英文原文
Data Integration Research of Coal Mine Safety Production System for Emergency Decision-making
Pan Qi-dong；Zhang Rui-xin；Duan Dong-sheng；
School of Resources and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083;
School of Energy Science and Engineering, Henan Polytechnic University, Henan, JiaoZuo, 454003.
ABSTRACT: Today the serious casualties of Chinese coal mines happened frequently and caused great casualties and property losses. This situation is extremely associated with scarcity of advanced emergency management(EM) methods for emergences forecast&precaution and decision-making. Data integration of coal mine safety production (CMSP) system is the foundation of solving above problems. According to the multi-source and heterogeneous features of CMSP System, this paper analyzes several ways of data integrating, and concludes that the combination of data warehouse and middleware (named data-center) can solve the problems effectively. On this basis, a meta-framework model for coal mine EM system is established, and the data integration system for coal mine emergency decision-making is designed. At last the conversion problem of heterogeneous-source data is analyzed. KEYWORDS: coal mine;emergency decision-making;data integration;multi-source
heterogeneous
I. INTRODUCTION
Nowadays, the situation of CMSP is still very serious. The EM functions implement incompletely and lack of advanced EM methods are the significant causes. Relying on information technology（IT） to solve CMSP problems, and establishing intelligent coal mine emergency decision support system, are extremely vital significance to CMSP. CMSP system is a huge system. It includes a series platforms of softwares and hardwares such as communication network system, ascension and adhesive tape transportation machine system, gas drainage system, drainage and pressing air system, power monitoring and controlling system, safety production monitoring system, and so on. It also includes command and organization system, legal rules and regulations, publicity, training, personnel and supporting materials, etc.
Coal mine EM is an important segment to CMSP. It contains four processes, that is
prevention and emergency preparedness, monitoring and early warning, emergency handling and rescue, restoration and reconstruction. It is a whole management process in coal mine operation. Data integration of CMSP is a prerequisite to EM system for emergences forecast and precaution and decision-making. Due to different construction time, using dissimilar technical standard and different subordinate departments, the data of information systems in CMSP simultaneously have all characteristics of system heterogeneous, model heterogeneous and sources heterogeneous. Actually, data integration of CMSP is a typical multi-source heterogeneous data integration problem.
II. MODE AND OPTION OF DATAINTEGRATION
A. Concept of Data Integration
Data integration is a process of organizing the fixed data and heterogeneous data in different database systems, which aims to make different applications access to the shared data, and then establish more application functions. Data integration is a basic integration. It always is start of the application integration and information system integration. Fig.1 is the abstract model of data integration.
CustomerData applicationSystem of Data IntegrationData extractionData Source1Data Source2……Data Source3 Figure1. A abstract model of data integration
B. Comparison and Selection of the Ways of Data Integration
Usually, multi-source heterogeneous data integration has two modes. One is to transplant the original data into the new database management system, which includes federated database and data warehouse regularly. Another is the middleware . And the modes of data warehouse and middleware are popular and get more application
Data warehouse utilizes metadata models to identify and catalogue these scattered and independent databases. The data sources integrate into a global model after ETL (Data Extraction, Transformation and Loading) process, and then stored in the data warehouse. The data warehouse will wash those mass useless data during above process， and can be preferable used to carry on data mining and knowledge
discovery through historical data analysis. On contrast，Middleware mode use a unified data logical view, which provided by a software located between a heterogeneous database system (data layer) and the application procedures (application layer), to hide the details of bottom data. Through this way, users can regard the data integration as a unified whole. It can provide general data interface upward to accessing the applications of integrated data. Through comparison，the later has advantage of the former on deal with the real-time data.
Emergency decision data root in CMSP system, which need to know the real-time running state, while the historical mass data also should be made in-depth study and utilizing. In order to satisfy the need of EM, this paper builds a data center(data warehouse + middleware)as data integration mode of CMSP system. The middleware provide flexible independent data extraction and data integration for the data warehouse. It has been proven effective to integrate the historical, real-time and heterogeneous data.
III. METAMODEL STRUCTURE OF COAL EMERGENCY MANAGEMENT SYSTEM
In order to clearly reflect the relationship between CMSP and EM, and grasp the panorama of EM system, it is necessary to establish metamodel structure of coal mine EM system before EM system is established. This metamodel is the most basic model, and it gives decision-makers and system designers a global guidance and support to get decision problems navigation.
The causes of coal mine accidents and disasters are instability or loss of control of all kinds of dangerous sources. These dangerous sources always include 7 major categories of common hazards in coal mine, and also include floods, landslides and other natural factors outside. All kinds of dangerous sources are monitoring focus of CMSP, and also are data sources of EM system. Based on domain ontology and life cycle of disaster and accident, emergency decision process can be divided into three periods, namely beforehand preparation, immediate response and post-processing. During beforehand preparation period, EM system should support obtaining relevant data from all kinds of monitoring systems and production operation systems, and can research and analyze various risk factors and their development. This period includes 3 stages, that is monitoring and controlling, forecast and precaution, and emergency preparation. Monitoring and controlling stage should achieve real-time monitoring data for all kinds of dangerous sources and natural environment; emergency preparation stage includes planning and allocation of emergency resources, and accumulation of comprehensive knowledge of emergency; and the preparation
煤矿安全生产应急决策的数据集成研究系统-毕业论文外文文献翻译
