张贵峰
云南电网有限责任公司电力科学研究院
张贵峰来自云南电网有限责任公司电力科学研究院,专利193件。擅长图像分析、生物模型计算、电性能及故障测、垂直结构。最擅长图像分析。排名在TOP2。一种基于MIMO的巡线无人机高可靠遥控信息发射方法是存续时间最长的专利。与南方电网科学研究院有限责任公司合作139次,与吴新桥合作126次。
云南电网有限责任公司电力科学研究院
张贵峰来自云南电网有限责任公司电力科学研究院,专利193件。擅长图像分析、生物模型计算、电性能及故障测、垂直结构。最擅长图像分析。排名在TOP2。一种基于MIMO的巡线无人机高可靠遥控信息发射方法是存续时间最长的专利。与南方电网科学研究院有限责任公司合作139次,与吴新桥合作126次。
申请日: 20230629 公开日: 20260306 申请人: 香港中文大学(深圳)
申请日: 20231115 公开日: 20260206 申请人: 云南电网有限责任公司电力科学研究院
申请日: 20221206 公开日: 20260203 申请人: 南方电网科学研究院有限责任公司
申请日: 20230724 公开日: 20260106 申请人: 香港中文大学(深圳)
申请日: 20221206 公开日: 20250516 申请人: 南方电网科学研究院有限责任公司
CN201310152645.2
CN201310152677.2
CN201310152695.0
CN201410114887.7
CN201410375842.5
CN201410376853.5
CN201410376902.5
CN201410378124.3
CN201410495422.0
CN201410497314.7
CN201410854079.4
CN201420295561.4
CN201420431783.4
CN201420432718.3
CN201420432719.8
CN201420435009.0
CN201420493348.4
CN201420493617.7
CN201420493740.9
CN201510026139.8
CN201510188835.9
CN201510218379.8
CN201510218408.0
CN201510221816.1
CN201510262154.2
CN201510263260.2
CN201510263448.7
CN201510272155.5
CN201510292269.6
CN201510303747.9
CN201510311834.9
CN201510311975.0
CN201510397352.X
CN201510485899.5
CN201510485907.6
CN201510579421.9
CN201510723904.1
CN201510724677.4
CN201510753532.7
CN201510753533.1
CN201510756087.X
CN201510756386.3
CN201510756974.7
CN201510759420.2
CN201520241356.4
CN201520564211.8
CN201520564226.4
CN201520598803.1
CN201520598805.0
CN201520696960.6
CN201520706242.2
CN201520736485.0
CN201520741358.X
CN201520855921.6
CN201610232377.9
CN201610264745.8
CN201610265304.X
CN201610270025.2
CN201610270353.2
CN201610270367.4
CN201610270670.4
CN201610272154.5
CN201610278923.2
CN201610286130.5
CN201610286498.1
CN201610286922.2
CN201610326771.9
CN201610373923.0
CN201610373924.5
CN201610532173.7
CN201610554789.4
CN201610575207.0
CN201610575637.2
CN201610630532.2
CN201610705055.1
CN201610763089.6
CN201610815060.8
CN201610824861.0
CN201610841211.7
CN201610841315.8
CN201610851306.7
CN201610854293.9
CN201610949803.0
CN201620313062.2
CN201620359737.7
CN201620367060.1
CN201620367815.8
CN201620368268.5
CN201620372748.9
CN201620515264.5
CN201620713821.4
CN201620753238.6
CN201620799176.2
CN201620829253.4
CN201620889175.7
CN201620999184.1
CN201621048066.9
CN201621057100.9
CN201621081103.6
CN201621083902.7
CN201710117814.7
CN201710118202.X
CN201710809837.4
CN201711483789.0
CN201711485443.4
CN201721152947.X
CN201721903629.2
CN201721904528.7
CN201721927916.7
CN201810323435.8
CN201810454755.7
CN201810492382.2
CN201810526104.4
CN201810627061.9
CN201810801754.5
CN201810802141.3
CN201810810310.8
CN201820482006.0
CN201821154718.6
CN201821154794.7
CN201910097606.4
CN201910136587.1
CN201910221807.0
CN201910222212.7
CN201910322345.1
CN201910322416.8
CN201910324239.7
CN201910324251.8
CN201910669475.2
CN201910743061.X
CN201910958920.7
CN201911154087.7
CN201920178178.3
CN202210046866.0
CN202210511115.1
CN202211557969.X
CN202211557981.0
CN202310152651.1
CN202310286230.8
CN201510485899.5
CN201510485907.6
CN201510579421.9
CN201510579421.9
CN201520598805.0
CN201520696960.6
CN201520706242.2
CN201520736485.0
CN201520741358.X
CN201610232377.9
CN201610270353.2
CN201610270670.4
CN201610278923.2
CN201610286130.5
CN201610286498.1
CN201610286922.2
CN201610326771.9
CN201610532173.7
CN201610532173.7
CN201610705055.1
CN201610705055.1
CN201610815060.8
CN201610854293.9
CN201620313062.2
CN201620359737.7
CN201620367815.8
CN201620368268.5
CN201620372748.9
CN201620515264.5
CN201620713821.4
CN201620713821.4
CN201620753238.6
CN201620799176.2
CN201620799176.2
CN201620829253.4
CN201620829253.4
CN201620889175.7
CN201620999184.1
CN201621048066.9
CN201621057100.9
CN201621081103.6
CN201621083902.7
CN201711483789.0
CN201711485443.4
CN201721152947.X
CN201721903629.2
CN201721904528.7
CN201721927916.7