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[发明]
【中文】椰油酰胺丙基PG-二甲基氯化铵作为抑菌剂的应用及其作为抑菌剂在日化用品中的应用 【EN】Application of cocamidopropyl PG-dimethyl ammonium chloride as bacteriostatic agent and application of cocamidopropyl PG-dimethyl ammonium chloride as bacteriostatic agent in daily chemical products
申请号:
201911171381.9
公开号:CN110934759A 主分类号:A61K8/42
申请人:
【中文】马祥全【EN】Ma Xiangquan
申请日:2019.11.26 公开日:2020.03.31
发明人:
【中文】李梦茹
;
莫路易
;
孙山山
;
熊洁
;
何露【EN】Li Mengru
;
Mo Luyi
;
Sun Shanshan
;
Xiong Jie
;
He Lu
摘要:【中文】本发明公开了椰油酰胺丙基PG‑二甲基氯化铵作为抑菌剂的应用及其作为抑菌剂在日化用品中的应用。与现有技术相比,本发明提供了椰油酰胺丙基PG‑二甲基氯化铵作为抑菌剂的新用途,且椰油酰胺丙基PG‑二甲基氯化铵作为抑菌剂可以应用在日化用品领域,起到良好的抑菌效果。 【EN】The invention discloses application of cocamidopropyl PG-dimethyl ammonium chloride as a bacteriostatic agent and application of the cocamidopropyl PG-dimethyl ammonium chloride as the bacteriostatic agent in daily chemical products. Compared with the prior art, the invention provides the new application of the cocamidopropyl PG-dimethyl ammonium chloride as the bacteriostatic agent, and the cocamidopropyl PG-dimethyl ammonium chloride as the bacteriostatic agent can be applied to the field of daily chemical products and has good bacteriostatic effect.
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2:
[发明]
【中文】椰油酰胺丙基PG-二甲基氯化铵与多元醇的复配物及其应用 【EN】Cocoamidopropyl PG-dimethyl ammonium chloride and polyalcohol compound and application thereof
申请号:
201911171369.8
公开号:CN111000743A 主分类号:A61K8/42
申请人:
【中文】马祥全【EN】Ma Xiangquan
申请日:2019.11.26 公开日:2020.04.14
发明人:
【中文】李梦茹
;
莫路易
;
孙山山
;
熊洁
;
何露【EN】Li Mengru
;
Mo Luyi
;
Sun Shanshan
;
Xiong Jie
;
He Lu
摘要:【中文】本发明公开了一种椰油酰胺丙基PG‑二甲基氯化铵与多元醇的复配物,其特征在于:包括有椰油酰胺丙基PG‑二甲基氯化铵水溶液和多元醇,且所述椰油酰胺丙基PG‑二甲基氯化铵水溶液与所述多元醇的质量比为1:10~10:1。本发明还公开了椰油酰胺丙基PG‑二甲基氯化铵与多元醇的复配物作为抑菌剂的应用以及作为抑菌剂在日化用品中的应用。与现有技术相比,本发明的优点在于:本发明提供了一种椰油酰胺丙基PG‑二甲基氯化铵与多元醇的复配物,椰油酰胺丙基PG‑二甲基氯化铵与多元醇可以起到协同增效的作用,提高抑菌效果。 【EN】The invention discloses a compound of cocamidopropyl PG-dimethyl ammonium chloride and polyalcohol, which is characterized in that: the composite material comprises a cocamidopropyl PG-dimethyl ammonium chloride aqueous solution and polyhydric alcohol, wherein the mass ratio of the cocamidopropyl PG-dimethyl ammonium chloride aqueous solution to the polyhydric alcohol is 1: 10-10: 1. The invention also discloses application of the complex of the cocamidopropyl PG-dimethylammonium chloride and the polyalcohol as a bacteriostatic agent and application of the complex as the bacteriostatic agent in daily chemical products. Compared with the prior art, the invention has the advantages that: the invention provides a compound of cocamidopropyl PG-dimethylammonium chloride and polyalcohol, wherein the cocamidopropyl PG-dimethylammonium chloride and the polyalcohol can play a role in synergy and improve the antibacterial effect.
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3:
[发明]
【中文】基于图像识别的刀闸状态检测方法 【EN】Knife switch state detection method based on image recognition
申请号:
201911332945.2
公开号:CN111126253A 主分类号:G06K9/00
申请人:
【中文】国网福建省电力有限公司
;
国网福建省电力有限公司福州供电公司
;
福建和盛高科技产业有限公司【EN】STATE GRID FUJIAN ELECTRIC POWER Co.,Ltd.
;
FUZHOU POWER SUPPLY COMPANY OF STATE GRID FUJIAN ELECTRIC POWER Co.,Ltd.
;
FUJIAN HOSHING HI-TECH INDUSTRIAL Co.,Ltd.
申请日:2019.12.23 公开日:2020.05.08
发明人:
【中文】鲍晓宁
;
陈杨
;
陈斌
;
胡晓辉
;
郭碧媛
;
林晓敏
;
林昭
;
余薇
;
陈淑玲
;
黄竞宇
;
林岩
;
陈太
;
高兀
;
秦琳
;
熊志敏
;
何晶
;
莫薇
;
刘路翊
;
李秋雨
;
伊轩
;
聂鑫【EN】Bao Xiaoning
;
Chen Yang
;
Chen Bin
;
Hu Xiaohui
;
Guo Biyuan
;
Lin Xiaomin
;
Lin Zhao
;
Yu Wei
;
Chen Shuling
;
Huang Jingyu
;
Lin Yan
;
Chen Tai
;
Gao Wu
;
Qin Lin
;
Xiong Zhimin
;
He Jing
;
Mo Wei
;
Liu Luyi
摘要:【中文】本发明涉及一种基于图像识别的刀闸状态检测方法,包括:1、获取设定位置图像;2、检测刀闸区域;3、对图像进行灰度化、二值化、细化处理;4、采用Hough变换算法检测直线并过滤;5、基于SIFT特征提取算法,从刀闸状态图像中提取特征向量;6、进行尺度空间极值检测,确定关键点的位置和所在尺度;7、为每个关键点指定方向参数;8、生成关键点特征矢量;9、判别“开闸”、“合闸”或“未合闸到位”状态;10、采用Sobel边缘检测算法检测刀闸双臂的边缘信息;11、计算刀闸双臂的夹角;12、重新确认是否合闸到位,得到明确的刀闸状态和合闸角度信息。该方法有利于快速、准确地检测出刀闸的工作状态。 【EN】The invention relates to a knife switch state detection method based on image recognition, which comprises the following steps: 1. acquiring a set position image; 2. detecting a disconnecting link area; 3. carrying out graying, binaryzation and thinning processing on the image; 4. detecting straight lines by using a Hough transform algorithm and filtering; 5. extracting a feature vector from the disconnecting link state image based on an SIFT feature extraction algorithm; 6. carrying out scale space extreme value detection, and determining the position and the scale of the key point; 7. assigning a direction parameter for each key point; 8. generating a key point feature vector; 9. judging the states of 'switching off', 'switching on' or 'not switching on' in place; 10. detecting edge information of the two arms of the disconnecting link by adopting a Sobel edge detection algorithm; 11. calculating the included angle of the two arms of the disconnecting link; 12. and re-confirming whether the switch is in place or not to obtain clear information of the state and the angle of the switch. The method is beneficial to quickly and accurately detecting the working state of the disconnecting link.
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