Table of Content

25 January 2019, Volume 0 Issue 1

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Review of application areas for side scan sonar image

WANG Xiao, WANG Aixue, JIANG Tingchen, YANG Yi, ZHANG Boyu

2019, 0(1):  1-4.  doi:10.13474/j.cnki.11-2246.2019.0001

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Side scan sonar (SSS) image is widely used in ocean engineering, marine science, underwater object detection and recognition and other fields. The continuous improvement of the cost-effective of SSS equipment has brought new opportunities to the deeper application of SSS image. This paper summarizes the application areas of SSS image, and provides practical guidance for the further application of this traditional equipment. At the same time, the research direction of the subsequent precise processing of the SSS image is given.

The research status analysis of differential TomoSAR

ZHANG Yue, PANG Lei, XU Xigui, ZHANG Tian, ZHANG Ruiju

2019, 0(1):  5-12.  doi:10.13474/j.cnki.11-2246.2019.0002

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Differential TomoSAR is a 4D information inversion technique that develops from SAR tomography. It performs a 4D space-velocity imaging that not only provides 3D imaging, but also gains the deformation information of the targets. It has important value in monitoring dynamic city infrastructure deformation,accessing ancient buildings risk and monitoring safety of engineering.This paper introduces the principles of differential TomoSAR imaging and discusses the problems in imaging process. Then it summarizes research status of imaging algorithms and features. Finally, it presents the primary applications and prospects of differential TomoSAR.

Research on virtual gridized BDS/GPS position difference method

LIU Yi, GU Shouzhou, BEI Jinzhong, YU Mengyang, ZHANG Tao, CHU Bin

2019, 0(1):  13-17.  doi:10.13474/j.cnki.11-2246.2019.0003

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General user terminal positioning accuracy can not meet the accuracy requirements of specific scenes. Based on the local CORS network and fusion data,this paper generates position corrections to correct the terminal position.After extensive testing of the development server and terminal software,the optimal scheme of grid generation and configuration is analyzed,and the real-time position differential external conformance test of virtual grid is performed.Experiments show that the virtual grid location difference can improve the accuracy of ordinary terminal positioning,and can provide the public with a plane RMS less than 3 m location service.

Research on geomagnetic indoor positioning technology

ZHOU Jiapeng, WANG Yunjia, LI Xin, CAO Xiaoxiang, CAO Hongji

2019, 0(1):  18-22.  doi:10.13474/j.cnki.11-2246.2019.0004

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In the technology of indoor positioning based on fingerprint database,the traditional data collection method is single point collection,which is time-consuming and laborious,and is not conducive to the updating of data.According to the characteristics of the geomagnetic data,this paper presents a fast fingerprint acquisition method,with the help of Kriging interpolation algorithm quickly built geomagnetic digital reference map,and uses the dynamic time warping to achieve rapid positioning.Through experimental test and data analysis,the positioning accuracy of fast acquisition mode can meet the needs of users' location service and has high practical value.

A method of weight determination based on the phase residual of ground control points to mitigate phase caused by orbital error in InSAR

CHEN Xue, YANG Honglei, PENG Junhuan, FEI Xiangze, ZHAO Binbin, MA Jianguo, SONG Tunfang, ZHANG Wuyang

2019, 0(1):  23-28.  doi:10.13474/j.cnki.11-2246.2019.0005

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There are fringes caused by baseline in the interferogram even in flat area. This phase component is reference phase. At present, the common method of removing orbit error is to calculate the initial baseline based on the orbit state vector, and then the precision baseline is obtained by using the least square algorithm according to the information of the ground control points. Alternatively, fast Fourier transform or surface fitting is applied to get rid of the trend phase which is remained after the reference phase corresponding to the initial baseline is removed. Since the reference phase is eliminated before atmospheric delay phase and the deformation phase, the precision of baseline estimation is susceptible, which may affect the accuracy of deformation. Interferogram has a trend phase component after the reference phase is removed. Therefore, in this paper, a method of weight determination based on the phase residual of ground control points is proposed to improve the accuracy of baseline estimation. Simulation experiments and practical applications show that the method is effective and feasible.

Research on UAV remote sensing image matching using feature combination detection algorithm

WANG Xiaohong, HE Zhiwei, DENG Shixiong, CAO Liuxia, LI Chuang

2019, 0(1):  29-33.  doi:10.13474/j.cnki.11-2246.2019.0006

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Image matching is fundamental to remote sensing image mosaic and 3D modeling using UAV remote sensing images.A fast matching method of UAV images based on feature combination and RANSAC algorithm is proposed in this paper.The matching method first uses the AKAZE algorithm to detect the feature points of the image,and then uses the SIFT descriptor to describe the feature vectors and obtain the main direction of these feature points.Finally,the accurate matching is made by the RANSAC algorithm based on the single mapping transformation matrix.In this paper,the writer has carried out the experimental comparison analysis on the proposed matching method and algorithms. And the results were shown as follows:the matching method proposed in this paper inherits the fast matching ability of the AKAZE algorithm,with a total matching time in the middle of that consumed by the AKAZE algorithm and the SIFT algorithm,which accounts for around 20% of the time needed using the BRISK algorithm.At the same time,this matching method inherits the performance of multiple matching points of the SIFT algorithm.From the overall matching effect,the matching method in this paper is superior to the AKAZE,SIFT and BRISK algorithms.

An automatically recognizing method for transmission towers from ALS point cloud

LIU Yang, YANG Bisheng, LIANG Fuxun

2019, 0(1):  34-38.  doi:10.13474/j.cnki.11-2246.2019.0007

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In this paper,a method is proposed to recognize the transmission high voltage towers automatically in ALS point cloud.Firstly,we denoise the ALS data with statistical method.Secondly,we calculate and analyze 2D grid features to extract the rough area of transmission towers.Finally,we recognize the transmission towers from rough tower areas by confirming the bounding grids with linear feature,and calculate the 2D tower center by hierarchical slicing analysis.The proposed method is validated with the transmission line ALS data obtained by the actual inspection of the large-scale unmanned helicopter.Experiment shows that the proposed method recognizes the transmission towers automatically and effectively,which means the proposed method can be applied to processing actual transmission inspection ALS data.

Indoor real 3D mapping based on trolley SLAM and its application

HU Bo, WEI Shuangfeng, YAN Qiang, WANG Jingpu, HUANG He

2019, 0(1):  39-43,49.  doi:10.13474/j.cnki.11-2246.2019.0008

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Taking the trolley SLAM mobile mapping system-NavVis as the data acquisition means, this paper briefly introduces its working principle and the technical flow of indoor real-time 3D mapping in details, and realizes the online release of indoor 3D real map. At the same time, two application functions such as POI addition query and indoor navigation path planning are customized for the map. NavVis provides a complete set of solutions from data acquisition, data processing, and network publishing to application. It provides a useful reference for the development of indoor trolley SLAM and the production of high precision 3D real map.

Point cloud deformation analysis method of feature point self-constrained based on multistation

WANG Chong, FAN Baixing, PI Gang, WANG Deli, XIANG Minzhi

2019, 0(1):  44-49.  doi:10.13474/j.cnki.11-2246.2019.0009

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In order to monitor the dangerous deformation body, such as dam, high-rise buildings, landslide area and goaf, the intelligent total station, GNSS measurement, 3D laser scanning and other deformation monitoring technology cannot achieve the comprehensive deformation analysis of deformation feature points and point clouds commendably, the point cloud deformation analysis method of feature point self-constrained based on multistation is proposed. The discrete feature points and the whole point cloud deformation data of the deformable body are obtained, and the shape variables of point cloud to the model are obtained using the feature point deformation vector, so as to depict the whole deformation information of the deformable body. The experimental results show that the shape variables of point cloud to model can be successfully calculated by using the proposed method. By statistical analysis, the expected value of the true error of all points is -0.04 mm and the precision of the results is 1.2 mm. The experimental results can reflect the whole deformation information of the deformable body and have high accuracy.

Cloud detection for Chinese high resolution remote sensing imagery using combining superpixel with convolution neural network

XU Qiheng, HUANG Yingbing, CHEN Yang

2019, 0(1):  50-55.  doi:10.13474/j.cnki.11-2246.2019.0010

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Accurate cloud detection in Chinese high resolution remote sensing imagery is very low, due to the fact that there are few image bands and limited spectral range. In this study, high resolution remote sensing image cloud detection method based on convolution neural network is proposed. At first, in terms of network training, this paper obtains the feature of remote sensing images through using principal component transform and unsupervised pre-training network structure. Then it enters the image block into the network for cloud detection using the superpixel segmentation method for segmentation. Finally, the test image block is spliced, and the entire image cloud detection is completed. Experiments show that this method has high computational accuracy and the ranges of the spectral bands are not a limit.

A method of urban built-up area boundary recognition based on vehicle track data

WANG Shanhui, ZHANG Hesheng

2019, 0(1):  56-59,64.  doi:10.13474/j.cnki.11-2246.2019.0011

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The boundary of urban built-up area is an important basis of urban land resource management and urban expansion management. In this paper, a method based on taxi track data is proposed, using multi-resolution regular grid contrast analysis and Densi-Graph threshold determination method to automatically extract urban built district boundaries. In this study, taxi track point data of Beijing city in 2008 is used to calculate and extract the boundary of urban built-up area according to this method. And the extraction results are consistent with the distribution map of Beijing's land cover in 2008. Besides, given in China's Urban Statistical Yearbook, the built-up area of Beijing municipality in 2008 is 1 310.94 km². And the area of the built-up area extracted by this method is about 1 077.33 km², so the extraction accuracy is about 82.18%, indicating that this method can get the accurate range of built-up area.

Research on radiance correction of mini snapshot high spectrometer load on UAV using multi-target

LI Changchun, WANG Yanjie, MA Chunyan, MA Xiaoxiao, WANG Shuangting

2019, 0(1):  60-64.  doi:10.13474/j.cnki.11-2246.2019.0012

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Mini snapshot high spectrometer can get images with two spatial dimensions and one spectral dimension at the same time, and the exterior orientation elements of the whole hyper spectral images instead of each frame, which can avoid geometric instability when scanning and can solve the large geometric deformation problem of push broom high spectrometer. So mini snapshot high spectrometer is suitable for small unmanned aerial vehicle platform. At present, the research mainly focus on radiometric correction of push broom high spectrometer. The application time of snapshot high spectrometer is relatively short, and the research on image processing is not adequate which has hampered wider use of this system. In this paper, the radiation response linearity and radiation response variability of mini snapshot high spectrometer load on UAV have been studied. At the same time, the correction method of radiation response variability has been studied, and the effectiveness of this method is assessed. The results show that before radiation response variability correction, there are the obvious vignetting effect and banding phenomenon on hyperspectral images, the radiation response variability coefficient after correction declines significantly, and the vignetting effect and banding phenomenon obviously decrease. The algorithm of multi-target radiometric calibration has been researched on, and the radiometric calibration accuracy is verified according to comparing the hyperspectral image spectrum calibrated with measured spectrum by ASD spectrometer. The results show that the radiometric calibration effect of multi target radiometric calibration algorithm is better, especially for near infrared band, the reflectance after calibrating is almost same as one measured by ASD spectrometer.

A contour interpolation algorithm based on Fréchet distance

HAO Zhiwei, LI Chengming, YIN Yong, WU Pengda, WU Wei

2019, 0(1):  65-68,74.  doi:10.13474/j.cnki.11-2246.2019.0013

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Contour interpolation is a commonly used method to improve the accuracy of topographic maps,and plays an important role in map synthesis and other fields.In the actual topographic map database,the contour lines have some complete curves and some fracture curves.Existing contour interpolation studies do not consider the processing of such data.For this reason,this paper proposes an interpolation algorithm based on Fréchet distance.Firstly,the calculation method of the contour relationship is proposed.Then the nodes of the contour are evenly encrypted,and the similarity is judged by the Fréchet distance to select the reference contour.Finally,the interpolation is performed according to the “closest point” method.Experiments on actual data in a certain area of Jiangsu province have verified the rationality of the algorithm and have better adaptability and accuracy for the interpolation of the saddle region.

Improved unequal time-interval weight gray model and residual combined correction and its application

XU Gangnian, GAO Quanting, XIE Junhai, WANG Youzhi, WANG Laiyong, WU Junyan

2019, 0(1):  69-74.  doi:10.13474/j.cnki.11-2246.2019.0014

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In order to improve the prediction accuracy of the traditional unequal time-interval gray model (TUTGM), an improved unequal time-interval weight gray model and residual combined correction (IUTWGM-RCC) is proposed. Firstly, the weight distribution coefficient of time interval is introduced into TUTGM. According to the different generation sequence of cumulative and reduction process, four different forecasting models are constructed, and the optimal fitting sequence and prediction value are determined based on similarity criterion. Secondly, the periodic sequence function generated by sine function and harmonic generation is used to correct the residual sequence, which further improves the prediction accuracy of the model. Finally, the settlement of three measuring points of building is predicted. The results show that the prediction accuracy of TUTGM is the highest by introducing the weight distribution coefficient in the reduction process among four different forecasting models. After the residual combined correction, the posterior error ratios are 0.04, 0.11 and 0.05 respectively, and the precision rank is grade 1.

Approach and application of subway shield attitude measurement based on close-range photogrammetry

XU Zhouyang, XIAO Dongsheng

2019, 0(1):  75-78,143.  doi:10.13474/j.cnki.11-2246.2019.0015

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Traditional posture measurement of subway shield has the disadvantage of long operation time, cross operation with the construction line, a large amount of labor, and the unavailability of real-time measurement. In this paper, the method of close-range photogrammetry is used to measure the shield segment posture. The artificial marks are laid on the shield ring to make digital camera shoot, and the flux of light method is used to process data solution for shot pictures. Finally, the coordinate of the shield ring's center point is determined based on the space three-point determination of the circle center after getting the coordinate of the signalized point. The experimental results show that the error of the traditional measurement method is within 3 cm, which can completely meet the measurement accuracy requirement of the shield segment's posture, with good promotion value and economic benefits.

Design and realization of tourism GIS system based on mobile AR+VR

JING Shengyuan, HAN Yong, MENG Xuewen, JIANG Liangkui, LIN Lan, CHEN Ge

2019, 0(1):  79-84.  doi:10.13474/j.cnki.11-2246.2019.0016

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With the development of technologies such as cloud computing, Internet of things, mobile communications and mobile Internet, developing an intelligent, multidimensional and comprehensive tourism management information system has become a trend in tourism informatization. In this thesis, taking the “Badaguan” in Qingdao as an example,using the integration of tracking registration technology based on location and multi-sensor, tile map technology, 3D landscape maps technology and virtual reality superposition technology of mobile augmented reality system, a tourism-oriented mobile, informational, intelligent and personalized smart travel service system is studied and realized. This system provides a new perspective for tourists to recognize the surrounding landscapes and to obtain a new interactive experience. The system includes functional modules such as 3D landscape map, virtual tour, route navigation, environment identification, historical building inquiry, thermodynamic diagram, friend footprint, personal track, WeChat sharing, etc. Tourists can get more intelligent and convenient services while enjoying the journey.

The research and application of quantum particle swarm BP neural network in GNSS elevation transformation

HAN Hongchao

2019, 0(1):  85-88.  doi:10.13474/j.cnki.11-2246.2019.0017

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In this paper, a GNSS elevation transformation method based on quantum particle swarm neural network (QPSO-BP) model is proposed. By establishing the three level QPSO-BP mathematical model between GNSS point plane coordinates and normal height, the GNSS elevation transformation is realized. The experimental results show that the method has high global search ability, strong robustness, high fitting and prediction accuracy. This method has good effectiveness and advancement in GNSS elevation transformation.

Application research of regional CORS in PM_2.5 monitoring

LI Jianwu, HAI Lianyang, MA Yuanxin, WANG Tengjun, SONG Huichuan

2019, 0(1):  89-92.  doi:10.13474/j.cnki.11-2246.2019.0018

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There is a certain correlation between precipitable water vapor PWV and atmospheric pollutant PM_2.5 in the frequent occurrence of haze. In view of this, the correlation between GNSS atmospheric precipitable water and PM_2.5 in Henan area CORS was analyzed and a real-time monitoring model was established. The experimental study found that there is a strong positive correlation between the atmospheric precipitable water vapor PWV and PM_2.5 during the frequent haze episodes in Henan, and the established real-time monitoring model of PM_2.5 verifies that it can be based on atmospheric precipitable water PWV. Real-time monitoring of PM_2.5, and achieved a more satisfactory result, this technology method has a high application value, can provide a new reference for the current PM_2.5 monitoring.

Study on the variation characteristics of GPS/PWV during the typhoon “Maria” landing in Fujian

CHEN Mingdong

2019, 0(1):  93-96,137.  doi:10.13474/j.cnki.11-2246.2019.0019

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Precipitable water vapor (PWV) is used to characterize the water vapor content in the atmosphere. This paper utilizes GPS observation data of Fujian continuously operating reference station (FJCORS) to obtain the precipitable water vapor (GPS/PWV). Comparing with the PWV obtained from high-precision sounding observation data, it shows that the correlation coefficient is 0.98, which means GPS/PWV has good consistency with sounding results. Meanwhile, the average deviation is less than 1.10 mm, indicating that GPS/PWV data has high precision. On the basis of the above, the variation characteristics of GPS/PWV of the No. 8 typhoon Marlia before and after landing in Fujian in 2018 and the relationship with actual precipitation are analyzed. The results show that GPS/PWV data can well reflect the spatiotemporal dynamic transmission process of water vapor during typhoon and has a good correspondence with precipitation.

Land use change detection capability analysis with “ZY-1” 02C data

ZHOU Yi, LÜ Cong, WANG Huimin

2019, 0(1):  97-100.  doi:10.13474/j.cnki.11-2246.2019.0020

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On December 22, 2011, China launched the “ZY-1” 02C satellite successfully. “ZY-1” 02C satellite is a high resolution remote sensing data to fill the domestic blank satellite. And it is the first domestic high resolution satellite services based on the land resources the main business demand. This paper took “ZY-1” 02C in-orbit test data in the test area of Jilin and Zhejiang province as an example, carried out experiments on the method of land use change detection capability with “ZY-1” 02C fusion images. According to the results of change detection experiments in test areas, we carried out experiment, analysis and evaluation of land use dynamic remote sensing monitoring change detection capability with "“ZY-1” 02C data.

Study and application on thinning algorithm of airborne LiDAR data in plain area

YANG Mingjun, SU Chunmei, KANG Bingfeng, ZHANG Xun, CAO Diancai

2019, 0(1):  101-107.  doi:10.13474/j.cnki.11-2246.2019.0021

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At present, there are still many bottlenecks in the application of airborne LiDAR point cloud data in the surveying and mapping industry. In order to make airborne LiDAR point cloud data better serve the production of equivalent data, and give play to its advantages of high efficiency and high precision. In this paper, we summarize the existing algorithm of cloud data thinning in LiDAR at home and abroad, and analyze the advantages and disadvantages of the existing algorithm, such as system thinning, grid thinning, TIN thinning and slope thinning. Based on the application of laser point cloud in actual production in plain area, the method of thinning data more suitable for plain area is studied. Through a lot of data testing and trial production, the results show that this method can guarantee data quality under the constraints of application project accuracy. It reduces the difficulty of late data processing, improves the quality of the follow-up data, and improves the efficiency of the operation. It has a very important practical significance for the application and promotion of airborne Lidar cloud data in the surveying and mapping industry.

Monitoring ground subsidence in southwestern Shandong based on SBAS technology

WU Limei, JIN Lihua, JI Wanyue

2019, 0(1):  108-113.  doi:10.13474/j.cnki.11-2246.2019.0022

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In this paper, we use the Sentinel-1 radar image of 14 scenes from August 2016 to August 2017, and use the small baseline set (SBAS) technique to extract ground subsidence information in the southwest of Shandong Province. Combined with special data such as roads and railways, settlement impact analysis is carried out. The results show that the ground subsidence is serious and covers a large area in the southwest of Shandong Province. The largest settlement funnel is located in the main urban area of Yancheng County, with a settlement rate of -134.06 mm/a. At the same time, ground subsidence has a certain impact on the railway, especially the larger impact on the highway. We compare with level data to verify the accuracy and timeliness of SBAS technology for settlement monitoring.

Hierarchical spatial modeling of county GDP in Shandong province based on NPP-VIIRS data

LIU Zhaohui, LIU Lin, ZOU Jian

2019, 0(1):  114-117,122.  doi:10.13474/j.cnki.11-2246.2019.0023

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Because of the traditional statistical methods, the time consuming and energy consuming spending on statistical the gross domestic product (GDP) is large. The night lighting remote sensing images can react directly to human social activities and provide a new way of thinking and technical support for the study of social economy. This paper takes Shandong Province as the research area, uses the NPP-VIIRS light image data and the GDP data of 137 counties in Shandong Province to establish many kinds of spatial relation models in order to find the optimal law of the spatial distribution of the two places. The experimental results show that the total GDP and the brightness of the total lighting are all about 0.9 at all levels of the goodness of fit R². The unit area GDP and the average lamplight brightness value are all about 0.85 at all levels of the goodness of fit R².The prediction accuracy of GDP at county level and city level by the optimal model is better than that of the unclassified one.

Online dynamic map service framework research based on WebGL

MA Jiongyu, LI Ping, ZHOU Qi, LI Weiqing

2019, 0(1):  118-122.  doi:10.13474/j.cnki.11-2246.2019.0024

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Strong interactive features, flexible mapping process, complex and diverse data, and wide audiences for online dynamic maps,This paper designs an online dynamic map service architecture based on WebGL technology.This architecture defines the online map data model for massive vector data, defines the storage structure of the online map slice, and makes full use of the computer hardware acceleration capability to achieve rapid visualization and dynamic update of massive vector slice data.To test the feasibility of the method, this framework was used to develop a “multi-information geographic information service platform” in a county, The results show that the framework improves the practicality and operability of the online dynamic map platform and provides reliable theoretical and technical support for online dynamic map services.

Design and implementation of smart city planning cloud platform

ZHANG Fangfang, SHEN Shaoqing, CHEN Xueye, XU Dezheng, ZHANG Yuqian

2019, 0(1):  123-126.  doi:10.13474/j.cnki.11-2246.2019.0025

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Under the background of new ubanization, the construction of planning informatization has become an important means to promote the transformation and development of the planning. With the rapid development of the new generation of information technology, the new generation of planning informatization infrastructure, Smart City Planning Cloud Platform, will become an important content of future planning informatization construction. This paper designs the architecture of the Smart City Planning Cloud Platform from three aspects:overall structure, business process and function designing to provide a reference for planning informatization construction and related software development.

Research and application of big data information platform for geological disaster monitoring

HE Wei, ZHANG Lunning, HE Chengcheng, LIANG Xiao, SONG Liankai

2019, 0(1):  127-131.  doi:10.13474/j.cnki.11-2246.2019.0026

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This study mainly focuses on resolutions to geographical disasters monitoring. In the current project, navigation satellite receivers and multi-source sensors are applied, which include functional units such as choke ring antenna, GNSS receiver, MEMS sensors, environmental measurement units, lighting protection areas units, and other relevant units. Big data information platforms are also built. On the basis of these efforts, a highly automated monitoring has been realized, especially with all-directional monitoring. Following the steps of building big data platforms for geographical disasters monitoring, dealing with fundamental techniques to the platforms, making softwares to be able to detect data, we have completed the early warning application network system HCmonitor for GNSS real-time monitoring. With the application of various methods, the disaster monitoring system has been improved. The project has provided new ideas and practical solutions to the early warning work, which have been applied and promoted to the post-disaster reconstruction in Zhouqu, Gansu province.

Design and implementation of surveying and mapping training management platform based on Internet of things and cloud technology

ZHENG Kuo, LI Changqing, BO Zhiyi, CUI Youzhen, ZHENG Huihuan

2019, 0(1):  132-137.  doi:10.13474/j.cnki.11-2246.2019.0027

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The surveying and mapping training management platform is aimed at the surveying and mapping professional training courses, based on the mobile Internet and the Internet of things environment, and builds a practical teaching support platform for mobile teaching environment and independent learning services. The platform is centered on the planning, organization, implementation and supervision of the surveying and mapping professional training tasks. It covers the integration, sharing and distribution of various forms of training resources, and real-time reading of surveying and mapping equipment data. The training tasks can be managed, quantifiable and evaluable. It can help the teachers to continuously improve the teaching methods of the training courses, optimize the teaching process, improve the teaching effect and reduce the labor intensity. This paper first analyzes the current status of practical training in higher vocational colleges, and introduces the technical characteristics of the teaching in the era of mobile Internet, and then introduces the design ideas and implementation methods of the surveying and mapping training platform. The design and research of the platform also have reference significance for the application of mobile internet and cloud technology in actual production.

The construction of surveying and mapping results service platform for “once at most” reform and its key technologies

LI Fanglin, SHEN Zhengzhong, ZENG Wenhua, ZENG Canying

2019, 0(1):  138-143.  doi:10.13474/j.cnki.11-2246.2019.0028

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During approving “the use of national secrets based on surveying and mapping results”, the process involves various sectors and staff, and multiple attending, verifying and filling resulted from problems like the authenticity of users' information, the authority of materials, etc. This paper introduces the construction of departmental data warehouse during the construction of surveying and mapping service platform, the “standard + application” metadata management strategy and key technologies such as the QR code-based cross-network information transmission. The application results show that the research on the technologies above can better solve the problems of delay, low-efficiency, traceability and authority of electronic materials such as licenses and certificates, and can support the “one stop” results service and approval distribution of provincial, city and county levels, which is also in line with the “once at most” reform requirements and beneficial to the studies of similar issues.

Design and implementation of online housing safety monitoring system based on refined management

WANG Xiaodong, FAN Jing

2019, 0(1):  144-148.  doi:10.13474/j.cnki.11-2246.2019.0029

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With the advancement of China's urbanization process,existing houses are gradually aging,resulting in occasionally happened building safety issues. This paper analyzes the factors affecting housing safety and determines the content of housing safety monitoring. Based on the Internet of things technology, the overall architecture design of the system is carried out, and the design and implementation are implemented on hardware, database and function. The system can monitor the safety status of the house in real time and carry out dangerous danger alarms. The application of the system will improve the level of housing safety management and achieve refined and intelligent housing management.

Research on collaborative planning information resource platform based on intelligent planning

LI Dongliang, CHEN Hang

2019, 0(1):  149-154.  doi:10.13474/j.cnki.11-2246.2019.0030

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The rapid development of new technologies has constantly changed the application scenarios and patterns of planning information. The urban planning needs to carry out informatization reform in many aspects, such as working modes, technical means and organization methods, in order to meet the requirements of urbanization transformation. Combined with the informatization practices of Guangzhou in the overall planning, this study discussed about the intelligent planning and analyzed the impacts of big data on the planning methods. An information synergy solution of spatio-temporal information aggregation, real-time convergence and smart sharing mechanism was proposed. This solution attributed to the vertical and horizontal cooperation among planners and departments, the close connection of different levels of planning and the collection of multi-source and multi-stage working results, which further contributed to the construction of resource pool of planning information.

The construction and consideration of emergency surveying and mapping service ability in Shanxi province

KONG Lingli, YANG Aimin, CHEN Feng

2019, 0(1):  155-158,164.  doi:10.13474/j.cnki.11-2246.2019.0031

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This paper expounds the current situation of emergency surveying and mapping service capabilities from data collection,frontline survey,data resources,network environment and geographic information service,analyzes the existing problems,and expounds four major aspects of emergency surveying and mapping service ability consideration in Shanxi Province.This paper has a reference value for improving the work of emergency support of surveying and mapping service in Shanxi Province.

Spatial thinking training for undergraduate majoring in GIScience in the context of new media

REN Fu, TANG Xu, HU Shiyuan, WANG Kun

2019, 0(1):  159-164.  doi:10.13474/j.cnki.11-2246.2019.0032

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Spatial thinking is a basic thinking model for cognitive learning and research in geographical science. To meet the needs of cultivating high-quality talents majoring in GIScience in the context of new media, we designed targeted teaching contents for training spatial literacy of students from four aspects of experiencing simulated geographic space, mapping and interpreting spatial information, abstracting metaphor information by semantic cognition, and analyzing geographical system comprehensively. Application directions of spatial thinking for deep processing and utilizing new media information were also expounded, which include information perception and classification, hidden information mining, visualization of information expression, industry services supporting, and decision making for spatial governance. It would help undergraduate students to make full use of the learning tools of new media and systematize specialist knowledge system for higher-level spatial literacy. This study is a beneficial exploration for undergraduate teaching of geographic information science.