Annual fee monitoring system applied to intellectual property patent

Abstract

The invention discloses an intellectual property patent annual fee monitoring system, and the system carries out the comprehensive evaluation of a preprocessed patent annual fee payment record through a pre-constructed prediction model, and extracts the payment record of a patent in X years before a current time point from the patent annual fee payment record. Arranging each group of extracted payment records according to a time sequence to obtain a time sequence set, performing analysis to obtain a trend ratio, an average annual growth rate and a composite growth rate, and comprehensively considering the change conditions of patent annual fees under different time scales by combining the payment trend ratio, the average annual growth rate and the composite growth rate, so as to improve the payment efficiency. And according to the annual fee trend evaluation index of the patent, predicting the annual fee amount of the patent in a future set age limit, thereby realizing in-depth analysis and accurate prediction of the annual fee change trend.

Description

Technical Field

[0001] The present invention relates to the technical field of intellectual property management, and in particular to an annual fee monitoring system for intellectual property patents. Background Art

[0002] The patent annual fee monitoring system in the existing technology has many defects and cannot meet the increasingly complex patent management needs, including: Most of them only provide a simple annual fee reminder function, lacking in-depth analysis and accurate prediction of annual fee change trends, which makes it difficult for the right holder to make financial plans, and thus makes the patent invalid due to insufficient budget; In addition, the multi-dimensional characteristics of patent value have not been fully considered, and the annual fee monitoring strategy cannot be flexibly adjusted according to the dynamic changes in patent value, which makes it difficult for enterprises to achieve efficient allocation of resources in the patent management process.

[0003] To this end, a patent annual fee monitoring system for intellectual property rights was launched. Summary of the invention

[0004] In view of this, the present invention provides an annual fee monitoring system for intellectual property patents to solve the problems raised by the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved by the following technical solution: applied to an intellectual property patent annual fee monitoring system, including: Data collection module: obtain patent-related data, including basic patent information and patent annual fee payment records, and pre-process the obtained relevant data before sending it to the intelligent analysis module; Intelligent analysis module: Use the pre-built prediction model to conduct a comprehensive evaluation of the pre-processed patent annual fee payment records, thereby obtaining the patent annual fee trend evaluation index qs; Budget suggestion module: Based on the patent annual fee trend assessment index qs, the annual fee amount of the patent in the future set period is predicted. After the prediction is completed, the patent annual fee payment record is further analyzed to determine the buffer amount corresponding to the annual predicted annual fee amount of the patent in the future set period; Strategy adjustment module: obtain the value parameters of the patent, conduct a comprehensive analysis to obtain the patent's potential value evaluation index qu, and adjust the priority and reminder frequency of annual fee monitoring based on the patent's potential value evaluation index qu; the value parameters include market potential value g1, patent value score g2 and expert feedback index g3.

[0006] In some embodiments, a pre-built prediction model is used to comprehensively evaluate the pre-processed patent annual fee payment records, specifically: Extract the patent payment records X years before the current time point from the patent annual fee payment records; where X>5; arrange each group of payment records extracted in chronological order to obtain a time series set; After obtaining the time series set, a moving average period n is preset, and the payment records in the time series set are calculated according to the preset moving average period n; after the payment records of the previous X years are calculated, the payment assessment value of each group is obtained; Arrange the payment assessment values ​​of each group in the order of calculation. After the arrangement is completed, calculate the difference between the payment assessment values ​​of two adjacent groups, that is, the payment assessment value on the right of the two adjacent groups minus the payment assessment value on the left; If the calculated difference between two adjacent groups of payment assessment values ​​is a negative value, the group difference is marked as payment reduction; if the calculated difference between two adjacent groups of payment assessment values ​​is a positive value, the group difference is marked as payment appreciation; Sum up all the premium appreciation and premium depreciation respectively, thus obtaining the sum appreciation and sum depreciation, and pass Calculate to obtain the payment trend ratio z1; If the calculated payment trend ratio z1 is greater than 1, the average annual growth rate of the payment assessment values ​​of each group is calculated, that is, by calculating the growth rate of the payment assessment values ​​of two adjacent groups, using The calculation is performed using the formula, where R represents the growth rate of the payment assessment value of each adjacent group. Indicates the payment assessment value on the right side of the two adjacent groups. It represents the payment assessment value on the left side of the two adjacent groups, and then the growth rates of each group are averaged to obtain the average annual growth rate z2; At the same time, using the formula Calculate the payment assessment value of each group to obtain the compound growth rate z3; It indicates the payment assessment value at the end of each group of payment assessment values. It represents the first and last payment assessment values ​​in each group of payment assessment values, and n represents the number of payment assessment values.

[0007] In some embodiments, the annual fee trend evaluation index qs of the patent is obtained, specifically: Extract the payment trend ratio z1, average annual growth rate z2 and compound growth rate z3 calculated by the patent, normalize them and enter them into the formula A weighted calculation is performed to obtain the patent's annual fee trend evaluation index qs, where a1, a2 and a3 are the impact weight factors of the payment trend ratio z1, the average annual growth rate z2 and the compound growth rate z3, respectively.

[0008] In some embodiments, the annual fee amount of the patent in the future set period is predicted, specifically: Extract the most recent payment record of the patent from the patent annual fee payment record, and extract the payment amount as the basic amount; Multiply the basic amount by the annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the next payment; Based on the estimated annual fee amount of the patent in the next payment, the annual fee trend assessment index qs is updated. After the update is completed, the estimated annual fee amount of the patent in the next payment is multiplied by the updated annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the second year in the future. Similarly, the estimated annual fee amount of the patent in each year within the set number of years in the future is obtained.

[0009] In some embodiments, the buffer amount corresponding to the predicted annual fee amount of the patent in the future set period is determined, specifically: Extract the patent's payment records X years before the current time point from the patent annual fee payment records, and use the standard deviation formula to calculate the payment amount corresponding to each group of payment records, so as to obtain the historical annual fee fluctuation value of the patent; The average payment amount corresponding to each group of payment records is calculated to obtain the average payment value, and the ratio between the average payment value and the historical annual fee fluctuation value is calculated to obtain the fluctuation coefficient k1, which is calculated by the average payment value / historical annual fee fluctuation value; Extract the estimated annual fee amount output by the prediction model for the patent X years before the current time point, compare the estimated annual fee amount output by each group of prediction models with the payment amount of the corresponding group of payment records, calculate the difference between the estimated annual fee amount output and the payment amount in the same year, calculate the proportion of each group of differences in the corresponding payment amount after the calculation is completed, and obtain the fluctuation proportion, calculate the mean of the fluctuation proportion of each group, and thus obtain the fluctuation mean k2; The patent's fluctuation coefficient k1 and fluctuation mean k2 are normalized and then entered into the formula. The amount buffer index qe is obtained by weighted calculation; b1 and b2 are the impact weight factors of the volatility coefficient k1 and the volatility mean k2 respectively; Multiply the estimated annual fee amount of the patent in each of the future set years by the amount buffer index qe to obtain the buffer amount corresponding to the predicted annual fee amount of the patent in the future set years.

[0010] In some embodiments, the value parameters of the patent are obtained and comprehensively analyzed, specifically: Obtain the field in which the current patent is located, set the market potential values ​​corresponding to different fields, output the field in which the current patent is located into a pre-built database for matching, and thus obtain the market potential value g1 of the current patent; Obtain the remaining effective protection period of the current patent, preset the range of values ​​for each group of terms corresponding to the effective protection period, and set each group of term value ranges to correspond to a patent value score; match the remaining effective protection period of the current patent with the preset range of values ​​for each group of terms, thereby obtaining the patent value score g2 of the current patent;

[0011] The current patent is sent to the pre-built expert evaluation unit. After receiving it, the expert evaluation unit sends the current patent to the email address of the cooperating expert. After receiving the current patent via the email address, the cooperating expert evaluates the current patent and feeds back the expert evaluation score to the expert evaluation unit. The average of the expert evaluation scores fed back by each cooperating expert is calculated to obtain the expert feedback index g3 of the current patent.

[0012] In some embodiments, the potential value evaluation index qu of the patent is obtained, specifically: After normalizing the current patent's market potential value g1, patent value score g2, and expert feedback index g3, substitute them into the formula A weighted calculation is performed to obtain the potential value evaluation index qu of the current patent; wherein c1, c2 and c3 are the influencing weight factors of the market potential value g1, the patent value score g2 and the expert feedback index g3 respectively.

[0013] In some embodiments, the priority and reminder frequency of annual fee monitoring are adjusted according to the potential value assessment index qu of the patent. Specifically, after obtaining the value assessment index qu of each patent, the patents are sorted from large to small according to the size of the potential value assessment index qu, and different priorities and reminder frequencies are set corresponding to different sorting positions, and different priorities and reminder frequencies are set according to the sorting positions of the corresponding patents.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention uses a pre-built prediction model to comprehensively evaluate the pre-processed patent annual fee payment records, extracts the patent's payment records X years before the current time point from the patent annual fee payment records, arranges each group of payment records extracted in chronological order to obtain a time series set, and analyzes them to obtain a trend ratio, an average annual growth rate, and a compound growth rate. By combining the payment trend ratio, the average annual growth rate, and the compound growth rate, the change of the patent annual fee at different time scales is comprehensively considered, and according to the patent's annual fee trend evaluation index, the annual fee amount of the patent in the future set period is predicted, thereby achieving in-depth analysis and accurate prediction of the annual fee change trend; The present invention obtains the buffer amount by multiplying the estimated annual fee amount each year by the amount buffer index, which provides a more reasonable fund preparation guide for the right holder to pay the patent annual fee within the future set period. The buffer amount determined in this way can better cope with the situation where the annual fee may be higher than expected, reduce the risk of patent invalidation due to insufficient budget, and ensure the continuous and effective maintenance of patent assets; By incorporating multi-dimensional value parameters such as market potential value, remaining effective protection period of the patent and expert feedback, the present invention can more comprehensively and objectively evaluate the potential value of the patent, thereby solving the problem that the prior art does not consider the multi-dimensional characteristics of patent value and cannot flexibly adjust strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0016] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0017] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0018] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0019] See also Figure 1 As shown, it is applied to the intellectual property patent annual fee monitoring system, including data collection module, intelligent analysis module, budget suggestion module and strategy adjustment module; The data collection module is used to obtain patent-related data from the pre-built internal management system of the right holder. The relevant data includes basic patent information and patent annual fee payment records. The obtained relevant data is pre-processed and sent to the intelligent analysis module; the pre-processing includes data cleaning to remove erroneous or incomplete data, and data standardization to unify data in different formats into a format that can be processed by the system, and standardize the date format; Establish connections with the patent office databases of various countries through network interfaces, and use authorized APIs to obtain patent data in the prescribed data format; use data import tools to extract data from the right holder's internal management system; The intelligent analysis module is used to use the pre-built prediction model to comprehensively evaluate the pre-processed patent annual fee payment records, thereby obtaining the patent annual fee trend evaluation index qs; Specifically: Extract the patent payment records X years before the current time point from the patent annual fee payment records; where X>5, the specific value is set by the technical staff; arrange each group of payment records extracted in chronological order to obtain a time series set; After obtaining the time series set, a moving average period n is preset, where n=3; the payment records in the time series set are calculated according to the preset moving average period n; that is, the average value of every 3 consecutive payment records is calculated; after the payment records of the previous X years are calculated, the payment assessment value of each group is obtained; For example, the values ​​of patent annual fee data in the past five years are 100, 120, 130, 140, and 150. When n=3, the calculated moving averages are 116.67, 130, 140, etc.; Arrange the payment assessment values ​​of each group in the order of calculation. After the arrangement is completed, calculate the difference between the payment assessment values ​​of two adjacent groups, that is, the payment assessment value on the right of the two adjacent groups minus the payment assessment value on the left; If the calculated difference between two adjacent groups of payment assessment values ​​is a negative value, the group difference is marked as payment reduction; if the calculated difference between two adjacent groups of payment assessment values ​​is a positive value, the group difference is marked as payment appreciation; Sum up all the premium appreciation and premium depreciation respectively, thus obtaining the sum appreciation and sum depreciation, and pass Calculate to obtain the payment trend ratio z1; If the calculated payment trend ratio z1 is greater than 1, the average annual growth rate of the payment assessment values ​​of each group is calculated, that is, by calculating the growth rate of the payment assessment values ​​of two adjacent groups, using The calculation is performed using the formula, where R represents the growth rate of the payment assessment value of each adjacent group. Indicates the payment assessment value on the right side of the two adjacent groups. It represents the payment assessment value on the left side of the two adjacent groups, and then the growth rates of each group are averaged to obtain the average annual growth rate z2; The average annual growth rate can directly reflect the growth rate of patent annual fees over a longer period of time. Combined with the payment trend ratio, it can more accurately grasp the stability and strength of the trend. At the same time, using the formula Calculate the payment assessment value of each group to obtain the compound growth rate z3; It indicates the payment assessment value at the end of each group of payment assessment values. It represents the first and last payment assessment values ​​in each group of payment assessment values, and n represents the number of payment assessment values; The compound growth rate reflects the long-term growth potential of annual patent fees; Extract the payment trend ratio z1, average annual growth rate z2 and compound growth rate z3 calculated by the patent, normalize them and enter them into the formula Perform weighted calculation to obtain the patent annual fee trend evaluation index qs; where a1, a2 and a3 are the impact weight factors of the payment trend ratio z1, the average annual growth rate z2 and the compound growth rate z3 respectively; It should be noted that by combining the payment trend ratio z1, the average annual growth rate z2 and the compound growth rate z3, the changes in patent annual fees at different time scales are comprehensively considered. The payment trend ratio reflects the direction and relative strength of the increase or decrease trend of the annual fee, the average annual growth rate focuses on reflecting the relatively stable year-on-year growth rate, and the compound growth rate highlights the long-term growth potential. This multi-dimensional comprehensive evaluation can more comprehensively portray the development trend of patent annual fees.

[0020] The budget suggestion module is used to predict the annual fee amount of the patent in the future set period according to the patent annual fee trend evaluation index qs. After the prediction is completed, the patent annual fee payment record is further analyzed to determine the buffer amount corresponding to the annual predicted annual fee amount of the patent in the future set period; The annual fee amount of the patent in the future set period is predicted, specifically: Extract the most recent payment record of the patent from the patent annual fee payment record, and extract the payment amount as the basic amount; Multiply the basic amount by the annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the next payment; Based on the estimated annual fee amount of the patent in the next payment, the annual fee trend assessment index qs is updated. After the update is completed, the estimated annual fee amount of the patent in the next payment is multiplied by the updated annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the second year in the future. Similarly, the estimated annual fee amount of the patent in each year within the set number of years in the future is obtained; It should be noted that by extracting the most recent payment amount from the patent annual fee payment record as the basis, historical data information is fully utilized; at the same time, the annual fee trend evaluation index qs is combined for prediction, and the historical situation of patent annual fees and development trends are organically combined; this makes the prediction results not only based on static historical data, but also reflects the dynamic trend of annual fees over time, which improves the scientificity and rationality of the prediction; The annual fee trend assessment index qs is updated annually based on the estimated annual fee amount of the previous year, and the estimated annual fee amount of the next year is calculated based on this index. This dynamic update mechanism can better adapt to the changes in patent annual fees that may occur in different periods of time, such as changes in annual fees caused by factors such as patent technology development, intensified market competition or policy adjustments, thereby more accurately predicting the annual fee amounts of future years.

[0021] Determine the buffer amount corresponding to the annual fee amount predicted for the patent in the future set period, specifically: Extract the patent's payment records X years before the current time point from the patent annual fee payment records, and use the standard deviation formula to calculate the payment amount corresponding to each group of payment records, so as to obtain the historical annual fee fluctuation value of the patent; The average payment amount corresponding to each group of payment records is calculated to obtain the average payment value, and the ratio between the average payment value and the historical annual fee fluctuation value is calculated to obtain the fluctuation coefficient k1, which is calculated by the average payment value / historical annual fee fluctuation value; Extract the estimated annual fee amount output by the prediction model for the patent X years before the current time point, compare the estimated annual fee amount output by each group of prediction models with the payment amount of the corresponding group of payment records, calculate the difference between the estimated annual fee amount output and the payment amount in the same year, calculate the proportion of each group of differences in the corresponding payment amount after the calculation is completed, and obtain the fluctuation proportion, calculate the mean of the fluctuation proportion of each group, and thus obtain the fluctuation mean k2; The patent's fluctuation coefficient k1 and fluctuation mean k2 are normalized and then entered into the formula. The amount buffer index qe is obtained by weighted calculation; b1 and b2 are the impact weight factors of the volatility coefficient k1 and the volatility mean k2 respectively; Multiply the estimated annual fee amount of the patent in the future set period by the amount buffer index qe to obtain the buffer amount corresponding to the predicted annual fee amount of the patent in the future set period; It should be noted that the buffer amount obtained by multiplying the estimated annual fee amount each year by the amount buffer index provides a more reasonable financial preparation guidance for the right holder to pay the patent annual fee within the set number of years in the future; the buffer amount determined in this way can better cope with the situation where the annual fee may be higher than expected, reduce the risk of patent expiration due to insufficient budget, and ensure the continuous and effective maintenance of patent assets.

[0022] The strategy adjustment module is used to obtain the value parameters of the patent, and conduct a comprehensive analysis to obtain the potential value evaluation index qu of the patent, and adjust the priority and reminder frequency of annual fee monitoring according to the potential value evaluation index qu of the patent; the value parameters include market potential value g1, patent value score g2 and expert feedback index g3; Specifically: Obtain the field in which the current patent is located, set the market potential values ​​corresponding to different fields according to the real-time market demand, output the field in which the current patent is located into the pre-built database for matching, and thus obtain the market potential value g1 of the current patent; The market potential value g1 is set between 1 and 10 and is a positive integer. The higher the value, the higher the market demand. Obtain the remaining effective protection period of the current patent, preset the range of values ​​for each group of terms corresponding to the effective protection period, and set each group of term value ranges to correspond to a patent value score; the patent value score range is set to 1-10, and the higher the effective protection period, the higher the corresponding patent value score; match the remaining effective protection period of the current patent with the preset range of values ​​for each group of terms, so as to obtain the patent value score g2 of the current patent; The current patent is sent to the pre-built expert evaluation unit. After receiving the patent, the expert evaluation unit sends the current patent to the email address of the cooperative expert. After receiving the current patent via the email address, the cooperative expert evaluates the current patent and feeds back the expert evaluation score to the expert evaluation unit. The expert evaluation score fed back by each cooperative expert is averaged to obtain the expert feedback index g3 of the current patent. The expert evaluation score range is set between 1 and 10. The higher the score, the higher the expert's recognition of the potential of the current patent. After normalizing the current patent's market potential value g1, patent value score g2, and expert feedback index g3, substitute them into the formula Perform weighted calculation to obtain the potential value evaluation index qu of the current patent; where c1, c2 and c3 are the impact weight factors of the market potential value g1, the patent value score g2 and the expert feedback index g3 respectively; After obtaining the value evaluation index qu of each patent, the patents are sorted from large to small according to the size of the potential value evaluation index qu, and different priorities and reminder frequencies are set for different sorting positions, and different priorities and reminder frequencies are set according to the sorting positions of the corresponding patents; It should be noted that by incorporating multi-dimensional value parameters such as market potential, remaining effective protection period of the patent and expert feedback, the potential value of the patent can be evaluated more comprehensively and objectively; this comprehensive evaluation method avoids the limitation of relying on only a single factor to evaluate the value of the patent, so that the evaluation results can more accurately reflect the true value of the patent from the market, legal and professional perspectives.

[0023] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Applied to the intellectual property patent annual fee monitoring system, characterized by: include: Data collection module: obtain patent-related data, including basic patent information and patent annual fee payment records, and pre-process the obtained relevant data before sending it to the intelligent analysis module; Intelligent analysis module: Use the pre-built prediction model to conduct a comprehensive evaluation of the pre-processed patent annual fee payment records, thereby obtaining the patent annual fee trend evaluation index qs; Budget suggestion module: Based on the patent annual fee trend assessment index qs, the annual fee amount of the patent in the future set period is predicted. After the prediction is completed, the patent annual fee payment record is further analyzed to determine the buffer amount corresponding to the annual predicted annual fee amount of the patent in the future set period; Strategy adjustment module: obtain the value parameters of the patent, conduct a comprehensive analysis to obtain the potential value evaluation index qu of the patent, and adjust the priority and reminder frequency of annual fee monitoring according to the potential value evaluation index qu of the patent; the value parameters include market potential value g1, patent value score g2 and expert feedback index g3; Obtain the patent's value parameters and conduct a comprehensive analysis, specifically: Obtain the field in which the current patent is located, set the market potential values ​​corresponding to different fields, output the field in which the current patent is located into a pre-built database for matching, and thus obtain the market potential value g1 of the current patent; Obtain the remaining effective protection period of the current patent, preset the range of values ​​for each group of terms corresponding to the effective protection period, and set each group of term value ranges to correspond to a patent value score; match the remaining effective protection period of the current patent with the preset range of values ​​for each group of terms, thereby obtaining the patent value score g2 of the current patent; The current patent is sent to the pre-built expert evaluation unit. After receiving it, the expert evaluation unit sends the current patent to the email address of the cooperating expert. After receiving the current patent via the email address, the cooperating expert evaluates the current patent and feeds back the expert evaluation score to the expert evaluation unit. The average of the expert evaluation scores fed back by each cooperating expert is calculated to obtain the expert feedback index g3 of the current patent.

2. The system for monitoring annual patent fees for intellectual property rights according to claim 1 is characterized in that: Use the pre-built prediction model to conduct a comprehensive evaluation of the pre-processed patent annual fee payment records, specifically: Extract the patent payment records X years before the current time point from the patent annual fee payment records; where X>5; arrange each group of payment records extracted in chronological order to obtain a time series set; After obtaining the time series set, a moving average period n is preset, and the payment records in the time series set are calculated according to the preset moving average period n; after the payment records of the previous X years are calculated, the payment assessment value of each group is obtained; Arrange the payment assessment values ​​of each group in the order of calculation. After the arrangement is completed, calculate the difference between the payment assessment values ​​of two adjacent groups, that is, the payment assessment value on the right of the two adjacent groups minus the payment assessment value on the left; If the calculated difference between two adjacent groups of payment assessment values ​​is a negative value, the group difference is marked as payment reduction; if the calculated difference between two adjacent groups of payment assessment values ​​is a positive value, the group difference is marked as payment appreciation; Sum up all the premium appreciation and premium depreciation respectively, thus obtaining the sum appreciation and sum depreciation, and pass Calculate to obtain the payment trend ratio z1; If the calculated payment trend ratio z1 is greater than 1, the average annual growth rate of the payment assessment values ​​of each group is calculated, that is, by calculating the growth rate of the payment assessment values ​​of two adjacent groups, using The calculation is performed using the formula, where R represents the growth rate of the payment assessment value of each adjacent group. Indicates the payment assessment value on the right side of the two adjacent groups. It represents the payment assessment value on the left side of the two adjacent groups, and then the growth rates of each group are averaged to obtain the average annual growth rate z2; At the same time, using the formula Calculate the payment assessment value of each group to obtain the compound growth rate z3; It indicates the payment assessment value at the end of each group of payment assessment values. It represents the first and last payment assessment values ​​in each group of payment assessment values, and n represents the number of payment assessment values.

3. The system for monitoring annual patent fees for intellectual property rights according to claim 2 is characterized in that: The patent annual fee trend assessment index qs is obtained, specifically: Extract the payment trend ratio z1, average annual growth rate z2 and compound growth rate z3 calculated by the patent, normalize them and enter them into the formula A weighted calculation is performed to obtain the patent's annual fee trend evaluation index qs, where a1, a2 and a3 are the impact weight factors of the payment trend ratio z1, the average annual growth rate z2 and the compound growth rate z3, respectively.

4. The system for monitoring annual patent fees for intellectual property rights according to claim 3 is characterized in that: The annual fee amount of the patent in the future set period is predicted, specifically: Extract the most recent payment record of the patent from the patent annual fee payment record, and extract the payment amount as the basic amount; Multiply the basic amount by the annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the next payment; Based on the estimated annual fee amount of the patent in the next payment, the annual fee trend assessment index qs is updated. After the update is completed, the estimated annual fee amount of the patent in the next payment is multiplied by the updated annual fee trend assessment index qs to obtain the estimated annual fee amount of the patent in the second year in the future. Similarly, the estimated annual fee amount of the patent in each year within the set number of years in the future is obtained.

5. The system for monitoring annual patent fees for intellectual property rights according to claim 4 is characterized in that: Determine the buffer amount corresponding to the annual fee amount predicted for the patent in the future set period, specifically: Extract the patent's payment records X years before the current time point from the patent annual fee payment records, and use the standard deviation formula to calculate the payment amount corresponding to each group of payment records, so as to obtain the historical annual fee fluctuation value of the patent; The average payment amount corresponding to each group of payment records is calculated to obtain the average payment value, and the ratio between the average payment value and the historical annual fee fluctuation value is calculated to obtain the fluctuation coefficient k1, which is calculated by the average payment value / historical annual fee fluctuation value; Extract the estimated annual fee amount output by the prediction model for the patent X years before the current time point, compare the estimated annual fee amount output by each group of prediction models with the payment amount of the corresponding group of payment records, calculate the difference between the estimated annual fee amount output and the payment amount in the same year, calculate the proportion of each group of differences in the corresponding payment amount after the calculation is completed, and obtain the fluctuation proportion, calculate the mean of the fluctuation proportion of each group, and thus obtain the fluctuation mean k2; The patent's fluctuation coefficient k1 and fluctuation mean k2 are normalized and then entered into the formula. The amount buffer index qe is obtained by weighted calculation; b1 and b2 are the impact weight factors of the volatility coefficient k1 and the volatility mean k2 respectively; Multiply the estimated annual fee amount of the patent in each of the future set years by the amount buffer index qe to obtain the buffer amount corresponding to the predicted annual fee amount of the patent in the future set years.

6. The system for monitoring annual patent fees for intellectual property rights according to claim 1, characterized in that: The potential value evaluation index qu of the patent is obtained, which is: After normalizing the current patent's market potential value g1, patent value score g2, and expert feedback index g3, substitute them into the formula A weighted calculation is performed to obtain the potential value evaluation index qu of the current patent; wherein c1, c2 and c3 are the influencing weight factors of the market potential value g1, the patent value score g2 and the expert feedback index g3 respectively.

7. The system for monitoring annual patent fees for intellectual property rights according to claim 1 is characterized in that: The priority and reminder frequency of annual fee monitoring are adjusted according to the potential value evaluation index qu of the patent. Specifically, after obtaining the value evaluation index qu of each patent, the patents are sorted from large to small according to the size of the potential value evaluation index qu, and different priorities and reminder frequencies are set corresponding to different sorting positions, and different priorities and reminder frequencies are set according to the sorting positions of the corresponding patents.

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