摘要
领域重要的技术特征词在技术主题网络中具有关键核心作用,研究对比从核心专利数据集中抽取的技术特征词相对于全数据集的效率,进而探讨基于引文网络的核心专利集筛选策略对技术主题识别所产生的影响。本文借鉴了专利引用强度指标和引用滞后性特征对核心专利集进行两步筛选,研究对比核心专利集与全数据集抽取的主题特征词在词云规模、词频覆盖率、阈值选择以及技术主题划分的差异。实证分析发现,利用核心专利集抽取技术特征词有助于提升技术主题识别的效率和准确性,且基于核心专利集聚类生成的技术主题网络与领域全集的主题覆盖率较大,能够有效简化技术网络中的技术主题,更加便于专家对技术主题进行归纳与总结。
In view of the common problems occur in utility boilers, such as low reheat steam temperature and failure operation of SCR flue gas denitration system at low load, a technical program of utility boiler coupling straw adiabatic direct combustion furnace was proposed. In this program, the flue gas temperature of boiler tail flue is directly increased by using the sensible heat of high temperature flue gas produced by straw combustion.Taking an ultra supercritical 350 MW unit boiler as the example, thermodynamic calculation and economic analysis were performed when the high temperature flue gas produced by straw combustion in adiabatic direct firing boiler was introduced to the inlet flue duct of the low temperature reheater and the flue duct in front of the SCR denitration system at different loads. The results show that, when the 1 000 ℃ high temperature flue gas was sent to the inlet flue duct of low temperature reheater at 100% load, the consumption of straw was 3 749 kg/h, the reheat steam temperature increased by 13.5℃ and the power supply coal consumption reduced by 1.86 g/(kW·h).At 50% load, the consumption of straw was 3 749 kg/h, the reheat steam temperature increased by 33.3℃ and the power supply coal consumption reduced by 7.39 g/(k W·h). When the 1 000 ℃ high temperature flue gas was sent to the flue duct in front of the SCR flue gas denitration system at 50% load, the consumption of straw was580 kg/h, the flue gas temperature at the SCR denitration system inlet increased by 8.7℃ and the power supply coal consumption increased by 0.84 g/(kW·h), which met the requirements of the SCR denitration system.
作者
李姝影
张鑫
许轶
许海云
张娴
朱月仙
Li Shuying;Zhang Xin;Xu Yi;Xu Haiyu;Zhang Xian;Zhu Yuexian(Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041)
出处
《情报学报》
CSSCI
CSCD
北大核心
2019年第1期13-20,共8页
Journal of the China Society for Scientific and Technical Information
基金
ISTIC-Thomson Reuters科学计量学联合实验室开放基金项目"基于专利计量的产学研协同创新主题识别方法研究"(Y6H0951001)
中国科学院西部青年学者项目"企业专利组合价值分析模型及应用研究"(Y6C0141001)
关键词
专利技术主题识别
核心专利集
专利筛选
patent technology identification
core patent collection
patent screening
