Method and system for dynamically evaluating technology maturity based on patent data and medium

Abstract

The invention belongs to the field of patent value evaluation, and provides a technology maturity dynamic evaluation method based on patent data. Comprising the steps of collecting patent data related to a target technology from a multi-patent database; performing multi-dimensional analysis on the patent data, and evaluating the maturity of the target technology from different angles; the target technology maturity index is calculated in a weighted mode, and target technology maturity reference is provided for decision making. According to the method, patent data can be effectively utilized to evaluate the technology maturity, and objective, accurate, comprehensive and dynamic support is provided for technology research and development and decision making.

Description

Background Art

[0002] With the rapid development of science and technology, how to scientifically and objectively evaluate the maturity of technology has become one of the concerns of scientific research institutions and enterprises. Existing technology maturity evaluation methods generally rely on expert experience, resulting in a highly subjective evaluation method. In addition, the data source of existing technology maturity evaluation methods is relatively single, lacking comprehensive analysis of multi-dimensional technology data, and difficult to adapt to the modern needs of complex and multi-field technology integration. At this stage, there is an urgent need for a system that can comprehensively and dynamically reflect the maturity of technology, based on a wider and more reliable data source, and can be updated in real time.

[0003] Patents, as an important manifestation of technological innovation, contain rich technical information. However, there is no effective technology maturity evaluation system and method based on patent data that can objectively, accurately and dynamically reflect the maturity level of technology. The present invention aims to provide a dynamic technology maturity evaluation system and method based on patent data to overcome the shortcomings of the prior art. Summary of the invention

[0004] The purpose of the present invention is to provide a dynamic evaluation system and method for technology maturity based on patent big data. Through the real-time collection and analysis of multi-dimensional patent data, the system can automatically, objectively and efficiently evaluate the maturity level of the target technology. By introducing multiple data dimensions such as the number of patent citations and the number of patent families, this system breaks through the limitations of existing technology maturity evaluation methods and provides more accurate data support for technology development and decision-making of scientific research institutions and enterprises.

[0005] The present invention solves the problem of strong subjectivity and single data source in the prior art of technology maturity evaluation, and provides an objective and accurate technology maturity evaluation method based on patent data. It includes:

[0006] Collect patent data related to the target technology from multiple patent databases;

[0007] Conduct multi-dimensional analysis of patent data and evaluate the maturity of target technologies from different perspectives;

[0008] The target technology maturity index is calculated by weighted method to provide a reference for target technology maturity for decision making.

[0009] Further, the method comprises:

[0010] The target technology maturity evaluation results are presented in chart form, and a detailed analysis report is provided.

[0011] Further, the method comprises:

[0012] When the target technology maturity index exceeds or falls below the set threshold, a warning signal is issued.

[0013] Furthermore, the patent data includes: patent name, patent applicant, patent application date, patent authorization date, patent classification number, patent abstract, number of patent citations, number of patent claims, and number of patent families.

[0014] Furthermore, the multi-dimensional analysis includes:

[0015] Patent quantity trend analysis: Sort the collected patent data by application time, count the number of patents applied for and authorized each year and draw a curve, and judge the target technology development stage based on the trend of the curve;

[0016] Analysis of patent applicants: Classify patent applicants according to the innovation entities they belong to, count the number and proportion of different types of patents, analyze the industry background and target technology strength, and determine the market acceptance and maturity of the target technology;

[0017] Distribution analysis in technical fields: Classify patents according to different technical fields, count the number of patents in each field and analyze their application. Determine the cross-field application potential and the degree of integration of target technologies through the distribution of patent numbers;

[0018] Patent citation analysis: Count the number of patent citations, analyze the citation sources of frequently cited patents, and evaluate the importance and trends of target technologies.

[0019] Patent family analysis: Count the number of patent families, analyze the country / region distribution of high-frequency patent families, and evaluate the market layout and commercial value of the target technology.

[0020] Furthermore, the weighted calculation of the target technology maturity index adopts the Delphi method or the hierarchical analysis method.

[0021] Furthermore, the calculation formula of the target technology maturity index is:

[0022] Target technology maturity index = patent quantity trend score × weight 1 + applicant analysis score × weight 2 + technology field distribution score × weight 3 + patent citation analysis score × weight 4 + patent family analysis score × weight 5.

[0023] Furthermore, the warning signal is sent to the user via at least one of email, text message, and system pop-up window.

[0024] The present invention also provides a technology maturity dynamic evaluation system based on patent data, which is characterized by comprising:

[0025] Data collection module: used to collect patent data related to the target technology from multiple patent databases;

[0026] Data analysis module: used to conduct multi-dimensional analysis of patent data and evaluate the maturity of target technology from different perspectives;

[0027] Technology maturity calculation module: used to weightedly calculate the target technology maturity index and provide a reference for target technology maturity for decision-making.

[0028] Furthermore, the system comprises:

[0029] Result display module: displays the target technology maturity evaluation results in the form of charts and provides a detailed analysis report.

[0030] Furthermore, the system comprises:

[0031] Early warning module: When the target technology maturity index exceeds or falls below the set threshold, an early warning signal is issued.

[0032] The present invention also provides a computer-readable storage medium, characterized in that a computer program is stored on the storage medium, and when the computer program is executed by a processor, the dynamic evaluation method of technology maturity based on patent data is implemented.

[0033] Compared with the prior art, the present invention has the following advantages:

[0034] 1. The present invention uses patent data to evaluate the maturity of technology, avoiding the influence of subjective factors, and the evaluation results are more objective and accurate.

[0035] 2. The present invention analyzes the technology from multiple aspects, including patent quantity trend, patent applicant analysis, technical field distribution, patent citation times, number of patent families, etc., and the evaluation results are more comprehensive and systematic.

[0036] 3. The present invention can collect patent data in real time, dynamically evaluate the maturity of technology, and promptly reflect the development and changes of technology.

[0037] 4. The present invention has an early warning function, which can timely remind users to pay attention to technological development trends and provide strong support for technological research and development and decision-making.

[0038] In summary, the patent-based technology maturity evaluation system of the present invention can effectively use patent data to evaluate technology maturity and provide objective, accurate, comprehensive and dynamic support for technology research and development and decision-making.

[0039] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A flowchart of a method for dynamically evaluating technology maturity based on patent data provided in an embodiment of the present invention is shown;

[0042] Figure 2 A schematic diagram showing the workflow of a dynamic evaluation system for technology maturity based on patent data provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1 As shown, this embodiment provides a dynamic evaluation system for technology maturity based on patent data, including:

[0045] S1: Collect patent data related to the target technology from multiple patent databases.

[0046] Using web crawler technology and big data analysis platform, we can automatically and efficiently collect patent data related to the target technology from multiple domestic and foreign patent databases. The collected data includes but is not limited to patent name, patent applicant, patent application date, patent authorization date, patent classification number, patent abstract, number of patent citations, number of patent claims, number of patent families, etc. Through data interface and real-time update mechanism, we can ensure the timeliness and integrity of the data. We can screen the collected data and remove irrelevant patents. We can only keep patents closely related to the target technology field.

[0047] S2: Conduct multi-dimensional analysis of patent data and evaluate the maturity of target technologies from different perspectives.

[0048] Conduct in-depth analysis of the collected patent data. This includes patent quantity trend analysis, patent applicant analysis, technology field distribution analysis, patent citation analysis, patent family analysis, etc. The specific algorithm and data processing flow of each analysis method are implemented in the system to ensure the accuracy of the analysis results. This method is mainly responsible for multi-dimensional analysis of the collected patent data to evaluate the maturity of the target technology. The analysis of each dimension is as follows:

[0049] (1) Patent quantity trend analysis: Sort the collected patent data by application time, count the number of patents applied for and authorized each year and draw a curve, and judge the target technology development stage based on the trend of the curve.

[0050] By counting the number of patent applications and the number of patents granted in each year, we can draw a technology development trend curve and evaluate the technology development stage. For example, if the number of patents is rising rapidly, it means that the technology is in the development stage; if it tends to be stable, it may enter the mature stage.

[0051] (2) Analysis of patent applicants: Classify patent applicants according to the innovation entities to which they belong, count the number and proportion of different types of patents, analyze the industry background and target technology strength, and determine the market acceptance and maturity of the target technology.

[0052] Innovation subjects refer to social organizations or individuals that have subjective initiative in innovation activities, can invest knowledge, technology, human, material and financial resources to carry out creative activities, thereby achieving innovative results, and are responsible for the innovation process and its results, such as universities, research institutions, enterprises, etc.

[0053] Classify patent applicants according to the innovation entities they belong to; count the number and proportion of patent applicants of different types, evaluate the degree of commercialization of the technology and the cooperation between industry, academia and research; analyze the industry background and technical strength of patent applicants, and determine the acceptance and maturity of the technology in the market. For example, if many well-known companies participate in patent applications, it means that the technology has attracted market attention and may be more mature.

[0054] (3) Analysis of distribution in technical fields: Patents are classified according to different technical fields, the number of patents in each field is counted and the application situation is analyzed. The cross-field application potential and the degree of integration of target technologies can be judged by the distribution of the number of patents.

[0055] Classify patents by technical field and count the number of patents in each technical field. Draw a distribution map of technical fields to understand the application of target technologies in different fields and the degree of technical integration. For example, if the technology has a wide range of application fields, it means that the technology is highly mature.

[0056] (4) Patent citation analysis: Count the number of patent citations, analyze the citation sources of frequently cited patents, and evaluate the importance and trends of target technologies.

[0057] Count the number of times each patent is cited; analyze the sources of these patents and judge the influence of the technology in related fields; evaluate the importance of the technology and future development trends through the analysis of highly cited patents. For example, if the cited patents come from multiple different technical fields, it means that the technology has a high cross-field application value.

[0058] (5) Patent family analysis: Patent family analysis: Count the number of patent families, analyze the country / region distribution of high-frequency patent families, and evaluate the market layout and commercial value of the technology.

[0059] Statistics on the number and distribution of patent families; analysis of the distribution countries or regions of patent families to determine the global market layout and influence of the technology. For example, if there are a large number of patent families, it means that the technology has a wide protection scope and high market expectations; if patent families are mainly concentrated in developed countries and regions, it means that the technology has great application potential and market demand in these regions.

[0060] Through the combination of multiple analysis methods, the maturity of the technology is comprehensively and systematically evaluated. Each analysis method provides in-depth insights into the development status, market acceptance, application breadth and influence of the technology from a different perspective, providing solid data support for the final technology maturity evaluation.

[0061] S3: Weighted calculation of target technology maturity index to provide a reference for target technology maturity for decision-making.

[0062] Based on the data analysis results, the technology maturity index is calculated using a preset algorithm. The algorithm comprehensively considers factors such as the trend in the number of patents, analysis of patent applicants, distribution of patent technology fields, number of patent citations, number of patent families, and assigns weights to each factor. The weights can be determined using methods such as the Delphi method and the analytic hierarchy process. Each factor is quantitatively scored. For example, the trend in the number of patents is divided into several levels, each with a different score. The calculation formula for the technology maturity index is:

[0063] Target technology maturity index = patent quantity trend score × weight 1 + applicant analysis score × weight 2 + technology field distribution score × weight 3 + patent citation analysis score × weight 4 + patent family analysis score × weight 5.

[0064] The weighted calculation process of technology maturity calculation is described as follows:

[0065] Patent quantity trend score: Scored based on the time trend of the number of patents, reflecting the development speed of technology at different stages. This score is associated with a weight of 1.

[0066] Patent applicant analysis score: Score based on the type (such as universities, research institutions, enterprises) and number of patent applicants to evaluate the degree of commercialization and market acceptance of the technology. This score is associated with weight 2.

[0067] Patent technology field distribution score: Scoring is based on the distribution and application breadth of the technology in different fields, reflecting the cross-field application potential and integration degree of the technology. This score is associated with a weight of 3.

[0068] Patent citation analysis score: Scores the number of patent citations and citation sources to evaluate the importance and influence of the technology. This score is associated with a weight of 4.

[0069] Patent family analysis score: Evaluates the market presence and commercial value of a technology based on the number of patent families and country / region distribution. This score is associated with a weight of 5.

[0070] Weighted sum:

[0071] The above five analysis scores are multiplied by their corresponding weights (weight 1, weight 2, weight 3, weight 4, weight 5) respectively.

[0072] Add up all weighted scores to get a comprehensive technology maturity index.

[0073] The technology maturity index calculated by weighted summation reflects the overall maturity of the target technology and provides decision support for research institutions and enterprises. The core of this method is to obtain an objective technology maturity index through multi-dimensional analysis and weighted calculation to help evaluate the market potential and development prospects of the technology.

[0074] S4: Display the target technology maturity evaluation results in the form of charts and provide a detailed analysis report.

[0075] The results of the technology maturity evaluation are presented in an intuitive chart form, including technology maturity curves, radar charts, etc., and a detailed analysis report is provided. The report explains the basis and meaning of the evaluation results. For example, if the technology maturity rises rapidly, it may mean that new competitors have entered the market; if it declines, the development prospects of the technology need to be re-evaluated.

[0076] S5: When the target technology maturity index exceeds or falls below the set threshold, a warning signal is issued.

[0077] Set the warning threshold. When the technology maturity index reaches or exceeds the warning threshold, a warning signal is issued. The setting of the warning threshold can be adjusted according to the specific situation. For example, the warning threshold can be determined according to factors such as the development stage of the technology and market demand. The warning signal can be sent to users through emails, text messages, system pop-ups, etc. to remind users to pay attention to the development of technology. Users can adjust technology research and development and decision-making strategies in a timely manner based on the warning signal. Figure 2 As shown, the system architecture of this embodiment starts with selecting the target technical field, then selecting a patent database, implementing a web crawler and data interface operations, and finally acquiring and storing patent data.

[0078] This embodiment also provides a technology maturity dynamic evaluation system based on patent data, including:

[0079] Data collection module: used to collect patent data related to the target technology from multiple patent databases;

[0080] Data analysis module: used to conduct multi-dimensional analysis of patent data and evaluate the maturity of target technology from different perspectives;

[0081] Technology maturity calculation module: used to calculate the target technology maturity index by weight and provide a reference for target technology maturity for decision-making;

[0082] Result display module: displays the target technology maturity evaluation results in the form of charts and provides a detailed analysis report;

[0083] Early warning module: When the target technology maturity index exceeds or falls below the set threshold, an early warning signal is issued.

[0084] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for dynamically evaluating technology maturity based on patent data is implemented.

[0085] Example 1: Taking new material technology as an example, firstly, through the data collection module, the patent data related to new material technology in the past ten years is automatically collected from multiple databases such as the State Intellectual Property Office of China, the European Patent Office, and the United States Patent and Trademark Office. Through the data analysis module, the system conducts a comprehensive analysis of the patent quantity trend, the type of patent applicants, the distribution of technical fields, the number of patent citations, and the number of patent families, and obtains a maturity index of 82 for this technical field, indicating that the technology is in a rapid development stage. Through the early warning module, when the system detects a rapid increase in the number of citations of a key patent, it issues an early warning signal for a potential technological breakthrough.

[0086] Example 2: For a manufacturing company, patent data related to manufacturing technology is obtained from the USPTO database through the data collection module. Analysis shows that the number of patents in this field has been relatively small in recent years, and the applicants are mainly small and medium-sized enterprises. According to the analysis results, the technology maturity index is 45, indicating that the technology may be in the late maturity or decline stage. The result display module recommends that the company consider technology upgrades or transformations, and provides specific suggestions in the report. The early warning module is set to monitor the rapid decline in technology maturity and issue an alarm when emerging alternative technologies are detected.

[0087] In summary, this system has been put into practical use in technology research and development enterprises, helping enterprises predict the development prospects of technology and providing strong support for technology research and development decisions. The technology maturity evaluation system based on patents in this invention can make full use of the advantages of patent data, provide users with objective, accurate and dynamic technology maturity evaluation, and provide strong support for technology decision-making of enterprises and scientific research institutions.

[0088] The above description and the accompanying drawings fully illustrate the embodiments of the present invention so that those skilled in the art can practice them. Other embodiments may include structural and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The embodiments of the present invention are not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A dynamic evaluation method for technology maturity based on patent data, characterized in that: include: Collect patent data related to the target technology from multiple patent databases; Conduct multi-dimensional analysis of patent data and evaluate the maturity of target technologies from different perspectives; The target technology maturity index is calculated by weighted method to provide a reference for target technology maturity for decision making.

2. The method for dynamic evaluation of technology maturity based on patent data according to claim 1 is characterized in that: The method comprises: The target technology maturity evaluation results are presented in chart form, and a detailed analysis report is provided.

3. The method for dynamic evaluation of technology maturity based on patent data according to claim 2 is characterized in that: The method comprises: When the target technology maturity index exceeds or falls below the set threshold, a warning signal is issued.

4. The method for dynamic evaluation of technology maturity based on patent data according to claim 1 is characterized in that: The patent data include: patent name, patent applicant, patent application date, patent authorization date, patent classification number, patent abstract, number of patent citations, number of patent claims, and number of patent families.

5. The method for dynamic evaluation of technology maturity based on patent data according to claim 1 is characterized in that: The multi-dimensional analysis includes: Patent quantity trend analysis: Sort the collected patent data by application time, count the number of patents applied for and authorized each year and draw a curve, and judge the target technology development stage based on the trend of the curve; Analysis of patent applicants: Classify patent applicants according to the innovation entities they belong to, count the number and proportion of different types of patents, analyze the industry background and target technology strength, and determine the market acceptance and maturity of the target technology; Distribution analysis in technical fields: Classify patents according to different technical fields, count the number of patents in each field and analyze their application. Determine the cross-field application potential and the degree of integration of target technologies through the distribution of patent numbers; Patent citation analysis: count the number of patent citations, analyze the citation sources of frequently cited patents, and evaluate the importance and trends of target technologies Patent family analysis: Count the number of patent families, analyze the country / region distribution of high-frequency patent families, and evaluate the market layout and commercial value of the target technology.

6. The method for dynamic evaluation of technology maturity based on patent data according to claim 1, characterized in that: The weighted calculation of the target technology maturity index adopts the Delphi method or the hierarchical analysis method.

7. The method for dynamic evaluation of technology maturity based on patent data according to claim 6 is characterized in that: The calculation formula of the target technology maturity index is: Target technology maturity index = patent quantity trend score × weight 1 + applicant analysis score × weight 2 + technology field distribution score × weight 3 + patent citation analysis score × weight 4 + patent family analysis score × weight 5.

8. The method for dynamic evaluation of technology maturity based on patent data according to claim 3 is characterized in that: The warning signal is sent to the user via at least one of email, text message, and system pop-up window.

9. A dynamic evaluation system for technology maturity based on patent data, characterized in that: include: Data collection module: used to collect patent data related to the target technology from multiple patent databases; Data analysis module: used to conduct multi-dimensional analysis of patent data and evaluate the maturity of target technology from different perspectives; Technology maturity calculation module: used to weightedly calculate the target technology maturity index and provide a reference for target technology maturity for decision-making.

10. The technology maturity dynamic evaluation system based on patent data according to claim 9 is characterized in that: The system comprises: Result display module: displays the target technology maturity evaluation results in the form of charts and provides a detailed analysis report.

11. The technology maturity dynamic evaluation system based on patent data according to claim 10 is characterized in that: The system comprises: Early warning module: When the target technology maturity index exceeds or falls below the set threshold, an early warning signal is issued.

12. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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