CN116911645A - Patent information processing method and related equipment - Google Patents
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Abstract
The utility model discloses a patent information processing method and related equipment, wherein the method comprises the following steps: obtaining a patent applied by a target enterprise in a preset period, and obtaining patent information of the patent; obtaining the knowledge width of the patent based on the patent information by a Hefendale-He Himan index method, and calculating the knowledge width to obtain the patent score of the patent; and obtaining a quality evaluation result of the patent based on the magnitude of the patent score, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result. The utility model confirms the technical complexity of the patent through a knowledge width method, constructs the knowledge width of the patent by using a Herfidal-Herpemann index method, and for the lower the concentration, the more the knowledge applied to the patent is dispersed, the higher the quality of the patent is, thereby providing a reference direction for rapidly evaluating the technical innovation strength of companies or enterprises in a period of time by external investors, clients and the like.
Description
Technical Field
The present utility model relates to the field of information processing technologies, and in particular, to a patent information processing method, system, terminal, and computer readable storage medium.
Background
Patent (patent), literally referring to proprietary rights and interests, the term "patent" derives from latin litteraaepates, means published letters or public literature, is a proof by the monarch of the middle century to issue a certain privilege, and later refers to an exclusive right certificate personally signed by the kingdom king, in modern times, a patent is generally a document issued by government authorities or regional organizations representing several countries according to the application, which documents describe what the utility model was created, and within a certain period of time, a legal state is created in which the creation of the utility model to obtain a patent is generally only allowed by the patentee to be carried out by others. In China, patents are divided into three types of utility models, utility models and design; as the number of patents applied by enterprises and the like increases, the quality of the patents is differentiated.
In the prior art, the patent information is processed by counting the number of patent application numbers of the company in the current year so as to provide a reference direction for the technical innovation result and innovation strength of the company; however, in this case, there is still a certain room for improvement in the effectiveness of the external investors, government industry guiding departments, and clients to determine the level of technical innovation of the enterprise based only on the reference direction obtained by the index; enterprises can show competitive artifacts to the outside by increasing the number of patent applications, but the economic value and the technical complexity of actual patents are not uniform; therefore, the processing of patent information in the prior art cannot provide an effective reference direction for evaluating the innovation ability of enterprises.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
The utility model mainly aims to provide a patent information processing method and related equipment, and aims to solve the problem that in the prior art, patent information cannot be processed to provide an effective reference direction for evaluating innovation ability of enterprises.
In order to achieve the above object, the present utility model provides a patent information processing method comprising the steps of:
obtaining patents applied by target enterprises in a preset period according to a database, and obtaining patent information of the patents based on a Python tool;
obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree;
and comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
Optionally, in the method for processing patent information, the patent applied by the target enterprise in the preset period is obtained according to a database, and the patent information of the patent is obtained based on a Python tool, specifically:
a database for query is predetermined, and all patents of a target enterprise in a preset period are acquired based on the database;
and designing a Python tool, and analyzing the patent information of the patent based on the Python tool.
Optionally, the patent information processing method, wherein the patent information includes an IPC classification number of a patent and an quoted number of the patent.
Optionally, the patent information processing method, wherein the obtaining the knowledge width of the patent by the hevincal-hegman index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree specifically includes:
acquiring an IPC (identity model) classification number of the patent, and obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number;
and calculating the knowledge dispersion degree of the knowledge width based on a preset calculation rule, and giving the patent corresponding patent score based on the knowledge dispersion degree.
Optionally, in the patent information processing method, the preset calculation rule is:
patent_knowedge m,type ＝1-∑α 2 ；
wherein patent_knowedge is knowledge dispersion degree of knowledge width, m is number of patents, type is number of groups in patent classification number, and alpha is proportion of each large group in patent classification number.
Optionally, in the patent information processing method, the comparing based on the size of the patent score and the evaluation score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result, further includes:
setting a judgment value of the standard quality of the patent;
receiving the patent scores of all patents, and comparing the sizes of the patent scores with the scoring values;
if the patent score is greater than or equal to the scoring score, the patent is a high quality patent;
and if the patent score is smaller than the scoring score, the patent is a low-quality patent.
Optionally, in the patent information processing method, the comparing based on the size of the patent score and the evaluation score to obtain a quality evaluation result of the patent, and providing a reference for a comprehensive technical innovation index of the target enterprise based on the quality evaluation result specifically includes:
taking the average value or the median of the patent scores of all the patents, and taking the average value or the median as the overall score of the patents;
and obtaining a quality evaluation result of the patent based on the total score and the patent data and the patent quotation, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
Optionally, the patent information processing method, wherein the patent information processing system includes:
the data acquisition module is used for acquiring patents applied by a target enterprise in a preset period according to the database and acquiring patent information of the patents based on a Python tool;
the data processing module is used for obtaining the knowledge width of the patent through a Herfidal-Herpemann index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree;
and the result output module is used for comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
In addition, to achieve the above object, the present utility model also provides a terminal, wherein the terminal includes: the patent information processing device comprises a memory, a processor and a patent information processing program stored in the memory and capable of running on the processor, wherein the patent information processing program realizes the steps of the patent information processing method when being executed by the processor.
In addition, in order to achieve the above object, the present utility model also provides a computer-readable storage medium storing a patent information processing program which, when executed by a processor, implements the steps of the patent information processing method described above.
According to the method, the patent applied by a target enterprise in a preset period is obtained according to the database, and the patent information of the patent is obtained based on a Python tool; obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree; and comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result. The utility model confirms the technical complexity of the patent through a knowledge width method, constructs the knowledge width of the patent by using a Herfidal-Herpemann index method, and for the lower the concentration, the more the knowledge applied to the patent is scattered, the higher the score corresponding to the patent is, and the total score of the applied patent is combined with the patent data and the quotation of the patent, so that a reference direction is provided for the rapid evaluation of the technical innovation strength of companies or enterprises in a period of time by external investors, clients and the like.
Drawings
FIG. 1 is a flow chart of a preferred embodiment of the patent information processing method of the present utility model;
FIG. 2 is a schematic diagram of a patent applied by a target company in a preferred embodiment of the proprietary information processing method of the present utility model;
FIG. 3 is a schematic diagram of a sorting patent classification number in a preferred embodiment of a proprietary information processing method of the present utility model;
FIG. 4 is a schematic diagram of a portion of the analysis script of the Python tool in a preferred embodiment of the proprietary information processing method of the present utility model;
FIG. 5 is a general flow chart of a preferred embodiment of the patent information processing method of the present utility model;
FIG. 6 is a schematic diagram of a preferred embodiment of a proprietary information processing system of the present utility model;
FIG. 7 is a schematic diagram of the operating environment of a preferred embodiment of the terminal of the present utility model.
Detailed Description
In order to make the objects, technical solutions and advantages of the present utility model more clear and clear, the present utility model will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the utility model.
It should be noted that, if a directional indication (such as up, down, left, right, front, and rear … …) is involved in the embodiment of the present utility model, the directional indication is merely used to explain the relative positional relationship, movement condition, etc. between the components in a specific posture, and if the specific posture is changed, the directional indication is correspondingly changed. In addition, if there is a description of "first", "second", etc. in the embodiments of the present utility model, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature.
In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present utility model.
The patent information processing method according to the preferred embodiment of the present utility model, as shown in fig. 1, includes the following steps:
step S10, obtaining patents applied by target enterprises in a preset period according to a database, and obtaining patent information of the patents based on a Python tool.
The step S10 includes:
step S11, a database to be queried is determined in advance, and all patents of a target enterprise in a preset period are acquired based on the database;
and step S12, designing a Python tool, and analyzing the patent information of the patent based on the Python tool.
Specifically, a database (such as a national intellectual property office and a Bai Teng database) for query is determined in advance from the internet, all patents of a target enterprise in a preset period are acquired based on the database, for example, as shown in fig. 2, the detailed information of all the patents or the authorized patents of the company A applied for 2009-2016 is derived, the derived information comprises application numbers, patent names, main classification numbers, applicant, inventor and first inventor, and the like, the information in the frame (namely the classification numbers) in fig. 2 is sorted with the application numbers to obtain a similar demo.xls table, as shown in fig. 3, the patents are sorted from top to bottom according to the years of the application numbers, and each application number corresponds to a group of classification numbers (for example, the classification number corresponding to application number CN201310750547.9 is G05D7/06 (20060101) and H02N2/18 (20060101)); then designing a Python tool, and analyzing patent information of the patent based on the Python tool, wherein the detailed information comprises an IPC classification number and a quoted number of the patent; while the parsing script of part of the Python tool (determining a small part of the knowledge domain according to class number) is shown in fig. 4.
And step S20, obtaining the knowledge width of the patent through a Herfidal-Herpemann index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree.
The step S20 includes:
s21, acquiring an IPC (identity model) classification number of the patent, and obtaining the knowledge width of the patent through a Hefendale-He Himan index method based on the IPC classification number;
and S22, calculating the knowledge dispersion degree of the knowledge width based on a preset calculation rule, and giving the patent corresponding patent score based on the knowledge dispersion degree.
Specifically, the complexity of the technology is confirmed by comparing the information of the IPC classification numbers of the utility model patent and the utility model patent; the international patent classification table IPC classifies technical contents into five grades according to parts, major classes, minor classes, major groups and minor groups in a grade form to construct a complete classification system; the size of the patent knowledge width can be judged by the size group of the classification number information contained in the patents, for example, the A patent and the B patent respectively contain three classification number information, the classification numbers of the A patent are H01C01/00, H01C01/10 and H01C01/20, and the classification numbers of the B patent are H01B01/00, H01C02/01 and H01D03/02; although the A patent and the B patent have the same number of classification numbers, three classification numbers in the A patent are information belonging to one large group level of H01C01, and three classification numbers in the B patent contain three different large groups of information of H01B01, H01C02 and H01D 03; the knowledge width applied by the B patent can be judged to be greater than that of the a patent, so that the quality of the B patent is judged to be higher than that of the a patent; HHI (Herfindahl Index, hefen)Dar-herhman index) is a measure of the concentration of the market, with greater values of herhendar-herhman index indicating that the higher the concentration of the market, the more the market tends to monopolize the competitive mode, and lower values of herhendar-herhman index, the more dispersed the market; in the utility model, the Hefendale-Heschmann index is applied to the classification of patent IPC, and the degree of knowledge dispersion applied by the patent is illustrated by the concentration degree, namely, the lower the concentration degree is, the more the applied knowledge is dispersed, the higher the patent quality is; the higher the concentration, the more concentrated the knowledge that is used, and the lower the quality of the patent. Thus, the degree of knowledge dispersion of the knowledge width is calculated based on a preset calculation rule, namely weighting by using the logic thought of the Hefendale-He Highmann Index (HHI) at a large group level, wherein the preset calculation rule is the patent_knowedge m,type ＝1-∑α 2 Wherein, patent_knowedge is knowledge dispersion degree of knowledge width, m is the number of patents, type is the number of groups in the patent classification number, and alpha is the proportion of each large group in the patent classification number; the larger the type, the larger the difference among the large groups is, the lower the concentration is, and the larger the knowledge width applied by the patent is, so that the patent quality performance is higher; and assigning a patent score corresponding to the patent based on the degree of knowledge dispersion.
And step S30, comparing the patent score value with the judgment score value to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
The step S30 includes:
step S31, taking the average value or the median of the patent scores of all the patents, and taking the average value or the median as the overall score of the patents;
and step S32, obtaining a quality evaluation result of the patent based on the total score and the patent data and the quotation of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
Specifically, setting a judgment score of the standard quality of the patent; acquiring patent scores given to all patents based on the knowledge dispersion degree, and comparing the patent scores with the evaluation scores; if the patent score is greater than or equal to the scoring score, the patent is a high quality patent; if the patent score is less than the scoring score, the patent is a low quality patent; taking the average value or the median of the patent scores of all the patents by counting the knowledge width of all the patents of the target enterprise in the current year, and taking the average value or the median as the overall score of the patents; and providing a reference direction for the comprehensive technical innovation index of the target enterprise based on the total score and the patent data and the patent quotation.
Further, as shown in fig. 5, the overall flowchart of the proprietary information processing method in the present utility model specifically includes:
s1, starting;
s2, acquiring and storing patent data applied by a target enterprise in a preset period;
s3, constructing an IPC classification number of the patent, and counting the introduced quantity and the total quantity of the patent;
s4, obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number; calculating the knowledge dispersion degree of the knowledge width based on a preset calculation rule, and giving a patent score corresponding to the patent based on the knowledge dispersion degree;
s5, outputting the results of the annual patent total amount, the patent quality average value and the introduced quantity to obtain a quality evaluation result, and providing a reference direction for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result;
and S6, ending.
Further, as shown in fig. 6, based on the above-mentioned patent information processing method, the present utility model further provides a patent information processing system, which includes:
the data obtaining module 51 is configured to obtain, according to a database, a patent applied by a target enterprise in a preset period, and obtain patent information of the patent based on a Python tool;
the data processing module 52 is configured to obtain a knowledge width of the patent by a hevincal-hehnman index method based on the IPC classification number in the patent information, calculate the knowledge width to obtain a knowledge dispersion degree, and obtain a patent score of the patent according to the knowledge dispersion degree;
and the result output module 53 is configured to compare the patent score with the judgment score to obtain a quality evaluation result of the patent, and provide a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
Further, as shown in fig. 7, based on the above-mentioned patent information processing method, the present utility model further provides a terminal correspondingly, where the terminal includes a processor 10, a memory 20 and a display 30; fig. 7 shows only some of the components of the terminal, but it should be understood that not all of the illustrated components are required to be implemented and that more or fewer components may alternatively be implemented.
The memory 20 may in some embodiments be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory 20 may in other embodiments also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal. Further, the memory 20 may also include both an internal storage unit and an external storage device of the terminal. The memory 20 is used for storing application software installed in the terminal and various data, such as program codes of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, the memory 20 has stored thereon a proprietary information processing program 40, the proprietary information processing program 40 being executable by the processor 10 to implement the proprietary information processing method of the present utility model.
The processor 10 may in some embodiments be a central processing unit (Central Processing Unit, CPU), microprocessor or other data processing chip for executing program code or processing data stored in the memory 20, for example, for performing the patent information processing method or the like.
The display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like in some embodiments. The display 30 is used for displaying information at the terminal and for displaying a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.
In one embodiment, the following steps are implemented when the processor 10 executes the interface display program 40 of the split window in the memory 20:
obtaining patents applied by target enterprises in a preset period according to a database, and obtaining patent information of the patents based on a Python tool;
obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree;
and comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
The patent information of the patent is obtained based on a Python tool, specifically:
a database for query is predetermined, and all patents of a target enterprise in a preset period are acquired based on the database;
and designing a Python tool, and analyzing the patent information of the patent based on the Python tool.
Wherein, the patent information comprises the IPC classification number of the patent and the quoted number of the patent.
The method for obtaining the knowledge width of the patent based on the IPC classification number in the patent information through a Hefendal-He Himan index method, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree specifically comprises the following steps:
acquiring an IPC (identity model) classification number of the patent, and obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number;
and calculating the knowledge dispersion degree of the knowledge width based on a preset calculation rule, and giving the patent corresponding patent score based on the knowledge dispersion degree.
Wherein, the preset calculation rule is as follows:
patent_knowedge m,type ＝1-∑α 2 ；
wherein patent_knowedge is knowledge dispersion degree of knowledge width, m is number of patents, type is number of groups in patent classification number, and alpha is proportion of each large group in patent classification number.
The comparing, based on the patent score and the judgment score, to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result, which further includes:
setting a judgment value of the standard quality of the patent;
receiving the patent scores of all patents, and comparing the sizes of the patent scores with the scoring values;
if the patent score is greater than or equal to the scoring score, the patent is a high quality patent;
and if the patent score is smaller than the scoring score, the patent is a low-quality patent.
The comparing, based on the patent score and the judgment score, to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result, specifically including:
taking the average value or the median of the patent scores of all the patents, and taking the average value or the median as the overall score of the patents;
and obtaining a quality evaluation result of the patent based on the total score and the patent data and the patent quotation, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
The present utility model also provides a computer-readable storage medium storing a patent information processing program which, when executed by a processor, implements the steps of the patent information processing method described above.
In summary, the present utility model provides a method for processing patent information and related devices, where the method for processing patent information includes: obtaining patents applied by target enterprises in a preset period according to a database, and obtaining patent information of the patents based on a Python tool; obtaining knowledge dispersion degree based on IPC classification numbers in the patent information by a Hefendal-He Himan index method, obtaining knowledge width of the patent according to the knowledge dispersion degree, and calculating the knowledge width to obtain patent scores of the patent; and comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result. The utility model confirms the technical complexity of the patent through a knowledge width method, constructs the knowledge width of the patent by using a Herfidal-Herpemann index method, and for the lower the concentration, the more the knowledge applied to the patent is scattered, the higher the score corresponding to the patent is, and the total score of the applied patent is combined with the patent data and the quotation of the patent, so that a reference direction is provided for the rapid evaluation of the technical innovation strength of companies or enterprises in a period of time by external investors, clients and the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Of course, those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by a computer program for instructing relevant hardware (e.g., processor, controller, etc.), the program may be stored on a computer readable storage medium, and the program may include the above described methods when executed. The computer readable storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the utility model is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (10)
1. A patent information processing method, characterized in that the patent information processing method comprises:
obtaining patents applied by target enterprises in a preset period according to a database, and obtaining patent information of the patents based on a Python tool;
obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree;
and comparing the patent score with the judgment score to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
2. The patent information processing method according to claim 1, wherein the patent applied by the target enterprise in the preset period is obtained according to the database, and the patent information of the patent is obtained based on a Python tool, specifically:
a database for query is predetermined, and all patents of a target enterprise in a preset period are acquired based on the database;
and designing a Python tool, and analyzing the patent information of the patent based on the Python tool.
3. The patent information processing method according to claim 1 or 2, characterized in that the patent information includes an IPC classification number of a patent and an quoted number of a patent.
4. The patent information processing method according to claim 3, wherein the obtaining the knowledge width of the patent by the heverda-hehnman index method based on the IPC classification number in the patent information, and calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree, specifically comprises:
acquiring an IPC (identity model) classification number of the patent, and obtaining the knowledge width of the patent through a Hefendal-He Himan index method based on the IPC classification number;
and calculating the knowledge dispersion degree of the knowledge width based on a preset calculation rule, and giving the patent corresponding patent score based on the knowledge dispersion degree.
5. The patent information processing method according to claim 4, wherein the preset calculation rule is:
patent_knowedge m,type ＝1-∑α 2 ；
wherein patent_knowedge is knowledge dispersion degree of knowledge width, m is number of patents, type is number of groups in patent classification number, and alpha is proportion of each large group in patent classification number.
6. The patent information processing method according to claim 1, wherein the comparing based on the magnitude of the patent score and the evaluation score to obtain the quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result, further comprises:
setting a judgment value of the standard quality of the patent;
receiving the patent scores of all patents, and comparing the sizes of the patent scores with the scoring values;
if the patent score is greater than or equal to the scoring score, the patent is a high quality patent;
and if the patent score is smaller than the scoring score, the patent is a low-quality patent.
7. The patent information processing method according to claim 1, wherein the comparing based on the magnitude of the patent score and the evaluation score to obtain the quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result, specifically comprises:
taking the average value or the median of the patent scores of all the patents, and taking the average value or the median as the overall score of the patents;
and obtaining a quality evaluation result of the patent based on the total score and the patent data and the patent quotation, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
8. A patent information processing system, characterized in that the patent information processing system comprises:
the data acquisition module is used for acquiring patents applied by a target enterprise in a preset period according to the database and acquiring patent information of the patents based on a Python tool;
the data processing module is used for obtaining the knowledge width of the patent through a Herfidal-Herpemann index method based on the IPC classification number in the patent information, calculating the knowledge width to obtain the knowledge dispersion degree, and obtaining the patent score of the patent according to the knowledge dispersion degree;
and the result output module is used for comparing the patent score value with the judgment score value to obtain a quality evaluation result of the patent, and providing a reference for the comprehensive technical innovation index of the target enterprise based on the quality evaluation result.
9. A terminal, the terminal comprising: a memory, a processor, and a patent information processing program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the patent information processing method of any one of claims 1-7.
10. A computer-readable storage medium storing a patent information processing program which, when executed by a processor, implements the steps of the patent information processing method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211593771.7A CN116911645A (en) | 2022-12-13 | 2022-12-13 | Patent information processing method and related equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211593771.7A CN116911645A (en) | 2022-12-13 | 2022-12-13 | Patent information processing method and related equipment |
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| CN116911645A true CN116911645A (en) | 2023-10-20 |
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| CN202211593771.7A Pending CN116911645A (en) | 2022-12-13 | 2022-12-13 | Patent information processing method and related equipment |
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