Value estimation platform system and method for assisting patent transaction

Abstract

The invention relates to a value pre-estimation platform system and method for assisting patent transaction, and the system carries out the learning of intra-field transaction data, technical transaction data and all patent basic data, carries out the evaluation of the value of a patent in each dimension in the data learning, and carries out the scoring of the actual value of a to-be-evaluated patent through combining with the experience of an expert, thereby achieving the evaluation of the value of the to-be-evaluated patent. The value of the patent to be evaluated is estimated, and the value of the patent is reflected comprehensively and objectively. And jointly forming a patent value evaluation result through the actual market transaction value and the patent basic information weight. Compared with other platforms and methods, the system pays more attention to timeliness and accuracy of the patent value, and the value can be traced back.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and particularly to a value estimation platform system and method for assisting patent transactions. Background Art

[0002] With the rapid development of scientific and technological innovation, many enterprises in the initial stage of development generally face the dilemma of capital shortage. To alleviate this problem, major banks have gradually regarded intellectual property rights, especially patents, as one of the important bases for evaluating the value of enterprises, and provided loan support for small and medium-sized enterprises through the way of intellectual property pledge financing. However, the current evaluation of intellectual property value still mainly relies on offline manual operations. Evaluation personnel need to comprehensively consider multi-dimensional information to determine the overall value of patents. This process not only takes a lot of time and effort, but also lacks reference to the actual patent transaction data in the current market, resulting in limited timeliness and accuracy of the evaluation results. In addition, the cost of offline expert review is high and the efficiency is low, which is difficult to meet the growing demand for comprehensive evaluation of intellectual property value. Summary of the Invention

[0003] In view of the above problems, a value estimation platform system and method for assisting patent transactions are proposed, which are used to quickly calculate the patent value, and automatically generate an evaluation report through a server and a computer-readable medium, helping enterprises quickly understand the value of their own patents under the current market trend, and improving the accuracy and efficiency of the evaluation.

[0004] The technical solution of the present invention is as follows: A value estimation platform system for assisting patent transactions includes: An index calculation module for assisting in analyzing user transactions: learning through the in-field transaction data and technology transaction data in the first sample set to obtain an intellectual property transaction value estimate based on the actual transaction data in the current market; sending the patent to be evaluated into the index calculation module for assisting in analyzing user transactions to obtain an intellectual property transaction value estimate of the patent to be evaluated, and sending it into the patent value weight evaluation module based on the basic information of the patent; The patent value weight evaluation module based on the basic information of the patent: using the AHP (Analytic Hierarchy Process) method to determine the total weight W of all patent values combined with the scores of experts on the patent to be evaluated; The intellectual property transaction value P k of the patent to be evaluated is multiplied by the total weight W to obtain the value result of the patent to be evaluated; The patent value evaluation result display module: According to the value result of the patent to be evaluated, a display interface is designed using the FineReport tool for implementation in a computer program;

[0005] The first server includes: a first memory and a first processor. The first memory is used to store the first sample set data and processing results of the above-mentioned index calculation module for assisting in analyzing user transactions. The first processor is used to implement the steps of evaluating the intellectual property transaction value based on the actual current market transaction data in the index calculation module for assisting in analyzing user transactions.

[0006] The second server includes: a communication interface, a second memory, and a second processor. The communication interface is used to receive patent basic data from the global patent database. The second memory is used to store the second sample set data and processing results of the patent value weight evaluation module based on patent basic information. The second processor is used to implement the steps of the patent value weight and result based on patent basic information in the patent value weight evaluation module based on patent basic information.

[0007] A computer-readable storage medium includes a computer program. When the computer program is loaded onto a computer and executed by the computer, it causes the first server to execute the method for evaluating the patent value based on the actual current market patent transaction data in the index calculation module for assisting in analyzing user transactions, or causes the second server to execute the steps of the method for calculating the patent value weight and result based on patent basic information in the patent value weight evaluation module based on patent basic information, and execute the steps of the method for displaying the patent value evaluation result in the patent value evaluation result display module.

[0008] A method for estimating the value of assisting patent transactions learns the on-site transaction data, technology transaction data, and all patent basic data, evaluates the value of each dimension of the patent during data learning, and then combines the expert's empirical scoring of the patent's substantial value of the patent to be evaluated to estimate the value of the patent to be evaluated, comprehensively and objectively reflecting the value of the patent.

[0009] Further, the method for learning all the patent basic data: uses the AHP (Analytic Hierarchy Process) to determine the secondary index weights W under each dimension value of all patent values as the primary index ij , through the secondary index weight W ij calculate the primary index weight W i , W i and W ij are the first weights of all patents, used as the first weights of the patents to be evaluated. Among them, the patent application number, application date, patent name, applicant, current right holder, inventor, title, publication type, publication country, IPC classification, national economic industry classification, emerging industry classification, patent validity, current legal status, the above fields are the obtained patent basic data.

[0010] Further, the expert's empirical scoring of the patent's substantial value for the patent to be evaluated: Obtain the basic data for the patent evaluation score, including the number of inventors, the number of claims, the number of citations, the number of citations by foreign patents, the number of self-citations, the number of TRIZ parameters of technical effects, the number of family patents, the number of pages of cited literature, the duration of substantive examination, the number of litigations, whether it is confirmed after reexamination, the authorization period, the proportion of remaining authorization duration, the number of co-applicants, the number of transfers, the number of licenses, the number of pledges, the number of IPCs, the number of IPCs other than the main IPC classification, the number of national economic industries, and the number of emerging industries as scoring indicators. According to the scoring indicators, the expert scores the patent to be evaluated to obtain the secondary indicator score S ij .

[0011] Further, the value valuation of the patent to be evaluated: Through the secondary indicator score S ij and the weight W in the primary indicator of the patent to be evaluated ij , determine the secondary indicator score G of the patent to be evaluated ij ; According to the secondary indicator score G of the patent to be evaluated ij , calculate the primary indicator score G i ; According to the primary indicator score G of the patent to be evaluated i , corresponding to the primary indicator weight W i , calculate the primary indicator score D i ; According to the primary indicator score D of the patent to be evaluated i , calculate the total indicator score D; Divide the total indicator score D by 100 to obtain the total weight; Send the patent to be evaluated into the index calculation module for assisting in analyzing user transactions to obtain the intellectual property transaction value valuation of the patent to be evaluated; Multiply the intellectual property transaction value valuation by the total weight to finally determine the value result of the patent to be evaluated.

[0012] A method for evaluating the patent value weight based on patent basic information, using the AHP (Analytic Hierarchy Process) to calculate the first weights W i and W ij of the basic data fields of the patent to be evaluated; specifically as follows:

[0013] First step, confirm the classification of the primary indicators and secondary indicators, which are divided into 4 primary indicators and 20 secondary indicators in total. The primary indicators correspond to the weight W i , and the secondary indicators correspond to the weight W ij , where i is the serial number of the primary indicator and j is the serial number of the secondary indicator. The following is the table:

[0014]

[0015]

[0016] In the second step, the 1-9 scale method of Saaty is applied to respectively reflect the relative importance between the first-level indicators and the second-level indicators. According to the 1-9 scale method of Saaty, the second-level judgment matrix and the first-level judgment matrix are confirmed in the order of the second-level dimension first and then the first-level dimension. By calculating and comparing the maximum eigenvalue and its corresponding eigenvector of each second-level and first-level judgment matrix respectively, and conducting a consistency test for confirmation; after confirmation, the obtained second-level indicator eigenvector and first-level indicator eigenvector are normalized and used as the second-level indicator weight W ij and the first-level indicator weight W i ;

[0017] In the third step, according to the expert scoring method, the numerical values of the second-level indicators falling into each score interval are converted into the second-level indicator scores S ij , which are in the interval of [60, 150]. The specific scores of the second-level indicators are as follows in the table:

[0018]

[0019]

[0020]

[0021]

[0022] In the fourth step, according to the numerical values of the second-level indicators of the patent to be evaluated, the corresponding scores S ij and the second-level indicator weight W ij , the second-level indicator score G ij is calculated as follows:

[0023] G ij =S ij ×W ij

[0024] And according to the second-level indicator score G ij of the patent to be evaluated, the first-level indicator score G i is calculated as follows:

[0025]

[0026] In the fifth step, according to the score G i of the patent to be evaluated, the corresponding first-level indicator weight W i , the first-level indicator score D i is calculated as follows:

[0027] D i =G i ×W i

[0028] And according to the first-level indicator score D i of the patent to be evaluated, the total indicator score D is calculated:

[0029]

[0030] Step 6: Divide the primary indicator score of the patent to be evaluated by 100 to obtain the total weight W of the patent to be evaluated.

[0031] The beneficial effect of the present invention is that the value estimation platform system and method used to assist patent transactions of the present invention jointly constitutes the patent value evaluation result through the actual market transaction value and the weight of the basic patent information. Compared with other platforms and methods, this system pays more attention to the timeliness and accuracy of patent value, and can trace back the value. DETAILED DESCRIPTION

[0032] The present invention is described in detail below in conjunction with specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and a specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0033] The present invention provides a value estimation platform system for assisting patent transactions, comprising the following parts:

[0034] 1. An index calculation module for assisting in analyzing user transactions, which uses the on-site transaction data and technology transaction data in the first sample set to obtain an intellectual property transaction value valuation based on the current market actual transaction data through compound calculation.

[0035] The technology transactions are classified according to the technical field, national economic industry classification, subject type classification and contract type classification, as well as the on-site transaction data of technology transactions, and sent to the index calculation module for assisting the analysis of user transactions to obtain the transaction value and index of this technology transaction. The index calculation module for assisting the analysis of user transactions is based on the process of adding selected data to the original technology transaction data, and the data is collected according to the filtering mechanism to obtain stable and accurate data for the pre-processing data process, classify the selected data, call the algorithm in the calculation module, and calculate the data transaction value according to the classification logic calculation scheme. The specific implementation method of this part can be found in the index calculation system for assisting the analysis of user transactions and its monitoring method (CN202411170309.5).

[0036] 2. Patent value weight evaluation module based on patent basic information, for all patent basic data, use AHP hierarchical analysis method to determine the secondary indicator weight W of all patent values under each dimension value as the primary indicator ij , through the secondary indicator weight W ij Calculate the first-level indicator weight W i , W i and W ijThe first weight of all patents, as the first weight of the patent to be evaluated, and the second weight used to calculate the value of the patent to be evaluated, patent application number, application date, patent name, applicant, current right holder, inventor, title, disclosure type, disclosure country, IPC classification, national economic industry classification, emerging industry classification (if any), patent validity, current legal status, the patent basic data obtained by the above fields;

[0037] Obtain the second sample set, which is the basic data of the patent to be evaluated, including the specific number of inventors, number of claims, authorization cycle, number of patents in the same family and other scoring indicators. According to the scoring indicator experts, the patent to be evaluated is scored and the secondary indicator score S is obtained. ij , combined with the weight of the first-level index of the patent to be evaluated, W ij , determine the secondary indicator score G of the patent to be evaluated ij ; According to the secondary indicator score G of the patent to be evaluated ij , calculate the first-level index score G i ; According to the primary indicator score G of the patent to be evaluated i , corresponding to the first-level indicator weight W i , calculate the first-level indicator score D i ; According to the primary indicator score D of the patent to be evaluated i , calculate the total index score D; divide the total index score D by 100 to get the total weight; send the patent to be evaluated into the index calculation module used to assist in analyzing user transactions to obtain the intellectual property transaction value valuation of the patent to be evaluated; multiply the intellectual property transaction value valuation and the total weight to finally determine the value result of the patent to be evaluated.

[0038] The specific implementation methods of parts one and two are as follows:

[0039] In an embodiment of the present application, the basic data of the patent to be evaluated is obtained through the second sample set, and the fields include: patent application number, application date, patent name, applicant, current right holder, inventor, title, disclosure type, disclosure country, IPC classification, national economic industry classification, emerging industry classification (if any), patent validity, current legal status, and the above fields are basic patent information; number of inventors, number of claims, number of citations, number of citations by foreign patents, number of self-citations, number of technical efficacy TRIZ parameters, number of patents in the same family, number of pages of cited documents, substantive examination time, number of lawsuits, whether the right is confirmed after reexamination, authorization cycle, proportion of remaining authorization time, number of cooperative applicants, number of transfers, number of licenses, number of pledges, number of IPCs, number of IPCs other than the main IPC classification, number of national economic industries (major categories), and number of emerging industries. The above fields are used as indicators to calculate the second weight.

[0040] First, according to the filing date, IPC classification, and national economic industry classification of the patent to be evaluated, confirm the intellectual property transaction value P of the patent to be evaluated. k , as shown in Table 1 for example:

[0041] Table 1 Basic Information of a Patent for Invention to be Evaluated (Abbreviated)

[0042]

[0043] Then, according to the index calculation module for assisting in analyzing user transactions, through the matching of IPC classification numbers and national economic industry classification numbers, obtain the intellectual property transaction value P based on the average market actual transaction data of the current patent to be evaluated. k It is 1,047,600 yuan.

[0044] Table 2 Intellectual Property Transaction Value of Market Actual Transaction Data of a Patent for Invention to be Evaluated

[0045]

[0046] Next, use the AHP (Analytic Hierarchy Process) method to calculate the first weights W i and W ij for the basic data fields of the patent to be evaluated.

[0047] In the first step, confirm the classification of first-level indicators and second-level indicators, which are divided into 4 first-level indicators and 20 second-level indicators in total. The first-level indicators correspond to the weight W i , and the second-level indicators correspond to the weight W ij , where i is the serial number of the first-level indicator and j is the serial number of the second-level indicator, as shown in Table 3:

[0048] Table 3 Indicator Classification

[0049]

[0050] In the second step, apply Saaty's 1-9 scale method to respectively reflect the relative importance between the first-level indicators and the second-level indicators, as shown in Table 4:

[0051] Table 4 Saaty's 1-9 Scale Method

[0052] Scale Description 1 When comparing two elements, they are equally important 3 When comparing two elements, the former is slightly more important than the latter 5 When comparing two elements, the former is significantly more important than the latter 7 When comparing two elements, the former is extremely more important than the latter 9 When comparing two elements, the former is strongly more important than the latter 2、4、6、8 The intermediate value of the above adjacent judgments The reciprocal of 1 - 9 The importance of comparing the corresponding two factors after exchanging their orders

[0053] In the third step, according to Saaty's 1-9 scale method, confirm the second-level judgment matrices A1, A2, A3, A4 and the first-level judgment matrix A in the order of the second-level dimension first and then the first-level dimension.

[0054] In the fourth step, calculate and compare the maximum eigenvalue of each second-level judgment matrix and its corresponding eigenvector of the indicator, and conduct a consistency test.

[0055] (1) Calculate the product M of the eigenvector of each row index of the secondary judgment matrix elements ij :

[0056]

[0057] (2) Calculate the ij th power of M, that is, the secondary index eigenvector can be obtained:

[0058]

[0059] (3) Calculate the normalized result W of the secondary index eigenvector , which is the secondary index weight: ij

[0060]

[0061] (4) Calculate the maximum eigenvalue λ of the secondary eigenvector ijmax :

[0062]

[0063] (5) Consistency test of the secondary eigenvector:

[0064] ① Consistency index:

[0065] ② Average random consistency index: RI, obtained by looking up the table, as shown in Table 5

[0066] ③ Random consistency ratio: When CR < 0.1, it indicates that the consistency degree of the judgment matrix is considered within the allowable range. At this time, the eigenvector W of the judgment matrix can be used ij to carry out the calculation of the weight vector; if CR ≥ 0.1, the judgment matrix should be considered for correction.

[0067] Table 5 Average random consistency index RI comparison table

[0068] n 1 2 3 4 5 6 7 8 9 RI 0 0 0.58 0.90 1.12 1.24 1.32 1.41 1.45

[0069] In the embodiments of the present application, the secondary judgment matrix obtained according to the expert scoring method is as follows:

[0070] Secondary judgment matrix A1

[0071]

[0072]

[0073] CI = 0.0529, RI = 1.24, CR = 0.0427 < 0.1, proving that the consistency of the secondary judgment matrix A1 is acceptable.

[0074] Secondary judgment matrix A2

[0075]

[0076] CI = 0.0115, RI = 1.12, CR = 0.0102 < 0.1, proving that the consistency of the secondary judgment matrix A2 is acceptable.

[0077] Secondary judgment matrix A3

[0078]

[0079] CI = 0.0115, RI = 1.12, CR = 0.0102 < 0.1, proving that the consistency of the secondary judgment matrix A3 is acceptable.

[0080] Secondary judgment matrix A4

[0081]

[0082] CI = 0.0035, RI = 0.90, CR = 0.0038 < 0.1, proving that the consistency of the secondary judgment matrix A4 is acceptable.

[0083] Step 5, using the same method as in Step 4, calculate the maximum eigenvalue and the eigenvector of the first-level judgment matrix, and conduct a consistency test.

[0084] In the embodiment of the present application, the first-level judgment matrix obtained according to the expert scoring method is as follows:

[0085] First-level judgment matrix A

[0086]

[0087] CI = 0.0094, RI = 0.90, CR = 0.0105 < 0.1, proving that the consistency of the first-level judgment matrix A is acceptable.

[0088] Through the consistency tests of the secondary index eigenvectors and the primary index eigenvectors in Step 4 and Step 5 respectively, it is confirmed that the consistencies of the secondary judgment matrices A1, A2, A3, A4 and the primary judgment matrix A are all acceptable, and the secondary index weights W ij and the primary index weights W i , W i and W ij are the first weights of all patents and serve as the primary weights of the patents to be evaluated, as shown in Table 6:

[0089] Table 6: First weight of all patents (pending evaluation)

[0090]

[0091]

[0092] Next, based on the basic information of the patent to be evaluated, such as the specific number of inventors, number of claims, authorization cycle, number of patents in the same family, etc., the second weight W of the patent to be evaluated, that is, the total weight of the patent to be evaluated, is calculated.

[0093] Step 6: According to the expert scoring method, convert each secondary indicator value that falls into the scoring range into a secondary indicator score S ij , which is in the range of [60,150]. It should be noted that the numerical classification and scoring standards of the substantive examination time and authorization cycle are different for different patent types; in addition, if a lawsuit occurs in the patent to be evaluated, no matter how many other secondary indicators are scored, the total score is only 60. The specific scores of the secondary indicators are shown in Table 7:

[0094] Table 7

[0095]

[0096]

[0097]

[0098] Step 7: According to the secondary indicator value of the patent to be evaluated, the corresponding score S ij and the secondary index weight W ij , calculate the secondary index score G ij :

[0099] G ij =S ij ×W ij

[0100] And according to the secondary indicator score G of the patent to be evaluated ij , calculate the first-level index score G i :

[0101]

[0102] For example, Table 8 shows the scores and weights of the secondary indicators of a patent to be evaluated:

[0103] Table 8

[0104]

[0105] Step 8: Based on the score G of the patent to be evaluated i , corresponding to the first-level indicator weight Wi , calculate the score D of the first-level indicator i :

[0106] D i = G i × W i

[0107] And based on the score D of the first-level indicator of the patent to be evaluated i , calculate the total indicator score D:

[0108]

[0109] The example is shown in Table 9, the score and weight table of the first-level indicators of a certain invention patent to be evaluated:

[0110] Table 9

[0111]

[0112] Step 9, divide the score of the first-level indicator of the patent to be evaluated by 100 to obtain the total weight W of the patent to be evaluated:

[0113]

[0114] That is, the total weight W is: 115.56 ÷ 100 = 1.1556.

[0115] Finally, according to the intellectual property transaction value P of the patent to be evaluated k and the total weight W, multiply them to obtain the value result P of the patent to be evaluated:

[0116] P = P k × W

[0117] That is, the patent value P is: 104.76 × 1.1556 = 121.0607 ten thousand yuan.

[0118] III. Patent value evaluation result display module, according to the value result of the patent to be evaluated, uses the FineReport tool to design a display interface for implementation in a computer program.

[0119] IV. The first server includes: a memory one and a processor one. The memory one is used to store the first sample set data and processing results of the index calculation module for assisting in analyzing user transactions; the processor one is used to implement the intellectual property transaction value evaluation steps of the index calculation module for assisting in analyzing user transactions based on the current market actual transaction data.

[0120] V. The second server, comprising: a communication interface, a second memory, and a second processor. The communication interface is configured to receive patent basic data from the global patent database; the second memory is configured to store the second sample set data and the processing results of the patent value weight evaluation module based on the patent basic information; the second processor is configured to implement the steps of the patent value weight and result based on the patent basic information of the patent value weight evaluation module based on the patent basic information.

[0121] VI. A computer-readable storage medium, comprising a computer program, which when loaded onto a computer and executed by the computer, causes the first server to execute the patent value evaluation method based on the current market actual patent transaction data in the index calculation module for assisting in analyzing user transactions, or causes the second server two to execute the steps of the patent value weight and calculation result method based on the patent basic information in the patent value weight evaluation module based on the patent basic information, and execute the steps of the patent value evaluation result display processing method in the patent value evaluation result display module.

[0122] The value prediction method for assisting patent transactions in the present invention is specifically embodied in the evaluation calculation methods in the first and second index calculation modules for assisting in analyzing user transactions and the patent value weight evaluation module based on the patent basic information. The method learns from the on-site transaction data, technology transaction data, and all patent basic data, evaluates the value of each dimension of the patent during data learning, and then combines the expert's empirical scoring of the substantial value of the patent to estimate the value of the patent to be evaluated, comprehensively and objectively reflecting the value of the patent.

[0123] The above embodiments only represent the specific implementation manners of the present invention, and the description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent shall be subject to the appended claims.

Claims

1. A value estimation platform system for assisting patent transactions, characterized in that, Including: An index calculation module for assisting in analyzing user transactions: learning through the on-site transaction data and technical transaction data in the first sample set to obtain the intellectual property transaction value valuation based on the actual transaction data in the current market; sending the patent to be evaluated into the index calculation module for assisting in analyzing user transactions to obtain the intellectual property transaction value valuation of the patent to be evaluated, and sending it into the patent value weight evaluation module based on the patent basic information; Patent value weight evaluation module based on patent basic information: Use the AHP (Analytic Hierarchy Process) to determine the combined value of all patents, and combine the scores given by experts for the patent to be evaluated to obtain the total weight W of the patent to be evaluated; the intellectual property transaction value P of the patent to be evaluated k After multiplying by the total weight W, the value result of the patent to be evaluated is obtained; A patent value evaluation result display module: designing a display interface using the FineReport tool according to the value result of the patent to be evaluated for implementation in a computer program; The first server, including: a first memory and a first processor, the first memory is used to store the first sample set data and processing results of the above-mentioned index calculation module for assisting in analyzing user transactions; the first processor is used to implement the intellectual property transaction value evaluation step based on the actual transaction data in the current market of the index calculation module for assisting in analyzing user transactions; The second server, including: a communication interface, a second memory, and a second processor, the communication interface is used to receive patent basic data from the global patent database; the second memory is used to store the second sample set data and processing results of the patent value weight evaluation module based on the patent basic information; the second processor is used to implement the steps of the patent value weight and result based on the patent basic information of the patent value weight evaluation module based on the patent basic information; A computer-readable storage medium: including a computer program, when the computer program is loaded onto a computer and executed by the computer, it causes the first server to execute the patent value evaluation method based on the actual patent transaction data in the current market in the index calculation module for assisting in analyzing user transactions, or causes the second server to execute the steps of the patent value weight and calculation result method based on the patent basic information in the patent value weight evaluation module based on the patent basic information, and execute the steps of the patent value evaluation result display processing method in the patent value evaluation result display module.

2. A value estimation method for assisting patent transactions, characterized in that, Learn the on-site transaction data, technical transaction data, and all patent basic data, evaluate the value of each dimension of the patent in the data learning, and then combine the expert's empirical scoring of the patent's substantial value of the patent to be evaluated to conduct a value valuation of the patent to be evaluated, comprehensively and objectively reflecting the value of the patent.

3. The value estimation method for assisting patent transactions according to claim 2, wherein, Method for learning all the basic patent data: Use the AHP (Analytic Hierarchy Process) to determine the secondary index weights W under each dimension value of all patent values as the primary index ij , through the secondary index weights W ij Calculate the primary index weights W i , W i and W ij are the first weights of all patents and serve as the first weights of the patents to be evaluated. Among them, the patent application number, application date, patent name, applicant, current right holder, inventor, title, publication type, publication country, IPC classification, national economic industry classification, emerging industry classification, patent validity, and current legal status are the obtained basic patent data.

4. The value estimation method for assisting patent transactions according to claim 3, wherein The experts' experience scoring of the substantial value of the patents to be evaluated: obtain the basic scoring data of the patents to be evaluated, including the number of inventors, the number of claims, the number of citations, the number of citations by foreign patents, the number of self-citations, the number of technical efficacy TRIZ parameters, the number of patents in the same family, the number of pages of cited documents, the length of substantive examination, the number of lawsuits, whether the right is confirmed after reexamination, the authorization cycle, the proportion of the remaining authorization time, the number of cooperative applicants, the number of transfers, the number of licenses, the number of pledges, the number of IPCs, the number of IPCs other than the main IPC classification, the number of national economic industries, and the number of emerging industries. According to the scoring indicators, the experts score the scoring indicators of the patents to be evaluated to obtain the secondary indicator score S ij .

5. The value estimation method for assisting patent transactions according to claim 4, wherein Value evaluation of the patent to be evaluated: Through the secondary index score S ij and the weight W of the primary index of the patent to be evaluated ij , determine the secondary index score G of the patent to be evaluated ij ; According to the secondary index score G of the patent to be evaluated ij , calculate the primary index score G i ; According to the primary index score G of the patent to be evaluated i , corresponding to the primary index weight W i , calculate the primary index score D i ; According to the primary index score D of the patent to be evaluated i , calculate the total index score D; Divide the total index score D by 100 to obtain the total weight; Send the patent to be evaluated into the index calculation module for assisting in analyzing user transactions to obtain the intellectual property transaction value evaluation of the patent to be evaluated; Multiply the intellectual property transaction value evaluation by the total weight to finally determine the value result of the patent to be evaluated.

6. A method for evaluating the patent value weight based on the basic patent information, characterized in that, Use the AHP (Analytic Hierarchy Process) to calculate the first weights W i and W ij for the basic data fields of the patent to be evaluated; specifically as follows: The first step is to confirm the classification of the first-level indicators and the second-level indicators, which are divided into 4 first-level indicators and 20 second-level indicators. The first-level indicators correspond to the weight W i , and the second-level indicators correspond to the weight W ij , where i is the serial number of the first-level indicator and j is the serial number of the second-level indicator. The details are shown in the following table: Second, apply Saaty's 1-9 scale method to respectively reflect the relative importance between the first-level indicators and the second-level indicators. According to Saaty's 1-9 scale method, confirm the second-level judgment matrix and the first-level judgment matrix in the order of the second-level dimension first and then the first-level dimension. By calculating and comparing the maximum eigenvalue and its corresponding eigenvector of each second-level and first-level judgment matrix respectively, and conduct a consistency test for confirmation; after confirmation, normalize the obtained second-level indicator eigenvector and first-level indicator eigenvector, and use them as the second-level indicator weight W ij and the first-level indicator weight W i ; Step 3: According to the expert scoring method, convert the numerical values of each secondary indicator falling within the score range into the secondary indicator score S ij , which is in the range of [60, 150]. The specific scores of the secondary indicators are as follows in the table: Step 4: According to the numerical values of the secondary indicators of the patent to be evaluated, corresponding to the score S ij and the weights W of the secondary indicators ij , calculate the scores G of the secondary indicators ij : G ij = S ij × W ij And calculate the score \(G\) of the first-level indicator based on the score \(G\) of the second-level indicator of the patent to be evaluated ij as follows i : Step 5: According to the score G of the patent to be evaluated i , corresponding to the weight W of the first-level index i , calculate the score D of the first-level index i : D i = G i × W i And calculate the total index score D based on the score D of the first-level index of the patent to be evaluated i , where the total index score D is calculated as follows: In the sixth step, divide the score of the first-level index of the patent to be evaluated by 100 to obtain the total weight W of the patent to be evaluated.

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