Abstract:In the context of building a strong intellectual property country in the new era, the demand for intellectual property management in universities is increasing. This paper aims to explore and construct a patent quality evaluation model and conduct empirical research, in order to provide useful insights for university research management and improve the efficiency of patent transfer and transformation. By combining existing research on patent quality evaluation, a multidimensional patent quality evaluation system was constructed, and the full amount of Chinese patent data was calculated using this model. Based on the overall score data, a patent quality grading strategy was formulated. Taking the 42 universities involved in the "Double First-Class" initiative as research objects, a patent quality evaluation dataset was created and their patents were evaluated, and the high-efficiency patent quality grading data were analyzed. Using patent examiner citation data, the university patent quality grading data and patent H-index were verified, and the correlation between university patent H-index and patent quality grading in this study was explored. Through empirical analysis, the patent quality evaluation model constructed in this study has certain validity and convenience in university patent quality grading management. Under certain conditions, the university patent quality grading performance in this study is basically in line with university rankings and H-index performance. Due to the self-limitation of H-index, when comparing universities with significantly different patent data volumes, using the grading data in this study is relatively reasonable, which can avoid simply relying on the quantity of patents for judgment and provide some reference for university grading management work.