Coal real-time data analysis and management network

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Instrument Description:

■ System Features

  Laboratory data management system capable of coal quality laboratory instrument real-time monitoring and collection (including calorimeter series, measuring sulfur analyzer series, the industry analysis series, etc.), to provide a seamless interface for SPC data quality analysis and enterprise MES system at the same time, in order to guarantee the smooth progress of the experiment, a variety of resources such as personnel, equipment, facilities, etc. are also included among the effective management to improve the level of laboratory management, allowing companies to detect the level of information to reach a new level.

   Sampling room computer monitor computer laboratory center server (database server) consisting of an internal LAN, and the raw data for each station laboratory tests on the instrument for the collection, analysis and processing, printing; and then upload it to the laboratory via a LAN computer monitor (center server) summarize treatment. Meanwhile at the specified permissions for each user can be a variety of laboratory data query results via the web (WEB server). Reserved for external data interface, you can import the data into under the authority of the premise factory MIS information management system dedicated database for each user through the factory MIS system for testing data queries.

   System consists of the following modules: system management, sample information management, laboratory data management, resource management, system help, leadership queries.

Technical parameters:

■ Function System

System consists of the following modules: system management, sample information management, laboratory data management, resource management, system help.

Main features:

■ Technical Features

① laboratory data collection, processing, transfer automatically.

② real-time data query, statistical analysis, information distribution, leadership inquiry system to provide "one-stop" information services.

③ laboratory management processes, intelligence, networking, upgrading laboratory management.

④ laboratory data for the production of services, enhance production management standardization and scientific.

⑤ reduce office costs, reduce labor intensity and avoid manual errors and data errors, improve work efficiency.

⑥ maintain data consistency and data in the original, enhanced data sharing and avoid modifying data and data sources believed diversity, improve laboratory data security, impartiality and rigor.

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