电器设备温升试验数字化测量预测系统研究
马丹睿, 金立军, 赵刚
(1 同济大学 电子与信息工程学院，上海 201804：2 天水长城开关厂有限公司，甘肃 天水 741018)
摘 要：传统的温升试验系统的测量和记录设施智能化低，不能完整记录试验全过程数据，研究了一个温升试验数字化测量分析系统，该系统实现温升数据全过程记录，数据采样、处理精度高，提出了一套稳定温升预测分析算法，通过通流后1 ～ 3 倍时间常数内的温升数据，做出符合精度要求的稳定温升预测，可节约大量研究性试验的时间。经试验论证，系统满足电器设备研究性试验和型式试验的要求。
关键词：温升试验；数字化测量；预测算法；精度
中图分类号：TM643 文献标识码：A 文章编号：1007-3175(2015)11-0009-04
Study of a Digital Measuring and Predicting System for Electrical Equipment Temperature Rise Test
MA Dan-rui, JIN Li-jun, ZHAO Gang
（1 School of Electronics and Information Engineering, Tong ji University, Shanghai 201804, China;
2 Tianshui Changcheng Switchgear Co., Ltd, Tianshui 741018, China）
Abstract: The traditional equipment of temperature-rising test has low intelligentized capability in measurement and recording. The system cannot record data during test process completely to meet the demands for follow-up researching. The paper studied a measuring system of temperature-rising test to realize the whole process record and the high accuracy data sampling and disposing, and put forward the stable prediction algorithm to estimate the future value of temperature rise with the temperature-rising data during the period of one to three times of time constant, which saved a large number of research test time. Experimental results show that the system meets the requirements of electrical equipment of research tests and type tests.
Key words: temperature rise test; digital measuring; prediction algorithm; precision
参考文献
[1] 周会高，杨陶莉，赵端庆，等. 浅议高压开关设备的温升和机械试验[J]. 高压电器，2002，38(5)：60-61.
[2] Xiangzhong Q.A novel on-line measuring system of temperature for power system electric contact[C]//IEEE Power Engineering and Automation Conference (PEAM), 2011：276-279.
[3] GB/T 11022—1999 高压开关设备和控制设备标准的共用技术要求[S].
[4] Jun L, Yongqiang C, Mingxin Y.The SOPCbased ASF600 wireless temperature measuring
s y s t e m [ C ] / / T h e 2n d I E E E I n t e r n a t i o n a l Conference on Information Management and
Engineering (ICIME), 2010：612-616.
[5] 陈思明， 邹建强. 基于单片机控制的B u c k 电路在熔断器温升试验中的应用[ J ] . 低压电器,2010(9)：56-58.
[6] Richard R.Electromagnetic environmental impact of power electronics equipment[J].Proceedings of the IEEE, 2001，89(6)：926-938.
[7] GB/T 2903—1998 铜- 铜镍( 康铜) 热电偶丝[S].
[8] 马明建. 数据采集与处理技术[ M ] . 西安：西安交通大学出版社，2012.
[9] 刘爱华，马炳烈，王思润，等. 多片矩形导体载流与发热研究[J]. 电气应用，2009，28(24)：46-47.
[10] 钱家骊，袁大陆，杨丽华，等. 高压开关柜——结构、计算、运行、发展[M]. 北京：中国电力出版社，2006.
[11] 李西园，龚喆，马昆，等. 基于最小二乘法的热试验温度数据预测[ J ] . 航天器环境工程，2013，30(2)：146-150
