Large-scale spatial data visualization method based on augmented reality

Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules.

Unified Platform About Information Issuing,Integration and Management of Meta-Database and Spatial-Database Based on Geology Metadata Standard

With the deepening informationization of Resources & Environment Remote Sensing geological survey conducted,some potential problems and deficiency are:(1) shortage of unified-planed running environment;(2) inconsistent methods of data integration;and(3) disadvantages of different performing ways of data integration.This paper solves the above problems through overall planning and design,constructs unified running environment, consistent methods of data integration and system structure in order to advance the informationization

The 8×10 GHz Receiver Optical Subassembly Based on Silica Hybrid Integration Technology for Data Center Interconnection

An 8×10 GHz receiver optical sub-assembly （ROSA） consisting of an 8-channel arrayed waveguide grating （AWG） and an 8-channel PIN photodetector （PD） array is designed and fabricated based on silica hybrid integration technology. Multimode output waveguides in the silica AWG with 2% refractive index difference are used to obtain fiat-top spectra. The output waveguide facet is polished to 45° bevel to change the light propagation direction into the mesa-type PIN PD, which simplifies the packaging process. The experimentM results show that the single channel I dB bandwidth of AWG ranges from 2.12nm to 3.06nm, the ROSA responsivity ranges from 0.097 A/W to 0.158A/W, and the 3dB bandwidth is up to 11 GHz. It is promising to be applied in the eight-lane WDM transmission system in data center interconnection.

Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration

Technical and accessibility issues in hospitals often prevent patients from receiving optimal mental and physical health care,which is essential for independent living,especially as societies age and chronic diseases like diabetes and cardiovascular disease become more common.Recent advances in the Internet of Things(IoT)-enabled wearable devices offer potential solutions for remote health monitoring and everyday activity recognition,gaining significant attention in personalized healthcare.This paper comprehensively reviews wearable healthcare technology integrated with the IoT for continuous vital sign monitoring.Relevant papers were extracted and analyzed using a systematic numerical review method,covering various aspects such as sports monitoring,disease detection,patient monitoring,and medical diagnosis.The review highlights the transformative impact of IoTenabled wearable devices in healthcare,facilitating real-time monitoring of vital signs,including blood pressure,temperature,oxygen levels,and heart rate.Results from the reviewed papers demonstrate high accuracy and efficiency in predicting health conditions,improving sports performance,enhancing patient care,and diagnosing diseases.The integration of IoT in wearable healthcare devices enables remote patient monitoring,personalized care,and efficient data transmission,ultimately transcending traditional boundaries of healthcare and leading to better patient outcomes.

Integration of Geological, Geophysical and Seismological Data for Seismic Hazard Assessment Using Spatial Matching Index

Probabilistic seismic hazard assessment (PSHA) takes into account as much data as possible for defining the initial seismic source zone model. In response to this, an algorithm has been developed for integration of geological, geophysical and seismological data through a spatial index showing the presence or absence of a potential seismic source feature in the input data. The spatial matching index (SMI) is calculated to define the coincidence of independent data showing any indications for existence of a fault structure. It is applied for hazard assessment of Bulgaria through quantification of the seismic potential of 416 square blocks, 20 × 20 km in size covering the entire territory of Bulgaria and extended by 20 km outside of the country borders. All operations are carried out in GIS environment using its capabilities to work with different types of georeferenced spatial data. Results show that the highest seismic potential (largest SMI) is observed in 56 block elements (13% of the territory) clearly delineating cores of the source zones. Partial match is registered in 98 block elements when one of the features is missing. Not any evidence for earthquake occurrence is predicted by our calculation in 117 elements, comprising 28% of the examined area. The quantitative parameter for spatial data integration which is obtained in the present research may be used to analyze information regardless of its type and purpose.

Full feature data model for spatial information network integration

In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vector-raster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid, were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.

A Semantic-Sensitive Approach to Indoor and Outdoor 3D Data Organization

Building model data organization is often programmed to solve a specific problem,resulting in the inability to organize indoor and outdoor 3D scenes in an integrated manner.In this paper,existing building spatial data models are studied,and the characteristics of building information modeling standards(IFC),city geographic modeling language(CityGML),indoor modeling language(IndoorGML),and other models are compared and analyzed.CityGML and IndoorGML models face challenges in satisfying diverse application scenarios and requirements due to limitations in their expression capabilities.It is proposed to combine the semantic information of the model objects to effectively partition and organize the indoor and outdoor spatial 3D model data and to construct the indoor and outdoor data organization mechanism of“chunk-layer-subobject-entrances-area-detail object.”This method is verified by proposing a 3D data organization method for indoor and outdoor space and constructing a 3D visualization system based on it.

Distributed Air &Missile Defense with Spatial Grasp Technology

A high-level technology is revealed that can effectively convert any distributed system into a globally programmable machine capable of operating without central resources and self-recovering from indiscriminate damages. Integral mission scenarios in Distributed Scenario Language (DSL) can be injected from any point, runtime covering & grasping the whole system or its parts, setting operational infrastructures, and orienting local and global behavior in the way needed. Many operational scenarios can be simultaneously injected into this spatial machine from different points, cooperating or competing over the shared distributed knowledge as overlapping fields of solutions. Distributed DSL interpreter organization and benefits of using this technology for integrated air and missile defense are discussed along with programming examples in this and other fields.

THE INTEGRATED SPATIAL DATABASES OF GEOSTAR

GeoStar is the registered trademark of GIS software made by WTUSM in China.By means of the GeoStar,multi_scale images,DEMs,graphics and attributes integrated in very large seamless databases can be created,and the multi_dimensional dynamic visualization and information extraction are also available.This paper describes the fundamental characteristics of such huge integrated databases,for instance,the data models,database structures and the spatial index strategies.At last,the typical applications of GeoStar for a few pilot projects like the Shanghai CyberCity and the Guangdong provincial spatial data infrastructure (SDI) are illustrated and several concluding remarks are stressed.

DATABASE STRUCTURE FOR THE INTEGRATION OF RS WITH GIS BASED ON SEMANTIC NETWORK

The integration of remote sensing (RS) with geographical information system (GIS) is a hotspot in geographical information science.A good database structure is important to the integration of RS with GIS,which should be beneficial to the complete integration of RS with GIS,able to deal with the disagreement between the resolution of remote sensing images and the precision of GIS data,and also helpful to the knowledge discovery and exploitation.In this paper,the database structure storing the spatial data based on semantic network is presented.This database structure has several advantages.Firstly,the spatial data is stored as raster data with space index,so the image processing can be done directly on the GIS data that is stored hierarchically according to the distinguishing precision.Secondly,the simple objects are aggregated into complex ones.Thirdly,because we use the indexing tree to depict the relationship of aggregation and the indexing pictures expressed by 2_D strings to describe the topology structure of the objects,the concepts of surrounding and region are expressed clearly and the semantic content of the landscape can be illustrated well.All the factors that affect the recognition of the objects are depicted in the factor space,which provides a uniform mathematical frame for the fusion of the semantic and non_semantic information.Lastly,the object node,knowledge node and the indexing node are integrated into one node.This feature enhances the ability of system in knowledge expressing,intelligent inference and association.The application shows that this database structure can benefit the interpretation of remote sensing image with the information of GIS.

基于Spatial OLAP的城市交通综合管理系统设计与实现

空间联机分析处理技术将GIS与联机分析处理技术OLAP相结合,提供在空间维度上进行不同尺度钻取的解决方案——SOLAP。该文基于SOLAP技术,构建一个城市交通的综合管理系统,并在电子地图上展示不同区域、路段、时段的交通流信息,为交通管理者进行决策提供技术支持。

笔谈:数字化为文明赋彩——文物和文化遗产数字技术应用现状与实践路径

数字技术在文化遗产领域的应用已从最初的信息储存和传输,发展到数据处理分析,进而进化到今天的自动化和智能化处理与展示,在文化遗产研究、记录、保护、利用等方面起到了至关重要的作用。当前,我国基本形成覆盖文物保护工作全链条的数字化解决方案,并不断创新核心技术与设备,形成通用技术与国际并驾齐驱、特色技术引领国际潮流的发展趋势。数字技术在考古遗址三维空间信息的获取、分析、模拟、研究和展示等全过程中发挥着重要作用,为古代遗址与自然环境之间的人地关系等研究开辟了新的途径。新一代测绘技术,可实现对建成遗产三维数字形式的记录与保存,在精度、纹理、展示分析、交互以及文物古建的数字修复等方面具有不可替代的价值。通过“空间历史大数据”途径,可以打破过往人文学科与空间操作之间的知识鸿沟与技术壁垒,促进文化遗产以体系化技术操作实现“公众化”,通过文化空间实践达成未来城乡高质量发展和历史人文知识存续之间的良性互动。数字化实践在非物质文化遗产保护中的应用范围在不断扩大,已然从保存、宣传扩展到传承、振兴的层面。从全球视野审视数字化这一新兴领域的发展历程和前沿动态,文化遗产数字化面临着建立更完善的数据资源等挑战。

大数据应用技术课程本研一体化教学体系建设

大数据应用技术课程对于数据科学的研究和发展、数据科学学科的建设、培育新型数据人才具有重要意义。本研一体化教学有助于提高本研学生的学习效率和创新能力,增强课程体系的延续性和实践性,重视学科交叉融合发展。从教学大纲修订、教学管理模式改革、教学评价方式三个方面探讨本研一体化教学体系建设的重点问题,全面阐述大数据应用技术课程本研一体化教学改革的路径选择和实践,致力于培养学生长期内驱力和创新能力,为国家和社会发展培育高质量数据人才。

数字经济与实体经济深度融合的微观内涵、发展机理和政策取向

数字经济与实体经济的深度融合是数字技术和数据要素双轮驱动的结果,是从微观企业到中观产业再到宏观社会经济三个层面依次递进的过程。作为数实融合的基本单元,实体企业与外部数字环境的交互联结及其内部数字化转型共同构成了微观层面数实融合的主要内容。以实体企业为研究对象,从数据要素、数字技术和数字环境三个方面明晰数字经济与实体经济深度融合的微观内涵,从实体企业的生产过程、组织管理过程、研发创新过程、绿色发展过程和供应链过程五个维度解析数字经济与实体经济深度融合的微观发展效应。针对效应形成机制和环境制约因素,应加快构建和完善数字经济与实体经济深度融合的基础设施生态、产业生态、创新生态、人才生态和治理生态,以生态系统建设进一步强化数实深度融合的微观发展效应,赋能实体经济高质量发展。

基于GIS技术的区域多尺度空间数据集成方法

区域多尺度空间数据,其量较大,其来源、格式、特点、性质不同,数据在逻辑上或物理上的有机集中比较困难,容易导致集成路径拥塞,集成效率下降。为此,提出了一种基于GIS技术的区域多尺度空间数据集成方法。利用GIS技术搭建区域多尺度空间数据挖掘架构,结合数据转换矩阵构建多尺度空间数据库。根据多尺度空间数据库中拥塞窗口状态集合,采用不同策略对数据集成路径进行拥塞控制,通过确定理想集成效率而选择多尺度空间数据集成路径。计算不同集成路径上空间数据特征向量之间的紧密度,结合相异度阈值和空间数据权重构建数据集成函数,实现区域多尺度空间数据集成。实验结果表明:所给方法在有、无人工干预的情况下,集成延时分别控制在7 min以内和5 min以内,数据集成效率较高。

大数据时代空间信息与数字技术专业建设探讨

面对大数据时代“空间信息与数字技术”专业建设的挑战,如何适应经济社会发展的人才需求,培养兼具“信息技术”+“领域知识”的“空间信息与数字技术”专业的复合型人才,是该专业持续建设需要着重探讨的问题。从创新“3332”人才培养模式、重构“信息技术+领域知识”的课程体系、构建“基础-综合-创新”相结合的实践教学体系三方面对该专业的建设问题进行了探讨,给出了与之对应的专业建设的具体措施、路径与办法,以期为大数据时代“空间信息与数字技术”专业建设和人才培养提供参考,以满足国家战略对该专业高层次复合型人才培养的需求。

中国疾病预防控制中心信息系统整合共享实践分析

目的/意义推进政务信息系统整合共享,以降低政府治理成本,实现治理体系和治理能力现代化。方法/过程以中国疾病预防控制中心信息系统整合共享工作为例,详细阐述整合路径及工作成效,对整合共享的难点和对策展开分析和探讨。结果/结论基于全民健康信息化建设,明确“统筹布局,共建共享”的总体要求,探索以大数据技术为抓手,实现数据的融合与应用,构建数字疾控新发展格局。

长江经济带地质资源环境综合信息管理与服务系统的开发与应用

为了支撑服务长江经济带发展国家战略,中国地质调查局部署实施了“长江经济带地质环境综合调查工程”,并开发了相应的综合信息管理与服务系统。该信息系统具有低耦合和高扩展的特性,能够从数据汇聚、数据管理、数据应用、二三维一体化和信息共享等多个方面提高系统的灵活性和可配置性。系统采用辅助工具+主系统的架构,同时运用数据湖、二三维一体化等新技术,通过封装接口和统一化处理方式对多种数据源进行统一管理和处理,降低了数据之间的依赖关系,从而使系统更加灵活可变,能够更好地应对多变的业务需求,提高数据处理性能和应用效率,进而为决策者提供全面的地质环境信息和决策依据。该系统的建立和完善将为长江经济带的国土空间规划、新型城镇化战略、重大工程规划建设、地质灾害防治和生态文明建设等工作提供重要支撑。

“多元基础、分路径培养”的物流大数据应用型人才培养创新与实践

该文从人才培养模式创新、产教融合提升人才培养质量视角,对大数据本科专业应用型人才培养的多元学科专业基础和培养路径做出分析,进而以物流大数据专业群应用型人才培养为例,通过实施文理文工融合改革思路构建物流大数据复合知识体系,建设“多专业+多课程+多层次+多要求”的大数据实践实训平台、多学科专业融合互促的泛在化教学体系和深化产教研融合,形成多元基础分路径培养的人才培养思路并应用实践。通过物流大数据人才培养改革创新与实践,2021—2023年文理文工融合人才培养模式获得认可,教学成果突出,促进学科专业资源整合,形成“资源-名师-成果”互促上升的发展路径,人才培养质量显著提升,社会认可度提高。

尺度重构视角下经济技术开发区向综合功能新区转型的空间应对——以烟台黄渤海新区为例

鼓励和促进经济技术开发区向综合功能新区转型发展,是经开区空间生产转型的内在需求,也是响应国家对经开区发展定位的重要举措。本文基于尺度重构理论视角,以烟台黄渤海新区为例,总结分析经开区向综合功能新区尺度重构的基本逻辑。研究认为,经开区向综合功能新区转型发展的过程,是一次“尺度上移”的过程,通过赋予更高层级的管理权限,重构区域生产关系、社会关系以及治理关系,形成产业协作有序的功能板块、更高标准的产城格局以及更加扁平化的治理结构。研究发现,烟台黄渤海新区在建设过程中,面临多空间主体及多政策制度并存的治理难题,其空间呈松散发展状态,以及低水平的产城融合特征。据此,文章提出整合港产功能板块、调整产城关系以及实施渐进性治理机制的治理策略,推动新区高质量发展,打造带动区域经济高质量发展的重要增长极。