Research on Construction of Visual Platform of Beijing Power Grid Based on Multi-Technology Fusion

2014 ◽  
Vol 608-609 ◽  
pp. 928-932
Author(s):  
Dong Ya Jin
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Power Distribution ◽  
Spatial Information ◽  
Power Transmission ◽  
Power Grid ◽  
Three Dimensional ◽  
Visual Display ◽  
Decision Makers ◽  
Control Measures

The platform uses three-dimensional data modeling, visual simulation and spatial data storage to make the business of regulation center, operation and maintenance center and marketing and management center of Beijing Power grid implement visualized operation, and load the spatial information data, equipment data and operation data of Beijing power grid into the system platform, and the data is displayed with the form of graphic or image, which not only realizes managing space resource data in real three-dimensional scene, but also make the system operator to know the operation state of the system directly, and makes the control measures more effective. And the paper uses virtual reality technology to establish visual scene of ground to realize integrated visual display of power transformation, power transmission and power distribution, which not only makes the producers, managers and decision makers directly master the situation of production line in power station, but also realizes that producers and managers affiliate decision makers to formulate production plan.

scholarly journals Towards an Underground Utilities 3D Data Model for Land Administration

2019 ◽  
Vol 11 (17) ◽  
pp. 1957 ◽  
Author(s):  
Jingya Yan ◽  
Siow Jaw ◽  
Kean Soon ◽  
Andreas Wieser ◽  
Gerhard Schrotter
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Urban Areas ◽  
Spatial Information ◽  
Three Dimensional ◽  
Data Governance ◽  
Land Administration ◽  
3D Data ◽  
Underground Utilities ◽  
2D Data

With the pressure of the increasing density of urban areas, some public infrastructures are moving to the underground to free up space above, such as utility lines, rail lines and roads. In the big data era, the three-dimensional (3D) data can be beneficial to understand the complex urban area. Comparing to spatial data and information of the above ground, we lack the precise and detailed information about underground infrastructures, such as the spatial information of underground infrastructure, the ownership of underground objects and the interdependence of infrastructures in the above and below ground. How can we map reliable 3D underground utility networks and use them in the land administration? First, to explain the importance of this work and find a possible solution, this paper observes the current issues of the existing underground utility database in Singapore. A framework for utility data governance is proposed to manage the work process from the underground utility data capture to data usage. This is the backbone to support the coordination of different roles in the utility data governance and usage. Then, an initial design of the 3D underground utility data model is introduced to describe the 3D geometric and spatial information about underground utility data and connect it to the cadastral parcel for land administration. In the case study, the newly collected data from mobile Ground Penetrating Radar is integrated with the existing utility data for 3D modelling. It is expected to explore the integration of new collected 3D data, the existing 2D data and cadastral information for land administration of underground utilities.

Management of Recreational Areas: GIS, Autonomous Agents, and Virtual Reality

10.1068/b2637 ◽  
2000 ◽  
Vol 27 (3) ◽  
pp. 423-435 ◽  
Author(s):  
I D Bishop ◽  
H R Gimblett
Keyword(s):  
Virtual Reality ◽  
Data Storage ◽  
Spatial Data ◽  
Autonomous Agents ◽  
Spatial Information ◽  
Spatial Modelling ◽  
Sufficient Information ◽  
Management Options ◽  
Individual Agent ◽  
Spatial Information Systems

Management of recreational activity in areas that are culturally or ecologically sensitive requires knowledge, and effective management, of recreationists' behaviour. In this paper we explore the role of spatial information systems, spatial modelling, and virtual reality in the analysis and prediction of visitor location and movement patterns. The quantitative modelling of the time spent by visitors on various aspects of the site attractions and of visitor conflict has not been widely attempted, having only recently become possible because of greater computer power, better spatial data storage options, and new modelling paradigms. Rule-driven autonomous agents can be used as surrogates for human visitors. Behavioural rules can be derived and calibrated from visitor surveys. This is, however, an expensive and time-consuming process and testing of people's decisions in a virtual environment may provide sufficient information for rule definition. Once a rule-set is determined, the autonomous agents move over a GIS-based model of the landscape. Rendering algorithms determine what an individual agent is able to “see”. Based on the established rules, this and other factors (such as tiredness) determine behavioural choice. Recording of model runs to file allows managers to undertake additional analysis to quantify and explore the influence of alternative management options on recreationist movement, congestion, and crowding. Through the GIS, impacts such as erosion can also be modelled. In the longer term the combined models can become part of a decision support system for sustainable tourism in fragile environments.

scholarly journals Development of framework for aggregation and visualization of three-dimensional (3D) spatial data

2021 ◽  
Author(s):  
Mihal Miu ◽  
Xiaokun Zhang ◽  
M. Ali Akber Dewan ◽  
Junye Wang
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geospatial Data ◽  
Third Party ◽  
Data Sources ◽  
Multidimensional Data ◽  
Multiple Sources ◽  
Geospatial Information

Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utilizing the available geospatial information. These disparate data sources must be aggregated before further extraction and analysis may be performed. The objective of this paper is to develop a framework called PlaniSphere, which aggregates various geospatial datasets, synthesizes raw data, and allows for third party customizations of the software. PlaniSphere uses NASA World Wind to access remote data and map servers using Web Map Service (WMS) as the underlying protocol that supports service-oriented architecture (SOA). The results show that PlaniSphere can aggregate and parses files that reside in local storage and conforms to the following formats: GeoTIFF, ESRI shape files, and KML. Spatial data retrieved using WMS from the Internet can create geospatial data sets (map data) from multiple sources, regardless of who the data providers are. The plug-in function of this framework can be expanded for wider uses, such as aggregating and fusing geospatial data from different data sources, by providing customizations to serve future uses, which the capacity of the commercial ESRI ArcGIS software is limited to add libraries and tools due to its closed-source architectures and proprietary data structures. Analysis and increasing availability of geo-referenced data may provide an effective way to manage spatial information by using large-scale storage, multidimensional data management, and Online Analytical Processing (OLAP) capabilities in one system.

scholarly journals Big LIDAR Data in Digital Earth: Ways Out of Dead End

2020 ◽  
pp. paper46-1-paper46-10
Author(s):  
Ilya Rylskiy
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Laser Scanning ◽  
Three Dimensional ◽  
Alternative Methods ◽  
Measuring Instruments ◽  
Lidar Data ◽  
Data Sets ◽  
Spatial Data Sets ◽  
Limited Precision

During past 25 years, laser scanning has evolved from an experimental method into a fully autonomous family of Earth remote sensing methods. Now this group of methods provides the most accurate and detailed spatial data sets, while the cost of data is constantly falling, the number of measuring instruments (laser scanners) is constantly growing. The volumes of data that will be obtained during the surveys in the coming decades will allow the creation of the first sub-global coverage of the planet. However, the flip side of high accuracy and detail is the need to store fantastically large volumes of three-dimensional data without loss of accuracy. At the same time, the ability to work with the specified data in both 2D and 3D mode should be improved. Standard storage methods (file method, geodatabases, archiving, etc) solve the problem only partially. At the same time, there are some other alternative methods that can remove current restrictions and lead to the emergence of more flexible and functional spatial data infrastructures. One of the most flexible and promising ways of laser data storage and processing are quadtree and octree-based approaches. Of course, these approaches are more complicated than typical file data structures, that are commonly used for LIDAR data storage, but they allow users to solve some typical negative features of point datasets (processing speed, non-topological spatial structure, limited precision, etc.).

scholarly journals Power Distribution Network Based on Digital 3D Twin Panoramic Modeling

2020 ◽  
Vol 204 ◽  
pp. 02005
Author(s):  
Zhan Chao ◽  
Luo Yizhao ◽  
Li Ronggui ◽  
Gao Jun ◽  
Zhang Mi
Keyword(s):  
Power Distribution ◽  
Power Grid ◽  
Distribution Network ◽  
Three Dimensional ◽  
Current Method ◽  
Virtual Space ◽  
Power Distribution Network ◽  
Digital Twins ◽  
Average Current ◽  
Line Loss

Digital twins refer to virtual digital expressions constructed in virtual space that can characterize characteristics, the formation process and behavior of natural entities, and it has the characteristics of multi-physics, multi-scale and probability. This article mainly introduces the application research of digital 3D twin panorama modeling in power distribution network. This paper proposes the average current method to calculate the line loss of the power distribution network, so that the accuracy is guaranteed. In addition, the digital three-dimensional panoramic modeling method is used to optimize the grid system, and the data structure is used to calculate the power distribution network. Analyze the topological structure of the power grid, and then obtain the calculation method of the distribution network line loss. The experimental results in this paper show that the rendering efficiency of power grid results has increased by 17% based on the digital 3D twin panorama modeling, and the method and algorithm for matching video and panorama image are proposed, which solves the problem of video rotation angle on the panorama connection, so that The smoothness of panoramic roaming is improved by 23%.

Integration of Spatial Point Features with Linear Referencing Methods

2003 ◽  
Vol 1836 (1) ◽  
pp. 102-110 ◽  
Author(s):  
Shauna L. Hallmark ◽  
William G. Schuman ◽  
Steven W. Kadolph ◽  
Reginald Souleyrette
Keyword(s):  
Data Storage ◽  
Spatial Data ◽  
Three Dimensional ◽  
Cost Effective ◽  
Accurate Method ◽  
Global Positioning ◽  
Lateral Offset ◽  
Departments Of Transportation ◽  
Transportation Agencies ◽  
Offset Error

The Global Positioning System (GPS) offers a cost-effective and accurate method for inputting, updating, and analyzing spatial data. However, many data-storage and reporting methods at state departments of transportation and other transportation agencies rely on linear referencing methods (LRMs) for managing transportation data. Consequently, GPS data must be able to coexist with linear referencing systems (LRSs). Unfortunately, the two systems are fundamentally different in the way they collect, integrate, and manipulate data. For spatial data collected with GPS to be integrated into an LRS or shared among LRMs, several issues must be addressed. Various issues are discussed for integrating point features from a typical inventory system with an LRM or between LRMs, including two- or three-dimensional GPS to one-dimensional LRM, linear offset error, lateral offset error, matching to the wrong segment, and locating points between LRMs.

Generating 3D Depiction for a Future ECDIS Based on Digital Earth

2014 ◽  
Vol 67 (6) ◽  
pp. 1049-1068 ◽  
Author(s):  
Tao Liu ◽  
Depeng Zhao ◽  
Mingyang Pan
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
3D Visualization ◽  
Three Dimensional ◽  
Data Service ◽  
Construction Technology ◽  
Unified Framework ◽  
Human Errors ◽  
Web Based ◽  
Electronic Chart

An Electronic Navigational Chart (ENC) is a two-dimensional abstraction and generalisation of the real world and it limits users' ability to obtain more real and rich spatial information of the navigation environment. However, a three-dimensional (3D) chart could dramatically reduce the number of human errors and improve the accuracy and efficiency of manoeuvring. Thus it is important to be able to visualize charts in 3D. This article proposes a new model for future Electronic Chart Display and Information Systems (ECDIS) and describes our approach for the construction of web-based multi-resolution future ECDIS implemented in our system Automotive Intelligent Chart (AIC) 3D ECDIS, including multi-resolution riverbed construction technology, multi-layer technology for data fusion, Mercator transformation of the model, rendering and web publishing methods. AIC 3D ECDIS can support global spatial data and 3D visualization, which merges the 2D vector electronic navigational chart with the three-dimensional navigation environment in a unified framework and interface, and is also published on the web to provide application and data service through the network.

Implementation of Urban 3D Geographic Information System

2014 ◽  
Vol 926-930 ◽  
pp. 721-724
Author(s):  
Zhao Zhong Gao ◽  
Hai Xia Wei
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Urban Planning ◽  
Information Management ◽  
Spatial Data ◽  
Spatial Information ◽  
Three Dimensional ◽  
Geographic Information ◽  
Urban Construction ◽  
Depth Analysis

With the digital development of city construction, the construction of three-dimensional Geographic Information System plays an important role for the urban construction planning and decision-making. 3D urban planning geographic information management systems need to be able to put different spatial data, information of urban construction, urban planning information into the same platform. The integration of information resources whick provids a variety of spatial information based on the intelligent application services is the core. This article puts urban planning geographic information management related to business needs in-depth analysis, and put forward a three-dimensional geographic information model which is used for integrated management of data and can be dynamically adjusted for urban planning and management of business processes.

scholarly journals Developing UAV-Based Forest Spatial Information and Evaluation Technology for Efficient Forest Management

2020 ◽  
Vol 12 (23) ◽  
pp. 10150
Author(s):  
Yongyan Zhu ◽  
Seongwoo Jeon ◽  
Hyunchan Sung ◽  
Yoonji Kim ◽  
Chiyoung Park ◽  
...  
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Layer Structure ◽  
Vegetation Type ◽  
Control Point ◽  
Forest Policy ◽  
Three Dimensional ◽  
Geospatial Information ◽  
Kappa Value ◽  
National Forest Planning

Forest spatial information is regularly established and managed as basic data for national forest planning and forest policy establishment. Among them, the grade of vegetation conservation shall be investigated and evaluated according to the value of vegetation conservation. As the collection of field data over large or remote areas is difficult, unmanned aerial vehicles (UAVs) are increasingly being used for this purpose. Consequently, there is a need for research on UAV-monitoring and three-dimensional (3D) image generation techniques. In this study, a new method that can efficiently collect and analyze UAV spatial data to survey and assess forests was developed. Both UAV-based and LiDAR imaging methods were evaluated in conjunction with the ground control point measurement method for forest surveys. In addition, by fusing the field survey database of each target site and the UAV optical and LiDAR images, the Gongju, Samcheok, and Seogwipo regions were analyzed based on deep learning. The kappa value showed 0.59, 0.47, and 0.78 accuracy for each of the sites in terms of vegetation type (artificial or natural), and 0.68, 0.53, and 0.62 accuracy in terms of vegetation layer structure. The results of comparative analysis with ecological natural maps by establishing vegetation conservation levels show that about 83.9% of the areas are consistent. The findings verified the applicability of this UAV-based approach for the construction of geospatial information on forests. The proposed method can be useful for improving the efficiency of the Vegetation Conservation Classification system and for conducting high-resolution monitoring in forests worldwide.

scholarly journals Obstacle-Aware Indoor Pathfinding Using Point Clouds

2019 ◽  
Vol 8 (5) ◽  
pp. 233 ◽  
Author(s):  
Lucía Díaz-Vilariño ◽  
Pawel Boguslawski ◽  
Kourosh Khoshelham ◽  
Henrique Lorenzo
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Three Dimensional ◽  
Point Clouds ◽  
3D Models ◽  
Indoor Environments ◽  
Aged People ◽  
Emergency Assistance ◽  
Indoor Scenes ◽  
Mobility Skills

With the rise of urban population, updated spatial information of indoor environments is needed in a growing number of applications. Navigational assistance for disabled or aged people, guidance for robots, augmented reality for gaming, and tourism or training emergency assistance units are just a few examples of the emerging applications requiring real three-dimensional (3D) spatial data of indoor scenes. This work proposes the use of point clouds for obstacle-aware indoor pathfinding. Point clouds are firstly used for reconstructing semantically rich 3D models of building structural elements in order to extract initial navigational information. Potential obstacles to navigation are classified in the point cloud and directly used to correct the path according to the mobility skills of different users. The methodology is tested in several real case studies for wheelchair and ordinary users. Experiments show that, after several iterations, paths are readapted to avoid obstacles.

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