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A Method for Patent Mining and Its Application in Innovation of High-Altitude Cleaning Robot

Chaoan Lai, Xingbin Guan, Xionghui Wen

Year
2017
Citations
3

Abstract

Background: Due to the recent surge in high-rise buildings and airport truss, demands for high-altitude cleaning have become more and more strident, bringing many opportunities and much potential for the development of the industry. The technology insufficient of current patents of high-altitude cleaning robot causes difficulty in obstacle climbing and balance adjusting, and generates high costs. Patent analysis is an important tool for industry planning and technique forecasting. As one of the methods of patent analysis, data mining will be of high priority. Keywords: Data mining, high-altitude cleaning, knowledge map, multi-dimension analysis, patent analysis, TRIZ.

Keywords

ObstacleTRIZPatent analysisDimension (graph theory)RobotComputer scienceRisk analysis (engineering)BusinessArtificial intelligenceData science

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