Intellectual property service consultation system, electronic equipment and storage medium

Abstract

The invention discloses an intellectual property service consultation system, which comprises a patent module, a trademark module, an agent module and a guide module, a user enters the patent module, the trademark module or the guidance module based on business requirements; the patent module user enters a specific patent service, and the trademark module user enters a specific trademark service; the proxy module is used for performing proxy services; and the guiding module is used for guiding the user to enter a specific patent service or a specific trademark service. The technical effects are that the system provides a platform for public cooperation seeking or roll-in and roll-out for an enterprise or an agency, integrates a patent module, a trademark module and an agency module, and enables a user to rapidly and reliably connect with the agency for patent application, trademark registration, patent transaction, trademark transaction and other businesses. Through the arrangement of the guiding module, the user can quickly, accurately and reliably carry out related services such as patents and trademarks according to the guiding module.

Description

Technical Field

[0001] The present invention relates to the technical field of consulting service systems, and in particular to an intellectual property service consulting system, electronic equipment and storage medium. Background Art

[0002] Intellectual property is the exclusive right to the intellectual labor achievements created by human beings in social practice. With the development of science and technology, the intellectual property system has emerged and been continuously improved in order to better protect the interests of property owners. The implementation of the intellectual property system can stimulate innovation, protect the intellectual labor achievements of people, and promote their transformation into real productivity.

[0003] It is an incentive and protection mechanism that promotes scientific and technological progress, economic development, and cultural prosperity.

[0004] With the country's promotion of intellectual property rights and the increasing attention paid to intellectual property rights by the people, more and more individuals and companies are actively participating in intellectual property work, protecting their own creative achievements through relevant registrations and applications.

[0005] At the same time, the state has provided corresponding intellectual property incentive and support policies, which further enhances the enthusiasm of enterprises and makes them willing to invest more R&D costs to obtain creative results.

[0006] However, individuals and enterprises are limited by their own capabilities during the research and development process and may only be able to produce phased or theoretical inventions and creations. Such results need to go through further testing, development, application, and promotion until new products, new processes, new materials, and new industries are formed before they can truly play a role in promoting economic development. In other words, the conversion rate of scientific and technological achievements in the early stages is insufficient.

[0007] There are two types of transformation of scientific and technological achievements: direct transformation and indirect transformation. Direct transformation is usually carried out through entrepreneurship, cooperation or contract research. Indirect transformation is mainly carried out through various intermediary agencies. Intermediary agencies provide intellectual property information consultation for individuals or enterprises, carry out intellectual property-related registration and application work on their behalf, and provide local individuals and enterprises with patent transfer channels.

[0008] The current situation is that when individuals or companies have intellectual property-related consultation and service needs, they often contact intermediaries through telephone consultations, and then further transmit relevant information through WeChat, email, or face-to-face meetings. All of these are manual services with low efficiency and poor security. Among the known consultation questions, basic and repetitive questions such as "how to register a trademark" and "how to apply for a patent" account for as much as 80%, which also greatly wastes the human resources of intermediaries and has low consultation efficiency. When the creative achievements of individuals or companies cannot be implemented for various reasons, or when companies need patent support from others during the production process, there is a lack of platforms for openly seeking cooperation or transfers in and out. Summary of the invention

[0009] To this end, the present invention provides an intellectual property service consulting system to solve the above-mentioned problems in the prior art.

[0010] In order to achieve the above object, the present invention provides the following technical solutions:

[0011] According to a first aspect of the present invention, an intellectual property service consulting system includes: a patent module, a trademark module, an agency module and a guidance module; users enter the patent module, the trademark module or the guidance module based on business needs; the patent module user enters a specific patent business, and the trademark module user enters a specific trademark business; the agency module is used to perform agency business; the guidance module is used to guide users to enter a specific patent business or a specific trademark business.

[0012] Furthermore, it also includes a login module, and before the user enters into a specific patent business or a specific trademark business, the user logs into the account through the login module.

[0013] Furthermore, the guidance module includes identity authentication, and the user logs into the account through the login module after passing the identity authentication.

[0014] Furthermore, the identity authentication includes a first identity authentication, which is used to confirm whether the user has used the system to conduct patent / trademark related business. If the user has used the system to conduct patent / trademark related business, the business in which the user has participated will pop up directly after logging into the account.

[0015] Furthermore, the identity authentication also includes a second identity authentication. After the first identity authentication, the user has not used the system to conduct patent / trademark related business. The second identity authentication is used to confirm whether the user is an agency. If the second identity authentication confirms that the user is an agency, the agency business will pop up directly after logging into the account. If the second identity authentication confirms that the user is not an agency, a pop-up will be displayed to ask whether guidance is needed / communicate with customer service to gain a preliminary understanding of the system. If no guidance or communication with customer service is required, the user will directly enter the login module to log in to the account.

[0016] Furthermore, it also includes a complaint feedback module. Users who enter the intellectual property service consultation system can directly enter the complaint feedback module, and the complaint feedback module is used to resolve user complaints and improve the system.

[0017] Furthermore, it also includes a query module, which users can directly enter. The query module is used for users to query business progress, government policies, and search for patents through a patent database.

[0018] Furthermore, the login module includes a user login unit and a QR code login unit, and the user can choose to log in to the account through the QR code login unit or through the user login unit.

[0019] According to a second aspect of the present invention, an electronic device includes:

[0020] Central processing unit;

[0021] a memory for storing executable instructions;

[0022] Wherein, the central processing unit implements the function of the intellectual property consulting service system as described in any one of the first aspects of the present invention by calling the executable instructions.

[0023] According to the third aspect of the present invention, the computer program instructions, when executed by a processor, implement the functions of the intellectual property consulting service system described in the first aspect of the present invention.

[0024] The present invention has the following advantages: the system provides a platform for enterprises or agencies to publicly seek cooperation or transfer in and out, and integrates patent module, trademark module and agency module to enable users to quickly and reliably connect with agencies to carry out patent applications, trademark registrations, patent transactions and trademark transactions. Through the setting of the guidance module, users can quickly, accurately and reliably carry out patent and trademark related businesses according to the guidance module. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0026] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0027] Figure 1 A schematic diagram of the structure of an intellectual property service consulting system provided for some embodiments of the present invention.

[0028] Figure 2 A workflow diagram of a guidance module of an intellectual property service consulting system provided for some embodiments of the present invention.

[0029] Figure 3 A workflow diagram of a customer service module of an intellectual property service consulting system provided for some embodiments of the present invention.

[0030] Figure 4 A schematic diagram of the structure of a patent module of an intellectual property service consulting system provided for some embodiments of the present invention.

[0031] Figure 5 A workflow diagram of a patent application for an intellectual property service consulting system provided for some embodiments of the present invention.

[0032] Figure 6 A schematic diagram of the structure of an agent module of an intellectual property service consulting system provided in some embodiments of the present invention.

[0033] Figure 7 A schematic diagram of the structure of a query module of an intellectual property service consulting system provided in some embodiments of the present invention.

[0034] Figure 8 A schematic diagram of the structure of a login module of an intellectual property service consultation system provided in some embodiments of the present invention.

[0035] Fig. 9 A schematic diagram of the structure of a search service unit of an intellectual property service consultation system provided in some embodiments of the present invention.

[0036] Fig.10 A schematic flow chart of a method for evaluating patent authorization rate of an intellectual property service consulting system provided in some embodiments of the present invention.

[0037] Fig.11 A schematic diagram of writing factors of an intellectual property service consulting system provided for some embodiments of the present invention.

[0038] Fig.12 A schematic diagram of the structure of a trademark module of an intellectual property service consulting system provided in some embodiments of the present invention.

[0039] Fig.13 A schematic diagram of the structure of a patent transaction module of an intellectual property service consulting system provided for some embodiments of the present invention.

[0040] Fig.14 A schematic diagram of the structure of a processing device of an intellectual property service consultation system provided in some embodiments of the present invention. DETAILED DESCRIPTION

[0041] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0042] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0043] like Figures 1 to 13 As shown, an intellectual property service consulting system provided by an embodiment of the first aspect of the present invention includes a login module, a query module, a customer service module, a patent module, a trademark module, a guidance module, an evaluation module, a training module, an agency module and a complaint feedback module;

[0044] According to personal needs, users can choose to log in to their accounts directly through the login module after entering the intellectual property service consultation system. If the user has logged in to the system and conducted related business in the system, the business and progress conducted will pop up directly after logging in to the account;

[0045] If the user has logged into this system but has not conducted any related business, the user can directly click to enter the query module, customer service module, patent module, trademark module, guidance module, evaluation module, training module, agency module or complaint feedback module to conduct specific business consultation and communication or make complaint feedback, etc.

[0046] If the user has not logged in to this system, he / she will log in to the account after registration. After logging in, the customer service module and guidance module will pop up. The user can directly enter the customer service module for preliminary business consultation, or enter the specific business he / she wants to consult through the guidance module.

[0047] In the above embodiment, the system integrates patents, trademarks, training, inquiries and agents, making it convenient for customers to conduct patent applications, trademark registrations, patent transactions and trademark transactions. The agency module facilitates agencies to seek customers and reach agreements with customers, protecting the rights and interests of customers while ensuring the convenience of agencies in seeking customers. The customer service module and the guidance module can facilitate users who use the system for the first time to quickly and conveniently understand the system and apply the system to give users a better experience.

[0048] Specifically, Figure 8 As shown, the login module is used to log in to the account to ensure the confidentiality of the customer's information; the login module includes a user name login unit, a QR code login unit and a face recognition unit. The setting of the user login unit enables the user to log in to the service consultation system through the number, and the setting of the QR code login unit enables the user to scan the code through the mobile phone. The face recognition unit can be used to log in by face recognition using the mobile phone or computer camera. Through the cooperation between the user name login unit, the QR code login unit and the face recognition login, the diversity of the service consultation module login methods is achieved, so that a variety of login methods can be used when logging in to the consultation system, effectively solving the problem of login number transfer; the login method of the ID number in the user name login unit or the face recognition login method is adopted to avoid the loss of historical collections caused by the need to re-register the personal information of the website after the software and mobile phone number are cancelled; the face recognition login method can also avoid the loss of historical collections caused by the need to re-register the personal information of the website after the software and mobile phone number are cancelled, without the need to enter the ID number for login, which increases the convenience of login.

[0049] In addition, if the user wants to prevent others from using his or her account to log into the consultation system, he or she can also log in to the account through the face recognition login unit. When the user selects the face recognition login unit to set the face and selects to only log in through face recognition, only the user's face recognition can log in to the account, thereby increasing the confidentiality and security of the user's account.

[0050] When a user changes his mobile phone number, WeChat ID or QQ ID, he can choose to change the mobile phone number, WeChat ID or QQ ID used to log in to this system through face recognition authentication or ID card number authentication. After the change, all information of the original mobile phone number, WeChat ID or QQ number in this system will be cleared to prevent others from using the original mobile phone number, WeChat ID or QQ number to log in to this system and cause information leakage.

[0051] Optionally, the evaluation module is used to evaluate patent authorization rate, patent value and trademark registration success rate.

[0052] Specifically, Fig.10 and Fig.11As shown, the method of evaluating the patent authorization rate using the evaluation module includes the following steps:

[0053] Step S110: extract features from information related to the patent application document to be analyzed to obtain a number of features.

[0054] Here, the application type of the patent application document to be analyzed can be invention or utility model. The patent application document to be analyzed is the case where the user has completed the draft but has not yet applied for the application. At this time, the user can analyze the document through the analysis method of patent authorization probability, so as to provide guidance on whether it needs to be modified and how to modify it.

[0055] Optionally, the information related to the patent application document to be analyzed includes but is not limited to the information recorded in the patent application document to be analyzed.

[0056] Optionally, the information related to the patent application document to be analyzed includes information from multiple aspects; feature extraction is performed on the information related to the patent application document to be analyzed to obtain a number of features, including: feature extraction is performed on the multiple aspects of information respectively to obtain a number of features corresponding to the multiple aspects of information respectively.

[0057] Here, multiple aspects of information may refer to information related to multiple aspects of the patent application document to be analyzed, for example, information related to the applicant of the patent application document to be analyzed, information related to the technical field of the patent application document to be analyzed, etc. Multiple aspects are mainly distinguished from "one aspect", specifically referring to the relevant information of four aspects: technical semantic information, writing related information, patent field related information and comparative document information.

[0058] Among them, technical semantic information is, for example, information extracted from the patent application document to be analyzed, specifically, information extracted from the abstract, claims, specific implementation methods, and even at least a part of the drawings of the patent document to be analyzed. Extracting features from technical semantic information is mainly intended to extract features related to the technical solution, so that the technical solution recorded in the patent application document to be analyzed can be analyzed through the extracted features, and then the authorization probability of the patent application document to be analyzed can be estimated. Writing-related information includes, for example, the number of claims, the total number of words in the independent claims, the number of words in the specification, and other information. This information can, to a certain extent, reflect the writing level of the patent application document to be analyzed, the layout of the claims, and the size of the protection scope, thereby providing data for calculating the probability of patent authorization.

[0059] In the embodiments of the present application, the information in various aspects is obviously not limited to the above information; for example, it may also include the application type, etc. It is easy to understand that for utility model patent applications, the probability of authorization is higher than that of invention patent applications.

[0060] Next, taking writing-related information as an example, feature extraction is performed on writing-related information, and the obtained features include the following parts: number of claims, number of independent claims, total number of words in independent claims, total number of words in the specification, total number of drawings, total number of PDF pages, total number of words in the abstract, and total number of words in the title; among them, writing-related information can also be called writing factors that affect the probability of patent authorization.

[0061] It is understandable that considering the writing factors of the patent application document to be analyzed can, to a certain extent, reflect the writing level of the patent application document and the scope of protection of the claims; mainly through evaluation from the perspectives of the number of claim sets (number of independent claims), the total number of claim items (number of claims), the length of the claims, the length of the specification (total number of words in the specification), etc., so as to determine the contribution of the writing factors to the probability of authorization. Generally, the more technical features an independent claim contains, the smaller the scope of protection of the claim, and thus the less likely it is to be disclosed by the prior art, and the higher the possibility of authorization.

[0062] Step S120: Calculate the authorization probability of the patent application document to be analyzed based on several characteristics.

[0063] Here, the calculation of the authorization probability of the patent application document to be analyzed can be implemented based on the trained prediction model. In specific applications, the trained prediction model may include an Xgboost model. Xgboost stands for ExtremeGradientBoosting, which is a type of gradient boosting tree model. It also generates models serially and takes the sum of all models as output. The model corresponding to Xgboost is essentially a bunch of CART trees; using a bunch of trees for prediction means adding the prediction values ​​of each tree together as the final prediction value. The embodiment of the present application adopts the Xgboost algorithm tree, which has the characteristics of high concurrent computing efficiency and better prediction effect compared to the use of the gbdt model. By training the Xgboost model, the model has the ability to predict the probability of patent authorization.

[0064] Optionally, the step of calculating the authorization probability of the patent application document to be analyzed based on a number of features may include: performing data preprocessing on the several features; and calculating the authorization probability of the patent application document to be analyzed using the results after data preprocessing.

[0065] Specifically, features may include first-class features, which are features with numerical contents, or simply referred to as "numerical features". For example, the number of claims, the total number of words in the abstract, the total number of words in the specification, etc., the content of this type of feature is a specific numerical value, such as the number of claims is 10, the total number of words in the abstract is 283, and the total number of words in the specification is 15456.

[0066] Specifically, calculating the authorization probability of the patent application document to be analyzed based on several features may include: normalizing the first type of features; and calculating the authorization probability of the patent application document to be analyzed based on the normalization result.

[0067] Here, the normalization process may adopt a normalization process method commonly used in the field, and this application does not impose any specific restrictions on this. For example, the mean and variance of the first-category features may be calculated, and each first-category feature may be normalized according to the mean and variance.

[0068] According to several features, the grant probability of the patent application document to be analyzed can be calculated based on the trained prediction model.

[0069] Step S130, determining the contribution of each feature to the authorization probability.

[0070] Here, the contribution of each feature to the probability of authorization is determined, for example, by using shap value. Drawing on the calculation idea of ​​shapvalue and combining all the features of the model, the contribution of each feature to the final output prediction value (authorization probability) of the model is calculated, that is, the degree of influence of each feature on whether the patent is authorized or not. The larger the contribution value, the greater the influence of the feature on the probability of patent authorization.

[0071] In specific applications, for example, the Xgboost model + shap value form is adopted. Through the above training of the Xgboost model, the model has the ability to predict the probability of patent authorization, and when the model outputs the probability value, the shapvalue value is introduced to calculate which features mainly affect the probability value output by the model, thereby realizing the combination of model prediction and model interpretation.

[0072] Of course, it should be understood that the present application is not limited to this, and other methods that can achieve output prediction values ​​and output contribution can also be applied to the analysis method of patent authorization probability provided in the embodiment of the present application.

[0073] Step S140, obtaining analysis results, the analysis results including authorization probability and explanation of the authorization probability, the explanation being generated based on the contribution.

[0074] It is understandable that in the related art, the process of obtaining the authorization probability is like a black box, which only outputs a final probability prediction value and cannot provide users with more useful reference information from the patent dimension. The patent authorization probability analysis method provided in this application not only predicts the authorization probability of the patent application document to be analyzed, but also determines the contribution of each feature to the authorization probability, obtains an explanation of the authorization probability, and the analysis results obtained are more instructive for the user's subsequent decision-making.

[0075] Optionally, obtaining analysis results includes: determining the contribution of each aspect of the multiple aspects of information to the authorization probability based on the correspondence between the multiple aspects of information and a number of features; generating an explanation of the authorization probability based on the contribution of each aspect of the information to the authorization probability; and obtaining analysis results based on the authorization probability and the explanation.

[0076] In practical applications, the features that have the greatest impact on the output authorization probability among the input features are calculated. For example, the top n features with the greatest contribution are determined by sorting them according to their contribution, where n is a positive integer. Then, according to a pre-set mapping relationship table, which contains the correspondence between multiple aspects of information and multiple features, all these features are mapped to the above-mentioned multiple aspects of information to form the final scores of each aspect and interpret the prediction results.

[0077] Optionally, the information related to the patent application document to be analyzed includes technical semantic information; the analysis method of patent authorization probability provided in the embodiment of the present application also includes: obtaining semantic search results based on the technical semantic information; the semantic search results include patents whose semantic similarity with the patent application document to be analyzed meets preset rules; the analysis results include semantic search results.

[0078] Here, as one of the information related to the patent application document to be analyzed, the technical semantic information can also be used to output other patents with high similarity to the patent application document to be analyzed from the semantic aspect. This step can be achieved by the semantic retrieval part of the prediction module. The preset rule is, for example, patents whose semantic similarity with the patent application document to be analyzed is ranked within the first number; taking the first number equal to 10 as an example, the semantic search results include the top 10 patents with semantic similarity with the patent application document to be analyzed. In addition, it is not excluded that the preset rule is that the semantic similarity with the patent application document to be analyzed is higher than the preset threshold. Thus, the number of other patents with high similarity output can be one or more, and this application does not make specific restrictions on this. Finally, the semantic search results, authorization probability, and the interpretation of the authorization probability are output together as the analysis results, realizing the multi-dimensional expression of the patent authorization probability analysis results, providing users with as much information as possible, helping users to analyze the patent application documents to be analyzed, and more guiding significance for users' subsequent decision-making.

[0079] Optionally, the information related to the patent application document to be analyzed includes drawing information, and the information related to the patent application document to be analyzed includes drawing information, and semantic search results are obtained based on the technical semantic information; the semantic search results include patents whose semantic similarity with the patent application document to be analyzed meets preset rules; the analysis results include semantic search results.

[0080] Optionally, the method of evaluating the patent value using the evaluation module may be evaluated using the method disclosed in Chinese Patent 202410141587.1.

[0081] Optionally, the method of using the evaluation module to evaluate the success rate of trademark registration is:

[0082] Step S201, obtaining a trademark to be registered, and filtering the trademark for non-distinctive words according to a preset filtering rule;

[0083] Step S202, comparing the filtered trademark name with the trademark data in the trademark database, and when a first comparison trademark that is completely identical to the filtered trademark name is retrieved, obtaining a related group of the first comparison trademark, and setting the registration success rate of the trademark to be registered under the related group to the first success rate; when a second comparison trademark that is partially identical to the filtered trademark name is retrieved, obtaining a related group of the second comparison trademark, comparing the similarity between the filtered trademark name and the second comparison trademark, and setting the registration success rate of the trademark to be registered under the related group to the second success rate;

[0084] Step S203, segmenting and reorganizing the trademark names filtered by the trademarks to be registered;

[0085] Step S204, comparing the reorganized trademark name with the trademark data in the trademark database, and when a third comparison trademark that is completely identical to the reorganized trademark name is retrieved, obtaining a related group of the third comparison trademark, and setting the registration success rate of the trademark to be registered under the related group as the third success rate;

[0086] Step S205, after obtaining the trademark to be registered, compare the trademark to be registered with the trademark data in the trademark database, and when a fourth comparison trademark that is completely identical to the trademark to be registered is retrieved, obtain a related group of the fourth comparison trademark, and set the registration success rate of the trademark to be registered under the related group as the fourth success rate;

[0087] Step S206, outputting the trademark registration success rate of the trademark to be registered in the relevant group according to the first success rate, the second success rate, the third success rate and the fourth success rate.

[0088] Specifically, in step S101, a trademark to be registered is obtained, and non-distinctive words are filtered for the trademark to be registered according to preset filtering rules.

[0089] In this embodiment, the trademark to be registered can be a Chinese trademark or an English trademark. Non-significant words are words that do not have an obvious impact on the overall distinctiveness during trademark examination. When the trademark to be registered is a Chinese trademark, the trademark name may contain non-significant words such as function words and adverbs. These words have a relatively weak impact during the trademark distinctiveness review process. Therefore, after filtering these words and then making comparisons or reorganized comparisons, a more accurate prediction of the similarity degree of the trademark can be obtained, and the prediction accuracy rate is higher. For Chinese-English trademarks, the trademark name may contain industry terms, and the industry terms need to be removed before making comparisons.

[0090] In this embodiment, it is one or several of industry terms, function words, numeral-classifiers, and place-related words. In other embodiments, it can also be other non-significant words.

[0091] Among them, industry terms are words that refer to an industry. For example, when the trademark to be registered is "Zhi Fuzǐ Intellectual Property", the four words "Intellectual Property" are industry terms, referring to the intellectual property industry. Therefore, the filtered trademark name becomes "Zhi Fuzǐ".

[0092] Function words refer to words in Chinese vocabulary that have no actual meaning and cannot form a sentence independently. Function words generally include prepositions, conjunctions, auxiliary words, modal particles, and adverbs, such as "de", "di", "le", "ye", "ba", "dao", "you", etc. For example, when the trademark to be registered is "The Future of Xuanwu", "zhi" is a function word. Therefore, the filtered trademark name becomes "Xuanwu Future".

[0093] Numeral-classifiers include indefinite numeral-classifiers and numerals, and are also adjectives that express number, quantity, or degree. For example, when the trademark to be registered is "Six Walnuts", "Six" is a numeral-classifier. Therefore, the filtered trademark name becomes "Walnuts".

[0094] Place-related words are, for example, "factory", "hall", "village", "hamlet", etc. For example, when the trademark to be registered is "Tongrentang", "hall" is a place word. Therefore, the filtered trademark name becomes "Tongren".

[0095] In step S202, compare the filtered trademark name with the trademark data in the trademark database. When it is retrieved that there is a first comparison trademark that is exactly the same as the filtered trademark name, obtain the relevant groups of the first comparison trademark, and set the registration success rate of the trademark to be registered under the relevant groups as the first success rate; when it is retrieved that there is a second comparison trademark that is partially the same as the filtered trademark name, obtain the relevant groups of the second comparison trademark, compare the similarity degree between the filtered trademark name and the second comparison trademark, and set the registration success rate of the trademark to be registered under the relevant groups as the second success rate.

[0096] Since the success rate of trademark registration is determined only by comparing trademarks in the same category in the trademark database, no cross-category comparison is performed. Therefore, when the trademark to be registered is obtained, the category to be registered is also obtained, and the filtered trademark name is compared with the trademark data of the corresponding category in the trademark database. When the trademark to be registered is obtained without obtaining the category to be registered, the filtered trademark name is compared with the trademark data of the 45 categories in the trademark database.

[0097] In this embodiment, the data in the trademark database includes all the trademark data that have not expired, including the trademark application data that is being registered but not yet approved, and the trademark registration data that has been registered and is still valid. In other embodiments, it may also include the trademark registration data that has been registered but has expired, and / or the trademark application data that has been applied but not successfully registered.

[0098] When a first comparative trademark that is exactly the same as the filtered trademark name is retrieved, the relevant group of the first comparative trademark is obtained. Exactly the same trademark refers to trademarks that are exactly the same in terms of text and arrangement. Since trademark registration is one mark per category, and several groups are selected in one category when applying for a trademark, the trademark that is ultimately successfully registered is only the trademark that is successfully registered in the corresponding group. Therefore, the group corresponding to the first comparative trademark when it was registered is first obtained. However, the Trademark Law stipulates that if a mark that is identical or similar to another person's registered trademark is used as a commodity or commodity decoration on similar commodities, which misleads the public, it is also an infringement of the exclusive right to a registered trademark as stipulated in the Trademark Law. Therefore, it is also necessary to select a similar group corresponding to the group, which is conducive to improving the prediction accuracy. Therefore, in this embodiment, the relevant group is the group corresponding to the comparative trademark when it was registered and the similar group corresponding to the group.

[0099] Since when a first comparison trademark with the same name as the filtered trademark is retrieved, the registration success rate is generally low, in this embodiment, the first success rate is set to a value between 10% and 35%. In other embodiments, the first success rate can also be other values.

[0100] In other embodiments, the relevant group of the first comparative trademark is only the group to which the first comparative trademark corresponds when it is registered.

[0101] However, it is usually not possible to directly retrieve an identical comparative trademark, and therefore the method also includes: when a second comparative trademark having a partially identical name to the filtered trademark is retrieved, a related group of the second comparative trademark is obtained, the similarity between the filtered trademark name and the second comparative trademark is compared, and the registration success rate of the trademark to be registered under the related group is set to the second success rate.

[0102] For example, if the trademark name after filtering is "Xuanwu Future", and the second comparison trademarks are "Xuanwu", "Future", "Xuanwu Wei" and "Xuanwu Lai", it is necessary to obtain the relevant groups of these four second comparison trademarks respectively, and obtain the second success rate compared with the four second comparison trademarks. The relevant group is the group corresponding to the registration of the comparison trademark, or the group corresponding to the registration of the comparison trademark and the similar group corresponding to the group. However, since the relevant groups of the four second comparison trademarks may overlap, it is also necessary to integrate and remove duplicates from the group results so that each group corresponds to a second success rate.

[0103] Since when a second comparison trademark is retrieved that is not completely identical to the filtered trademark name, the registration success rate is generally higher than the first success rate. In this embodiment, the second success rate is set to a value between 25% and 80%. The specific value of the second success rate is related to the position of the non-exactly identical words or letters, and the number of non-exactly identical words (Chinese trademarks) and letters (English trademarks).

[0104] In step S203, the trademark names filtered by the trademark to be registered are segmented and reorganized. For example, if the filtered trademark name is "Xuanwu Future", "Xuanwu Future" is reorganized to form multiple reorganized trademark names such as "Future Xuanwu", "Wu Wei Xuan Lai", "Lai Xuanwu Wei", etc.

[0105] In step S204, the reorganized trademark name is compared with the trademark data in the trademark database. When a third comparative trademark that is exactly the same as the reorganized trademark name is retrieved, a related group of the third comparative trademark is obtained, and the registration success rate of the trademark to be registered under the related group is set to the third success rate.

[0106] Since the filtered trademark names are reorganized in step S203 to form multiple reorganized trademarks, when a third comparative trademark that is exactly the same as the reorganized trademark name is retrieved, there may also be multiple third comparative trademarks. When the relevant group is the group corresponding to the registration of the comparative trademark and the similar group corresponding to the group, and there are multiple third comparative trademarks in the same category, the group results are integrated and deduplicated.

[0107] In this embodiment, the third success rate is set to a value between 25% and 80%. The specific value of the third success rate is related to the way of reorganization. For example, if "Xuanwu Future" is reorganized to form "Future Xuanwu" and "Wu Wei Xuan Lai", the two success rates will be different. The registration success rate of "Wu Wei Xuan Lai" is often greater than that of "Future Xuanwu". In other embodiments, the third success rate can also be other values.

[0108] In step S205, after obtaining the trademark to be registered, the trademark to be registered is compared with the trademark data in the trademark database. When a fourth comparison trademark that is completely identical to the trademark to be registered is retrieved, a related group of the fourth comparison trademark is obtained, and the registration success rate of the trademark to be registered under the related group is set to the fourth success rate. Since when a fourth comparison trademark that is completely identical to the trademark to be registered is retrieved, the fourth success rate is generally set to 0-10%.

[0109] In the embodiment of the present invention, the order of step S202 and step S205 can be swapped, and the order of S202 and steps S203 and S204 can be swapped.

[0110] In this embodiment, in step S206, the trademark registration success rate of the trademark to be registered under the relevant group is output according to the first success rate, the second success rate, the third success rate and the fourth success rate. The trademark registration success rate of the trademark to be registered under the relevant group is the lowest value of the first success rate, the second success rate, the third success rate and the fourth success rate under the corresponding relevant group. Since there may be multiple comparison trademarks under one group, each comparison trademark corresponds to a success rate, so the trademark registration success rate of the trademark to be registered under a certain group is the lowest value of the first success rate, the second success rate, the third success rate and the fourth success rate under the corresponding relevant group.

[0111] In this embodiment, the integration and deduplication of the group results are completed in steps S202 and S204. In other embodiments, it can also be completed in step S206.

[0112] In this embodiment, in addition to evaluating the success rate of the filtered trademark names, the unfiltered trademark names are also compared for similarity to comprehensively determine the trademark registration success rate. However, since it is a conventional technique to compare the unfiltered trademark names for identicalness, in other embodiments, the trademark registration success rate query method may also only include evaluating the registration success rate of the filtered trademark names.

[0113] Furthermore, if the user wants to directly conduct business such as patent authorization rate, trademark registration success rate or patent value assessment, he can log in to this system and directly click into the assessment module and then click on the specific business needs to upload relevant materials and conduct the assessment.

[0114] Through the setting of the evaluation module, the authorization rate of patent application documents, the success rate of trademark registration, the patent value, etc. can be effectively evaluated to ensure that users can effectively guarantee the success rate whether they are applying for patents or trademark registrations, so as to protect the maximum rights and interests of users. Patent value evaluation can ensure the rationality of patent trading costs and avoid situations where prices are too low or too high and affect user experience.

[0115] Optional, such as Figure 4 and Figure 5 The patent module shown includes patent application, invalidation litigation and patent transaction.

[0116] After entering the patent module, users can select patent application, invalidation litigation or patent transaction according to their own business needs.

[0117] When the user enters the patent application section, the customer can first provide a technical solution, and then each agency will evaluate the patent authorization rate based on the technical solution, give an authorization rate and quote, and introduce the services that can be provided. If the customer approves the price and service, he / she will pay the patent agency fee, and then the agency will write the manuscript. After the manuscript is written, the patent authorization rate will be evaluated. When the patent authorization rate reaches the agreed authorization rate, the customer will confirm and close the case.

[0118] The patent agent of the agency will search for relevant patents based on the solution in the technical briefing document through the big data service unit of the query module or through other databases, make a preliminary assessment of the authorization rate of the solution based on the similarity between the relevant patents and the technical solution in the technical briefing document, and feedback the assessment results to the client.

[0119] When the user enters the invalidation lawsuit section, the following steps are included:

[0120] Step S301, select whether to invalidate the patent or to file a patent lawsuit;

[0121] Step S302: If you choose to invalidate a patent, enter the patent application number or patent document or patent technical solution that needs to be invalidated or sued, and the back-end staff will assist the user in selecting a suitable agency based on the patent field and recommend at least two suitable agencies to the user;

[0122] Step S303: The user selects at least one agency based on the information of the recommended agencies;

[0123] Step S304: The back-end staff contacts the agency selected by the user, and the agency and the customer connect directly.

[0124] When a client has chosen at least two agencies, at least two agencies can communicate with the client one-on-one, and the client can choose the agency he or she approves of based on the communication results. The agency will then handle the specific invalidation or litigation business. The back-end staff will be responsible for supervising the agencies to avoid clients being deceived due to their lack of understanding of the situation and to provide clients with a better business experience.

[0125] Optional, such as Fig.13As shown, the patent transaction part includes an intellectual property search module, a buyer-seller communication module, a price re-evaluation module, a question consultation module, a stability identification module and a commissioned transaction module; the intellectual property search module includes an intellectual property library and a search engine, and all intellectual property rights are marked with the price at which the seller sells, transfers or licenses, the third-party evaluation price, the third-party evaluation time and the seller's contact information; in the buyer-seller communication module, the buyer inputs the seller's contact information marked with the intellectual property to communicate with the seller, and the buyer can consult the seller about relevant intellectual property information and prices; in the price re-evaluation module, if the buyer has objections to the price proposed by the seller, this module can be used for real-time evaluation; in the question inquiry module, buyers can communicate with each other, and buyers can also consult online customer service, and buyers can also leave messages and wait for back-end staff to reply; the stability identification module is mainly for utility model and appearance intellectual property rights, and both buyers and sellers can conduct stability identification on a certain intellectual property to ensure the later use effect and reduce the possibility of infringement; in the commissioned search module, buyers can entrust back-end staff to help them find and screen the intellectual property rights that best suit them.

[0126] Optionally, a price re-evaluation method is proposed, including the following steps: S1, entering the price re-evaluation module; S2, the buyer inputs information related to the intellectual property rights; S3, the back-end staff conducts the valuation and contacts the buyer to show the results after the valuation is completed; the back-end staff is an intellectual property expert, which facilitates the valuation of the intellectual property rights and prevents the situation where the early valuation becomes seriously inconsistent with reality over time, resulting in damage to the interests of the buyer and the seller.

[0127] Optionally, a stability identification method is proposed, which is characterized in that it includes the following steps: S1, entering the stability identification module; S2, inputting intellectual property related information; S3, entrusting a professional identification agency to conduct stability identification upon request by backstage personnel; S4, backstage personnel sending an identification report issued by a professional agency to the initiator of the identification.

[0128] Optionally, a commissioned transaction method is proposed, which is characterized by comprising the following steps: S1, entering the commissioned transaction module; S2, the seller inputs intellectual property related information; S3, waiting for contact from backstage personnel; the seller does not need to communicate directly with the buyer, saving time and effort, and the backstage personnel have a deeper understanding of intellectual property and can better answer the buyer's questions, which is conducive to promoting the transaction of intellectual property.

[0129] Optionally, a commissioned search method is proposed, including the following steps: S1. Enter the commissioned search module in the service platform; S2. Enter the field, scope and detailed requirement information of the intellectual property rights; S3. Leave your own contact information and wait for the back-end staff to contact you; S3. The back-end staff searches and screens the intellectual property rights according to the buyer's requirements, and provides the buyer with the intellectual property rights that best meet his or her requirements; the buyer does not need to spend time searching and screening to obtain the intellectual property rights that best meet his or her requirements, saving time and effort.

[0130] Optionally, in step S3 of the entrusted search method, the backend staff ranks the intellectual property rights according to the degree of consistency between the intellectual property rights and the buyer's requirements, lists ten intellectual property rights from high to low in order of consistency, and provides them to the buyer; this facilitates the buyer to make a comprehensive comparison and select the intellectual property rights that he needs most.

[0131] In an optional embodiment, the intellectual property library is divided into a domestic section and a foreign section; the intellectual property content is improved to cover a wide range of content.

[0132] The patent module allows users to intuitively understand the processes of patent application, patent transaction and patent invalidation litigation and quickly and accurately entrust them to appropriate agents or patent transaction parties, which increases user convenience and prevents users from being deceived.

[0133] Optional, such as Fig.12 As shown, the trademark module includes two parts: trademark registration and trademark transaction.

[0134] Trademark registration: When the user enters the trademark registration section, the customer can first provide the trademark to be registered, and then use the evaluation module to evaluate the trademark registration success rate. When the trademark registration success rate is low, the back-end staff will give the evaluation results and recommend a registered trademark plan. The customer will choose whether to register with the original trademark or change the trademark based on the recommendation. When the customer confirms the trademark that needs to be registered in the end, the back-end staff will assist in the final registration of the trademark.

[0135] Trademark transaction: When users conduct trademark transactions, they can choose the appropriate trademark according to their own needs.

[0136] The authenticity and validity of the trademark will be confirmed by the backend, including basic information such as the trademark name, pattern, registration number, registration category, and validity period.

[0137] If the trademark is authentic and valid, the buyer and seller will reach a preliminary intention on the trademark transaction.

[0138] After the buyer and seller reach an agreement through negotiation, they sign a "Trademark Transfer Contract / Agreement" to clarify the rights and obligations of both parties, including the transfer scope, nature, fees, and liability for breach of contract of the trademark.

[0139] The back-end staff will assist with the next step of trademark transfer.

[0140] By confirming the authenticity and validity of the trademark in the background, users can avoid purchasing fake or invalid trademarks.

[0141] Further, if Figure 6 As shown, the agency module includes two parts: patent agency and trademark agency. Patent agency includes patent application agency, invalidation litigation agency and patent transaction agency. Trademark agency includes trademark registration agency and trademark transaction agency. Agencies entering the agency module can choose to enter the patent agency part or the trademark agency part to undertake patent agency business or trademark agency business according to their own business acceptance needs. Agencies entering the agency module can also publish agency business acceptance needs according to their own business acceptance needs.

[0142] like Figure 7 As shown, the big data service unit, government service unit, patent service unit, search service unit and trademark service unit together constitute the query module.

[0143] If users want to know about government policies, they can enter the query module and directly click on the government service unit to enter and query government policies.

[0144] Specifically, the government service unit includes the government intellectual property software system and the government intellectual property consulting service. The setting of the government service unit facilitates the consultation on government information.

[0145] If users want to search for patents, they can directly enter the big data service unit to conduct patent searches.

[0146] The big data service unit includes patent value assessment service, patent full-text translation service, patent batch download service, patent big data open service, and patent value-added description service. The setting of patent value assessment service provides users with big data search services such as data collection, data query, and patent application document services. The setting of patent full-text translation service can translate foreign documents into the version desired by users, thereby facilitating users' reading. The setting of patent batch download service enables patents to be downloaded in batches. The setting of patent big data open service can derive diverse results from big data, and the patent value-added description service can perform batch processing.

[0147] You don't need to log in to the big data service unit, but you need to log in to the enterprise service unit, government service unit, patent service unit and search service unit.

[0148] If the user wants to inquire about the progress of his patent business or trademark business, he can enter the patent service unit or enter the trademark service unit and log in to his account to inquire about the progress of the patent business or trademark business in which he is involved.

[0149] If the user is involved in many patent or trademark businesses, he can enter the search service unit, log in to his account, and directly search for the cases in which he is involved.

[0150] Optional, such as Figure 2 As shown, if customers are not familiar with this system or choose to learn about patent / trademark related business through the guidance module according to their own habits, so as to avoid time waste caused by operational errors;

[0151] The customer enters the guidance module, fills in the first identity information to confirm whether he has used this system to conduct patent / trademark related business. If so, he enters the login module to log in to his account and a list of related businesses he has participated in will pop up;

[0152] If you have never used this system, you will need to conduct a second identity authentication to confirm whether you are an agency. If you are an agency, log in to your account and the various business requirements of Party A will pop up. The agency can enter the business requirements and carry out case agency work.

[0153] If you are not an agency, a pop-up will appear asking whether you need guidance / communicate with customer service to gain a preliminary understanding of the business involved in this system. If not, log in to your account and directly select the business needs of patents / trademarks. If you need a preliminary introduction from customer service, enter the customer service module. If guidance is needed, output a guidance video or guidance flowchart and proceed to the next step according to the guidance flowchart.

[0154] Optionally, if the user has any dissatisfaction with the use of this system or customer service, he or she can file a complaint through the complaint feedback module. Customers can choose to file a real-name complaint or an anonymous complaint based on their personal wishes.

[0155] Customers can enter the complaint feedback module without logging into their account first and can directly submit complaint feedback.

[0156] The specific method of the user complaint feedback module is that first, the user selects the actual type of complaint based on the actual situation, such as the attitude of the manual customer service or agency is bad, the business introduction of the manual customer service or agency is unclear, the intelligent customer service business needs to be improved, or the person who makes the request does not describe the request clearly, etc.

[0157] If a user submits a complaint, the back-end staff responsible for handling the complaint will verify it immediately. If the situation is true, it will be handled accordingly.

[0158] Specifically, if a user complains about the bad attitude of manual customer service or agency service, after the backend staff verifies that the situation is true, the corresponding manual customer service or agency will be punished accordingly and the complaining user will be given a corresponding reward.

[0159] If an agency complains that a user's requirements are not clearly described, their attitude is bad, or they use verbal abuse, etc., the backend staff will, after verifying that the situation is true, impose a penalty of banning the user from using the system for a certain period of time.

[0160] If a user or agency makes a malicious complaint and the backend staff discovers it, they will be given a warning the first time, a short-term ban the second time, and a permanent ban on the third time. If they want to continue using the system, they will need to pay a deposit before they can use the system.

[0161] Optional, such as Figure 3 As shown, if customers just want to have a simple understanding of the system, they can directly enter the customer service module to consult related business.

[0162] The process of the customer service module is as follows: first, enter the quick question and answer session. In the quick question and answer session, set a number of frequently asked questions. The customer clicks on the frequently asked questions and automatically outputs the answers. If the customer has more than three questions, a pop-up window will pop up. The customer can choose intelligent customer service or leave specific questions and contact information for the next step;

[0163] When entering the customer service module, customers first enter the quick question and answer session. When there are more than three questions in the quick question and answer session, customers can choose to enter the intelligent customer service or leave questions and contact information to learn more about the relevant business. After learning more about the relevant business through the intelligent customer service, they can choose to log in to the account and then transfer to the specific business module;

[0164] If the customer chooses intelligent customer service and asks further questions, the intelligent customer service will provide detailed answers to the customer's questions. If the customer approves the service, the customer will log in to the account for specific business exchanges.

[0165] If the customer chooses to leave a question, he / she can directly leave the question and contact information. Subsequently, a dedicated manual customer service will call to answer the customer's question. If the customer thinks it is reasonable, he / she can directly log in to the account through the link sent by the manual customer service to conduct specific business exchanges.

[0166] The intelligent customer service response is implemented by using an intelligent question-answering method and device based on a large language model as disclosed in patent CN118503387A.

[0167] To conduct specific business exchanges, you can directly enter the patent application, invalidation litigation, patent training, patent transaction of the patent module or the trademark registration, trademark transaction of the trademark module.

[0168] The training modules include introductory knowledge training and premium knowledge training. The introductory knowledge training is free and open to everyone, while premium knowledge training requires payment for participation. The specific process for watching premium knowledge training is that the trainees need to input the training courses they want to attend, jump to the payment module, and participate in the premium knowledge training after paying a certain fee; it is convenient for popularizing intellectual property knowledge and conducive to better carrying out intellectual property social services.

[0169] like Fig.14 As shown, as another aspect, the present application also provides an electronic device, including one or more central processing units (CPUs), which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) or programs loaded from a storage portion into a random access memory (RAM). In the RAM, various programs and data required for device operation are also stored. The CPU, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0170] The following components are connected to the I / O interface: an input section including a keyboard, a mouse, etc.; an output section including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section including a hard disk, etc.; and a communication section including a network interface card such as a LAN card, a modem, etc. The communication section performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., are installed on the drive as needed so that a computer program read therefrom is installed into the storage section as needed.

[0171] In particular, according to the embodiments disclosed in the present application, the method described in any of the above embodiments can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program tangibly contained on a machine-readable medium, and the computer program includes a program code for executing the method described in any of the above embodiments. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part, and / or installed from a removable medium.

[0172] As another aspect, the present application further provides a computer-readable storage medium, which may be a computer-readable storage medium included in the apparatus of the above embodiment; or a computer-readable storage medium that exists independently and is not assembled into the device. The computer-readable storage medium stores one or more programs, which are used by one or more processors to execute the method described in the present application.

[0173] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented by a dedicated hardware-based system that performs a specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions. The unit or module described in the embodiment of the present application can be implemented by software or by hardware. The units or modules described may also be arranged in a processor, for example, each of the units may be a software program arranged in a computer or a mobile smart device, or may be a separately configured hardware device. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.

[0174] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An intellectual property service consulting system, characterized in that: include: Patent module, trademark module, agency module and guidance module; users enter the patent module, the trademark module or the guidance module based on business needs; the patent module users enter specific patent business, and the trademark module users enter specific trademark business; the agency module is used to conduct agency business; the guidance module is used to guide users to enter specific patent business or specific trademark business.

2. The intellectual property service consulting system according to claim 1, characterized in that: It also includes a login module, through which the user logs into the account before entering into a specific patent business or a specific trademark business.

3. The intellectual property service consulting system according to claim 2, characterized in that: The guidance module includes identity authentication, and the user logs into the account through the login module after passing the identity authentication.

4. The intellectual property service consulting system according to claim 3, characterized in that: The identity authentication includes a first identity authentication, which is used to confirm whether the user has used the system to conduct patent / trademark related business. If the user has used the system to conduct patent / trademark related business, the business in which the user has participated will pop up directly after logging into the account.

5. The intellectual property service consulting system according to claim 4, characterized in that: The identity authentication also includes a second identity authentication. After the first identity authentication, the user has not used the system for patent / trademark related business. The second identity authentication is used to confirm whether the user is an agency. If the second identity authentication confirms that the user is an agency, the agency business will pop up directly after logging into the account. If the second identity authentication confirms that the user is not an agency, a pop-up will be displayed to ask whether guidance is needed / communicate with customer service to initially understand the system. If no guidance or communication with customer service is needed, the user will directly enter the login module to log in to the account.

6. The intellectual property service consulting system according to claim 1, characterized in that: It also includes a complaint feedback module. Users who enter the intellectual property service consultation system can directly enter the complaint feedback module, which is used to resolve user complaints and improve the system.

7. The intellectual property service consulting system according to claim 1, characterized in that: It also includes a query module, which users can directly enter. The query module is used for users to query business progress, government policies, and search for patents through a patent database.

8. The intellectual property service consulting system according to claim 2, characterized in that: The login module includes a user login unit and a QR code login unit, and the user can choose to log in to the account through the QR code login unit or through the user login unit.

9. An electronic device, characterized in that: include: Central processing unit; a memory for storing executable instructions; Wherein, the central processing unit implements the function of the intellectual property consulting service system as described in any one of claims 1 to 8 by calling the executable instructions.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the functions of the intellectual property consulting service system described in any one of claims 1 to 8 are realized.

Images