Chaoling Li

A Geospatial Information Grid Framework for Geological Survey.

The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper.

A Knowledge-Driven Geospatially Enabled Framework for Geological Big Data

Geologic survey procedures accumulate large volumes of structured and unstructured data. Fully exploiting the knowledge and information that are included in geological big data and improving the accessibility of large volumes of data are important endeavors. In this paper, which is based on the architecture of the geological survey information cloud-computing platform (GSICCP) and big-data-related technologies, we split geologic unstructured data into fragments and extract multi-dimensional features via geological domain ontology. These fragments are reorganized into a NoSQL (Not Only SQL) database, and then associations between the fragments are added. A specific class of geological questions was analyzed and transformed into workflow tasks according to the predefined rules and associations between fragments to identify spatial information and unstructured content. We establish a knowledge-driven geologic survey information smart-service platform (GSISSP) based on previous work, and we detail a study case for our research. The study case shows that all the content that has known relationships or semantic associations can be mined with the assistance of multiple ontologies, thereby improving the accuracy and comprehensiveness of geological information discovery.

The technical infrastructure of geological survey information grid

The ways of resource organization and mechanisms of management are important in the technical infrastructure of cloud computing or GRID computing, Many researchers have focused on the centralized resource pool and global-local two-layer mode but little work considers the availability and practicability of universal discovery description and integration and mechanisms of support long transaction management. In this paper, we propose an effective ways of resource organization and mechanisms of management, Called P2P Node manager technique. The P2P node manager aims at the kernel technology question for grid virtuality and cooperation. It begins with the questions for mode and performance of grid services, global and multilayer resource management and services discovery, mechanisms of support long transaction management and synchrone mechanism. Basd on Composition and technical infrastructure of the P2P node manager, the frame of resource organization based on geological fields Ontology, share, synchrone and teamwork mechanism of global-local two-layer resource, temporary aggregate-ware of data resource for supportting long transaction mechanisms, the portal configurator of virtual node resource for node self-government mechanisms have been discussed in the paper.

Research of Catalogue Service System based on China Geological Survey Information Grid platform

In the platform of China Geological Survey Information Grid(CGSIG), variety of spatial data of large storage capacity and different data format and spatial services which are various and powerful are collected and put together, therefore it needs a effective mechanism to store, manage, retrieve and discover these geo-resources. Catalogue Service System based on the platform of CGSIG adopts a means of metadata modeling to establish Catalogue Information Model (CIM) which describes informative productions of geological survey; provides many kinds of catalogue services conforming to OpenGIS Catalogue Services Specification and constitutes Catalogue Service Aggregator (CSA) which is s a unified storage container for catalogue services to realize registration, issuance and discovery of services. The Catalogue Service System built in the heterogeneous distributed grid computing environment gives an effective solution to manage geo-resources metadata, supports aggregation and integration of these resources and meets the needs for distributive storage and integrative discovery of multilevel, multi-source, multi-type spatial information.

The Spatial Data Sharing Mechanisms of Geological Survey Information Grid in P2P Mixed Network Systems Network Architecture Model

The spatial data sharing mechanisms is important in the technical infrastructure of cloud computing or GRID computing, Many researchers have focused on the centralized resource pool and global-local two-layer model but little work considers the availability and practicability of universal discovery description and integration and mechanisms of supporting long transaction management. In this paper, we propose an effective ways of resource organization and mechanisms of management in P2P mixed network systems network architecture model, Called RA-P2P. The variety of spatial data that is of large storage capacity and of different data format and spatial services which are various and powerful are collected and put together, therefore it needs an effective mechanism to store, manage, retrieve and discover these geo-resources. Based on the platform of GSI-Grid RA-P2P adopts a means of metadata modeling to establish resource catalogue, provides many kinds of catalogue services conforming to OpenGIS Catalogue Services Specification and constitutes Catalogue Services Aggregator (CSA) which is a unified storage container for catalogue services to realize registration, issuance and discovery of services. Heterogeneous distributed grid computing environment gives an effective solution to manage geo-resources metadata, supports aggregation and integration of these resources and meets the needs for distributive storage and integrative discovery of multi-level, multi-source, multi-type spatial information. Based on Composition and technical infrastructure of the RA-P2P, the frame of resource organization based on geological fields Ontology, share, synchronous and teamwork mechanism of global-local two-layer resource, temporary aggregate-ware of data resource for supporting long transaction mechanism, the portal configurator of virtual node resource for node self-government mechanisms have been discussed in the paper.

Cenozoic geomorphological and paleo-environmental evolution survey using multi-source data conformity

The earth surface information is very important in study of Cenozoic geomorphological evolution and paleo-environment evolution. In this essay, we adopt remote sensing data, DEM data and finity geological survey data to study the valley geomorphology. It indicates there are seven river terrace developed in Huangshui river area and saved integrity. we can recognize high flood plain, T1 terrace, T2 terrace and T3 terrace in remote sensing image. From the study on geomorphology using Digital elevation model(DEM), We made the diagram of geomophological geological map based on three-dimension DEM data in Minhe area, identify three planation surfaces and 11 Denudation surfaces and discuss the distribution, altitude, uplift speed of different planation surface. We also discuss the method in distinguish Cenozoic strata with other geological body.

The digital section system of digital mapping techniques

The Regional Geological Mapping (RGMAP) System developed by China Geological Survey Bureau is a GIS system for digital geological mapping, which has made a great change to traditional geological survey. RGMAP is composed of two parts: Digital Route System and Digital Section System. Each of them contains two subsystems, namely, the Palm-PC-Based Field Data Capture System and the In-house Desktop System. We discuss mainly the Digital Section System in this paper. In the field, we have achieved the section measuring digitally in computer by means of using the Palm-PC-Based Field Data Capture System. The Digital Section System (In-house Desktop Subsystem) can automatically calculate the thickness bed by bed, as well as create the Measured Section Chart and Columnar Chart, which has dramatically enhanced the measurement of geological section and its cartographical techniques.