摘要
从专利分析的角度,采用数据挖掘的方法从技术发展现状、技术区域分布、技术竞争主体、技术重热点领域4个方面对国内外空气净化技术的专利数据进行了挖掘分析,探究了国内外空气净化技术的整体发展情况。分析结果表明,国内外空气净化技术整体发展势头良好、技术发展速度快、技术创新空间大、技术领域内各项专利的整体申请数量普遍增多;国内外空气净化技术专利在全球范围内整体上呈现出区域分布不均、局部地区集中的特点;技术竞争主体以企业类型为主,整体专利在竞争主体内的分布相对分散,“产-学-研”模式存在一定程度上的脱节,企业和研究机构的合作强度及合作密度有待进一步提高:基于光催化、离子化、热光电联合催化等催化方式的空气净化方法、空气过滤材料的制备方法及制作工艺以及空气净化系统的智能控制(调节)方法等技术增长率高、技术关联性强,属于空气净化技术领域的重热点技术,企业及相关研究机构应重点关注。
From the perspective of patent analysis, a mining analysis was done on the patent data of air purJfyJng technoJogJes at home and abroad by using the data mining method from the deveJopment status, regional distribution, main competitors and technical hot field to explore the overall development of air purifying technologies at home and abroad. It has been indicated that at present, the overall development of air purifying technologies at home and abroad has good momentum whilst the technologies are developing fast, the innovation has vast space and the number of patent applications in the field is increasing. In general, air purifying technology patents have the characteristics of uneven distribution globally and being grouped locally. Enterprises are the major competitors among which the distribution of overall patents is relatively scattered, and as there is a certain degree of disjunction in the "enterprise-university-research" model, the intensity and density of cooperation between enterprises and research institutions should be further improved. Enterprises and related research institutions should focus on the air purification method based on the catalysing mode of photo-catalysis, ionisation, combined thermo-photo-voltaic catalysis and so on. In addition, they should put emphasis on the important and hot air purifying technologies with high technical growth rate, strong technical association including preparation methods and manufacturing processes of air filter material, intelligent control/adjustment of air purification system, and etc.
作者
高杰
张强
龙华
刘永召
邵玉斌
Oao Jie Zhang Qiang Long Hua Liu Yongzhao Shao Yubin(Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 65000)
出处
《上海环境科学》
CAS
2016年第6期253-259,262,共8页
Shanghai Environmental Sciences
基金
2014云南省科技厅基金,编号:2014RA051
2013云南省科技厅基金,编号:2013FZ010
关键词
空气净化技术
数据挖掘
专利分析
关联分析
聚类分析
Air purifying technologies Data mining Patent analysis Association analysisCluster analysis