节点文献
基于多维分析的省级电网专利地图平台设计与应用
【作者】 杨健;
【作者基本信息】 贵州大学 , 计算机技术(专业学位), 2021, 硕士
【摘要】 专利是世界上最大的技术信息源,专利文献的内容包含了世界上绝大部分的新技术信息。专利的申请量和授权量成为衡量国家或企业科技发展速度与水平的重要指标之一,通过对专利信息进行有效分析和运用,可大大降低相关产品研发成本,专利对国家或企业而言是兼具经济价值和技术价值的重要战略资源。电网企业日益重视科技创新,结合自身技术研发优势,企业内部形成了大量的专利信息。因此电网企业亟需运用信息化技术,建立一套完整的电网企业专利地图分析管理平台来进行专利检索以及专业领域技术分析,引导企业研发方向,提高企业未来的技术竞争优势地位。本文针对省级电网企业的实际需求,通过对现有专利地图绘制方法的研究,在省级电网企业内部信息系统运行环境下,设计和实现一个由企业科技主管部门管理、对企业普通用户开放查询使用的多维分析可视化专利地图平台。平台主要由五个模块组成:电网专利信息专利维护、专利信息综合检索、专利地图展现、专利多维统计分析、用户权限管理等。多维分析可视化专利地图平台通过爬虫和人工录入等方式采集专利基础信息,形成企业本地化存储的专利信息库,对省级电网专利信息实现集中化、统一化管理。基于多维模型建立省级集中的电网专利信息库,实现专利地图多维可视化分析功能,并基于J2EE技术标准和SOA面向服务的技术路线搭建平台,实现可扩展的数据服务技术架构。系统平台通过专利综合检索、专利地图展现、专利多维统计分析等功能,能够让电网企业省、地、县三级科技管理部门及普通用户了解到企业专利的动态信息,平台提供的功能能够极大地提高专利主管部门的工作效率,帮助企业用户获取各类专利资源信息和分析指引。
【Abstract】 Patent is the largest technical information source in the world,and the content of patent literature contains most of the new technical information in the world.The number of patent applications and authorization has become one of the important indicators to measure the speed and level of scientific and technological development of a country or an enterprise.Through the effective analysis and application of patent information,the R & D cost of related products can be greatly reduced.For a country or an enterprise,patent is an important strategic resource with both economic value and technical value.Power grid enterprises pay more and more attention to scientific and technological innovation,combined with their own technological research and development advantages,a large number of patent information has been formed inside the enterprise.Therefore,power grid enterprises need to use information technology to establish a complete set of patent map analysis and management platform for power grid enterprises to carry out patent retrieval and technical analysis in professional fields,guide enterprise research and development direction,and improve enterprise’s technology competitive advantage in the future.In this paper,through the analysis of the actual needs of provincial power grid enterprises,research on the existing patent map drawing methods,combined with the research status at home and abroad,based on the provincial power grid enterprise internal information system operation environment,design and implementation of a multi-dimensional analysis visualization patent map platform managed by the enterprise science and Technology Department,open to ordinary enterprise users.The platform is mainly composed of five modules: power grid patent information patent maintenance,patent information comprehensive retrieval,patent map display,patent multidimensional statistical analysis,user rights management,etc.The implementation steps of "multi-dimensional analysis visualization patent map platform" are as follows: collecting patent basic information through crawler and manual input,forming a localized patent information database for enterprises,and realizing centralized and unified management of patent information of provincial power grid.Based on the multi-dimensional model,the provincial centralized power grid patent information database is established to realize the multi-dimensional visualization analysis function of patent map,and the platform is built based on J2 EE technology standard and SOA service-oriented technology route to realize the extensible data service technology architecture.Through the realization of patent comprehensive retrieval,patent map display,patent multi-dimensional statistical analysis and other functions,the provincial,prefectural and county-level science and technology management departments of power grid enterprises and ordinary users can understand the dynamic information of enterprise patents.The functions provided by the platform can greatly improve the work efficiency of patent management departments,and help enterprise users obtain all kinds of patent resource information and analysis guidelines.
【Key words】 Power Grid Enterprises; Patent Map Platform; Visualization; Multidimensional Data Analysis;
- 【网络出版投稿人】 贵州大学 【网络出版年期】2022年 05期
- 【分类号】G255.53;TM73
- 【下载频次】39