Design on Optimization Database of Radiation Protection for Nuclear Facilities Maintenance

Article Preview

Abstract:

The optimization database of radiation protection was designed on nuclear facilities maintenance with SQL Server 2008 in this paper. The database includes four modules, namely system login module, statistical data module, daily module and optimization module. Twenty-three data tables were designed, which could store a mass of data in orderly. The optimization database of radiation protection on nuclear facilities maintenance could store the original monitoring data such as plant radiation levels measurement figure on nuclear facilities for maintenance and maintenance daily. This database also combines with the actual demand in the engineering project to statistics and analysis the data.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

835-838

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jun Zhang, Jizeng Ma, Yansheng Zhang. Radiation Protection Communication, 2003, 23(3):P35-39. (In Chinese)

Google Scholar

[2] Liang Wu. Science and Technology Information, 2009, 36. (In Chinese)

Google Scholar

[3] ICRP. The Optimization of Radiological Protection, Broadening the Process, ICRP Publication 101, Part 2, Elsevier Press, 2006.

Google Scholar

[4] ICRP. Principles for Intervention for Protection of the Public in a Radiological Emergency, ICRP Publication 63, Pergamon Press, Oxford and New York, 1993.

Google Scholar

[5] ICRP. Cost-benefit Analysis in the Optimization of Radiation Protection. ICRP Publication 37,1983.

Google Scholar

[6] ICRP. Optimization and Decision-making in Radiological Protection. ICRP Publication 55,1989.

Google Scholar

[7] J.L. Chakravatti. The Application of the Principle of Optimization in Radiation Protection in Uranium Mining and Milling, IAEA-SM-285, 1986.

Google Scholar