高速硅基光收发模块封装技术激光器专利数据

对高速硅基光收发模块封装技术激光器相关专利进行质量等级评价，能够梳理出本领域优质专利，可以为企业的技术引进提供指引；对优质专利进行技术拆解分析，可以为企业攻克技术难题提供启示以及规避重复研发风险；对优质专利进行统计分析，能够梳理出企业在本领域存在竞合关系的专利申请主体。1、数据采集：通过第三方知识产权检索平台，对高速硅基光收发模块封装技术激光器相关专利进行检索，去除不属于分析范围的专利数据、有缺失（影响分析）的数据、重复数据等噪音数据。
2、数据处理：对专利的多个维度进行评分，根据评分总分将专利质量分成5个等级，即完成专利质量等级评价，具体评价方法为。
根据评价维度对应的数值进行打分，打分越高表示越好，打分范围为0至最高分，评价的具体维度和该维度对应的总分为：剩余有效年限（20）、简单同族成员数量（10）、IPC分类数量（5）、引用专利数量（5）、被引用专利数量（5）、文献页数（20）、权利要求数（35）；统计打分总分，根据总分将专利分成5个质量等级：0-19分（差）、20-39分（较差）、40-59分（一般）、60-79分（较好）、80-100分（好）。

This study conducts quality grading evaluation on patents related to lasers in the field of high-speed silicon-based optical transceiver module packaging technology. The results can identify high-quality patents in this domain, providing guidance for enterprises' technology introduction initiatives. Technical disassembly analysis of these high-quality patents can offer insights for enterprises to tackle technical challenges and avoid redundant R&D risks. Statistical analysis of high-quality patents can also identify patent applicants with competitive-cooperative relationships in this field for enterprises.

1. Data Collection
Patents related to lasers in high-speed silicon-based optical transceiver module packaging technology are retrieved via third-party intellectual property retrieval platforms. Noisy data is then eliminated, including patents outside the specified analysis scope, data with missing values that compromise analysis, and duplicate records.

2. Data Processing
Patents are scored across multiple dimensions, and patent quality is classified into 5 levels based on the total score, thus completing the patent quality grading evaluation. The specific evaluation method is as follows:
Scores are assigned according to the values of each evaluation dimension, with higher scores indicating better patent quality. The scoring range spans from 0 to the maximum score of each dimension. The specific evaluation dimensions and their corresponding maximum scores are:
- Remaining valid years (20)
- Number of simple patent family members (10)
- Number of IPC classifications (5)
- Number of cited patents (5)
- Number of citing patents (5)
- Number of document pages (20)
- Number of claims (35)
The total score is calculated, and patents are divided into 5 quality levels based on the total score: 0-19 (Poor), 20-39 (Relatively Poor), 40-59 (Average), 60-79 (Relatively Good), 80-100 (Excellent).

搜集汇总

背景与挑战

背景概述

该数据集针对高速硅基光收发模块封装技术激光器相关专利，通过多维度评分（如剩余有效年限、权利要求数等）将专利质量划分为五个等级，旨在识别优质专利以支持企业技术引进、规避研发风险并分析竞合关系。数据经过采集和清洗处理，确保分析的有效性和准确性。