Application of ExtJS technique in online monitoring system of wind turbine

Abstract

Abstract: Abstract:The basic concept of ExtJS technique (the UI component library and the new characteristics of version 4.0 are included) was introduced. The design of interface of wind turbine online monitoring system was expounded. The design and implementation process of various function modules of the online monitoring system were analyzed. The wind turbine online monitoring system developed based on ExtJS technical frame can better realize dynamic display of realtime data.

Key words: Keywords:ExtJS technique, Web frontend, wind turbine, wind field geographical distribution, online monitoring system, realtime data

LI Chao, SUN Feng. Application of ExtJS technique in online monitoring system of wind turbine[J]. Huadian Technology, 2014, 36(3): 73-78.

[1]	FAN Daqian, LIU Bosong, GUO Peng. Wind turbine blades icing detection with multi-parameter models based on AdaBoost algorithm [J]. Huadian Technology, 2021, 43(8): 20-26.
[2]	YANG Mingming. Wind speed correction for wind turbine based on convolutional neural network [J]. Huadian Technology, 2021, 43(5): 75-79.
[3]	ZHANG Jun, SU Yang, LI Yong, CONG Xingliang. Numerical study on the flow control of vortex generators on large wind turbine blades [J]. Integrated Intelligent Energy, 2021, 43(12): 66-71.
[4]	JIANG Yijun, WANG Liqun, MENG Haojie, PAN Huangping. Research of monitoring technology applied on ring network cabinet mechanical characteristics based on Internet of Things [J]. Huadian Technology, 2021, 43(1): 6-11.
[5]	CAO Li，PAN Qiaobo，WANG Mingyu，MA Dong. Early warning method for wind turbine generator temperature based on HK-SVM [J]. Huadian Technology, 2020, 42(5): 43-49.
[6]	YANG Mingming. Research on wind turbine power curve based on Nacelle Transfer Function [J]. Huadian Technology, 2020, 42(5): 50-54.
[7]	JIANG Yin，REN Hongwei，CHEN Kai，ZHU Changjiang. Self-detecting method for faults in wind turbine controller I/O hardware based on BP neural network algorithm [J]. Huadian Technology, 2020, 42(5): 55-60.
[8]	CUI Xiuqiang. 诊疗平台；在线监管；全过程；技术监管；实时数据；远程诊断；燃料监管；智能电厂；互联网+ [J]. Huadian Technology, 2020, 42(2): 37-41.
[9]	LI Xinkai，LIU Wei，ZHANG Tingjun，WANG Peiming，ZHAO Jian，SUN Manjie. Study on wind turbine blade protection against lightening applied in comprehensive energy [J]. Huadian Technology, 2020, 42(2): 63-67.
[10]	WANG Daoxin, CAI Chuangbin, WANG Jinhe. Quantitative analysis on representative influencing factors of wind measurement mast based on power generation [J]. Huadian Technology, 2020, 42(12): 72-77.
[11]	XIE Jiaying，GUO Peng. Deep neural network modeling on power curve based on multivariable selection [J]. Huadian Technology, 2019, 41(8): 27-31.
[12]	Analysis and research on static deviation of the yaw system of wind turbines. Analysis and research on static deviation of the yaw system of wind turbines [J]. Huadian Technology, 2019, 41(7): 1-5.
[13]	HU Xiangtao，ZHANG Jinlei，XIANG Zongyuan. Derating and efficiency optimization operation of wind turbines running above cutout wind speed [J]. Huadian Technology, 2019, 41(7): 31-33.
[14]	LEI Yang1,LAN Wei2, SHI Chao1,ZHANG Zhongquan2, LIU Yongzhao3. Measuring method for wind turbine tower slope based on random sample consensus algorithm [J]. Huadian Technology, 2018, 40(10): 4-7.
[15]	ZHOU Tao1, 2, 3, MA Dongliang1, 2, 3, CHEN Baixu1, 2, 3, QI Shi1, 2, 3, SONG Zhenlong4. Application research on cooling system of passive natural circulation wind power engine room [J]. Huadian Technology, 2017, 39(6): 1-5.

Application of ExtJS technique in online monitoring system of wind turbine

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments