Demand for precise evaluation and in-depth analysis of patent technology value has become increasingly urgent with the accelerated iteration of innovation, while existing patent platforms primarily focus on surface-level bibliographic information, offering limited support for understanding the technological value and evolutionary trajectories of patents. Hence, we develop PatentMerit, a comprehensive system for in-depth analysis of the value of patents, based on large language models, network analysis, and data mining techniques. PatentMerit features five core functionalities, including multidimensional patent classification retrieval, disruptive technology identification, citation network and technology evolution visualization, topic semantic analysis, and automated comprehensive report generation. Its core strength lies in transcending single data element analysis to conduct in-depth exploration, such as accurate technology assessment of individual patents and their technological clusters, which reduces the cognitive and operational burden for R&D personnel. PatentMerit serves as an intelligent decision-making tool for technology trend forecasting, R&D decision-making, and patent strategy planning. The PatentMerit system is accessible via the following link: https://patentmerit.com/.