the impact, with grey correlation analysis to find out the key factors that affects the risk impact and to improve the traditional fault tree analysis method, effectively solve the traditional fault tree in uncertain complex system are not suitable for as a quantitative analysis of the defects Combined with the field mining simulation of Shendong Group to judge the stress concentration and migration, to assist in verifying the impact risk of Shendong Coal Mine, the multi-parameter early warning system combining geological factors and mining factors is established, and the key factors of impact risk are corrected.
Technology for Optimizing Flue Gas Pollutant Emission Reduction in Oil Field Heating Furnace Combustion
Authors: Song Chunyan , Zhou Hongbin , Guo Ruiqing , Wang Xiaohui , Zhou Lei , Zuo Wenjie , Sun JingWei , Zhang Yaqi
Published: May 2021

The energy consumption of the heating furnace is an important part of the energy consumption of the oilfield gathering and transportation system. The low energy efficiency of the heating furnace will directly lead to the increase of oilfield production costs. In response to the national energy-saving and emission-reduction policy, the oilfield has implemented energy-saving practices in heating furnace load adjustment, efficient combustion, excess air coefficient control, flue gas waste heat utilization, and furnace modification. It is clear that the energy efficiency of oilfield heating furnaces is still lower than foreign advanced levels. There is an urgent need for further energy conservation and efficiency enhancement. MVR low-temperature flue gas heat recovery technology, flame shape matching technology, nanofluid heat transfer enhancement technology, solar auxiliary heating technology and other new technologies that can be used for energy saving and consumption reduction of oilfield heating furnaces provide a reference for oilfield heating furnaces to tap the potential and increase efficiency.
Environmental Risk Assessment Method for Drilling Solid Waste Resource Utilization
Authors: Song Chunyan , Wang Xiaohui , Li Yuan , Zhang Nan , Guo Ruiqing , Xie Xueying , Zheng Hongyue , Gu Zhenqi
Published: May 2021

With the gradual increase in the comprehensive utilization rate of industrial solid waste, the quality and safety of drilling solid waste recycling products have become increasingly prominent. This article starts with the hazards of drilling solid waste resourced products to the human body and the environment, adopts the method of hazard factor identification, constructs a qualitative and quantitative index system for the quality and safety evaluation of solid waste resourced products, and proposes corresponding evaluation procedures and countermeasures.
Research on the correlation between electricity consumption and pollutant emission concentration based on DCCA and the prediction of pollutant emission concentration
Authors: Li Guangye , Zhang Jiaxin , Wen Xin , Xu Langming , Yuan Ying
Published: May 2021

Based on the big data of electricity consumption in industrial enterprises, this paper uses the DCCA (Detrended cross-correlation analysis) method to study the correlation between electricity consumption and pollutant emission concentration. The BP neural network method is also used to model and predict the pollutant emission trends, in order to monitoring of pollutant emissions in industrial enterprises reasonably. The research results show that there is an obvious correlation between electricity consumption data and pollutant concentration data, and the pollutant emission concentration can be predicted to a certain extent by building a BP neural network model. and the pollutant emission concentration can be predicted to a certain extent by building a BP neural network model. The prediction of pollutants through electricity consumption data helps enterprises to actively respond to the national environmental protection policy and promote national economic development, while allowing more enterprises to enjoy the convenience brought by big data analysis.
A statistical analysis of climate change in Guiyang, Southwest China
Authors: Hou Shuangshuang , Yu Lifei , Yan Wei
Published: May 2021

With global warming a certainty now, all human activities should adapt the local climate change. It is important to study the characteristics of climate change in Guiyang due to rapid development and little research has been carried out. Supported by meteorological data of 8 weather stations in Guiyang from 1980 to 2017, Mann-Kendall analysis results of the study area for monthly mean temperature and total precipitation show that warming and the alteration of precipitation pattern is appearing with the temporal-spatial heterogeneity. The changing of the precipitation temporal-spatial patterns will indeed increase the risk of drought and flood disasters. The abrupt warming point occurs mainly after 2000, while the abrupt point of precipitation is not significant. The temporal-spatial heterogeneity of climate change is should be considered when implementing the development strategy. Our study can provide a reference for regional climate change research and guidance for making key decisions in the development in the term of environment.
Static and random vibration analysis of an air freight package
Authors: Diao Jiandong , Huang Qiushuang , Pan Yang , Zhang Chenfeng
Published: May 2021

Due to the significant speed advantage, air freight has become the preferred long-distance transportation method for precision electronic instruments and other high-value products. In order to avoid the impact of air load conditions on the safety of cargo and aircraft, it is necessary to calculate and check the carrying capacity of cargo package. In this paper, finite element analysis has been applied on design of an air freight package. Firstly, make force analyze, and use the maximum force for static analysis to solve stress distribution. Then, make modal analysis and random vibration analysis to obtain the 3σ stress and deformation. According to static analysis, the maximum equivalent stress of the package under emergency conditions is less thanσb. According to dynamic analysis, the probability that the maximum stress of the package is greater than 56.69Mpa does not exceed 0.3%.
Example-based Reasoning for Deformation Design of Typical Aerospace Parts
Authors: Ming Liu
Published: May 2021

To address the tedious process of modelling typical aviation parts, it is difficult to achieve rapid modelling phenomenon. Component Application Architecture, or CAA, is used to develop CATIA. It proposes a deformation design method for typical aeronautical parts based on example reasoning. A library of typical part models is first created, then similar models are retrieved by instance retrieval and matching, followed by retrieval of similar models. The next step is to analyze the target design model and the retrieved 3D model, and then make changes to its features to complete the deformation design. The results show that the deformation design method can quickly and accurately create 3D models, improve design efficiency and quality, and provide an effective guarantee for the processing and manufacturing of typical aeronautical parts.
Analysis of the Application of High Performance Liquid Chromatography
Authors: Chen Xiaodan , Wang Liang
Published: May 2021

With the continuous improvement of detection accuracy and precision requirements, the rapid development of modern detection technology, high-performance liquid chromatography with its high separation efficiency, high selectivity, high detection sensitivity, high accuracy of the advantages of a wide range of applications in many fields, is a qualitative and quantitative analysis technology. In this paper, the application of high performance liquid chromatography in food inspection, drug inspection and environmental monitoring is comprehensively described.
Analysis on the Control of Faults on the Formation of P-1 Reservoir in Syncline Area of X Oilfield
Authors: Li Qing
Published: May 2021

Hydrocarbon occurrence in Putaohua Formation of Xujiaweizi Syncline area is largely controlled by three types of faults. The long-term faults were the conduit of hydrocarbon from source rock Q1 to Putaohua reservoir. These long-term faults could cause new accumulation and leakage of accumulated hydrocarbon simultaneously during their active time. The middle-term and short-term faults are the sealing faults to enforce the entrapment of hydrocarbon in the fault-block traps. The relationship of fault conduits with the related traps is the main controlling factor for the hydrocarbon distribution in the faulted blocks around the center of Xujiaweizi Syncline. This hypothesis can well explain why the central portion of the syncline is with poorer accumulation than the surrounding horst blocks in which the accumulation are rich in their anticline structure traps.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.