电磁灶热效率测量不确定度研究

doi:10.19784/j.cnki.issn1672-0172.2024.03.007

Abstract

Abstract: In order to improve testing accuracy, uncertainty needs to be evaluated when testing the thermal efficiency of electromagnetic stoves. The system analyzed the influencing factors of the thermal efficiency testing of electromagnetic stove products, mainly including the measurement of water quality and temperature. The main index of the load pot and the reasons that affect the testing accuracy were analyzed, and measures to improve the testing accuracy were proposed. Evaluate the measurement uncertainty of electromagnetic stove thermal efficiency using GUM method and MCM method respectively. The GUM method evaluation result is: the thermal efficiency measurement result of the electromagnetic stove is 86.93%, and the symmetric inclusion interval under a 95% inclusion probability is [86.65%, 87.21%]; The adaptive MCM method calculates that the thermal efficiency measurement result is 86.93%, and the symmetric inclusion interval at a 95% inclusion probability is [86.65%, 87.21%]. The results obtained by the two methods were compared and verified, and the results obtained by the two methods are basically consistent. Compared with the GUM method, the MCM method has a simpler process for evaluating uncertainty, greatly reducing the computational workload.

Key words: Monte Carlo, Electromagnetic stove, Thermal efficiency, Measurement uncertainty

CLC Number:

TM925
TB9

DU Yilin, LI Jian, HUANG Xiangyun. Research on uncertainty in measuring thermal efficiency of electromagnetic stoves[J]. Journal of Appliance Science & Technology, 2024, 0(3): 44-51.

References

[1] JCGM 100:2008 Evaluation of measurement data-guide for the expression of uncertainty in measurement[S].
[2] JJF 1059JF 1059.1—2012测量不确定度评定与表示[S]. 北京: 中国质检出版社, 2012.
[3] JCGM 101:2008 Evaluation of measurement data-Supplement 1 to the Guide to the expression of uncertainty in measurement-Propagation of distributions using a Monte Carlo method[S].
[4] 黄河清, 王高俊, 牛彦超, 等. GUM法与自适应MCM法评估复混肥料中钾含量测定不确定度的探讨[J]. 中国测试, 2022, 48(zk1): 79-86.
[5] 俱岩飞, 王俊彪, 常崇义, 等. 考虑非正定相关性的测量不确定度蒙特卡洛评定方法[J]. 计量学报, 2022, 43(06): 831-836.
[6] 刘园园, 杨健, 赵希勇, 等. GUM法和MCM法评定测量不确定度对比分析[J]. 计量学报, 2018, 39(01): 135-139.
[7] 程银宝, 陈晓怀, 王中宇, 等. CMM形状测量任务的不确定度分析与评定[J]. 计量学报, 2020, 41(02): 134-138.
[8] 余舒宁, 高志存, 崔惠娟, 等. GUM法和MCM法对饲料粗蛋白含量测量不确定度评定的比较[J]. 饲料博览, 2021(05): 38-42.
[9] 魏明明. 自适应MCM的波动性指标收敛趋势分析[J]. 计量学报, 2019, 40(03): 530-537.
[10] 刘枫, 林莎莎, 石正岩, 等. 蒙特卡洛法在多点校准线性测量系统不确定度评定中的应用[J]. 冶金分析, 2022, 42(04): 19-27.
[11] 王舵. 基于Python软件的蒙特卡洛法不确定度评定[J]. 化学分析计量, 2021, 30(06): 80-84.
[12] GB 21456—2014家用电磁灶能效限定值及能效等级[S]B 21456—2014家用电磁灶能效限定值及能效等级[S]. 北京: 中国标准出版社, 2014.
[13] IEC 60751:2022 Industrial platinum resistance thermometers and platinum temperature sensors[S].
[14] JJF 1059JF 1059.2—2012用蒙特卡洛法评定测量不确定度[S]. 北京: 中国质检出版社, 2012.
[15] 王伯燕, 杨统乾, 叶至壮, 等. 蒙特卡洛法评定微波炉效率值不确定度研究[J]. 家电科技, 2022(zk): 811-815.

[1]	Chalearn Bouted, Chavalit Ratanatamskul, Alberto Salvo, Hashimoto K, Kawakami Y, Zhao Bin, Yi Ren, Gao Diankui, Shi Chengjiang, Xu Lizhi, Zhang Yuanyuan, Bin Hu R.Z. Wang, Biao Xiao, Lin He, Wei Zhang, Shihang Zhang, Stamminger R, Tecchio P, Ardente F, Mathieux F, Niestrath P, Shijiao Yan, Yong Gan, Xingyue Song, Yunqiang Chen, Na Liao, Song Chen, Chuanzhu Lv. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 8 -9 .
[2]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 24 -25 .
[3]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 32 -33 .
[4]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 34 -37 .
[5]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 38 -39 .
[6]	. [J]. Journal of Appliance Science & Technology, 2019, 0(1): 40 -41 .
[7]	CHEN Xueqing, TONG Lei, ZHOU Xiangling. Design of environmental monitoring and adjustment system for archival repository[J]. Journal of Appliance Science & Technology, 2019, 0(1): 45 -47 .
[8]	WANG Feng, GENG Jinghua, ZHU Lingyun. Drying control technology of washing machine[J]. Journal of Appliance Science & Technology, 2019, 0(1): 50 -52 .
[9]	REN Fei, CHEN Yue. Air conditioning delay protection and implementation method[J]. Journal of Appliance Science & Technology, 2019, 0(1): 64 -67 .
[10]	MA Di, BI Haibo, ZHU Li. Optimization of refrigerator refrigeration system by intermittent defrosting control[J]. Journal of Appliance Science & Technology, 2019, 0(1): 68 -69 .

Research on uncertainty in measuring thermal efficiency of electromagnetic stoves

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