Application and Composition observing system of Automatic Weather Station and Power Grid - Jamil et al., Irfan
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Research Paper (postgraduate) from the year 2013 in the subject Engineering - Geotechnology, grade: Master, Hohai University (College of Energy and Electrical Engineering), course: Automation, language: English, abstract: This paper presents the compositions observing system and applications of AWS and PGMIS which are widely inaugurated in meteorological system respectively. The brief discussion is done on technical levels and control aspects of new technology for Automatic weather station and Power Grid Meteorological Information System. Controlled by electronics devices or computer, the…mehr

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Produktbeschreibung
Research Paper (postgraduate) from the year 2013 in the subject Engineering - Geotechnology, grade: Master, Hohai University (College of Energy and Electrical Engineering), course: Automation, language: English, abstract: This paper presents the compositions observing system and applications of AWS and PGMIS which are widely inaugurated in meteorological system respectively. The brief discussion is done on technical levels and control aspects of new technology for Automatic weather station and Power Grid Meteorological Information System. Controlled by electronics devices or computer, the automatic weather station automatically observes weather and collects and transmits data. AWS is usually composed of sensor, transmitter, data processing device, data transmitting device and power supply. The transmitter converts weather parameters sensed by sensor into electric signal then; data processing device will process these electrical signals and convert them into corresponding meteorological elements. Power Grid Meteorological Information System (PGMIS) refers to the meteorological information comprehensive platform of Power Grid applied in power grid corporations at all levels, which is also a professional application system in combination of meteorological information and production and operation of power grid. The system mainly provides timely and comprehensive meteorological information related to operation of power grid to realize monitoring, tracing, forecasting and warning of disastrous weather, and offers aid decision for load forecasting, economical dispatching and accident prediction of power grid.
Autorenporträt
Dr. Irfan Jamil was born in Punjab province, City Multan, Pakistan on Feb 25,1987. He earned Ph.D degree from Hohai University, Nanjing, China in 2021. He received his master degree from Hohai University in 2013. He had been as a MEXT research scholar in Kyushu University, Japan in 2014. He also did his master research work as a Visiting Research Scholar at Tsinghua University, Beijing from 2012-2013 under the project No. is 2012AA050215 National High-Tech R&D Program (863 Program) of P.R China. He had been part of the National Natural Science Foundation of China under Grant no. 51677054 and Grant no. 51577049 and in part by the State Key Research Project (2017YFB0902600) during his PhD program. He has been published more than 25 research papers and 8 e-books in referring international journals, including SCI, IEEE conference during the period of master degree program from 2011-2013 and PhD program 2014-2021. He is also an editorial board of committee in International Journal of Innovation and Applied Studies (ISSR) and in World Academy of Science, Engineering and Technology (WASET). He is an editorial board member of Smart Science (TAETI Academic Publisher). He is also founder of Kambohwell Publisher Enterprises (www.kwpublisher.com) and Managing Editor in IJEW journal (www.ijew.io). His research interest Involves in solar system evaluation, solar energy production & power generation, Performance Ratio, Power Electronics and Power System Automation. These days, He is working as a Project Manager/ Commercial Manager in TBEA Xinjiang SunOasis Co., Ltd by the QASPL Govt. of Punjab Energy Department project of O&M (100MW Quaid-e-Azam Solar Power Plant Bahawalpur, Pakistan). He is an expert in the administration level field related to the industrial, commercial sector and in an academic firms.