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YINCHUAN POWER SUPPLY CO STATE GRID NINGXIA ELECTRIC POWER CO

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    142,311
  • Filing trend
    ⇩ 100.0%
About

YINCHUAN POWER SUPPLY CO STATE GRID NINGXIA ELECTRIC POWER CO has a total of 12 patent applications. It decreased the IP activity by 100.0%. Its first patent ever was published in 2015. It filed its patents most often in China. Its main competitors in its focus markets electrical machinery and energy, environmental technology and measurement are NIPPON PITT KK, DAIHEUNG ENG&ARCHI CO LTD and TARCZY PETER.

Patent filings in countries

World map showing YINCHUAN POWER SUPPLY CO STATE GRID NINGXIA ELECTRIC POWER COs patent filings in countries
# Country Total Patents
#1 China 12

Patent filings per year

Chart showing YINCHUAN POWER SUPPLY CO STATE GRID NINGXIA ELECTRIC POWER COs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Pan Qingqing 5
#2 Ma Baolong 4
#3 Wang Jian 3
#4 Bai Yu 3
#5 Lei Ning 3
#6 Wang Haimo 3
#7 Mei Hua 3
#8 Li Wei 3
#9 Wang Bin 2
#10 Tan Yonggui 2

Latest patents

Publication Filing date Title
CN107591895A System is dispatched by heavier-duty transformer station
CN106849076A Earth fault alignment alarm type mobile substation
CN106802192A Being taken for 10kV switch ring main unit electric field inductions can temperature measuring equipment
CN106602469A Overhead line insulation isolation device
CN106786179A Insulation turnbuckle plate pulling device
CN106786164A Multipurpose insulating bearing
CN105909144A Ventilation insect-proof door for high-pressure chamber of transformer substation
CN105512253A Batch identification image identification information method and device
CN105355003A Voice prompting device for construction safety operation
CN105239663A A sand-prevention cover plate for catch basins
CN104951885A Visualized display system for information integration and comprehensive analysis of intelligent main distribution network
CN104951884A Visual display method of accident emergency repair and inversion based on distribution network