德国专利申请流程详解

本文详细介绍了德国发明专利、实用新型专利和外观设计专利的申请流程,包括准备文件、提交申请、受理、审查、授权等关键步骤,帮助读者了解德国专利申请的完整过程。

一、德国发明专利申请流程

准备德国专利申请文件→提交德国专利申请→受理→形式审查→公布→实审请求→实质审查→授权和公告


1.准备德国专利申请文件;

2.向德国专利商标局提交德国专利申请;

3.德国专利商标局发出受理通知书;

4.德国专利商标局对专利格式和明显的实质性缺陷等方面进行审查;

5.德国专利申请将在自申请日(优先权日)起18个月届满公布;

6.德国专利申请人可以在申请日起七年内提出实质审查请求;

7.德国专利商标局对专利进行了实质性审查,德国专利申请人需要对审查意见通知作出回复;

8.如果德国专利申请符合法律要求,德国专利商标局授予该发明专利权并公布授权的专利。


二、德国实用新型专利申请流程

准备德国专利申请文件→提交德国专利申请→受理→形式审查→授权和公告

1.准备德国专利申请文件;

2.向德国专利商标局提交德国专利申请;

3.德国专利商标局发出受理通知书

4.德国专利商标局对专利格式和明显的实质性缺陷等方面进行审查;

5.如果德国专利申请符合法律要求,德国专利商标局授予该发明专利权并公布授权的专利。


三、德国外观设计专利申请流程

准备德国专利申请文件→提交德国专利申请→受理→审查→授权和公告

1.准备德国专利申请文件;

2.向德国专利商标局提交德国专利申请;

3.德国专利商标局发出受理通知书;

4.德国专利商标局审查该德国专利申请;

5.如果德国专利申请符合法律要求,德国专利商标局会为该德国专利申请授予德国外观设计专利并公布授权。



1. German patent application process for invention

Preparation of German patent application documents → submission of German patent application → acceptance → formal review → publication → request for trial → substantive review → authorization and announcement

 

1. Preparation of German patent application documents ;

2. Submit German patent applications to the German Patent and Trademark Office ;

3.German Patent and Trademark Office issued acceptance notice ;

4. The German Patent and Trademark Office reviews the patent format and apparent substantive deficiencies ;

5. German patent applications will be published at the end of 18 months from the date of application ( priority date ) ;

6. A German patent applicant may submit a request for substantive review within seven years from the date of application ;

7.The German Patent and Trademark Office has carried on the substantive examination to the patent, the German patent applicant needs to reply to the examination opinion notification ;

8. If the German patent application complies with the legal requirements, the German Patent and Trademark Office grants the invention patent and publishes the authorized patent.

 

2. Patent application process for utility models in Germany

Preparation of German patent application documents → submission of German patent application → acceptance → formal review → authorization and announcement

1. Preparation of German patent application documents ;

2. Submit German patent applications to the German Patent and Trademark Office ;

3. Notification of acceptance issued by the German Patent and Trademark Office

4. The German Patent and Trademark Office reviews the patent format and apparent substantive deficiencies ;

5. If the German patent application meets the legal requirements, the German Patent and Trademark Office grants the invention patent and publishes the authorized patent.


3.German design patent application process

Preparation of German patent application documents → submission of German patent application → acceptance → review → authorization and announcement

1. Preparation of German patent application documents ;

2. Submit German patent applications to the German Patent and Trademark Office ;

3.German Patent and Trademark Office issued acceptance notice ;

( 4 ) The German Patent and Trademark Office examines the German patent application ;

5. If the German patent application meets the legal requirements, the German Patent and Trademark Office shall grant the German design patent and publish the authorization for the German patent application.

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(Kriging_NSGA2)克里金模型结合多目标遗传算法求最优因变量及对应的最佳自变量组合研究(Matlab代码实现)内容概要:本文介绍了克里金模型(Kriging)与多目标遗传算法NSGA-II相结合的方法,用于求解最优因变量及其对应的最佳自变量组合,并提供了完整的Matlab代码实现。该方法首先利用克里金模型构建高精度的代理模型,逼近复杂的非线性系统响应,减少计算成本;随后结合NSGA-II算法进行多目标优化,搜索帕累托前沿解集,从而获得多个最优折衷方案。文中详细阐述了代理模型构建、算法集成流程及参数设置,适用于工程设计、参数反演等复杂优化问题。此外,文档还展示了该方法在SCI一区论文中的复现应用,体现了其科学性与实用性。; 适合人群:具备一定Matlab编程基础,熟悉优化算法和数值建模的研究生、科研人员及工程技术人员,尤其适合从事仿真优化、实验设计、代理模型研究的相关领域工作者。; 使用场景及目标:①解决高计算成本的多目标优化问题,通过代理模型降低仿真次数;②在无法解析求导或函数高度非线性的情况下寻找最优变量组合;③复现SCI高水平论文中的优化方法,提升科研可信度与效率;④应用于工程设计、能源系统调度、智能制造等需参数优化的实际场景。; 阅读建议:建议读者结合提供的Matlab代码逐段理解算法实现过程,重点关注克里金模型的构建步骤与NSGA-II的集成方式,建议自行调整测试函数或实际案例验证算法性能,并配合YALMIP等工具包扩展优化求解能力。
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