ZYIP helps optical detection enterprises build a patent risk database, resolving the problems of research and development bottlenecks and risk warnings.

2025-11-19
I. Case Introduction
An optical detection instrument company has long faced the predicament of insufficient patent risk warning and repeated technical bottlenecks during the research and development process. ZYIP has built a research and development risk database and a dictionary of bottleneck problems by establishing a patent classification and categorization system. This has resulted in the creation of customized research and development tools. This solution has significantly enhanced the efficiency of research and development and the ability to manage risks, shortening the average project cycle and greatly improving the comprehensiveness and accuracy of patent infringement risk warnings. 


II. Case Details 
1. Customer type/Industry
An enterprise specializing in the research and manufacturing of optical inspection instruments, focusing on technological innovation and product development of precision equipment. 


2. Customer Pain Points/Problem Descriptions
(1) During the research and development process, neglecting patent risks often led to project halting in the middle, resulting in waste of resources;
(2) Frequent encounters with technical bottlenecks such as "insufficient lens stabilization accuracy" and "data transmission delay" led to low research and development efficiency;
(3) Lack of a systematic risk warning mechanism and problem solution library restricted innovation capabilities. 


3. Solutions and Process
(1) Establish a patent classification and categorization system
A systematic analysis was conducted on the patents in the "optical detection instrument" field over the past 10 years. They were classified into three levels based on the degree of risk impact:
Level 1: High-risk patents covering core technologies, with high infringement risks;
Level 2: Patents related to auxiliary supporting technologies, with moderate risks but affecting product launch;
Level 3: Patents related to future development directions, with lower risks but requiring avoidance of imitation. 


(2) Establish a dictionary of research and development bottlenecks 
Through a thorough review of 17 R&D projects over the past three years, 28 frequent bottleneck issues were identified;
An issue dictionary of "technology type + occurrence scenario + bottleneck problem" was established to achieve precise correlation between patent information and R&D issues. 



(3) Establish a dual-library system to support R&D decision-making 
Research and development risk database: Offers functions such as technical feature matching search, legal status tracking, and project correlation warning;
Bottleneck problem resolution library: Links available patent technologies and solutions, providing reference for breakthrough paths. 



4. Achievements/Results
(1) Significant improvement in R&D efficiency: The cycle for solving similar technical issues has been shortened by 60%;
(2) Enhanced risk management capabilities: The comprehensiveness and accuracy of patent infringement risk warnings have significantly improved;
(3) Abundant innovative achievements: Based on the new discovered security technical points and breakthrough solutions for bottlenecks in the new tool, 20 new patents have been applied for, and all of them are closely tied to the R&D requirements;
(4) Clear R&D direction: The customized tool enables the R&D team to advance the project in a clear technical direction. 


III. Case Significance
This case has pioneered a new model of driving research and development innovation through patent big data analysis. By establishing a systematic risk warning and problem-solving mechanism, it not only effectively avoided patent infringement risks, but also provided the research and development team with continuous innovation tools support. This "data-driven research" innovation methodology offers replicable successful experiences for the upgrading of research and development management in the precision equipment industry and the entire manufacturing sector, fully demonstrating the core value of intellectual property in the construction of an enterprise's innovation system.
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