Volume 9 Number 6 (Jun. 2014)
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JSW 2014 Vol.9(6): 1634-1644 ISSN: 1796-217X
doi: 10.4304/jsw.9.6.1634-1644

Developing a Coal Quality Detection Management System for Power Plants

Zhao Liu, Ze Dong, Pu Han
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation (North China Electric Power University), Baoding 071003, China

Abstract—A Coal Quality Detection Management System is developed in Visual C++ based on Client/Server mode, and the system combines several techniques, such as the open database connectivity, serial communication, and Excel object linking and embedding. The system is composed of three modules: a receipt/allocation module, a data acquisition module, and a detection data management module, and the modular structure endows the system with a series of functions, such as real-time data collection, query results, data processing, data auditing, data storage, and report printing. Recently, the system was applied in two coal-fired power plants for managing coal quality detection, which greatly improves the detection efficiencies and reduces the manual works.

Index Terms—Coal quality detection, Power plants, Fuel management, Client/Server mode, Open database connectivity, Serial communication

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Cite: Zhao Liu, Ze Dong, Pu Han, "Developing a Coal Quality Detection Management System for Power Plants," Journal of Software vol. 9, no. 6, pp. 1634-1644, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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