Patent value evaluation system and evaluation method thereof

Abstract

The invention discloses a patent value evaluation system, and relates to the technical field of patent value evaluation, and the system comprises a data collection module which is used for collecting multi-dimensional data related to patents; the data preprocessing module is used for carrying out preprocessing operations such as cleaning, denoising and normalization on the collected data; the evaluation index calculation module is used for calculating each index value of patent value evaluation according to the preprocessed data; the value comprehensive evaluation module is used for comprehensively evaluating the value of the patent by adopting an analytic hierarchy process and a fuzzy comprehensive evaluation method; and the output module is used for outputting the evaluation result of the patent value degree in a visual form. A perfect evaluation index system is constructed from the four dimensions of technology, law, market and economy, various factors influencing the patent value are comprehensively considered, and the problem that an existing method is single in evaluation index is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of patent value assessment, and in particular to a patent value assessment system and an assessment method thereof. Background Art

[0002] In the field of intellectual property, patents, as important innovative achievements, have crucial value assessments for patent transactions, corporate decision-making, and technological research and development. However, existing patent value assessment methods suffer from numerous shortcomings. For example, evaluation indicators are incomplete, failing to fully consider the multiple technical, legal, market, and economic dimensions of patents. Evaluation algorithms are unscientific, resulting in low accuracy and reliability. Furthermore, the lack of dynamic evaluation and real-time updates of patent value makes it difficult to adapt to rapidly changing market environments and technological development trends. Therefore, a more comprehensive and scientific patent value assessment system and its associated evaluation methods are urgently needed. Summary of the Invention

[0003] The purpose of the present invention is to provide a patent value evaluation system and evaluation method in order to solve the above problems.

[0004] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0005] A patent value evaluation system, comprising:

[0006] The data collection module is used to collect multi-dimensional data related to the patent;

[0007] The data preprocessing module is used to perform preprocessing operations such as cleaning, denoising, and normalization on the collected data;

[0008] The evaluation index calculation module is used to calculate the various index values ​​of patent value evaluation based on the preprocessed data;

[0009] The value comprehensive evaluation module is used to comprehensively evaluate the value of the patent using the hierarchical analysis method and the fuzzy comprehensive evaluation method;

[0010] The output module is used to output the evaluation results of the patent value in a visual form.

[0011] Preferably, the multi-dimensional data includes technical information, legal information, market information and economic information of the patent.

[0012] Preferably, the technical information includes technical fields, technical innovations, technical parameters, and technical maturity; the legal information includes patent application date, authorization date, patent owner, patent claims, patent specification, and patent litigation status; the market information includes patent application fields, market demand conditions, market competition situation, and market sales of related products; the economic information includes patent R&D costs, patent implementation costs, and patent licensing fees.

[0013] Preferably, the evaluation indicators include technical dimension indicators, legal dimension indicators, market dimension indicators and economic dimension indicators.

[0014] Preferably, the technical dimension indicators include technological innovation, technological stability, and technological advancement; the legal dimension indicators include rights stability, protection scope, and remaining validity period; the market dimension indicators include market application prospects, market competitive advantages, and market demand intensity; and the economic dimension indicators include expected returns, R&D costs, and implementation costs.

[0015] Preferably, the analytic hierarchy process includes establishing a hierarchical structure model, constructing a judgment matrix, calculating a weight vector, and performing a consistency test; and the fuzzy comprehensive evaluation method includes determining a fuzzy evaluation matrix and performing a fuzzy comprehensive evaluation.

[0016] The present invention also provides a patent value evaluation method, which includes the following steps: data collection, using a data collection module to collect multi-dimensional data of the patent; data preprocessing, using a data preprocessing module to preprocess the collected data; evaluation index calculation, using an evaluation index calculation module to calculate the value of each evaluation index; value comprehensive evaluation, using the value comprehensive evaluation module to adopt hierarchical analysis method and fuzzy comprehensive evaluation method to perform comprehensive evaluation; result output, outputting the evaluation result through an output module.

[0017] Preferably, the collection of the multi-dimensional data includes obtaining data from multiple data sources such as patent databases, internal enterprise databases, and market research institution databases.

[0018] Preferably, the step of determining weights by the analytic hierarchy process includes inviting domain experts to compare each element pairwise to construct a judgment matrix, solving the eigenvector of the judgment matrix to obtain the weight vector and performing a consistency test.

[0019] Preferably, the step of determining the fuzzy evaluation matrix by the fuzzy comprehensive evaluation method includes determining the membership of each evaluation index relative to different evaluation levels according to its value, constructing the fuzzy evaluation matrix and performing a synthesis operation with the weight vector to obtain a comprehensive evaluation result.

[0020] In summary, the beneficial effects of the present invention are:

[0021] Comprehensive evaluation indicators: A complete evaluation indicator system has been constructed from the four dimensions of technology, law, market and economy, comprehensively considering various factors affecting the value of patents, overcoming the problem of single evaluation indicators in existing methods.

[0022] Scientific evaluation algorithm: It adopts a method combining hierarchical analysis method and fuzzy comprehensive evaluation method, which not only takes into account the relative importance of each indicator, but also can deal with the ambiguity and uncertainty in the evaluation process, thereby improving the accuracy and reliability of the evaluation results.

[0023] Dynamic evaluation capability: The system can collect and update relevant patent data in real time, realize dynamic evaluation of patent value, adapt to the rapidly changing market environment and technological development trends, and provide users with timely and accurate decision-making basis. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without inventive effort are within the scope of protection of the present invention.

[0025] The present invention provides a patent value evaluation system, comprising:

[0026] Data Collection Module: This module uses web crawler technology to collect patent-related data from multiple data sources, including patent databases (such as the China National Intellectual Property Administration's patent database and the European Patent Office's patent database), internal corporate databases, and databases of market research institutions. For example, for patent technical information, technical innovations and technical parameters can be extracted from the patent specification and claims. For legal information, information such as the patent application date, grant date, and patentee can be obtained. For market information, market sales of related products and information on competing companies can be collected. For economic information, data such as R&D costs and implementation costs can be obtained from the company's financial statements.

[0027] Data preprocessing module: During data cleaning, duplicate data can be removed using a data duplication detection algorithm; erroneous data can be corrected through logical verification and manual review. During data normalization, for numerical data, the min-max normalization method can be used to convert the data to values ​​within the [0, 1] range; for non-numeric data, such as the technical field of a patent, methods such as one-hot encoding can be used for conversion.

[0028] Evaluation Index Calculation Module: Taking the technological innovation indicator as an example, patent text mining technology is used to extract novel technical features from patents. These features are then compared with existing technologies. The ratio of the number of novel technical features to the number of similar features in existing technologies is calculated as the evaluation index for technological innovation. For the rights stability indicator, historical litigation data of patents can be analyzed to calculate the probability of patents being invalidated, which serves as the basis for evaluating rights stability.

[0029] Comprehensive Value Evaluation Module: In the Analytic Hierarchy Process (AHP), five domain experts conduct pairwise comparisons of each element in the criterion and indicator layers to construct a judgment matrix. For example, for the technical, legal, market, and economic dimensions of the criterion layer, if the experts believe the technical dimension is of importance 3 relative to the legal dimension (based on a 1-9 scale), the corresponding position in the judgment matrix is ​​assigned a value of 3, and vice versa. Weights for each criterion and indicator layer are then calculated by calculating the maximum eigenvalue and eigenvector of the judgment matrix. In the fuzzy comprehensive evaluation method, the evaluation levels are divided into high, medium, and low levels. The degree of membership of each evaluation indicator relative to each evaluation level is determined based on its value. For example, if the technical innovation indicator value is 0.8, its degree of membership in the high level is 0.7, its degree of membership in the medium level is 0.3, and its degree of membership in the low level is 0. After constructing the fuzzy evaluation matrix, it is combined with the weight vector to obtain a comprehensive evaluation result of the patent's value.

[0030] Output module: Outputs the evaluation results in the form of a report, which includes basic information about the patent, the values ​​and weights of each evaluation indicator, the overall evaluation results, and the evaluation grade. At the same time, the scores of each dimension indicator are displayed in the form of a chart, allowing users to intuitively understand the value performance of the patent in different dimensions.

[0031] A patent value evaluation method, comprising:

[0032] Data collection: For a specific invention patent, legal and technical information such as the patent's application date, authorization date, claims, and specifications are collected from the patent database of the State Intellectual Property Office of China; market information such as the market demand and market competition situation in the patent's application field is obtained from market research institutions; and economic information such as the patent's R&D costs and expected returns are obtained from within the enterprise.

[0033] Data preprocessing: Clean the collected legal information and remove duplicate patent documents; denoise the market demand data and use the moving average method to filter out short-term fluctuation noise; normalize economic data such as R&D costs and expected returns and convert them into a unified monetary unit and time base.

[0034] Evaluation index calculation: Calculate the technological advancement in the technical dimension indicators, compare the key technical parameters of the patent with the cutting-edge technologies in the same field, and calculate the leading degree index value of its technical parameters to be 0.9; calculate the remaining validity period in the legal dimension indicators. The application date of the patent is January 1, 2015, and the current time is April 29, 2025. The validity period of the invention patent right is 20 years, and the remaining validity period is 20-(2025-2015) = 10 years. The index value converted into years is 10 / 20 = 0.5; calculate the market application prospects in the market dimension indicators. According to market research data, the market demand growth rate in the field where the patent technology is located is 15%, and the index value is 0.8; calculate the expected benefits in the economic dimension indicators. The income method is used to predict that the present value of cash flow in the next five years is 5 million yuan, and the index value is 500 / 1000 = 0.5 (assuming the benchmark benefit is 10 million yuan).

[0035] Comprehensive Value Evaluation: Using the Analytic Hierarchy Process (AHP), the weights for the technical, legal, market, and economic dimensions were determined to be 0.3, 0.2, 0.3, and 0.2, respectively. The weights for each indicator layer were determined using the same method. A fuzzy evaluation matrix was then constructed. For a technological advancement index value of 0.9, the membership for the high level was 0.8, the membership for the medium level was 0.2, and the membership for the low level was 0. For a remaining validity period index value of 0.5, the membership for the medium level was 0.7, and the membership for the high and low levels was 0.2 and 0.1, respectively. Fuzzy evaluation matrices for other indicators were constructed in this manner. Finally, a fuzzy comprehensive evaluation was performed, resulting in a comprehensive value evaluation of 0.75 for this patent, giving it a high rating.

[0036] Result output: The evaluation results are output in the form of reports and charts. The reports list in detail the calculation process and results of each evaluation indicator, and the charts show the scores of each dimension indicator and the comprehensive evaluation results, providing users with comprehensive and intuitive patent value evaluation information.

[0037] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A patent value evaluation system, characterized in that: include: The data collection module is used to collect multi-dimensional data related to the patent; The data preprocessing module is used to perform preprocessing operations such as cleaning, denoising, and normalization on the collected data; The evaluation index calculation module is used to calculate the various index values ​​of patent value evaluation based on the preprocessed data; The value comprehensive evaluation module is used to comprehensively evaluate the value of the patent using the hierarchical analysis method and the fuzzy comprehensive evaluation method; The output module is used to output the evaluation results of the patent value in a visual form.

2. A patent value evaluation system according to claim 1, characterized in that: The multi-dimensional data includes technical information, legal information, market information and economic information of the patent.

3. A patent value evaluation system according to claim 2, characterized in that: The technical information includes technical fields, technical innovations, technical parameters, and technical maturity; the legal information includes patent application date, authorization date, patent owner, patent claims, patent specification, and patent litigation status; the market information includes patent application fields, market demand, market competition situation, and market sales of related products; the economic information includes patent R&D costs, patent implementation costs, and patent licensing fees.

4. The patent value evaluation system according to claim 1, characterized in that: The evaluation indicators include technical dimension indicators, legal dimension indicators, market dimension indicators and economic dimension indicators.

5. A patent value evaluation system according to claim 4, characterized in that: The technical dimension indicators include technological innovation, technological stability, and technological advancement; the legal dimension indicators include rights stability, protection scope, and remaining validity period; the market dimension indicators include market application prospects, market competitive advantages, and market demand intensity; the economic dimension indicators include expected returns, R&D costs, and implementation costs.

6. A patent value evaluation system according to claim 5, characterized in that: The hierarchical analysis method includes establishing a hierarchical structure model, constructing a judgment matrix, calculating a weight vector and performing a consistency test; The fuzzy comprehensive evaluation method includes determining a fuzzy evaluation matrix and performing fuzzy comprehensive evaluation.

7. A patent value evaluation method, characterized in that: The following steps are involved: Data collection: using the data collection module to collect multi-dimensional data of patents; Data preprocessing: preprocessing the collected data through the data preprocessing module; evaluation index calculation: using the evaluation index calculation module to calculate the value of each evaluation index; Comprehensive evaluation of value: use the comprehensive evaluation module of value to adopt hierarchical analysis method and fuzzy comprehensive evaluation method to conduct comprehensive evaluation; result output: output the evaluation results through the output module.

8. The patent value evaluation system according to claim 1, characterized in that: The collection of multi-dimensional data includes obtaining data from multiple data sources such as patent databases, internal enterprise databases, and market research institution databases.

9. The patent value evaluation method according to claim 7, characterized in that: The step of determining weights by the hierarchical analysis method includes inviting domain experts to compare each element pairwise to construct a judgment matrix, solving the eigenvector of the judgment matrix to obtain the weight vector and performing a consistency test.

10. The patent value evaluation method according to claim 7, characterized in that: The steps of determining the fuzzy evaluation matrix by the fuzzy comprehensive evaluation method include determining the membership of each evaluation index relative to different evaluation levels according to its value, constructing the fuzzy evaluation matrix and performing synthesis operation with the weight vector to obtain a comprehensive evaluation result.