Ⅰ Introduction
"Meteorological Information Sharing and Data Mining" laboratory was approved in 2010 for the Sichuan Key Laboratory of Universities (Sichuan teach letter [2010] No. 594). The laboratory based in our school meteorological industry background, relying on the Bureau of school cooperation framework, focusing on integrated business meteorological observations, forecasts predict the actual needs of the business and public weather services, meteorological modernization development, aimed at domestic and meteorological information sharing and data mining frontier and hot, carry out theoretical basic research, key technologies and common technologies to study and solve the key problem of information sharing and data mining in the weather industry applications.
Main Research Content
Conceptual model of distributed processing huge amount of information and services, service framework, network architecture, and the theoretical aspects of research and knowledge representation modeling, analysis and knowledge representation, data fusion and the like. Business applications on the basis of an information technology support platform technology with independent intellectual property rights, the focus of meteorological information storage, processing meteorological data, meteorological data mining, meteorological information sharing and visualization aspects.
Achievements Overview
The past three years undertaken a national industry-specific, the National Natural Science Foundation of China, 863 Program, the National Science and Technology Support Program, the China Meteorological Administration and the Bureau of Meteorology project 27 provinces, total research funding of 8.6 million yuan; published 42 papers, of which three search included 31; applied for patent 5, 33 software copyrights.
Ⅱ Research Teams
Laboratory of existing staff of 36 people, including 6 professors, 12 associate professors, 20 full-time researchers, has a doctorate in 16 people in Sichuan Province academic and technical leader candidates 2.
Laboratory Introduction
Shu Hongping, male, born in May 1974, Communist Party members, Ph.D., Professor, master tutor. The current president of Chengdu University of Information Engineering, Software Engineering Institute, deputy director of the National Meteorological Information and Communication Technology Committee, Sichuan Branch of China Youth Federation, vice chairman of Sichuan Province Software Industry Association and vice president, Sichuan Province, discipline and academic leaders candidates.
Since 1996, has been engaged in database technology, data mining, computer applications and other aspects of the work in the meteorological industry, hosted and participated in 973,863 plans, National Technology Support Program, the National Natural Science Foundation of China, Sichuan Science and Technology Support Program, 20 I research projects; the first author in domestic and foreign journals published 54, which were retrieved EI / SCI 14 papers; four national invention patents, 12 software copyrights achieved; led the team won the national scientific and technological progress prize one, Sichuan Science and Technology progress Award two, three prize several awards 2 and so on.
Ⅲ Main Research Directions
1 .Meteorological Data Processing
The direction of the core business of modern meteorological data, weather predictions about the business, integrated meteorological observation services, public weather services needs to carry out scientific research. On the basis of standards and norms to follow the information on the quality control, research and evaluation of meteorological data quality control system, further development of uniform climatic sequence, a variety of data integration, analysis of regional data again.
Research areas covered atmospheric sounding, weather, weather information, data mining and so on. Direction requires both a strong team meteorological operational capacity, also has a strong software development capabilities, information technology and depth of meteorological services provide the technical foundation and personnel security integration.
2 .Meteorological information sharing software technology
Follow the standards and norms of meteorological services, to achieve standardization of meteorological data storage management, provide weather data information is stored as a multi-track traffic, weather data send / receive management, monitoring of meteorological data, meteorological data processing and shared services.
The direction of database technology as the core, the meteorological information business demand-driven set of software engineering, software development, software testing technology, and observational data and products meteorological observation system involving the collection, transmission, storage, sharing and distribution, high performance computing, data management and other services to conduct research and application.
In database technology, mainly for large-scale relational databases (Oracle, SQL Server, DB2, etc.), the researchers distributed database, embedded database; software technology development, mainly for SOA architecture, JavaEE technology, Web Service, EAI, Portal, Research and application ldap, XML and other technologies; software engineering major design patterns, research and application of business modeling, algorithm design, human-computer interface, CMM and other aspects; the main testing software testing techniques, methods, processes, test documents, etc. of research and applications.
3 .Data Mining
For meteorological data in a variety of research methods to establish a comprehensive meteorological data warehouse, data mining techniques such as classification, clustering, association mining and other meteorological data processing and intelligent analysis to the meteorological numerical prediction, disaster prevention and mitigation, visualization method of weather text data mining, image data mining results; weather warning and emergency command and provide decision support; for the knowledge of the type of meteorological operations and application characteristics, the study of a variety of algorithms mining results of fusion and evaluation methods Wait.
Ⅳ.Core Research
Provincial and county levels of public weather services platform
Platform, the first in China to achieve a national administrative area near real-time multi-scale, multi-type meteorological service products as well as automated production and storage management products web publishing options, the first time the concept of the International Organization for Standardization W3C ontology introduced meteorological services Knowledge management and analysis chart release, and will be the first American UCAR geoscience content management system (RAMADDA), meteorology visual data integration (IDV) technology into meteorological service product development and management, innovative a distributed meteorological content management system, international data sharing between domestic WMO, reached international advanced level meteorology; to carry out the construction component library for public weather services in the field of public weather services, the establishment of meteorological products with independent intellectual property distribution process engine for meteorological service products production process distribution and products; to serve a fitting manner, according to local meteorological department particularity of different meteorological operations, according to local business process logic, integration and assembly of the corresponding type of public weather services component improves the structure of the system scalability and portability sex; in follow China Bureau public weather service Center develop Categories naming convention based on the elimination of the conversion process when sharing product data between formats, improved product shared freedom; the way in order to establish contractual relationships with customers, completion of the contract products, product configuration, product distribution, and dynamically detect the validity of the contract. Achieve production orders, contract management, to achieve the traditional public weather services migrate to the information and network services, as well as inter-regional meteorological service product personalization, diversification customized to meet the multi-level user personalization demand and develop the services and space.
The platform has been in the country more than 10 provinces and more than 500 cities and counties have been successful application, provide scientific basis for government disaster prevention and emergency command, resulting in a good social and economic benefits.
